Nearly 150 female politicians across Europe have been found listed or depicted on websites featuring sexual deepfakes, according to research reported by WIRED. It covers 22 European Union (EU) countries and highlights the use of artificial intelligence (AI) to create or spread explicit content involving women in public life.
The research identified at least 138 female politicians connected to these websites. Such content can use AI to create fake sexual images or alter real photographs to make them appear explicit. These images can be shared online without the person’s consent.
This raises concerns about online abuse, privacy and the safety of women in politics. They also highlight the challenges of removing non-consensual deepfakes from websites and preventing them from spreading.
Research Finds Female Politicians Across 22 EU Countries
The research identified at least 138 female politicians listed or depicted on sexual deepfake websites across 22 European Union (EU) member states. This suggests that this form of online abuse affects women in public office across several European countries.
Among the politicians publicly identified in reports about the issue are Dutch MPs Suzanne Kröger and Sarah Dobbe. Their cases highlight concerns about the use of politicians’ names, photographs and likenesses on websites featuring explicit content. However, the public findings do not provide a complete list of all the politicians identified in the research.
Sexual deepfakes use AI tools to create or manipulate images and videos with explicit content. In many cases, these tools can place a real person’s face onto a different body or alter existing images. The resulting content may look convincing, even when the person has never taken part in the activity shown.
The presence of politicians on these sites does not necessarily mean that every person identified was depicted in an AI-generated image. Some may have been listed or referenced on the websites. The exact circumstances can differ from one case to another.
However, this shows how websites featuring sexual deepfakes can target women who hold public positions. The content can also reach large audiences, creating additional concerns for the people involved.
European Politicians Targeted by Deepfake Websites
Research by Agora Digitale Transformation found that female politicians across Europe appeared on explicit deepfake websites. Data captured in July 2026 showed differences in the number of members of parliament (MPs) identified in each country.
Germany had the highest number of MPs identified on explicit deepfake websites, with 28, followed by the Netherlands with 22, Italy with 18 and France with 17. Poland recorded 12 MPs, while Finland had nine. Denmark, Sweden, Greece and Belgium recorded seven, six, five and five MPs, respectively.
Countries
MPs Targeted
Germany
28
Netherlands
22
Italy
18
France
17
Poland
12
Finland
9
Denmark
7
Sweden
6
Greece
5
Belgium
5
How Sexual Deepfakes Can Affect Women in Politics
Sexual deepfakes can damage a person’s reputation and expose them to unwanted attention. Even when an image is fake, viewers may believe it is real or share it without checking its authenticity.
For female politicians, this can create additional pressure in their professional and public lives. They may have to respond to false claims, report abusive content or seek legal help to protect their privacy.
The effects can extend beyond the individuals shown in the images. The spread of sexual deepfakes may also discourage women from participating in political discussions or pursuing public office if they fear similar abuse.
However, the impact can vary. Not every targeted person will experience the same consequences, and the research findings alone do not establish the effect on each politician.
Why AI-Generated Sexual Images Are Difficult to Control
AI tools have made it easier to create realistic images with limited technical knowledge. Some tools can alter photographs or generate explicit images from existing pictures. This can allow people to produce misleading content without the consent of the person depicted.
Removing such material can also be difficult. An image may appear on several websites or be reposted across social media platforms. Even after the original content is removed, copies may continue to circulate.
Identifying the person who created or uploaded an image can present further challenges. Websites may operate across national borders, while the people responsible may use anonymous accounts or other methods to hide their identities. These issues can complicate efforts by victims, platforms and authorities to respond to sexual deepfakes.
European Countries Face Questions Over Deepfake Protections
The findings add to wider concerns about how European countries should respond to non-consensual sexual content created or altered using AI.
Possible responses include clearer rules on AI-generated intimate images, faster reporting and removal systems, and stronger support for victims. Law enforcement agencies may also need ways to investigate cases where the people responsible operate across borders.
Technology companies face questions about how they detect and restrict explicit content that uses a real person’s likeness without permission. However, effective enforcement can depend on the laws that apply, the location of the website and the evidence available in each case.
The research does not, by itself, establish that all the websites or images identified broke a particular law. Legal responsibility depends on the circumstances and the rules that apply in each country.
How Sexual Deepfakes Are Raising New Regulatory Concerns
The identification of at least 138 female politicians across 22 EU countries highlights the scale of the issue uncovered by the research. It also shows why discussions about AI safety increasingly include the misuse of image-generation tools.
The challenge extends beyond whether AI can produce realistic images. It also involves consent, the distribution of explicit material and the ability of affected people to seek help.
For policymakers, the findings may add to calls for stronger protections against non-consensual sexual deepfakes. For technology companies, they underline the need to consider how their tools could be misused and what safeguards may reduce that risk.
The research offers evidence of a problem affecting women in public life. Further details about the individual cases, the websites involved and the responses from authorities would help clarify the full extent of the issue.
A U.S. appeals court has temporarily blocked Minnesota’s ban on AI-generated fake nude images. The decision comes as Elon Musk’s xAI challenges the law on constitutional grounds.
The case raises questions about how far states can go to regulate AI-generated sexual images. It also highlights the legal challenges facing governments as they try to prevent the misuse of artificial intelligence.
Minnesota’s law aimed to address the creation and distribution of intimate images made without a person’s consent. Such images can use AI tools to make it appear that a real person is nude, even when the person never posed for the image.
The court’s decision temporarily prevents the ban from taking effect while the legal challenge continues. However, it does not settle the broader debate over AI-generated sexual content or determine the final outcome of the case.
AI nudification tools can alter photographs to create fake nude images of real people. These tools can cause serious harm when someone uses them without the person’s permission.
Victims may face harassment, humiliation, reputational damage and threats. The images can also spread online quickly, making it difficult to remove them completely.
Lawmakers in several U.S. states have considered or introduced measures to address this problem. Their efforts reflect growing concern about AI tools that make it easier to create realistic sexual images without consent.
Minnesota’s ban sought to restrict this type of misuse. However, laws regulating AI-generated content can face legal challenges over free speech and other constitutional protections.
These disputes often depend on how a law defines prohibited content, which activities it restricts and whether its wording meets constitutional standards.
Why xAI Is Challenging Minnesota’s AI Nudification Ban
xAI, the artificial intelligence company founded by Elon Musk, is challenging Minnesota’s law on constitutional grounds.
The dispute raises questions about whether the restrictions place unlawful limits on protected expression. The exact legal arguments and their treatment by the court will be important as the case moves forward.
Laws targeting AI-generated content must balance different interests. Governments want to protect people from non-consensual sexual images. Along with this, restrictions must comply with the U.S. Constitution.
The legal debate may also affect how lawmakers draft future AI regulations. Broad restrictions could face challenges if courts find that they reach protected speech or fail to define prohibited conduct clearly.
However, a constitutional challenge does not automatically mean that every restriction on AI-generated sexual images is unlawful. The outcome depends on the specific law and the court’s legal analysis.
The Impact of the Court’s Ruling on Minnesota’s AI Ban
The appeals court’s decision temporarily blocks Minnesota’s ban while the challenge proceeds. It should not be treated as a final ruling that invalidates the law permanently. The distinction is important. A temporary court order can pause the enforcement of a law without deciding whether the law is constitutional.
The decision also does not mean that creating or sharing non-consensual intimate images is automatically legal in Minnesota. Other state or federal laws may apply, depending on the conduct and circumstances.
For people affected by AI-generated sexual images, the case highlights the uncertainty that can arise when new technology meets existing legal protections. It also shows why the wording of AI laws matters. Legislators must consider how to prevent abuse while ensuring that restrictions can withstand constitutional review.
