Most enterprises are already familiar with the Internet of Things (IoT), and for some, that familiarity is breeding at least a little contempt.
A majority of businesses, 70 percent in fact, have already deployed IoT solutions according to the latest survey from Strategy Analytics. Within the next three to 12 months, that figure will climb to 80 percent.
While IoT is already having a major impact on the IT market, its effects aren’t as wide reaching at individual organizations. Strategy Analytics discovered that just 25 percent of enterprises are operating full-scale IoT deployments.
After polling 350 global businesses across multiple verticals including healthcare, manufacturing and finance, the research group found that the biggest driver of IoT tech adoption is big data analytics (56 percent). As the storage industry has already discovered, big data presents its own set of challenges.
“While Data Analytics emerged as the top reason for an IoT deployment, a significant percentage of companies struggle with how to analyze that data to benefit their business,” said Andrew Brown, executive director of Enterprise and IoT Research at Strategy Analytics, in a statement. Fifty percent of respondents said they were sitting on too much data, making analytics a tricky proposition.
Early IoT adopters are also finding it difficult to reliably capture data (28 percent) or capture data they consider useful (25 percent). More than a quarter of organizations (28 percent) are unsure of what questions to ask.
“We also found that 44 percent of respondents currently perform some data analytics but admit they could do a better job and 31 percent of organizations do not currently store IoT data at all,” Brown added.
Getting IoT technologies to play nice with existing setups is another major roadblock, according to Strategy Analytics’ director of IoT Systems Research and Consulting, Laura DiDio.
“Integration with legacy systems (41 percent) and Security are the biggest impediment to IoT deployments. Only 13 percent of respondents said that IoT will strengthen security and 56 percent said security is their top technical challenge,” DiDio stated. Nearly half of the businesses polled by the group hadn’t conducted a detailed cost analysis, undoubtedly to the dismay of their budget keepers.
The top IoT use cases are office security and surveillance, smart buildings and financial analytics. Healthcare organizations have also begun to use IoT technologies in their diagnostics and analytics operations.
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
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 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
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.