Big Data Market by Leading Companies, Solutions, Use Cases, Infrastructure, Data Integration, IoT Support, Deployment Model and Services in Industry Verticals 2023

This report provides an in-depth assessment of the global big data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2023 to 2028. This report also evaluates the components of big data infrastructure and security framework.

This report also provides an analysis of leading big data solutions with key metrics such as streaming IoT data analytics revenue for leading providers. The report evaluates, compares, and contrasts vendors, and provides a vendor ranking matrix. Analysis takes into consideration solutions integrating both structured and unstructured data.

Select Report Findings:

Big data in business intelligence apps will reach $63.5 billion by 2028

Data Integration & Quality Tools to reach $1.2 billion globally by 2028

Enterprise performance analytics will reach $39.9 billion globally by 2028

Big data in supply chain management will reach $8.3 billion globally by 2028

Combination of AI and IoT (AIoT) will rely upon advanced big data analytics software

Real-time data will be a key value proposition for all use cases, segments, and solutions

Market leading companies are rapidly integrated big data technologies with IoT infrastructure

Big data solutions are relied upon to gain insights from data files/sets so large and complex that it becomes difficult to process using traditional database management tools and data processing applications. The publisher sees key solution areas for big data as commerce, geospatial, finance, healthcare, transportation, and smart grids. Key technology integration includes AI, IoT, cloud and high-performance computing.

AI facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Some of the biggest opportunity areas are commercial applications, search in the big data environment, and mobility control for the generation of actionable business intelligence.

In terms of big data integration with cloud-based infrastructure, cloud solutions allow companies that previously required large investments into hardware to store data to do the same through the cloud at a lower cost. Companies save not only money but physical space where this hardware was previously stored. The trend to migrate to big data technologies is driven by the need for additional information derivable from analysis of all of the electronic data available to a business.

To realize the true potential to transform intelligence information from the huge amount of unstructured data, government agencies cannot leverage traditional data management technologies and DB techniques in terms of processing data. To understand patterns that exist in unstructured data, government agencies apply statistical models to large quantities of unstructured data.

Industry verticals of various types have challenges in capturing, organizing, storing, searching, sharing, transferring, analyzing, and using data to improve business. Big data is making a big impact in certain industries such as the healthcare, industrial, and retail sectors. Every large corporation collects and maintains a huge amount of data associated with its customers including their preferences, purchases, habits, travels, and other personal information. In addition to the large volume, much of this data is unstructured, making it hard to manage.

Big data technology will help financial institutions maximize the value of data and gain a competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time. As an example, in the transportation industry, real-time applications can match loads to a vehicle's capacity using data analytics. Big data provides shipping and delivery companies with real-time notifications and updates to increase efficiency and accuracy.

Big data technologies provide financial services firms with the capability to capture and analyze data, build predictive models, back-test, and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models. Financial firms are increasingly migrating their data and analytics to the cloud, leading to reduced cost, better data management, and better customer service. Data and insights can also be transferred far quicker than before, allowing representatives to provide customers with real-time data backed insights.

Healthcare services can be applied more accurately with big data. Decisions based on real-time data and assistance from AI/ML solutions. Private health insurance providers can gain access to previously inaccessible information and databases through big data. Healthcare customer service processes can also be streamlined while providing personalized more personalized medical care to individuals.

Big data analytics allows retail companies to examine and interact with their audience online in new ways. Predictive analytics can analyze a consumer's activity and recommend suggested items to them. Once a consumer has purchased from a company, big data can help retain that customer by better understanding what a person wants. For example, online retailers collect all its customers' data to provide a personalized experience, earning up to 40% of its revenue from its customers' data.

Customer Relationship Management benefits greatly from use of technology for organizing, automating, and synchronizing all customer-related information like sales, marketing, services, support and more. Big data represents a big business opportunity and it is poised to do more than just improve CRM.

Data analytics is useful for Supply Chain Management because it can analyze a variety of variables across a business' operations. SCM service providers use advanced analytics to analyze materials, products in inventory and imports/exports to better understand needs. This helps a business to manage its assets better, saving time and money. Data analytics can predict future risks based on history and a large set of data.

Select Companies in Report:

1010Data
Accenture
Actian Corporation
AdvancedMD
Alation
Allscripts Healthcare Solutions
Alpine Data Labs
Alteryx
Amazon
Anova Data
Apache Software Foundation
Apple Inc.
APTEAN
AthenaHealth Inc.
Attunity
BGI
Big Panda
Bina Technologies Inc.
Booz Allen Hamilton
Bosch
Capgemini
Cerner Corporation
Cisco Systems
CLC Bio
Cloudera
Cogito Ltd.
Computer Science Corporation
Compuverde
CRAY Inc.
Crux Informatics
Ctrl Shift
Cvidya
Cybatar
Data Inc.
Data Stax
Databricks
DataDirect Network
Dataiku
Datameer
Definiens
Dell EMC
Deloitte
Domo
eClinicalWorks
Epic Systems Corporation
Facebook
Fluentd
Flytxt
Fujitsu
Genalice
General Electric
GenomOncology
GoodData Corporation
Google
Greenplum
Grid Gain Systems
Groundhog Technologies
Guavus
Hack/reduce
Hitachi Data Systems
Hortonworks
HP Enterprise
HPCC Systems
IBM
Illumina Inc
Imply Corporation
Industry Connectivity Consortium
Informatica
Intel
Inter Systems Corporation

