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Predictive and Prescriptive Analytics to Account for More Than 60% of Total IoT Analytics Market Revenue by 2021

ABI Research
2016-06-07 01:15 2345

OYSTER BAY, New York, June 7, 2016 /PRNewswire/ -- One of the greatest IoT market challenges for enterprises is how to manage, track, and analyze all of their data. ABI Research forecasts global revenues from the integration, storage, analysis, and presentation of IoT data to triple over the forecast period and top US$30 billion in 2021, with a 29.4% CAGR.

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"Descriptive analytics currently generate more than 75% of IoT analytics revenue," says Ryan Martin, Senior Analyst at ABI Research. "But over the next five years, rapid uptake of advanced analytics will overtake descriptive analytics' share of revenue to the extent that predictive and prescriptive analytics will account for more than 60% of IoT analytics revenue by 2021."

The general shift from batch to event-based processing signals a growing interest in real-time/streaming analytics as a lever for IoT value creation. ABI Research data analysis suggests that early adoption of predictive and prescriptive analytics is occurring in more developed, mature M2M/IoT verticals. Growth is specifically targeting asset-intensive industries in which machinery cost is high, such as within the industrial, manufacturing, field, oil, and gas sectors.

"The need to harmonize IoT ecosystem components without creating or simply shifting the bottlenecks that come with the management of high-velocity variable data puts pressure on connectivity providers, edge analytics platform players, and system integrators to stand up new and distributed frameworks," concludes Martin. "The purpose of these frameworks is to not only support and add value to data, but to also be able to do so at any level."

Major investments from companies like Cisco, Dell, GE, IBM, Microsoft, PTC, and SAP, as well as a flurry of startup-level vendors like Blue Yonder, mnubo, Mtell, Predixion, and Seeq, further underscores the momentum and importance of analytics in IoT.

These findings are part of ABI Research's Big Data and Analytics in IoT and M2M report (https://www.abiresearch.com/market-research/product/1024282-big-data-and-analytics-in-iot-and-m2m/). This piece is one component of the company's Internet of Everything Service (https://www.abiresearch.com/market-research/service/internet-of-everything/), which includes research reports, market data, insights, and competitive assessments.

About ABI Research

For more than 25 years, ABI Research has stood at the forefront of technology market intelligence, partnering with innovative business leaders to implement informed, transformative technology decisions. The company employs a global team of senior analysts to provide comprehensive research and consulting services through deep quantitative forecasts, qualitative analyses and teardown services. An industry pioneer, ABI Research is proactive in its approach, frequently uncovering ground-breaking business cycles ahead of the curve and publishing research 18 to 36 months in advance of other organizations. In all, the company covers more than 60 services, spanning 11 technology sectors. For more information, visit www.abiresearch.com.


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Source: ABI Research
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