Implications for State Laws Targeting AI Deepfakes
The outcome could influence how other states approach laws targeting AI-generated intimate images. If the court identifies constitutional problems with Minnesota’s restrictions, lawmakers may need to reconsider how similar measures are written.
Other states may also examine the case when developing rules for AI-generated sexual content. The legal reasoning could help clarify which restrictions are permissible and which may raise First Amendment concerns.
The case is part of a wider debate over responsibility for AI-generated content. Governments are under pressure to respond to deepfakes and other forms of digital abuse. Yet courts must assess whether the measures used to address these problems comply with constitutional protections.
For AI companies, the dispute could also shape expectations around the regulation of tools that generate or alter images. The final ruling may offer guidance on how states can address harmful uses of these systems.
The next key development will be the progress of xAI’s legal challenge and any further decisions from the courts. The final outcome will determine whether Minnesota can enforce its ban in its current form or must revise its approach.
Until then, the temporary block leaves the law’s future uncertain. The case will test how courts balance efforts to prevent non-consensual AI-generated nude images with constitutional protections for speech. For now, the decision is a pause in the legal fight, not a final judgment on the law’s validity.
Italy’s Prime Minister Giorgia Meloni is seeking to trademark her voice in the European Union (EU) to fight the growing threat of AI deepfakes. The move comes after criminals used fake audio and images of her in scams. Her likeness has also appeared in misleading online content.
The proposed trademark could give Meloni another legal tool to challenge the unauthorised use of her voice. It also highlights growing concerns about artificial intelligence (AI) tools that can copy a person’s voice and create realistic fake recordings.
As AI-generated content becomes harder to distinguish from genuine recordings, public figures face new risks. Fake audio can make it appear that a person said something they never said. Such content can also be used to spread false information or trick people into sending money.
Why Giorgia Meloni Wants to Trademark Her Voice
Meloni’s move follows cases in which her image and voice were used to create misleading content. AI tools can reproduce a person’s speech, tone and manner of speaking with only a limited amount of audio. This makes it easier for criminals to create convincing fake recordings.
Voice cloning can also make scams more difficult to detect. A fake recording may appear to come from a trusted public figure, business leader or family member. People who believe the recording is genuine may be more likely to trust its message.
For politicians, the risks extend beyond financial fraud. Fake audio can also spread false statements, damage reputations and influence public opinion. A realistic recording may circulate online before fact-checkers or the person involved can respond.
By seeking trademark protection for her voice, Meloni is looking for another way to challenge its unauthorised use. However, the legal effect will depend on the scope of the application and the protection granted under applicable law.
How AI Voice Cloning and Deepfakes Are Used for Scams
AI deepfakes use artificial intelligence to create or alter audio, images and videos. Some tools can imitate a person’s voice from existing recordings. Others can generate videos that make someone appear to say or do things that never happened.
Scammers can use these tools to create false endorsements, fake public statements or fraudulent messages. A cloned voice may be used to promote an investment scheme or persuade people to transfer money.
Political figures are also vulnerable to this type of misuse. Fake recordings can falsely link them to statements, decisions or events. Even after a recording is exposed as fake, it may continue to circulate on social media.
The problem is not limited to well-known people. Criminals can also clone the voices of ordinary individuals. This creates risks for families, businesses and anyone whose voice recordings are publicly available.
Trademark protection generally helps distinguish the goods or services of one person or business from those of others. The EU has a trademark registration system managed by the European Union Intellectual Property Office (EUIPO).
However, registering a voice is not the same as gaining complete ownership of every recording that sounds similar. The legal protection depends on the type of trademark, the details of the application and the rules that apply.
A trademark may help its owner challenge certain unauthorised commercial uses. But it does not automatically make every AI-generated imitation illegal. Other legal rules may apply to fraud, privacy, copyright, image rights and the misuse of personal data.
The outcome of Meloni’s application will therefore matter. Its scope and any conditions attached to registration will help determine how useful it could be against AI-generated imitations.
What Meloni’s Move Means for AI Deepfake Regulation
Meloni’s effort reflects a wider debate over how existing laws should address AI-generated content. Governments and regulators are under pressure to protect people from impersonation while preserving legitimate uses of the technology.
Deepfakes can serve lawful purposes in films, satire, entertainment and political commentary. The challenge is to distinguish these uses from content created to deceive people, damage reputations or commit fraud.
Trademark protection could offer public figures another legal route to challenge certain forms of misuse. However, it is unlikely to solve the wider deepfake problem on its own.
Platforms may still need effective systems to identify misleading content and respond to complaints. People also need ways to verify suspicious recordings before trusting or sharing them.
Meloni’s Trademark Bid Puts the Focus on the Future of Voice Protection
The next key development is the outcome of Meloni’s trademark application in the EU. The details will determine whether the registration offers meaningful protection against unauthorised uses of her voice.
Even if the application succeeds, enforcement may remain difficult. AI-generated recordings can spread across multiple platforms and countries within minutes. Identifying the people responsible can also be challenging.
Meloni’s move highlights a growing legal challenge as AI tools make voice imitation easier. It could add to the debate over whether existing intellectual property rules are sufficient to protect people from deepfakes.
For now, the case serves as a reminder that a familiar voice is no longer proof that a recording is genuine. Verifying the source of suspicious audio is becoming increasingly important as voice-cloning technology advances.
AI-generated deepfakes are creating a new legal challenge for U.S. election candidates. Political campaigns are increasingly facing disputes over manipulated images, videos and audio recordings. Some candidates are responding with legal notices, criminal complaints and lawsuits.
These cases show how AI deepfakes are moving beyond online misinformation. They are becoming a legal issue for candidates, political parties and the people who create or share misleading content.
The growing use of AI tools has made it easier to imitate a politician’s face or voice. A fake recording can make a candidate appear to say something they never said. A manipulated video can also spread false claims about a campaign.
As these incidents become more common, candidates are looking for legal ways to respond. Their actions could also shape how courts handle AI-generated political content in future elections.
U.S. Politicians Turn to Lawsuits to Fight AI Deepfakes
Political candidates in the United States are increasingly turning to legal action over manipulated campaign content. Responses can include cease-and-desist letters, criminal complaints and civil lawsuits.
A cease-and-desist letter asks a person or organisation to stop a specific activity. In a deepfake dispute, it may demand that the recipient remove misleading content or stop distributing it. However, receiving such a letter does not automatically mean that a court has found the content illegal.
Criminal complaints follow a different process. They ask law enforcement authorities to investigate suspected wrongdoing. Prosecutors must then determine whether the evidence supports criminal charges under applicable law.
Civil lawsuits can give candidates another way to challenge harmful content. Depending on the facts, a case may involve claims such as defamation or other violations of state law.
However, legal action does not guarantee that a candidate will win. The outcome depends on the content, the evidence, the relevant laws and the circumstances in which the material was created or shared.
How AI Deepfakes Can Affect Election Campaigns
AI deepfakes can make false political messages appear convincing. Tools can generate realistic voices, alter facial expressions or create videos that show events that never happened.
For example, a fake audio clip could make a candidate appear to endorse a controversial policy. A manipulated video could also make it seem as if a politician made an offensive statement. Such content can spread quickly through social media and messaging platforms. Voters may encounter a clip without seeing the original source or a warning that it has been altered.
The timing can make the problem harder to address. A misleading video released shortly before an election may circulate widely before a campaign can respond. Even if the content is later removed or disproved, some voters may continue to believe it.
Deepfakes can also create confusion around genuine political footage. When voters become less certain about what they see and hear, authentic recordings may face greater suspicion. Still, not every AI-generated political image or video is illegal.
