처방 분석 시장 보고서 : 컴포넌트별, 전개 형태별, 업무 기능별, 조직 규모별, 업종별, 지역별(2025-2033년)

The global prescriptive analytics market size reached USD 6.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 32.4 Billion by 2033, exhibiting a growth rate (CAGR) of 17.77% during 2025-2033. Expanding proliferation of data, the rising number of cybercrimes, and the increasing demand from healthcare and BFSI sectors represent some of the key factors driving the market. At present, North America holds the largest prescriptive analytics market share, driven by strong focus on data-driven decision-making and presence of major technology companies.

Prescriptive analytics employs machine learning (ML), artificial intelligence (AI), and statistical algorithms to analyze massive amounts of data and provide recommended courses of action. It uses historical and real-time data and considers different variables, constraints, and objectives to simulate various scenarios and determine the best course of action. It is considered a valuable tool in businesses to optimize operations, make data-driven strategic decisions, and cause better outcomes. As a result, it finds a wide range of applications across numerous industries, such as healthcare, finance, supply chain management, and marketing.

Prescriptive Analytics Market Trends:

With the exponentially growing amount of data available, businesses across the globe are looking for solutions, such as prescriptive analytics, that can leverage collected information to drive real business value. Besides this, prescriptive analytics provides businesses with comprehensive data analysis to identify data-driven strategic decisions, which, in turn, is positively impacting the market growth. Moreover, rising incidences of cyber crimes, coupled with the growing need to preclude fraudulent activities, are presenting remunerative growth opportunities for the market. In line with this, the largescale product utilization in the banking, financial services, and insurance (BFSI) sector to detect and flag frauds, alert the bank, and provide recommended courses of action, is acting as another significant growth-inducing factor. In addition to this, the widespread product adoption across the healthcare industry to assess pre-existing patient conditions, determine their risk for developing future conditions, and implement specific preventative treatment plans is contributing to the market growth. Concurrent with this, prescriptive analytics is used to develop personalized treatment plans for patients and provide improved and quality patient care, which is aiding in market expansion. Furthermore, the shifting preference for cloud platforms, expanding development of cloud data warehouses, and significant technological advancements in terms of user-friendliness, accuracy, and security are creating a favorable outlook for the market.

Key Market Segmentation:

Component Insights:

• Software
• Services

Deployment Mode Insights:

• On-premises
• Cloud-based

Business Function Insights:

• Operations
• Sales
• Marketing
• Finance
• Human Resources

Organization Size Insights:

• Small and Medium-sized Enterprises
• Large Enterprises

Industry Vertical Insights:

• BFSI
• Healthcare
• IT and Telecommunications
• Retail
• Media and Entertainment
• Manufacturing
• Energy and Utilities
• Transportation and Logistics
• Government
• Others

Regional Insights:

• North America
• United States
• Canada
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Others
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Others
• Latin America
• Brazil
• Mexico
• Others
• Middle East and Africa
• The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for prescriptive analytics. Some of the factors driving the North America prescriptive analytics market included the massive generation of data, escalating concerns regarding cyber security, and widespread product adoption across numerous industries.

Competitive Landscape:

• The report has also provided a comprehensive analysis of the competitive landscape in the global prescriptive analytics market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Altair Engineering Inc., Alteryx Inc., Fair Isaac Corporation, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, River Logic Inc., Salesforce Inc., SAP SE, SAS Institute Inc., Teradata Corporation, TIBCO Software Inc. and Zebra Technologies Corporation. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.

Key Questions Answered in This Report

• 1.What was the size of the global prescriptive analytics market in 2024?
• 2.What is the expected growth rate of the global prescriptive analytics market during 2025-2033?
• 3.What has been the impact of COVID-19 on the global prescriptive analytics market?
• 4.What are the key factors driving the global prescriptive analytics market?
• 5.What is the breakup of the global prescriptive analytics market based on the component?
• 6.What is the breakup of the global prescriptive analytics market based on the deployment mode?
• 7.What is the breakup of the global prescriptive analytics market based on the industry vertical?
• 8.What are the key regions in the global prescriptive analytics market?
• 9.Who are the key players/companies in the global prescriptive analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Prescriptive Analytics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Software
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

• 7.1 On-premises
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Cloud-based
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Business Function

• 8.1 Operations
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Sales
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Marketing
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Finance
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast
• 8.5 Human Resources
  • 8.5.1 Market Trends
  • 8.5.2 Market Forecast

9 Market Breakup by Organization Size

• 9.1 Small and Medium-sized Enterprises
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Large Enterprises
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Industry Vertical

• 10.1 BFSI
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Healthcare
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 IT and Telecommunications
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 Retail
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Media and Entertainment
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast
• 10.6 Manufacturing
  • 10.6.1 Market Trends
  • 10.6.2 Market Forecast
• 10.7 Energy and Utilities
  • 10.7.1 Market Trends
  • 10.7.2 Market Forecast
• 10.8 Transportation and Logistics
  • 10.8.1 Market Trends
  • 10.8.2 Market Forecast
• 10.9 Government
  • 10.9.1 Market Trends
  • 10.9.2 Market Forecast
• 10.10 Others
  • 10.10.1 Market Trends
  • 10.10.2 Market Forecast

11 Market Breakup by Region

• 11.1 North America
  • 11.1.1 United States
    • 11.1.1.1 Market Trends
    • 11.1.1.2 Market Forecast
  • 11.1.2 Canada
    • 11.1.2.1 Market Trends
    • 11.1.2.2 Market Forecast
• 11.2 Asia-Pacific
  • 11.2.1 China
    • 11.2.1.1 Market Trends
    • 11.2.1.2 Market Forecast
  • 11.2.2 Japan
    • 11.2.2.1 Market Trends
    • 11.2.2.2 Market Forecast
  • 11.2.3 India
    • 11.2.3.1 Market Trends
    • 11.2.3.2 Market Forecast
  • 11.2.4 South Korea
    • 11.2.4.1 Market Trends
    • 11.2.4.2 Market Forecast
  • 11.2.5 Australia
    • 11.2.5.1 Market Trends
    • 11.2.5.2 Market Forecast
  • 11.2.6 Indonesia
    • 11.2.6.1 Market Trends
    • 11.2.6.2 Market Forecast
  • 11.2.7 Others
    • 11.2.7.1 Market Trends
    • 11.2.7.2 Market Forecast
• 11.3 Europe
  • 11.3.1 Germany
    • 11.3.1.1 Market Trends
    • 11.3.1.2 Market Forecast
  • 11.3.2 France
    • 11.3.2.1 Market Trends
    • 11.3.2.2 Market Forecast
  • 11.3.3 United Kingdom
    • 11.3.3.1 Market Trends
    • 11.3.3.2 Market Forecast
  • 11.3.4 Italy
    • 11.3.4.1 Market Trends
    • 11.3.4.2 Market Forecast
  • 11.3.5 Spain
    • 11.3.5.1 Market Trends
    • 11.3.5.2 Market Forecast
  • 11.3.6 Russia
    • 11.3.6.1 Market Trends
    • 11.3.6.2 Market Forecast
  • 11.3.7 Others
    • 11.3.7.1 Market Trends
    • 11.3.7.2 Market Forecast
• 11.4 Latin America
  • 11.4.1 Brazil
    • 11.4.1.1 Market Trends
    • 11.4.1.2 Market Forecast
  • 11.4.2 Mexico
    • 11.4.2.1 Market Trends
    • 11.4.2.2 Market Forecast
  • 11.4.3 Others
    • 11.4.3.1 Market Trends
    • 11.4.3.2 Market Forecast
• 11.5 Middle East and Africa
  • 11.5.1 Market Trends
  • 11.5.2 Market Breakup by Country
  • 11.5.3 Market Forecast

12 SWOT Analysis

• 12.1 Overview
• 12.2 Strengths
• 12.3 Weaknesses
• 12.4 Opportunities
• 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

• 14.1 Overview
• 14.2 Bargaining Power of Buyers
• 14.3 Bargaining Power of Suppliers
• 14.4 Degree of Competition
• 14.5 Threat of New Entrants
• 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

• 16.1 Market Structure
• 16.2 Key Players
• 16.3 Profiles of Key Players
  • 16.3.1 Altair Engineering Inc.
    • 16.3.1.1 Company Overview
    • 16.3.1.2 Product Portfolio
    • 16.3.1.3 Financials
  • 16.3.2 Alteryx Inc.
    • 16.3.2.1 Company Overview
    • 16.3.2.2 Product Portfolio
    • 16.3.2.3 Financials
  • 16.3.3 Fair Isaac Corporation
    • 16.3.3.1 Company Overview
    • 16.3.3.2 Product Portfolio
    • 16.3.3.3 Financials
    • 16.3.3.4 SWOT Analysis
  • 16.3.4 International Business Machines Corporation
    • 16.3.4.1 Company Overview
    • 16.3.4.2 Product Portfolio
    • 16.3.4.3 Financials
    • 16.3.4.4 SWOT Analysis
  • 16.3.5 Microsoft Corporation
    • 16.3.5.1 Company Overview
    • 16.3.5.2 Product Portfolio
    • 16.3.5.3 Financials
    • 16.3.5.4 SWOT Analysis
  • 16.3.6 Oracle Corporation
    • 16.3.6.1 Company Overview
    • 16.3.6.2 Product Portfolio
    • 16.3.6.3 Financials
    • 16.3.6.4 SWOT Analysis
  • 16.3.7 River Logic Inc.
    • 16.3.7.1 Company Overview
    • 16.3.7.2 Product Portfolio
  • 16.3.8 Salesforce Inc.
    • 16.3.8.1 Company Overview
    • 16.3.8.2 Product Portfolio
    • 16.3.8.3 Financials
    • 16.3.8.4 SWOT Analysis
  • 16.3.9 SAP SE
    • 16.3.9.1 Company Overview
    • 16.3.9.2 Product Portfolio
    • 16.3.9.3 Financials
    • 16.3.9.4 SWOT Analysis
  • 16.3.10 SAS Institute Inc.
    • 16.3.10.1 Company Overview
    • 16.3.10.2 Product Portfolio
    • 16.3.10.3 SWOT Analysis
  • 16.3.11 Teradata Corporation
    • 16.3.11.1 Company Overview
    • 16.3.11.2 Product Portfolio
    • 16.3.11.3 Financials
    • 16.3.11.4 SWOT Analysis
  • 16.3.12 TIBCO Software Inc.
    • 16.3.12.1 Company Overview
    • 16.3.12.2 Product Portfolio
    • 16.3.12.3 SWOT Analysis
  • 16.3.13 Zebra Technologies Corporation
    • 16.3.13.1 Company Overview
    • 16.3.13.2 Product Portfolio
    • 16.3.13.3 Financials
    • 16.3.13.4 SWOT Analysis