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人工智慧 (AGI) 市場：按部署、按技術、按功能、按最終用戶行業、按地區

Artificial General Intelligence Market, By Deployment; By Technology; By Functionality; By End User Industry; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球人工智慧（AGI）市場將以14.53%的複合年成長率擴大9倍，2030年達到286.6億美元的龐大規模

由於機器學習和神經網路的進步、各行業對自動化的需求不斷增加以及 AGI 變革性應用的潛力，全球人工智慧 (AGI) 市場正在快速成長。

領先的策略諮詢和市場研究公司 BlueWeave Consulting 在最近的一項研究中估計，2023 年全球人工智慧 (AGI) 市場規模將以金額為準31.8 億美元。 BlueWeave預測，在2024-2030年的預測期內，全球人工智慧（AGI）市場規模將以14.53%的複合年成長率成長，到2030年將達到286.6億美元。人工智慧 (AGI) 是一個快速發展的研究領域，旨在創造能夠獨立推理、學習和決策的機器。據稱，AGI 具有徹底改變電腦輔助設計 (CAD)、自動翻譯和資料驅動機器學習等行業的潛力。由於對先進自動化和智慧型系統的需求，對 AGI 的需求不斷增加。各大公司都在研發上投入巨資，人工智慧在企業中的普及正在推動市場成長。自然語言處理和電腦視覺等認知服務預計將推動 AGI 市場的成長。

機會－AGI變革各產業的巨大潛力

人工智慧 (AGI) 的出現有望透過實現超越人類能力的高階自動化、決策和解決問題的能力來改變許多領域。 AGI 分析龐大資料集、預測結果和適應動態環境的能力有可能徹底改變醫療保健、金融、製造和運輸等產業。在醫療保健領域，AGI 有潛力增強診斷和個人化治療。在金融領域，最佳化交易策略和風險管理是可能的。在製造業中，AGI 具有簡化業務和提高效率的潛力。 AGI 的跨部門創新能力使其成為推動未來工業發展和經濟成長的重要技術。

地緣政治緊張局勢加劇對全球人工智慧（AGI）市場的影響

地緣政治緊張局勢的加劇可能會對全球人工智慧（AGI）市場產生重大影響。不穩定因素的增加可能會擾亂對 AGI 研究和開發專案至關重要的國際合作，從而導致資金籌措不確定性和監管挑戰。在政治敏感地區營運的公司面臨業務中斷和網路安全威脅加劇，可能會影響資料安全和技術部署。此外，地緣政治衝突可能會重塑全球貿易格局，影響供應鏈以及關鍵通用人工智慧組件和專業知識的獲取。整體而言，地緣政治緊張局勢造成的不確定性為全球 AGI 市場的創新、投資和成長帶來風險。

全球人工智慧（AGI）市場

全球人工智慧 (AGI) 市場 – 按最終用途產業

全球人工智慧（AGI）市場按最終用途產業細分為醫療保健、教育、製造、金融服務、零售、汽車和研發領域。醫療保健是全球人工智慧 (AGI) 市場中最大的最終用途行業領域，主要由醫療診斷、個人化治療計劃和患者照護最佳化等應用推動。醫療保健產業從 AGI 的資料分析、模式識別和決策支援能力中受益匪淺。教育部門也正在效仿，利用 AGI 來實現個人化的學習體驗和管理業務。製造、金融服務、零售、汽車和研發最終用途領域也採用 AGI 進行流程最佳化、客戶洞察、自動化和創新，為市場成長和技術進步做出貢獻。

競爭格局

全球人工智慧（AGI）市場競爭激烈，許多企業競相擴大市場佔有率。市場主要企業包括 Google LLC、IBM、微軟、Open.AI、SAP、英特爾、亞馬遜、Salesforce、Brightion、Megvii Technology、Albert Technologies、H2O.ai、Meta、Brainasoft、Wipro、AIBrain、Apple 等。這些公司正在採取各種舉措，例如增加研發活動投資、併購、合資、聯盟、許可協議以及發布新產品和服務，以進一步鞏固其在全球人工智慧（AGI）市場的地位。

