Over half of enterprises are already Internet of Things within the workplace, citing business value in optimising operations and reducing risk.
Despite the recent rise of connected technologies, 65 per cent of organisations currently collect data from equipment, devices or other connected endpoints and use that data for a business purpose.
Findings from 451 Research’s inaugural Voice of the Enterprise: Internet of Things (IoT) study reports that datacentre equipment (51 per cent) is currently the most common source of IoT data, followed by camera/surveillance equipment (34 per cent), datacentre facilities equipment (33 per cent) and smartphones/end-user devices (29 per cent).
In addition, industry plays a big role with 49 per cent of manufacturing organisations gathering data from factory equipment and 49 per cent of healthcare organisations gathering data from medical devices.
“The term, ’Internet of Things‘, has proliferated rapidly and taken on different meanings depending on the audience,” 451 Research Research Director, Dan Harrington, said.
“As is reflected in our survey data, these connected endpoint scenarios are both old and new.
"They vary immensely from traditional use cases such as IP connected cameras, building automation, warehouse automation and telematics to emerging industrial use cases such as crop monitoring and remote patient monitoring.
“Organisations are both enhancing their already connected endpoints with greater capabilities as well as connecting new objects with sensors and circuitry to derive net new value for the business.”
Harrington said business value derived from these deployments include reducing risk (66 per cent) followed by optimising operations (63 per cent), developing new or enhance existing products or services (33 per cent) and enhancing customer targeting (21 per cent).
According to Harrington, this also varies by industry with manufacturing and utilities mostly focused on optimising operations, while reducing risk is more critical for those in finance and public sector.
Types of data gathered
“The volume of data being gathered and stored by these endpoints is immense,” said Harrington, who broke these types of data down into three major categories, machine sensing (data gathered from machines), biological sensing (data gathered from humans and animals) and environmental sensing (data gathered from the environment).
Respondents noted that the majority of the data today is gathered from machines for business use (71.5 per cent), while data gathered from humans and animals (8.5 per cent) and the environment (20 per cent) represents a smaller, but growing portion of the overall data.
With regards to IoT deployments, 46 per cent said security concerns were an impediment while nearly a third cited lack of internal skill sets (32 per cent), while a lack of IT capacity (29 per cent) and lack of perceived ROI/benefits (29 per cent) were also cited.
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