Smart Home Market $56.18 Billion by 2020

SmatHome

FutureForAll.org

MarketsandMarkets:

The smart home market is estimated to grow from $25.38 Billion in 2015 to $56.18 Billion by 2020, at a CAGR of 17.2% between 2015 and 2020, while the assisted living market is estimated to grow from $1.20 Billion in 2015 to $3.96 Billion by 2020. The report aims at estimating the market size and future growth potential of smart home and ambient assisted living market across different segments such as products, services, and regions. The base year considered for the study is 2014 and the market size is forecast from 2015 to 2020. Growing geriatric population and rising demands for managed healthcare are expected to play a key role in fueling the growth of the AAL market in the next five years. Increased security and safety concerns, rising demands for energy savings, and low carbon emission-oriented solutions are driving the growth of the smart home market.

The smart home and ambient assisted living market comprises players such as Honeywell International, Inc. (U.S.), Siemens AG (Germany), Schneider Electric S.E. (France), Ingersoll Rand Plc. (Ireland), Legrand SA (France), ABB Group (Switzerland), Medic4all Group (Switzerland), Tunstall Healthcare Ltd. (U.K.), Chubb Community Care (U.K.), Televic N.V. (Belgium), Telbios (Italy), Vitaphone GmbH (Germany), GETEMED AG (Germany), Koninklijke Philips N.V. (Netherlands), CareTech AB (Sweden), and Assisted Living Technologies, Inc. (U.S.)

 

Posted in Misc | Tagged | Leave a comment

63 Fintech Startups Targeting Millennials

CBInsights_millennialfintechfinal

CB Insights:

Fintech startups prominent in the millennial demographic range include “robo-advisors” offering low-cost alternatives to brokerages, to lending firms innovating in credit risk, and stock-picking and automated savings apps.

Many of the fintech startups are leveraging existing technologies already popular among young adults such as social networks and mobile messaging. Project crowdfunding sites GoFundMe and Andreessen Horowitz-backed Tilt, for example, mirror or take advantage of social networks and are largely popular among college audiences. Google Ventures and General Catalyst-backed HelloDigit transfers money directly via text message.

Posted in Misc | Tagged | Leave a comment

Beyond Apple, Facebook, Microsoft, and Google: Intelligent Assistants Landscape

VB:

Ever since Apple’s Siri heralded the age of intelligent assistants (IAs) four years ago — followed by Microsoft, Google, Microsoft, and Facebook — pundits have complained that intelligent assistant technology isn’t living up to its promise…

In 2015, the IA space introduced new features, functions, and integrations at an accelerated rate. As the general public becomes more comfortable communicating with machines using their own words, demand is growing. On the supply side, technology providers benefit from “the API economy.” Well-defined interfaces and integration points make it possible for today’s IAs to add new tasks and capabilities to their repertoire quickly and efficiently. For example, Alexa, the IA for Amazon’s Echo, has moved beyond reading e-books aloud and can now order pizza and summon Uber.

Apple’s Siri, which is decidedly less open, still allows its users to make posts to Facebook, book tables at nearby restaurants, play podcasts, and make appointments for you. Google’s unnamed IA is able to provide turn-by-turn directions. Microsoft’s Cortana adds travel times for planning purposes. And now Facebook’s message-based M can recommend clothing stores and new fashions and share all this with your friends…

Here are the developments we saw in 2015:

  1. The proliferation of bots: New bots appeared almost weekly. One example is Evia, which can help individuals buy car insurance based on a picture of their license plate.
  2. Mass acceptance of natural language processing: We no longer bark commands or search terms, instead we ask questions and speak in full sentences.
  3. Migration to messaging: WhatsApp, WeChat, Facebook Messenger, and their peers are adding bots and becoming e-commerce ecosystems.
  4. Emergence of emotion detection: Companies like Emobase and Heartbeat Technologies are sorting out how to recognize and respond to our emotional “tells.”

