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Artificial General Intelligence (AGI) Market

Artificial General Intelligence (AGI) Market Size, Share & Trends Analysis Report By Type of Offering (Hardware, Software and Service), Type of Technology (Machine Learning, Deep Learning, Natural Language Processing and Robotics), Mode of Deployment, Type of AI, Type of Processing, Company Size, Area of Application, End User, Business Model, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2720 | Published : 2024-08-29 | Pages: 165 | Format: PDF/EXCEL

The Artificial General Intelligence (AGI) Market Size is valued at USD 3.2 billion in 2023 and is predicted to reach USD 26.9 billion by the year 2031 at a 31.3% CAGR during the forecast period for 2024-2031.

AGI 

Artificial General Intelligence (AGI) is a type of AI that can understand, learn, and perform any intellectual task that a human can. Unlike narrow AI, which is specialized for specific tasks, AGI would have the ability to generalize knowledge across different areas, function autonomously, and improve itself over time. AGI could revolutionize industries but also raises significant ethical, social, and existential concerns. The advancement of AGI is also being fueled by significant investments made by industry participants in scientific research and development (R&D) programs. Additionally, a major factor in the growth of the artificial intelligence sector is the broad use of AI in a variety of industries.

However, the biggest obstacles in the AGI industry are technical difficulty. In contrast with conventional AI, which is intended for specific uses, AGI needs to be as flexible and adaptive as human intellect. This calls for advances in domains like automatic learning capacities, abstraction, contextual awareness, and linguistic recognition. Even with sophisticated learning algorithms, modern artificial intelligence (AI) systems find it difficult to extend information among domains without requiring extensive remediation. Furthermore, developing a system that can comprehend and handle enormous volumes of unorganized data in a way that is compatible with the human mind is an enormous undertaking. The actual deployment of artificial general intelligence (AGI) is hampered by the AI field's ongoing struggles with constraints in technical capacity, analyzing data, and the inclusion of sophisticated neural networks.

Competitive Landscape

Some Major Key Players In The Artificial General Intelligence (AGI) Market:

  • Ada Support
  • AIBrain
  • Albert Technologies
  • Alibaba
  • Amazon
  • Anki
  • Apple
  • Astute Solutions
  • Baidu
  • Brainasoft
  • Brighterion
  • Cambricon
  • Google
  • Huawei
  • IBM
  • IDEAL
  • IFlyTek
  • Intel
  • Ipsoft
  • Megvii Technology
  • Meta
  • Microsoft
  • NanoRep (LogMeIn)
  • Salesforce
  • SAP
  • SenseTime
  • Sogou
  • SoundHound
  • Tencent
  • Thunder Software
  • Wipro
  • Yseop
  • Zebra Medical Vision
  • Other Market Players

Market Segmentation:

The artificial general intelligence (AGI) market is segmented based on offering, technology, deployment, processing, application, company size, end user, and business model. Based on the offering, the market is segmented into hardware, software, and services. According to the technology segment, the market is segmented into machine learning (ML), natural language processing, deep learning, and robotics. By deployment, the market is divided into cloud-based, on-premise, and Web-based. By processing, the market is segmented into image processing, text processing, and voice processing. By application, the market is segmented into cybersecurity, financial trading, healthcare research, manufacturing, online search, personal security, predictive analytics, robot-assisted surgery, smart cars, telehealth, virtual nursing assistance, and others. By company size, the market is segmented into small and medium-sized enterprises (SMEs), large enterprises. By end-user, the market is further segmented into agriculture, automotive, financial services and insurance (BFSI), banking, educational institutes, government and defense, healthcare, IT and telecom, manufacturing, media and entertainment, retail and eCommerce, transportation and logistics, and others. By Business Model, the market is segmented into B2B, B2C, and B2B2C.

Based On The End-User, The Banking, Financial Services And Insurance (BFSI) Segment Is Accounted As A Major Contributor To The Artificial General Intelligence (AGI) Market

The natural language processing (NLP) artificial general intelligence (AGI) market is expected to hold a major global market share in 2023. BFSI is the dominant category. Businesses providing banking services, including commercial, retail, and expenditures, as well as investment management services, financial services, and protection services for both economic and life risks, make up the BFSI sector. To control operational issues, ensure profitable development, and provide optimum efficiency, financial institutions like banks and insurance companies need to use innovative information technology.

Software Segment Of Offering Category To Witness Growth At A Rapid Rate.

According to market research, the software category is currently the industry leader, having obtained the highest part of the AGI market. The segment's prominence can be due to the increasing need for advanced algorithms, machine learning frameworks, and natural language processing software and tools. These technologies enable innovation in AGI systems. The increasing popularity of software and tools can be attributed to their ability to enhance fundamental intelligence and decision-making capabilities in AGI applications across many industries.

