by The global prescriptive analytics market size was estimated to be around US$ 6.21 billion in 2022. It is projected to reach US$ 54.24 billion by 2032, indicating a 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 market research report on the Prescriptive analytics market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Prescriptive analytics products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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Prescriptive Analytics Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 7.71 Billion |
| Market Size by 2032 | USD 54.24 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 24.2% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Component, By Deployment, By Data Type, By Business Function, By Application, and By Industry |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Read More: Fiber Cement Market Size to Garner USD 28.97 Billion by 2032
The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Prescriptive analytics market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Prescriptive analytics market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Prescriptive analytics products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Prescriptive analytics market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Prescriptive analytics market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Prescriptive analytics market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- Microsoft
- Salesforce
- SAP
- IBM
- Talend
- Rapid Miner
- River Logic
- FICO
- Ayata
- Sisense
- Frontline Systems
- Mitek Analytics
- Happiest Minds
- Netformx
- Zebra
Prescriptive Analytics Market Segmentations
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
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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