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ビッグデータ市場:主要企業毎、ソリューション毎、利用ケース毎、ビジネスケース毎、インフラストラクチャ毎、技術統合毎、産業垂直市場、地域・国毎 2019-2024年

Big Data Market by Leading Companies, Solutions, Use Cases, Business Cases, Infrastructure, Technology Integration, Industry Verticals, Regions and Countries 2019 – 2024

 

出版社 出版年月電子版価格 ページ数図表数
Mind Commerce
マインドコマース
2019年3月US$1,995
シングルユーザライセンス
343 205

サマリー

米国調査会社マインドコマース(Mind Commerce)の調査レポート「ビッグデータ市場:主要企業毎、ソリューション毎、利用ケース毎、ビジネスケース毎、インフラストラクチャ毎、技術統合毎、産業垂直市場、地域・国毎 2019-2024年」は、世界のビッグデータ市場を詳細に調査し、ビジネスケースの課題と分析、用途の利用ケース、ベンダの概要、バリューチェーン分析、定量的市場査定、2019-2024年の市場予測を提供している。ビッグデータインフラストラクチャとセキュリティフレームワークについても査定している。以下のようなトピックについても記載している。

  • ビッグデータ技術:セキュリティやプライバシーなどのインフラストラクチャと重要課題の分析
  • ビッグデータの利用ケース:ビッグデータ市場の投資セクターや特定の利用ケースの概観
  • ビッグデータのバリューチェーン:ビッグデータのバリューチェーンと主要関連企業の分析
  • ビッグデータのビジネスケース:ビッグデータのビジネスケース、成長促進要因、阻害要因の評価
  • ビッグデータのベンダ査定:ビッグデータ市場の主要企業のベンダ評価
  • 市場分析と予測:2019-2024年の世界と地域毎の市場規模査定と予測

Overview:

The big data market consists of infrastructure providers, data centers, data as a service providers, and other vendors. 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 such as machine learning and cognitive computing. The long-term prospect for these technologies is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services.

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. Emerging big data tools such as open APIs much be implemented to facilitate data capture and processing with the ability to perform localized processing and decision making.

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. Mind Commerce sees the data services industry as whole 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.

Advanced analytics provide the ability to make raw data meaningful and useful as information for decision-making purposes. AI enhances the ability for big data analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service. However, real-time data is anticipated to become a highly valuable aspect of all solutions as a determinant of user behavior, application effectiveness, and identifier of new and enhanced mobile/wireless and/or IoT related apps and services.

Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) are perhaps best known as data intensive immersive technologies that require high bandwidth for operations. One of the least evaluated opportunities is the market opportunities associated with visualizing data and information in AR, VR, and MR environments. Much of this data will be unstructured, requiring big data analytics tools to process, categorize, and display in a meaningful manner. This will allow the end user to visualize and utilize information in ways previously inconceivable.

In addition, Mind Commerce sees leading data management companies developing tools for improved general data visualization, facilitating improved information interpretation and decision making. Coupled with AI and cognitive computing, the field of advanced data visualization and analytics known as augmented analytics is transforming otherwise useless data into highly valuable and actionable smart data, often enabling dynamic decision making that may positively impact business operations as processes, transactions, and other events occur. Much of this smart data will monetized in a data as a service approach by enterprise thanks to leading big data service provider solutions.

Big Data Market by Leading Companies, Solutions, Use Cases, Business Cases, Infrastructure, Technology Integration, Industry Verticals, Regions and Countries 2019 – 2024 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 2019 to 2024.  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 2019 to 2024

This report also includes analysis and forecasts for streaming data analytics. IoT facilitates vast amounts of fast-moving data from sensors and devices. For many use cases, data flows constantly from the device or sensor to the network and sometimes back to the device. In some cases, these streams of data are simply stored (for potential later use) and in other cases there is a need for real-time data processing and analytics.

Report Findings:

  • Big data in cognitive computing will reach $12.6B USD globally by 2024
  • Big data application infrastructure will reach $9.1B USD globally by 2024
  • Big data in public safety and homeland security will reach $5.3B USD globally by 2024
  • 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

Report Benefits:

  • Detailed forecasts 2019 – 2024
  • 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:

  • IoT companies
  • 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
 



目次

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 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

4.0          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      Others and Emerging 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      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

