Artificial Neural Network Market Size to Hit USD 142.01 Billion by 2034

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 Artificial Neural Network Market

5.1. COVID-19 Landscape: Artificial Neural Network 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 Artificial Neural Network Market, By Type of ANN

8.1. Artificial Neural Network Market, by Type of ANN

8.1.1. Feedforward Neural Networks

8.1.1.1. Market Revenue and Forecast

8.1.2. convolutional Neural networks

8.1.2.1. Market Revenue and Forecast

8.1.3. Recurrent Neural Networks

8.1.3.1. Market Revenue and Forecast

8.1.4. Radial Basis Function Networks

8.1.4.1. Market Revenue and Forecast

8.1.5. Modular Neural Networks

8.1.5.1. Market Revenue and Forecast

8.1.6. Others

8.1.6.1. Market Revenue and Forecast

Chapter 9. Global Artificial Neural Network Market, By Application

9.1. Artificial Neural Network Market, by Application

9.1.1. computer vision & image recognition

9.1.1.1. Market Revenue and Forecast

9.1.2. natural language processing

9.1.2.1. Market Revenue and Forecast

9.1.3. Speech Recognition / Audio Processing

9.1.3.1. Market Revenue and Forecast

9.1.4. Healthcare & Diagnostics

9.1.4.1. Market Revenue and Forecast

9.1.5. Opthalmology

9.1.5.1. Market Revenue and Forecast

9.1.5. Autonomous Vehicles / Robotics

9.1.5.1. Market Revenue and Forecast

9.1.5. Finance & Risk Management

9.1.5.1. Market Revenue and Forecast

9.1.5. Other Applications (Energy, Manufacturing, Cybersecurity)

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global Artificial Neural Network Market, By Deployment mode

10.1. Artificial Neural Network Market, by Deployment mode

10.1.1. on-premises

10.1.1.1. Market Revenue and Forecast

10.1.2. cloud-based

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global Artificial Neural Network Market, By End User / Industry

11.1. Artificial Neural Network Market, by End User / Industry

11.1.1. IT & telecom

11.1.1.1. Market Revenue and Forecast

11.1.2. healthcare & life sciences

11.1.2.1. Market Revenue and Forecast

11.1.3. Automotive & Transportation

11.1.3.1. Market Revenue and Forecast

11.1.4. Finance & Banking

11.1.4.1. Market Revenue and Forecast

11.1.5. Retail & E-commerce

11.1.5.1. Market Revenue and Forecast

11.1.6. Energy & Utilities

11.1.6.1. Market Revenue and Forecast

11.1.7. Retail & E-commerce

11.1.7.1. Market Revenue and Forecast

11.1.8. Others

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global Artificial Neural Network Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Type of ANN

12.1.2. Market Revenue and Forecast, by Application

12.1.3. Market Revenue and Forecast, by Deployment mode

12.1.4. Market Revenue and Forecast, by End User / Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Type of ANN

12.1.5.2. Market Revenue and Forecast, by Application

12.1.5.3. Market Revenue and Forecast, by Deployment mode

12.1.5.4. Market Revenue and Forecast, by End User / Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Type of ANN

12.1.6.2. Market Revenue and Forecast, by Application

12.1.6.3. Market Revenue and Forecast, by Deployment mode

12.1.6.4. Market Revenue and Forecast, by End User / Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Type of ANN

12.2.2. Market Revenue and Forecast, by Application

12.2.3. Market Revenue and Forecast, by Deployment mode

12.2.4. Market Revenue and Forecast, by End User / Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Type of ANN

12.2.5.2. Market Revenue and Forecast, by Application

12.2.5.3. Market Revenue and Forecast, by Deployment mode

12.2.5.4. Market Revenue and Forecast, by End User / Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Type of ANN

12.2.6.2. Market Revenue and Forecast, by Application

12.2.6.3. Market Revenue and Forecast, by Deployment mode

12.2.6.4. Market Revenue and Forecast, by End User / Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Type of ANN

12.2.7.2. Market Revenue and Forecast, by Application

12.2.7.3. Market Revenue and Forecast, by Deployment mode

12.2.7.4. Market Revenue and Forecast, by End User / Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Type of ANN

12.2.8.2. Market Revenue and Forecast, by Application

12.2.8.3. Market Revenue and Forecast, by Deployment mode

12.2.8.4. Market Revenue and Forecast, by End User / Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Type of ANN

12.3.2. Market Revenue and Forecast, by Application

12.3.3. Market Revenue and Forecast, by Deployment mode

12.3.4. Market Revenue and Forecast, by End User / Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Type of ANN

12.3.5.2. Market Revenue and Forecast, by Application

12.3.5.3. Market Revenue and Forecast, by Deployment mode

12.3.5.4. Market Revenue and Forecast, by End User / Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Type of ANN

12.3.6.2. Market Revenue and Forecast, by Application

12.3.6.3. Market Revenue and Forecast, by Deployment mode

12.3.6.4. Market Revenue and Forecast, by End User / Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Type of ANN

12.3.7.2. Market Revenue and Forecast, by Application

12.3.7.3. Market Revenue and Forecast, by Deployment mode

12.3.7.4. Market Revenue and Forecast, by End User / Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Type of ANN

12.3.8.2. Market Revenue and Forecast, by Application

12.3.8.3. Market Revenue and Forecast, by Deployment mode

12.3.8.4. Market Revenue and Forecast, by End User / Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Type of ANN

12.4.2. Market Revenue and Forecast, by Application

12.4.3. Market Revenue and Forecast, by Deployment mode

12.4.4. Market Revenue and Forecast, by End User / Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Type of ANN

12.4.5.2. Market Revenue and Forecast, by Application

12.4.5.3. Market Revenue and Forecast, by Deployment mode

12.4.5.4. Market Revenue and Forecast, by End User / Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Type of ANN

12.4.6.2. Market Revenue and Forecast, by Application

12.4.6.3. Market Revenue and Forecast, by Deployment mode

12.4.6.4. Market Revenue and Forecast, by End User / Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Type of ANN

12.4.7.2. Market Revenue and Forecast, by Application

12.4.7.3. Market Revenue and Forecast, by Deployment mode

12.4.7.4. Market Revenue and Forecast, by End User / Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Type of ANN

12.4.8.2. Market Revenue and Forecast, by Application

12.4.8.3. Market Revenue and Forecast, by Deployment mode

12.4.8.4. Market Revenue and Forecast, by End User / Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Type of ANN

12.5.2. Market Revenue and Forecast, by Application

12.5.3. Market Revenue and Forecast, by Deployment mode

12.5.4. Market Revenue and Forecast, by End User / Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Type of ANN

12.5.5.2. Market Revenue and Forecast, by Application

12.5.5.3. Market Revenue and Forecast, by Deployment mode

12.5.5.4. Market Revenue and Forecast, by End User / Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Type of ANN

12.5.6.2. Market Revenue and Forecast, by Application

12.5.6.3. Market Revenue and Forecast, by Deployment mode

12.5.6.4. Market Revenue and Forecast, by End User / Industry

Chapter 13. Company Profiles

13.1. Google

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Microsoft

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. OpenAI

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. IBM

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Intel

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Apple

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. H2O.ai

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Baidu

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Siemens

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Graphcore

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The artificial neural network market size is expected to increase from USD 25.85 billion in 2025 to USD 142.01 billion by 2034.

The artificial neural network market is expected to grow at a compound annual growth rate (CAGR) of around 20.84% from 2025 to 2034.

The major players in the artificial neural network market include Google, Microsoft, NVIDIA, Amazon Web Services, OpenAI, IBM, Apple, SAP, Siemens, and Graphcore

The driving factors of the artificial neural network market are exponential coupling of abundant, labelled data with dramatically cheaper and more powerful compute, enabling neural networks to learn representations that were previously unattainable.

North America region will lead the global artificial neural network market during the forecast period 2025 to 2034.