Whats the Big Data

E-commerce in 2025 is growing at an unprecedented rate, driven by emerging technologies, shifting customer behaviors, and the increasing popularity of mobile shopping. Globally, online sales are reaching record highs, with the U.S. playing a major role in trends like AR shopping, sustainable products, and subscription services. In this article, we will examine e-commerce statistics for 2025, encompassing both global trends and U.S. market data.

How Many People Shop Online?

As of 2025, 2.77 billion people shop online worldwide, representing approximately 33% of the global population. This represents a 2.2% increase compared to the previous year, highlighting the steady rise of E-commerce.

The number of online shoppers is projected to reach 2.86 billion in 2026, driven by growing internet penetration and the convenience of digital shopping. China leads the global online shopping market with 904.6 million shoppers, followed by the United States, which has 288.45 million online buyers.

Global E-Commerce Sales Forecast

Global eCommerce sales are projected to reach $6.86 trillion in 2025, marking an 8.37% increase from 2024. The sector is expected to maintain strong growth, with a CAGR of 7.8% from 2025 to 2027, reaching nearly $8 trillion by 2027. This growth rate is more than twice that of traditional physical retail, highlighting E-Commerce as an increasingly profitable and strategic channel for businesses worldwide. Over the past few years, eCommerce sales have steadily risen from $4.98 trillion in 2021 to $6.86 trillion in 2025, demonstrating consistent global adoption and expansion.

E-commerce retail sales CAGR 2025-2030, by Country

Between 2025 and 2030, India is set to lead global e-commerce growth, with a projected CAGR of 11.77%, making it the fastest-growing market among the top 20 worldwide. Valued at $125 billion, India is followed by Japan (9.67%) and Indonesia (7.75%) in terms of rapid growth. Other notable markets include Turkey (7.47%) and China (7.41%), with a worldwide average CAGR of 6.29%. In contrast, mature markets like the United Kingdom and the Netherlands are expected to grow more modestly at around 3.93%.

Rising Share of Online Retail Purchases

In 2025, 21% of all retail purchases are expected to take place online, marking the highest share to date. This figure is projected to grow to 22.6% by 2027, reflecting a steady annual increase of about 0.32% since 2021. The rise in online retail transactions underscores the increasing importance of a robust digital presence for businesses seeking to remain competitive in the evolving retail landscape. Over the past few years, the share of online purchases has steadily climbed from 18.8% in 2021 to 20.1% in 2024, underscoring the ongoing shift towards e-commerce.

Growing Preference for Brand Websites

Approximately 15% of global online shoppers now prefer purchasing directly from trusted brand websites. In several countries, direct-to-consumer (D2C) shopping has surpassed marketplaces as the primary choice, including Australia (23%), France (22%), and Colombia (20%).

Online Channels Dominate the Shopping Journey

According to recent data, 44% of shoppers begin their shopping journey on search engines, while 41% start directly on online stores, such as Amazon or a brand’s website. 

Additionally, 83% of consumers conduct online research before visiting physical stores, highlighting the importance of digital touchpoints. Social media platforms serve as the starting point for 14% of shoppers, reflecting their growing role in influencing purchase decisions.

Mobile E-Commerce Sales 2025

Mobile eCommerce, or mCommerce, is set to reach $2.51 trillion in sales in 2025, marking a significant 21.3% growth over 2024’s $2.07 trillion. This surge outpaces the average annual growth rate of 15.3% projected from 2018 to 2027, highlighting the rapid adoption of mobile shopping.

The market has seen remarkable growth over the past years, from $500 billion in 2017 to $2.07 trillion in 2024, and is expected to continue its upward trajectory, reaching $3.44 trillion by 2027. This consistent expansion underscores the increasing preference of consumers for mobile devices as a primary platform for online purchases, driven by convenience, improved payment solutions, and mobile-optimized shopping experiences.

Global B2B E-Commerce Market Size 

The global B2B e-commerce market has experienced remarkable growth over the past few years, reaching a valuation of $32.11 trillion in 2025. Since 2019, the market has nearly doubled in size, growing from $13.29 trillion to $32.11 trillion, representing an increase of approximately 116%. It is projected to expand further at a CAGR of 14.5%, reaching $36.16 trillion by 2026.

Global E-commerce Spending by Category in 2025

In 2025, consumer electronics are expected to lead e-commerce spending with $922.5 billion, followed by fashion at $760 billion and food and beverages at $708.8 billion. Other notable categories include DIY and hardware items ($220.2 billion), furniture ($220.1 billion), media ($193.9 billion), and beauty and personal care ($169.6 billion), reflecting the diverse interests driving online shopping worldwide.

Top Retail E-commerce Market Share in the U.S. in 2025

In 2025, Amazon dominates the U.S. retail e-commerce market with a 37.6% share, making it the clear leader. Walmart follows in second place with 6.4%, while other key players include Apple (3.6%), eBay (3%), and Target (1.9%).

Most Popular Online Shopping Categories

In 2025, consumer electronics are expected to be the most popular online shopping category, with an estimated spending of $922.5 billion, followed closely by fashion at $760 billion. Food and beverages also show strong online demand, reaching $708.8 billion in spending. 

