The predictive analytics market would grow at a CAGR of 19.27% over the predicted time frame. The market is expected to increase in value from US$ 13.7 Bn in 2022 to US$ 56.11 Bn in 2030.
Key Takeaways:
- North America has registered for 46% of the total revenue share in 2021.
- Asia Pacific is projected to reach at a CAGR of 23.4% from 2022 to 2030.
- The large enterprise size segment has captured 59% revenue share in 2021.
- By component, the solution segment has accounted 63% revenue share in 2021.
- The BFSI segment is expected to reach at a CAGR of 15.9% from 2022 to 2030.
The on predictive analytics Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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A recent report provides crucial insights along with application based and forecast information in the Global Predictive analytics Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Predictive analytics market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Predictive analytics market are included as given below:
Predictive analytics Market Key Players
- BM Corporationn
- SAP ERP
- Microsoft Corporation
- Siemens AG
- General Electric Company
- Schneider Electric SE
- NTT Data Corporation
- Oracle Corporation
- SAS Institute, Inc
- Tableau Software, Inc
Market Segments
By Solution
- Customer Analytics
- Financial Analytics
- Marketing & Sales Analytics
- Network Analytics
- Risk Analytics
- Supply Chain Analytics
- Web & Social Media Analytics
- Others
By Service
- Deployment/ Installation
- Support & Maintenance
- Training & Consulting
By Enterprise Size
- Small & Medium Enterprises
- Large Enterprises
By Component
- Solution
- Services
By Deployment Type
- On-Premise
- Cloud
By End-Use
- Aerospace & Defense
- Automotive & Transportation
- BFSI
- Healthcare
- IT & Telecommunication
- Media & Entertainment
- Retail & Ecommerce
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global predictive analytics market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the predictive analytics market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Predictive Analytics Market
5.1. COVID-19 Landscape: Predictive Analytics Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Predictive Analytics Market, By Solution
8.1. Predictive Analytics Market, by Solution, 2022-2030
8.1.1. Customer Analytics
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Financial Analytics
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Marketing & Sales Analytics
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Network Analytics
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Risk Analytics
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Supply Chain Analytics
8.1.6.1. Market Revenue and Forecast (2017-2030)
8.1.7. Web & Social Media Analytics
8.1.7.1. Market Revenue and Forecast (2017-2030)
8.1.8. Others
8.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Predictive Analytics Market, By Service
9.1. Predictive Analytics Market, by Service, 2022-2030
9.1.1. Deployment/ Installation
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Support & Maintenance
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Training & Consulting
9.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Predictive Analytics Market, By Enterprise Size
10.1. Predictive Analytics Market, by Enterprise Size, 2022-2030
10.1.1. Small & Medium Enterprises
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Large Enterprises
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Predictive Analytics Market, By Component
11.1. Predictive Analytics Market, by Component, 2022-2030
11.1.1. Solution
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Services
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Predictive Analytics Market, By Deployment Type
12.1. Predictive Analytics Market, by Deployment Type, 2022-2030
12.1.1. On-Premise
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Cloud
12.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Predictive Analytics Market, By End-Use
13.1. Predictive Analytics Market, by End-Use, 2022-2030
13.1.1. Aerospace & Defense
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Automotive & Transportation
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. BFSI
13.1.3.1. Market Revenue and Forecast (2017-2030)
13.1.4. Healthcare
13.1.4.1. Market Revenue and Forecast (2017-2030)
13.1.5. IT & Telecommunication
13.1.5.1. Market Revenue and Forecast (2017-2030)
13.1.6. Media & Entertainment
13.1.6.1. Market Revenue and Forecast (2017-2030)
13.1.7. Retail & Ecommerce
13.1.7.1. Market Revenue and Forecast (2017-2030)
13.1.8. Others
13.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Predictive Analytics Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Solution (2017-2030)
14.1.2. Market Revenue and Forecast, by Service (2017-2030)
14.1.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.1.4. Market Revenue and Forecast, by Component (2017-2030)
14.1.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Solution (2017-2030)
14.1.7.2. Market Revenue and Forecast, by Service (2017-2030)
14.1.7.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.1.7.4. Market Revenue and Forecast, by Component (2017-2030)
14.1.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.8.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Solution (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Service (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Component (2017-2030)
14.1.10. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.11. Market Revenue and Forecast, by End-Use (2017-2030)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Solution (2017-2030)
14.2.2. Market Revenue and Forecast, by Service (2017-2030)
14.2.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.2.4. Market Revenue and Forecast, by Component (2017-2030)
14.2.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Solution (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Service (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.2.9. Market Revenue and Forecast, by Component (2017-2030)
14.2.10. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.10.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Solution (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Service (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.2.12. Market Revenue and Forecast, by Component (2017-2030)
14.2.13. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.14. Market Revenue and Forecast, by End-Use (2017-2030)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Solution (2017-2030)
14.2.15.2. Market Revenue and Forecast, by Service (2017-2030)
14.2.15.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.2.15.4. Market Revenue and Forecast, by Component (2017-2030)
14.2.16. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.16.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Solution (2017-2030)
14.2.17.2. Market Revenue and Forecast, by Service (2017-2030)
14.2.17.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.2.17.4. Market Revenue and Forecast, by Component (2017-2030)
14.2.18. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.18.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Solution (2017-2030)
14.3.2. Market Revenue and Forecast, by Service (2017-2030)
14.3.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.3.4. Market Revenue and Forecast, by Component (2017-2030)
14.3.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Solution (2017-2030)
14.3.7.2. Market Revenue and Forecast, by Service (2017-2030)
14.3.7.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.3.7.4. Market Revenue and Forecast, by Component (2017-2030)
14.3.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.9. Market Revenue and Forecast, by End-Use (2017-2030)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Solution (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Service (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Component (2017-2030)
14.3.11. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.11.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Solution (2017-2030)
14.3.12.2. Market Revenue and Forecast, by Service (2017-2030)
14.3.12.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.3.12.4. Market Revenue and Forecast, by Component (2017-2030)
14.3.12.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.12.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Solution (2017-2030)
14.3.13.2. Market Revenue and Forecast, by Service (2017-2030)
14.3.13.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.3.13.4. Market Revenue and Forecast, by Component (2017-2030)
14.3.13.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.13.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Solution (2017-2030)
14.4.2. Market Revenue and Forecast, by Service (2017-2030)
14.4.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.4.4. Market Revenue and Forecast, by Component (2017-2030)
14.4.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Solution (2017-2030)
14.4.7.2. Market Revenue and Forecast, by Service (2017-2030)
14.4.7.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.4.7.4. Market Revenue and Forecast, by Component (2017-2030)
14.4.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.9. Market Revenue and Forecast, by End-Use (2017-2030)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Solution (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Service (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Component (2017-2030)
14.4.11. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.12. Market Revenue and Forecast, by End-Use (2017-2030)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Solution (2017-2030)
14.4.13.2. Market Revenue and Forecast, by Service (2017-2030)
14.4.13.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.4.13.4. Market Revenue and Forecast, by Component (2017-2030)
14.4.13.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.13.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Solution (2017-2030)
14.4.14.2. Market Revenue and Forecast, by Service (2017-2030)
14.4.14.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.4.14.4. Market Revenue and Forecast, by Component (2017-2030)
14.4.14.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.14.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Solution (2017-2030)
14.5.2. Market Revenue and Forecast, by Service (2017-2030)
14.5.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.5.4. Market Revenue and Forecast, by Component (2017-2030)
14.5.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.6. Market Revenue and Forecast, by End-Use (2017-2030)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Solution (2017-2030)
14.5.7.2. Market Revenue and Forecast, by Service (2017-2030)
14.5.7.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.5.7.4. Market Revenue and Forecast, by Component (2017-2030)
14.5.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.8.1. Market Revenue and Forecast, by End-Use (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Solution (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Service (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Enterprise Size (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Component (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.9.6. Market Revenue and Forecast, by End-Use (2017-2030)
Chapter 15. Company Profiles
15.1. BM Corporationn
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. SAP ERP
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Microsoft Corporation
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Siemens AG
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. General Electric Company
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Schneider Electric SE
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. NTT Data Corporation
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Oracle Corporation
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. SAS Institute, Inc
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Tableau Software, Inc
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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