Category: Internet of Things

Hacking Cars is only the beginning of the security issues

JEEP CHEROKEE CONNECTED CAR HACK ONLY AFFECTS FIAT CHRYSLER: Two weeks ago it was revealed that hackers were able to access a Jeep Grand Cherokee via its infotainment center’s radio and then could control the car from up to a mile way. In response, Fiat Chrysler sent over-the-air and USB plugin updates to 1.4 million of its affected cars. The infotainment radio maker, Harman International’s CEO Dinesh Piwali commented on the hack yesterday and said that no other cars that have Harman infotainment radios installed are at risk of being hacked, according to the Associated Press. Piwali also said that the hacked radio was developed approximately five years ago and that newer models have more advanced safety features. Despite Piwali’s claim that no other systems are at risk, the National Highway Traffic Safety Administration (NHTSA) is still investigating 2.8 million Harman radios.

The true value of IoT enables personalized experiences to a single user, but who keeps the data? #IoT #personalization #bigdata

HOW DATA WILL ENABLE “LIVING SERVICES” IN THE IoT: BI Intelligence recently spoke with Mark Curtis, co-founder of Accenture-owned digital design firm Fjord, about how the IoT will change digital experiences. In a recent report, Fjord argued that the true value of connected devices will be in delivering “living services” that learn and adapt to their users’ preferences and habits over time.

Curtis illustrated the concept with the example of a smart lock on a hotel door, which on its own doesn’t deliver a great deal of value. But when that hotel door is networked with other connected devices in its proximity it can tell who is entering or leaving the room based on the smartphone or device used to open the door. That recognition by the smart lock could then turn other devices in the room on or off and alert the thermostat to set the room temperature to the customer’s preferred setting. 

For that smart lock to deliver such an experience, data needs to be analyzed in the backend to understand the customer and personalize functions to his or her preferences. Curtis detailed three obstacles that enterprises need to tackle to deliver these personalized experiences:

  • Organizations need a platform with the scalability to ingest huge volumes of data that will be created by new connected devices in their networks.
  • To analyze relevant data, organizations will need to know what kind of insights they’re looking to get from their data. Today, a human often has to interpret data to find the most relevant information. That won’t be possible in the future – the exponential increase in the volume of data from more connected devices will require automating that selection process. Organizations will have to know before hand what data to segment out for analysis.
  • Organizations will have to think through how they will change services in real-time based on data. For example, customers will increasingly want to see for themselves all of the data being collected so they too can understand their own behaviors. This is already becoming prevalent with fitness trackers that allow the users to see data regarding their activity levels. Over time consumers will get bored looking at the same data all the time though. So enterprises need to surprise customers by learning what information they’re interested in and then interpret the data to deliver new relevant insights. For example, a fitness tracker could learn when the user’s activity levels typically drop and provide suggestions through a mobile app or web portal on how to be more active during those sedentary periods.

Internet of Things: Where IoT Growth is Coming …

For Internet of Things (IoT) designs, the consumer segment is a sexy siren call, but enterprise applications are where the money is, according to a top analyst from IDC.

Vernon Turner, senior vice president of enterprise systems and IDC Fellow, said consumer whims coupled with volatility among  providers — due to mergers and acquisitions — make IoT far less lucrative in the near term than the enterprise. The latter segment is where companies want to drive more efficiency into their operations and nurture loyalty among customers by leveraging IoT technology.
Turner said that by 2018 the consumer sector will account for 30 percent of the installed base of IoT devices, while the enterprise will account for the rest. However, the consumer sector will generate just 10 percent of the anticipated spend in that year, he noted.
“The real value for IoT is in the enterprise space,” Turner said during an IDC online webinar Thursday (July 23).

http://community.arm.com/groups/internet-of-things/blog/2015/07/23/where-iot-growth-is-coming-from-might-surprise-you?sf39586253=1

Destroying Customer Trust is as Simple as…

If you shopped for a motorcycle, would you ever stop to consider that a Harley-Davidson wouldn’t deliver the power and style that Harleys have come to represent in our collective subconscious? Likely not, because you trust the brand to deliver on its promise of cruising down the open highway with a 100-horsepower engine underneath you.

Every bike Harley manufactures delivers on its brand promise, and as a result, its customers and advocates trust it to continue delivering. This dynamic is the cornerstone of the “trust economy,” a term coined by Rachel Botsman in a 2012 TED Talk. Positive interactions with a brand result in building trust. Negative interactions result in erosion of trust.

Understanding and joining this trust-based economy is relatively simple in concept: deliver on your brand’s promises to your customers. They key, according to Ray Wang, analyst for Constellation Research, is building trustworthy brand experiences—and not engaging in activities that destroy trust.

“You’re not competing with other companies; you’re competing for time and attention,”says Wang. “And that competition is for experiences and outcomes.” When a customer’s experience and the outcome of an interaction deliver on the brand’s promise, that builds trust.

Wang cites Airbnb, a digital startup whose entire value proposition has become a model for the trust economy. “Airbnb doesn’t sell rooms. They don’t sell nights. Their entire value is as a trust network.” Customers can trust the rooms they rent, and landlords can trust customers, for the same reasons: the compounded outcomes of past experiences on both sides. Customers and landlords both review interactions, building positive (or negative) trust profiles on both sides.

So how does a business compete in this trust-based economy? Deliver on your brand promises, Wang says. Here’s how in five simple steps.

Personalize experiences. Know who your customers are and what they want, and create experiences for them that deliver on your brand’s promises. For every interaction that accomplishes this, you build trust.
Operate with transparency. “Always operate with an understanding that everything eventually becomes public,” Wang says. That way nothing inadvertently sabotages your efforts.
Build credibility. Wang outlines a series of questions to ask: do you promote trustworthiness through external certificates? Do you promote trust through customer testimonials? Do you run truthful marketing campaigns? These seem simple, but if the answer is “no,” you’re damaging your customers’ trust.
Make it easy to complain. Companies often turn away from customer complaints, but Wang explains, they serve double duty: they’re data points about where you’re failing, and offer the ability to complain (and to feel heard) actually builds customer trust.
Guarantee satisfaction. The natural corollary to offering a forum for complaints—and delivering on the brand experience—is making sure that you can always guarantee a customer will be satisfied.
The trust economy can be hard to navigate, especially for companies that aren’t familiar with the principles of providing great customer outcomes and experiences. For those companies looking to avoid being left behind by the companies already offering these experiences, a great place to start is Ray Wang’s entire webinar, available on demand.

https://community.dynamics.com/b/msftdynamicsblog/archive/2015/06/17/destroying-customer-trust-is-as-simple-as-avoiding-these-5-easy-tips?CR_CC=200470740&WT.mc_id=DynGB_en_us_media_OUT_RW1TrustEconOut1_Blog&DYNCRM-DISP

KT, Nokia Networks launch first IoT lab in Korea – FierceWireless:Europe

KT has joined forces with Nokia Networks to set up what it describes as Korea’s first Internet of Things (IoT) lab in a bid to help the South Korea-based operator fulfil its goal of becoming “the number one player in Korea’s IoT market”.

The lab will provide IoT-related technical expertise and knowledge to small and medium-sized partner companies to help foster a connected digital ecosystem.

This initiative is based on a memorandum of understanding (MoU) signed by both companies during this year’s Mobile World Congress (MWC). KT and Nokia Networks also agreed to implement the world’s first LTE-M field trial for the interconnection of sensors by the fourth quarter of this year.

http://www.fiercewireless.com/europe/story/kt-nokia-networks-launch-first-iot-lab-korea/2015-07-20?utm_medium=nl&utm_source=internal

The Data of IoT will be worth more than any hardware or service #IoT #intel #broadcom #google #facebook (yes, facebook)

Thank you, Business Insider. Always great weekend reading!