Other notable categories include DIY and hardware items ($220.2 billion), furniture ($220.1 billion), media ($193.9 billion), and beauty and personal care ($169.6 billion), reflecting a diverse range of products driving global eCommerce growth.

Ad Spending Trends of Top U.S. E-Commerce Companies in 2025

In the U.S., top eCommerce players collectively spent $3.5 billion on advertising last year, with spending varying dramatically across companies. Amazon led the pack, investing a massive $1.7 billion, more than four times Walmart’s ad spend of $414.6 million. Target followed with $603.9 million, while Home Depot spent $166.3 million. 

At the lower end, Aliexpress spent just $322,000, about 5,000 times less than Amazon, reflecting its stronger presence outside the U.S. Despite minimal advertising, Aliexpress has seen notable growth in U.S. website traffic. Other players, such as eBay, which ranks third in traffic, spent $112.5 million, less than Home Depot and Target, indicating that high ad spending doesn’t always correlate with traffic. Brand recognition remains a key factor.

Rising Global Preference for Direct-to-Consumer Shopping

Approximately 34% of shoppers make online purchases at least once a week, and this number increases to 82% for those who make monthly purchases. The COVID-19 pandemic accelerated this habit, and it has largely persisted, with Fridays being the most popular day for online shopping.

Search Engines and Online Stores Lead the Shopping Journey

Over half of online shoppers (52%) have made international purchases, thanks to convenient global shipping and easy online ordering. Mexico leads in international shopping, with 72% of shoppers purchasing from both local and international websites, while U.S. and U.K. shoppers tend to prefer local sites, with 63% shopping domestically.

Online Shopping Habits and Consumer Behaviour Trends

A striking 99% of online shoppers check reviews before making a purchase, with 96% specifically seeking out negative reviews. Online reviews are highly influential, as 49% of shoppers trust them as much as personal recommendations from family and friends.

Generation Z Online Shopping Behaviour

According to a recent survey by Adyen, Generation Z shoppers (ages 18–26) show a strong preference for hybrid shopping. About 49% of Gen Z consumers opt to buy online and pick up their orders in-store, while 38% prefer visiting the store to return items. In comparison, only 28% of Baby Boomers use in-store pickup, and a mere 6% visit stores for returns, highlighting Gen Z’s greater comfort with integrating online and offline shopping experiences.

Top Motivators for Online Shopping

In 2025, free shipping remains the most influential factor driving online purchases, with 50.6% of shoppers citing it as a key motivator. Coupons and discounts follow at 39.3%, while the convenience of easy returns encourages 33.2% of consumers to shop online. 

Other notable factors include a simple checkout process (30.6%), customer reviews (30.5%), and next-day delivery (30.4%). Less prominent, but still significant, motivators include loyalty points (27.2%), cash on delivery (19.8%), social likes and comments (19.4%), and eco-friendly credentials (18.9%), highlighting the diverse factors that shape consumer behavior in e-commerce.

Key Online Shopping Statistics

• Shopping Cart Abandonment: Approximately 70% of online shopping carts are abandoned without being completed. In the U.S., nearly 50% of shoppers abandon their carts due to additional costs, such as shipping fees or taxes. Other common reasons include mandatory account creation (25%), slow estimated delivery (24%), and unsatisfactory return policies (16%). The average checkout process spans 5.08 steps, contributing to a 22% abandonment rate. Streamlined checkouts and guest purchase options significantly reduce cart abandonment.
• Pre-Purchase Research: Approximately 81% of online shoppers conduct research before making a purchase, with 60% starting their search on search engines. 66% use a PC or laptop at home, while 15% use mobile devices, emphasizing the need for marketers to optimize assets across all screens.
• Buy Now, Pay Later (BNPL): In the U.S., BNPL transactions reached $133 billion in 2024, up 14% from $116 billion in 2023, and are projected to grow to $206 billion by 2029. Despite the growth of BNPL, Americans hold an average of 3.26 credit cards per capita, compared to 0.99 debit cards.
• Live Commerce: Around 40% of U.S. shoppers have made purchases via live commerce, a figure that is higher in Asian and Latin American countries but lower in Europe.
• Mobile Commerce: Over 60% of online shoppers prefer mobile-friendly websites, and 84% are willing to install apps for better deals. Mobile commerce accounted for 60% of global e-commerce sales in 2023, with expectations for continued growth.

E-commerce Trends and Statistics for 2025

Growing Adoption of Augmented Reality (AR) in Shopping

• 32% of consumers use AR while shopping.
• 40% are willing to pay more for products that can be tested using AR.
• Nearly 90% of Gen Z shoppers express interest in AR-based shopping experiences.
• Over 90% of Americans currently use or would consider using AR for purchases.

Increasing Demand for Sustainable Brands

• Brands generating more than half of their sales from ESG-related (Environmental, Social, and Governance) products see a 32–34% repeat purchase rate.
• Brands with less than half of their sales from ESG products still achieve a repeat purchase rate just under 30%.
• A PRN survey shows 80% of consumers are more likely to trust companies that publicly validate their sustainability claims.
• 40% of consumers are hesitant to buy from brands not actively tracking sustainability goals.

