Business Automation, Efficiency and Profitability will Improve via IoT Data Analytics Market Solutions
1h Free Analyst Time
This report evaluates the market for IoT data management and analytics. The report analyzes key challenges and opportunities such as managing IoT data based on ownership, care of custody, and usage rights.Speak directly to the analyst to clarify any post sales queries you may have.
The report assesses the opportunity for IoT data as a service and IoT-driven decisions as a service. It includes forecasts by technology, infrastructure, applications and services for both static and real-time data from 2022 through 2027.
The report evaluates substantial market opportunities involving IoT data collection, storage, analytics and visualization. It identifies how real-time, streaming data IoT business data becomes highly valuable when it can be put into context and processes as it will facilitate completely new product and service offerings.
Select Report Findings:
- Real-time monitoring in healthcare will reach $12.2B by 2027
- Global data collection solutions market to reach $7.6B by 2027
- Improved operations in the retail sector will reach $3.2B by 2027
- Global IoT data support software market to reach $26.4B by 2027
- Global IoT data storage solutions market to reach $14.8B by 2027
- Leading industry verticals are healthcare, manufacturing and retail
- The Asia Pac region to lead the IoT data analytics market through 2027
Industrial IoT (IIoT) and enterprise IoT deployments in particular will generate a substantial amount of data, most of which will be of the unstructured variety, requiring next-generation data analytics tools and techniques. For example, manufacturing processes produce vast amounts of machine-generated data, most of which is unstructured and from disparate sources and formats.
Accordingly, there is a need for uniform data management processes and the use of big data analytics tools and techniques. While much of this data will be very useful for longer-term analytics, significant value will be realized from real-time processing such as centralized versus distributed manufacturing decisions.
It is important to recognize that intelligence within IoT networks is not inherent but rather must be carefully planned. IoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices, which may rely upon a combination of local and cloud-based intelligence.
Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nervous system-like end-points that provide signaling (detection and triggering of communications) and connectivity. Each of these system components are sources of potentially useful data, which must be analyzed to determine if useful information may be realized.
With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.
This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.
Table of Contents
1 Executive Summary10 Conclusions and Recommendations
2 IoT Data Management and Analytics Market Overview
3 Introduction to IoT Data Management and Analytics
4 IoT Data Management and Analytics Market Dynamics
5 IoT Data Platform Providers
6 Technologies Enabling IoT Data
7 Global IoT Data Market Analysis and Forecasts 2022 - 2027
8 Vendor Analysis
9 IoT Data Management and Analytics Market Benefits, Capabilities, and Case Studies
11 Appendix
List of Figures
List of Tables
Companies Mentioned
- Accenture
- AGT International
- Amdocs
- AppDirect, Inc.
- Bosch Software Innovations
- Capgemini
- Cisco Systems, Inc.
- General Electric
- Google Inc.
- Horadata
- Intel Corporation
- Interdigital
- Lynx Software Technologies, Inc.
- Maana, Inc.
- Microsoft Corporation
- MongoDB Inc.
- Optiva (formerly RedKnee)
- PTC
- RIOT
- SAP SE
- Teradata Corporation
- Terbine
- Tilepay
- Wind River
Methodology
LOADING...