NTERNET OF THINGS AND DATA CENTERS LIFT INTEL IN Q2: US chipmaker Intel has historically relied on sales of its PC processors to generate the lion’s share of its revenue. While PCs still account for the largest piece of Intel’s net revenue pie, the steep decline of PC shipments have hurt Intel revenues. PC shipments dropped to 66.1 million in Q2 2015, the second consecutive quarterly shipments decline.

In the wake of PC’s deceleration, Intel is looking to expand its chip offerings to power other types of devices, and the Internet of Things (IoT) and data centers are becoming critical to that strategy, according to Intel’s Q2 2015 earnings report.

  • Revenues from PC processors are decaying quickly. Revenue from the PC division shrank by 14% YoY. Despite this significant YoY decline sequential PC-generated revenue did see a 2% uptick.
  • Data centers and the IoT are the key segments of growth for Intel. Both categories saw strong YoY and sequential revenue growth (see chart, below).
  • Data centers and IoT are starting to account for larger shares of Intel’s total revenues, underscoring the growing importance of these divisions. The IoT made up 4.2% of net revenue in the most recent quarter, up from 3.9% in Q2 2014. Data centers ticked up from 25% of net revenue in Q2 2014 to 29% in Q2 2015. 
  • Conversely, PC’s share of total revenue is shrinking. The category shrank from 63% of total revenue in Q2 last year to 57% in the most recent quarter.

While the slowdown of the PC division of Intel is telling for the chip industry, perhaps the most important takeaway from the company’s earnings call was not the company’s ability to sell chips to certain divisions, but rather the increasing challenge in how to make the chips themselves. Intel announced that it was expanding the 2-year chip release cycle it has used so far to 2 and a half years. Subsequently, Intel will release a third round of its 14 nanometer chips before pushing 10nm chips to the consumer market. Intel’s 10nm chips, which were originally expected to hit the consumer market in 2016, will be pushed to mid-2017 at the earliest.

Intel’s longer chip production timeline suggests that as each chip iteration becomes more advanced, it’s increasingly challenging for companies to innovate quickly enough to make exponentially better products in a 2-year timeline. In the near-term this means that the rapid advancement of mobile technologies will see a subtle slow down. In the long term is means that after the industry reaches a viable 5nm chip sometime around 2026, advancements in processors will likely slow considerably.

PHABLETS TO OVERTAKE TABLETS SHIPMENTS IN 2015: A stagnating tablet market and surging consumer adoption of large-screen smartphones, referred to as “phablets,” will propel global phablet shipments ahead of tablets for the first time this year, according to a new report from IC Insights. Phablets, which combine the functionality of a smartphone and a tablet, have been cannibalizing tablet sales for a few years, and the release of the large-screen iPhone 6 Plus has helped further catalyze this trend.

  • Phablet shipments are set to grow by 66% this year to reach 252 million units. This growth will be helped along by the launch of Apple’s newest version of the iPhone 6 Plus in September and Android’s newest Galaxy Note sometime in August.
  • Tablets are expected to see shipments growth of just 2% to reach 238 million units in 2015, up slightly from the 234 million tablets shipped in 2014.
  • Phablets are cannibalizing smaller smartphone shipments, too. IC Insights predicts phablets will account for 17% of all smartphone shipments this year, and that share will increase to 21% in 2016 and 30% in 2018. 

The phablet category is expected to continue expanding its lead over the tablet category through 2018, when phablet shipments will be more than double that of tablets, according to IC insights.

The data corresponds with another report showing growth in “active users” on phablets. As shipments have risen, phablets have been slowly winning share of all active users from other mobile device categories, according to a separate report from Flurry (see chart, below). While just 3% of active mobile users globally were on phablets in February 2013, that share had jumped to 20% just over two years later, in March 2015. Phablets stalled the active user share growth of small tablets and shrunk that of medium and small phones as well as full-sized tablets.  It’s expected that the phablet device category will continue to increase its share of all active users as more smartphone users on both Android and iOS upgrade to large-screen devices.

