PUBLISHER: Blueweave Consulting | PRODUCT CODE: 1534370
PUBLISHER: Blueweave Consulting | PRODUCT CODE: 1534370
Artificial General Intelligence Market, By Deployment; By Technology; By Functionality; By End User Industry; By Region
Global Artificial General Intelligence (AGI) Market Exploding 9X at Stellar CAGR of 14.53% to Reach Whopping Size of USD 28.66 Billion by 2030
Global Artificial General Intelligence (AGI) Market is booming due to advances in machine learning, neural networks, an increasing demand for automation across industries, and AGI's potential for transformative applications.
BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global Artificial General Intelligence (AGI) Market size by value at USD 3.18 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects Global Artificial General Intelligence (AGI) Market size to expand at a CAGR of 14.53% reaching a value of USD 28.66 billion in 2030. Artificial General Intelligence (AGI) is a rapidly growing field of research aimed at creating machines capable of independent reasoning, learning, and decision-making. AGI is said to have the potential to revolutionize industries like Computer-Aided Design (CAD), automatic translation, and data-driven machine learning. The demand for AGI is increasing due to the need for advanced automation and intelligent systems. Major players are investing heavily in R&D, and the widespread adoption of AI in businesses is driving market growth. Cognitive services, including natural language processing and computer vision, are expected to drive AGI market growth.
Opportunity - Significant potential of AGI to transform various industries
The advent of Artificial General Intelligence (AGI) promises to transform diverse sectors by enabling advanced automation, decision-making, and problem-solving capabilities beyond human capacity. AGI's ability to analyze vast datasets, predict outcomes, and adapt to dynamic environments could revolutionize industries such as healthcare, finance, manufacturing, and transportation. In healthcare, AGI could enhance diagnostics and personalized treatments. In finance, it might optimize trading strategies and risk management. In manufacturing, AGI could streamline operations and improve efficiency. The ability of AGI to innovate across sectors positions AGI as a pivotal technology driving future industrial evolution and economic growth.
Impact of Escalating Geopolitical Tensions on Global Artificial General Intelligence (AGI) Market
Escalating geopolitical tensions can significantly impact Global Artificial General Intelligence (AGI) Market. Increased instability may disrupt international collaborations crucial for AGI R&D programs, leading to funding uncertainties and regulatory challenges. Companies operating in politically sensitive regions could face operational disruptions and heightened cybersecurity threats, affecting data security and technology deployment. Moreover, geopolitical conflicts may reshape global trade patterns, influencing supply chains and access to critical AGI components and expertise. Overall, uncertainty stemming from geopolitical tensions poses risks to innovations, investments, and growth in the AGI market globally.
Global Artificial General Intelligence (AGI) Market
Global Artificial General Intelligence (AGI) Market - By End Use Industry
By end use industry, Global Artificial General Intelligence (AGI) Market is divided into Healthcare, Education, Manufacturing, Financial Services, Retail, Automotive, and Research & Development segments. Healthcare is the largest end use industry segment in Global Artificial General Intelligence (AGI) Market, primarily driven by applications in medical diagnostics, personalized treatment plans, and patient care optimization. The healthcare sector benefits significantly from AGI's capabilities in data analysis, pattern recognition, and decision-making support. The education segment follows closely, leveraging AGI for personalized learning experiences and administrative tasks. Manufacturing, financial services, retail, automotive, and research & development end use segments also adopt AGI for process optimization, customer insights, automation, and innovation, contributing to the market's growth and technological advancements.
Competitive Landscape
Global Artificial General Intelligence (AGI) Market is fiercely competitive, with numerous companies vying for a larger market share. Major companies in the market include Google LLC, IBM, Microsoft, Open.AI, SAP, Intel, Amazon, Salesforce, Brighterion, Megvii Technology, Albert Technologies, H2O.ai, Meta, Brainasoft, Wipro, AIBrain, and Apple. These companies use various strategies, including increasing investments in their R&D activities, mergers and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in Global Artificial General Intelligence (AGI) Market.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial General Intelligence (AGI) Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial General Intelligence (AGI) Market and industry insights to help decision-makers make sound strategic decisions. Further, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.
Table of Contents
1. Research Framework
- 1.1. Research Objective
- 1.2. Product Overview
- 1.3. Market Segmentation
2. Executive Summary
3. Global Artificial General Intelligence (AGI) Market Insights
- 3.1. Industry Value Chain Analysis
- 3.2. DROC Analysis
- 3.2.1. Growth Drivers
- 3.2.1.1. Increasing Demand for Automation
- 3.2.1.2. Growing Investments and Advancements in AGI Research
- 3.2.1.3. Enhancement of Human Capabilities through AGI
- 3.2.2. Restraints
- 3.2.2.1. Technical Challenges in Developing AGI
- 3.2.2.2. Ethical Concerns Regarding AGI Deployment
- 3.2.2.3. Regulatory Uncertainty Surrounding AGI
- 3.2.3. Opportunities
- 3.2.3.1. Potential to Revolutionize Various Industries.