Expansion of Subscription eCommerce

• The subscription-based eCommerce market is projected to exceed $450 billion by 2025, up from $15 billion in 2019.
• Subscriptions offer a dual benefit: providing consumers with flexible product selection while ensuring predictable revenue streams for businesses.

Enhanced Focus on Customer Loyalty Programs

• 33% of businesses currently without loyalty programs plan to implement one by 2027.
• Seventy-eight % of marketers rely on data-driven strategies to enhance customer engagement and retention.

Wrapping Up 

The E-commerce landscape in 2025 reflects a market that is not only expanding in size but also transforming in how consumers shop and what they value. Global and U.S. trends indicate a significant shift toward mobile shopping, sustainability, subscriptions, and AR experiences. The data clearly indicates that convenience, personalization, and trust are becoming increasingly important to customers. Businesses that adapt to these changes and prioritize consumer needs will be better equipped to succeed in the digital marketplace.

In 2025, artificial intelligence (AI) is a top priority for companies and governments worldwide. Businesses are investing heavily in AI tools, software, and technology, while governments are supporting AI through various programs and partnerships. This growing investment is transforming industries, making work more efficient, and driving innovations worldwide.

Global AI Market 2025

In 2025, the global artificial intelligence (AI) market is projected to reach approximately $757.58 billion, marking a significant increase from previous years. This growth trajectory is expected to continue, with the market forecasted to expand at a compound annual growth rate (CAGR) of 19.2%, potentially reaching around $3.68 trillion by 2034. This rapid expansion is a testament to AI’s transformative potential across various sectors, and many organizations consider it a top business priority. A significant portion of this growth is driven by generative AI, with worldwide spending on this segment alone projected to reach $644 billion this year, representing a 76.4% increase from 2024.

AI Spending in 2025 by Country

In 2025, artificial intelligence (AI) will have become a top priority for governments worldwide, with several countries making unprecedented investments to secure their technological and economic future. The United States is leading with the most significant investment of USD 470.9 billion, using the money to support research, technology, and partnerships with big companies like Google and Microsoft. China ranks second with USD 119.3 billion, channeling funds into early-stage AI innovation and large-scale infrastructure development to become a global AI powerhouse by 2030. 

The United Kingdom, Canada, and Israel are also investing in AI research, safety, and better computing power. Germany, India, France, South Korea, and Singapore are developing their own plans to advance AI, with a focus on education, infrastructure, and ethical use. These countries are collaborating with businesses and universities to develop new technologies, enhance public services, and ensure that AI is utilized safely and responsibly. Their efforts are helping AI become a significant contributor to economic growth and innovation worldwide.

Top Companies Spending on AI in 2025

In 2025, some of the largest tech companies are making substantial investments in artificial intelligence (AI), underscoring its importance for the future of business and innovation. Amazon is leading the way with plans to spend over $100 billion, focusing on AI and expanding its cloud services through Amazon Web Services. Microsoft is committing around $80 billion, with a significant portion going into building and upgrading data centres that support AI-powered solutions. 

Alphabet, the parent company of Google, is aiming to invest about $75 billion to enhance its AI infrastructure, ensuring faster and more efficient services. Meanwhile, Meta is allocating between $60 billion to $65 billion to advance AI development across its platforms. Together, these investments underscore how AI has become a pivotal pillar for driving growth, enhancing efficiency, and fostering technological leadership.

1. Amazon

• Estimated Spend: Over $100 billion
• Focus Areas: AI systems, delivery networks, cloud services
• What They’re Doing: Amazon is the biggest spender on AI, investing more than $100 billion in building AI-powered technology, improving delivery services, and expanding cloud platforms. This significant investment exceeds the spending of Microsoft, Google, and Meta, highlighting the growing importance of AI for the future.

2. Microsoft

• Estimated Spend: Over $100 billion
• Focus Areas: AI systems, data centers, partnerships
• What They’re Doing: Microsoft is also investing more than $100 billion in AI, focusing on building infrastructure, expanding data centers, and working with partners. This level of investment is helping shape the future of technology.

3. Alphabet (Google)

• Estimated Spend: Around $85 billion
• Focus Areas: AI research, data centers, cloud services
• What They’re Doing: Google’s parent company, Alphabet, is spending about $85 billion on AI research and upgrading its data centers. The goal is to improve its cloud services and AI tools.

4. Meta Platforms

• Estimated Spend: Up to $72 billion
• Focus Areas: AI research, data centers, advertising tools
• What They’re Doing: Meta is investing as much as $72 billion to integrate AI into its ads and enhance its data centers, enabling them to handle more AI-driven work.

Volkswagen’s $1.2 Billion AI Investment to Boost Manufacturing and Innovation

Volkswagen has announced a strategic plan to invest up to €1 billion (? $1.2 billion) in artificial intelligence by 2030. The investment will target AI-driven enhancements in vehicle development, manufacturing efficiency, and IT infrastructure. The company projects that AI adoption will significantly improve production speed, product quality, and overall competitiveness across its entire value chain.

AI Cloud Investments Propel Oracle’s Stock to Record Heights

Oracle’s stock soared 27%, reaching a record high, driven by a substantial increase in AI-related cloud infrastructure bookings. This surge boosted the company’s market valuation by $170 billion. In just three months, Oracle’s remaining performance obligations escalated from $138 billion to $455 billion, largely fueled by four multibillion-dollar cloud contracts with three major clients.

Generative AI Spending to Reach $644 Billion in 2025

The generative AI market is experiencing robust growth, projected to reach $643.86 billion by 2025, up from $365.96 billion in 2024, representing a 76.4% year-over-year increase. Among the key areas, devices account for the largest share, nearly doubling to $398.32 billion, while software continues to see strong demand, rising to $37.16 billion despite a moderated growth rate of 93.9%. Services are also experiencing rapid expansion, increasing from $10.57 billion to $27.76 billion, representing a 162.6% growth. Servers contribute significantly, with $180.62 billion in 2025. Overall, the data highlights the accelerating adoption of generative AI across industries, with every segment showing substantial investment and growth momentum.

AI Spending Industry-Specific Trends

AI spending is rapidly growing across industries, with business and personal services (CAGR 32.8%) and transportation and leisure (CAGR 31.7%) leading the way. Key applications include chatbots, virtual assistants, and personalized marketing services, as well as route optimization, predictive maintenance, and smart travel solutions in transportation and leisure. 

Business and Personal Services

• CAGR: 32.8%
• Key Drivers: Rising demand for personalised services, automation of administrative tasks, and enhanced customer support.
• Major AI Applications: Customer service chatbots, virtual assistants, personalised marketing campaigns.

Transportation and Leisure

• CAGR: 31.7%
• Key Drivers: Advancements in autonomous vehicles, smart logistics, and personalized travel experiences.
• Major AI Applications: Route optimization, predictive maintenance for vehicles, personalized travel recommendations.

Top Industries Leading AI Adoption 2025

In 2025, many industries are expected to utilize AI to enhance their operations. Banking is the top user, at 13.4%, using AI for tasks such as fraud detection, customer support, and risk management. Retail comes next, with 12.8% growth, utilizing AI for personalized marketing, stock management, and demand prediction. Professional services use AI for analytics, consulting, and automating tasks (10.4%). Manufacturing industries also use AI in discrete manufacturing at 9.5% and process manufacturing at 7.1% for things like maintenance, quality checks, and efficiency. The remaining 46.7% of AI use is spread across other industries, indicating that AI is expanding across various sectors.

Industry-Specific Trends in AI Investment

AI investment has been rising across various industries, with significant growth observed in key sectors from 2022 to 2024. Businesses are increasingly adopting AI-driven solutions to enhance efficiency, automate processes, and inform decision-making.

AI Adoption Driving Investment Growth Across Sectors

AI investment has been growing steadily across different industries from 2022 to 2024, as businesses use AI to work more efficiently, automate tasks, and make better decisions. The BFSI sector leads with investment rising from $72.6 billion in 2022 to $102.3 billion in 2024. Healthcare, advertising & media, as well as other sectors, also saw strong growth. Retail, automotive & transportation, manufacturing, law, and agriculture all increased their AI spending too, showing that AI is being widely adopted across many industries.

Wrapping Up 

In 2025, AI has become a key focus for businesses and governments worldwide, driving massive investments across industries and countries. The United States and China are leading the way in national AI investment, while major tech companies such as Amazon, Microsoft, Alphabet, and Meta are committing tens of billions to AI development. Industries from banking and healthcare to retail, transportation, and manufacturing are rapidly adopting AI to improve efficiency, automation, and decision-making. Overall, these investments underscore AI’s increasing role as a driver of innovation, economic growth, and technological leadership worldwide.

The OTT (Over-the-Top) industry is experiencing rapid growth in 2025, transforming the way people watch movies, shows, and live content. With streaming now part of daily life, the global OTT market is expected to cross $343.82 billion in revenue this year. Viewers are spending more time on smartphones, smart TVs, and connected devices, while platforms continue to expand through subscriptions, ads, and new content formats. In this article we are going to take a look at 49 OTT Global statistics, trends, and facts showcasing how OTT is changing and transforming entertainment and consumer behavior worldwide.

Global OTT Market Size

• The global OTT market is projected to generate approximately $343.82 billion in revenue in 2025, exhibiting a compound annual growth rate (CAGR) ranging from 6.5% to over 22%, depending on the forecast period.
• OTT video advertising is projected to generate approximately $207 billion in revenue in 2025, with further growth expected through 2029.
• Among OTT services, Subscription Video on Demand (SVOD) generates the most revenue, at over $119 billion. Ad-supported Video on Demand (AVOD) accounts for approximately 60% of total revenue, while Transactional Video on Demand (TVOD) contributes around 6%.

OTT User Base and Consumption

The global OTT user base has been steadily growing over the past decade, rising from 4.11 billion in 2020 to an estimated 5.54 billion in 2025. This upward trend is expected to continue, reaching approximately 6.33 billion users by 2029, reflecting the increasing adoption of digital streaming services by consumers and the growing popularity of on-demand content worldwide.