Jasper (Cisco Jasper)
Juniper Networks
Knome,Inc.
Leica Biosystems (Danaher)
Longview
MapR
Marklogic
Mayo Medical Laboratories
McKesson Corporation
Medical Information Technology Inc.
Medio
Medopad
Microsoft
Microstrategy
MongoDB (Formerly 10Gen)
MU Sigma
N-of-One
Netapp
NTT Data
Open Text (Actuate Corporation)
Opera Solutions
Oracle
Palantir Technologies Inc.
Pathway Genomics Corporation
Pentaho (Hitachi)
Perkin Elmer
Platfora
Qlik Tech
Quality Systems Inc.
Quantum
Quertle
Quest Diagnostics Inc.
Rackspace
Red Hat
Revolution Analytics
Roche Diagnostics
Rocket Fuel Inc.
Salesforce
SAP
SAS Institute
Selventa Inc.
Sense Networks
Shanghai Data Exchange
Sisense
Social Cops
Software AG/Terracotta
Sojern
Splice Machine
Splunk
Sqrrl
Sumo Logic
Sunquest Information Systems
Supermicro
Tableau
Tableau Software
Tata Consultancy Services
Teradata
ThetaRay
Think Big Analytics
Thoughtworks
TIBCO
Tube Mogul
Verint Systems
VMware
VolMetrix
Wipro
Workday (Platfora)
WuXi NextCode Genomics
Zoomdata

1.0. Executive Summary

2.0. Introduction

2.1. Big Data Overview
- 2.1.1. Defining Big Data
- 2.1.2. Big Data Ecosystem
- 2.1.3. Key Characteristics of Big Data
  - 2.1.3.1. Volume
  - 2.1.3.2. Variety
  - 2.1.3.3. Velocity
  - 2.1.3.4. Variability
  - 2.1.3.5. Complexity
2.2. Research Background
- 2.2.1. Scope
- 2.2.2. Coverage
- 2.2.3. Company Focus

3.0. Big Data Challenges and Opportunities

3.1. Securing Big Data Infrastructure
- 3.1.1. Big Data Infrastructure
- 3.1.2. Infrastructure Challenges
- 3.1.3. Big Data Infrastructure Opportunities
  - 3.1.3.1. Securing State Data
  - 3.1.3.2. Securing APIs
  - 3.1.3.3. Securing Applications
  - 3.1.3.4. Securing Data for Analysis
  - 3.1.3.5. Securing User Privileges
  - 3.1.3.6. Securing Enterprise Data
3.2. Unstructured Data and the Internet of Things
- 3.2.1. New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
- 3.2.2. Big Data in IoT and Lightweight Data Interchange Format
- 3.2.3. Big Data in IoT and Lightweight Protocols
- 3.2.4. Big Data in IoT and Network Interoperability Protocols
- 3.2.5. Big Data in IoT Data Processing Scalability

4.0. Big Data Technologies and Business Cases

4.1. Big Data Technology
- 4.1.1. Hadoop
  - 4.1.1.1. Other Apache Projects
- 4.1.2. NoSQL
  - 4.1.2.1. Hbase
  - 4.1.2.2. Cassandra
  - 4.1.2.3. Mongo DB
  - 4.1.2.4. Riak
  - 4.1.2.5. CouchDB
- 4.1.3. MPP Databases
- 4.1.4. Other Technologies
  - 4.1.4.1. Storm
  - 4.1.4.2. Drill
  - 4.1.4.3. Dremel
  - 4.1.4.4. SAP HANA
  - 4.1.4.5. Gremlin & Giraph
4.2. Emerging Technologies, Tools, and Techniques
- 4.2.1. Streaming Analytics
- 4.2.2. Cloud Technology
- 4.2.3. Search Technologies
- 4.2.4. Customizes Analytics Tools
- 4.2.5. Keywords Optimization
4.3. Big Data Roadmap
4.4. Market Drivers
- 4.4.1. Data Volume and Variety
- 4.4.2. Increasing Adoption of Big Data by Enterprises and Telecom
- 4.4.3. Maturation of Big Data Software
- 4.4.4. Continued Investments in Big Data by Web Giants
- 4.4.5. Business Drivers
4.5. Market Barriers
- 4.5.1. The Big Barrier: Privacy and Security Gaps
- 4.5.2. Workforce Reskilling and Organizational Resistance
- 4.5.3. Lack of Clear Big Data Strategies
- 4.5.4. Scalability and Maintenance Technical Challenges
- 4.5.5. Big Data Development Expertise

