Information Communication and Technology Reports IoT Analytics Industry Research Report

IoT Analytics Market size is expected to grow from USD 7.19 Billion in
2017 to USD 27.78 Billion by 2022, at a CAGR of 31.0%
According to a new market research report” IoT Analytics Market by Application (Energy Management, Predictive
Maintenance & Asset Management, Inventory Management, Remote Monitoring), Component, Analytics Type,
Deployment, Organization Size, & Vertical - Global Forecast to 2022", published by MarketsandMarkets™, The IoT
Analytics market size is expected to grow from USD 7.19 Billion in 2017 to USD 27.78 Billion by 2022, at a
Compound Annual Growth Rate (CAGR) of 31.0%.
The key forces driving the IoT Analytics market include tremendous growth of Internet of Things (IoT) data and
need for advanced analytics and automation of businesses.
Browse and in-depth TOC on “IoT Analytics Market”
67 - Tables
31 - Figures
135 - Pages
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Major Key Companies:
The major vendors providing IoT Analytics software and services are IBM Corporation (US), Microsoft Corporation
(US), Oracle Corporation (US), SAP SE (Germany), Cisco Systems, Inc., (US), Dell Technologies, Inc. (US), Google, Inc.
(US), Amazon Web Services, Inc. (US), Hewlett Packard Enterprise Company (US), PTC, Inc. (US), Hitachi, Ltd.
(Japan), Teradata Corporation (US), Salesforce.com, Inc. (US), and Greenwave Systems, Inc. (US).
The report provides detailed insights into the global IoT Analytics market, which is segmented by application,
component, analytics type, deployment model, organization size, industry vertical, and region. In the component
segment, the IoT Analytics software segment is expected to have the larger market share during the forecast
period. The demand for IoT Analytics software is rising as organizations are looking for solutions to generate
business-related insights and plan the next steps accordingly based on the insights gathered. Vendors provide
software and solutions that assist companies with data collection and data analysis for generating meaningful
insights. IoT Analytics software filters the aggregated and enriched data so that it can be analyzed to provide a high
throughput from multiple live input data sources.
Among applications, the predictive maintenance and asset management application is expected to continue its
dominance during the forecast period. Asset management integrated platforms assist users in managing physical
assets and tracking equipment performance. The platforms also provide service assurance by enabling real-time
alerts and providing automated corrective actions.
The cloud deployment model is expected to exhibit a higher adoption compared to the on-premises deployment
model. Cloud-based solutions are gaining a firm hold on the market, due to growing demands for improved service
and cost-effectiveness, and the increasing needs of organizations to keep track of operational processes for
maintaining productivity.