세계의 범용 인공지능 시장 : 제공 제품, 기술, 전개 모드, 분야별 예측(2025-2030년)

The Artificial General Intelligence Market was valued at USD 3.44 billion in 2023, expected to reach USD 4.54 billion in 2024, and is projected to grow at a CAGR of 33.92%, to USD 26.65 billion by 2030.

Artificial General Intelligence (AGI) represents a significant leap in AI technology, aiming to create systems with the cognitive abilities of a human being. The necessity for AGI arises from its potential to revolutionize industries by improving decision-making, automating complex tasks, and fostering innovation. AGI's application scope spans various sectors, including healthcare, finance, manufacturing, and education, where it can enhance efficiency, generate insights, and automate processes. The end-use scope revolves around sectors looking to achieve transformative advancements in problem-solving and operational capabilities.

Market insights reveal key growth factors like technological advancements in machine learning algorithms, increased investment in AI research and development, and an expanding dataset to train AGIs effectively. Recent opportunities lie in sectors investing in digital transformation and those adopting AI to augment human workforces, particularly in precision medicine, autonomous vehicles, and smart manufacturing. To capitalize on these opportunities, businesses should focus on strategic partnerships with AI technology providers and invest in talent development to enhance their AI capabilities.

However, the AGI market faces limitations, including ethical concerns, high research and development costs, and the immense computational power requirement for simulating human-like understanding. Challenges also arise from regulatory scrutiny and the need for robust cybersecurity measures to safeguard against misuse. Innovation areas likely to drive business growth include developing interpretable AI models, addressing ethical AI deployment, and integrating AI with emerging technologies like IoT and blockchain for enhanced data management and security.

The nature of the AGI market is fast-paced and highly competitive, necessitating continuous innovation and adaptation. Businesses should maintain a robust R&D focus and collaborate with cross-industry stakeholders to ensure they remain at the forefront of AGI developments. Emphasizing transparency, ethical considerations, and public trust will be key in navigating and leading the future of the AGI market.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial General Intelligence Market

The Artificial General Intelligence 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
  • Growing demand for AI applications in healthcare, finance, and automotive industries
  • Government initiatives promoting AI designing, development, and deployment
• Market Restraints
  • Complexity associated with managing and optimizing artificial general intelligence
• Market Opportunities
  • Technological advancements to improve algorithms, computational power, and data analytics
  • Increasing adoption of cloud computing among small & medium enterprises
• Market Challenges
  • Concerns of cybersecurity threats and vulnerabilities in artificial general intelligence

Porter's Five Forces: A Strategic Tool for Navigating the Artificial General Intelligence Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial General Intelligence 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 General Intelligence Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial General Intelligence 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 General Intelligence Market

A detailed market share analysis in the Artificial General Intelligence 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 General Intelligence Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial General Intelligence 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 General Intelligence Market

A strategic analysis of the Artificial General Intelligence 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 General Intelligence Market, highlighting leading vendors and their innovative profiles. These include Adept AI Labs Inc., Amazon Web Services, Inc., Anthropic, PBC, Apple Inc., Baidu, Inc., C3.ai, Inc., Darktrace PLC, Google LLC by Alphabet Inc., Hanson Robotics Limited, Hyperscience, Intel Corporation, International Business Machines Corporation, Meta Platforms, Inc., Microsoft Corporation, MindBridge Analytics Inc., Mindtrace Ltd., Mistral AI, Neuralink Corp., Numenta, Inc., Nvidia Corporation, OpenAI OpCo, LLC, Oracle Corporation, Salesforce, Inc., SAP SE, ServiceNow, Inc., and Tencent Holdings Ltd..

Market Segmentation & Coverage

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

• Based on Offering, market is studied across Hardware, Services, and Software.
• Based on Technology, market is studied across Machine Learning & Deep Learning, Natural Language Processing, and Robotics.
• Based on Deployment Mode, market is studied across Cloud and On-premises.
• Based on Vertical, market is studied across Agriculture, Automotive, Transportation & Logistics, BFSI, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT & Telecom, Manufacturing, Media & Entertainment, and Retail & eCommerce.
• 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. Growing demand for AI applications in healthcare, finance, and automotive industries
    • 5.1.1.2. Government initiatives promoting AI designing, development, and deployment
  • 5.1.2. Restraints
    • 5.1.2.1. Complexity associated with managing and optimizing artificial general intelligence
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements to improve algorithms, computational power, and data analytics
    • 5.1.3.2. Increasing adoption of cloud computing among small & medium enterprises
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns of cybersecurity threats and vulnerabilities in artificial general intelligence
• 5.2. Market Segmentation Analysis
  • 5.2.1. Offering: Ongoing advancements in hardware to enhance the performance of AGI applications
  • 5.2.2. Deployment Mode: Growing adoption of on-premises deployment as it offers data control and security
• 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 General Intelligence Market, by Offering

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Artificial General Intelligence Market, by Technology

• 7.1. Introduction
• 7.2. Machine Learning & Deep Learning
• 7.3. Natural Language Processing
• 7.4. Robotics

8. Artificial General Intelligence Market, by Deployment Mode

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

9. Artificial General Intelligence Market, by Vertical

• 9.1. Introduction
• 9.2. Agriculture
• 9.3. Automotive, Transportation & Logistics
• 9.4. BFSI
• 9.5. Energy & Utilities
• 9.6. Government & Defense
• 9.7. Healthcare & Life Sciences
• 9.8. IT & Telecom
• 9.9. Manufacturing
• 9.10. Media & Entertainment
• 9.11. Retail & eCommerce

10. Americas Artificial General Intelligence Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial General Intelligence Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial General Intelligence Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. Strategic Collaboration between Accenture and Oracle to Empower Finance Teams with Generative AI
  • 13.3.2. Ankura Partners with OpenAI to Launch Cutting-Edge Virtual General Intelligence System
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Adept AI Labs Inc.
• 2. Amazon Web Services, Inc.
• 3. Anthropic, PBC
• 4. Apple Inc.
• 5. Baidu, Inc.
• 6. C3.ai, Inc.
• 7. Darktrace PLC
• 8. Google LLC by Alphabet Inc.
• 9. Hanson Robotics Limited
• 10. Hyperscience
• 11. Intel Corporation
• 12. International Business Machines Corporation
• 13. Meta Platforms, Inc.
• 14. Microsoft Corporation
• 15. MindBridge Analytics Inc.
• 16. Mindtrace Ltd.
• 17. Mistral AI
• 18. Neuralink Corp.
• 19. Numenta, Inc.
• 20. Nvidia Corporation
• 21. OpenAI OpCo, LLC
• 22. Oracle Corporation
• 23. Salesforce, Inc.
• 24. SAP SE
• 25. ServiceNow, Inc.
• 26. Tencent Holdings Ltd.