In The Region, The North American Artificial General Intelligence (AGI) Market Holds A Significant Revenue Share

The North American artificial general intelligence (AGI) market is expected to note the highest market share in revenue in the near future. This can be attributed to its robust manufacturing foundation, highly developed technological bases, and extensive use of the Internet of Things (IoT) devices across numerous industries. The area encourages artificial intelligence adoption and ecological expansion with its favorable legislative environment, excellent investing environment, and dynamic and driven culture. In addition, Asia Pacific is likely to grow rapidly in the artificial general intelligence (AGI) market because of the expanding embrace of NLP (natural language processing) technologies. In addition, the growing online retail sector is increasing demand for AI-driven solutions that improve customer service, streamline operations, and target advertising.

Recent Developments:

  • In Jan 2024, Meta aimed to become the first to develop AGI that would surpass human intelligence. Meta planned to use approximately 350,000 Nvidia AI chips by the end of the year. They also planned to combine their two major AI research groups, FAIR and GenAI, to speed up their work.

Artificial General Intelligence (AGI) Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 3.2 Bn

Revenue Forecast In 2031

USD 26.9 Bn

Growth Rate CAGR

CAGR of 31.3% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Offering, Technology, Deployment, Processing, Application, Company Size, End User, And Business Model

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Ada Support, AIBrain, Albert Technologies, Alibaba, Amazon, Anki, Apple, Astute Solutions, Baidu, Brainasoft, Brighterion, Cambricon, Google, H2O.ai, Huawei, IBM, IDEAL, IFlyTek, Intel, Ipsoft, Megvii Technology, Meta, Microsoft, NanoRep (LogMeIn), Salesforce, SAP, SenseTime, Sogou, SoundHound, Tencent, Thunder Software, Wipro, Yseop, and Zebra Medical Vision.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial General Intelligence Market Snapshot

Chapter 4. Global Artificial General Intelligence Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Type of Offering Estimates & Trend Analysis
5.1. By Type of Offering & Market Share, 2023 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Type of Offering:

5.2.1. Hardware
5.2.2. Software
5.2.3. Service

Chapter 6. Market Segmentation 2: By Type of Technology Estimates & Trend Analysis
6.1. By Type of Technology & Market Share, 2023 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Type of Technology:

6.2.1. Machine Learning
6.2.2. Deep Learning
6.2.3. Natural Language Processing
6.2.4. Robotics

Chapter 7. Market Segmentation 3: By Mode of Deployment Estimates & Trend Analysis
7.1. By Mode of Deployment & Market Share, 2023 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Mode of Deployment:

7.2.1. Cloud-based
7.2.2. On Premise
7.2.3. Web-based

Chapter 8. Market Segmentation 4: by Type of AGI Estimates & Trend Analysis
8.1. by Type of AGI & Market Share, 2023 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type of AGI:

8.2.1. Weak AI
8.2.2. Strong AI
8.2.3. Superintelligence

Chapter 9. Market Segmentation 5: by Type of Processing Estimates & Trend Analysis
9.1. by Type of Processing & Market Share, 2023 & 2031
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type of Processing:

9.2.1. Image Processing
9.2.2. Text Processing
9.2.3. Voice Processing

Chapter 10. Market Segmentation 6: by Area of Application Estimates & Trend Analysis
10.1. by Area of Application & Market Share, 2023 & 2031
10.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Area of Application:

10.2.1. Cybersecurity
10.2.2. Financial Trading
10.2.3. Healthcare Research
10.2.4. Manufacturing
10.2.5. Online Search
10.2.6. Personal Security
10.2.7. Predictive Analytics
10.2.8. Robot-Assisted Surgery
10.2.9. Smart Cars
10.2.10. Telehealth
10.2.11. Virtual Nursing Assistance
10.2.12. Others

Chapter 11. Market Segmentation 7: by Company Size Estimates & Trend Analysis
11.1. by Company Size & Market Share, 2023 & 2031
11.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Company Size:

11.2.1. Small and Medium-sized Enterprises (SMEs)
11.2.2. Large Enterprises

Chapter 12. Market Segmentation 8: by End User Estimates & Trend Analysis
12.1. by End User & Market Share, 2023 & 2031
12.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End User:

12.2.1. Agriculture
12.2.2. Automotive
12.2.3. Banking, Financial Services and Insurance (BFSI)
12.2.4. Educational Institutes
12.2.5. Government and Defense
12.2.6. Healthcare
12.2.7. IT and Telecom
12.2.8. Manufacturing
12.2.9. Media and Entertainment
12.2.10. Retail and eCommerce
12.2.11. Transportation and Logistics
12.2.12. Others

Chapter 13. Market Segmentation 9: by Business Model Estimates & Trend Analysis
13.1. by Business Model & Market Share, 2023 & 2031
13.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Business Model:

13.2.1. B2B
13.2.2. B2C
13.2.3. B2B2C

Chapter 14. Artificial General Intelligence Market Segmentation 10: Regional Estimates & Trend Analysis

14.1. North America
14.1.1. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Offering, 2024-2031
14.1.2. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of AGI, 2024-2031
14.1.3. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Technology, 2024-2031
14.1.4. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Mode of Deployment, 2024-2031
14.1.5. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Processing, 2024-2031
14.1.6. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Area of Application, 2024-2031
14.1.7. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Company Size, 2024-2031
14.1.8. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
14.1.9. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2024-2031
14.1.10. North America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031.

