Artificial General Intelligence Market by Offering (Hardware, Services, Software), Technology (Machine Learning & Deep Learning, Natural Language Processing, Robotics), Deployment Mode, Vertical - Global Forecast 2024-2030

Artificial General Intelligence Market by Offering (Hardware, Services, Software), Technology (Machine Learning & Deep Learning, Natural Language Processing, Robotics), Deployment Mode, Vertical - Global Forecast 2024-2030


The Artificial General Intelligence Market size was estimated at USD 3.44 billion in 2023 and expected to reach USD 4.54 billion in 2024, at a CAGR 33.92% to reach USD 26.65 billion by 2030.

Artificial General Intelligence (AGI) is a type of artificial intelligence (AI) that can comprehend, learn, and use knowledge across a wide range of tasks, mimicking the cognitive abilities of a human being. Unlike more common AI systems that allow one to excel at specific assignments such as image recognition or playing chess, AGI can adapt to solve complex problems in various fields without needing to be specifically programmed for each task. The expansion of AGI usage is driven by advancements in computational power, improvements in machine learning algorithms, and the increasing availability of large data sets. Businesses seek efficiency through automation, which helps in pushing forward AGI research and applications. However, developing AGI poses significant challenges, including ethical concerns, such as surveillance and privacy, ensuring safety and preventing harmful uses, and the technical difficulty of creating systems that can generalize across a wide range of scenarios without human intervention. Furthermore, enhancing automation in industries such as healthcare, finance, and logistics leads to increased efficiency and decision-making capabilities. Additionally, AGI could significantly contribute to solving complex international challenges, including climate change and resource management, by optimizing systems and processes beyond human capabilities.

Regional Insights

In North America, especially in the United States and Canada, there is an emphasis on AGI for enhancing personalization in services ranging from e-commerce to healthcare. High consumer spending power supports the uptake of advanced technology solutions. The American region is a global hub for AGI-related innovations, with major investments in AI from Silicon Valley tech giants and substantial funding in university-led research. Various government initiatives highlight regional commitment to advancing AGI technology and addressing ethical concerns. EU consumers exhibit high awareness and concern for privacy and data protection, influencing AGI applications towards compliance with GDPR. The EU is at the forefront of AGI-related research, supported by funding initiatives by the European Union. In the Middle East, luxury and personalized services drive AGI applications in sectors including tourism and finance. The Middle East has seen growth in AI investments in Dubai and Saudi Arabia, focusing on becoming smart digital economies. However, in Africa, AGI is seen as a tool to address social and economic challenges, including education and health services. In the Asia Pacific region, there is a high demand for automation technologies driven by large manufacturing sectors and burgeoning digital markets. Consumers and businesses show readiness to adopt new technologies to enhance productivity and quality of life. China and Japan are major countries in innovations related to AGI, emphasizing advancements in robotics and natural language processing. Meanwhile, India focuses on developing ethical AI frameworks and AGI applications in education and healthcare.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial General Intelligence Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

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
Market Segmentation Analysis
  • Offering: Ongoing advancements in hardware to enhance the performance of AGI applications
  • Deployment Mode: Growing adoption of on-premises deployment as it offers data control and security
Market Disruption Analysis
  • Porter’s Five Forces Analysis
  • Value Chain & Critical Path Analysis
  • Pricing Analysis
  • Technology Analysis
  • Patent Analysis
  • Trade Analysis
  • Regulatory Framework Analysis
FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial General Intelligence Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial General Intelligence Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Strategic Collaboration between Accenture and Oracle to Empower Finance Teams with Generative AI

Accenture and Oracle have announced a new partnership to integrate generative artificial intelligence (AI) technologies into Oracle's financial management solutions. This collaboration aims to enhance the operational efficiency of finance teams by automating routine tasks, thereby allowing finance professionals to concentrate on strategic and value-added activities. This initiative represents a pioneering step towards digital transformation in the financial sector, leveraging cutting-edge AI to redefine traditional financial management practices.

Ankura Partners with OpenAI to Launch Cutting-Edge Virtual General Intelligence System

Management consultancy firm Ankura, in collaboration with OpenAI, has introduced a pioneering Virtual General Intelligence system. This innovative tool integrates OpenAI's advanced artificial intelligence algorithms with Ankura's deep sector expertise to offer unique, data-driven solutions across various industries. The system aims to enhance decision-making processes, streamline operations, and foster innovation by leveraging AI's capabilities to analyze extensive amounts of data swiftly and accurately.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial General Intelligence Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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:
  • Offering
  • Hardware
  • Services
  • Software
  • Technology
  • Machine Learning & Deep Learning
  • Natural Language Processing
  • Robotics
  • Deployment Mode
  • Cloud
  • On-premises
  • Vertical
  • Agriculture
  • Automotive, Transportation & Logistics
  • BFSI
  • Energy & Utilities
  • Government & Defense
  • Healthcare & Life Sciences
  • IT & Telecom
  • Manufacturing
  • Media & Entertainment
  • Retail & eCommerce
  • Region
  • Americas
  • Argentina
  • Brazil
  • Canada
  • Mexico
  • United States
  • California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific
  • Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom


Please Note: PDF & Excel + Online Access - 1 Year


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. Market Disruption Analysis
5.4. Porter’s Five Forces Analysis
5.4.1. Threat of New Entrants
5.4.2. Threat of Substitutes
5.4.3. Bargaining Power of Customers
5.4.4. Bargaining Power of Suppliers
5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis
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
14. Competitive Portfolio
14.1. Key Company Profiles
14.2. Key Product Portfolio

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings