According to the research report, the global prescriptive analytics market size is expected to touch USD 54.24 Billion by 2032, from USD 6.21 Billion in 2022, growing with a significant CAGR of 24.2% from 2023 to 2032.
Key Takeaways:
- North America held the maximum revenue share in 2022.
- By Components, the service segment held the largest revenue share in 2022.
- By Deployment, the on-premises segment is expected to expand at the fastest CAGR during the forecast period.
- By Data Type, the unstructured data segment held the highest market share in 2022.
- By Business Function, the operation segment is expected to expand at the fastest CAGR during the forecast period.
- By Application, the supply chain management segment is predicted to grow at the fastest CAGR during the forecast period.
- By Industry, the retail segment is expected to expand at the fastest CAGR during the forecast period.
The prescriptive analytics report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global prescriptive analytics in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global prescriptive analytics market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global prescriptive analytics during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
Sample Link @ https://www.precedenceresearch.com/sample/3195
This study covers a detailed segmentation of the global prescriptive analytics market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global prescriptive analytics market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- Microsoft
- Salesforce
- SAP
- IBM
- Talend
- Rapid Miner
- River Logic
- FICO
- Ayata
- Sisense
- Frontline Systems
- Mitek Analytics
- Happiest Minds
- Netformx
- Zebra
Market Segmentation
By Component
- Software
- Services
By Deployment
- On-premises
- Cloud
By Data Type
- Unstructured Data
- Semi-Structured Data
- Structured Data
By Business Function
- Human Resources
- Marketing
- Finance
- Sales
- Operations
By Application
- Revenue Management
- Network Management
- Workforce Management
- Supply Chain Management
- Others
By Industry
- Banking Financing Services & Insurance (BFSI)
- Retail and e-commerce
- Government and defense
- telecommunications and Information Technology (IT)
- healthcare and life sciences
- travel & hospitality
- media and entertainment
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global prescriptive analytics report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global prescriptive 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 (Premium Insights)
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 Prescriptive Analytics Market
5.1. COVID-19 Landscape: Prescriptive 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 Prescriptive Analytics Market, By Component
8.1. Prescriptive Analytics Market, by Component, 2023-2032
8.1.1. Software
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Services
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Prescriptive Analytics Market, By Deployment
9.1. Prescriptive Analytics Market, by Deployment, 2023-2032
9.1.1. On-premises
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Prescriptive Analytics Market, By Data Type
10.1. Prescriptive Analytics Market, by Data Type, 2023-2032
10.1.1. Unstructured Data
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Semi-Structured Data
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Structured Data
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Prescriptive Analytics Market, By Business Function
11.1. Prescriptive Analytics Market, by Business Function, 2023-2032
11.1.1. Human Resources
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Marketing
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Finance
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Sales
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Operations
11.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Prescriptive Analytics Market, By Application
12.1. Prescriptive Analytics Market, by Application, 2023-2032
12.1.1. Revenue Management
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Network Management
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Workforce Management
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Supply Chain Management
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Others
12.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Prescriptive Analytics Market, By Industry
13.1. Prescriptive Analytics Market, by Industry, 2023-2032
13.1.1. Banking Financing Services & Insurance (BFSI)
13.1.1.1. Market Revenue and Forecast (2020-2032)
13.1.2. Retail and e-commerce
13.1.2.1. Market Revenue and Forecast (2020-2032)
13.1.3. Government and defense
13.1.3.1. Market Revenue and Forecast (2020-2032)
13.1.4. telecommunications and Information Technology (IT)
13.1.4.1. Market Revenue and Forecast (2020-2032)
13.1.5. healthcare and life sciences
13.1.5.1. Market Revenue and Forecast (2020-2032)
13.1.6. travel & hospitality
13.1.6.1. Market Revenue and Forecast (2020-2032)
13.1.7. media and entertainment
13.1.7.1. Market Revenue and Forecast (2020-2032)
13.1.8. Others
13.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 14. Global Prescriptive Analytics Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.1.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.1.5. Market Revenue and Forecast, by Application (2020-2032)
14.1.6. Market Revenue and Forecast, by Industry (2020-2032)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.7.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.1.7.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.1.8. Market Revenue and Forecast, by Application (2020-2032)
14.1.8.1. Market Revenue and Forecast, by Industry (2020-2032)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.9.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.1.9.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.1.10. Market Revenue and Forecast, by Application (2020-2032)