5.0          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

6.0          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

7.0          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 (MLP)
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          KEY BIG DATA COMPANIES AND SOLUTIONS
9.1          Vendor Assessment Matrix
9.2          1010Data (Advance Communication Corp.)
9.3          Accenture
9.4          Actian Corporation
9.5          AdvancedMD
9.6          Alation
9.7          Allscripts Healthcare Solutions
9.8          Alpine Data Labs
9.9          Alteryx
9.10        Amazon
9.11        Anova Data
9.12        Apache Software Foundation
9.13        Apple Inc.
9.14        APTEAN (Formerly CDC Software)
9.15        Athena Health Inc.
9.16        Attunity
9.17        Booz Allen Hamilton
9.18        Bosch Software Innovations: Bosch IoT Suite
9.19        BGI
9.20        Big Panda
9.21        Bina Technologies Inc.
9.22        Capgemini
9.23        Cerner Corporation
9.24        Cisco Systems
9.25        CLC Bio
9.26        Cloudera
9.27        Cogito Ltd.
9.28        Compuverde
9.29        CRAY Inc.
9.30        Computer Science Corporation (CSC)
9.31        Crux Informatics
9.32        Ctrl Shift
9.33        Cvidya
9.34        Cybatar
9.35        DataDirect Network
9.36        Data Inc.
9.37        Databricks
9.38        Dataiku
9.39        Datameer
9.40        Data Stax
9.41        Definiens
9.42        Dell EMC
9.43        Deloitte
9.44        Domo
9.45        eClinicalWorks
9.46        Epic Systems Corporation
9.47        Facebook
9.48        Fluentd
9.49        Flytxt
9.50        Fujitsu
9.51        Genalice
9.52        General Electric
9.53        GenomOncology
9.54        GoodData Corporation
9.55        Google
9.56        Greenplum
9.57        Grid Gain Systems
9.58        Groundhog Technologies
9.59        Guavus
9.60        Hack/reduce
9.61        HPCC Systems
9.62        HP Enterprise
9.63        Hitachi Data Systems
9.64        Hortonworks
9.65        IBM
9.66        Illumina Inc
9.67        Imply Corporation
9.68        Informatica
9.69        Inter Systems Corporation
9.70        Intel
9.71        IVD Industry Connectivity Consortium-IICC
9.72        Jasper (Cisco Jasper)
9.73        Juniper Networks
9.74        Knome,Inc.
9.75        Leica Biosystems (Danaher)
9.76        Longview
9.77        MapR
9.78        Marklogic
9.79        Mayo Medical Laboratories
9.80        McKesson Corporation
9.81        Medical Information Technology Inc. (MEDITECH)
9.82        Medio
9.83        Medopad
9.84        Microsoft
9.85        Microstrategy
9.86        MongoDB (Formerly 10Gen)
9.87        MU Sigma
9.88        N-of-One
9.89        Netapp
9.90        NTT Data
9.91        Open Text (Actuate Corporation)
9.92        Opera Solutions
9.93        Oracle
9.94        Palantir Technologies Inc.
9.95        Pathway Genomics Corporation
9.96        Perkin Elmer
9.97        Pentaho (Hitachi)
9.98        Platfora
9.99        Qlik Tech
9.100     Quality Systems Inc (QSI)
9.101     Quantum
9.102     Quertle
9.103     Quest Diagnostics Inc.
9.104     Rackspace
9.105     Red Hat
9.106     Revolution Analytics
9.107     Roche Diagnostics
9.108     Rocket Fuel Inc.
9.109     Salesforce
9.110     SAP
9.111     SAS Institute
9.112     Selventa Inc.
9.113     Sense Networks
9.114     Shanghai Data Exchange
9.115     Sisense
9.116     Social Cops
9.117     Software AG/Terracotta
9.118     Sojern
9.119     Splice Machine
9.120     Splunk
9.121     Sqrrl
9.122     Sumo Logic
9.123     Sunquest Information Systems
9.124     Supermicro
9.125     Tableau Software
9.126     Tableau
9.127     Tata Consultancy Services
9.128     Teradata
9.129     ThetaRay
9.130     Thoughtworks
9.131     Think Big Analytics
9.132     TIBCO
9.133     Tube Mogul
9.134     Verint Systems
9.135     VolMetrix
9.136     VMware (Part of EMC)
9.137     Wipro
9.138     Workday (Platfora)
9.139     WuXi NextCode Genomics
9.140     Zoomdata

10.0        OVERALL BIG DATA MARKET ANALYSIS AND FORECASTS 2019 – 2024
10.1        Global Big Data Marketplace
10.2        Big Data Market by Solution Type
10.3        Regional Big Data Market