CHEAP SMARTPHONES DRIVING ADOPTION IN MIDDLE EAST AND AFRICA: The Middle East and Africa (MEA) region saw smartphone shipments grow by 66% year-over-year (YoY) in Q1 2015 to 36 million units, an uptick that puts the region on track to see 155 million smartphone shipments this year, according to the IDC. MEA’s big Q1 was partially assisted by a significant portion of feature phone consumers upgrading to smartphones.

  • Smartphone shipments are overshadowing feature phone shipments. Smartphones accounted for 63% of all mobile phones shipped in the Middle East in the quarter, and 47% of all mobile phones shipped in Africa in the same period.
  • Feature phones are fading. These more basic devices saw a 20% decline in shipments YoY and are forecast to shrink to 27% of all MEA handsets in 2019.

Android is faring particularly well as smartphone penetration expands in MEA. The Android platform accounts for 80% of device shipments in the Middle East and 89% of shipments in Africa. Apple’s iOS devices, on the other hand, account for 17% and 7% of shipments, respectively. The affordability of Android devices is a big part of the platform’s success in the MEA region; phones priced under $200 accounted for 36% of the phone market in the Middle East in Q1 2015, a price bracket that’s dominated by devices running Android. This breakdown highlights Android’s enormous opportunity in emerging markets, where Apple’s high-end devices are cost prohibitive.

MICROSOFT TO EXPAND SURFACE DISTRIBUTOR COUNT BY THOUSANDS: Microsoft plans to expand the number of partners that can distribute its Surface 2-in-1 tablet from a few hundred to somewhere in the thousands, the company announced during its Worldwide Partner Conference Monday. The company is chalking up the need for significant channel expansion to strong demand for the Surface Pro 3, the Surface 3, and the Surface Hub. More importantly, Microsoft anticipates that, on top of this preexisting momentum, demand for these devices will see a significant upswing from the impending release of Windows 10.

This is a significant uptick at a crucial time. Microsoft had just 20 Surface distributor and reseller partners last fall and, at that time, industry players blamed Microsoft’s limited distributor approach for its failure to break into the enterprise market early in the Surface’s release. Microsoft’s decision to address this shortcoming now is well-timed: While the tablet market as a whole has stagnated over the past few quarters, shipments of 2-in-1 devices, which appeal to the enterprise, are expected to grow, a fact that Microsoft is going to leverage. If past sales figures are any indication, Windows tablet sales will be particularly strengthened by the addition of so many more distributors:

  • Microsoft alone shipped more than 2 million Windows tablets in Q4 2014, a quarter in which Windows tablets as a whole – including from Microsoft and other Windows tablets sellers – shipped 6 million units and accounted for 9% of the tablet market. 
  • Even if shipments of third-party Windows tablets just hold steady, Microsoft-branded tablets such as the Surface product line will see a big lift from such drastic distributor growth.

While these software, hardware, and partnership developments suggest that prospects look good for Microsoft’s tablet line, the company must still win back market share from Apple, which currently holds ~30% of the tablet market (see chart, below). Apple’s hold on the industry will be difficult to loosen, especially because the company is expected to launch its long-rumored large tablet (unofficially referred to as the iPad Pro) this fall, and the company’s partnership with IBM to make enterprise apps gives it extra appeal to businesses.