- 3.2.3.2. Capability for Highly Personalized Solutions.
- 3.2.4. Challenges
- 3.2.4.1. Ensuring Bias and Fairness in AGI Systems
- 3.2.4.2. Impact on the Future of Work and Job Market
- 3.2.1. Growth Drivers
- 3.3. Technological Advancements/Recent Developments
- 3.4. Regulatory Framework
- 3.5. Porter's Five Forces Analysis
- 3.5.1. Bargaining Power of Suppliers
- 3.5.2. Bargaining Power of Buyers
- 3.5.3. Threat of New Entrants
- 3.5.4. Threat of Substitutes
- 3.5.5. Intensity of Rivalry
4. Global Artificial General Intelligence (AGI) Market: Marketing Strategies
5. Global Artificial General Intelligence (AGI) Market Overview
- 5.1. Market Size & Forecast, 2019-2030
- 5.1.1. By Value (USD Billion)
- 5.2. Market Share and Forecast
- 5.2.1. By Deployment
- 5.2.1.1. On-premises
- 5.2.1.2. Cloud-based
- 5.2.1.3. Hybrid
- 5.2.2. By Technology
- 5.2.2.1. Symbolic AI
- 5.2.2.2. Connectionist AI (Artificial Neural Networks)
- 5.2.2.3. Artificial Consciousness
- 5.2.2.4. Whole Brain Emulation
- 5.2.2.5. Embodied AI & Embodied Cognition
- 5.2.3. By Functionality
- 5.2.3.1. Perception Systems
- 5.2.3.2. Decision Making
- 5.2.3.3. Learning & Adaptation
- 5.2.3.4. Problem-solving
- 5.2.3.5. Creative & Generative Capabilities
- 5.2.3.6. Social & Emotional Engagement
- 5.2.4. By End User Industry
- 5.2.4.1. Healthcare
- 5.2.4.2. Education
- 5.2.4.3. Manufacturing
- 5.2.4.4. Financial Services
- 5.2.4.5. Retail
- 5.2.4.6. Automotive
- 5.2.4.7. Research & Development
- 5.2.5. By Region
- 5.2.5.1. North America
- 5.2.5.2. Europe
- 5.2.5.3. Asia Pacific (APAC)
- 5.2.5.4. Latin America (LATAM)
- 5.2.5.5. Middle East and Africa (MEA)
- 5.2.1. By Deployment
6. North America Artificial General Intelligence (AGI) Market
- 6.1. Market Size & Forecast, 2019-2030
- 6.1.1. By Value (USD Billion)
- 6.2. Market Share & Forecast
- 6.2.1. By Deployment
- 6.2.2. By Technology Approach
- 6.2.3. By Functionality
- 6.2.4. By End User Industry
- 6.2.5. By Country
- 6.2.5.1. United States
- 6.2.5.1.1. By Deployment
- 6.2.5.1.2. By Technology Approach
- 6.2.5.1.3. By Functionality
- 6.2.5.1.4. By End User Industry
- 6.2.5.2. Canada
- 6.2.5.2.1. By Deployment
- 6.2.5.2.2. By Technology Approach
- 6.2.5.2.3. By Functionality
- 6.2.5.2.4. By End User Industry
7. Europe Artificial General Intelligence (AGI) Market
- 7.1. Market Size & Forecast, 2019-2030
- 7.1.1. By Value (USD Billion)
- 7.2. Market Share & Forecast
- 7.2.1. By Deployment
- 7.2.2. By Technology Approach
- 7.2.3. By Functionality
- 7.2.4. By End User Industry
- 7.2.5. By Country
- 7.2.5.1. Germany
- 7.2.5.1.1. By Deployment
- 7.2.5.1.2. By Technology Approach
- 7.2.5.1.3. By Functionality
- 7.2.5.1.4. By End User Industry
- 7.2.5.2. United Kingdom
- 7.2.5.2.1. By Deployment
- 7.2.5.2.2. By Technology Approach
- 7.2.5.2.3. By Functionality
- 7.2.5.2.4. By End User Industry
- 7.2.5.3. Italy
- 7.2.5.3.1. By Deployment
- 7.2.5.3.2. By Technology Approach
- 7.2.5.3.3. By Functionality
- 7.2.5.3.4. By End User Industry
- 7.2.5.4. France
- 7.2.5.4.1. By Deployment
- 7.2.5.4.2. By Technology Approach
- 7.2.5.4.3. By Functionality
- 7.2.5.4.4. By End User Industry
- 7.2.5.5. Spain
- 7.2.5.5.1. By Deployment
- 7.2.5.5.2. By Technology Approach
- 7.2.5.5.3. By Functionality
- 7.2.5.5.4. By End User Industry
- 7.2.5.6. Belgium
- 7.2.5.6.1. By Deployment
- 7.2.5.6.2. By Technology Approach
- 7.2.5.6.3. By Functionality
- 7.2.5.6.4. By End User Industry
- 7.2.5.7. Russia
- 7.2.5.7.1. By Deployment
- 7.2.5.7.2. By Technology Approach
- 7.2.5.7.3. By Functionality
- 7.2.5.7.4. By End User Industry
- 7.2.5.8. Netherlands
- 7.2.5.8.1. By Deployment
- 7.2.5.8.2. By Technology Approach
- 7.2.5.8.3. By Functionality
- 7.2.5.8.4. By End User Industry
- 7.2.5.9. Rest of Europe
- 7.2.5.9.1. By Deployment
- 7.2.5.9.2. By Technology Approach
- 7.2.5.9.3. By Functionality
- 7.2.5.9.4. By End User Industry
8. Asia Pacific Artificial General Intelligence (AGI) Market
- 8.1. Market Size & Forecast, 2019-2030
- 8.1.1. By Value (USD Billion)
- 8.2. Market Share & Forecast
- 8.2.1. By Deployment
- 8.2.2. By Technology Approach
- 8.2.3. By Functionality
- 8.2.4. By End User Industry
- 8.2.5. By Country
- 8.2.5.1. China
- 8.2.5.1.1. By Deployment
- 8.2.5.1.2. By Technology Approach
- 8.2.5.1.3. By Functionality
- 8.2.5.1.4. By End User Industry
- 8.2.5.2. India
- 8.2.5.2.1. By Deployment
- 8.2.5.2.2. By Technology Approach
- 8.2.5.2.3. By Functionality
- 8.2.5.2.4. By End User Industry
- 8.2.5.3. Japan
- 8.2.5.3.1. By Deployment
- 8.2.5.3.2. By Technology Approach
- 8.2.5.3.3. By Functionality
- 8.2.5.3.4. By End User Industry
- 8.2.5.4. South Korea
- 8.2.5.4.1. By Deployment
- 8.2.5.4.2. By Technology Approach
- 8.2.5.4.3. By Functionality
- 8.2.5.4.4. By End User Industry
- 8.2.5.5. Australia & New Zealand
- 8.2.5.5.1. By Deployment
- 8.2.5.5.2. By Technology Approach
- 8.2.5.5.3. By Functionality
- 8.2.5.5.4. By End User Industry
- 8.2.5.6. Indonesia
- 8.2.5.6.1. By Deployment
- 8.2.5.6.2. By Technology Approach
- 8.2.5.6.3. By Functionality
- 8.2.5.6.4. By End User Industry
- 8.2.5.7. Malaysia
- 8.2.5.7.1. By Deployment
- 8.2.5.7.2. By Technology Approach
- 8.2.5.7.3. By Functionality
- 8.2.5.7.4. By End User Industry
- 8.2.5.8. Singapore
- 8.2.5.8.1. By Deployment
- 8.2.5.8.2. By Technology Approach
- 8.2.5.8.3. By Functionality
- 8.2.5.8.4. By End User Industry
- 8.2.5.9. Vietnam
- 8.2.5.9.1. By Deployment
- 8.2.5.9.2. By Technology Approach
- 8.2.5.9.3. By Functionality
- 8.2.5.9.4. By End User Industry
- 8.2.5.10. Rest of APAC
- 8.2.5.10.1. By Deployment
- 8.2.5.10.2. By Technology Approach
- 8.2.5.10.3. By Functionality
- 8.2.5.10.4. By End User Industry
9. Latin America Artificial General Intelligence (AGI) Market
- 9.1. Market Size & Forecast, 2019-2030
- 9.1.1. By Value (USD Billion)
- 9.2. Market Share & Forecast
- 9.2.1. By Deployment
- 9.2.2. By Technology Approach
- 9.2.3. By Functionality
- 9.2.4. By End User Industry
- 9.2.5. By Country
- 9.2.5.1. Brazil
- 9.2.5.1.1. By Deployment
- 9.2.5.1.2. By Technology Approach
- 9.2.5.1.3. By Functionality
- 9.2.5.1.4. By End User Industry
- 9.2.5.2. Mexico
- 9.2.5.2.1. By Deployment
- 9.2.5.2.2. By Technology Approach
- 9.2.5.2.3. By Functionality
- 9.2.5.2.4. By End User Industry
- 9.2.5.3. Argentina
