April 21, 2024
ICT

Prescriptive Analytics Market Size to Garner USD 54.24 Billion by 2032

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.

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.

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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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

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