EMPLOYEES WANT TO KEEP PERSONAL AND BUSINESS ACTIVITIES ON MOBILE SEPARATE: The practice of using personal devices for business purposes, formally known as bring your own device (BYOD), has become increasingly popular, and businesses are struggling to keep pace. The large majority of employees in the US, UK, and Spain want to keep their personal and business tasks and communications separate, according to new data provided to BI Intelligence by telecom-web convergence company tyntec. Despite the high degree to which employees use mobile devices outside of the office, few businesses have satisfactory, if any, official BYOD policies. Here are some problematic areas highlighted by the data:

  • Nonreimbursed expenses are a big concern for employees who opt to BYOD. Less than half of all employees in the surveyed markets receive reimbursement for work-related use of their personal phones.
  • Most employees spend a significant amount of time completing work-related tasks on mobile devices outside of working hours. In the US, 37% of employees spend more than 10 nonoffice hours completing work-related tasks on mobile. That share stands at 19% in the UK and 38% in Spain.
  • Companies that have BYOD policies, and employees who complete work-related tasks on personal mobile devices without official BYOD policies, are unlikely to have or encourage the use of business apps. Just 5% of US employees using their personal devices for mobile work tasks use business apps. This likely reflects a dearth of work-related apps created by companies with BYOD policies.

Notably, while more than half of US consumers use their personal phones for work in some capacities, just 34% of these employees work for companies that have BYOD policies in place. At the same time, 74% of US employees would ideally choose to have two separate phones for work and personal use, or one phone with two separate numbers. This highlights the gap between how employers are approaching BYOD work environments and what employees need in them.

PC MARKET CONTINUES DECLINE: PC shipments continued their sharp decline in Q2 2015 after a rough first quarter, according to the latest report from the IDC. Shipments dropped to 66.1 million in Q2, down from 68.5 million in Q1, which had previously been the lowest PC shipment volume in recent history.

  • This shipment drop represents a decline of -11.8% year-over-year (YoY).
  • The US market saw 16.4 million PC shipments in the quarter, representing a YoY decline of -3.3%. 
  • Apple is the only vendor to have grown its PC shipments YoY, according to the IDC’s data.
  • Oddly enough, Apple doesn’t make the top 5 vendors in competing research firm Gartner’s PC report.

Numerous factors such as inventory reductions related to the impending release of Windows 10, longer PC lifecycles, and uncharacteristically strong sales in Q2 2014 have resulted in the steep growth decline. The PC market is likely to somewhat stabilize in 2016, though it’s expected to continue its decline through the rest of 2015.

FORMER DIGG & EQUINIX CO-FOUNDER STARTS IoT FUND AS IoT FUNDING GROWS

: Jay Adelson, the co-founder of news aggregator Digg and data center Equinix, has raised $50 million for his new IoT venture capital fund named Center Electric, according to Fortune. The company has already invested in 11 IoT startups including August, Parkifi, and PaperSpace.

Investments in IoT startups have gone up steadily from $34 million in 2010, to $341 million at the end of 2014, according to data from CrunchBase. As the IoT ramps up, and startups begin releasing new IoT products, more venture capital firms, like Center Electric, will pop up and existing venture capital firms will likely look for funding opportunities.

The Backed Pack: Sphericam 2 opens the next round of VR capture tools | VentureBeat | Gadgets | by Ross Rubin

The recent explosion of interest in virtual reality poses a problem that’s long been associated with new media: a dearth of content. The original Sphericam 360-degree video camera sought to answer that call a few years ago. It received more than three times its Kickstarter funding goal in 2012, raising more than $34,000.

http://venturebeat.com/2015/07/12/the-backed-pack-sphericam-2-opens-the-next-round-of-vr-capture-tools/

Pattern Of Life (POL) Analytics for IoT minded businesses

Conducting Pattern of Life (POL) Analytics on Big Data generated by the IoT.

Every so often a buzzword or phrase in information security discourse surfaces from the infosec jargon din into broader public consciousness. One such buzz phrase is “pattern of life” analytics (POL). POL, to vastly simplify the definition, is a computerized data collection and analysis method used to establish a subject’s past behavior, determine its current behavior, and predict its future behavior. The number and type of data points that go into this analysis, particularly as it pertains to humans as the subject, have been increasing exponentially over the last decade.  The technique can but does not necessarily involve artificial intelligence (AI) and machine learning. The implications of this predictive analytical method in the context of the Internet of Things (IoT) are far-reaching for both governments and businesses. With the recent estimates of IoT financial impact being in the trillions of dollars, Big Data is getting exponentially bigger and data analytics is becoming increasingly important and complex. The privacy/data protection aspects of POL bear closer examination because the laws and regulations are rapidly-changing. POL analytics sounds, well, analytical. It is essentially another term for “profiling”. But the data points available to create POL profiles now are increasingly numerous and intimate than older forms of profiling (thanks in large part to IoT proliferation), the data analytics are far more sophisticated, and the uses to which POL analytics.

Deeper Dive: POL Analytics

POL analytics is an imprecise term that was first used in social sciences including psychology and anthropology. The term has been used in data analytics for decades or more, primarily in the context of spatial analytics, including location analytics.  Pattern of life data analytics didn’t go truly mainstream until September 2013, when The Guardian headlined how NSA’s “Marina” metadata application “offers the ability to export the data in a variety of formats, as well as create various charts to assist in pattern-of-life development.” On the same day The Guardian released that report, Tech Dirt, Slash-Gear and The Register discussed The Guardian’s report of that data mining technique. The next week and sporadically thereafter, scores of other publications followed suit. Most recently, in late May, POL analytics again made headline news, when The Intercept published an article about the also-published NSA document, “Medical Pattern of Life: Targeting High Value Individual #1,”. That document discusses data analytical methods being used to track Osama Bin Laden. Also in May, it discussed the NSA SKYNET program, which as defined in the Snowden-leaked document trove, included the NSA document entitled SKYNET: Applying Advanced Cloud-based Behavior Analytics, which discusses how the SKYNET program “applies complex combinations of geospatial, geotemporal, pattern-of-life, and travel analytics to bulk” DNR (phone) data to identify patterns of suspect activity”.  By its description, XKEYSCORE, another NSA program, also performs POL analytics, but on internet (DNI) data.

POL and IoT

POL analytics is not restricted to military applications, although the recent uses of the term generally derive from military documents, specifically those of the NSA .  As mentioned, the closest, most popular analogous term is “profiling”.  The first highly-publicized incident of commercial application of computerized consumer profiling was Target, Inc.’s use of collected and (allegedly) purchased information about customers, first reported by the 2012 New York Times. The reported incident was about use of the information to focus marketing efforts on women it had identified as likely to be pregnant. Based on its data analytics, Target had sent pregnancy-related information to a high-school girl at her residence, also the residence of her parents. The angry father complained to Target, and then followed up with his daughter,  about whom he had not yet been informed that she was indeed pregnant.  That incident is an early, classic case of POL intelligence that illustrated the point that consumers do not welcome evident invasions of their privacy. This Target case could be considered to be classic POL analysis, or profiling. The private corporate and individual aspects of profiling and business/privacy have not, as is well-publicized, been lost on the legal community. Thousands of articles, both scholarly and mainstream, have been written on the topic. This discussion has intensified as a result of the IoT and the massive privacy challenges it raises. The Intercept’s article about “medical pattern of life” highlights in an odious way one of the key targets of IoT developers and inflames one of the deepest concerns of the public.  In an IoT/consumer privacy survey released this week, 45% of the surveyed consumers had a low level of trust in companies that collect IoT, and 35% trusted those companies only “somewhat”.