- 9.2.5.3.1. By Deployment
- 9.2.5.3.2. By Technology Approach
- 9.2.5.3.3. By Functionality
- 9.2.5.3.4. By End User Industry
- 9.2.5.4. Peru
- 9.2.5.4.1. By Deployment
- 9.2.5.4.2. By Technology Approach
- 9.2.5.4.3. By Functionality
- 9.2.5.4.4. By End User Industry
- 9.2.5.5. Rest of LATAM
- 9.2.5.5.1. By Deployment
- 9.2.5.5.2. By Technology Approach
- 9.2.5.5.3. By Functionality
- 9.2.5.5.4. By End User Industry
10. Middle East & Africa Artificial General Intelligence (AGI) Market
- 10.1. Market Size & Forecast, 2019-2030
- 10.1.1. By Value (USD Billion)
- 10.2. Market Share & Forecast
- 10.2.1. By Deployment
- 10.2.2. By Technology Approach
- 10.2.3. By Functionality
- 10.2.4. By End User Industry
- 10.2.5. By Country
- 10.2.5.1. Saudi Arabia
- 10.2.5.1.1. By Deployment
- 10.2.5.1.2. By Technology Approach
- 10.2.5.1.3. By Functionality
- 10.2.5.1.4. By End User Industry
- 10.2.5.2. UAE
- 10.2.5.2.1. By Deployment
- 10.2.5.2.2. By Technology Approach
- 10.2.5.2.3. By Functionality
- 10.2.5.2.4. By End User Industry
- 10.2.5.3. Qatar
- 10.2.5.3.1. By Deployment
- 10.2.5.3.2. By Technology Approach
- 10.2.5.3.3. By Functionality
- 10.2.5.3.4. By End User Industry
- 10.2.5.4. Kuwait
- 10.2.5.4.1. By Deployment
- 10.2.5.4.2. By Technology Approach
- 10.2.5.4.3. By Functionality
- 10.2.5.4.4. By End User Industry
- 10.2.5.5. South Africa
- 10.2.5.5.1. By Deployment
- 10.2.5.5.2. By Technology Approach
- 10.2.5.5.3. By Functionality
- 10.2.5.5.4. By End User Industry
- 10.2.5.6. Nigeria
- 10.2.5.6.1. By Deployment
- 10.2.5.6.2. By Technology Approach
- 10.2.5.6.3. By Functionality
- 10.2.5.6.4. By End User Industry
- 10.2.5.7. Algeria
- 10.2.5.7.1. By Deployment
- 10.2.5.7.2. By Technology Approach
- 10.2.5.7.3. By Functionality
- 10.2.5.7.4. By End User Industry
- 10.2.5.8. Rest of MEA
- 10.2.5.8.1. By Deployment
- 10.2.5.8.2. By Technology Approach
- 10.2.5.8.3. By Functionality
- 10.2.5.8.4. By End User Industry
11. Competitive Landscape
- 11.1. List of Key Players and Their Offerings
- 11.2. Global Artificial General Intelligence (AGI) Market Share Analysis, 2023
- 11.3. Competitive Benchmarking, By Operating Parameters
- 11.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
12. Impact of Escalating Geopolitical Tensions on Global Artificial General Intelligence (AGI) Market
13. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
- 13.1. Google
- 13.2. IBM
- 13.3. Microsoft
- 13.4. Open.AI
- 13.5. SAP
- 13.6. Intel
- 13.7. Amazon
- 13.8. Salesforce
- 13.9. Brighterion
- 13.10. Megvii Technology
- 13.11. Albert Technologies
- 13.12. H2O.ai
- 13.13. Meta
- 13.14. Brainasoft
- 13.15. Wipro
- 13.16. AIBrain
- 13.17. Apple
- 13.18. Other Prominent Players
14. Key Strategic Recommendations
15. Research Methodology
- 15.1. Qualitative Research
- 15.1.1. Primary & Secondary Research
- 15.2. Quantitative Research
- 15.3. Market Breakdown & Data Triangulation
- 15.3.1. Secondary Research
- 15.3.2. Primary Research
- 15.4. Breakdown of Primary Research Respondents, By Region
- 15.5. Assumptions & Limitations
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable
