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H&Iグローバルリサーチ株式会社（本社：東京都中央区）は、この度、MarketsandMarketsが発行した「予測分析の世界市場予測（～2022年）」調査レポートの取扱・販売をMarketReport.jpサイト（取扱レポート数：15万件以上、日本最大級）にて開始しました。国内企業の海外進出、新規ビジネス機会発掘、競合他社分析などに役立つ情報レポートです。

***** レポート概要 *****
◆日本語タイトル：予測分析の世界市場予測（～2022年）
◆英語タイトル：Predictive Analytics Market by Type (Services, Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics)), Deployment, Organization, Industry Vertical – Global Forecast to 2022
◆商品コード：MAM-TC2046
◆発行会社（調査会社）：MarketsandMarkets
◆ページ数：165
◆レポート言語：英語
◆レポート形式：PDF
◆納品方法：Eメール
◆調査対象地域：グローバル
◆産業分野：IT

***** レポート目次(一部抜粋) *****
1 Introduction (Page No. – 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology (Page No. – 19)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.1.1 Key Industry Insights
2.2 Market Size Estimation
2.3 Microquadrant Methodology
2.3.1 Vendor Inclusion Criteria
2.4 Research Assumptions
2.5 Limitations

3 Executive Summary (Page No. – 27)

4 Premium Insights (Page No. – 32)
4.1 Attractive Opportunities in the Predictive Analytics Market
4.2 Predictive Analytics Market, By Region
4.3 Predictive Analytics Market, By Industry Vertical and Region
4.4 Life Cycle Analysis, By Region, 2017

5 Market Overview and Industry Trends (Page No. – 36)
5.1 Market Overview
5.1.1 Introduction
5.1.2 Market Dynamics
5.1.2.1 Drivers
5.1.2.1.1 Increasing Adoption of Predictive Analytics for Forecasting Future Market Trends
5.1.2.1.2 Enterprises’ Need for Ensuring Market Competitiveness
5.1.2.1.3 Growing Adoption of Big Data and Other Related Technologies
5.1.2.2 Restraints
5.1.2.2.1 Changing Regional Data Regulations Leading to the Time-Consuming Restructuring of Predictive Models
5.1.2.3 Opportunities
5.1.2.3.1 Increasing Awareness Accelerating the Development of Better Analytics Tools
5.1.2.3.2 Advent of Machine Learning and AI
5.1.2.4 Challenges
5.1.2.4.1 Ownership and Privacy of the Collected Data
5.1.2.4.2 Data Ecosystems and Exchanges
5.2 Industry Trends
5.2.1 Predictive Analytics: Use Cases
5.2.1.1 Use Case #1: Deliver Personalized Interactions
5.2.1.2 Use Case #2: Understand Buying Patterns
5.2.1.3 Use Case #3: Increase Revenue and Decrease Customers’ Business Inefficiencies
5.2.1.4 Use Case #4: Market Basket Analysis
5.3 Predictive Analytics Process
5.4 Regulatory Implications
5.4.1 Sarbanes-Oxley Act of 2002
5.4.2 General Data Protection Regulation
5.4.3 Basel

6 Predictive Analytics Market Analysis, By Type (Page No. – 46)
6.1 Introduction
6.2 Solutions
6.2.1 Financial Analytics
6.2.1.1 Fraud Detection
6.2.1.2 Profitability Management
6.2.1.3 Governance and Compliance Management
6.2.1.4 Others
6.2.2 Risk Analytics
6.2.2.1 Cyber Risk Management
6.2.2.2 Operational Risk Management
6.2.2.3 Credit and Market Risk Management
6.2.2.4 Others
6.2.3 Marketing Analytics
6.2.3.1 Predictive Modelling
6.2.3.2 Yield Management
6.2.3.3 Product and Service Development Strategies
6.2.3.4 Others
6.2.4 Sales Analytics
6.2.4.1 Sales Life Cycle Management
6.2.4.2 Sales Rep Efficiency Management
6.2.4.3 Others
6.2.5 Customer Analytics
6.2.5.1 Customer Segmentation and Clustering
6.2.5.2 Customer Behavior Analysis
6.2.5.3 Monitoring Customer Loyalty and Satisfaction
6.2.5.4 Others
6.2.6 Web and Social Media Analytics
6.2.6.1 Social Media Management
6.2.6.2 Search Engine Optimization
6.2.6.3 Performance Monitoring
6.2.6.4 Competitor Benchmarking
6.2.7 Supply Chain Analytics
6.2.7.1 Distribution and Logistics Optimization
6.2.7.2 Inventory Management
6.2.7.3 Manufacturing Analysis
6.2.7.4 Others
6.2.8 Network Analytics
6.2.8.1 Intelligent Network Optimization
6.2.8.2 Traffic Management
6.2.8.3 Others
6.2.9 Others
6.3 Services
6.3.1 Managed Services
6.3.2 Professional Services
6.3.2.1 Support and Maintenance
6.3.2.2 Consulting

