According to the new research report published by Precedence Research, titled “Predictive Analytics Market (By Solution: Customer Analytics, Financial Analytics, Marketing & Sales Analytics, Network Analytics, Risk 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; By Application) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global predictive analytics market size is expected to be worth around US$ 56.11 billion by 2030 and is poised to record a yearly growth rate of 19.27% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on predictive analytics market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall predictive analytics market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide predictive analytics market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of predictive analytics market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
Predictive Analytics Market Scope
| Report Coverage | Details |
| Market Size in 2022 | USD 13.7 Billion |
| Market Size by 2030 | USD 56.11 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 19.27% |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
Also read: Personalized Packaging Market Size to Worth US$ 51.74 Billion by 2030
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the predictive analytics market.
Some of the prominent players in the predictive analytics market include are
- 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
Predictive Analytics Market Segmentations
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, segment, and project the global market size for predictive analytics market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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
Why should you invest in this report?
If you are aiming to enter the global predictive analytics market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for predictive analytics are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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