14.1.11. Market Revenue and Forecast, by Industry (2020-2032)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.2.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.2.5. Market Revenue and Forecast, by Application (2020-2032)
14.2.6. Market Revenue and Forecast, by Industry (2020-2032)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.8.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.2.9. Market Revenue and Forecast, by Business Function (2020-2032)
14.2.10. Market Revenue and Forecast, by Application (2020-2032)
14.2.10.1. Market Revenue and Forecast, by Industry (2020-2032)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.11.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.2.12. Market Revenue and Forecast, by Business Function (2020-2032)
14.2.13. Market Revenue and Forecast, by Application (2020-2032)
14.2.14. Market Revenue and Forecast, by Industry (2020-2032)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.15.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.15.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.2.15.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.2.16. Market Revenue and Forecast, by Application (2020-2032)
14.2.16.1. Market Revenue and Forecast, by Industry (2020-2032)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.17.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.17.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.2.17.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.2.18. Market Revenue and Forecast, by Application (2020-2032)
14.2.18.1. Market Revenue and Forecast, by Industry (2020-2032)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.3.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.3.5. Market Revenue and Forecast, by Application (2020-2032)
14.3.6. Market Revenue and Forecast, by Industry (2020-2032)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.7.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.3.7.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.3.8. Market Revenue and Forecast, by Application (2020-2032)
14.3.9. Market Revenue and Forecast, by Industry (2020-2032)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.10.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.3.10.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.3.11. Market Revenue and Forecast, by Application (2020-2032)
14.3.11.1. Market Revenue and Forecast, by Industry (2020-2032)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.12.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.12.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.3.12.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.3.12.5. Market Revenue and Forecast, by Application (2020-2032)
14.3.12.6. Market Revenue and Forecast, by Industry (2020-2032)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.13.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.13.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.3.13.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.3.13.5. Market Revenue and Forecast, by Application (2020-2032)
14.3.13.6. Market Revenue and Forecast, by Industry (2020-2032)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.4.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.4.5. Market Revenue and Forecast, by Application (2020-2032)
14.4.6. Market Revenue and Forecast, by Industry (2020-2032)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.7.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.4.7.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.4.8. Market Revenue and Forecast, by Application (2020-2032)
14.4.9. Market Revenue and Forecast, by Industry (2020-2032)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.10.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.4.10.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.4.11. Market Revenue and Forecast, by Application (2020-2032)
14.4.12. Market Revenue and Forecast, by Industry (2020-2032)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.13.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.13.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.4.13.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.4.13.5. Market Revenue and Forecast, by Application (2020-2032)
14.4.13.6. Market Revenue and Forecast, by Industry (2020-2032)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.14.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.14.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.4.14.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.4.14.5. Market Revenue and Forecast, by Application (2020-2032)
14.4.14.6. Market Revenue and Forecast, by Industry (2020-2032)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.5.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.5.5. Market Revenue and Forecast, by Application (2020-2032)
14.5.6. Market Revenue and Forecast, by Industry (2020-2032)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.7.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.5.7.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.5.8. Market Revenue and Forecast, by Application (2020-2032)
14.5.8.1. Market Revenue and Forecast, by Industry (2020-2032)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.9.3. Market Revenue and Forecast, by Data Type (2020-2032)
14.5.9.4. Market Revenue and Forecast, by Business Function (2020-2032)
14.5.9.5. Market Revenue and Forecast, by Application (2020-2032)
14.5.9.6. Market Revenue and Forecast, by Industry (2020-2032)
Chapter 15. Company Profiles
15.1. Microsoft
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Salesforce
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. SAP
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. IBM
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Talend
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Rapid Miner
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. River Logic
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. FICO
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Ayata
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Sisense
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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