64 Healthcare IoT Startups and Market Landscape

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CB Insights:

Investor interest in IoT startups working in healthcare has grown hand-in-hand with the broader boom in digital health.

Increasingly, Internet of Things startups are finding new applications within healthcare and leveraging connected sensors to better diagnose, monitor, and manage patients and treatment. Many are focused on clinical-grade wearables to more robustly track patient data, while others see opportunity for sensor networks within hospitals and practices to optimize healthcare delivery and monitor patient adherence.

We broke down the healthcare IoT into the following categories:

Clinical efficiency

This category included startups that are using connected objects to improve the delivery of healthcare in hospitals and clinics, and also track treatments to boost the effectiveness of healthcare providers. Augmedix and Obaa, for example, enable smartglass wearables like Google Glass to be used for healthcare charting. And Simplifeye harnesses the Apple Watch for doctors to track patient visits and access EMRs. Others like Awarepoint use IoT sensors for location-tracking on patients and medical equipment in real-time, in what they call location-as-a-service. AdhereTech, another startup here, is a connected pill bottle that tracks medicine adherence.

Clinical-grade biometric sensors/wearables

Companies here were focused on connected biometric sensors for use in a clinical or hospital setting, and some companies in patient care (such asEarlySense and Monica Healthcare) have FDA approval. Quanttus, MC10, and others are developing clinical-grade wearables that are on the road to FDA approval. Other clinical IoT equipment included Eyenetra, a smart phone-enabled “auto-refractor” for vision testing.

Consumer/home monitoring

This group of companies develop technology marketed to consumers for the collection of biometric information. Startups in this space range from addiction cessation tracker Chrono Therapeutics to the smart thermometer made by Kinsa. Also included were monitoring systems like Qardio andAliveCor, which allow for ECG (electrocardiogram) testing to be done from home.

Brain sensors/neurotechnology

This was mostly comprised of startups trying to hack the brain with high-tech consumer-targeted cranial wearables. Ybrain and InteraXon (with its brain-sending headband, marketed as Muse) read brainwaves, and Thync transmits mood-elevating neurosignals.

Others, such as Neurovigil, are more clinical-grade projects focused on noninvasive neurotech (brain wave reading/recording) in order to analyze drug efficacy and track neuropathology. Neurovigil raised a Q2’15 Series A from Draper Fisher Jurvetson and entrepreneur Elon Musk, among other investors.

Fitness wearables

These were fitness tracking consumer wearables or smart apparel such as Lumo and OMsignal.

Sleep monitoring

Companies here were focused specifically on sleep tracking. Two examples in the space included Hello and Beddit.

Infant monitoring

Wearable technology that tracks infant movements and vitals. Companies here included Owlet and Sproutling, among others.

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Google: Self-Driving Cars are Both 3 and 30 Years Away

[youtube https://www.youtube.com/watch?v=Uj-rK8V-rik?rel=0]

IEEE Spectrum:

In 2011, soon after Google first told the world about the robocars it had secretly been developing, it promised that the vehicles would be able to “drive anywhere a car can legally drive.” Its timeframe for delivering the technology was generally understood to be in the neighborhood of five years. For example, in a 2014 Wall Street Journal article, project director Chris Urmson was quoted as saying he was hoping “to field a fully autonomous car” by the end of the decade.

But last week in a speech at Austin’s South-by-Southwest, Urmson for the first time told a different story about both the delivery date and capabilities of its first self-driving cars.

Not only might it take much longer to arrive than the company has ever indicated—as long as 30 years, said Urmson—but the early commercial versions might well be limited to certain geographies and weather conditions. Self-driving cars are much easier to engineer for sunny weather and wide-open roads, and Urmson suggested the cars might be sold for those markets first.

Urmson put it this way in his speech. “How quickly can we get this into people’s hands? If you read the papers, you see maybe it’s three years, maybe it’s thirty years. And I am here to tell you that honestly, it’s a bit of both.”

He went on to say, “this technology is almost certainly going to come out incrementally. We imagine we are going to find places where the weather is good, where the roads are easy to drive — the technology might come there first. And then once we have confidence with that, we will move to more challenging locations.” [Urmson explains the projected rollout at about 28:00 in the video above.]

 

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The Robots Are Coming: Funding and Spending Doubling

CBInsights_robotics_yearly_funding

CB Insights:

Funding to private robotics companies nearly doubled in 2015, reaching a record high in deals and dollars… Our robotics category excludes drones, but includes robotics companies focused on process and manufacturing automation, agricultural automation, surgical applications, and personal/social robots. Together, the companies have raised more than $1.4B in cumulative funding since 2011.

The highest funded round in 2015 was a $150M growth equity round raised by Auris Surgical Robotics, which is backed by investors including Lux Capital, Mithril Capital Management and NaviMed Capital.

Except for a 2013 slowdown in the rate of growth, robotics deals have been nearly doubling year-over-year.

Hizook (including drones):

2015 was an insane year for robotics companies; they raised $922.7M in VC funding — 170% more than in 2014. I’m almost certain that it exceeds $1 Billion, especially if you account for funding events in Asia (opaque to me) or if you take into account companies at the periphery of robotics (sensing, software, 3D printing, etc). Similar to previous years, a large portion of the funding went to medical companies and drone companies, but we also saw a lot of late-stage consumer robot financings this year (such as Jibo and Sphero) — but comparatively few agricultural or service robots. Still, I think it’s safe to say: 2015 was the year of the robotics startup!

[Funding in $Million]

Auris Surgical  $150   Drone Deploy $9  DJI $75  Wonder Workshop $6.9

3D Robotics  $64   Bionik Labs $6.2   Aeryon Labs $60

Squadrone Systems $5  Yuneec Electric $60  PetNet $4

Jibo  $52.3  Sky Futures  $3.8  Sphero $45   Gamma2 Robotics  $3.5

Zymergen  $44  RightHand Robotics  $3.3  EHANG  $42.0

Osaro  $3.3  Rethink Robotics  $40  Naio Technologies $3.3

GreyOrange Robotics  $30  Soft Robotics  $3  Medrobotics $25

RoboCV  $3  Xenex  $25  SkySpecs  $3

CyPhy Works  $22  Rapyuta Robotics $3  Fetch Robotics  $20

Harvest Automation $2.9  Blue River Tech.  $17  SynTouch $2.5

Peloton Technology $17  Flyability  $2.5  Lily Robotics $14

Dronomy $1.5  Cruise $12.5  Catalia Health  $1.5

Zimplistic $11.5  Mobile Indust. Robots  $1.4  Clearpath Robotics $11.2

Dash Robotics  $1.4 Virtual Incision Tech  $11.2

IDC

International Data Corporation (IDC) has identified robotics as one of six Innovation Accelerators that will drive digital transformation by opening new revenue streams and changing the way work is performed. In the new Worldwide Commercial Robotics Spending Guide, IDC forecasts global spending on robotics and related services to grow at a compound annual growth rate (CAGR) of 17% from more than $71 billion in 2015 to $135.4 billion in 2019. The new spending guide measures purchases of robotic systems, system hardware, software, robotics-related services, and after-market robotics hardware on a regional level across thirteen key industries and fifty-two use cases. …

Not surprisingly, worldwide robotics spending is dominated by the discrete and process manufacturing industries, which represented 33.2% and 30.2% of total spending in 2015, respectively. Resource, healthcare, and the transportation industries are the next three largest commercial industries in terms of overall robotics spending. Process manufacturing and healthcare are two of the fastest growing industries, with worldwide spending in each forecast to nearly double by 2019.

From a technology perspective, worldwide spending on robotics systems, which includes consumer, industrial, and service robots, is forecast to grow to nearly $32 billion in 2019. However, services-related spending, which encompasses applications management, education & training, hardware deployment, systems integration, and consulting, will grow to more than $32 billion in 2019, overtaking robotics systems and becoming both the largest and fastest-growing category of spending by the end of the forecast. Total spending on system hardware (servers and storage) and software (command & control, network infrastructure, and robotics-specific applications) will grow nearly as fast as services spending.

The Asia/Pacific region including Japan accounts for more than 65% of total robotics spending throughout the forecast. Europe, the Middle East, and Africa (EMEA) is the second largest region with expenditures of $14.6 billion in 2015, followed by the Americas with 2015 spending totals of $9.7 billion. Robotics spending will nearly double in Asia/Pacific over the 2015-2019 forecast period, making it the fastest growing region followed by the Americas.
[youtube https://www.youtube.com/watch?v=W0_DPi0PmF0?rel=0]

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56 Smart City Startups

CBInsights_Startup-Smart-City

CB Insights:

These are some of the segments that these startups are attacking:

  • Parking – Startups are improving the efficiency with which we park our cars, doing everything from booking (ParkWhiz), parking analytics (Parkifi), and smart metering (MeterFeeder).
  • Grid/Energy – These companies are using analytics, algorithms, and connectivity to keep supply and demand for electricity in balance.
  • Data-Driven Urban Planning – These companies are providing access to new, hyperlocal data about our cities and helping planners understand neighborhood needs better.
  • Smarter Transport – Startups that are making our existing transport smart (Zubie, Vinli), creating new smart vehicles (Ather Energy), new public transit options powered by data (Bridj, Shuttl), or smart bike-sharing programs (Zagster).
  • Environmental Sensors – Companies that are developing hardware to better understand our urban environment, from weather data, to pollution, to ambient sound.
  • Connectivity – Startups that are using different means to provide internet, connections, and infrastructure for new networks.
  • Waste Management – Using data and connected devices to optimize waste collection.
  • Traffic/Transit Data – Private companies that are using mobile and sensors to provide analytics around commutes and congestion.
  • Water Usage/Quality – Tools that help to analyze the traffic of water in our cities.

Wired:

Every week, it seems, another city announces plans to become the next “smart city,” be greener than Kentucky bluegrass, and get hitched up to the Internet of Things. But what exactly makes a metropolis a truly intelligent and connected one? Is it employing a chief data officer? Installing sensors in every traffic light and parking space and adding a few more nodes to the Internet of Things? Building apps that make it easier for citizens to access public services?

This summer Google announced the launch of Sidewalk Labs, a venture with the nebulous mission of improving city living through technology. IBM, Cisco, and Intel have launched similar smart-city platforms—grids that will connect all of the data that municipalities generate from Internet-connected devices. With urban populations around the globe projected to double by 2050, new connected technologies promise to make cities more sustainable, cleaner, safer, and more vibrant.

 

 

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125 HR Tech Startups and Market Landscape

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CB Insights:

HR tech startups have seen considerable momentum, raising $2.4B in 2015.

The breakdown is as follows:

  • Recruiting Tools: This was the largest category in the market map. It includes company-information service GlassDoor as well as Hireology. This section includes Applicant Tracking as a sub category and countsGreenhouse Software in the section, among several others.   
  • Recruiting Marketplaces & Job Search Platform: Companies in this category include short-term job matching marketplace Jobbatical and job search engine Simply Hired. These startups are making it easier to find, post, and search for employment, among other things.
  • Recruiting: Contractors/Freelancers: Startups in this category are addressing on demand workers and part-time freelancers. Examples include HourlyNerd, which connects small- and mid-sized businesses to part-time consultants as well as HR software company, PeopleMatter.
  • Operations Management: HR outsourcing software OneSource Virtual is one of the more well-funded companies in the category, having raised $165M in funding to date. Companies here are addressing payroll, benefits, and other services.
  • HR Insurance/Benefits: Companies here are either brokering health insurance via HR and payroll software channels or helping insurance brokers modernize their operations. The category includes Gusto and Namely, which have raised $136M and $103M in funding to date, respectively.
  • Employee Perks: Startups here include employee reward software Bonusly, which counts FirstMark Capital and Bloomberg Beta as investors. This is the smallest category in the market map.
  • Culture & Productivity: Companies here measure, quantify, and improve employee culture and productivity through technology. The category includes company culture startup CultureIQ as well as Culture Amp, which uses analytics to provide insights on employee engagement and company culture.
  • Select HR Tech Exits: Notable exits in HR tech include Workday and job-search site Indeed, which exited for $4.4B and $1.4B, respectively.

CBInsights_HR.tech_annual.deals

 

 

 

 

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65+ US population to grow from 48 to 88 million by 2050

Aging World

America’s 65-and-over population is projected to nearly double over the next three decades, ballooning from 48 million to 88 million by 2050. However, the U.S. Census Bureau projects the U.S. population will age at a slower rate compared with other countries.

Worldwide, the 65-and-over population will more than double to 1.6 billion by 2050, according to An Aging World: 2015. This new report from the Census Bureau examines the continuing global aging trend and projected growth of the population age 65 and over, with an emphasis on the differences among world regions.

In 2015, 14.9 percent of the U.S. population was 65 or over.

“The United States was the 48th oldest country out of 228 countries and areas in the world in 2015,” said Wan He, a demographer on population aging research at the Census Bureau. “Baby boomers began reaching age 65 in 2011 and by 2050 the older share of the U.S. population will increase to 22.1 percent. However, the U.S. will fall to 85th because of the more rapid pace of aging in many Asian and Latin American countries.”

Japan is the current oldest country in the world and will retain that position in 2050.

“However, South Korea, Hong Kong and Taiwan are projected to overtake Germany, Italy and Greece for second, third and fourth place by 2050,” He said.

Some countries, including China, India, Indonesia, Brazil, Colombia and Cuba, will experience a quadrupling of their oldest-old population, those 80 and over, from 2015 to 2050.

While Europe is still the oldest region today and is projected to remain so by 2050, aging in Asia and Latin America has accelerated in recent decades. Asia is also notable for leading the world in the size of the older population with 341 million people 65 and older. On the other hand, Africa remained young in 2015, where only 3.5 percent of the total population was 65 and over.

Other highlights:

Employment

·        Labor force participation among the older population continues to rise in many developed countries, yet remains highest in low-income countries.

·        The last recession had a major impact on unemployment rates and financial assets among many older people in more developed countries. However, the trend of rising labor force participation rates among the population age 60 and older in these countries was not halted.

Retirement

·         Eligible ages to receive pension benefits vary widely across countries, yet tend to lump at particular ages, such as 60 and 65.

·        A number of European countries and the United States are gradually increasing their age eligible to receive a full public pension to 67.

·        More than 90 percent of the older population receives a pension in more developed countries, such as Japan, the United States, Australia and Italy.

·        In contrast, public pensions cover less than a third of the older population in China and a 10th of those in India, the two countries with a total population of more than a billion each.

·        Public pensions can drastically lower poverty rates for the older population. In Latin America and Caribbean countries, for instance, the average poverty rate of those receiving a pension is 5.3 percent, one-fifth of the average poverty rate of those not receiving pensions (25.8 percent).

Life expectancy and health

·        Global life expectancy at birth was 68.6 years in 2015 and is projected to rise to 76.2 years in 2050.

·        The population age 80 and over has been growing faster than the population of people between ages 65 and 79 because of increasing life expectancy at older ages.

·        Among the older population worldwide, noncommunicable diseases are the main health concern. In low-income countries, many in Africa, the older population faces a considerable burden from both noncommunicable and communicable diseases.

  • Risk factors, such as tobacco and alcohol use, insufficient consumption of vegetables and fruit, and low levels of physical activity, directly or indirectly contribute to the global burden of disease. Changes in risk factors have been observed, such as a decline in tobacco use in some high-income countries, with the majority of smokers worldwide now living in low- and middle-income countries.
  • Increasing obesity, in addition to being underweight, has been associated with increased mortality at older ages.

Fertility

·        Declining fertility levels have been the main propeller for population aging, although rates of fertility decline vary by region and country.

·        Currently, the global fertility rate is near or below the 2.1 replacement level in all world regions except Africa.

Long-Term Care

·        Unpaid caregiving by family members and friends remains the main source of long-term care for older people worldwide.

·        Informal care may substitute for formal long-term care in some circumstances in Europe, particularly when low levels of unskilled care are needed.

Source: Census Bureau

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Blockchain Applications for the Internet of Things (IoT)

Blockchain_IoT

Source: How Blockchain will spur on the IoT revolution

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Internet of Things (IoT) Budgets and Importance by Industry

emarketer_IoT

An April 2015 survey of global executives across a variety of different industries conducted by Tata Consultancy Services (TCS) found that respondents in banking and financial services predicted that average IoT per-company spending for their sector would grow to $153.5 million by 2018, up nearly 31% from $117.4 million in 2015. Respondents in the insurance industry expected their average per-company budgets to rise about 32% between 2015 and 2018, from $77.7 million to $102.9 million.

emarketer_IoT2

An August 2015 poll of IoT decision-makers worldwide by International Data Corporation (IDC) found that just 43% of respondents in the finance industry were familiar with the IoT. This compared with 56% in the retail industry, which had the highest percentage of those in the know. Despite this relative lack of knowledge, the same study found that 58.4% of finance-industry decision-makers viewed the IoT as a “strategic” initiative, compared with 20% who believed it was “transformational.” Perhaps more significant, only 5.6% of respondents said it was unimportant.

Source: eMarketer

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Smart City Technologies (Infographic)

Smart City technologies

Source: Raconteur

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World Backup Day (Infographic)

Backup this World Backup Day - 31st March 2016 (Infographic)

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