Internet of Things in 2025: $3 Trillion Market, 27 Billion Connections

Posted on August 3, 2016 by GilPress

MachinaResearch_IoTapps

M2M Application Groups covered in Machina Research’s M2M Forecast Database

Machina Research:

  • The total number of IoT connections will grow from 6 billion in 2015 to 27 billion in 2025, a CAGR of 16%.
  • Today 71% of all IoT connections are connected using a short range technology (e.g. WiFi, Zigbee, or in-building PLC), by 2025 that will have grown slightly to 72%. The big short-range applications, which cause it to be the dominant technology category, are Consumer Electronics, Building Security and Building Automation.
  • Cellular connections will grow from 334 million at the end of 2015 to 2.2 billion by 2025, of which the majority will be LTE. 45% of those cellular connections will be in the ‘Connected Car’ sector, including both factory-fit embedded connections and aftermarket devices.
  • 11% of connections in 2025 will use Low Power Wide Area (LPWA) connections such as Sigfox, LoRa and LTE-NB1.
  • China and the US will be neck-and-neck for dominance of the global market by 2025. China which will account for 21% of global IoT connections, ahead of the US on 20, with similar proportions for cellular connections. However, the US wins in terms of IoT revenue (22% vs 19%). Third largest market is Japan with 7% of all connections, 7% of cellular and 6% of global revenue.
  • The total IoT revenue opportunity will be USD3 trillion in 2025 (up from USD750 billion in 2015). Of this figure, USD1.3 trillion will be accounted for by revenue directly derived from end users in the form of devices, connectivity and application revenue. The remainder comes from upstream and downstream IoT-related sources such as application development, systems integration, hosting and data monetisation.
  • By 2025, IoT will generate over 2 zettabytes of data, mostly generated by consumer electronics devices. However it will account for less than 1% of cellular data traffic. Cellular traffic is particularly generated by digital billboards, in-vehicle connectivity and CCTV.
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The Digital Ecosystem

Posted on August 2, 2016 by GilPress

Deloitte_digital_eco.jpg

Deloitte_digital_eco_methodoogy.jpg

Deloitte University Press

What is the digital ecosystem? It’s a subset of TMT companies that specialize in the development of hardware, content, and software applications and provide a platform for the creation, distribution, and consumption of content, applications, and services.

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Machine Learning, Artist’s Rendition

Posted on July 30, 2016 by GilPress

[vimeo 176389707 w=640 h=360]

Motherboard:

Jakob Werner, a 22-year-old animator and visual design student in Germany, decided to interpret the idea of machine learning a bit more literally “in order to create a sarcastic view at our society and into the future.”

The result is a wooden automaton that appears to “read” by holding a book, moving its eyes as if scanning the words, and then flipping the page. “The secret behind machine learning,” he wrote in the video’s description. “This is how machines collect data.”

Werner’s artist statement shows he’s thought deeply about this topic, even though his project is tongue-in-cheek.

“Machine learning distinguishes itself from memorisation because it has the ability to recognize patterns which makes the algorithm seem more human-like,” he wrote. “This is essential for machines in order to be considered as artificial intelligence. Though there are a lot of programs and machines that aren’t intelligent but just seem to be. They don’t solve problems, they are programmed to work around them.”

 

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Artificial Intelligence in the Enterprise (Infographic)

Posted on July 28, 2016 by GilPress

AI_enterprise

HT: Inside Big Data

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Pokemon Go Market to Reach $56.8 Billion by 2020

Posted on July 26, 2016 by GilPress

pokemon

MarketsAndMarkets:

According to a new market research report “Augmented Reality Market by Component (Sensor, Display, & Software), Display Type (Head Mounted, Head-Up, Handheld, & Spatial), Application (Aerospace & Defense, Consumer, Commercial), and Geography – Global Forecast to 2020”, the total augmented reality market is expected to reach $56.8 Billion by 2020, at a CAGR of 79.6% between 2015 and 2020.

The augmented reality technology would drive the specialized applications in the diverse fields. The augmented reality was initially developed for the military purpose to train the military personnel.

It would help the military personnel to be aware of the new instruments and weapons. Augmented reality technology is also used in the medical sector to train the doctors and the nurses to help the patients treat better.

The gaming experience has been much more fruitful with the augmented reality being used in generation of the games.

