October 8, 2024

Prescriptive Analytics Market Size To Cross USD 54.24 Bn By 2032

The global prescriptive analytics market size accounted for US$ 6.21 Bn in 2022 and is projected to reach around USD 54.24 Bn by 2032, growing at a CAGR of 24.2% from 2023 to 2032.

Prescriptive Analytics Market Size 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.

Report Summary

The global prescriptive analytics market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the prescriptive analytics market across the globe.

A comprehensive estimate on the prescriptive analytics market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of prescriptive analytics during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Prescriptive Analytics Market  Report Scope

Report CoverageDetails
Market Size in 2023USD 7.71 Billion
Market Size by 2032USD 54.24 Billion
Growth Rate from 2023 to 2032CAGR of 24.2%
Largest MarketNorth America
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Component, By Deployment, By Data Type, By Business Function, By Application, and By Industry
Regions CoveredNorth America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized prescriptive analytics market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read: Fiber Cement Market Size To Cross USD 28.97 Bn By 2032

Prescriptive Analytics Market Players

The report includes the profiles of key prescriptive analytics market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

  • 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

Regional Segmentation

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
  • Latin America (Brazil and Rest of Latin America)
  • Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

  • Governmental bodies, and organizations creating economic policies
  • National and international social welfare institutions
  • Company websites, financial reports and SEC filings, broker and investor reports
  • Related patent and regulatory databases
  • Statistical databases and market reports
  • Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

  • Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
  • In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

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

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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