11.0        BIG DATA MARKET SEGMENT ANALYSIS AND FORECASTS 2019 – 2024
11.1        Big Data Market by Management Utilities 2019 – 2024
11.1.1    Market for Servers and Other Hardware
11.1.2    Market for Big Data Application Infrastructure and Middleware
11.1.3    Market for Data Integration Tools & Data Quality Tools
11.1.4    Big Data Market for Database Management Systems
11.1.5    Big Data Market for Storage Management
11.2        Big Data Market by Functional Segment 2019 – 2024
11.2.1    Big Data in Supply Chain Management
11.2.2    Big Data in Workforce Analytics
11.2.3    Big Data in Enterprise Performance Analytics
11.2.4    Big Data in Professional Services
11.2.5    Big Data in Business Intelligence
11.2.6    Big Data in Social Media & Content Analytics
11.3        Market for Big Data in Emerging Technologies 2019 – 2024
11.3.1    Big Data in Internet of Things
11.3.2    Big Data in Smart Cities
11.3.3    Big Data in Blockchain and Cryptocurrency
11.3.4    Big Data in Augmented and Virtual Reality
11.3.5    Big Data in Cybersecurity
11.3.6    Big Data in Smart Assistants
11.3.7    Big Data in Cognitive Computing
11.3.8    Big Data in CRM
11.3.9    Big Data in Spatial Information
11.4        Big Data Market by Industry Type 2019 – 2024
11.5        Regional Big Data Markets 2019 – 2024
11.5.1    North America Market for Big Data
11.5.2    South American Market for Big Data
11.5.3    Western European Market for Big Data
11.5.4    Central and Eastern European Market for Big Data
11.5.5    APAC Market for Big Data
11.5.6    MEA Market for Big Data

12.0        APPENDIX: BIG DATA SUPPORT OF STREAMING IOT DATA
12.1        Big Data Technology Market Outlook for Streaming IoT Data
12.1.1    IoT Data Management is a Ubiquitous Opportunity across Enterprise
12.1.2    IoT Data becomes a Big Data Revenue Opportunity
12.1.3    Real-time Streaming IoT Data Analytics is a Substantial Opportunity
12.2        Global Streaming IoT Data Analytics Revenue
12.2.1    Overall Streaming Data Analytics Revenue for IoT
12.2.2    Global Streaming IoT Data Analytics Revenue by App, Software, and Services
12.2.3    Global Streaming IoT Data Analytics Revenue in Industry Verticals
12.2.3.1                Streaming IoT Data Analytics Revenue in Retail
12.2.3.1.1             Streaming IoT Data Analytics Revenue by Retail Segment
12.2.3.1.2             Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
12.2.3.2                Streaming IoT Data Analytics Revenue in Telecom and IT
12.2.3.2.1             Streaming IoT Data Analytics Revenue by Telecom and IT Segment
12.2.3.2.2             Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
12.2.3.3                Streaming IoT Data Analytics Revenue in Energy and Utility
12.2.3.3.1             Streaming IoT Data Analytics Revenue by Energy and Utility Segment
12.2.3.3.2             Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
12.2.3.4                Streaming IoT Data Analytics Revenue in Government
12.2.3.4.1             Streaming IoT Data Analytics Revenue by Government Segment
12.2.3.4.2             Streaming IoT Data Analytics Government Revenue by App, Software, and Service
12.2.3.5                Streaming IoT Data Analytics Revenue in Healthcare and Life Science
12.2.3.5.1             Streaming IoT Data Analytics Revenue by Healthcare Segment
12.2.3.6                Streaming IoT Data Analytics Revenue in Manufacturing
12.2.3.6.1             Streaming IoT Data Analytics Revenue by Manufacturing Segment
12.2.3.6.2             Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
12.2.3.7                Streaming IoT Data Analytics Revenue in Transportation & Logistics
12.2.3.7.1             Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
12.2.3.7.2             Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
12.2.3.8                Streaming IoT Data Analytics Revenue in Banking and Finance
12.2.3.8.1             Streaming IoT Data Analytics Revenue by Banking and Finance Segment
12.2.3.8.2             Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service
12.2.3.9                Streaming IoT Data Analytics Revenue in Smart Cities
12.2.3.9.1             Streaming IoT Data Analytics Revenue by Smart City Segment
12.2.3.10              Streaming IoT Data Analytics Revenue in Automotive
12.2.3.10.1          Streaming IoT Data Analytics Revenue by Automobile Industry Segment
12.2.3.10.2          Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
12.2.3.11              Streaming IoT Data Analytics Revenue in Education
12.2.3.11.1          Streaming IoT Data Analytics Revenue by Education Industry Segment
12.2.3.11.2          Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
12.2.3.12              Streaming IoT Data Analytics Revenue in Outsourcing Services
12.2.3.12.1          Streaming IoT Data Analytics Revenue by Outsourcing Segment
12.2.3.12.2          Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
12.2.3.13              Streaming IoT Data Analytics Revenue by Leading Vendor Platform
12.3        Regional Streaming IoT Data Analytics Revenue
12.3.1    Revenue in Region
12.3.2    APAC Market Revenue
12.3.3    Europe Market Revenue
12.3.4    North America Market Revenue
12.3.5    Latin America Market Revenue
12.3.6    ME&A Market Revenue
12.4        Streaming IoT Data Analytics Revenue by Country
12.4.1    Revenue by APAC Countries
12.4.1.1                Leading Countries
12.4.1.2                Japan Market Revenue
12.4.1.3                China Market Revenue
12.4.1.4                India Market Revenue
12.4.1.5                Australia Market Revenue
12.4.2    Revenue by Europe Countries
12.4.2.1                Leading Countries
12.4.2.2                Germany Market Revenue
12.4.2.3                UK Market Revenue
12.4.2.4                France Market Revenue
12.4.3    Revenue by North America Countries
12.4.3.1                Leading Countries
12.4.3.2                US Market Revenue
12.4.3.3                Canada Market Revenue
12.4.4    Revenue by Latin America Countries
12.4.4.1                Leading Countries
12.4.4.2                Brazil Market Revenue
12.4.4.3                Mexico Market Revenue
12.4.5    Revenue by ME&A Countries
12.4.5.1                Leading Countries
12.4.5.2                South Africa Market Revenue
12.4.5.3                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: 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: 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 & Middleware
Figure 18: Big Data Market for Data Integration Tools & 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 & 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 & Middleware
Table 7: Market for Data Integration Tools & 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 & 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 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 28: North America Big Data Market by Solution Type
Table 29: North America Big Data Market by Management Utilities
Table 30: North America Big Data Market by Functional Segments
Table 31: North America Market for Big Data in Emerging Technologies
Table 32: North America Big Data Market by Industry Type
Table 33: South America Big Data Market by Solution Type
Table 34: South America: Big Data Market by Management Utilities
Table 35: South America Big Data Market by Functional Segments
Table 36: South America Market for Big Data in Emerging Technologies
Table 37: South America Big Data Market by Industry Type
Table 38: Western Europe Big Data Market by Solution Type
Table 39: Western Europe Big Data Market by Management Utilities
Table 40: Western Europe Big Data Market by Functional Segments
Table 41: Western Europe Market for Big Data in Emerging Technologies
Table 42: Western Europe Big Data Market by Industry Type
Table 43: Central and Eastern Europe Big Data Market by Solution Type
Table 44: Central and Eastern Europe Big Data Market by Management Utilities
Table 45: Central and Eastern Europe Big Data Market by Functional Segments
Table 46: Central and Eastern Europe Market for Big Data in Emerging Tech
Table 47: Central and Eastern Europe Big Data Market by Industry Type
Table 48: APAC Big Data Market by Solution Type
Table 49: APAC Big Data Market by Management Utilities
Table 50: APAC Big Data Market by Functional Segments
Table 51: APAC Market for Big Data in Emerging Technologies
Table 52: APAC Big Data Market by Industry Type
Table 53: MEA Big Data Market by Solution Type
Table 54: MEA Big Data Market by Management Utilities
Table 55: MEA Big Data Market by Functional Segments
Table 56: MEA Market for Big Data in Emerging Technologies
Table 57: 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 19: 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 & Logistics Streaming IoT Data Analytics Revenue by Segment
Table 75: Transportation & 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 Vertical
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 Vertical
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 Vertical
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 Vertical
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 Vertical
Table 102: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 103: Streaming IoT Data Analytics Revenue by APAC Countries
Table 54: Japan Streaming IoT Data Analytics Revenue by Solution and Services
Table 105: Japan Streaming IoT Data Analytics Revenue in Industry Vertical
Table 106: China Streaming IoT Data Analytics Revenue by Solution and Services
Table 107: China Streaming IoT Data Analytics Revenue in Industry Vertical
Table 108: India Streaming IoT Data Analytics Revenue by Solution and Services
Table 109: India Streaming IoT Data Analytics Revenue in Industry Vertical
Table 110: Australia Streaming IoT Data Analytics Revenue by Solution and Services
Table 111: Australia Streaming IoT Data Analytics Revenue in Industry Vertical
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 Vertical
Table 115: UK Streaming IoT Data Analytics Revenue by Solution and Services
Table 116: UK Streaming IoT Data Analytics Revenue in Industry Vertical
Table 117: France Streaming IoT Data Analytics Revenue by Solution and Services
Table 118: France Streaming IoT Data Analytics Revenue in Industry Vertical
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 Vertical
Table 122: Canada Streaming IoT Data Analytics Revenue by Solution and Services
Table 123: Canada Streaming IoT Data Analytics Revenue in Industry Vertical
Table 124: Streaming IoT Data Analytics Revenue by Latin America Countries
Table 75: Brazil Streaming IoT Data Analytics Revenue by Solution and Services
Table 126: Brazil Streaming IoT Data Analytics Revenue in Industry Vertical
Table 127: Mexico Streaming IoT Data Analytics Revenue by Solution and Services
Table 128: Mexico Streaming IoT Data Analytics Revenue in Industry Vertical
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 Vertical
Table 132: UAE Streaming IoT Data Analytics Revenue by Solution and Services
Table 133: UAE Streaming IoT Data Analytics Revenue in Industry Vertical
 

 

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