該報告的詳細分析提供了有關全球人工智慧（AGI）市場的成長潛力、未來趨勢和統計數據的資訊。我們也研究了推動市場總規模預測的因素。本報告致力於提供全球人工智慧（AGI）市場的最新技術趨勢和產業見解，幫助決策者做出明智的策略決策。此外，我們也分析了市場的成長動力、挑戰和競爭力。

目錄

第1章 研究框架

第 2 章執行摘要

第 3 章全球人工智慧 (AGI) 市場洞察

  • 產業價值鏈分析
  • DROC分析
    • 生長促進因子
      • 對自動化的需求增加
      • 擴大AGI研究的投資並取得進展
      • 透過 AGI 提高人類能力
    • 抑制因素
      • AGI開發中的技術問題
      • AGI 實施的道德問題
      • 圍繞 AGI 的監管不確定性
    • 機會
      • 徹底改變各產業的潛力。
      • 能夠提供高度個人化的解決方案。
    • 任務
      • 確保 AGI 系統中的偏見和公平
      • 對未來工作和就業市場的影響
  • 科技進步/最新趨勢
  • 法律規範
  • 波特五力分析

第4章全球人工智慧（AGI）市場：行銷策略

第5章全球人工智慧（AGI）市場概況

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
      • 本地
      • 雲端基礎
      • 混合
    • 依技術
      • 符號人工智慧
      • 連結主義 AI（人工神經網路）
      • 人工意識
      • 全腦模擬
      • 具身人工智慧與認知
    • 按功能分類
      • 知覺系統
      • 決策
      • 學習和適應
      • 解決問題
      • 創造力和創造力
      • 社交和情感參與
    • 按最終用戶產業
      • 衛生保健
      • 教育
      • 製造業
      • 金融服務
      • 零售
      • 車
      • 研究與開發
    • 按地區
      • 北美洲
      • 歐洲
      • 亞太地區 (APAC)
      • 拉丁美洲 (LATAM)
      • 中東和非洲（中東/非洲）

第6章 北美人工智慧（AGI）市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
    • 依技術
    • 按功能分類
    • 按最終用戶產業
    • 按國家/地區
      • 美國
      • 加拿大

第7章歐洲人工智慧（AGI）市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
    • 依技術
    • 按功能分類
    • 按最終用戶產業
    • 按國家/地區
      • 德國
      • 英國
      • 義大利
      • 法國
      • 西班牙
      • 比利時
      • 俄羅斯
      • 荷蘭
      • 其他歐洲國家

第8章亞太地區人工智慧（AGI）市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
    • 依技術
    • 按功能分類
    • 按最終用戶產業
    • 按國家/地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲和紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 亞太地區其他國家

第9章 拉丁美洲人工智慧（AGI）市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
    • 依技術
    • 按功能分類
    • 按最終用戶產業
    • 按國家/地區
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 其他拉丁美洲

第10章 中東和非洲人工智慧（AGI）市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 按發展
    • 依技術
    • 按功能分類
    • 按最終用戶產業
    • 按國家/地區
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 科威特
      • 南非
      • 奈及利亞
      • 阿爾及利亞
      • 中東和非洲其他地區

第11章競爭格局

  • 主要企業及其產品列表
  • 2023年全球人工智慧（AGI）市場佔有率分析
  • 透過管理參數進行競爭基準化分析
  • 重大策略發展（合併、收購、聯盟等）

第12章 地緣政治緊張局勢加劇對全球人工智慧（AGI）市場的影響

第13章 公司簡介（公司簡介、財務矩陣、競爭格局、關鍵人員、主要競爭對手、聯絡方式、策略展望、SWOT分析）

  • Google
  • IBM
  • Microsoft
  • Open.AI
  • SAP
  • Intel
  • Amazon
  • Salesforce
  • Brighterion
  • Megvii Technology
  • Albert Technologies
  • H2O.ai
  • Meta
  • Brainasoft
  • Wipro
  • AIBrain
  • Apple
  • 其他主要企業

第14章 主要策略建議

第15章調查方法

簡介目錄
Product Code: BWC24509

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
  • 3.3. 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)

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