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DUBLIN, Oct. 14, 2022 (GLOBE NEWSWIRE) — Big Data in IoT by Technology, Infrastructure, Solutions and Industries 2022-2027 report added of ResearchAndMarkets.com Recruitment.
This report evaluates technologies, companies, and solutions for leveraging big data tools and advanced analytics for IoT data processing. The focus is on leveraging IoT data for process improvement, new and improved products, and ultimately enterprise IoT data syndication. This report contains detailed forecasts from 2022 to 2027.
Select the report findings.
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The total global market for big data in IoT will reach $63.8 billion by 2027
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Data analytics is the largest segment by product and service in the big data IoT market
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IoT Big Data as a Service to Reach $8.1 Billion by 2027, with North America Leading the Market
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Low-cost cloud-based solutions will drive IoT big data storage to reach $19.2 billion by 2027
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IoT big data within the government sector will exceed $7.23 billion by 2027, boosted by military and public safety initiatives
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Financial services, government, telecommunications, retail, healthcare, manufacturing, building automation, consumer electronics, transportation and freight are some of the leading verticals for big data in the IoT market.
Data that is uncorrelated, without a predefined data model, and organized in a predefined way requires special processing and analysis techniques. Big data, a common industry term, describes unstructured data sets that are large, complex, and very difficult to process using traditional management tools.
As the Internet of Things (IoT) continues to evolve, there will be an increasing amount of unstructured machine data. The growth of human-oriented and machine-generated data drives huge opportunities for AI support of unstructured data analytics solutions.
There is great potential in this business, with large companies such as Cisco, Bosch, IBM, Intel, Google, Amazon, AT&T entering the business of IoT big data analytics through acquisitions or partnerships with companies and start-ups. You can see a trend. We develop various tools, platforms and APIs for big data.
IoT big data is different than traditional IoT, requiring platforms, analytics tools, and data storage systems that are more robust, agile, and scalable than traditional big data infrastructures. Data generation is often very large in many applications and comes in many forms. This increases the need to develop new platforms and systems.
Companies such as Treasure Data (Softbank) have developed a unified logging layer, Fluentd. JSON emerged as a Java-based lightweight data exchange platform, while DDS facilitated real-time data processing and lightweight protocols. Big data infrastructure for IoT.
Looking beyond the data management process, IoT data itself becomes highly valuable as an agent of change in product development, as well as identifying supply gaps and fulfilling unmet demand. Big data and analytics used in IoT will be an enabler for the entire IoT ecosystem and business as companies begin to syndicate their own data.
Artificial intelligence (AI) will further enhance the capabilities of big data analytics and IoT platforms, delivering value to each of these market segments. Using AI for decision making in IoT and data analytics is essential for efficient and effective decision making, especially in the areas of streaming data and real-time analytics related to edge computing networks.
Real-time data is a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real time adds a whole new dimension to service logic. The data itself and the actionable information are often the services.
Main topics:
1.executive summary
2 Big Data in the Internet of Things
3 Trends and predictions of big data in IoT business
4 Big data in the IoT vendor ecosystem
5 big data in IoT market analysis and forecast
6 Big data case studies
7 Choice of company analysis
8 Summary and conclusion
companies mentioned
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1010Data (Advance Communications Inc.)
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Accenture
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Actian Corporation
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Advanced MD
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Alation
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Allscripts Healthcare Solutions
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Alpine Data Lab
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Ortex
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Amazon
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Apache Software Foundation
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Apple.
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APTEAN (formerly CDC Software)
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Athena Health Co., Ltd.
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Attunity
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BGI
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big panda
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Booz Allen Hamilton
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Bosch
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capgemini
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cart
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Thurner Corporation
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Cisco Systems
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Claudella
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Cogito Co., Ltd.
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Computer Science Co., Ltd.
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Converde
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crux informatics
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Data Co., Ltd.
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data stacks
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data brick
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DataDirect network
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dirty
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data mere
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Dell EMC
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Deloitte
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Domo
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eClinical Works
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Epic Systems, Inc.
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Facebook
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fluent
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Flytxt
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Fujitsu
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general electric
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genomic oncology
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Good Data Co., Ltd.
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Google
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green plum
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grid gain system
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groundhog technologies
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Guavas
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hack/reduce
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Hitachi Data Systems
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Horton Works
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HP enterprise
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HPCC system
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IBM
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Illumina Inc.
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Inply Co., Ltd.
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red hat
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Revolution Analytics
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Roche Diagnostics
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VolMetrix (Microsoft)
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Wipro
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Workday (Platform)
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WuXi NextCode Genomics (Genuity Science)
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Zoomdata (logi analytics)
For more information on this report, please visit https://www.researchandmarkets.com/r/6torxe.
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