Privacy/Data Protection

The privacy aspects of the IoT have also been the subject of too many governmental and organization reports to begin to mention. The following are some highlights. This paper by the Electronic Privacy Information Center (EPIC), submitted during the Federal Trade Commission’s 2013 hearings on the IoT and privacy, details numerous privacy problems raised by the IoT, including wireless radio technologies (WiFi, Bluetooth, RFID and others) as well as the new internet protocol, IPv6 , and GPS communications. In January of this year, the FTC issued its report, Internet of Things: Privacy and Security in a Connected World.  The FTC also published a business guide, Careful Connections: Building Security in the Internet of Things. Privacy (referred to in Europe as data protection) is still governed by the antiquated (1995) Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data (Directive). All interested parties recognized that it was time for a change.  In 2012, the European Commission issued a Proposal for a Regulation on the protection of individuals with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation, or GDPR), which is still being negotiated. When passed, the GDPR will replace the Directive and be self-implementing. That is, unlike the Directive that required national laws to be effective, the GDPR becomes directly binding. Article 20 of the GDPR specifically governs profiling, including in Article 20, profiling that impacts the legal rights of, or results in discrimination against, “data subjects”. Article 20 also tasks the European Data Protection Board to issue guidelines, recommendations and best practices in connection with profiling. In September 2014 the Article 29 Working Party (an independent advisory board established by the Directive) issued Opinion 8/2014 on the on Recent Developments on the Internet of Things. In March 2015 the European Commission initiated the creation of the Alliance for Internet of Things Innovation (AIOTI). The Digital Single Market (DSM), was adopted in May 2015, a move the Commission believes “leads Europe a step further in accelerating developments on IoT.” But beware: the FTC and the European Data Protection Supervisor (EDPS) still have their sights firmly set on data protection, and on July 9, 2015, the EDPS declared its intent to focus on business models whose fuel is represented by the collection and the profiling of personal data.”

Businesses can expect the intense governmental scrutiny on and governance of data analytics (whether it is called “profiling” or POL) and legal compliance to intensify even more in the months ahead.

http://www.forbes.com/sites/lisabrownlee/2015/07/10/the-11-trillion-internet-of-things-big-data-and-pattern-of-life-pol-analytics/

Where in the world is #IoT ?

In a recent report on Digital Life in 2025, the Pew Research Center’s Internet Project predicted that the internet would soon become a “global, immersive, invisible, ambient networked computing environment built through the continued proliferation of smart sensors, cameras, software, databases, and massive data centers in a world-spanning information fabric known as the Internet of Things.”

Like big data and the smart grid, the Internet of Things (IoT) concept has become a buzz word in the technology trade press. The IoT is predicted by many technology experts to be as – if not more – transformational than the internet itself on the way we live.

Apparently, nobody bothered to mention this to the folks out in Silicon Valley.

According to an analysis by the United Kingdom’s Intellectual Property Office, Apple ranks 27th on the list of global companies with the most IoT inventions between 2004 and 2013. Indeed, Google, the search engine giant based in Mountain View, CA, ranked 84th on the list. This may explain why Google recently acquired the pioneering home automation company Nest Labs for $3.2 billion.

The Intellectual Property Office sliced and diced tens of thousands of international IoT patents between 2004 and 2013. As you likely expected, the analysis showed that IoT patenting activity is exploding. The average number of IoT patents published annually rose by more than 40% between 2004 and 2013 compared to an average 6% annual increase in patents for all other technologies.

A second and more intriguing finding of the analysis is that companies as opposed to countries are driving the IoT revolution. For instance, Finland and Sweden are leading inventors in the IoT space despite comparatively low absolute levels of inventing activity. The reason is simple. Ericsson is based in Sweden and Nokia is based in Finland.

Nevertheless, the hands downs dominant innovative force in the IoT space is ZTE, a Chinese telecommunications company. ZTE had the most inventions of any company in the IoT patent landscape between 2004 and 2013, according to the UK Intellectual Property Office.

Here is a list of the top 20 companies with the most IoT inventions between 2004 and 2013:

ZTE (China)
LG (Korea)
Samsung (Korea)
Ericsson (Sweden)
IBM (USA)
Sony (Japan)
Intel (USA)
Somfy (France)
Qualcomm (USA)
Huawei (China)
ETRI (Korea)
KT Corporation (Korea)
Nokia (Finland)
Alcatel Lucent (France)
General Electric (USA)
Microsoft (USA)
CATR (China)
Interdigital (USA)
Toshiba (Japan)
Renesas Electronics (Japan)
Based on this list, the United States seems like a relatively small player in the IoT space.

This article was written by William Pentland from Forbes