5.0. Key Big Data Sectors

5.1. Industrial Automation and Internet of Things
- 5.1.1. Big Data in Machine to Machine Solutions
- 5.1.2. Vertical Opportunities
5.2. Retail and Hospitality
- 5.2.1. Forecasting and Inventory Management
- 5.2.2. Customer Relationship Management
- 5.2.3. Determining Buying Patterns
- 5.2.4. Hospitality Use Cases
- 5.2.5. Personalized Marketing
5.3. Digital Media
- 5.3.1. Social Media
- 5.3.2. Social Gaming Analytics
- 5.3.3. Usage of Social Media Analytics by Other Verticals
- 5.3.4. Internet Keyword Search
5.4. Utilities
- 5.4.1. Analysis of Operational Data
- 5.4.2. Application Areas for the Future
5.5. Financial Services
- 5.5.1. Fraud Analysis, Mitigation & Risk Profiling
- 5.5.2. Merchant-Funded Reward Programs
- 5.5.3. Customer Segmentation
- 5.5.4. Customer Retention & Personalized Product Offering
- 5.5.5. Insurance Companies
5.6. Healthcare
- 5.6.1. Drug Development
- 5.6.2. Medical Data Analytics
- 5.6.3. Case Study: Identifying Heartbeat Patterns
5.7. Information and Communications Technologies
- 5.7.1. Telco Analytics: Customer/Usage Profiling and Service Optimization
- 5.7.2. Big Data Analytic Tools
- 5.7.3. Speech Analytics
- 5.7.4. New Products and Services
5.8. Government: Administration and Homeland Security
- 5.8.1. Big Data Research
- 5.8.2. Statistical Analysis
- 5.8.3. Language Translation
- 5.8.4. Developing New Applications for the Public
- 5.8.5. Tracking Crime
- 5.8.6. Intelligence Gathering
- 5.8.7. Fraud Detection and Revenue Generation
5.9. Other Sectors
- 5.9.1. Aviation
- 5.9.2. Transportation and Logistics: Optimizing Fleet Usage
- 5.9.3. Real-Time Processing of Sports Statistics
- 5.9.4. Education
- 5.9.5. Manufacturing
- 5.9.6. Extraction and Natural Resources

6.0. Big Data Value Chain

6.1. Fragmentation in the Big Data Value Chain
6.2. Data Acquisitioning and Provisioning
6.3. Data Warehousing and Business Intelligence
6.4. Analytics and Visualization
6.5. Actioning and Business Process Management
6.6. Data Governance

7.0. Big Data Analytics

7.1. The Role and Importance of Big Data Analytics
7.2. Big Data Analytics Processes
7.3. Reactive vs. Proactive Analytics
7.4. Technology and Implementation Approaches
- 7.4.1. Grid Computing
- 7.4.2. In-Database processing
- 7.4.3. In-Memory Analytics
- 7.4.4. Data Mining
- 7.4.5. Predictive Analytics
- 7.4.6. Natural Language Processing
- 7.4.7. Text Analytics
- 7.4.8. Visual Analytics
- 7.4.9. Association Rule Learning
- 7.4.10. Classification Tree Analysis
- 7.4.11. Machine Learning
- 7.4.12. Neural Networks
- 7.4.13. Multilayer Perceptron
- 7.4.14. Radial Basis Functions
  - 7.4.14.1. Support Vector Machines
  - 7.4.14.2. Naïve Bayes
  - 7.4.14.3. K-nearest Neighbors
- 7.4.15. Geospatial Predictive Modelling
- 7.4.16. Regression Analysis
- 7.4.17. Social Network Analysis

8.0. Standardization and Regulatory Issues

8.1. Cloud Standards Customer Council
8.2. National Institute of Standards and Technology
8.3. OASIS
8.4. Open Data Foundation
8.5. Open Data Center Alliance
8.6. Cloud Security Alliance
8.7. International Telecommunications Union
8.8. International Organization for Standardization

9.0. Big Data in Industry Vertical Applications

9.1. Big Data Application in Manufacturing
9.2. Retail Applications
9.3. Big Data Application: Insurance Fraud Detection
9.4. Big Data Application: Media and Entertainment Industry
9.5. Big Data Application: Weather Patterns
9.6. Big Data Application: Transportation Industry
9.7. Big Data Application: Education Industry
9.8. Big Data Application: E-Commerce Personalization
9.9. Big Data Application: Oil and Gas Industry
9.10. Big Data Application: Telecommunication Industry

10.0. Key Big Data Companies and Solutions

10.1. Vendor Assessment Matrix
10.2. Competitive Landscape of Major Big Data Vendors
- 10.2.1. New Products Developments
- 10.2.2. Partnership, Merger, Acquisition, and Collaboration
10.3. 1010Data (ACC)
10.4. Accenture
10.5. Actian Corporation
10.6. AdvancedMD
10.7. Alation
10.8. Allscripts Healthcare Solutions
10.9. Alpine Data Labs
10.10. Alteryx
10.11. Amazon
10.12. Anova Data
10.13. Apache Software Foundation
10.14. Apple Inc.
10.15. APTEAN
10.16. Athena Health Inc.
10.17. Attunity
10.18. Booz Allen Hamilton
10.19. Bosch
10.20. BGI
10.21. Big Panda
10.22. Bina Technologies Inc.
10.23. Capgemini
10.24. Cerner Corporation
10.25. Cisco Systems
10.26. CLC Bio
10.27. Cloudera
10.28. Cogito Ltd.
10.29. Compuverde
10.30. CRAY Inc.
10.31. Computer Science Corporation
10.32. Crux Informatics
10.33. Ctrl Shift
10.34. Cvidya
10.35. Cybatar
10.36. DataDirect Network
10.37. Data Inc.
10.38. Databricks
10.39. Dataiku
10.40. Datameer
10.41. Data Stax
10.42. Definiens
10.43. Dell EMC
10.44. Deloitte
10.45. Domo
10.46. eClinicalWorks
10.47. Epic Systems Corporation
10.48. Facebook
10.49. Fluentd
10.50. Flytxt
10.51. Fujitsu
10.52. Genalice
10.53. General Electric
10.54. GenomOncology
10.55. GoodData Corporation
10.56. Google
10.57. Greenplum
10.58. Grid Gain Systems
10.59. Groundhog Technologies
10.60. Guavus
10.61. Hack/reduce
10.62. HPCC Systems
10.63. HP Enterprise
10.64. Hitachi Data Systems
10.65. Hortonworks
10.66. IBM
10.67. Illumina Inc
10.68. Imply Corporation
10.69. Informatica
10.70. Inter Systems Corporation
10.71. Intel
10.72. IVD Industry Connectivity Consortium-IICC
10.73. Jasper (Cisco)
10.74. Juniper Networks
10.75. Knome, Inc.
10.76. Leica Biosystems (Danaher)
10.77. Longview
10.78. MapR
10.79. Marklogic
10.80. Mayo Medical Laboratories
10.81. McKesson Corporation
10.82. Medical Information Technology Inc.
10.83. Medio
10.84. Medopad
10.85. Microsoft
10.86. Microstrategy
10.87. MongoDB
10.88. MU Sigma
10.89. N-of-One
10.90. Netapp
10.91. NTT Data
10.92. Open Text (Actuate Corporation)
10.93. Opera Solutions
10.94. Oracle
10.95. Palantir Technologies Inc.
10.96. Pathway Genomics Corporation
10.97. Perkin Elmer
10.98. Pentaho (Hitachi)
10.99. Platfora
10.100. Qlik Tech
10.101. Quality Systems Inc.
10.102. Quantum
10.103. Quertle
10.104. Quest Diagnostics Inc.
10.105. Rackspace
10.106. Red Hat
10.107. Revolution Analytics
10.108. Roche Diagnostics
10.109. Rocket Fuel Inc.
10.110. Salesforce
10.111. SAP
10.112. SAS Institute
10.113. Selventa Inc.
10.114. Sense Networks
10.115. Shanghai Data Exchange
10.116. Sisense
10.117. Social Cops
10.118. Software AG/Terracotta
10.119. Sojern
10.120. Splice Machine
10.121. Splunk
10.122. Sqrrl
10.123. Sumo Logic
10.124. Sunquest Information Systems
10.125. Supermicro
10.126. Tableau Software
10.127. Tableau
10.128. Tata Consultancy Services
10.129. Teradata
10.130. ThetaRay
10.131. Thoughtworks
10.132. Think Big Analytics
10.133. TIBCO
10.134. Tube Mogul
10.135. Verint Systems
10.136. VolMetrix
10.137. VMware
10.138. Wipro
10.139. Workday (Platfora)
10.140. WuXi NextCode Genomics
10.141. Zoomdata