OTT Users By Age Group 

OTT platforms are most popular among younger audiences, with the 18 to 24 age group accounting for 42.7% of users. Users aged 25 to 29 make up 18.4%, while those aged 30 to 36 years old represent 11.5%. Teenagers 17 and under contribute 15% of the user base. Adoption declines in older age groups, with 6% of users aged 37 to 45 and only 2.1% aged 45 to 54. 

OTT Regional Insights

• North America is the largest OTT market, contributing ~40% of global revenue. The U.S. alone is projected to generate US$71 billion in 2025, with forecasts exceeding US$146 billion by 2030.
• India is one of the fastest-growing markets, with 600+ million users and a 10% annual growth rate. Connected TV adoption has surged to 129 million users (up 87% YoY), while paid subscriptions have reached 148 million.
• In market leadership, Disney+ Hotstar dominates India, whereas Netflix, with ~282 million paid subscribers worldwide, remains the global leader.

OTT User Statistics

• Nearly 98% of Americans subscribe to at least one streaming service, and 75% use two or more.
• Users spend an average of 17 hours per week on OTT platforms, which equals ~70 minutes per day. On mobile apps alone, viewing time reaches 38 hours per month, nearly a full workweek.
• Over 70% of users regularly binge-watch content. About 35% stream multiple times a day, and 75% access OTT at least three times per week. Typical sessions last 20–60 minutes.
• 86% of users plan to keep or expand their subscriptions. Of these, 61% will maintain current plans, 25% intend to add another service, while only 14% consider reducing subscriptions.
• On-demand OTT audiences grew by 45% YoY in Q1 2021, reflecting a lasting shift in viewing behavior.

OTT Video Global Penetration Rate

The global OTT penetration rate has shown significant growth over the past decade, increasing from 48.28% in 2019 to an estimated 70.92% in 2025. This upward trajectory is expected to continue, reaching approximately 78.62% by 2029, indicating that a growing majority of the global population will have access to or use OTT services.

OTT Revenue Statistics

The OTT market has experienced remarkable growth, accelerated by increased adoption during the pandemic as users turned to digital platforms for video content. Financially, the sector has expanded from $6.1 billion in 2010 to $83.34 billion in 2019, and further to $162 billion in 2023. Looking ahead, global OTT revenue is projected to reach approximately $215 billion by 2029, reflecting sustained growth and the increasing monetization of streaming services worldwide. 

OTT TV And Video Revenue In United States

The United States OTT TV and video market continues to show steady growth, with total revenue reaching $73.6 billion in 2023. Of this, SVOD services contributed $52.5 billion, AVOD generated $15.6 billion, and other revenue sources accounted for $5.5 billion. In 2024, total revenue is expected to rise to $76.6 billion, supported by growth in AVOD to $17.5 billion and a slight increase in SVOD to $53.5 billion. 

By 2029, total OTT revenue in the U.S. is projected to reach $79.9 billion, with SVOD at $54.6 billion, AVOD at $21.6 billion, and other segments contributing $3.7 billion, highlighting the continuing dominance of subscription services alongside the rising importance of ad-supported models.

Top OTT Platforms by Subscribers

Netflix leads the global OTT market with over 301 million subscribers, followed by Amazon Prime with 200 million and Disney+ at 127.8 million. Other major platforms include HBO (125.7 million), Tencent Video (117 million), and iQIYI (101.1 million), reflecting strong user bases in both Western and Asian markets.

Subscription numbers decline for platforms like Paramount+ (77.7 million), Hulu (55.5 million), Peacock (41 million), and Hotstar (35.9 million), while niche and specialized services such as SonyLiv (33.3 million), Apple TV+ (30 million), CuriosityStream (25 million), ESPN (24.1 million), and DAZN (20 million) serve smaller but dedicated audiences.

Consumer Spending on OTT Worldwide

Consumer spending on OTT services has grown significantly over the past decade, rising from $27.68 billion in 2017 to a peak of $73.43 billion in 2021 during the pandemic-driven surge. Although spending dipped to $65.47 billion in 2023, forecasts indicate a strong recovery, with global consumer spending projected to climb to $120.46 billion by 2027. 

This steady upward trend underscores the increasing value consumers place on digital streaming platforms, fueled by expanding content libraries, wider accessibility, and the global shift toward on-demand entertainment.

OTT Trends & Technology Statistics 2025

• SVOD holds 47% of OTT revenue in 2025, while AVOD and FAST are the fastest-growing. FAST channels generate US$18.7B in 2025, up 19% YoY. TVOD remains a niche, mainly for pay-per-view.
• Over 80% of OTT platforms use AI for recommendations. Platforms using AI personalization see a 25% boost in engagement. Generative AI cuts localization and dubbing costs by 15% to 20%.
• Live OTT viewership is rising at 45% to 50% YoY. Sports make up 37% of live content in 2025. Interactive live events (concerts, gaming) grow 30% annually.
• 14% of OTT users consumed AR/VR content in 2025, up from 6% in 2022. Gamification features increase retention by 18% to 22%.
• Connected TVs drive 38% to 40% of OTT viewing time, mobile apps 35%, and browsers <15%. Programmatic ads represent 72% of OTT ad spend, with 20–25% better CPM efficiency.

OTT Live Streaming Statistics 2025

• Live streaming makes up ~25% of all OTT viewing time in 2025, up from 17% in 2022. Total live OTT viewers are projected to exceed 1.6 billion worldwide this year.
• Sports contribute ~37% of live OTT consumption. ESPN+ has surpassed 25M subscribers, while DAZN serves ~20M subscribers across 200+ countries. Global sports streaming revenue is projected at US$18B in 2025, growing at ~20% CAGR through 2030.
• E-sports live streaming has grown at 35% YoY, now attracting over 300M monthly viewers. Asia-Pacific leads with 55% of the global e-sports audience, followed by North America at 17%. The global e-sports market is valued at $4.3B in 2025.
• Platforms like Instagram Live, Facebook Live, and YouTube Live integrate with OTT apps, extending potential reach to 2.5B+ active users. TikTok Live alone hosts ~50M daily active stream viewers, many under age 30.
• 20% of live OTT streams are available in 4K/8K in 2025, up from 7% in 2020. By region, North America leads with 28% of streams in UHD, while Asia-Pacific follows at 22%. The rollout of 5G and rising smart TV penetration (now ~38% of global OTT devices) drive this trend.
• Live chat, polls, and multi-camera features are used by 65% of viewers during live streams. Platforms offering interactivity report 30% higher watch-time and 25% lower churn rates.

OTT TV Apps Statistics 2025

• OTT apps are expected to be installed on 80% of smart TVs worldwide in 2025, making them a primary gateway for streaming content.
• Netflix’s TV app remains the leader with 1B+ global installations, the highest among all OTT platforms.
• The Asia-Pacific OTT TV and movie market is set to grow by 90% in 2024, reaching US$54 billion in revenue by 2026.
• Engagement on OTT TV apps has risen by 30%, supported by better UI/UX design and AI-driven recommendations.
• In the U.S., 26% of monthly OTT TV app viewers primarily tune in for breaking news content.
• Around 50% of OTT TV app users now rely on voice search for content discovery, enabled by smart TV assistants.
• Live TV apps such as Hulu Live and YouTube TV have seen a 40% increase in usage, driven by sports and real-time event streaming.
• Global Pay TV subscriptions are projected to exceed 1 billion by 2026.
• Around 66% of users access their SVOD services through Pay TV set-top boxes, highlighting the integration of OTT and Pay TV.
• In the U.S., 54% of Connected TV viewers fall within the 18 to 34 age group, making young adults the dominant audience segment.

OTT Device Usage & Consumer Preferences Statistics 2025

• Over 70% of OTT content is consumed on smartphones, making them the leading streaming device globally.
• The revenue from live video streaming is projected to reach $184.27 billion by 2027.
• 60% of households in the U.S. and Europe now rely on smart TVs for OTT streaming, up from 45% in 2022.
• About 80% of viewers use multiple devices switching between smartphones, tablets, and TVs for seamless streaming.
• Millennials are the largest audience for live content, with 63% of them watching live. Most prefer viewing on a smartphone (56%) or tablet (44%).
• With 5G rollout, 4K/8K streaming is becoming mainstream, reducing buffering times by up to 80% in urban regions.
• About 34% of Generation Z have developed an interest in live streaming, especially on social media platforms.
• In South America, 85.12% of smartphones run on Android, while only 14.46% operate on iOS, highlighting Android’s clear dominance in the region.
• In 2021, viewers spent a combined 548 billion hours streaming content on mobile devices, underscoring the dominance of mobile in OTT consumption.
• Between 2021 and 2022, the online learning industry experienced a significant 120% growth in live streaming sessions.
• Live streaming accounts for 23% of total global viewing time.
• Twitch is currently the largest live streaming platform globally, with over 9.3 billion hours of live social video watched in 2019, holding a 73% market share.

Wrapping Up

The OTT industry in 2025 reflects a massive shift in global entertainment consumption. The industry is set to generate over $343 billion in revenue with more than 5.5 billion users worldwide and a 71% penetration rate. Young audiences remain the biggest drivers of growth, while smartphones and smart TVs lead content consumption. With steady expansion in subscriptions, ads, and live streaming, OTT platforms are shaping the future of how people watch and engage with content.

In today’s digital landscape, artificial intelligence (AI) is transforming the nature of cyber threats, assisting in a new era of AI-driven cyber attacks. Cybercriminals are increasingly leveraging AI technologies to craft more sophisticated, automated, and hard-to-detect attacks, from highly personalized phishing schemes to advanced malware that adapts in real-time. Today, almost 40% of the cyberattacks are AI-driven.

This rapid evolution poses significant challenges for cybersecurity professionals, as traditional defense mechanisms struggle to keep pace. Understanding the scope, methods, and implications of AI-enabled cyber attacks is crucial for organizations aiming to safeguard their data and infrastructure in an increasingly complex threat environment.

In this guide, we will examine AI Cyber attack statistics to understand the scale, impact, and evolving tactics of AI-driven threats shaping the future of cybersecurity.

Global AI Cyber Attacks Statistics

40% of all cyberattacks are now AI-driven 

Recent data indicates a significant rise in the use of artificial intelligence (AI) by cyber attackers, with approximately 40% of all cyberattacks now being AI-driven. This trend underscores a shift toward more adaptive and scalable threat models, including advanced malware and automated phishing campaigns. 

Moreover, AI algorithms have been observed to automatically analyze target profiles, identify system vulnerabilities, and generate highly customized attack vectors, increasing the likelihood of successful breaches.

Cybercrime inflicted over $10.4 billion in damages globally in 2024

In 2024, cybercrime escalated to unprecedented levels, with its global economic impact surpassing €10 billion ($10.4 billion) a 100% increase compared to the losses reported in 2023. This rapid growth effectively positions cybercrime as the third-largest global economic entity, trailing only the United States and China. The surge in cyberattacks is largely attributed to motivations such as financial gain, ideological agendas, and state-sponsored espionage.

Password attacks escalated to 7,000 per second in 2024

In 2024, password attacks surged to a rate of 7,000 attempts per second, a more than 1,100% increase from 579 attempts per second in 2021. This exponential growth underscores the accelerating velocity and automation of cyberattacks, reflecting a significant escalation in both frequency and scale over just three years.

Infostealers compromised 2.1 billion credentials in 2024

In 2024, infostealers were responsible for compromising 2.1 billion credentials, representing over 60% of all stolen credentials that year. This figure illustrates the dominant role of infostealers in credential theft and highlights the growing efficacy of AI-enhanced data exfiltration tools, which are enabling more targeted and large-scale breaches with minimal manual intervention.

A computer connected to the Internet gets attacked 2,244 times a day

A study conducted by the University of Maryland found that computers connected to the Internet experience an average of 2,244 cyberattack attempts per day, translating to approximately one attack every 39 seconds. This statistic was derived from monitoring continuous brute-force attacks on a range of systems, highlighting the persistent and automated nature of cybersecurity threats in real-time digital environments.

In 2023, data breaches affected approximately 353.03 million individuals

According to the Identity Theft Resource Center, a total of 353,027,892 individuals were affected by data breaches in 2023. The majority of these breaches were attributed to cyberattacks, underscoring the significant role of malicious digital activity in compromising personal and organizational data on a massive scale.

AI Tools Used by Cybercriminals

Top AI models exploited: ChatGPT, OpenAI API, Google Gemini, Microsoft Copilot, and Anthropic Claude are among the most commonly leveraged platforms by cybercriminals for crafting sophisticated attacks.

• Rise of specialized AI hacking tools: Open-source and hacking-oriented AI tools such as DeepSeek, Qwen, WormGPT, and AI-driven DDoS platforms have seen a significant increase in usage, contributing to a surge in automated and scalable cyber attacks.
• Lowering of technical barriers: AI-assisted coding and automated attack generation have reduced the skill level required for executing cyber attacks, enabling a broader range of actors including less technically skilled individuals to launch complex threats.

Emerging Types of AI-Driven Cybercrimes

As artificial intelligence reshapes the digital landscape, it is also fueling a surge in sophisticated cybercrimes. The following categories highlight the most prominent AI-powered threats, backed by the latest data:

1. AI-Generated Phishing

AI is transforming phishing into a precision-driven threat. With large language models (LLMs) capable of generating convincing emails at scale, cybercriminals are exploiting this capability to deceive victims more effectively and affordably.

• 40% of phishing emails targeting businesses are now AI-generated.
• 60% of recipients fall for AI-generated phishing emails comparable to success rates for human-written scams.
• Cybercriminals using LLMs can cut campaign costs by 95%, enabling broader and more frequent attacks.
• The average cost of a phishing-related data breach is $4.88 million.

2. AI-Powered Deepfakes

Deepfake technology has evolved rapidly, becoming a critical tool for fraudsters. These AI-generated impersonations are now central to high-value social engineering and financial scams.

• 61% of organizations reported an increase in deepfake attacks over the past year.
• Deepfake-related incidents are expected to grow by 50–60% in 2024, with an estimated 140,000 to 150,000 global cases.
• 75% of deepfakes were used to impersonate CEOs or other C-suite executives, highlighting their use in executive fraud schemes.
• Losses from deepfakes and similar AI-enabled attacks are projected to surge by 32%, reaching $40 billion annually by 2027.
• Impersonation scams involving deepfakes cost victims $12.5 billion in 2023 alone.

3. AI-Enhanced Ransomware

AI is making ransomware more adaptive and effective, allowing attackers to automate and tailor their exploits for maximum impact.

• 48% of cybersecurity professionals anticipate AI will play a key role in the next wave of ransomware attacks.
• The average cost of a ransomware incident reached $4.45 million in 2023.
• Ransomware activity surged, with attacks increasing 13-fold as a percentage of total malware detections in just six months.

4. AI in Cryptocrimes

The convergence of AI and cryptocurrency is breeding a new frontier of fraud. From deepfake wallet scams to algorithmic laundering, AI is central to a growing number of crypto-related crimes.

• 70% of cryptocrimes are expected to involve deepfake technology by 2026.
• In 2023, cryptocurrency-related losses hit $5.6 billion, making up half of all reported financial fraud complaints.
• These losses represent a 53% increase over the previous year, reflecting the rising threat posed by AI in financial scams.