And here’s what we’ll see in 2016:

  1. Intelligent Authentication (IAuth) promotes trust: IAuth will make it possible for an IA to have strong confidence that the person it is conversing with is who he or she claims to be. It will also help IAs maintain context and be better able to take turns in a conversation.
  2. Growth of conversational commerce: Today’s IAs customarily answer questions and then move on. Future IAs will know that, because you asked about nearby restaurants, there’s a good chance you will want to book a table. And, as long as you are going to book a table, perhaps you want share the experience with your friends and family.
  3. Empathetic IAs: Speech analytics can already detect when an individual is angry and ready to change vendors, but a new generation of solutions providers promote emotion detection that is responsive to a broader array of feelings.
  4. Ubiquitous IA: Amazon’s Echo has open APIs that keep adding capabilities. Today most of them are in the kitchen but many have moved to the family room to rule the TV. Consistent, conversational interfaces to cars and public kiosks are next.
Posted in Artificial Intelligence, Misc | Tagged , , , | Leave a comment

Funding per Internet of Things Category

iot-average-funding_venturescanner.jpg

Venture Scanner:

We are currently tracking over 803 companies in 16 categories across 43 countries, with a total of $6.82 Billion in funding.

HT: 

Posted in Internet of Things, Misc | Tagged | Leave a comment

Internet of Things (IoT) Predictions

IoT_Forrester

For the third year in a row, the Internet of Things has dominated CES. More than 900 companies out of 3,800 at the show said they had Internet of Things products. Andrew Begin at Mirum observed that the IoT has “caught fire in a big way” and Perry Simpson at Direct Marketing predicted that the IoT will solidify “from marketing dream to full on marketing channel.”

But not everybody was impressed: “IoT remains mired in smart light bulbs, net-connected cameras and wireless speakers,” opined Andrew Tarantola at Engadget, “the same sorts of bland, iterative use cases we’ve been seeing since the term was first coined.” Pam Baker at FierceBigData complained that “IoT data products were again in overdrive, many in outright overkill, and the same problems with data deluge still existed,” and Todd Hixon offered this on Forbes: “The fundamental problem is, there is still no killer app for IOT: something a large group of customers really care about and just have to have.”

So what’s the state-of-the-IoT and where is it going? Here’s a summary of data and predictions from Forrester, Machina Research, the World Economic Forum (WEF), Gartner, and IDC (see a list of specific sources at the end of this post).

Enterprise IoT spending larger than consumer spending in the near-term.

The IoT will drive a shift from selling products to providing service.

IoT security will become a significant component of security budgets and security concerns will slow IoT adoption

IoT analytics will become a data science specialization and a top in-demand job

There will be some pruning of competing IoT networking options but no dominant platforms and standards

Virtual and augmented reality will add a new dimension to the IoT, for both consumer and enterprise applications

Forrester

In a new TechRadar report, Forrester states that “Internet of Things (IoT) technologies are diverse and immature.” Most of the 19 IoT technologies identified in the report are in “Survival and Growth phase today,” and the development of standards and robust security is key to their success: “Standards are nascent, as vendors are only a couple of years into the process of creating general-purpose interoperability standards. And IoT security technologies are still in the Creation phase, with no established products.”

Forrester says that the IoT is a “business-led trend,” and reports that 23% of enterprises use the IoT, with another 29% planning to do so within 12 months. They use the IoT to transform their business models by moving from one-time product transactions to ongoing product-as-a-service relationships, optimize utilization of physical and financial assets, and to create new forms of customer engagement.

In its 2016 predictions document, Forrester saw in its crystal ball these 2016 developments:

–At least one company will coach Wall Street investors on how to follow their evolution from product to service revenues, just as Adobe and Microsoft have as they made the switch from selling perpetual licenses to selling software-as-a-service (SaaS).

–Enterprise customers and consumers will automatically ask product sellers about the sensor capabilities in the mobile app for a new machine tool or a refrigerator.

–One or more companies will report the number of connected products they have in operation with customers, plus the number of connected customers they serve.