7 Predictive Analytics Market Analysis, By Organization Size (Page No. – 71)
7.1 Introduction
7.2 Small and Medium-Sized Enterprises
7.3 Large Enterprises

8 Predictive Analytics Market Analysis, By Deployment Model (Page No. – 75)
8.1 Introduction
8.2 On-Premises
8.3 Cloud

9 Predictive Analytics Market Analysis, By Industry Vertical (Page No. – 79)
9.1 Introduction
9.2 Banking, Financial Services, and Insurance
9.3 Telecommunications and It
9.4 Retail and Ecommerce
9.5 Healthcare and Life Sciences
9.6 Manufacturing
9.7 Government and Defense
9.8 Energy and Utilities
9.9 Transportation and Logistics
9.10 Others

10 Geographic Analysis (Page No. – 90)
10.1 Introduction
10.2 North America
10.2.1 By Type
10.2.2 By Solution
10.2.3 By Service
10.2.4 By Professional Service
10.2.5 By Deployment Model
10.2.6 By Organization Size
10.2.7 By Industry Vertical
10.2.8 By Country
10.2.8.1 United States
10.2.8.2 Canada
10.3 Europe
10.3.1 By Type
10.3.2 By Solution
10.3.3 By Service
10.3.4 By Professional Service
10.3.5 By Deployment Model
10.3.6 By Organization Size
10.3.7 By Industry Vertical
10.3.8 By Country
10.3.8.1 Germany
10.3.8.2 United Kingdom
10.3.8.3 France
10.3.8.4 Rest of Europe
10.4 Asia Pacific
10.4.1 By Type
10.4.2 By Solution
10.4.3 By Service
10.4.4 By Professional Service
10.4.5 By Deployment Model
10.4.6 By Organization Size
10.4.7 By Industry Vertical
10.4.8 By Country
10.4.8.1 Japan
10.4.8.2 India
10.4.8.3 Singapore
10.4.8.4 Australia
10.5 Middle East and Africa
10.5.1 By Type
10.5.2 By Solution
10.5.3 By Service
10.5.4 By Professional Service
10.5.5 By Deployment Model
10.5.6 By Organization Size
10.5.7 By Industry Vertical
10.6 Latin America
10.6.1 By Type
10.6.2 By Solution
10.6.3 By Service
10.6.4 By Professional Service
10.6.5 By Deployment Model
10.6.6 By Organization Size
10.6.7 By Industry Vertical
10.6.8 By Country
10.6.8.1 Brazil
10.6.8.2 Mexico

11 Competitive Landscape (Page No. – 117)
11.1 Microquadrant Overview
11.1.1 Visionary Leaders
11.1.2 Innovators
11.1.3 Dynamic Differentiators
11.1.4 Emerging Companies
11.1.5 Predictive Analytics Market (Global) Competitive Leadership Mapping, 2017
11.2 Competitive Benchmarking
11.2.1 Strength of Product Portfolio Adopted in the Market
11.2.2 Business Strategy Excellence Adopted in the Market

12 Company Profiles (Page No. – 121)
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
12.1 International Business Machines (IBM) Corporation
12.2 Oracle Corporation
12.3 SAP SE
12.4 Microsoft Corporation
12.5 SAS Institute, Inc.
12.6 Fair Isaac Corporation (FICO)
12.7 NTT Data Corporation
12.8 Tableau Software, Inc.
12.9 Tibco Software, Inc.
12.10 Rapidminer, Inc.
12.11 Angoss Software Corporation

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. – 156)
13.1 Key Insights From Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details

・イントロダクション
・エグゼクティブサマリー
・予測分析の世界市場：市場インサイト
・予測分析の世界市場：市場概観/市場動向
・予測分析の世界市場：産業動向
・予測分析の世界市場：種類別分析/市場規模
・予測分析の世界市場：導入形態別分析/市場規模
・予測分析の世界市場：産業別分析/市場規模
・予測分析の世界市場：地域別分析/市場規模
・予測分析のアジア市場規模予測
・予測分析のヨーロッパ市場規模予測
・予測分析のアメリカ市場規模予測
・予測分析の世界市場動向
・予測分析の世界市場：競争状況
・予測分析の世界市場：関連企業分析
…

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