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The Big Data Market: Business Case, Market Analysis and Forecasts 2018 – 2023

The Big Data Market: Business Case, Market Analysis and Forecasts 2018 – 2023

Solutions for managing unstructured data are evolving beyond systems aligned towards primarily human-generated data (such as social networking, messaging, and browsing habits) towards increasingly greater emphasis upon machine-generated data found across many industry verticals. For example, manufacturing and healthcare are anticipated to create massive amounts of data that may be rendered useful only through advanced analytics and various Artificial Intelligence (AI) technologies. Emerging networks and systems such as IoT and edge computing will generate substantial amounts of unstructured data, which will present both technical challenges and market opportunities for operating companies and their vendors.

Big Data solution provider dynamics are evolving almost as much as the data management technologies themselves. While some companies rely upon proprietary solutions, many leading companies such as Hortonworks and Cloudera offer products and services primarily based on open source Apache Hadoop technology. One important distinction between market leaders is collaboration vs. competition. For example, Cloudera competes with IBM, Microsoft and others in data science and AI whereas Hortonworks partners with these companies.

In terms of data management and analytics technologies, the Big Data industry is experiencing profound changes across the entire stack including infrastructure, security, analytics, and the application layer. The data services industry as whole is shifting from host-based network topologies to cloud-based, data-centric architectures, thereby creating enormous challenges and opportunities for transitioning and securing data systems. In concert with this shift, Big Data infrastructure will require strategic governance and framework for optimized security.

The Big Data Market: Business Case, Market Analysis and Forecasts 2018 – 2023 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 2018 to 2023. This report also evaluates the components of Big Data infrastructure and security framework. Additional topics covered in this report include:

• Big Data Technology: Analysis of infrastructure and important issues such as security and privacy
• Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market
• The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it
• The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data
• Big Data Vendor Assessment: Assessment of the vendor landscape of leading players within the Big Data market
• Market Analysis and Forecasts: Global and regional assessment of the market size and forecasts for 2018 to 2023

Report Benefits:

• Detailed forecasts 2018 – 2023
• Identify leading market segments
• Learn about Big Data technologies
• Identify key players and strategies
• Understand market drivers and barriers
• Identify opportunities in IoT data analytics
• Understand regulatory issues and initiatives
• Understand business case for enterprise Big Data

Target Audience:

• Data as a Service providers
• Network service providers
• Systems integration companies
• Big Data and Analytics companies
• Advertising and media companies
• Enterprise across all industry verticals
• Cloud and IoT product and service providers

Companies in Report:

• 1010Data (Advance Communication Corp.)
• Accenture
• Actian Corporation
• AdvancedMD
• Alation
• Allscripts Healthcare Solutions
• Alpine Data Labs
• Alteryx
• Amazon
• Anova Data
• Apache Software Foundation
• Apple Inc.
• APTEAN (Formerly CDC Software)
• Athena Health Inc.
• Attunity
• Booz Allen Hamilton
• Bosch Software Innovations: Bosch IoT Suite
• BGI
• Big Panda
• Bina Technologies Inc.
• Capgemini
• Cerner Corporation
• Cisco Systems
• CLC Bio
• Cloudera
• Cogito Ltd.
• Compuverde
• CRAY Inc.
• Computer Science Corporation (CSC)
• Crux Informatics
• Ctrl Shift
• Cvidya
• Cybatar
• DataDirect Network
• Data Inc.
• Databricks
• Dataiku
• Datameer
• Data Stax
• 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
• HPCC Systems
• HP Enterprise
• Hitachi Data Systems
• Hortonworks
• IBM
• Illumina Inc
• Imply Corporation
• Informatica
• Inter Systems Corporation
• Intel
• IVD Industry Connectivity Consortium-IICC
• Jasper (Cisco Jasper)
• Juniper Networks
• Knome,Inc.
• Leica Biosystems (Danaher)
• Longview
• MapR
• Marklogic
• Mayo Medical Laboratories
• McKesson Corporation
• Medical Information Technology Inc. (MEDITECH)
• 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
• Perkin Elmer
• Pentaho (Hitachi)
• Platfora
• Qlik Tech
• Quality Systems Inc (QSI)
• 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 Software
• Tableau
• Tata Consultancy Services
• Teradata
• ThetaRay
• Thoughtworks
• Think Big Analytics
• TIBCO
• Tube Mogul
• Verint Systems
• VolMetrix
• VMware (Part of EMC)
• Wipro
• Workday (Platfora)
• WuXi NextCode Genomics
• Zoomdata


1 Executive Summary
2 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
2.2 Research Background
2.2.1 Scope
2.2.2 Coverage
2.2.3 Company Focus
3 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
3.2 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 will require Lightweight Data Interchange Format
3.2.3 Big Data in IoT will use Lightweight Protocols
3.2.4 Big Data in IoT will need Protocol for Network Interoperability
3.2.5 Big Data in IoT Demands Data Processing on Appropriate Scale
4 Big Data Technology and Business Case
4.1 Big Data Technology
4.1.1 Hadoop
4.1.2 NoSQL
4.1.3 MPP Databases
4.1.4 Others and Emerging Technologies
4.2 Emerging Technologies,Tools, and Techniques
4.2.1 Streaming Analytics
4.2.2 Cloud Technology
4.2.3 Google Search
4.2.4 Customize Analytical Tools
4.2.5 Internet Keywords
4.2.6 Gamification
4.3 Big Data Roadmap
4.4 Market Drivers
4.4.1 Data Volume & 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 Privacy and Security: The ‘Big’ Barrier
4.5.2 Workforce Re-skilling and Organizational Resistance
4.5.3 Lack of Clear Big Data Strategies
4.5.4 Technical Challenges: Scalability & Maintenance
4.5.5 Big Data Development Expertise
5 Key Sectors for Big Data
5.1 Industrial Internet and Machine-to-Machine
5.1.1 Big Data in M2M
5.1.2 Vertical Opportunities
5.2 Retail and Hospitality
5.2.1 Improving Accuracy of Forecasts and Stock Management
5.2.2 Determining Buying Patterns
5.2.3 Hospitality Use Cases
5.2.4 Personalized Marketing
5.3 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 and Pharmaceutical
5.6.1 Drug Development
5.6.2 Medical Data Analytics
5.6.3 Case Study: Identifying Heartbeat Patterns
5.7 Telecommunications
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 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
6 The Big Data Value Chain
6.1 Fragmentation in the Big Data Value
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 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 (MLP)
7.4.14 Radial Basis Functions
7.4.15 Geospatial Predictive Modelling
7.4.16 Regression Analysis
7.4.17 Social Network Analysis
8 Standardization and Regulatory Initiatives
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 Global Markets and Forecasts for Big Data
9.1 Global Big Data Markets 2018 – 2023
9.2 Regional Markets for Big Data 2018 – 2023
9.3 Leading Countries in Big Data
9.3.1 United States
9.3.2 China
9.4 Big Data Revenue by Product Segment 2018 – 2023
9.4.1 Database Management Systems
9.4.2 Big Data Integration Tools
9.4.3 Application Infrastructure and Middleware
9.4.4 Business Intelligence Tools and Analytics Platforms
9.4.5 Big Data in Professional Services
10 Key Big Data Players
10.1 Vendor Assessment Matrix
10.2 1010Data (Advance Communication Corp.)
10.3 Accenture
10.4 Actian Corporation
10.5 AdvancedMD
10.6 Alation
10.7 Allscripts Healthcare Solutions
10.8 Alpine Data Labs
10.9 Alteryx
10.10 Amazon
10.11 Anova Data
10.12 Apache Software Foundation
10.13 Apple Inc.
10.14 APTEAN (Formerly CDC Software)
10.15 Athena Health Inc.
10.16 Attunity
10.17 Booz Allen Hamilton
10.18 Bosch Software Innovations: Bosch IoT Suite
10.19 BGI
10.20 Big Panda
10.21 Bina Technologies Inc.
10.22 Capgemini
10.23 Cerner Corporation
10.24 Cisco Systems
10.25 CLC Bio
10.26 Cloudera
10.27 Cogito Ltd.
10.28 Compuverde
10.29 CRAY Inc.
10.30 Computer Science Corporation (CSC)
10.31 Crux Informatics
10.32 Ctrl Shift
10.33 Cvidya
10.34 Cybatar
10.35 DataDirect Network
10.36 Data Inc.
10.37 Databricks
10.38 Dataiku
10.39 Datameer
10.40 Data Stax
10.41 Definiens
10.42 Dell EMC
10.43 Deloitte
10.44 Domo
10.45 eClinicalWorks
10.46 Epic Systems Corporation
10.47 Facebook
10.48 Fluentd
10.49 Flytxt
10.50 Fujitsu
10.51 Genalice
10.52 General Electric
10.53 GenomOncology
10.54 GoodData Corporation
10.55 Google
10.56 Greenplum
10.57 Grid Gain Systems
10.58 Groundhog Technologies
10.59 Guavus
10.60 Hack/reduce
10.61 HPCC Systems
10.62 HP Enterprise
10.63 Hitachi Data Systems
10.64 Hortonworks
10.65 IBM
10.66 Illumina Inc
10.67 Imply Corporation
10.68 Informatica
10.69 Inter Systems Corporation
10.70 Intel
10.71 IVD Industry Connectivity Consortium-IICC
10.72 Jasper (Cisco Jasper)
10.73 Juniper Networks
10.74 Knome,Inc.
10.75 Leica Biosystems (Danaher)
10.76 Longview
10.77 MapR
10.78 Marklogic
10.79 Mayo Medical Laboratories
10.80 McKesson Corporation
10.81 Medical Information Technology Inc. (MEDITECH)
10.82 Medio
10.83 Medopad
10.84 Microsoft
10.85 Microstrategy
10.86 MongoDB (Formerly 10Gen)
10.87 MU Sigma
10.88 N-of-One
10.89 Netapp
10.90 NTT Data
10.91 Open Text (Actuate Corporation)
10.92 Opera Solutions
10.93 Oracle
10.94 Palantir Technologies Inc.
10.95 Pathway Genomics Corporation
10.96 Perkin Elmer
10.97 Pentaho (Hitachi)
10.98 Platfora
10.99 Qlik Tech
10.100 Quality Systems Inc (QSI)
10.101 Quantum
10.102 Quertle
10.103 Quest Diagnostics Inc.
10.104 Rackspace
10.105 Red Hat
10.106 Revolution Analytics
10.107 Roche Diagnostics
10.108 Rocket Fuel Inc.
10.109 Salesforce
10.110 SAP
10.111 SAS Institute
10.112 Selventa Inc.
10.113 Sense Networks
10.114 Shanghai Data Exchange
10.115 Sisense
10.116 Social Cops
10.117 Software AG/Terracotta
10.118 Sojern
10.119 Splice Machine
10.120 Splunk
10.121 Sqrrl
10.122 Sumo Logic
10.123 Sunquest Information Systems
10.124 Supermicro
10.125 Tableau Software
10.126 Tableau
10.127 Tata Consultancy Services
10.128 Teradata
10.129 ThetaRay
10.130 Thoughtworks
10.131 Think Big Analytics
10.132 TIBCO
10.133 Tube Mogul
10.134 Verint Systems
10.135 VolMetrix
10.136 VMware (Part of EMC)
10.137 Wipro
10.138 Workday (Platfora)
10.139 WuXi NextCode Genomics
10.140 Zoomdata
11 Appendix: Big Data Support of Streaming IoT Data
11.1 Big Data Technology Market Outlook for Streaming IoT Data
11.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
11.1.2 IoT Data becomes a Big Data Revenue Opportunity
11.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity
11.2 Global Streaming IoT Data Analytics Revenue
11.2.1 Overall Streaming Data Analytics Revenue for IoT
11.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
11.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
11.3 Regional Streaming IoT Data Analytics Revenue
11.3.1 Revenue in Region
11.3.2 APAC Market Revenue
11.3.3 Europe Market Revenue
11.3.4 North America Market Revenue
11.3.5 Latin America Market Revenue
11.3.6 ME&A Market Revenue
11.4 Streaming IoT Data Analytics Revenue by Country
11.4.1 Revenue by APAC Countries
11.4.2 Revenue by Europe Countries
11.4.3 Revenue by North America Countries
11.4.4 Revenue by Latin America Countries
11.4.5 Revenue by ME&A Countries
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 2: NoSQL vs Legacy DB Performance Comparisons
Figure 7: Roadmap Big Data Technologies 2018 - 2030
Figure 8: The Big Data Value Chain
Figure 9: Big Data Value Flow
Figure 10: Big Data Analytics
Figure 11: Global Big Data Markets 2018 – 2023
Figure 12: Regional Big Data Markets 2018 – 2023
Figure 13: Database Management Systems 2018 – 2023
Figure 14: Data Integration and Quality Tools 2018 – 2023
Figure 15: Application Infrastructure and Middleware 2018 – 2023
Figure 16: Business Intelligence Tools and Analytics Platforms 2018 – 2023
Figure 17: Big Data in Professional Services 2018 – 2023
Figure 18: Big Data Vendor Ranking Matrix
Figure 19: Streaming IoT Data Sources Compared
Figure 20: Overall Streaming IoT Data Analytics
Tables
Table 1: Global Big Data Markets 2018 – 2023
Table 2: Regional Big Data Markets 2018 – 2023
Table 3: Big Data Markets by Product Segments 2018 – 2023
Table 4: Database Management Systems 2018 – 2023
Table 5: Data Integration Tools 2018 – 2023
Table 6: Application Infrastructure and Middleware 2018 – 2023
Table 7: Business Intelligence Tools and Analytics Platforms 2018 – 2023
Table 8: Big Data in Professional Services 2018 – 2023
Table 9: Big Data Analytics Platforms by Company
Table 10: Global Streaming IoT Data Analytics Revenue by App, Software, and Service
Table 11: Global Streaming IoT Data Analytics Revenue in Industry Vertical
Table 12: Retail Streaming IoT Data Analytics Revenue by Retail Segment
Table 13: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 14: Telecom & IT Streaming IoT Data Analytics Rev by Segment
Table 15: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services
Table 16: Energy & Utilities Streaming IoT Data Analytics Rev by Segment
Table 17: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services
Table 18: Government Streaming IoT Data Analytics Revenue by Segment
Table 19: Government Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 20: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment
Table 21: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 22: Manufacturing Streaming IoT Data Analytics Revenue by Segment