14.2. Europe
14.2.1. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Offering, 2024-2031
14.2.2. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of AGI, 2024-2031
14.2.3. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Technology, 2024-2031
14.2.4. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Mode of Deployment, 2024-2031
14.2.5. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Processing, 2024-2031
14.2.6. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Area of Application, 2024-2031
14.2.7. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Company Size, 2024-2031
14.2.8. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
14.2.9. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2024-2031
14.2.10. Europe Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031.

14.3. Asia Pacific
14.3.1. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Offering, 2024-2031
14.3.2. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of AGI, 2024-2031
14.3.3. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Technology, 2024-2031
14.3.4. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Mode of Deployment, 2024-2031
14.3.5. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Processing, 2024-2031
14.3.6. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Area of Application, 2024-2031
14.3.7. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Company Size, 2024-2031
14.3.8. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
14.3.9. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2024-2031
14.3.10. Asia Pacific Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031.

14.4. Latin America
14.4.1. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Offering, 2024-2031
14.4.2. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of AGI, 2024-2031
14.4.3. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Technology, 2024-2031
14.4.4. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Mode of Deployment, 2024-2031
14.4.5. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Processing, 2024-2031
14.4.6. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Area of Application, 2024-2031
14.4.7. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Company Size, 2024-2031
14.4.8. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
14.4.9. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2024-2031
14.4.10. Latin America Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031.

14.5. Middle East & Africa
14.5.1. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Offering, 2024-2031
14.5.2. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of AGI, 2024-2031
14.5.3. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Technology, 2024-2031
14.5.4. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Mode of Deployment, 2024-2031
14.5.5. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Type of Processing, 2024-2031
14.5.6. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Area of Application, 2024-2031
14.5.7. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Company Size, 2024-2031
14.5.8. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031
14.5.9. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2024-2031
14.5.10. Middle East & Africa Artificial General Intelligence Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031.

Chapter 15. Competitive Landscape
15.1. Major Mergers and Acquisitions/Strategic Alliances
15.2. Company Profiles

15.2.1. Ada Support
15.2.2. AIBrain
15.2.3. Albert Technologies
15.2.4. Alibaba
15.2.5. Amazon
15.2.6. Anki
15.2.7. Apple
15.2.8. Astute Solutions
15.2.9. Baidu
15.2.10. Brainasoft
15.2.11. Brighterion
15.2.12. Cambricon
15.2.13. Google
15.2.14. H2O.ai
15.2.15. Huawei
15.2.16. IBM
15.2.17. IDEAL
15.2.18. IFlyTek
15.2.19. Intel
15.2.20. Ipsoft
15.2.21. Megvii Technology
15.2.22. Meta
15.2.23. Microsoft
15.2.24. NanoRep (LogMeIn)
15.2.25. Salesforce
15.2.26. SAP
15.2.27. SenseTime
15.2.28. Sogou
15.2.29. SoundHound
15.2.30. Tencent
15.2.31. Thunder Software
15.2.32. Wipro
15.2.33. Yseop
15.2.34. Zebra Medical Vision
15.2.35. Other Players

Segmentation of Artificial General Intelligence (AGI) Market-

Artificial General Intelligence (AGI) Market By Offering-

  • Hardware
  • Software
  • Service

AGI

Artificial General Intelligence (AGI) Market By Technology-

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Robotics

Artificial General Intelligence (AGI) Market By Deployment-

  • Cloud-based
  • On Premise
  • Web-based

Artificial General Intelligence (AGI) Market By Processing-

  • Image Processing
  • Text Processing
  • Voice Processing

Artificial General Intelligence (AGI) Market By Application-

  • Cybersecurity
  • Financial Trading
  • Healthcare Research
  • Manufacturing
  • Online Search
  • Personal Security
  • Predictive Analytics
  • Robot-Assisted Surgery
  • Smart Cars
  • Telehealth
  • Virtual Nursing Assistance
  • Others

Artificial General Intelligence (AGI) Market By Company Size-

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Artificial General Intelligence (AGI) Market By End User-

  • Agriculture
  • Automotive
  • Banking, Financial Services and Insurance (BFSI)
  • Educational Institutes
  • Government and Defense
  • Healthcare
  • IT and Telecom
  • Manufacturing
  • Media and Entertainment
  • Retail and eCommerce
  • Transportation and Logistics
  • Others

Artificial General Intelligence (AGI) Market By Business Model-

  • B2B
  • B2C
  • B2B2C

Artificial General Intelligence (AGI) Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the Artificial General Intelligence (AGI) Market Size?

The Artificial General Intelligence (AGI) Market is expected to grow at a 31.3% CAGR during the forecast period for 2024-2031.

Ada Support, AIBrain, Albert Technologies, Alibaba, Amazon, Anki, Apple, Astute Solutions, Baidu, Brainasoft, Brighterion, Cambricon, Google, H2O.ai,

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