Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2019-2024

| Source: Research and Markets Research and Markets

Dublin, Dec. 31, 2019 (GLOBE NEWSWIRE) -- The "Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2019-2024" report has been added to ResearchAndMarkets.com's offering.

Data that is uncorrelated and does not have a pre-defined data model and is not organized in a pre-defined manner requires special handling and analytics techniques. The common industry term, big data, represents unstructured data sets that are large, complex, and prohibitively difficult to process using traditional management tools. As the Internet of Things (IoT) progresses, there will an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions.

Big data in IoT is different than conventional IoT and thus will require more robust, agile and scalable platforms, analytical tools and data storage systems than conventional big data infrastructure. Looking beyond data management processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands. Big data and analytics will increase in importance as IoT evolves to become more commonplace. Data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on a real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.

Big data in IoT is also dissimilar than non-machine related analytics and thus will require more robust, agile and scalable platforms, analytics tools, and data storage systems than conventional infrastructure. Due to this new architecture approach, the need to handle data differently, and the sheer volume of unstructured data, there will be great opportunities for big data in IoT. Analytics used in IoT will become an enabler for the entire IoT ecosystem as enterprise begins to take advantage of new business opportunities such as syndicating their own data.

This report evaluates the technologies, companies, and solutions for leveraging Big Data tools and advanced analytics for IoT data processing. Emphasis is placed on leveraging IoT data for process improvement, new and improved products, and ultimately enterprise IoT data syndication. The report includes detailed forecasts for 2019 through 2024.

Report Benefits:

  • Forecasts (global, regional, and by industry) to 2024
  • Understand the role and importance of Big Data in IoT
  • Identify key market issues and drivers for Big Data in IoT
  • Identify leading companies for Big Data and Analytics in IoT
  • Understand the emerging vendor ecosystem for Big Data in IoT
  • Identify areas for infrastructure, platform, and software investment

Key Topics Covered:

1 Executive Summary

2 Big Data in Internet of Things
2.1 Big Data Framework for IoT
2.2 Need for New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools

3 Big Data in IoT Business Trends and Predictions
3.1 Large Companies Partnerships and M&A
3.2 Big Data as a Service for IoT Becomes Mainstream
3.3 M2M Analytics and Cloud Services will be Early Beneficiaries
3.4 Cybersecurity for Big Data Analytics in IoT
3.5 Flexible and Scalable Revenue Models for Big Data Services
3.6 Big Data Operational Savings and New Business Models

4 Big Data in IoT Vendor Ecosystem
4.1 Cloud based Analytics Platforms for IoT
4.2 Cloud-based Data Storage Service and Management Toolsets
4.3 Big Data Processing for Massive Data Analysis
4.4 Compute, Store, and Analyze Data at the Edge of Networks
4.5 Predictive Platforms and Solutions
4.6 Cloud based Analytics Systems for IoT
4.7 Database System Upgrades and Evolution
4.8 Analytics Platform Upgrades and Evolution
4.9 Real Time DDS and Comprehensive Messaging Platforms

5 Big Data in IoT Market Analysis and Forecasts
5.1 Driving Factors for Big Data in IoT
5.2 Overall Global Market for Big Data in IoT 2019 - 2025
5.3 Global Big Data Solutions in IoT Market 2019 - 2025
5.4 Global Big Data in IoT Hardware, Software, and Services 2019 - 2025
5.5 Global Big Data in IoT Products and Services 2019 - 2025
5.6 Big Data in IoT by Industry 2019 - 2025

6 Key Companies

7 Summary and Conclusions

Companies Mentioned

  • Accenture
  • Amazon
  • Anova Data
  • Bosch Software Innovations
  • Capgemini
  • Cisco Systems
  • Cloudera
  • Cray Inc.
  • Dell EMC
  • Deloitte
  • Facebook
  • Fujitsu
  • General Electric
  • Gooddata Corporation
  • Google
  • HP Enterprise
  • IBM
  • Intel
  • Juniper Networks
  • Longview
  • Marklogic
  • Microsoft
  • Microstrategy
  • Mu Sigma
  • Netapp
  • NTT Data
  • Oracle
  • Pentaho (Hitachi)
  • Qlik Tech
  • Quantum
  • Revolution Analytics
  • Salesforce
  • Sap
  • SAS Institute
  • Sisense
  • Splunk
  • Sqrrl
  • Supermicro
  • Tata Consultancy Services
  • Teradata
  • Tibco
  • Verint Systems
  • Vmware (Part Of EMC)
  • Wipro
  • Workday (Platfora)

For more information about this report visit https://www.researchandmarkets.com/r/mlluuw

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