Table 23: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 24: Transportation & Logistics Streaming IoT Data Analytics Revenue by Segment
Table 25: Transportation & Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 26: Banking and Finance Streaming IoT Data Analytics Revenue by Segment
Table 27: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 28: Smart Cities Streaming IoT Data Analytics Revenue by Segment
Table 29: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 30: Automotive Streaming IoT Data Analytics Revenue by Segment
Table 31: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services
Table 32: Education Streaming IoT Data Analytics Revenue by Segment
Table 33: Education Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 34: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment
Table 35: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 36: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 37: Streaming IoT Data Analytics Revenue in Region
Table 38: APAC Streaming IoT Data Analytics Revenue by Solution and Services
Table 39: APAC Streaming IoT Data Analytics Revenue in Industry Vertical
Table 40: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 41: Europe Streaming IoT Data Analytics Revenue by Solution and Services
Table 42: Europe Streaming IoT Data Analytics Revenue in Industry Vertical
Table 43: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 44: North America Streaming IoT Data Analytics Revenue by Solution and Services
Table 45: North America Streaming IoT Data Analytics Revenue in Industry Vertical
Table 46: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 47: Latin America Streaming IoT Data Analytics Revenue by Solution and Services
Table 48: Latin America Streaming IoT Data Analytics Revenue in Industry Vertical
Table 49: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 50: ME&A Streaming IoT Data Analytics Revenue by Solution and Services
Table 51: ME&A Streaming IoT Data Analytics Revenue in Industry Vertical
Table 52: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 53: Streaming IoT Data Analytics Revenue by APAC Countries
Table 54: Japan Streaming IoT Data Analytics Revenue by Solution and Services
Table 55: Japan Streaming IoT Data Analytics Revenue in Industry Vertical
Table 56: China Streaming IoT Data Analytics Revenue by Solution and Services
Table 57: China Streaming IoT Data Analytics Revenue in Industry Vertical
Table 58: India Streaming IoT Data Analytics Revenue by Solution and Services
Table 59: India Streaming IoT Data Analytics Revenue in Industry Vertical
Table 60: Australia Streaming IoT Data Analytics Revenue by Solution and Services
Table 61: Australia Streaming IoT Data Analytics Revenue in Industry Vertical
Table 62: Streaming IoT Data Analytics Revenue by Europe Countries
Table 63: Germany Streaming IoT Data Analytics Revenue by Solution and Services
Table 64: Germany Streaming IoT Data Analytics Revenue in Industry Vertical
Table 65: UK Streaming IoT Data Analytics Revenue by Solution and Services
Table 66: UK Streaming IoT Data Analytics Revenue in Industry Vertical
Table 67: France Streaming IoT Data Analytics Revenue by Solution and Services
Table 68: France Streaming IoT Data Analytics Revenue in Industry Vertical
Table 69: Streaming IoT Data Analytics Revenue by North America Countries
Table 70: US Streaming IoT Data Analytics Revenue by Solution and Services
Table 71: US Streaming IoT Data Analytics Revenue in Industry Vertical
Table 72: Canada Streaming IoT Data Analytics Revenue by Solution and Services
Table 73: Canada Streaming IoT Data Analytics Revenue in Industry Vertical
Table 74: Streaming IoT Data Analytics Revenue by Latin America Countries
Table 75: Brazil Streaming IoT Data Analytics Revenue by Solution and Services
Table 76: Brazil Streaming IoT Data Analytics Revenue in Industry Vertical
Table 77: Mexico Streaming IoT Data Analytics Revenue by Solution and Services
Table 78: Mexico Streaming IoT Data Analytics Revenue in Industry Vertical
Table 79: Streaming IoT Data Analytics Revenue by ME&A Countries
Table 80: South Africa Streaming IoT Data Analytics Revenue by Solution and Services
Table 81: South Africa Streaming IoT Data Analytics Revenue in Industry Vertical
Table 82: UAE Streaming IoT Data Analytics Revenue by Solution and Services
Table 83: UAE Streaming IoT Data Analytics Revenue in Industry Vertical

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