세계의 인공 신경망 시장 : 부문별 예측(2025-2030년)

The Artificial Neural Network Market was valued at USD 187.11 million in 2023, expected to reach USD 203.13 million in 2024, and is projected to grow at a CAGR of 8.65%, to USD 334.62 million by 2030.

Artificial Neural Networks (ANNs) are computational models inspired by the human brain's neural structure, designed to recognize patterns and make decisions based on data inputs. The scope of ANNs extends across multiple sectors, encompassing finance, healthcare, manufacturing, and more, as they facilitate predictive analytics, complex decision-making, and automation. The necessity of ANNs lies in their unparalleled capability to process and analyze large datasets, thus driving efficiency and innovation in various applications, such as detecting financial fraud, diagnosing medical conditions, optimizing supply chain logistics, and enhancing personalized marketing strategies. ANNs are increasingly implemented in end-use areas such as autonomous vehicles, voice-activated assistance, and beyond, reflecting their transformative impact across industries. Market insights reveal that the growth is influenced primarily by the proliferation of big data, increasing AI adoption, and enhanced computational power. Key opportunities arise from the rapid advancements in deep learning algorithms, integrating AI with IoT, and the surge in AI-powered edge computing applications. To capitalize on these, businesses should invest in developing specialized and adaptable neural network models tailored to specific industry needs. However, challenges persist, such as the high initial costs, the complexity of integrating ANNs with existing systems, and concerns over data privacy and bias in AI decision-making processes. Continuous research in improving ANN efficiency and reducing training times is crucial. Areas meriting further innovation include the development of more explainable AI models to address transparency issues and enhanced algorithms to improve robustness against atypical data inputs. As the AI landscape continues to evolve, the market for ANNs is characterized by dynamic growth potential, necessitating proactive adaptation and investment strategies to harness its full capabilities effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Neural Network Market

The Artificial Neural Network Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increased demand due to enhanced processing power, learning ability, and speed of neural networks
  • Demand for analyzing large volumes of data sets with low supervision
  • Rising demand for prediction solutions including predicting consumer behavior and sales forecasting
• Market Restraints
  • Difficulty in tracking the results of in-process stages
• Market Opportunities
  • Increased use of ANN in IoT
  • High potential in advanced driver assistance technology in vehicles and other self-driving vehicles
• Market Challenges
  • Reduced trust due to unexplained behavior of the network

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Neural Network Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Neural Network Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Neural Network Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Neural Network Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Neural Network Market

A detailed market share analysis in the Artificial Neural Network Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Neural Network Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Neural Network Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Neural Network Market

A strategic analysis of the Artificial Neural Network Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Neural Network Market, highlighting leading vendors and their innovative profiles. These include Alyuda Research, LLC, Atomwise, Inc., Clarifai, Inc., Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Neurala, Inc., Neuralware, Oracle Corporation, Qualcomm Incorporated, Rossum Ltd., Speechmatics, Starmind, and Ward Systems Group, Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Neural Network Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Platform/API, Services, and Solution.
• Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises.
• Based on Deployment Mode, market is studied across On-Cloud and On-Premises.
• Based on Application, market is studied across Data Mining, Image Recognition, and Signal Recognition.
• Based on Industry Vertical, market is studied across Banking, Financial Services & Insurance, Government & Defense, Healthcare & Life Sciences, Manufacturing, Retail & e-Commerce, Telecommunications & IT, and Transportation & Logistics.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increased demand due to enhanced processing power, learning ability, and speed of neural networks
    • 5.1.1.2. Demand for analyzing large volumes of data sets with low supervision
    • 5.1.1.3. Rising demand for prediction solutions including predicting consumer behavior and sales forecasting
  • 5.1.2. Restraints
    • 5.1.2.1. Difficulty in tracking the results of in-process stages
  • 5.1.3. Opportunities
    • 5.1.3.1. Increased use of ANN in IoT
    • 5.1.3.2. High potential in advanced driver assistance technology in vehicles and other self-driving vehicles
  • 5.1.4. Challenges
    • 5.1.4.1. Reduced trust due to unexplained behavior of the network
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Neural Network Market, by Component

• 6.1. Introduction
• 6.2. Platform/API
• 6.3. Services
• 6.4. Solution

7. Artificial Neural Network Market, by Organization Size

• 7.1. Introduction
• 7.2. Large Enterprises
• 7.3. Small & Medium-Sized Enterprises

8. Artificial Neural Network Market, by Deployment Mode

• 8.1. Introduction
• 8.2. On-Cloud
• 8.3. On-Premises

9. Artificial Neural Network Market, by Application

• 9.1. Introduction
• 9.2. Data Mining
• 9.3. Image Recognition
• 9.4. Signal Recognition

10. Artificial Neural Network Market, by Industry Vertical

• 10.1. Introduction
• 10.2. Banking, Financial Services & Insurance
• 10.3. Government & Defense
• 10.4. Healthcare & Life Sciences
• 10.5. Manufacturing
• 10.6. Retail & e-Commerce
• 10.7. Telecommunications & IT
• 10.8. Transportation & Logistics

11. Americas Artificial Neural Network Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Artificial Neural Network Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Neural Network Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Alyuda Research, LLC
• 2. Atomwise, Inc.
• 3. Clarifai, Inc.
• 4. Google LLC by Alphabet Inc.
• 5. Intel Corporation
• 6. International Business Machines Corporation
• 7. Microsoft Corporation
• 8. Neurala, Inc.
• 9. Neuralware
• 10. Oracle Corporation
• 11. Qualcomm Incorporated
• 12. Rossum Ltd.
• 13. Speechmatics
• 14. Starmind
• 15. Ward Systems Group, Inc.