AI Cyber Attacks Financial Impact

AI-assisted cyber attacks are now estimated to cost businesses over $40 billion annually

According to the 2024 IBM Cost of a Data Breach Report, AI-assisted cyber attacks are estimated to cost businesses over $40 billion annually. The average cost of a data breach reached $4.45 million, marking a 15% increase over the past three years. Organizations in the United States reported the highest average breach cost at $9.48 million, while the healthcare sector remains the most targeted, with an average breach cost of $10.93 million.

60% of small businesses are failing within 6 months of a major AI-based cyber breach

Small businesses are suffering disproportionately around 60% of small enterprises are unable to recover and fail within six months of experiencing a major AI-based cyber breach. Additionally, AI-driven attacks are associated with 27% longer detection and containment times, further compounding losses. However, organizations deploying AI-powered security solutions reduced breach lifecycles by an average of 108 days and realized cost savings of $1.76 million per incident compared to those without such tools.

AI-generated Cybersecurity Risks

60% of IT professionals believe their organizations are unprepared to counter AI-generated cyber threats

According to a 2024 survey by Darktrace, 60% of IT professionals report that their organizations are not adequately prepared to defend against AI-generated cyber threats. This sentiment reflects growing concerns about the sophistication and speed of AI-driven attacks, which are outpacing traditional cybersecurity measures.

In 2024, 79% of IT security leaders confirmed that they have deployed controls to address AI-generated cyber risks

79% of IT security executives report having implemented measures to mitigate AI-related cyber risks. However, only 54% of hands-on cybersecurity practitioners express confidence in the effectiveness of these measures, revealing a 25-percentage-point confidence gap between leadership and operational teams in addressing AI-driven threats.

41% of organizations currently maintain endpoint detection and response (EDR) strategies

According to Deep Instinct (2024), 41% of organizations continue to rely on endpoint detection and response (EDR) strategies as a primary defense against AI-driven cyber attacks. However, research from the Ponemon Institute indicates that over 50% of organizations consider EDR solutions ineffective against emerging threat vectors, highlighting a significant gap between current defensive practices and their perceived efficacy in combating novel AI-enabled attacks.

31% of organizations intend to boost their investment in EDR solutions

Despite acknowledged limitations of endpoint detection and response (EDR) solutions, 31% of organizations plan to increase their investment in EDR technologies, according to Deep Instinct (2024). This indicates a continued reliance on EDR as a core component of cybersecurity strategies, even amid concerns about its effectiveness against advanced AI-driven threats.

Organizational Readiness for AI Cybersecurity Risks

Despite the sharp increase in AI-driven cyber threats, only about 35% of organizations globally feel very prepared to defend against these sophisticated attacks. This widespread lack of confidence reveals clear weaknesses in many cybersecurity strategies and defenses today. One of the biggest challenges is the severe shortage of skilled professionals who are proficient in both AI technologies and cybersecurity. Currently, there are over 3 million cybersecurity jobs left unfilled worldwide, making it incredibly difficult for organizations to build strong teams capable of tackling complex AI-enhanced threats.

This talent shortage directly affects an organization’s ability to:

• Develop and deploy effective AI-powered security tools
• Detect and respond quickly to AI-driven attacks
• Continuously monitor and adapt to an ever-changing threat environment
  

To close this gap, investing in targeted training programs, proactive recruitment, and interdisciplinary education is essential. Strengthening this workforce will be key to boosting organizational readiness and resilience as AI cyber risks continue to grow.

Leveraging AI for Cybersecurity Defense

• In 2024, approximately 66% (2 out of 3) of organizations have adopted AI and automation within their Security Operations Centers (SOCs), reflecting rapid integration of AI-driven defense tools.
• Core AI-based strategies include behavioral analytics, anomaly detection, and automated incident response, which are increasingly recognized as critical components for proactive threat mitigation.
• Leveraging AI technologies has been shown to reduce breach identification and containment times by up to 100 days, significantly minimizing potential damage and response costs.
• Looking ahead, implementing zero trust architectures and adopting quantum-resistant cryptographic methods are essential steps organizations are taking to future-proof their cybersecurity frameworks against evolving AI-driven threats.

Challenges and Future Outlook in AI Cybersecurity

The ongoing escalation between AI-driven cyberattacks and AI-powered defense tools has sparked an intense arms race in the cybersecurity landscape. As AI technologies become more widespread, the complexity of security governance is rising 14% of organizations report significant concerns about managing AI-related risks effectively.

Alongside technical challenges, there are growing ethical and legal questions about the use of AI in both cybercrime and cybersecurity, raising important debates on regulation and responsible AI deployment. To stay ahead, continuous innovation, cross-industry collaboration, and adaptive strategies will be essential to effectively counter the evolving threats powered by AI.

Wrapping Up

AI-driven cyber attacks are growing fast and becoming more complex every day. Behind these statistics are real people and organizations facing increasing risks to their data, privacy, and operations. While the challenges are significant, the rise of AI also pushes us to innovate smarter defenses and work together more closely than ever before. Understanding these trends is the first step toward staying one step ahead in a world where technology is constantly evolving. Staying informed and proactive is essential to protecting critical data and infrastructure in this rapidly changing cyber landscape.