세계의 인공 신경망(ANN) 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2025-2033년)

Global Artificial Neural Network Market size is anticipated to grow from USD 0.46 Billion in 2024 to USD 2.39 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 20.02% during the forecast period of 2026 to 2033.

The Artificial Neural Network (ANN) market is poised for significant expansion as industries increasingly leverage machine learning and deep learning technologies. With advancements in computational power and the proliferation of big data, ANNs are becoming integral to various applications, including image recognition, natural language processing, and predictive analytics. The growing demand for automation and intelligent systems across sectors such as healthcare, finance, and automotive is driving innovation, leading to the development of more sophisticated neural architectures that enhance performance and efficiency.

As organizations seek to harness the potential of artificial intelligence, the integration of ANNs into existing systems is becoming a strategic priority. This trend is further fueled by the rise of edge computing, which allows for real-time data processing and decision-making at the source. Consequently, businesses are investing in research and development to create tailored solutions that address specific industry challenges, thereby fostering a competitive landscape that encourages collaboration between technology providers and end-users. The emphasis on explainability and transparency in AI models is also shaping the future of ANNs, as stakeholders demand greater accountability in automated decision-making processes.

Looking ahead, the ANN market is expected to witness a surge in applications across emerging fields such as autonomous systems and smart cities. The convergence of ANNs with other technologies, such as the Internet of Things (IoT) and blockchain, will unlock new opportunities for innovation and efficiency. As organizations continue to prioritize digital transformation, the ability to leverage ANNs for enhanced insights and operational agility will be a key differentiator in the marketplace, positioning the ANN sector for sustained growth and relevance in the coming years.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Component

• Solution
• Services

By Deployment Mode

• Cloud
• On-premise

By Enterprise Size

• Large Enterprises
• SMEs

By Industry

• Healthcare
• BFSI
• Retail and E-Commerce
• Manufacturing
• Automotive
• Others
• COMPANIES PROFILED
• Hewlett Packard Enterprise Development LP
• Salesforce Inc.
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Amazon Web Services Inc.
• NVIDIA Corporation
• Google Inc.
• Qualcomm Technologies Inc.
• Oracle Corporation
• The above list can be customized.

TABLE OF CONTENTS

1. PREFACE

• 1.1. Report Description
  • 1.1.1 Objective
  • 1.1.2 Target Audience
  • 1.1.3 Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1 Market Research Process
  • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3. ARTIFICIAL NEURAL NETWORK INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Poerter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Component
  • 3.7.2 Market Attractiveness Analysis By Deployment Mode
  • 3.7.3 Market Attractiveness Analysis By Enterprise Size
  • 3.7.4 Market Attractiveness Analysis By Industry
  • 3.7.5 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1 List of Raw Materials
  • 4.2.2 Raw Material Manufactures List
  • 4.2.3 Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1 Direct Marketing
  • 4.4.2 Indirect Marketing
  • 4.4.3 Marketing Channel Development Trend

5. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY COMPONENT

• 5.1. Overview By Component
• 5.2. Historical and Forecast Data Analysis By Component
• 5.3. Solution Historic and Forecast Sales By Regions
• 5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY DEPLOYMENT MODE

• 6.1. Overview By Deployment Mode
• 6.2. Historical and Forecast Data Analysis By Deployment Mode
• 6.3. Cloud Historic and Forecast Sales By Regions
• 6.4. On-premise Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY ENTERPRISE SIZE

• 7.1. Overview By Enterprise Size
• 7.2. Historical and Forecast Data Analysis By Enterprise Size
• 7.3. Large Enterprises Historic and Forecast Sales By Regions
• 7.4. SMEs Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY INDUSTRY

• 8.1. Overview By Industry
• 8.2. Historical and Forecast Data Analysis By Industry
• 8.3. Healthcare Historic and Forecast Sales By Regions
• 8.4. BFSI Historic and Forecast Sales By Regions
• 8.5. Retail and E-Commerce Historic and Forecast Sales By Regions
• 8.6. Manufacturing Historic and Forecast Sales By Regions
• 8.7. Automotive Historic and Forecast Sales By Regions
• 8.8. Others Historic and Forecast Sales By Regions

9. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY GEOGRAPHY

• 9.1. Regional Outlook
• 9.2. Introduction
• 9.3. North America Sales Analysis
  • 9.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.3.2 North America By Segment Sales Analysis
  • 9.3.3 North America By Country Sales Analysis
  • 9.3.4 United States Sales Analysis
  • 9.3.5 Canada Sales Analysis
  • 9.3.6 Mexico Sales Analysis
• 9.4. Europe Sales Analysis
  • 9.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.4.2 Europe By Segment Sales Analysis
  • 9.4.3 Europe By Country Sales Analysis
  • 9.4.4 United Kingdom Sales Analysis
  • 9.4.5 France Sales Analysis
  • 9.4.6 Germany Sales Analysis
  • 9.4.7 Italy Sales Analysis
  • 9.4.8 Russia Sales Analysis
  • 9.4.9 Rest Of Europe Sales Analysis
• 9.5. Asia Pacific Sales Analysis
  • 9.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.5.2 Asia Pacific By Segment Sales Analysis
  • 9.5.3 Asia Pacific By Country Sales Analysis
  • 9.5.4 China Sales Analysis
  • 9.5.5 India Sales Analysis
  • 9.5.6 Japan Sales Analysis
  • 9.5.7 South Korea Sales Analysis
  • 9.5.8 Australia Sales Analysis
  • 9.5.9 South East Asia Sales Analysis
  • 9.5.10 Rest Of Asia Pacific Sales Analysis
• 9.6. Latin America Sales Analysis
  • 9.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.6.2 Latin America By Segment Sales Analysis
  • 9.6.3 Latin America By Country Sales Analysis
  • 9.6.4 Brazil Sales Analysis
  • 9.6.5 Argentina Sales Analysis
  • 9.6.6 Peru Sales Analysis
  • 9.6.7 Chile Sales Analysis
  • 9.6.8 Rest of Latin America Sales Analysis
• 9.7. Middle East & Africa Sales Analysis
  • 9.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 9.7.2 Middle East & Africa By Segment Sales Analysis
  • 9.7.3 Middle East & Africa By Country Sales Analysis
  • 9.7.4 Saudi Arabia Sales Analysis
  • 9.7.5 UAE Sales Analysis
  • 9.7.6 Israel Sales Analysis
  • 9.7.7 South Africa Sales Analysis
  • 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL NEURAL NETWORK COMPANIES

• 10.1. Artificial Neural Network Market Competition
• 10.2. Partnership/Collaboration/Agreement
• 10.3. Merger And Acquisitions
• 10.4. New Product Launch
• 10.5. Other Developments

11. COMPANY PROFILES OF ARTIFICIAL NEURAL NETWORK INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Market Concentration Rate
• 11.3. Hewlett Packard Enterprise Development LP
  • 11.3.1 Company Overview
  • 11.3.2 Company Revenue
  • 11.3.3 Products
  • 11.3.4 Recent Developments
• 11.4. Salesforce Inc.
  • 11.4.1 Company Overview
  • 11.4.2 Company Revenue
  • 11.4.3 Products
  • 11.4.4 Recent Developments
• 11.5. IBM Corporation
  • 11.5.1 Company Overview
  • 11.5.2 Company Revenue
  • 11.5.3 Products
  • 11.5.4 Recent Developments
• 11.6. Intel Corporation
  • 11.6.1 Company Overview
  • 11.6.2 Company Revenue
  • 11.6.3 Products
  • 11.6.4 Recent Developments
• 11.7. Microsoft Corporation
  • 11.7.1 Company Overview
  • 11.7.2 Company Revenue
  • 11.7.3 Products
  • 11.7.4 Recent Developments
• 11.8. Amazon Web Services Inc.
  • 11.8.1 Company Overview
  • 11.8.2 Company Revenue
  • 11.8.3 Products
  • 11.8.4 Recent Developments
• 11.9. NVIDIA Corporation
  • 11.9.1 Company Overview
  • 11.9.2 Company Revenue
  • 11.9.3 Products
  • 11.9.4 Recent Developments
• 11.10. Google Inc.
  • 11.10.1 Company Overview
  • 11.10.2 Company Revenue
  • 11.10.3 Products
  • 11.10.4 Recent Developments
• 11.11. Qualcomm Technologies Inc.
  • 11.11.1 Company Overview
  • 11.11.2 Company Revenue
  • 11.11.3 Products
  • 11.11.4 Recent Developments
• 11.12. Oracle Corporation
  • 11.12.1 Company Overview
  • 11.12.2 Company Revenue
  • 11.12.3 Products
  • 11.12.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies