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Bangalore ranked as one of the top 15 Internet of Things cities

Submitted by scc staff on May 22, 2015

The adoption rate for the Internet of Things (IoT), the M2M technology made possible by the connectivity of secure networks and cloud infrastructure, is growing – and that growth will accelerate as more and more applications take advantage of its versatility and ability to turn data into useful information.

If you need convincing that it will be a big part of the future, IoT Analytics has ranked the top 15 emerging IoT cities, based on where IoT company headquarters are located:

  • San Francisco-Bay Area, U.S.
  • London, UK
  • New York City, NY
  • Boston, MA
  • Los Angeles, CA
  • Paris, France
  • San Diego, CA
  • Chicago, IL
  • Seattle, WA
  • Bangalore, India
  • Toronto, Canada
  • Tokyo, Japan
  • Hong King-Shenzhen, China (considered as one region)
  • Berlin, Germany
  • Denver, CO

The IoT Analytics research also indicated the leading cities for IoT aren't likely to change much over time. Once established, the IoT environment is self-perpetuating. Companies and vendors in those cities tend to be physically close to each other, which makes information and collaboration easier, and companies that are clustered together tend to share information and develop partnerships. Also, should a startup fail, there are other companies that can absorb its skilled employees.

According research by Verizon, the company predicts that “By 2025, smart cities capabilities will become a critical consideration for companies deciding to invest and open facilities, due to their impact on operating costs and talent availability.” As cities work to meet growing urban populations and the traffic congestion that accompanies them, many turn to smart streetlights, car sharing, smart parking and other measures to alleviate the problem.

IoT’s ability to integrate several connected systems also can provide insights and a detailed overview of a city’s operations overall, from energy use and air pollution to crime and traffic patterns – all of which can contribute to better policy decisions.