Neural Network Market Size, Share, and Trends 2025 to 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 Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Neural Network Market 

5.1. COVID-19 Landscape: 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 Neural Network Market, By Component

8.1. Neural Network Market, by Component

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast  

8.1.2. Software

8.1.2.1. Market Revenue and Forecast  

8.1.3. Services

8.1.3.1. Market Revenue and Forecast  

Chapter 9. Global Neural Network Market, By Type of Neural Network

9.1. Neural Network Market, by Type of Neural Network

9.1.1. Feedforward Neural Networks (FNN)

9.1.1.1. Market Revenue and Forecast  

9.1.2. Convolutional Neural Networks (CNN)

9.1.2.1. Market Revenue and Forecast  

9.1.3. Recurrent Neural Networks (RNN)

9.1.3.1. Market Revenue and Forecast  

9.1.4. Long Short-Term Memory Networks (LSTM)

9.1.4.1. Market Revenue and Forecast  

9.1.5. Generative Adversarial Networks (GANs)

9.1.5.1. Market Revenue and Forecast  

9.1.6. Modular Neural Networks

9.1.6.1. Market Revenue and Forecast  

9.1.7. Others

9.1.7.1. Market Revenue and Forecast  

Chapter 10. Global Neural Network Market, By Learning Type

10.1. Neural Network Market, by Learning Type

10.1.1. Supervised Learning

10.1.1.1. Market Revenue and Forecast  

10.1.2. Unsupervised Learning

10.1.2.1. Market Revenue and Forecast  

10.1.3. Reinforcement Learning

10.1.3.1. Market Revenue and Forecast  

10.1.4. Semi-Supervised Learning

10.1.4.1. Market Revenue and Forecast  

10.1.5. Deep Reinforcement Learning

10.1.5.1. Market Revenue and Forecast  

Chapter 11. Global Neural Network Market, By Deployment Mode

11.1. Neural Network Market, by Deployment Mode

11.1.1. On-Premises

11.1.1.1. Market Revenue and Forecast  

11.1.2. Cloud-Based

11.1.2.1. Market Revenue and Forecast  

Chapter 12. Global Neural Network Market, By Application

12.1. Neural Network Market, by Application

12.1.1. Image Recognition & Computer Vision

12.1.1.1. Market Revenue and Forecast  

12.1.2. Natural Language Processing (NLP)

12.1.2.1. Market Revenue and Forecast  

12.1.3. Speech Recognition & Voice Interfaces

12.1.3.1. Market Revenue and Forecast  

12.1.4. Predictive Analytics & Forecasting

12.1.4.1. Market Revenue and Forecast  

12.1.5. Robotics & Autonomous Systems

12.1.5.1. Market Revenue and Forecast  

12.1.6. Healthcare Diagnostics & Genomics

12.1.6.1. Market Revenue and Forecast  

12.1.7. Financial Risk Analysis & Fraud Detection

12.1.7.1. Market Revenue and Forecast  

12.1.8. Industrial Process Automation

12.1.8.1. Market Revenue and Forecast  

12.1.9. Others

12.1.9.1. Market Revenue and Forecast  

Chapter 13. Global Neural Network Market, By End User / Industry Vertical

13.1. Neural Network Market, by End User / Industry Vertical

13.1.1. IT & Telecommunications

13.1.1.1. Market Revenue and Forecast  

13.1.2. BFSI (Banking, Financial Services, and Insurance)

13.1.2.1. Market Revenue and Forecast  

13.1.3. Healthcare & Life Sciences

13.1.3.1. Market Revenue and Forecast  

13.1.4. Automotive & Transportation

13.1.4.1. Market Revenue and Forecast  

13.1.5. Manufacturing & Industrial

13.1.5.1. Market Revenue and Forecast  

13.1.6. Retail & E-commerce

13.1.6.1. Market Revenue and Forecast  

13.1.7. Government & Defense

13.1.7.1. Market Revenue and Forecast  

13.1.8. Energy & Utilities

13.1.8.1. Market Revenue and Forecast  

13.1.9. Others

13.1.9.1. Market Revenue and Forecast  

Chapter 14. Global Neural Network Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Component  

14.1.2. Market Revenue and Forecast, by Type of Neural Network  

14.1.3. Market Revenue and Forecast, by Learning Type  

14.1.4. Market Revenue and Forecast, by Deployment Mode  

14.1.5. Market Revenue and Forecast, by Application  

14.1.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.1.7. U.S.

14.1.7.1. Market Revenue and Forecast, by Component  

14.1.7.2. Market Revenue and Forecast, by Type of Neural Network  

14.1.7.3. Market Revenue and Forecast, by Learning Type  

14.1.7.4. Market Revenue and Forecast, by Deployment Mode  

14.1.8. Market Revenue and Forecast, by Application  

14.1.8.1. Market Revenue and Forecast, by End User / Industry Vertical   

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Component  

14.1.9.2. Market Revenue and Forecast, by Type of Neural Network  

14.1.9.3. Market Revenue and Forecast, by Learning Type  

14.1.9.4. Market Revenue and Forecast, by Deployment Mode  

14.1.10. Market Revenue and Forecast, by Application  

14.1.11. Market Revenue and Forecast, by End User / Industry Vertical  

14.2. Europe

14.2.1. Market Revenue and Forecast, by Component  

14.2.2. Market Revenue and Forecast, by Type of Neural Network  

14.2.3. Market Revenue and Forecast, by Learning Type  

14.2.4. Market Revenue and Forecast, by Deployment Mode   

14.2.5. Market Revenue and Forecast, by Application  

14.2.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Component  

14.2.8.2. Market Revenue and Forecast, by Type of Neural Network  

14.2.8.3. Market Revenue and Forecast, by Learning Type  

14.2.9. Market Revenue and Forecast, by Deployment Mode   

14.2.10. Market Revenue and Forecast, by Application  

14.2.10.1. Market Revenue and Forecast, by End User / Industry Vertical   

14.2.11. Germany

14.2.11.1. Market Revenue and Forecast, by Component  

14.2.11.2. Market Revenue and Forecast, by Type of Neural Network  

14.2.11.3. Market Revenue and Forecast, by Learning Type  

14.2.12. Market Revenue and Forecast, by Deployment Mode  

14.2.13. Market Revenue and Forecast, by Application  

14.2.14. Market Revenue and Forecast, by End User / Industry Vertical  

14.2.15. France

14.2.15.1. Market Revenue and Forecast, by Component  

14.2.15.2. Market Revenue and Forecast, by Type of Neural Network  

14.2.15.3. Market Revenue and Forecast, by Learning Type  

14.2.15.4. Market Revenue and Forecast, by Deployment Mode  

14.2.16. Market Revenue and Forecast, by Application  

14.2.16.1. Market Revenue and Forecast, by End User / Industry Vertical  

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Forecast, by Component  

14.2.17.2. Market Revenue and Forecast, by Type of Neural Network  

14.2.17.3. Market Revenue and Forecast, by Learning Type  

14.2.17.4. Market Revenue and Forecast, by Deployment Mode  

14.2.18. Market Revenue and Forecast, by Application  

14.2.18.1. Market Revenue and Forecast, by End User / Industry Vertical  

14.3. APAC

14.3.1. Market Revenue and Forecast, by Component  

14.3.2. Market Revenue and Forecast, by Type of Neural Network  

14.3.3. Market Revenue and Forecast, by Learning Type  

14.3.4. Market Revenue and Forecast, by Deployment Mode  

14.3.5. Market Revenue and Forecast, by Application  

14.3.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.3.7. India

14.3.7.1. Market Revenue and Forecast, by Component  

14.3.7.2. Market Revenue and Forecast, by Type of Neural Network  

14.3.7.3. Market Revenue and Forecast, by Learning Type  

14.3.7.4. Market Revenue and Forecast, by Deployment Mode  

14.3.8. Market Revenue and Forecast, by Application  

14.3.9. Market Revenue and Forecast, by End User / Industry Vertical  

14.3.10. China

14.3.10.1. Market Revenue and Forecast, by Component  

14.3.10.2. Market Revenue and Forecast, by Type of Neural Network  

14.3.10.3. Market Revenue and Forecast, by Learning Type  

14.3.10.4. Market Revenue and Forecast, by Deployment Mode  

14.3.11. Market Revenue and Forecast, by Application  

14.3.11.1. Market Revenue and Forecast, by End User / Industry Vertical  

14.3.12. Japan

14.3.12.1. Market Revenue and Forecast, by Component  

14.3.12.2. Market Revenue and Forecast, by Type of Neural Network  

14.3.12.3. Market Revenue and Forecast, by Learning Type  

14.3.12.4. Market Revenue and Forecast, by Deployment Mode  

14.3.12.5. Market Revenue and Forecast, by Application  

14.3.12.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Forecast, by Component  

14.3.13.2. Market Revenue and Forecast, by Type of Neural Network  

14.3.13.3. Market Revenue and Forecast, by Learning Type  

14.3.13.4. Market Revenue and Forecast, by Deployment Mode  

14.3.13.5. Market Revenue and Forecast, by Application  

14.3.13.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.4. MEA

14.4.1. Market Revenue and Forecast, by Component  

14.4.2. Market Revenue and Forecast, by Type of Neural Network  

14.4.3. Market Revenue and Forecast, by Learning Type  

14.4.4. Market Revenue and Forecast, by Deployment Mode  

14.4.5. Market Revenue and Forecast, by Application  

14.4.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.4.7. GCC

14.4.7.1. Market Revenue and Forecast, by Component  

14.4.7.2. Market Revenue and Forecast, by Type of Neural Network  

14.4.7.3. Market Revenue and Forecast, by Learning Type  

14.4.7.4. Market Revenue and Forecast, by Deployment Mode  

14.4.8. Market Revenue and Forecast, by Application  

14.4.9. Market Revenue and Forecast, by End User / Industry Vertical  

14.4.10. North Africa

14.4.10.1. Market Revenue and Forecast, by Component  

14.4.10.2. Market Revenue and Forecast, by Type of Neural Network  

14.4.10.3. Market Revenue and Forecast, by Learning Type  

14.4.10.4. Market Revenue and Forecast, by Deployment Mode  

14.4.11. Market Revenue and Forecast, by Application  

14.4.12. Market Revenue and Forecast, by End User / Industry Vertical  

14.4.13. South Africa

14.4.13.1. Market Revenue and Forecast, by Component  

14.4.13.2. Market Revenue and Forecast, by Type of Neural Network  

14.4.13.3. Market Revenue and Forecast, by Learning Type  

14.4.13.4. Market Revenue and Forecast, by Deployment Mode  

14.4.13.5. Market Revenue and Forecast, by Application  

14.4.13.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Forecast, by Component  

14.4.14.2. Market Revenue and Forecast, by Type of Neural Network  

14.4.14.3. Market Revenue and Forecast, by Learning Type  

14.4.14.4. Market Revenue and Forecast, by Deployment Mode  

14.4.14.5. Market Revenue and Forecast, by Application  

14.4.14.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Component  

14.5.2. Market Revenue and Forecast, by Type of Neural Network  

14.5.3. Market Revenue and Forecast, by Learning Type  

14.5.4. Market Revenue and Forecast, by Deployment Mode  

14.5.5. Market Revenue and Forecast, by Application  

14.5.6. Market Revenue and Forecast, by End User / Industry Vertical  

14.5.7. Brazil

14.5.7.1. Market Revenue and Forecast, by Component  

14.5.7.2. Market Revenue and Forecast, by Type of Neural Network  

14.5.7.3. Market Revenue and Forecast, by Learning Type  

14.5.7.4. Market Revenue and Forecast, by Deployment Mode  

14.5.8. Market Revenue and Forecast, by Application  

14.5.8.1. Market Revenue and Forecast, by End User / Industry Vertical  

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Component  

14.5.9.2. Market Revenue and Forecast, by Type of Neural Network  

14.5.9.3. Market Revenue and Forecast, by Learning Type  

14.5.9.4. Market Revenue and Forecast, by Deployment Mode  

14.5.9.5. Market Revenue and Forecast, by Application  

14.5.9.6. Market Revenue and Forecast, by End User / Industry Vertical  

Chapter 15. Company Profiles

15.1. Google (Alphabet Inc.)

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Microsoft Corporation

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. IBM Corporation

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Amazon Web Services (AWS)

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. Intel Corporation

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. NVIDIA Corporation

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. Oracle Corporation

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. Qualcomm Technologies

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Baidu, Inc.

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. Tencent AI Lab

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