–IoT will create massive volumes of time-series data and IoT analytics will become a specialized category and discipline.

–Home insurance companies will begin to broadly promote smart home discounts.

–10% of drivers will use new auto “appcessories”—smartphone-enabled devices for their cars—that retrofit some connected car features to older cars.

Machina Research

–We will start to feel the first heartbeat of the new IoT economy and the shift from selling products to providing service as at least one Fortune 500 company will fundamentally change how it values, underwrites or trades assets based on the data generated by IoT.

–The need for an IoT push from a C-level executive will be met as at least one Fortune 500 company will appoint a Chief IoT Officer.

–Corrective analytics—a security option to apply automated corrective measures based on actual real-time outcomes rather than predicted or prescriptive actions—will emerge as a fail-safe approach across a range of sectors.

–A household name in IoT will file for bankruptcy while at least one will be bought for a price that breezes through the 100x revenue multiple.

–At least one of the major Low-Power, Wide-Area (LPWA) technologies today will effectively be rendered redundant but there will still be more technology fragmentation.

–Chinese players will shake up the IoT landscape, increasing market share significantly across semiconductors, software platforms, smart cities deployments, and integrated solutions especially.

–Digital twins and digital avatars will proliferate, virtualizing the real world will be incredibly popular, and augmented reality will move out of its niches and see much wider adoption.

–There will be no meaningful commercial trials of IoT implementations based on the Blockchain.

–At least one major IoT player will face significant regulatory issues.

World Economic Forum (WEF)

The WEF surveyed 800 leaders on 21 tipping points—moments when specific technological shifts hit mainstream society—expected to be enabled by software by 2025:

–92.1% believe that 10% of people will wear clothes connected to the Internet.

–89.2% believe that 1 trillion sensors will be connected to the Internet.

–85.5% believe 10% of reading glasses will be connected to the Internet.

–69.9% believe that over 50% of internet traffic to homes will go to appliances and devices.

Gartner

–Spending on IoT services will reach of $235 billion in 2016, up 22% from 2015.

–In terms of hardware spending, spending on consumer applications will total $546 billion, and the use of connected things in the enterprise will drive $868 billion in 2016.

— 6.4 billion connected things will be in use worldwide in 2016, up 30% from 2015, reaching 20.8 billion by 2020.

–In 2016, 5.5 million new things will get connected every day.

–More than half of major new business processes and systems will incorporate some element of the Internet of Things (IoT) by 2020.

–Through 2018, 75% of IoT projects will take up to twice as long as planned.

–By 2020, a black market exceeding $5 billion will exist to sell fake sensor and video data for enabling criminal activity and protecting personal privacy.

By 2020, addressing compromises in IoT security will have increased security costs to 20% of annual security budgets, from less than one percent in 2015.

IDC

–Worldwide spending on IoT will grow at a 17% compound annual growth rate (CAGR) from $698.6 billion in 2015 to nearly $1.3 trillion in 2019.

–40% of the worldwide total IoT spending in 2015 came from Asia/Pacific.

–By 2018, there will be 22 billion IoT devices installed, driving the development of over 200,000 new IoT apps and services.

–The worldwide wearable device market will reach a total of 111.1 million units shipped in 2016, up 44.4% from the 80 million units shipped in 2015. By 2019, total shipments will reach 214.6 million units, a five-year compound annual growth rate (CAGR) of 28%.

–By 2018, 66% of networks will have an IoT security breach.

–By 2020, 10% of all attacks will target IoT systems.

–By 2018, 60% of Global 1000 companies will integrate IT & Operations Technology (OT) at the technology, process, security & organization levels to fully realize the value of their IoT investments.

–2016 will become the “Year of the IoT Developer,” with 250,000 unique IoT applications developed by 2020.

–By 2018, 20% of all IoT intelligent gateways will have “container technology” for packaging IoT application code in a thin containerized environment thus accelerating IoT microservices.

–By 2020, enterprise IoT deployments will be focused on international expansion with Asia & Europe leading, North America following from a distance.

