Well, that was fast.
A majority of enterprises, 65 percent in fact, have already incorporated Internet of Things (IoT) technologies into their environments, gathering data from sensors, equipment and other devices and using it for business purposes, according to 451 Research’s inaugural Voice of the Enterprise: Internet of Things report. The most common type of data collected is of the machine sensing type (71.5 percent), followed by environmental data (20 percent) and biological data from people and animals (8.5 percent).
Most IoT data comes from data center IT equipment (51) followed by cameras and other surveillance equipment (34 percent). Data center facilities also rank high (33 percent) along with smartphones and end-user systems (29 percent).
Early to the IoT scene, 49 percent of manufacturers are collecting data from factory machinery. Medical devices are pouring data into nearly half of all healthcare (49 percent) organizations.
Generally, enterprises are deploying IoT systems to reduce risk (66 percent) and optimize business operations (63 percent). Organizations are also enlisting connected devices to help develop new products or improve upon existing ones (33 percent). Finally, 21 percent of organizations are enlisting the IoT to aid in their customer targeting efforts.
As with any burgeoning technology, businesses can expect some speed bumps along the way.
Echoing several other studies on the topic, IoT security was the top concern (46 percent). Finding skilled personnel (32 percent) and the IT capacity required to support the IoT (29 percent) posed a challenge for many enterprises.
Despite the sometimes deafening buzz surrounding the technology, many business leaders aren’t yet convinced that they can capitalize on it and use it to help improve the bottom line. Twenty-nine percent of enterprise organizations are skeptical about the IoT’s supposed benefits or its ability to generate a positive return on investment (ROI).
“In order for IoT to evolve as a key digital transformation enabler, enterprises and vendors of key solutions must address security concerns, set standards for connectivity, and lower both the cost and complexity of deploying these environments,” said Dan Harrington, research director at 451 Research, in a statement. “This complexity includes not only the deployment of the physical hardware itself, but also the backend analytics and software platforms, and the business justification tools used to realize the value of the data being gathered.”
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
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
FEATURE | By Samuel Greengard,
November 05, 2020
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
FEATURE | By Cynthia Harvey,
October 07, 2020
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 2020
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
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.