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[ 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


Product Code : MNMICT00108624
Survey : MarketsandMarkets
Publish On : July, 2021
Category : ICT and Telecom
Study Area : Global
Report format : PDF
Sales price option (consumption tax not included)
Single User USD7150 / Question Form
5 User USD8500 / Question Form
Enterprise User USD11000 / Question Form

[Report Description]

The changing business need to forecast future outcomes to make better strategic decisions is expected to propel the growth of the predictive analytics market
The global predictive analytics market size is expected to grow from USD 4.56 billion in 2017 to USD 12.41 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 22.1%. The compelling business necessity to preserve the competitive edge is one of the key factors that is fueling the growth of this market. Emergence of machine learning and artificial intelligence is expected to evolve the predictive analytics market, thus creating opportunities for the growth of the market. However, the changing regulation that leads to restructuring of predictive models, which consumes a lot of time, is the biggest restraint for the predictive analytics market.
Risk analytics solution is expected to hold the largest market size during the forecast period
Considering the significant need to manage the risks associated with an organization, predictive analytics is expected to play a major role in risk analytics. Organizations are developing predictive diagnostic models by integrating equipment fitted with sensors, to detect the problems and take proactive actions. Moreover, the predictive approach helps in delivering organizations with insights for making better decisions and mitigating the risks.
APAC is projected to grow at the highest CAGR during the forecast period
The predictive analytics market growth in the Asia Pacific (APAC) region has started to gain momentum and is expected to witness the highest growth rate in the coming years. Rising awareness of predictive analytics can be attributed to the continuous increase in focus of companies on improving their customer services to drive the competitive differentiation and revenue growth. Further, to enhance the business productivity, through predictive analytics solutions and services, organizations in the APAC region are inclining toward adoption of predictive analytics; hence, it is expected to become a highly potential market. In addition, rapid developing economies in APAC, such as China, India, Singapore, Malaysia, and Australia, are migrating toward cloud adoption.
In the process of determining and verifying the market size for several segments and subsegments, gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of the profiles of the primary participants is given below:
• By Company: Tier 1: 22%, Tier 2: 30%, and Tier 3: 48%
• By Designation: C-level: 30%, Director level: 45%, and Others: 25%
• By Region: North America: 48%, Europe: 30%, and APAC: 22%
The key vendors profiled in the report are as follows:
1. Alteryx, Inc. (US)
2. AgilOne (US)
3. Angoss Software Corporation (Canada)
4. Domino Data Lab (US)
5. Dataiku (US)
6. Exago, Inc. (US)
7. Fair Isaac Corporation (FICO) (US)
8. GoodData Corporation (US)
9. International Business Machines Corporation (US)
10. Information Builders (US)
11. Kognitio Ltd. (UK)
12. KNIME.com AG (Switzerland)
13. MicroStrategy, Inc. (US)
14. Microsoft Corporation (US)
15. NTT DATA Corporation (Japan)
16. Oracle Corporation (US)
17. Predixion Software (US)
18. RapidMiner (US)
19. QlikTech International (US)
20. Sisense, Inc. (US)
21. SAP SE (Germany)
22. SAS Institute, Inc. (US)
23. Tableau Software, Inc. (US)
24. TIBCO Software, Inc. (US)
25. Teradata Corporation (US)

Research Coverage
The report segments the predictive analytics market based on services, which are further segmented into managed services and professional services. Under professional services, the report is further segmented into support and maintenance, and consulting services. Based on deployment models, the market is segmented into on-premises and cloud. Under organization size, it is segmented into Small and Medium-Sized Enterprises (SMEs) and large enterprises, whereas under types, the market is segmented into financial analytics, risk analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, network analytics, and others (HR analytics and legal analytics). Further, under industry verticals, the market includes retail and eCommerce; manufacturing; government and defense; healthcare and life sciences; energy and utilities; telecommunications and IT; transportation and logistics; and Banking, Financial Services, and Insurance (BFSI); and others (media and entertainment, travel and hospitality, and education). The regions are segmented into North America, Europe, APAC, Middle East and Africa (MEA), and Latin America.
Reasons to buy the report
The report will help the market leaders/new entrants in this market in the following ways:
1. This report segments the predictive analytics market comprehensively and provides the closest approximations of the revenue numbers for the overall market and subsegments across different industry verticals and regions.
2. The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions.

TABLE OF CONTENTS

1 INTRODUCTION 16
1.1 OBJECTIVES OF THE STUDY 16
1.2 MARKET DEFINITION 16
1.3 MARKET SCOPE 16
1.4 YEARS CONSIDERED FOR THE STUDY 17
1.5 CURRENCY 18
1.6 STAKEHOLDERS 18
2 RESEARCH METHODOLOGY 19
2.1 RESEARCH DATA 19
2.1.1 SECONDARY DATA 20
2.1.2 PRIMARY DATA 20
2.1.2.1 Breakdown of primaries 21
2.1.2.1.1 Key industry insights 22
2.2 MARKET SIZE ESTIMATION 23
2.3 MICROQUADRANT METHODOLOGY 25
2.3.1 VENDOR INCLUSION CRITERIA 25
2.4 RESEARCH ASSUMPTIONS 26
2.5 LIMITATIONS 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 32
4.1 ATTRACTIVE OPPORTUNITIES IN THE PREDICTIVE ANALYTICS MARKET 32
4.2 PREDICTIVE ANALYTICS MARKET, BY REGION 33
4.3 PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL AND REGION 34
4.4 LIFE CYCLE ANALYSIS, BY REGION, 2017 34
5 MARKET OVERVIEW AND INDUSTRY TRENDS 36
5.1 MARKET OVERVIEW 36
5.1.1 INTRODUCTION 36
5.1.2 MARKET DYNAMICS 36
5.1.2.1 Drivers 37
5.1.2.1.1 Increasing adoption of predictive analytics for forecasting future market trends 37
5.1.2.1.2 Enterprises’ need for ensuring market competitiveness 38
5.1.2.1.3 Growing adoption of big data and other related technologies 38

5.1.2.2 Restraints 39
5.1.2.2.1 Changing regional data regulations leading to the time-consuming restructuring of predictive models 39
5.1.2.3 Opportunities 39
5.1.2.3.1 Increasing awareness accelerating the development of better analytics tools 39
5.1.2.3.2 Advent of machine learning and AI 40
5.1.2.4 Challenges 40
5.1.2.4.1 Ownership and privacy of the collected data 40
5.1.2.4.2 Data ecosystems and exchanges 40
5.2 INDUSTRY TRENDS 41
5.2.1 PREDICTIVE ANALYTICS: USE CASES 41
5.2.1.1 USE CASE #1: Deliver personalized interactions 41
5.2.1.2 USE CASE #2: Understand buying patterns 41
5.2.1.3 USE CASE #3: Increase revenue and decrease customers’ business inefficiencies 42
5.2.1.4 USE CASE #4: Market basket analysis 42
5.3 PREDICTIVE ANALYTICS PROCESS 43
5.4 REGULATORY IMPLICATIONS 44
5.4.1 SARBANES-OXLEY ACT OF 2002 44
5.4.2 GENERAL DATA PROTECTION REGULATION 45
5.4.3 BASEL 45
6 PREDICTIVE ANALYTICS MARKET ANALYSIS, BY TYPE 46
6.1 INTRODUCTION 47
6.2 SOLUTIONS 48
6.2.1 FINANCIAL ANALYTICS 50
6.2.1.1 Fraud detection 51
6.2.1.2 Profitability management 51
6.2.1.3 Governance and compliance management 51
6.2.1.4 Others 51
6.2.2 RISK ANALYTICS 51
6.2.2.1 Cyber risk management 53
6.2.2.2 Operational risk management 53
6.2.2.3 Credit and market risk management 53
6.2.2.4 Others 53
6.2.3 MARKETING ANALYTICS 54
6.2.3.1 Predictive modelling 55
6.2.3.2 Yield management 55
6.2.3.3 Product and service development strategies 55
6.2.3.4 Others 55

6.2.4 SALES ANALYTICS 55
6.2.4.1 Sales life cycle management 56
6.2.4.2 Sales rep efficiency management 57
6.2.4.3 Others 57
6.2.5 CUSTOMER ANALYTICS 57
6.2.5.1 Customer segmentation and clustering 58
6.2.5.2 Customer behavior analysis 58
6.2.5.3 Monitoring customer loyalty and satisfaction 58
6.2.5.4 Others 59
6.2.6 WEB AND SOCIAL MEDIA ANALYTICS 59
6.2.6.1 Social media management 60
6.2.6.2 Search engine optimization 60
6.2.6.3 Performance monitoring 60
6.2.6.4 Competitor benchmarking 61
6.2.7 SUPPLY CHAIN ANALYTICS 61
6.2.7.1 Distribution and logistics optimization 62
6.2.7.2 Inventory management 62
6.2.7.3 Manufacturing analysis 62
6.2.7.4 Others 63
6.2.8 NETWORK ANALYTICS 63
6.2.8.1 Intelligent network optimization 64
6.2.8.2 Traffic management 64
6.2.8.3 Others 64
6.2.9 OTHERS 64
6.3 SERVICES 65
6.3.1 MANAGED SERVICES 66
6.3.2 PROFESSIONAL SERVICES 67
6.3.2.1 Support and maintenance 69
6.3.2.2 Consulting 69
7 PREDICTIVE ANALYTICS MARKET ANALYSIS, BY ORGANIZATION SIZE 71
7.1 INTRODUCTION 72
7.2 SMALL AND MEDIUM-SIZED ENTERPRISES 73
7.3 LARGE ENTERPRISES 73
8 PREDICTIVE ANALYTICS MARKET ANALYSIS, BY DEPLOYMENT MODEL 75
8.1 INTRODUCTION 76
8.2 ON-PREMISES 77
8.3 CLOUD 77