–By 2019, 45% of IoT-created data will be stored, processed, analyzed and acted upon close to, or at the edge, of the network.

–By 2018, 80% of IoT smart device vendors in China will be eliminated through competition, and the market will be reshuffled for a better landscape.

–By 2018, 16% of the population will be Millennials and be accelerating IoT adoption due to their reality of a connected world.

–Local public safety organizations will spend $20.7 billion in 2016 on IoT-enabled solutions.

To learn more about the state-of-the-IoT, check out the following events in the coming months:

January 28, PTC live stream event on augmented reality and IoT

February 10-11, IoT TecExpo Europe, London, UK

March 2-3, Smart Cities Innovation Summit, Singapore

March 9-10, Internet of Things Forum, Cambridge, UK

March 30-31, IoT Asia, Singapore

April 13-14, Internet of Things North America, , Chicago

April 21-22, Internet of Things Summit, San Francisco

April 23-25, International Conference on Internet of Things and Big Data (IoTBD), Rome, Italy

May 10-11, Internet of Things Summit, London, UK

May 10-12, Internet of Things World, Santa Clara

May 29-31, 2nd Conference on Internet of Things and Smart City (IoTSC 2016),  Nanjing, China

Sources

Forrester

TechRadar™: Internet Of Things, Q1 2016

Predictions 2016: IoT’s Impact Inside Companies

Machina Research Predictions for IoT in 2016

WEF “Deep Shift: 21 Ways Software Will Transform Global Society” (PDF)

Gartner

Gartner Says 6.4 Billion Connected “Things” Will Be in Use in 2016, Up 30 Percent From 2015

Predicts 2016: Unexpected Implications Arising From the Internet of Things

IDC

Internet of Things Spending Forecast to Reach Nearly $1.3 Trillion in 2019 Led by Widespread Initiatives and Outlays Across Asia/Pacific

IDC Forecasts Worldwide Shipments of Wearables to Surpass 200 Million in 2019, Driven by Strong Smartwatch Growth

IDC’s Look Ahead at The Internet of Things

Posted in Internet of Things, Misc, Predictions | Leave a comment

Virtual/Augmented Reality: Commercial and industrial applications account for most deals

CBInsights_VRAR-deals

CBInsights_VRAR-funding

CB Insights:

The number of VR/AR startups is increasing as venture capital dollars continue to flood in, with investment reaching an all time high in 2015 of $658M in equity funding across 126 deals, according to CB Insights data. Even as VR/AR startups launch, larger corporates are developing VR/AR-related businesses, products, and investing in the space…

VR/AR categories

Commercial and industrial applications

The companies in this category will advance productivity in an enterprise setting through enhanced visualization. Commercial and Industrial applications of VR/AR include marketing technology, sports training, labor training, retail, interior design, real estate, transactions, aerospace/defense, security, quality testing, manufacturing, logistics, healthcare, and data analytics.

Content 

Pure content studios and agencies that create VR/AR content such as bonus movie or TV show content and journalistic content. This category also includes gaming and education. There are a number of companies that resemble production houses, advertising agencies or VR “work-for-hire” shops that produce VR/AR experiences for their clients. Some of these companies have started off as pure content creators and have later also become distributors.

  • Education 

These companies provide learning and education for people whether it is for the classroom, corporate learning management, or certifications. The education software market will see innovation through immersive learning enabled by VR/AR.

  • Gaming

Gaming is of the more obvious and near-term use cases for VR/AR. Popular first person shooters such as Wolfenstein 3D, Halo, and massive multiplayer online role playing games (MMORPGs) such as Everquest and World of Warcraft were popular video games that immersed gamers in alternate visually appealing environments (for their time) and enabled interaction with bots and other players. New VR games coming out will advance that immersive experience, once confined by a screen.

Discovery & Distribution

These companies provide a destination to search and discover VR/AR content and apps. Some of them have created their own content to seed their platforms while some of the content companies have added discovery and distribution as part of their offering, as noted above.

