Machine Learning Market Size, Share, and Trends 2025 to 2034

The global machine learning market size accounted for USD 93.95 billion in 2025 and is projected to surpass around USD 1407.65 billion by 2034, representing a healthy CAGR of 35.09% between 2025 and 2034. The North America machine learning market size is calculated at USD 21.56 billion in 2024 and is expected to grow at a fastest CAGR of 35.30% during the forecast year. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : May 2025
  • Report Code : 3156
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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 Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Machine Learning Market 

5.1. COVID-19 Landscape: Machine Learning 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

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 Machine Learning Market, By Type

8.1. Machine Learning Market, by Type

8.1.1 Large Enterprises

8.1.1.1. Market Revenue and Forecast

8.1.2. Small and Medium Enterprise

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Machine Learning Market, By Deployment

9.1. Machine Learning Market, by Deployment

9.1.1. Cloud

9.1.1.1. Market Revenue and Forecast 

9.1.2. On-Premises

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global Machine Learning Market, By End-user 

10.1. Machine Learning Market, by End-user

10.1.1. Healthcare

10.1.1.1. Market Revenue and Forecast 

10.1.2. Retail

10.1.2.1. Market Revenue and Forecast 

10.1.3. BFSI

10.1.3.1. Market Revenue and Forecast 

10.1.4. Manufacturing

10.1.4.1. Market Revenue and Forecast

10.1.5. IT & Telecom

10.1.5.1. Market Revenue and Forecast 

10.1.6. Energy & Utilities

10.1.6.1. Market Revenue and Forecast

10.1.7. Agriculture

10.1.7.1. Market Revenue and Forecast

10.1.8. Automotive

10.1.8.1. Market Revenue and Forecast 

10.1.9. Marketing & Advertising

10.1.9.1. Market Revenue and Forecast 

Chapter 11. Global Machine Learning Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Type 

11.1.2. Market Revenue and Forecast, by Deployment

11.1.3. Market Revenue and Forecast, by End-user

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Type 

11.1.4.2. Market Revenue and Forecast, by Deployment 

11.1.4.3. Market Revenue and Forecast, by End-user

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Type 

11.1.5.2. Market Revenue and Forecast, by Deployment

11.1.5.3. Market Revenue and Forecast, by End-user

11.2. Europe

11.2.1. Market Revenue and Forecast, by Type 

11.2.2. Market Revenue and Forecast, by Deployment

11.2.3. Market Revenue and Forecast, by End-user 

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Type

11.2.4.2. Market Revenue and Forecast, by Deployment 

11.2.4.3. Market Revenue and Forecast, by End-user 

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Type 

11.2.5.2. Market Revenue and Forecast, by Deployment 

11.2.5.3. Market Revenue and Forecast, by End-user 

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Type 

11.2.6.2. Market Revenue and Forecast, by Deployment 

11.2.6.3. Market Revenue and Forecast, by End-user

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Type

11.2.7.2. Market Revenue and Forecast, by Deployment

11.2.7.3. Market Revenue and Forecast, by End-user 

11.3. APAC

11.3.1. Market Revenue and Forecast, by Type 

11.3.2. Market Revenue and Forecast, by Deployment 

11.3.3. Market Revenue and Forecast, by End-user

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Type

11.3.4.2. Market Revenue and Forecast, by Deployment

11.3.4.3. Market Revenue and Forecast, by End-user 

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Type 

11.3.5.2. Market Revenue and Forecast, by Deployment

11.3.5.3. Market Revenue and Forecast, by End-user 

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Type

11.3.6.2. Market Revenue and Forecast, by Deployment

11.3.6.3. Market Revenue and Forecast, by End-user

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Type 

11.3.7.2. Market Revenue and Forecast, by Deployment 

11.3.7.3. Market Revenue and Forecast, by End-user 

11.4. MEA

11.4.1. Market Revenue and Forecast, by Type 

11.4.2. Market Revenue and Forecast, by Deployment 

11.4.3. Market Revenue and Forecast, by End-user 

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Type

11.4.4.2. Market Revenue and Forecast, by Deployment

11.4.4.3. Market Revenue and Forecast, by End-user 

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Type

11.4.5.2. Market Revenue and Forecast, by Deployment

11.4.5.3. Market Revenue and Forecast, by End-user

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Type

11.4.6.2. Market Revenue and Forecast, by Deployment 

11.4.6.3. Market Revenue and Forecast, by End-user 

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Type 

11.4.7.2. Market Revenue and Forecast, by Deployment 

11.4.7.3. Market Revenue and Forecast, by End-user

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Type 

11.5.2. Market Revenue and Forecast, by Deployment 

11.5.3. Market Revenue and Forecast, by End-user

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Type 

11.5.4.2. Market Revenue and Forecast, by Deployment

11.5.4.3. Market Revenue and Forecast, by End-user 

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Type

11.5.5.2. Market Revenue and Forecast, by Deployment

11.5.5.3. Market Revenue and Forecast, by End-user 

Chapter 12. Company Profiles

12.1. Google

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Fair Isaac

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Baidu

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Hewlett Packard Enterprise Development

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Intel

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. International Business Machines

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Microsoft

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Sap

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Sas Institute

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Amazon Web Services

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

The global machine learning market size is expected to increase USD 1,407.65 billion by 2034 from USD 69.54 billion in 2024.

The global machine learning market will register growth rate of 35.09% between 2024 and 2034.

The major players operating in the machine learning market are Google, Fair Isaac, Baidu, Hewlett Packard Enterprise Development, Intel, International Business Machines, Microsoft, Sap, Sas Institute, Amazon Web Services, Bigml, and Others.

The driving factors of the machine learning market are the easy and efficient automation in business process and increases the profitability of the organizations.

North America region will lead the global machine learning market during the forecast period 2024 to 2034.

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