9 PREDICTIVE ANALYTICS MARKET ANALYSIS, BY INDUSTRY VERTICAL 79
9.1 INTRODUCTION 80
9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 81
9.3 TELECOMMUNICATIONS AND IT 82
9.4 RETAIL AND ECOMMERCE 83
9.5 HEALTHCARE AND LIFE SCIENCES 83
9.6 MANUFACTURING 84
9.7 GOVERNMENT AND DEFENSE 85
9.8 ENERGY AND UTILITIES 86
9.9 TRANSPORTATION AND LOGISTICS 87
9.10 OTHERS 88
10 GEOGRAPHIC ANALYSIS 90
10.1 INTRODUCTION 91
10.2 NORTH AMERICA 93
10.2.1 BY TYPE 94
10.2.2 BY SOLUTION 95
10.2.3 BY SERVICE 95
10.2.4 BY PROFESSIONAL SERVICE 96
10.2.5 BY DEPLOYMENT MODEL 96
10.2.6 BY ORGANIZATION SIZE 97
10.2.7 BY INDUSTRY VERTICAL 97
10.2.8 BY COUNTRY 98
10.2.8.1 United States 98
10.2.8.2 Canada 98
10.3 EUROPE 98
10.3.1 BY TYPE 99
10.3.2 BY SOLUTION 99
10.3.3 BY SERVICE 100
10.3.4 BY PROFESSIONAL SERVICE 100
10.3.5 BY DEPLOYMENT MODEL 100
10.3.6 BY ORGANIZATION SIZE 101
10.3.7 BY INDUSTRY VERTICAL 101
10.3.8 BY COUNTRY 102
10.3.8.1 Germany 102
10.3.8.2 United Kingdom 102
10.3.8.3 France 102
10.3.8.4 Rest of Europe 102

10.4 ASIA PACIFIC 103
10.4.1 BY TYPE 105
10.4.2 BY SOLUTION 105
10.4.3 BY SERVICE 106
10.4.4 BY PROFESSIONAL SERVICE 106
10.4.5 BY DEPLOYMENT MODEL 106
10.4.6 BY ORGANIZATION SIZE 107
10.4.7 BY INDUSTRY VERTICAL 107
10.4.8 BY COUNTRY 108
10.4.8.1 Japan 108
10.4.8.2 India 108
10.4.8.3 Singapore 108
10.4.8.4 Australia 108
10.5 MIDDLE EAST AND AFRICA 109
10.5.1 BY TYPE 109
10.5.2 BY SOLUTION 110
10.5.3 BY SERVICE 110
10.5.4 BY PROFESSIONAL SERVICE 111
10.5.5 BY DEPLOYMENT MODEL 111
10.5.6 BY ORGANIZATION SIZE 111
10.5.7 BY INDUSTRY VERTICAL 112
10.6 LATIN AMERICA 112
10.6.1 BY TYPE 113
10.6.2 BY SOLUTION 113
10.6.3 BY SERVICE 114
10.6.4 BY PROFESSIONAL SERVICE 114
10.6.5 BY DEPLOYMENT MODEL 114
10.6.6 BY ORGANIZATION SIZE 115
10.6.7 BY INDUSTRY VERTICAL 115
10.6.8 BY COUNTRY 116
10.6.8.1 Brazil 116
10.6.8.2 Mexico 116
11 COMPETITIVE LANDSCAPE 117
11.1 MICROQUADRANT OVERVIEW 117
11.1.1 VISIONARY LEADERS 117
11.1.2 INNOVATORS 117
11.1.3 DYNAMIC DIFFERENTIATORS 117
11.1.4 EMERGING COMPANIES 117
11.1.5 PREDICTIVE ANALYTICS MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2017 118

11.2 COMPETITIVE BENCHMARKING 119
11.2.1 STRENGTH OF PRODUCT PORTFOLIO ADOPTED IN THE PREDICTIVE ANALYTICS MARKET 119
11.2.2 BUSINESS STRATEGY EXCELLENCE ADOPTED IN THE PREDICTIVE ANALYTICS MARKET 120
12 COMPANY PROFILES 121
(Business Overview, Strength of product portfolio, Business strategy excellence, Recent developments)*
12.1 INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION 121
12.2 ORACLE CORPORATION 125
12.3 SAP SE 128
12.4 MICROSOFT CORPORATION 132
12.5 SAS INSTITUTE, INC. 135
12.6 FAIR ISAAC CORPORATION (FICO) 138
12.7 NTT DATA CORPORATION 141
12.8 TABLEAU SOFTWARE, INC. 144
12.9 TIBCO SOFTWARE, INC. 147
12.10 RAPIDMINER, INC. 150
12.11 ANGOSS SOFTWARE CORPORATION 153
*Details on Overview, Strength of product portfolio, Business strategy excellence, Recent developments might not be captured in case of unlisted companies.
13 APPENDIX 156
13.1 KEY INSIGHTS FROM INDUSTRY EXPERTS 156
13.2 DISCUSSION GUIDE 157
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 160
13.4 AVAILABLE CUSTOMIZATIONS 162
13.5 RELATED REPORTS 162
13.6 AUTHOR DETAILS 163

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