The sector will reach $63.8 billion by 2027

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Dublin, Oct. 14, 2022 (GLOBE NEWSWIRE) — The report “Big Data in IoT by Technology, Infrastructure, Solutions, and Industry Verticals 2022 – 2027” has been added to from offer.

This report assesses technologies, companies, and solutions for harnessing 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. The report includes detailed forecasts for 2022 to 2027.

Select report results:

  • Global global big data in IoT market to reach $63.8 billion by 2027

  • Data analytics is the largest segment by product and service in the IoT big data market

  • Big Data in IoT as a Service to Hit $8.1 Billion by 2027, with North America Leading the Market

  • Big data storage in IoT will reach $19.2 billion by 2027, driven by low-cost cloud-based solutions

  • Big Data in IoT within the government sector will surpass $7.23 billion by 2027, fueled by military and public safety initiatives

  • Financial services, government, telecommunications, retail, healthcare, manufacturing, building automation, consumer electronics, transportation and freight are some of the major industry verticals. industry for big data in the IoT market.

Data that is uncorrelated and does not have a predefined data model and is not organized in a predefined way requires special processing and analysis techniques. The common industry term, Big Data, stands for unstructured sets of data that are large, complex, and extremely 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 growing amount of human-facing and machine-generated data will create substantial opportunities for AI-enabled unstructured data analytics solutions.

The company has great potential and it shows with the trend of big companies such as Cisco, Bosch, IBM, Intel, Google, Amazon, AT&T entering the big data analytics business in IoT, either by acquisition, or by partnership with companies and start-ups. develop various tools, platforms and APIs in Big Data.

Big Data in the IoT is different from conventional IoT and will therefore require platforms, analytics tools, and data storage systems that are more robust, agile, and scalable than conventional Big Data infrastructure. Data generation is often at very high volumes for many applications and manifests in many forms. This eases the need to develop new platforms and systems.

Companies such as Treasure Data (Softbank) have developed a unified logging layer Fluentd, JSON posing as a Java-based lightweight data exchange platform and DDS helping in real-time data processing and lightweight protocols are some of the major developments underway towards developing dedicated big data infrastructure for the IoT.

Beyond data management processes, IoT data itself will become extremely valuable as a change agent for product development as well as for identifying supply gaps and fulfilling unfulfilled demands. satisfied. The Big Data and analytics used in the IoT will become an enabler for the entire IoT ecosystem and the business as a whole, as companies begin to syndicate their own data.

Artificial intelligence (AI) is further enhancing the ability of big data and IoT analytics platforms to deliver value to each of these market segments. The use of AI for decision-making in the IoT and data analytics will be crucial for effective and efficient decision-making, especially in the realm of streaming data and real-time analytics associated with advanced computer networks.

Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make real-time decisions will add a whole new dimension to service logic. In many cases, the data itself and the actionable information will constitute the service.

Main topics covered:

1. Summary

2 Big Data in the Internet of Things

3 Big Data in IoT Business Trends and Forecasts

4 Big Data in the IoT vendor ecosystem

5 Big Data in IoT Market Analysis and Forecast

6 big data case studies

7 Select business analysis

8 Summary and conclusions

Companies cited

  • 1010Data (Advance Communication Corp.)

  • Accenture

  • Actian Corporation

  • AdvancedMD

  • Alation

  • Allscripts Healthcare Solutions

  • Alpine Data Laboratories

  • Alteryx

  • Amazon

  • Apache Software Foundation

  • Apple Inc.

  • APTEAN (formerly CDC Software)

  • Athena Health Inc.

  • Attunity

  • BGI

  • Big Panda

  • Booz Allen Hamilton

  • Bosch

  • Capgemini

  • MAP

  • Cerner Company

  • Cisco Systems

  • Cloudera

  • cogito ltd.

  • IT company

  • Computer

  • Crux Computing

  • Data inc.

  • Data tax

  • Databrick

  • Data Direct Network

  • Dataiku

  • Datameer

  • DellEMC

  • Deloitte

  • Dom

  • eClinicalWorks

  • Epic Systems Corporation

  • Facebook

  • Running

  • Flytxt

  • Fujitsu

  • General Electric

  • GenomOncology

  • Good Data Corporation

  • Google

  • Green Plum

  • Gridgain Systems

  • Groundhog Technologies

  • Guavus

  • Hack/reduce

  • Hitachi Data Systems

  • hortonworks

  • HP Company

  • HPCC systems

  • IBM

  • Illumina Inc.

  • Imply Corporation

  • Red Hat

  • Analytics of the revolution

  • Roche Diagnostics

  • VolMetrix (Microsoft)

  • Wipro

  • Working day (platform)

  • WuXi NextCode Genomics (Genuity Science)

  • Zoomdata (Logi Analytics)

For more information on this report visit

CONTACT: CONTACT: Laura Wood,Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

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