Social

Companies in this category allow for social, collaboration and communication within the medium. I’ve seen companies here provide virtual meeting environments and chat rooms where the user is represented in a virtual environment with an avatar.

Hardware

Hardware includes head mounted displays (HMDs), mobile HMDs, other mixed reality displays, cameras and capture technology, accessories and input devices, and specialty lenses. After Facebook’s acquisition of Oculus, it is interesting to see other companies’ involvement with HMDs: Google’s investment in Magic Leap, HTC’s Vive,  Samsung’s collaboration with Oculus on the GearVR, Sony’s PlayStation VR, and Fox’s recent investment in Osterhout Design Group.

Infrastructure & Tools

This category captures a lot of different types of companies, but in essence these companies (aside from the headsets and mobile devices) provide the backbone, piping, delivery, building blocks, or creation software for VR/AR. I consider this category to encompass creation tools, dev tools, gaming engines, SDKs, gesture & motion tracking, haptic feedback technology, WebVR, encoding, and live-streaming tools. Companies in this space are solving the technology limitations for great VR/AR experiences (such as high quality delivery, VR/AR asset transfer, and the challenges of “presence”).

Funding Data

The top funded categories were hardware, followed by infrastructure and tools, commercial/industrial applications, and content. The least funded category is discovery and distribution.

 

 

Posted in Misc | Tagged | Leave a comment

The Evolution of Digital Capacity by Country

Digital_Capacity_byCountry

The Fletcher School, Tufts:

The Digital Evolution Index (DEI) analyzes the key underlying drivers and barriers that govern a country’s evolution into a digital economy: Demand, Supply, Institutional Environment, and Innovation. A longitudinal analysis of these four drivers during the years 2008 to 2013 enables us to make sense of the evolving global digital landscape, reveal patterns and provide insights into both current consumers and those to come. The index and the corresponding analyses of the patterns reveal many broad conclusions – each of them has powerful managerial, investment and policy implications.

Digital_Capacity Explainer

See also Bhaskar Chakravorti and Ravi Shankar Chaturvedi Europe’s Other Crisis: A Digital Recession and Where the Digital Economy Is Moving the Fastest

Watch the HBR video
//players.brightcove.net/2071817190001/e17e6e1b-ffd1-4650-843d-76760bab288b_default/index.html?videoId=4443548302001

Posted in digital transformation, Digitization, Misc | Tagged | Leave a comment

IoT: Market Landscape, Companies, Funding, VCs, Maturity Level

IoT-state-of-internet-of-things-in-six-visuals.jpg

Posted in Internet of Things, Misc | Leave a comment

5.5 billion mobile users in 2020

Cisco_VNI_2016

Posted in Misc, Statistics | Tagged | Leave a comment

What has @Facebook Wrought: No More Six Degrees of Separation

Facebook_degreesOfSeparation

Facebook:

How connected is the world? Playwrights [1], poets [2], and scientists [3] have proposed that everyone on the planet is connected to everyone else by six other people. In honor of Friends Day, we’ve crunched the Facebook friend graph and determined that the number is 3.57. Each person in the world (at least among the 1.59 billion people active on Facebook) is connected to every other person by an average of three and a half other people. The average distance we observe is 4.57, corresponding to 3.57 intermediaries or “degrees of separation.” Within the US, people are connected to each other by an average of 3.46 degrees.

Our collective “degrees of separation” have shrunk over the past five years. In 2011, researchers at Cornell, the Università degli Studi di Milano, and Facebook computed the average across the 721 million people using the site then, and found that it was 3.74 [4,5]. Now, with twice as many people using the site, we’ve grown more interconnected, thus shortening the distance between any two people in the world.

Note that the original research project concluded that people in the United States, not “the planet,” were separated by about six people on average. See Wikipedia for a summary of Milgram’s small-world experiment and Milgram’s 1967 Psychology Today article (PDF).

Posted in Misc | Leave a comment