The augmented reality market is expected to exhibit a high growth in the next five years. The use of augmented reality technology in sectors such as aerospace & defense, consumer, and commercial would be high in the coming years.

The applications such as aerospace & defense and automotive would also help boost the augmented reality market.

The presence of major companies such as Google, Inc. (U.S.), Qualcomm, Inc. (U.S.), Microsoft Corporation (U.S.) in the North American augmented reality market is likely to boost the market growth in the region.

The European augmented reality market would follow North America in terms of market growth. The associations such as the EuroVR, the European Association for Virtual Reality and Augmented Reality and the growth of automotive and aerospace & defense sector in the region would help the growth of European augmented reality market.

The Asia-Pacific AR market is likely to be driven by fast-growing commercial sector in the region.

The major market players covered in the report are:

  1. Google, Inc. (U.S.),
  2. Qualcomm, Inc. (U.S.),
  3. Microsoft Corporation (U.S.),
  4. Samsung Electronics Co., Ltd. (South Korea).
The start-ups such as Magic Leap, Inc. (U.S.) are also the ones to look out for in the AR market.
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Print Vs Digital (Infographic)

Posted on July 25, 2016 by GilPress

BooksVSdigital

Brian Wallace:

When you reach for your book at the end of the day, is it paperback or electronic? Though eBooks were slated to overtake print books in 2015 it just didn’t happen. There was a 10% drop in eBook sales and a 2% increase in paper book sales during that time period. Because there are pros and cons to both, most people go back and forth depending on their needs.

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Machine Learning Applications by Industry

Posted on July 22, 2016 by GilPress

machine-learning-apps

Louis Columbus, Machine Learning Is Redefining the Enterprise in 2016

Machine learning’s ability to scale across the broad spectrum of contract management, customer service, finance, legal, sales, quote-to-cash, quality, pricing and production challenges enterprises face is attributable to its ability to continually learn and improve. Machine learning algorithms are iterative in nature, continually learning and seeking to optimize outcomes. Every time a miscalculation is made, machine learning algorithms correct the error and begin another iteration of the data analysis. These calculations happen in milliseconds which makes machine learning exceptionally efficient at optimizing decisions and predicting outcomes.

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The Face of Artificial Intelligence

Posted on July 19, 2016 by GilPress
Facebook_AIservers

Facebook’s new servers for artificial intelligence research, inside the company’s data center in Prineville, Oregon (Source: Technology Review)

Source: Technology Review
[youtube https://www.youtube.com/watch?v=v09-n4buwYE?rel=0]

Source: IEEE Spectrum

 

AI_exmachina

Ex Machina (2015)

Source: MadAboutMovies

AI_ChessPlaying

Source: http://www.lkessler.com/brutefor.shtml

AI_goPlayer

Lee Se-dol, one of the world’s top Go players, won just one of the matches against the AlphaGo program, missing out on the $1 million prize up for grabs. (March 2016)

 

 

 

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AI Safety and Robotics Laws (Infographic)

Posted on July 15, 2016 by GilPress

Robotics_Laws

In July 1984, a factory robot in Jackson, Michigan, crushed a 34 year-old worker in the first ever robot-related death in the United States.  The robot thus violated Issac Asimov’s First Law of Robotics, “A robot may not injure a human being or, through inaction, allow a human being to come to harm,” first articulated in 1942.

In 2008,  Rodney Books predicted: “[In the 1950s, when I was born] there were very few computers in the world, and today there are more microprocessors than there are people. Now, it almost seems plausible that in my lifetime, the number of robots could also exceed the number of people.” He must have had in mind some specific catalysts that will cause rapid acceleration in the proliferation of Robots—at that time (2008), the world’s Robot population stood at 8.6 million.

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Press Mentions of Specific AI Applications

Posted on July 13, 2016 by GilPress

ai-trends_magisterAdvisors

Source: CB Insights; Last accessed 5-Jul-2016.

Magister Advisors:

Specific AI capabilities are particularly strategic and will create immense value to many industries. Predictive analytics, speech and image recognition are the earliest verticals enabled by AI and rightly so because of potential applications in sectors including security, advertising and healthcare. For example, doctors can leverage image recognition and automate the medical diagnosis or a security company can use predictive analytics to detect patterns in DDoS attacks to prevent them in future. A very good indication of AI’s emergence is the much greater visibility across specific application areas; the following graph illustrates the rise of press mentions in the Communication, Security, Advertising, Healthcare and Finance sectors.

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