ビッグデータの世界市場:動向・予測 2021–2028

■ 英語タイトル:Big Data Market Outlook and Forecasts 2021 – 2028

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■ 発行日:2021年1月
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*** レポート概要(サマリー)***

Mind Commerce社の本調査レポートは、ビッグデータの世界市場を調査対象とし、エグゼクティブサマリー、イントロダクション、市場の課題・機会、ビッグデータ技術・ビジネスケース、ビッグデータ主要分野、バリューチェーン、ビッグデータ分析、規格化・規制問題、産業別用途、主要企業・ソリューション、市場分析・予測(管理ユーティリティ別、機能別、実現技術別、産業別、地域別)など、以下の項目を掲載しています。

・エグゼクティブサマリー
・イントロダクション
・市場の課題・機会
・ビッグデータ技術・ビジネスケース
・ビッグデータ主要分野
・バリューチェーン
・ビッグデータ分析
・規格化・規制問題
・産業別用途
・主要企業・ソリューション
・市場分析・予測(管理ユーティリティ別、機能別、実現技術別、産業別、地域別)

Big data can come from conventional sources, including equipment monitoring and maintenance records. Data from these sources is generally captured and used as required, but until now, it was not always preserved for long-term use. With the proper infrastructure and tools, natural resources organizations can gain measurable value from all of these data sources. As the quantity of data, the quantity of sources, and the regularity of data updates increases, so too does the value of big data.
Big data and predictive analysis tools in retail may be used to leverage unstructured data that seems useless to optimize sales operations. According to a patent filed by Amazon, their invention will anticipate what customers buy to decrease shipping time. Amazon says the shipping system works by analyzing customer data like, purchasing history, product searches, wish lists and shopping cart contents. According to the patent filing, items would be moved from Amazon’s fulfillment center to a shipping hub close to the customer in anticipation of an eventual purchase.

Big data and analytics will increase in importance as IoT evolves to become more commonplace. Data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on a real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes. Where will the data come from? Mind Commerce sees certain industry verticals as early leaders in driving massive data. Those leading areas are Connected Homes, Connected Vehicles, and Industrial Automation. A fourth area to watch is global Smart City initiatives.

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 2021 to 2028. This report also evaluates the components of big data infrastructure and security framework.

Select Report Findings:
• The global big data market will approach $211.5 billion by 2028 and the market will grow at 20.8% CAGR during 2021 – 2028
• The big data management utility is the largest plan with 57% of the total market in 2021. The hosted solutions are expected to grow with CAGR of 43.1% during 2021 – 2028
• Business intelligence is the largest functional segment with 35% of the total market in 2021
• CRM is the largest segment technology segment with 36% of the total market in 2021
• Media is the largest segment industry segment with 12% of the total market in 2021
• North America is the largest region with a 41% of the total market in 2021

*** レポート目次(コンテンツ)***

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 2021 – 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 2021 – 2028
12.1 Big Data Market by Management Utilities 2021 – 2028
12.1.1 Market for General Use Analytics Servers and related Hardware
12.1.2 Market for Big Data Application Infrastructure and Middleware
12.1.3 Market for Data Integration Tools and Data Quality Tools
12.1.4 Big Data Market for Database Management Systems
12.1.5 Big Data Market for Storage Management
12.2 Big Data Market by Functional Segment 2021 – 2028
12.2.1 Big Data in Supply Chain Management
12.2.2 Big Data in Workforce Analytics
12.2.3 Big Data in Enterprise Performance Analytics
12.2.4 Big Data in Professional Services
12.2.5 Big Data in Business Intelligence
12.2.6 Big Data in Social Media and Content Analytics
12.3 Market for Big Data in Emerging Technologies 2021 – 2028
12.3.1 Big Data in Internet of Things
12.3.2 Big Data in Smart Cities
12.3.3 Big Data in Blockchain and Cryptocurrency
12.3.4 Big Data in Augmented and Virtual Reality
12.3.5 Big Data in Cybersecurity
12.3.6 Big Data in Smart Assistants
12.3.7 Big Data in Cognitive Computing
12.3.8 Big Data in CRM
12.3.9 Big Data in Spatial Information
12.4 Big Data Market by Industry Type 2021 – 2028
12.5 Regional Big Data Markets 2021 – 2028
12.5.1 North America Market for Big Data
12.5.2 South American Market for Big Data
12.5.3 Western European Market for Big Data
12.5.4 Central and Eastern European Market for Big Data
12.5.5 Asia Pacific Market for Big Data
12.5.6 Middle East and Africa Market for Big Data
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
13.2.1 Overall Streaming Data Analytics Revenue for IoT
13.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
13.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
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 & 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
13.3.1 Revenue in Region
13.3.2 APAC Market Revenue
13.3.3 Europe Market Revenue
13.3.4 North America Market Revenue
13.3.5 Latin America Market Revenue
13.3.6 ME&A Market Revenue
13.4 Streaming IoT Data Analytics Revenue by Country
13.4.1 Revenue by APAC Countries
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 Revenue by Europe Countries
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 Revenue by North America Countries
13.4.3.1 Leading Countries
13.4.3.2 US Market Revenue
13.4.3.3 Canada Market Revenue
13.4.4 Revenue by Latin America Countries
13.4.4.1 Leading Countries
13.4.4.2 Brazil Market Revenue
13.4.4.3 Mexico Market Revenue
13.4.5 Revenue by ME&A Countries
13.4.5.1 Leading Countries
13.4.5.2 South Africa Market Revenue
13.4.5.3 UAE Market Revenue



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