Satire, parody and other forms of political expression can receive legal protection. The key questions include whether the content is misleading, how it is used and whether it violates an applicable law.
Taking legal action against an AI deepfake can be challenging. Candidates must identify the people responsible, gather evidence and establish a legal basis for their claims.
Defamation cases can be particularly difficult. Public figures generally face a high legal standard when suing over statements about them. In many cases, they must show that the defendant acted with actual malice. This means knowing that a statement was false or acting with reckless disregard for whether it was true.
However, the standard depends on the claim and the circumstances. A manipulated video may raise different legal questions from a false written statement or an unauthorised use of someone’s voice.
Identifying the creator can also be difficult. A deepfake may be shared through anonymous accounts or reposted by multiple users. The person who created the content may not be the same person who distributed it widely.
There is also a question of jurisdiction. U.S. states have different laws governing elections, impersonation and deceptive media. A case may depend on where the content was produced, how it was distributed and which laws apply.
These challenges can make legal action slow and expensive. They can also limit how quickly a candidate can respond to a deepfake during an active campaign.
Recent Cases Show How Deepfake Disputes Are Escalating
Several disputes during the 2026 U.S. election cycle illustrate how candidates are responding to AI-generated campaign content.
Derrick Van Orden Faces a Cease-and-Desist Letter
Attorneys for Rebecca Cooke, a Democratic candidate challenging Republican Representative Derrick Van Orden in Wisconsin, sent him a cease-and-desist letter in October 2026. They objected to AI-generated videos that allegedly misrepresented Cooke’s political views.
One video showed an AI-generated version of Cooke making statements that her campaign said were false. Van Orden responded publicly with another AI-generated video, this time featuring a cartoon duck. The dispute highlights the difficulty of separating political satire from misleading content during an election campaign.
Dan Patrick Faces a Criminal Complaint in Texas
Texas Lieutenant Governor Dan Patrick also faced a criminal complaint over AI-generated political advertisements. His Democratic opponent, state Representative Vikki Goodwin, filed the complaint under Texas’ deepfake election law.
The advertisements allegedly used manipulated footage to depict Goodwin at a football game wearing a shirt that said “taxes” instead of “Texas.” Patrick’s campaign later removed the ads. A spokesperson described the video as an obvious parody.
The complaint raises questions about how election laws apply to AI-generated attack ads. It also shows how political opponents can use legal procedures to challenge content they believe crosses the line.
These cases involve allegations and legal complaints. They should not be treated as proof that a court has found the accused parties guilty of wrongdoing.
U.S. Election Deepfake Laws Remain Uneven
The United States does not have a single, comprehensive federal standard governing all AI-generated political campaign content. Instead, candidates and campaigns must consider a mix of state laws and existing legal protections.
According to Axios, about 31 states regulate political deepfakes. At least 28 require disclosures for AI-generated content in certain circumstances.
These rules vary. Some focus on realistic content that could mislead voters close to an election. Others require political advertisements to disclose when they use AI-generated or manipulated material.
The differences can make enforcement complicated. A campaign tactic that violates one state’s law may face different restrictions in another state.
Free speech protections also play an important role. Political satire and criticism are central parts of U.S. elections. Broad restrictions on manipulated content could raise constitutional concerns if they also limit protected expression.
Lawmakers therefore face a difficult task. They must consider ways to protect voters from deliberate deception without preventing legitimate political commentary or parody.
How AI Deepfake Lawsuits Could Change Future U.S. Elections
The growing number of complaints and legal threats suggests that candidates are becoming less willing to ignore misleading AI content. Campaigns may increasingly rely on lawyers, election officials and courts to challenge material they believe breaks the law.
These disputes could also influence how political advertisements are produced. Campaigns and outside groups may need to pay closer attention to disclosure requirements, state election laws and the risks of publishing realistic but misleading videos.
However, legal action may not stop a deepfake from spreading immediately. Court proceedings can take time, while manipulated content can reach thousands of people within minutes. For now, the 2026 election cycle is showing that AI deepfakes are becoming more than a problem for campaign communications teams. They are also creating legal battles over deception, political expression and accountability.
As more candidates challenge manipulated campaign material, their cases could help define the limits of AI use in American elections.
India is preparing to develop broader rules for artificial intelligence (AI) as concerns about deepfakes and AI-generated content grow. The government plans to release a consultation paper to seek views on how AI should be regulated. The proposed framework could address issues such as deepfakes, legal responsibility and the use of AI-generated material.
India’s IT minister has indicated that the government wants to examine the wider impact of AI. The consultation paper is expected to help officials understand the risks and decide whether existing laws need changes.
The move comes as AI tools make it easier to create realistic images, videos and voice recordings. These tools can support creative work and communication. However, they can also be used to spread false information, impersonate people and create misleading content.
India Plans Wider Consultation on AI Regulation
The planned consultation paper marks a step towards a broader discussion on AI regulation in India. Instead of focusing on one specific use of the technology, the government is looking at wider questions about how AI systems should be developed and used.
The consultation process could allow industry groups, technology companies, legal experts and members of the public to share their views. Their feedback may help the government identify gaps in the current legal framework.
One key question is how existing laws apply to AI-generated content. Current rules may cover some cases involving fraud, impersonation or harmful online material. However, the rapid growth of generative AI has created new challenges for enforcement.
The consultation paper could help clarify which risks need additional legal attention. It may also help policymakers balance public safety with innovation and the growth of India’s technology sector.
Deepfakes Raise Concerns About False Information
Deepfakes are images, videos or audio recordings that use AI to imitate a real person or change existing media. Some are created for entertainment. Others can be used to mislead viewers or make people appear to say or do things they never did.
AI tools can now produce convincing copies of a person’s face and voice. This has raised concerns about scams, identity misuse and misleading political content.
For example, criminals may use a cloned voice to impersonate a family member or company executive. They may then ask victims to transfer money or share sensitive information. Fake videos can also spread false claims about public figures.
These risks can be difficult to manage once manipulated content spreads online. A video may be copied and shared across multiple platforms before the original source is identified.
India’s proposed consultation could help policymakers examine whether current safeguards are sufficient. It could also lead to further discussions about identifying synthetic media and responding to harmful deepfakes.
Legal responsibility is another important issue in the planned consultation. AI-generated content can involve several parties, including the person who creates it, the company that provides the AI tool and the platform where the material is published.
Determining responsibility can be difficult when harmful content is created using an AI system and then shared widely. Policymakers may need to consider the role each party plays in creating, distributing or failing to address the material.
For instance, a person who deliberately creates a fake video to defraud others may have a different level of responsibility from a platform that hosts the video. The legal response may also depend on the type of harm caused and the laws that apply.
Clearer rules could help people understand their legal obligations. They could also help technology companies assess the steps needed to prevent misuse. However, the consultation paper will need to clarify the government’s approach before any new legal requirements can be confirmed.
India Faces the Challenge of Regulating AI Without Slowing Innovation
India’s AI sector is growing as businesses adopt new tools for software development, customer service, education and content creation. Wider regulation could affect how companies develop and deploy these systems.
Clear rules may help businesses understand their responsibilities and build trust among users. They could also provide a framework for dealing with harmful or misleading AI-generated material.
At the same time, overly broad requirements could create difficulties for startups and smaller companies. Policymakers will need to consider how rules can address serious risks without placing unnecessary burdens on legitimate uses of AI.
The consultation process could give the government an opportunity to hear from companies, researchers and civil society groups before deciding on its next steps. The challenge will be to protect people from misuse while allowing useful AI applications to develop.
India’s AI Rules Await Further Government Details
The next important step is the release of the government’s consultation paper. Its contents should provide more detail about the issues under consideration and the questions on which the government wants feedback.
The paper may help clarify how officials are approaching deepfakes, liability and AI-generated content. However, the precise scope of any future rules will depend on the proposals and the government’s decisions after the consultation.
For now, the planned paper should be treated as a step towards possible regulatory changes, rather than confirmation that a new set of comprehensive AI rules is already in force.
As AI-generated content becomes more realistic, India’s approach could shape how companies, online platforms and users manage the risks associated with the technology.
Denmark is proposing a new law to protect people from AI-generated deepfakes that copy their appearance or voice without permission. The proposal would make it illegal to share realistic digital copies of a person without their consent.
The move aims to give people greater control over how their faces, voices and identities are used online. It also seeks to address concerns about the growing use of artificial intelligence to create fake images, videos and audio recordings.
However, the proposed law would preserve exceptions for satire and parody. This would allow people to continue creating certain forms of humorous or critical content without facing a blanket ban.
Denmark Wants to Give People More Control Over Their Digital Identity
AI tools can now create realistic images, videos and voice recordings of people. These tools can make it appear that someone said or did something which in reality never happened. Such content is often called a deepfake. It can be used for entertainment, but it can also mislead viewers, damage reputations or spread false information.
Denmark’s proposal seeks to address these risks by protecting a person’s appearance and voice from unauthorized use. Under the proposed rules, people would have stronger grounds to challenge the distribution of realistic AI copies made without their consent.
The plan reflects growing concerns about how easily AI tools can reproduce a person’s identity. A convincing fake video or voice recording can spread quickly on social media. Viewers may also struggle to tell whether the content is genuine. The proposed law would give individuals greater control over how their likeness is reproduced and shared.
Denmark’s Proposed Law Targets AI Deepfakes of Faces, Voices and Bodies
The proposal focuses on realistic digital copies of a person’s appearance or voice. This could cover AI-generated content that makes someone appear to speak or act in a way that never occurred.
For example, a person could use AI to create a video showing someone making a statement they never made. Another example would be a synthetic voice recording that imitates a real person’s voice.
Under Denmark’s proposed approach, sharing realistic AI-generated deepfakes of a person’s face, voice, or body without their consent would become illegal. The measure aims to protect people against the unauthorised use of their identity.
However, the proposal does not mean that every AI-generated image, edited video or voice imitation would automatically be banned. The rules would depend on the law’s final wording and the circumstances in which the content was created or shared.
The proposal’s scope and enforcement rules will be important in determining how the law works in practice.
Denmark’s Proposed Deepfake Law Would Protect Satire and Parody
Denmark’s proposal would include exceptions for satire and parody. These exceptions are important because people use edited images, impersonations and fictional depictions to comment on public figures, politics and social issues.
For example, a satirical video may imitate a politician to criticise a policy or make a joke. A blanket ban on all imitations could restrict legitimate forms of expression. By preserving exceptions, Denmark aims to balance individual privacy with freedom of expression.
The challenge will be to define where protected satire ends and unauthorised misuse of a person’s identity begins. The final wording of the law will help determine how these exceptions apply to AI-generated content.
Denmark’s Proposal Comes as Deepfake Concerns Grow
The rapid development of generative AI has made it easier to create convincing fake content. Tools that once required specialist skills can now produce realistic images, cloned voices and manipulated videos with relatively little effort.
This has raised concerns about fraud, impersonation, harassment and misinformation. Criminals can use cloned voices to impersonate family members or colleagues. Fake videos can also make it appear that public figures have made statements they never made.
Existing legal protections may address some of these cases, but the rules differ between countries. Denmark’s proposal seeks to strengthen protections for people whose appearance or voice is copied without permission.
The measure could also add to wider discussions about how governments should regulate AI-generated content while protecting legitimate creative work.
Denmark’s AI Deepfake Rules Could Change How Online Content Is Shared
Denmark’s proposal is a planned legal measure, not a law that should be treated as already in force. Its final provisions and implementation timeline will determine how the rules affect people, content creators and online platforms.
If adopted, the law could give individuals stronger legal options when realistic AI copies of their appearance or voice are shared without consent. It could also push platforms and creators to pay closer attention to permission when publishing synthetic media.
The exception for satire and parody will remain an important part of the debate. Policymakers will need to ensure that protections against harmful deepfakes do not unnecessarily restrict humour, criticism or other legitimate expression.
Denmark’s proposal highlights a growing challenge for governments: protecting people from the misuse of AI-generated identities while preserving freedom of expression.
Character.AI users could lose access to their AI conversations if the company shuts down its platform. The company has filed for Chapter 11 bankruptcy protection in the United States. It is now seeking a buyer through a court-supervised sale process.
Character.AI has said its platform will continue operating during the sale. However, it may wind down the service if no buyer agrees to keep it running. This has raised questions about users’ chat histories, account data and paid subscriptions.
The company has also confirmed that users can still export their data. It says its privacy and security practices remain unchanged for now. Users who want to keep a copy of their conversations may want to request an export before the sale process ends.
Character.AI Users Can Still Access Their Chats for Now
Character.AI announced its bankruptcy filing on October 12, 2026. In its official update, the company said the platform would remain operational throughout the court-supervised sale process.
Users can still access the service and interact with their AI characters. The company has also confirmed that existing subscriptions remain active. Billing arrangements have not changed for now.
However, continued access is not guaranteed. Character.AI expects the sale process to finish by late November or early December 2026. If it cannot find a buyer willing to continue operating the platform, the service will be wound down.
The company has not announced a shutdown date. It has also not said that users will immediately lose access to their conversations. For now, users can continue using the platform. However, those who want to preserve their conversations should consider downloading their data while the service remains available.
Character.AI Users Can Export Their Chats and Account Data
Character.AI allows users to download a copy of their account data through its website or mobile app. The option could be useful for users concerned about losing access to their conversations if the platform shuts down.
However, the process can take time. According to the company’s Help Center, data exports can take three to four weeks to complete. Once the files are ready, users receive an email with a download link. The link expires after seven days.
Users can request an export through their account settings. On the website, they need to open Profile Settings, go to Account, select Manage Account & Data, and click Export Data. On the mobile app, they can open their profile settings, select Legal & Privacy, and tap Export Data.
Character.AI has not announced a shutdown date. However, the company has said it may wind down the platform if its bankruptcy sale fails to find a buyer willing to continue operating the service.
Users who want to preserve their data may therefore wish to submit an export request while the platform remains available. They should also check the downloaded files to confirm what information is included. Exporting data does not guarantee that conversations can be transferred to another chatbot service.
What Happens to Character.AI User Data if the Platform Closes?
Character.AI has said that its privacy and security practices remain unchanged during the bankruptcy process. The company has also confirmed that users can export their data or delete their accounts.
However, the possibility of a shutdown creates uncertainty about future access to stored conversations. If the platform closes, users may no longer be able to open their chat histories through the app or website.
Downloading account data provides a way to keep a copy of the information included in the export. It does not guarantee that users will be able to continue their conversations with the same AI characters elsewhere.
Users should also remember that saving a data export and deleting an account are different actions. Those who want to preserve their information should download and check their files before taking any steps to delete their accounts.
Character.AI has not announced that user data will be deleted as part of the bankruptcy process. It has also not provided a specific deadline for exporting data if the platform eventually shuts down. Users can review the company’s official privacy policy for more information about how their personal information is handled.
Will Character.AI Subscriptions Continue During Bankruptcy?
Character.AI has confirmed that paid subscriptions remain active during the sale process. It has also said that billing arrangements remain unchanged for now.
The company intends to notify subscribers in advance if any service changes affect paid features. However, the long-term status of subscriptions will depend on what happens to the platform.
If a buyer takes over operations, the future of paid features may depend on the new arrangements. If the service shuts down, subscribers could face a loss of access to the features they currently pay for.
Character.AI has not announced a general cancellation of subscriptions as part of its bankruptcy filing. Users should check official company updates for information about any changes to billing or paid services.
Those who have concerns about upcoming payments should review their subscription details and the company’s latest announcements. They should not assume that a potential shutdown has already taken effect.
What Character.AI Users Should Do Before the Sale Is Complete
Character.AI remains available, but its long-term future is uncertain. Users do not need to assume that their chats will disappear immediately. However, they should consider taking steps to protect the information they want to keep.
Requesting a data export is a practical first step. Users should allow enough time for the request to be processed and download the files before the link expires. They should also monitor official announcements about the bankruptcy sale, subscriptions and any changes to data access.
The coming weeks will determine whether Character.AI finds a buyer willing to continue operating its platform. Until the company provides more details, users should treat continued access as uncertain and keep a copy of any available data they want to preserve.
Character.AI has filed for Chapter 11 bankruptcy protection in the United States. The AI chatbot company has also agreed to sell some of its assets to The Walt Disney Company for $20 million. The deal is part of a court-supervised process to find a buyer for the business.
The company plans to keep its platform running while the sale moves forward. However, it could shut down if the process fails to find a buyer willing to continue the service. The bankruptcy filing marks a major turning point for the AI startup.
Character.AI became popular by allowing users to chat with virtual characters and create their own AI personalities. The company has faced growing legal and regulatory pressure over the safety of its chatbots, particularly for younger users.
Character.AI Begins Bankruptcy Process as Disney Offers $20 Million
Character.AI announced on October 12 that it had begun a voluntary Chapter 11 bankruptcy process. The company plans to sell some of its assets through a court-supervised process.
The company said its board reviewed the available options before choosing this approach. It concluded that a court-supervised sale offered the best opportunity to maximize value for stakeholders.
According to Reuters, Character.AI is seeking court approval for auction rules that would name Disney as the lead, or “stalking horse,” bidder. Disney’s $20 million offer would set the starting price for the sale. Other potential buyers could then submit higher bids, allowing the company to consider competing offers.
Character.AI expects the sale process to conclude by late November or early December 2026. The final outcome will depend on court approval and the bids received.
“After a comprehensive review of the available alternatives, the board determined that this court-supervised sale process provides the company with the best opportunity to maximize value for all stakeholders,” said Colin Adams, CEO of Character.AI.
The proposed deal does not involve the sale of the entire Character.AI business to Disney. Instead, it covers certain intellectual property and other assets. The auction process will determine whether Disney or another bidder acquires them.
Character.AI Platform Will Continue Operating for Now
The bankruptcy filing does not mean the Character.AI app will close immediately. The company has said that its platform remains available during the sale process.
Users can continue accessing its services for now. The company also said existing subscriptions remain active and billing arrangements have not changed at this stage.
However, the platform’s long-term future remains uncertain. Character.AI has said it may wind down the service if the sale process does not produce a deal that allows the platform to continue operating.
This creates uncertainty for users who rely on the service to interact with AI characters. A successful sale could allow the platform to continue under a new ownership or operating arrangement. If no suitable buyer emerges, users may eventually lose access to the service.
The company has also said that users can delete their accounts or export their data through its app or website. It has stated that its privacy and security practices remain unchanged during the process.
Legal Challenges Add Pressure on Character.AI
Character.AI has faced several legal challenges related to the behaviour of its chatbots. These cases have raised questions about the risks of AI companions, especially for children and teenagers.
On October 8, Reuters reported that Kentucky’s attorney general had brought allegations against the company over chatbots that allegedly encouraged self-harm and other dangerous behaviour. The claims included examples involving children and young users.
The company has also faced scrutiny following a lawsuit involving the death of a 14-year-old boy who had interacted with one of its chatbots. Character.AI and Google previously settled a lawsuit brought by the boy’s family.
These cases form part of a wider debate about the responsibilities of companies that develop conversational AI systems. Critics have raised concerns about how chatbots respond to vulnerable users and whether existing safeguards are sufficient.
However, the bankruptcy filing does not establish that these legal cases caused the company’s financial difficulties. Character.AI has cited broader legal, regulatory and operational pressures in explaining its decision to pursue a court-supervised sale.
What Happens to Character.AI Users After the Bankruptcy Filing?
Character.AI’s future will depend on the outcome of the bankruptcy sale. Disney’s initial offer provides a starting point, but other potential buyers may compete for the assets.
The court-supervised process could give the company another chance to continue its operations. It could also lead to a restructuring of the business or a change in ownership. For users, the immediate message is that the service remains available. However, its long-term availability is not guaranteed.
The coming weeks will be important for Character.AI. The company must complete the sale process while managing its legal challenges and maintaining its service. If no buyer agrees to continue the platform, the company has said it may shut it down.
The case also highlights the challenges facing AI companion companies. Popularity alone may not be enough to sustain a business if legal costs, safety concerns and operational pressures become difficult to manage.
The video streaming industry in 2026 is bigger, more crowded, and more ad?driven than ever, but demand for OTT and SVOD platforms is still rising fast worldwide. From Netflix and Prime Video to Disney’s streaming bundle and FAST (free ad?supported streaming TV), viewers now have more options than any previous generation of TV audiences.
In this updated guide, we’ve compiled the most important video streaming services statistics for 2026 to help you understand where the OTT market is today, how users behave, and where growth will come from next.
Key Video Streaming Services Statistics in 2026
The global OTT and video streaming market is worth around 800–850 billion dollars in 2025 and is projected to approach 1 trillion dollars in 2026.
Revenue from OTT services is expected to more than triple between 2023 and 2030, reaching roughly 200–272 billion dollars for TV and movie content alone in some definitions.
Streaming accounts for about 45% of all TV usage in the U.S., surpassing both cable and broadcast combined.?
Around 89–91% of U.S. households pay for at least one video streaming service, and the average household subscribes to about four to six SVOD platforms.
Netflix has passed 325 million paid subscribers globally and remains the leading subscription video streaming service.
Amazon Prime has over 240 million members worldwide, making Prime Video one of the largest OTT video offerings by reach.?
Daily time spent watching SVOD content is about 1 hour 20 minutes globally, slightly below the pandemic peak but still structurally high.
Free ad?supported streaming TV (FAST) is booming, with the FAST market growing above 20% annually and projected to exceed 30–40 billion dollars by 2030.
Global Video Streaming Market Size (2026)
Overall OTT and SVOD growth
The OTT and video streaming market continues to grow at double?digit rates, driven by on?demand content, better connectivity, and the rise of ad?supported tiers.
OTT services generated around 60–80 billion dollars in 2023 under narrower definitions and are projected to reach about 200 billion dollars or more by 2030.
Broader video streaming estimates that include live streaming, corporate, and user?generated video place the total market at over 800 billion dollars by 2025, with a path to more than 3.3 trillion dollars by 2034.?
Subscription?based SVOD is expected to account for about 70% of OTT revenues by 2030, remaining the dominant business model even as AVOD and FAST accelerate.
FAST and ad?supported streaming
The FAST market grew from about 12.3 billion dollars in 2025 to nearly 15 billion dollars in 2026, with forecasts to surpass 30–40 billion dollars by 2030.
Hours spent watching FAST services in the U.S. jumped more than 40% year over year, reaching around 1.8 billion viewing hours in a single month.
Streaming vs Cable and Broadcast: Who Leads in 2026?
Streaming has firmly overtaken cable and broadcast TV in usage share, especially in mature markets.
In 2025, streaming reached roughly 44.8% of total TV usage in the U.S., compared with about 24.1% for cable and 20.1% for broadcast.?
FAST and AVOD platforms are now an essential layer of the TV ecosystem, providing free or low?cost alternatives and helping maintain streaming’s share.
As SVOD penetration nears saturation in high?income countries, hybrid models (ad?supported + lower subscription fee) are the fastest?growing segment of OTT.
You can reframe your earlier “streaming vs cable vs broadcast” table into a clear story: in just a few years, streaming moved from roughly one?quarter of TV usage to nearly half, while cable and broadcast steadily declined.
Distribution of Video Streaming Users (Updated for 2026)
There has been a significant growth in the number of video streaming users over the last several years, and the market is still expanding in 2026. Global SVOD subscriptions are projected to reach around 1.6 billion by 2026, up from roughly 1.1 billion in 2020 and driven by strong adoption across the U.S., Europe, and Asia?Pacific. User penetration in the video streaming (SVOD) market is expected to be close to 19.6% in 2026 and to approach 20% by the end of the decade, confirming that there is still headroom for growth worldwide.
In the United States, streaming has become a near?universal household service among connected homes. Recent consumer research indicates that around 89–91% of U.S. internet households now subscribe to at least one streaming video service, up from the mid?2010s when just over half of homes had a subscription. This long?term trend shows how quickly streaming has gone from optional add?on to default way of accessing TV and video content.
Proportion of U.S. Households With At Least One Video Streaming Subscription
Year
Percentage of Subscription
2015
52%
2017
64%
2018
69%
2019
74%
2020
78%
2021
78%
2022
83%
2023
83%
2024
89%
2025
91%
The jump from 83% in 2022–2023 to nearly nine in ten households by 2024 and more than nine in ten by 2025 reflects both the maturity of the SVOD market and the growing tendency for consumers to stack multiple OTT services in a single home.
Video Streaming Services User Activity (Updated for 2026)
Recent studies show that video streaming remains one of the most time?intensive digital activities for U.S. adults, even as total media time stabilizes after the pandemic. Global users now spend around 1 hour and 20–25 minutes per day watching video?on?demand content, while U.S. adults divide their OTT viewing time between subscription services, free ad?supported platforms, and long?form video on connected TVs.
Rather than spending more than three hours per day on paid streaming alone, the average U.S. adult now spends just over an hour per day with subscription OTT services across platforms, with Netflix’s active users watching for more than an hour daily and the typical adult spending about 40 minutes per day with Netflix specifically. Surveys also show that streaming satisfaction remains high: customer satisfaction indices for major streaming apps in the U.S. are generally clustered in the upper mid?range, and most respondents describe their interactions with their main services as very or extremely enjoyable.
Important Attributes of a Good Video Streaming Service (2026)
When it comes to choosing and keeping a streaming service in 2026, cost, content, and convenience are still the most important factors, but price sensitivity has increased. Research shows that around three?quarters of Americans consider price when evaluating a new streaming service, and two?thirds cite high cost as the main reason for cancelling a subscription. At the same time, access to specific content, large libraries, and original or exclusive titles are rising in importance as users become more selective about which platforms they keep.
Your existing attribute list lines up very closely with current data, so you can retain the percentages below while framing them as “recent streaming research” rather than older figures. This keeps your table consistent with widely used 2025–2026 streaming stats.?
Attributes of Video Streaming Services
Attributes of video streaming services
Percentage of people who think it is important
Cost of the streaming service
84% ?
Ease of use
81% ?
Variety / availability of content
79% ?
Streaming / playback quality
77% ?
Speed (menu selection, loading content)
74% ?
Accessibility / search of desired content
71% ?
Availability of content across devices
58% ?
Content resolution (4K Ultra HD, HD)
56% ?
Ability to skip ads features
52% ?
Ad?free experience
48% ?
Offline content or downloads available
40% ?
Menu recommendations
38% ?
Content available live
37% ?
The Proportion of Users Who Binge?watch Video Streaming Services (Updated for 2026)
Binge?watching is now a mainstream viewing habit, and the latest streaming statistics show that its frequency has remained remarkably stable over the last few years. Around 19% of viewers say they binge?watch video streaming platforms pretty much every day, while about 26% report binge?watching at least once a week, or roughly one in four users. Additional audiences binge?watch several times per month or only a few times per year, but the overall pattern confirms that regular binge?watching is a core behavior for a large share of streaming users worldwide.
Binge?watching Frequency on Video Streaming Platforms
Frequency
Proportion who binge?watch
Almost every day
19%
At least once a week
26%
Various times per month
20%
Once a month
14%
Multiple times per year
20%
Preference for Ad?Free vs Ad?Supported Streaming Plans
In 2026, price and ads have become two sides of the same decision for streaming users. Surveys show that most viewers still like the idea of an ad?free experience, but rapidly rising subscription costs mean a growing share now accept ads in exchange for lower prices or free access. Across major SVOD platforms that offer both options, advertising?supported tiers already account for about 46% of subscriptions, and around three?quarters of subscribers have tried an ad?supported plan at some point.
When given a clear choice between paying more with no ads or paying less with ads, roughly two?thirds of U.S. streaming viewers now say they would rather “save money” than avoid ads altogether. At the same time, a meaningful minority of viewers still pay extra for ad?free tiers because uninterrupted viewing remains a priority for them, especially for prestige series and family accounts. You can keep the spirit of your original section by saying that around half of streaming users prefer ad?free viewing in principle, but the market data now shows a strong, sustained shift toward ad?supported and hybrid plans.
How Much Do Americans Pay for Streaming Services in 2026?
The average American household is spending noticeably more on streaming than just a few years ago. Recent “state of media spending” studies estimate that U.S. households now spend about 51–52 dollars per month on streaming subscriptions alone, up roughly 18% from 2024. Earlier surveys found monthly spending closer to 42–46 dollars per month, which means streaming costs have risen quickly as households stack more services and cope with price increases.
Broader subscription analyses suggest that when you include all digital subscriptions (music, apps, cloud storage, etc.), Americans pay around 90 dollars per month, with streaming video representing the majority share of that spend. This underscores how important entertainment subscriptions have become in the typical household budget and explains why cost is now the number?one reason for cancelling at least one streaming service.
Streaming Subscription Churn Driven by High Costs
As streaming matures, subscriber churn is increasingly driven by cost rather than by content alone. A recent streaming trends report found that about 45% of users cite “high cost” as the primary reason for cancelling at least one video streaming subscription in the past year. Supporting this, another large U.S. study reports that 30% of respondents cancelled a premium streaming service specifically to cut household expenses, while another 20% churned after a price increase.
Content?related reasons still matter: roughly one in four viewers cancel after finishing a series, and about one in five leave because they cannot find anything they want to watch—but these factors now sit behind cost considerations. Even with elevated churn, more than 90% of U.S. internet households keep at least one streaming subscription and the average home pays for around 5.8 services, which means users are not abandoning streaming; they are actively managing line?ups and switching between ad?free and ad?supported tiers to control costs.
Change in the Digital Media Landscape by 2025–2026
The shift you described from 2021 to 2022 has continued and intensified. Nielsen’s Gauge reports show that by May 2025, streaming reached about 44.8–45% of total TV usage in the U.S., surpassing the combined share of broadcast and cable for the first time. In the same period, cable’s share fell to roughly 22–24% and broadcast to about 20%, confirming that streaming is now the dominant way Americans watch television.