11.0. Overall Big Data Market Analysis and Forecasts 2023-2028

11.1. Global Big Data Marketplace
11.2. Big Data Market by Solution Type
11.3. Regional Big Data Market

12.0. Big Data Market Segment Analysis and Forecasts 2023-2028

12.1. Big Data Market by Management Utilities 2023-2028
- 12.1.1. Market for General Use Analytics Servers and related Hardware 2023-2028
- 12.1.2. Market for Big Data Application Infrastructure and Middleware 2023-2028
- 12.1.3. Market for Data Integration Tools and Data Quality Tools 2023-2028
- 12.1.4. Big Data Market for Database Management Systems 2023-2028
- 12.1.5. Big Data Market for Storage Management 2023-2028
12.2. Big Data Market by Functional Segment 2023-2028
- 12.2.1. Big Data in Supply Chain Management 2023-2028
- 12.2.2. Big Data in Workforce Analytics 2023-2028
- 12.2.3. Big Data in Enterprise Performance Analytics 2023-2028
- 12.2.4. Big Data in Professional Services 2023-2028
- 12.2.5. Big Data in Business Intelligence 2023-2028
- 12.2.6. Big Data in Social Media and Content Analytics 2023-2028
12.3. Market for Big Data in Emerging Technologies 2023-2028
- 12.3.1. Big Data in Internet of Things 2023-2028
- 12.3.2. Big Data in Smart Cities 2023-2028
- 12.3.3. Big Data in Blockchain and Cryptocurrency 2023-2028
- 12.3.4. Big Data in Augmented and Virtual Reality 2023-2028
- 12.3.5. Big Data in Cybersecurity 2023-2028
- 12.3.6. Big Data in Smart Assistants 2023-2028
- 12.3.7. Big Data in Cognitive Computing 2023-2028
- 12.3.8. Big Data in Customer Relationship Management 2023-2028
- 12.3.9. Big Data in Spatial Information 2023-2028
12.4. Big Data Market by Industry Type 2023-2028
12.5. Regional Big Data Markets 2023-2028
- 12.5.1. North America Market for Big Data 2023-2028
- 12.5.2. South American Market for Big Data 2023-2028
- 12.5.3. Western European Market for Big Data 2023-2028
- 12.5.4. Central and Eastern European Market for Big Data 2023-2028
- 12.5.5. Asia Pacific Market for Big Data 2023-2028
- 12.5.6. Middle East and Africa Market for Big Data 2023-2028

13.0. Appendix: Big Data Support of Streaming IoT Data

13.1. Big Data Technology Market Outlook for Streaming IoT Data
- 13.1.1. IoT Data Management is a Ubiquitous Opportunity across Enterprise
- 13.1.2. IoT Data becomes a Big Data Revenue Opportunity
- 13.1.3. Real-time Streaming IoT Data Analytics is a Substantial Opportunity
13.2. Global Streaming IoT Data Analytics Revenue 2023-2028
- 13.2.1. Overall Streaming Data Analytics Revenue for IoT 2023-2028
- 13.2.2. Global Streaming IoT Data Analytics Revenue by App, Software, and Services 2023-2028
- 13.2.3. Global Streaming IoT Data Analytics Revenue in Industry Verticals 2023-2028
  - 13.2.3.1. Streaming IoT Data Analytics Revenue in Retail
    - 13.2.3.1.1. Streaming IoT Data Analytics Revenue by Retail Segment
    - 13.2.3.1.2. Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
  - 13.2.3.2. Streaming IoT Data Analytics Revenue in Telecom and IT
    - 13.2.3.2.1. Streaming IoT Data Analytics Revenue by Telecom and IT Segment
    - 13.2.3.2.2. Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
  - 13.2.3.3. Streaming IoT Data Analytics Revenue in Energy and Utility
    - 13.2.3.3.1. Streaming IoT Data Analytics Revenue by Energy and Utility Segment
    - 13.2.3.3.2. Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
  - 13.2.3.4. Streaming IoT Data Analytics Revenue in Government
    - 13.2.3.4.1. Streaming IoT Data Analytics Revenue by Government Segment
    - 13.2.3.4.2. Streaming IoT Data Analytics Government Revenue by App, Software, and Service
  - 13.2.3.5. Streaming IoT Data Analytics Revenue in Healthcare and Life Science
    - 13.2.3.5.1. Streaming IoT Data Analytics Revenue by Healthcare Segment
  - 13.2.3.6. Streaming IoT Data Analytics Revenue in Manufacturing
    - 13.2.3.6.1. Streaming IoT Data Analytics Revenue by Manufacturing Segment
    - 13.2.3.6.2. Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
  - 13.2.3.7. Streaming IoT Data Analytics Revenue in Transportation & Logistics
    - 13.2.3.7.1. Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
    - 13.2.3.7.2. Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
  - 13.2.3.8. Streaming IoT Data Analytics Revenue in Banking and Finance
    - 13.2.3.8.1. Streaming IoT Data Analytics Revenue by Banking and Finance Segment
    - 13.2.3.8.2. Streaming IoT Data Analytics Revenue by Banking and Finance App, Software, and Service
  - 13.2.3.9. Streaming IoT Data Analytics Revenue in Smart Cities
    - 13.2.3.9.1. Streaming IoT Data Analytics Revenue by Smart City Segment
    - 13.2.3.9.2. Streaming IoT Data Analytics Revenue by Smart Cities App, Software, and Service
  - 13.2.3.10. Streaming IoT Data Analytics Revenue in Automotive
    - 13.2.3.10.1. Streaming IoT Data Analytics Revenue by Automobile Industry Segment
    - 13.2.3.10.2. Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
  - 13.2.3.11. Streaming IoT Data Analytics Revenue in Education
    - 13.2.3.11.1. Streaming IoT Data Analytics Revenue by Education Industry Segment
    - 13.2.3.11.2. Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
  - 13.2.3.12. Streaming IoT Data Analytics Revenue in Outsourcing Services
    - 13.2.3.12.1. Streaming IoT Data Analytics Revenue by Outsourcing Segment
    - 13.2.3.12.2. Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
  - 13.2.3.13. Streaming IoT Data Analytics Revenue by Leading Vendor Platform
13.3. Regional Streaming IoT Data Analytics Revenue 2023-2028
- 13.3.1. Streaming IoT Data Analytics Revenue by Region 2023-2028
- 13.3.2. Streaming IoT Data Analytics in Asia Pac Market Revenue 2023-2028
- 13.3.3. Streaming IoT Data Analytics in Europe Market Revenue 2023-2028
- 13.3.4. Streaming IoT Data Analytics in North America Market Revenue 2023-2028
- 13.3.5. Streaming IoT Data Analytics in Latin America Market Revenue 2023-2028
- 13.3.6. Streaming IoT Data Analytics in MEA Market Revenue 2023-2028
13.4. Streaming IoT Data Analytics Revenue by Country 2023-2028
- 13.4.1. Streaming IoT Data Analytics Revenue by APAC Countries 2023-2028
  - 13.4.1.1. Leading Countries
  - 13.4.1.2. Japan Market Revenue
  - 13.4.1.3. China Market Revenue
  - 13.4.1.4. India Market Revenue
  - 13.4.1.5. Australia Market Revenue
- 13.4.2. Streaming IoT Data Analytics Revenue by Europe Countries 2023-2028
  - 13.4.2.1. Leading Countries
  - 13.4.2.2. Germany Market Revenue
  - 13.4.2.3. UK Market Revenue
  - 13.4.2.4. France Market Revenue
- 13.4.3. Streaming IoT Data Analytics Revenue by North America Countries 2023-2028
  - 13.4.3.1. Leading Countries
  - 13.4.3.2. US Market Revenue
  - 13.4.3.3. Canada Market Revenue
- 13.4.4. Streaming IoT Data Analytics Revenue by Latin America Countries 2023-2028
  - 13.4.4.1. Leading Countries
  - 13.4.4.2. Brazil Market Revenue
  - 13.4.4.3. Mexico Market Revenue
- 13.4.5. Streaming IoT Data Analytics Revenue by ME&A Countries 2023-2028
  - 13.4.5.1. Leading Countries
  - 13.4.5.2. South Africa Market Revenue
  - 13.4.5.3. UAE Market Revenue

Figures

Figure 1: Big Data Ecosystem
Figure 2: Key Characteristics of Big Data
Figure 3: Big Data Use Cases in Industry Verticals
Figure 4: Big Data Stack
Figure 5: Framework for Big Data in IoT
Figure 6: NoSQL vs Legacy DB Performance Comparisons
Figure 7: Big Data Technology Roadmap
Figure 8: The Big Data Value Chain
Figure 9: Big Data Value Flow
Figure 10: Big Data Analytics
Figure 11: Big Data Vendor Ranking Matrix
Figure 12: Global Big Data Market
Figure 13: Big Data Market by Solution Type
Figure 14: Regional Market for Big Data
Figure 15: Big Data Market by Management Utilities
Figure 16: Market for Servers and Other Hardware
Figure 17: Market for Application Infrastructure and Middleware
Figure 18: Big Data Market for Data Integration Tools and Data Quality Tools
Figure 19: Market for Database Management Systems
Figure 20: Market for Storage Management
Figure 21: Big Data Market by Functional Segment
Figure 22: Big Data in Supply Chain Management
Figure 23: Big Data in Workforce Analytics
Figure 24: Big Data in Enterprise Performance Analytics
Figure 25: Big Data in Professional Services
Figure 26: Big Data in Business Intelligence
Figure 27: Big Data in Social Media and Content Analytics
Figure 28: Market for Big Data in Emerging Technologies
Figure 29: Big Data in Internet of Things
Figure 30: Big Data in Smart Cities
Figure 31: Big Data in Blockchain and Cryptocurrency
Figure 32: Big Data in Augmented and Virtual Reality
Figure 33: Big Data in Cybersecurity
Figure 34: Big Data in Smart Assistants
Figure 35: Big Data in Cognitive Computing
Figure 36: Big Data in CRM
Figure 37: Big Data in Spatial Information
Figure 38: Big Data Market by Industry Type
Figure 39: Big Data Applications in Transportation
Figure 40: Big Data Applications in Automobiles
Figure 41: North America Big Data Market by Solution Type
Figure 42: North America Big Data Market by Management Utilities
Figure 43: North America Big Data Market by Functional Segments
Figure 44: North America Market for Big Data in Emerging Technologies
Figure 45: North America Big Data Market by Industry Type
Figure 46: South America Big Data Market by Solution Type
Figure 47: South America Big Data Market by Management Utilities
Figure 48: South America Big Data Market by Functional Segments
Figure 49: South America Market for Big Data in Emerging Technologies
Figure 50: South America Big Data Market by Industry Type
Figure 51: Western Europe Big Data Market by Solution Type
Figure 52: Western Europe Big Data Market by Management Utilities
Figure 53: Western Europe Big Data Market by Functional Segments
Figure 54: Western Europe Market for Big Data in Emerging Technologies
Figure 55: Western Europe Big Data Market by Industry Type
Figure 56: Central and Eastern Europe Big Data Market by Solution Type
Figure 57: Central and Eastern Europe Big Data Market by Management Utilities
Figure 58: Central and Eastern Europe Big Data Market by Functional Segments
Figure 59: Central and Eastern Europe Market for Big Data in Emerging Tech
Figure 60: Central and Eastern Europe Big Data Market by Industry Type
Figure 61: APAC Big Data Market by Solution Type
Figure 62: APAC Big Data Market by Management Utilities
Figure 63: APAC Big Data Market by Functional Segment
Figure 64: APAC Market for Big Data in Emerging Technologies
Figure 65: APAC Big Data Market by Industry Type
Figure 66: MEA Big Data Market by Solution Type
Figure 67: MEA Big Data Market by Management Utilities
Figure 68: MEA Big Data Market by Functional Segments
Figure 69: MEA Market for Big Data in Emerging Technologies
Figure 70: MEA Big Data Market by Industry Type
Figure 71: Streaming IoT Data Sources Compared
Figure 72: Overall Streaming IoT Data Analytics

