With better data – and more of it – comes improvements in efficiency and better, more informed business decision. At least that’s the thinking behind the boom in Internet of Things (IoT) technologies. Most American and British business leaders agree, according to new study from Aeris, a provider of machine-to-machine (M2M) and IoT solutions and […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
With better data – and more of it – comes improvements in efficiency and better, more informed business decision. At least that’s the thinking behind the boom in Internet of Things (IoT) technologies.
Most American and British business leaders agree, according to new study from Aeris, a provider of machine-to-machine (M2M) and IoT solutions and services, and research firm Vanson Bourne. Seventy-four percent of the 300 executives surveyed by the company in the U.S. and U.K. feel that IoT will enable them to better meet their key business objectives in the coming year, while 71 percent said IoT will help them gain a competitive edge.
Those attitudes help explain why industry watchers expect the IoT market to explode over the next few years. Earlier this year, analyst firm International Data Corporation (IDC) forecast that the IoT solutions and services market will hit $1.7 trillion by 2020, driven in large part by enterprise demand.
Aeris’ study uncovered some interesting regional differences. “In the US, 86 percent felt that IoT would help their organizations in 2016, while in the UK, only 51 percent agreed,” wrote Aeris spokesperson Trystan L. Bass, in a company blog post.
That optimism is being tempered by practical concerns over integrating IoT tech into their IT environments.
Big data analytics and management is a big worry among executives. Seventy-two percent of respondents said they’re having a tough time extracting meaningful insights out of sensor and connectivity data.
While it’s a discouraging statistic, the survey data suggests that businesses are struggling with a more fundamental IoT competency. Nearly the same number (73 percent) voiced concerns over the collection, storage and management of sensor data.
Enterprises also have to contend with building IoT-enabled applications.
“Since last surveyed in 2013, executives find that developing IoT applications and enabling them for different platforms is even more difficult,” Bass stated. “Seventy-six percent find this a challenge today versus 69 percent two years ago.”
Most organizations are developing their IoT and M2M apps in-house (65 percent), the study found. American companies are more likely to build their own apps (70 percent) compared to British companies (55 percent).
There is a bright spot. Sensor makers are making some progress, reported Bass.
“The survey revealed at least one thing has gotten easier in the past few years,” she wrote. “In 2013, 72 percent of IT decision-makers found that building IoT devices and the required sensor hardware was a challenge, but today, only 66 percent consider this a problem.”
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
SEE ALL
DATA CENTER ARTICLES