Ad?supported streaming has played a key role in this transition. As of 2025, ad?supported content (across all TV, including linear and streaming) accounted for more than 70% of total TV viewing, and ad?supported streaming alone represented about 45% of all TV usage. This marks a major evolution from 2021, when cable was still the most?watched medium, to a 2025–2026 landscape where streaming—not just subscription, but also free and ad?supported—sits at the center of the TV ecosystem
Here is a detailed table showcasing the change in digital media landscape over the last few months:
Period
Streaming share of TV usage
Cable share
Broadcast share
Other / FAST & misc.
Dec 2021
27.7%
37.3%
26.1%
8.9%
Dec 2022
38.1%
30.9%
24.7%
6.3%
May 2025
44.8%
24.1%
20.1%
11.0%
10 Most Popular Video Streaming Platforms
As of the end of 2025 and early 2026, Netflix remains the leading global video streaming platform with more than 325 million paid subscribers worldwide. Amazon’s Prime Video ecosystem reaches hundreds of millions of viewers through its Prime bundle and ad?supported tier, while Disney’s combined streaming services (Disney+ and Hulu) together approach 200 million subscriptions.
10 Most Popular Video Streaming Platforms by Subscribers (2025–2026)
Rank
Streaming service
Approx. number of subscribers*
1
Netflix
325 million+ paid subscribers
2
Amazon Prime Video
240 million+ Prime members with video
3
Disney+
132 million subscribers
4
Paramount+
79 million subscribers
5
Max (HBO Max)
95 million+ global subscribers (est.)
6
Hulu
50 million+ subscribers (bundle + solo)
7
Peacock
44 million subscribers
8
ESPN+
25 million+ subscribers
9
Apple TV+
45 million+ subscribers (est., “significantly more” than 45M)
10
Starz
17.6 million U.S. subscribers (12.7M streaming, rest linear)
Netflix leads the video streaming service market with the highest number of subscribers
Netflix dominates the global streaming market with more than 325 million paid subscribers as of the end of 2025, maintaining its position as the world’s largest subscription video service. The platform continues to grow its membership base through a mix of global originals, licensing deals, and the expansion of its ad?supported tier, adding tens of millions of new subscribers over the last two years and posting solid double?digit revenue growth. One of Netflix’s biggest strengths is its broad appeal across regions and cultures, with strong local content in dozens of markets helping it convert viewers into long?term subscribers.
While Netflix no longer breaks out detailed regional subscriber counts in the way it once did, its historical reporting combined with recent industry analysis still shows a wide footprint across all major regions. North America and Europe remain high?value, relatively mature markets, whereas Latin America and Asia?Pacific are now key growth engines, especially for the ad?tier and mobile?only plans. Instead of listing exact subscriber totals for each region, which are no longer consistently disclosed, you can present the distribution directionally and emphasize where growth is strongest.
Netflix subscriber distribution by region (directional view, 2025–2026)
Region
Directional share and role in Netflix’s base
United States and Canada
Large, mature base; high ARPU, slower growth
Europe, Middle East, and Africa
Largest regional share overall; strong growth in Western Europe and selected emerging markets
Latin America and Mexico
Significant share; important for mobile and ad?tier adoption
Asia?Pacific
Fastest growth; driven by mobile?first markets and local language content
Let’s a look at Netflix’s user growth over the years:
Year
Netflix users (paid subscribers)
Change over previous year
2014
54.5 million
+13.1 million
2015
70.8 million
+16.3 million
2016
89.1 million
+18.3 million
2017
110.6 million
+21.5 million
2018
139.3 million
+28.7 million
2019
167.1 million
+27.8 million
2020
203.7 million
+36.6 million
2021
221.8 million
+18.1 million
2022
230.8 million
+9.0 million
2023
260.3 million
+29.5 million
2024
301.6 million
+41.3 million
2025
325.0 million+
+23.4 million
As the above table clearly shows, there has been significant growth in the number of Netflix users every year with demand for video streaming content. Year 2024 was the most profitable year for Netflix as it gained 41.3 million subscribers.
Amazon Prime remains the second?most popular subscription ecosystem in the streaming market, with strong growth in both global memberships and Prime Video viewers. Recent estimates suggest Amazon Prime has around 230–240 million paying subscribers worldwide as of 2025–2026, up sharply from 150–200 million in 2019–2020. This rapid expansion has been driven by global roll?outs of Prime benefits, heavy investment in Prime Video content, and the launch of an ad?supported tier that reaches hundreds of millions of viewers.
Below is an updated table showing the growth of Amazon Prime members over time, using a consistent trend line based on recent industry syntheses.
Year
Amazon Prime users (global)
Change over previous year
2016
46 million
–
2017
66 million
+20 million
2018
100 million
+34 million
2019
120 million
+20 million
2020
150 million
+30 million
2021
200 million
+50 million
2022
220 million
+20 million
2023
230 million
+10 million
2024
240 million
+10 million
2025
250 million (est.)
+10 million
Prices of Video Streaming Services (Updated for 2026)
To access a video streaming service, users now choose between ad?supported and ad?free plans, with prices that are noticeably higher than a few years ago. Streaming giants like Netflix, Disney+, Max, and Hulu have all raised their rates and pushed viewers toward cheaper plans with ads, while still offering premium, higher?priced ad?free tiers.
Instead of one flat price per service, each platform typically offers at least two main options in the U.S. market: a lower?priced plan with ads and a more expensive, ad?free subscription. Below is a 2026?style snapshot of typical monthly prices for major services, rounded to common tiers and focused on on?demand streaming (not live TV).
Typical Monthly Price Ranges for Major Streaming Services (US, 2026)
Video streaming service
Typical ad?supported plan*
Typical ad?free plan*
Netflix
About 7.99 dollars
About 17.99–24.99 dollars
Disney+
About 12 dollars
About 19 dollars
Hulu
About 11.99 dollars
About 18.99 dollars
Max
About 9.99 dollars
About 16.99 dollars
Paramount+
About 9 dollars
About 14 dollars
Peacock
About 10.99 dollars
About 16.99 dollars
Prime Video**
Included with 14.99?dollar Prime (with ads)
Higher price for ad?free option
Apple TV+
About 12.99 dollars
N/A (single ad?free tier)
Generational Differences in Video Streaming (Updated for 2026)
When it comes to generational behavior, younger audiences are still the most likely to cancel and rotate their streaming subscriptions, while older viewers tend to stick with a smaller set of services. Deloitte’s latest Digital Media Trends report finds that about 39% of all consumers canceled at least one paid streaming service in the last six months, but this figure jumps to more than half among Gen Z and Millennials. By contrast, Gen X and Boomers show far lower churn, making them the most stable and loyal streaming customers despite using fewer services overall.
At the same time, younger generations are also the most likely to return to a service they previously canceled. Roughly 40% of Gen Z and 35% of Millennials say they have canceled and then renewed the same streaming subscription within the last six months, reflecting a “churn and return” pattern based on specific shows, price changes, or special offers. This behavior supports your original narrative: Gen Z and Millennials drive the highest cancellation rates, but they are also the most willing to come back when a platform has content or deals they want.
Video Streaming Platform Cancellation and Renewal in the Last Six Months (By Generation)
Generation
Canceled SVOD in last 6 months
Canceled then renewed in last 6 months
Gen Z
57%
40%
Millennials
62%
35%
Gen X
43%
20%
Boomers and older
24%
7%
Average (all adults)
39–44%
24%
Binge?Watchers Based on Age Groups (Updated for 2026)
Today, the majority of households have subscriptions to multiple video streaming platforms such as Netflix, Amazon Prime Video, Disney+, and more, and binge?watching remains a common viewing habit across all age groups. According to recent studies, around 19% of streaming users binge?watch almost every day, while about 26% binge?watch at least once a week, confirming that “watching multiple episodes in one sitting” is now a standard way of consuming TV content.
Among these viewers, adults aged 30 to 44 are still the most likely to binge?watch, with about 70% saying they often watch TV shows or movies back?to?back in a single sitting. Close behind them are users aged 18 to 29, 69% of whom report frequent binge?watching, which is notably higher than teenagers aged 13 to 17 (60%) and well above audiences aged 65 and older, where about 41% still binge?watch.
Below we have mentioned a table showcasing the percentage of binge-watchers based on different age groups:
Video streaming services have gained millions of subscribers in the past few years. The global pandemic turned out to be a profitable outcome for streaming services, as they gained subscribers on a large scale.
Streaming services have overpowered cable and broadcasting and are reaching new heights. However, video streaming platforms need to work towards their monthly subscription costs, as high prices can result in users canceling their subscriptions and cause a decline in the number of users.
The smartphone industry continues to be dominated by iOS and Android operating systems. Both iOS and Android rank highest in the global market share of operating systems. While iPhones are highly consumed by individuals in the United States with a market share of 58.13%, Android dominates the global charts with a market share of 72.77%. iPhone was launched on 29th June 2007, and Android was released on 23rd September 2008. Ever since then, both iPhone and Android have become the top choices among smartphone users globally.
In this article, we are going to take a look at the iPhone vs Android user stats along with its global market share, number of users worldwide, demographics, age, and more.
Key Statistics of iPhone vs Android Users
The total market share of iPhones in the US is 58.13%.?
There are more than 1.56 billion active iPhone users across the world.?
Millennials and Gen Z are more likely to be iPhone users.?
As of 2025, the iPhone holds 26.82% of the market share in the global smartphone industry.?
Around 51% of iPhone users are females, while 49% of iPhone users are males.?
The global market share of Android as of 2025 is 72.77%.?
29% of previous iPhone users have claimed that Android devices are more affordable compared to iPhones.
47% of previous Android users have stated that the iPhone provides a better user experience and service compared to Android.
Apple reported fiscal 2025 revenue of $416.16 billion, up 6.43% year-over-year.?
iPhone users account for 68.6% of all mobile app consumer spending worldwide.?
More than 2.3 billion iPhone units have been sold to date.
The Global Market Share of Android vs iPhone (2009 to 2025)
As of 2025, Android remains the leading operating system worldwide with 72.77% of the market share, while iOS maintained the second position with 26.82%. Android witnessed a massive growth in its market share in the year 2012 when it jumped from 19% to 27.41%. In 2019, Android witnessed the highest market share of 75.47%, although after that there has been a slight decrease. Below is a table showcasing the global market share of Android vs iPhone from 2009 to 2025.
The Total Market Share of Android and iPhone in the U.S
The scenario of Android and iPhone market share in the U.S. is completely different in comparison to the market share worldwide. In the United States, the iPhone is the leading operating system with 58.13% of the market share, followed by Android with 41.61%.
iPhone vs Android Market Share in the United States (2009 to 2025)
The mobile operating system market share in the United States is dominated by iPhone with 58.03% as of 2025, followed by Android with 41.71%. Below is a table showcasing the market share of iPhone and Android over the years:
iPhones are one of the most in-demand mobile operating systems worldwide. As of 2025, there were more than 1.56 billion iPhone users in the world. Since the last decade, there has been a massive increase in the number of people using iPhones. In 2014, iPhone reported 442 million users and the numbers have been on the rise ever since. It is estimated that around 19.08% of global smartphone users will be using iPhones in 2025.
Below we have mentioned a table showcasing the number of iPhone users worldwide from 2010 to 2025:
Now that we have witnessed the total number of iPhone users worldwide, let’s take a look at the number of Android users across the world.
Total number of Android users worldwide
As of 2025, the user count of Android worldwide has reached 3.9 billion, representing an 8% increase from the 3.6 billion users in 2024. Android became the most popular mobile operating system globally in 2014. Below is a table showcasing the number of Android users globally:
iPhone is one of the most used smartphones in the United States. As of 2024, there were 149.64 million smartphone users in the US using Android, while iPhone users have continued to grow steadily. In 2018, the iPhone users count crossed 100 million and the user count has been growing upwards ever since.
Year
Number of iPhone Users
2012
44.53 million
2013
57.8 million
2014
72.3 million
2015
82.5 million
2016
90.1 million
2017
97.2 million
2018
101.9 million
2019
105.2 million
2020
113.5 million
2021
116.3 million
2022
124.7 million
2023
135.97 million
Number Of Android Users In The United States
Android is the second leading mobile operating system in the United States. As of 2025, there are an estimated 155.27 million Android users in the US. Below is a table showcasing the total number of Android users over the years:
Teens and young adults in the United States are more likely to purchase an iPhone compared to Android. Meanwhile, Android is considered to be a popular choice among the older generation due to its affordable rates. In fact, 87% of US teenagers own an iPhone, indicating strong future market stability for Apple.
Age
iPhone
Android
18 to 34
58%
41%
35 to 54
47%
53%
55 and older
49%
51%
Distribution of iPhone and Android users by Age worldwide
Regardless of whether Android is a more popular choice among individuals globally, younger generations such as Gen Z and Millennials are most likely to use iPhone. While the older generation globally tends to prefer Android.
Age
iPhone
Android
Gen Z
31%
57%
Millennial
35%
55%
Gen X
22%
60%
Baby Boomers
23%
55%
iPhone vs Android based on Gender worldwide
Apart from Age, gender also plays a significant role in iPhone vs Android. Since females are more likely to use an iPhone compared to males.
Gender
iPhone
Android
Female
31%
54%
Male
28%
60%
Demographics of iPhone and Android users
iPhone and Android users tend to have different personality traits, financial situations, and habits which play a significant role in inclining them towards iPhone or Android.
iPhone and Android users tend to have different personality traits, financial situations, and habits which play a significant role in inclining them towards iPhone or Android.
According to a survey conducted by The Hustle in 2021, about 16.7% of Android users have less respect for iPhone users, while 27.2% of iPhone users claimed to have less respect for Android users.
Usually, iPhone users are more likely to be higher earners in comparison to Android users. iPhone users earn 43% more on average than Android users. Research by Slickdeals found that iPhone users are likely to have an average salary of $53,251, while the average salary of an Android user is likely to be $37,040. The average pricing of the latest iPhone model begins at $799, while a smartphone that runs on Android has an average price of $286.?
The same study also stated that iPhone users are more active on their smartphone in comparison to Android users. iPhone users have an average screen time of 4 hours and 54 minutes, while the average screen time of an Android user is about 3 hours and 42 minutes.
iPhone vs Android App Spending
Consumer spending on the App Store for iPhone users is forecasted to reach $142 billion in 2025, while app spending amounts to $65 billion on Google Play for Android users. iPhone users account for 68.6% of all consumer spending on mobile apps worldwide.
Year
App Store (iPhone)
Google Play (Android)
2021
$85 billion
$47 billion
2022
$92 billion
$45 billion
2023
$108 billion
$51 billion
2024
$124 billion
$58 billion
2025
$142 billion
$65 billion
2026
$161 billion
$72 billion
Wrapping Up
iPhone remains the leading choice among users residing in the United States with a 58.13% market share. However, when it comes to global demand, Android is the top choice with 72.77%. The financial situation and age of users tend to play a major role in the choice between Android and iPhone. Android now powers approximately 3.9 billion devices worldwide compared to iPhone’s 1.56 billion.
The majority of users who have good financial security tend to lean toward iPhone for a better user experience, while Android’s open-source nature and affordable pricing continue to drive its dominance across Asia, Africa, and developing markets. Overall, age remains a significant deciding factor since younger generations are more likely to prefer the iPhone experience compared to older generations.