Tables

Table 1: Global Markets for Big Data
Table 2: Big Data Markets by the Type of Plan
Table 3: Regional Markets for Big Data
Table 4: Big Data Market by Management Utilities
Table 5: Market for Servers and Other Hardware
Table 6: Big Data Market for Application Infrastructure and Middleware
Table 7: Market for Data Integration Tools and Data Quality Tools
Table 8: Market for Database Management Systems
Table 9: Market for Storage Management
Table 10: Big Data Market by Functional Segment
Table 11: Big Data in Supply Chain Management
Table 12: Big Data in Workforce Analytics
Table 13: Big Data in Enterprise Performance Analytics
Table 14: Big Data in Professional Services
Table 15: Big Data in Business Intelligence
Table 16: Big Data in Social Media and Content Analytics
Table 17: Market for Big Data in Emerging Technologies
Table 18: Big Data in Internet of Things
Table 19: Big Data in Smart Cities
Table 20: Big Data in Blockchain Technology and Cryptocurrency
Table 21: Big Data in Augmented and Virtual Reality
Table 22: Big Data in Cybersecurity
Table 23: Big Data in Smart Assistants
Table 24: Big Data in Cognitive Computing
Table 25: Big Data in CRM
Table 26: Big Data in Spatial Information
Table 27: Big Data Market by Industry Type
Table 28: Big Data Applications in Transportation Market
Table 29: Big Data Applications in Automobiles
Table 30: North America Big Data Market by Solution Type
Table 31: North America Big Data Market by Management Utilities
Table 32: North America Big Data Market by Functional Segments
Table 33: North America Market for Big Data in Emerging Technologies
Table 34: North America Big Data Market by Industry Type
Table 35: South America Big Data Market by Solution Type
Table 36: South America Big Data Market by Management Utilities
Table 37: South America Big Data Market by Functional Segments
Table 38: South America Market for Big Data in Emerging Technologies
Table 39: South America Big Data Market by Industry Type
Table 40: Western Europe Big Data Market by Solution Type
Table 41: Western Europe Big Data Market by Management Utilities
Table 42: Western Europe Big Data Market by Functional Segments
Table 43: Western Europe Market for Big Data in Emerging Technologies
Table 44: Western Europe Big Data Market by Industry Type
Table 45: Central and Eastern Europe Big Data Market by Solution Type
Table 46: Central and Eastern Europe Big Data Market by Management Utilities
Table 47: Central and Eastern Europe Big Data Market by Functional Segments
Table 48: Central and Eastern Europe Market for Big Data in Emerging Tech
Table 49: Central and Eastern Europe Big Data Market by Industry Type
Table 50: APAC Big Data Market by Solution Type
Table 51: APAC Big Data Market by Management Utilities
Table 52: APAC Big Data Market by Functional Segments
Table 53: APAC Market for Big Data in Emerging Technologies
Table 54: APAC Big Data Market by Industry Type
Table 55: MEA Big Data Market by Solution Type
Table 56: MEA Big Data Market by Management Utilities
Table 57: MEA Big Data Market by Functional Segments
Table 58: MEA Market for Big Data in Emerging Technologies
Table 59: MEA Big Data Market by Industry Type
Table 60: Global Streaming IoT Data Analytics Revenue by App, Software, and Service
Table 61: Global Streaming IoT Data Analytics Revenue in Industry Vertical
Table 62: Retail Streaming IoT Data Analytics Revenue by Retail Segment
Table 63: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 64: Telecom & IT Streaming IoT Data Analytics Rev by Segment
Table 65: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services
Table 66: Energy & Utilities Streaming IoT Data Analytics Rev by Segment
Table 67: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services
Table 68: Government Streaming IoT Data Analytics Revenue by Segment
Table 69: Government Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 70: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment
Table 71: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 72: Manufacturing Streaming IoT Data Analytics Revenue by Segment
Table 73: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 74: Transportation and Logistics Streaming IoT Data Analytics Revenue by Segment
Table 75: Transportation and Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 76: Banking and Finance Streaming IoT Data Analytics Revenue by Segment
Table 77: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 78: Smart Cities Streaming IoT Data Analytics Revenue by Segment
Table 79: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 80: Automotive Streaming IoT Data Analytics Revenue by Segment
Table 81: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services
Table 82: Education Streaming IoT Data Analytics Revenue by Segment
Table 83: Education Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 84: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment
Table 85: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 86: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 87: Streaming IoT Data Analytics Revenue in Region
Table 88: APAC Streaming IoT Data Analytics Revenue by Solution and Services
Table 89: APAC Streaming IoT Data Analytics Revenue in Industry Verticals
Table 90: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 91: Europe Streaming IoT Data Analytics Revenue by Solution and Services
Table 92: Europe Streaming IoT Data Analytics Revenue in Industry Verticals
Table 93: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 94: North America Streaming IoT Data Analytics Revenue by Solution and Services
Table 95: North America Streaming IoT Data Analytics Revenue in Industry Verticals
Table 96: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 97: Latin America Streaming IoT Data Analytics Revenue by Solution and Services
Table 98: Latin America Streaming IoT Data Analytics Revenue in Industry Verticals
Table 99: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 100: ME&A Streaming IoT Data Analytics Revenue by Solution and Services
Table 101: ME&A Streaming IoT Data Analytics Revenue in Industry Verticals
Table 102: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 103: Streaming IoT Data Analytics Revenue by APAC Countries
Table 104: Japan Streaming IoT Data Analytics Revenue by Solution and Services
Table 105: Japan Streaming IoT Data Analytics Revenue in Industry Verticals
Table 106: China Streaming IoT Data Analytics Revenue by Solution and Services
Table 107: China Streaming IoT Data Analytics Revenue in Industry Verticals
Table 108: India Streaming IoT Data Analytics Revenue by Solution and Services
Table 109: India Streaming IoT Data Analytics Revenue in Industry Verticals
Table 110: Australia Streaming IoT Data Analytics Revenue by Solution and Services
Table 111: Australia Streaming IoT Data Analytics Revenue in Industry Verticals
Table 112: Streaming IoT Data Analytics Revenue by Europe Countries
Table 113: Germany Streaming IoT Data Analytics Revenue by Solution and Services
Table 114: Germany Streaming IoT Data Analytics Revenue in Industry Verticals
Table 115: UK Streaming IoT Data Analytics Revenue by Solution and Services
Table 116: UK Streaming IoT Data Analytics Revenue in Industry Verticals
Table 117: France Streaming IoT Data Analytics Revenue by Solution and Services
Table 118: France Streaming IoT Data Analytics Revenue in Industry Verticals
Table 119: Streaming IoT Data Analytics Revenue by North America Countries
Table 120: US Streaming IoT Data Analytics Revenue by Solution and Services
Table 121: US Streaming IoT Data Analytics Revenue in Industry Verticals
Table 122: Canada Streaming IoT Data Analytics Revenue by Solution and Services
Table 123: Canada Streaming IoT Data Analytics Revenue in Industry Verticals
Table 124: Streaming IoT Data Analytics Revenue by Latin America Countries
Table 125: Brazil Streaming IoT Data Analytics Revenue by Solution and Services
Table 126: Brazil Streaming IoT Data Analytics Revenue in Industry Verticals
Table 127: Mexico Streaming IoT Data Analytics Revenue by Solution and Services
Table 128: Mexico Streaming IoT Data Analytics Revenue in Industry Verticals
Table 129: Streaming IoT Data Analytics Revenue by ME&A Countries
Table 130: South Africa Streaming IoT Data Analytics Revenue by Solution and Services
Table 131: South Africa Streaming IoT Data Analytics Revenue in Industry Verticals
Table 132: UAE Streaming IoT Data Analytics Revenue by Solution and Services
Table 133: UAE Streaming IoT Data Analytics Revenue in Industry Verticals

Big Data Market by Leading Companies, Solutions, Use Cases, Infrastructure, Data Integration, IoT Support, Deployment Model and Services in Industry Verticals 2023 - 2028

Description

Table of Contents

List of Tables

Overview: