세계의 범용 인공지능(AGI) 시장 : 시장 규모, 점유율, 성장 및 산업 분석 - 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of Artificial General Intelligence (AGI) Market

The global Artificial General Intelligence (AGI) market is entering a high-growth phase as advancements in generative AI, big data, deep learning, and computational power drive the development of systems capable of human-like reasoning and problem-solving. Valued at USD 850.0 million in 2024, the market is projected to reach USD 1,075.9 million in 2025 and expand dramatically to USD 11,037.3 million by 2032, fueled by research breakthroughs and large-scale investment from global technology leaders.

AGI refers to AI systems capable of performing intellectual tasks across domains-mirroring human cognitive abilities such as reasoning, learning, decision-making, and contextual understanding. Major industry participants such as IBM, Alphabet, Microsoft, NVIDIA, Meta, and OpenAI are significantly investing in AGI research, exploring architectures that combine symbolic reasoning, neural networks, reinforcement learning, and advanced simulation models. As enterprises adopt increasingly sophisticated AI systems, the foundation for AGI integration in future operations becomes stronger.

Market Dynamics

Drivers - Big Data Expansion & Computational Power

The rapid expansion of global data volume is a major catalyst for AGI development. In 2024, worldwide data generation reached 149 zettabytes, and it is expected to hit 181 zettabytes by 2025. This exponential growth-driven by cloud adoption, IoT devices, sensors, and digital transformation-creates vast datasets essential for AGI training.

Cloud infrastructure advancements from companies such as Microsoft Azure, AWS, and Google Cloud have significantly reduced the cost of high-performance computing, enabling scalable AGI experimentation. AGI systems rely on diverse structured, semi-structured, and unstructured data-including images, audio, text, and video-to simulate human cognition and adapt to real-world complexity.

Restraints - Lack of Standardization

The absence of global AGI development standards-covering performance benchmarks, ethical guidelines, training methodologies, and safety protocols-creates fragmentation in the industry. AGI requires the ability to generalize knowledge across new scenarios, yet no unified framework exists for evaluating or regulating such systems. This slows innovation and makes integration across industries more complex.

Market Trends

Creative Industries Embrace AGI

AGI is reshaping creativity by generating artwork, music, literature, and design concepts that mimic human imagination. With the capability to analyze vast creative datasets, AGI systems can propose new ideas, finalize unfinished work, or support professional creators. Fashion companies are using AGI to forecast trends and design future collections, while artists leverage AGI for concept generation and interactive installations.

Market Opportunities

AGI-driven Robotics

Robotics is one of the most promising AGI applications. AGI-enabled robots can adapt to dynamic environments, execute multi-step tasks, and make context-aware decisions. Companies such as Tesla and Boston Dynamics are integrating AGI capabilities to enhance autonomy and task execution.

Boston Dynamics' Spot robot exemplifies AGI integration in industrial inspection and construction site management. In healthcare, AGI-powered surgical robots can improve precision and reduce medical errors, opening new commercial opportunities across hospitals and medical device manufacturers.

Segmentation Analysis

By Deployment

• Cloud Deployment dominated in 2024 and is expected to grow fastest through 2032. Cloud platforms eliminate upfront infrastructure costs and allow AGI developers to scale experimentation efficiently.
• Edge/Embedded AGI is also rising due to reduced latency, improved privacy, and the need for real-time decision-making in IoT, drones, and automotive systems.

By Type

• Self-learning AGI held the largest market share in 2024 and will grow the fastest. It independently experiments, learns, and improves without human intervention-critical for autonomous vehicles, finance, and scientific research.
• Cognitive AGI is also expanding due to its ability to emulate human reasoning and conversation.

By Application

• Autonomous Robotics/Humanoid AI led the market in 2024. Robots like SoftBank's Pepper demonstrate emotional recognition and adaptive customer engagement.
• Navigation & Autonomous Systems will grow with the highest CAGR, supported by AGI's ability to interpret LiDAR, camera data, and environmental changes in real time.

By End-User

• BFSI dominated in 2024 and will grow fastest. AGI can analyze financial markets using news sentiment, satellite imagery, and economic indicators for predictive modeling.
• Healthcare is also emerging rapidly due to AGI's capability to analyze imaging, genetic data, and clinical notes with human-like insight.

Regional Outlook

North America - Leading Market (USD 341.7 Million in 2024)

North America remains the global leader due to strong investment ecosystems, national AI strategies, and research activity from major players including Microsoft, Meta, Google, and OpenAI. Government initiatives such as the U.S. National AI Initiative Act accelerate AGI innovation.

Europe

Europe is the second-largest region, supported by collaborative R&D projects such as AI4EU, connecting academic institutions and AI firms to build a unified AGI ecosystem.

Asia Pacific

Projected to grow rapidly through 2032, with China's national AGI strategy aiming for global leadership by 2030.

Conclusion

From USD 850.0 million in 2024 to USD 11,037.3 million by 2032, the AGI market is one of the fastest-growing emerging technology sectors. Investments from global tech giants, advances in generative AI, big data availability, and growing computational power are accelerating AGI innovation. As AGI transitions into real-world use cases-including robotics, finance, healthcare, and autonomous systems-it is poised to transform every major industry over the next decade.

Segmentation By Deployment

• Cloud
• On-premise
• Edge/Embedded

By Type

• Functional AGI
• Cognitive AGI
• Self-learning AGI
• Philosophical AGI

By Application

• Autonomous Robotics / Humanoid AI
• Coding intelligence
• Navigation, Exploration and Autonomous Systems
• Customer service
• Others

By End-user

• Healthcare & Life Sciences
• BFSI
• Manufacturing
• Automotive
• IT & Telecom
• Government & Defense
• Retail & E-commerce
• Education
• Others

By Region

• North America (By Deployment, By Type, By Application, By End-user, and By Country)
  • U.S.
  • Canada
  • Mexico
• Europe (By Deployment, By Type, By Application, By End-user, and By Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Asia Pacific (By Deployment, By Type, By Application, By End-user, and By Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific
• Middle East & Africa (By Deployment, By Type, By Application, By End-user, and By Country)
  • Turkey
  • Israel
  • GCC
  • South Africa
  • North Africa
  • Rest of Middle East & Africa
• South America (By Deployment, By Type, By Application, By End-user, and By Country)
  • Brazil
  • Argentina
  • Rest of South America

Companies Profiled in the Report * IBM Corporation (U.S.)

• Alphabet Inc. (U.S.)
• Microsoft Corporation (U.S.)
• NVIDIA Corporation (U.S.)
• Meta (U.S.)
• OpenAI (U.S.)
• Anthropic PBC (U.S.)
• Numenta (U.S.)
• Hanson Robotics Ltd. (Hong Kong)
• SingularityNET (Netherlands)

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Artificial General Intelligence Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 5.1. Key Findings
• 5.2. By Deployment (USD)
  • 5.2.1. Cloud
  • 5.2.2. On-premise
  • 5.2.3. Edge/Embedded
• 5.3. By Type (USD)
  • 5.3.1. Functional AGI
  • 5.3.2. Cognitive AGI
  • 5.3.3. Self-learning AGI
  • 5.3.4. Philosophical AGI
• 5.4. By Application (USD)
  • 5.4.1. Autonomous Robotics / Humanoid AI
  • 5.4.2. Coding intelligence
  • 5.4.3. Navigation, Exploration and Autonomous Systems
  • 5.4.4. Customer service
  • 5.4.5. Others
• 5.5. By End-User (USD)
  • 5.5.1. Healthcare & Life Sciences
  • 5.5.2. BFSI
  • 5.5.3. Manufacturing
  • 5.5.4. Automotive
  • 5.5.5. IT & Telecom
  • 5.5.6. Government & Defense
  • 5.5.7. Retail & E-commerce
  • 5.5.8. Education
  • 5.5.9. Others
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. Europe
  • 5.6.3. Asia Pacific
  • 5.6.4. Middle East & Africa
  • 5.6.5. South America

6. North America Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 6.1. Key Findings
• 6.2. By Deployment (USD)
  • 6.2.1. Cloud
  • 6.2.2. On-premise
  • 6.2.3. Edge/Embedded
• 6.3. By Type (USD)
  • 6.3.1. Functional AGI
  • 6.3.2. Cognitive AGI
  • 6.3.3. Self-learning AGI
  • 6.3.4. Philosophical AGI
• 6.4. By Application (USD)
  • 6.4.1. Autonomous Robotics / Humanoid AI
  • 6.4.2. Coding intelligence
  • 6.4.3. Navigation, Exploration and Autonomous Systems
  • 6.4.4. Customer service
  • 6.4.5. Others
• 6.5. By End-User (USD)
  • 6.5.1. Healthcare & Life Sciences
  • 6.5.2. BFSI
  • 6.5.3. Manufacturing
  • 6.5.4. Automotive
  • 6.5.5. IT & Telecom
  • 6.5.6. Government & Defense
  • 6.5.7. Retail & E-commerce
  • 6.5.8. Education
  • 6.5.9. Others
• 6.6. By Country (USD)
  • 6.6.1. U.S.
  • 6.6.2. Canada
  • 6.6.3. Mexico

7. South America Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 7.1. Key Findings
• 7.2. By Deployment (USD)
  • 7.2.1. Cloud
  • 7.2.2. On-premise
  • 7.2.3. Edge/Embedded
• 7.3. By Type (USD)
  • 7.3.1. Functional AGI
  • 7.3.2. Cognitive AGI
  • 7.3.3. Self-learning AGI
  • 7.3.4. Philosophical AGI
• 7.4. By Application (USD)
  • 7.4.1. Autonomous Robotics / Humanoid AI
  • 7.4.2. Coding intelligence
  • 7.4.3. Navigation, Exploration and Autonomous Systems
  • 7.4.4. Customer service
  • 7.4.5. Others
• 7.5. By End-User (USD)
  • 7.5.1. Healthcare & Life Sciences
  • 7.5.2. BFSI
  • 7.5.3. Manufacturing
  • 7.5.4. Automotive
  • 7.5.5. IT & Telecom
  • 7.5.6. Government & Defense
  • 7.5.7. Retail & E-commerce
  • 7.5.8. Education
  • 7.5.9. Others
• 7.6. By Country (USD)
  • 7.6.1. Brazil
  • 7.6.2. Argentina
  • 7.6.3. Rest of South America

8. Europe Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 8.1. Key Findings
• 8.2. By Deployment (USD)
  • 8.2.1. Cloud
  • 8.2.2. On-premise
  • 8.2.3. Edge/Embedded
• 8.3. By Type (USD)
  • 8.3.1. Functional AGI
  • 8.3.2. Cognitive AGI
  • 8.3.3. Self-learning AGI
  • 8.3.4. Philosophical AGI
• 8.4. By Application (USD)
  • 8.4.1. Autonomous Robotics / Humanoid AI
  • 8.4.2. Coding intelligence
  • 8.4.3. Navigation, Exploration and Autonomous Systems
  • 8.4.4. Customer service
  • 8.4.5. Others
• 8.5. By End-User (USD)
  • 8.5.1. Healthcare & Life Sciences
  • 8.5.2. BFSI
  • 8.5.3. Manufacturing
  • 8.5.4. Automotive
  • 8.5.5. IT & Telecom
  • 8.5.6. Government & Defense
  • 8.5.7. Retail & E-commerce
  • 8.5.8. Education
  • 8.5.9. Others
• 8.6. By Country (USD)
  • 8.6.1. U.K.
  • 8.6.2. Germany
  • 8.6.3. France
  • 8.6.4. Italy
  • 8.6.5. Spain
  • 8.6.6. Benelux
  • 8.6.7. Nordics
  • 8.6.8. Rest of Europe

9. Middle East & Africa Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 9.1. Key Findings
• 9.2. By Deployment (USD)
  • 9.2.1. Cloud
  • 9.2.2. On-premise
  • 9.2.3. Edge/Embedded
• 9.3. By Type (USD)
  • 9.3.1. Functional AGI
  • 9.3.2. Cognitive AGI
  • 9.3.3. Self-learning AGI
  • 9.3.4. Philosophical AGI
• 9.4. By Application (USD)
  • 9.4.1. Autonomous Robotics / Humanoid AI
  • 9.4.2. Coding intelligence
  • 9.4.3. Navigation, Exploration and Autonomous Systems
  • 9.4.4. Customer service
  • 9.4.5. Others
• 9.5. By End-User (USD)
  • 9.5.1. Healthcare & Life Sciences
  • 9.5.2. BFSI
  • 9.5.3. Manufacturing
  • 9.5.4. Automotive
  • 9.5.5. IT & Telecom
  • 9.5.6. Government & Defense
  • 9.5.7. Retail & E-commerce
  • 9.5.8. Education
  • 9.5.9. Others
• 9.6. By Country (USD)
  • 9.6.1. Turkey
  • 9.6.2. Israel
  • 9.6.3. GCC
  • 9.6.4. South Africa
  • 9.6.5. North Africa
  • 9.6.6. Rest of Middle East & Africa

10. Asia Pacific Artificial General Intelligence Market Size Estimates and Forecasts, By Segments, 2024-2032

• 10.1. Key Findings
• 10.2. By Deployment (USD)
  • 10.2.1. Cloud
  • 10.2.2. On-premise
  • 10.2.3. Edge/Embedded
• 10.3. By Type (USD)
  • 10.3.1. Functional AGI
  • 10.3.2. Cognitive AGI
  • 10.3.3. Self-learning AGI
  • 10.3.4. Philosophical AGI
• 10.4. By Application (USD)
  • 10.4.1. Autonomous Robotics / Humanoid AI
  • 10.4.2. Coding intelligence
  • 10.4.3. Navigation, Exploration and Autonomous Systems
  • 10.4.4. Customer service
  • 10.4.5. Others
• 10.5. By End-User (USD)
  • 10.5.1. Healthcare & Life Sciences
  • 10.5.2. BFSI
  • 10.5.3. Manufacturing
  • 10.5.4. Automotive
  • 10.5.5. IT & Telecom
  • 10.5.6. Government & Defense
  • 10.5.7. Retail & E-commerce
  • 10.5.8. Education
  • 10.5.9. Others
• 10.6. By Country (USD)
  • 10.6.1. China
  • 10.6.2. India
  • 10.6.3. Japan
  • 10.6.4. South Korea
  • 10.6.5. ASEAN
  • 10.6.6. Oceania
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. IBM Corporation
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Alphabet, Inc.
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Microsoft Corporation
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Nvidia Corporation
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Meta
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. OpenAI
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Anthropic PBC
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Numenta
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Hanson Robotics Ltd
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. SingularityNET
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways