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市场调查报告书
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人工智慧 (AGI) 市场：按部署、按技术、按功能、按最终用户行业、按地区

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个工作天内

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简介目录

全球人工智慧（AGI）市场将以14.53%的复合年增长率扩大9倍，2030年达到286.6亿美元的庞大规模

由于机器学习和神经网路的进步、各行业对自动化的需求不断增加以及 AGI 变革性应用的潜力，全球人工智慧 (AGI) 市场正在快速成长。

领先的策略咨询和市场研究公司 BlueWeave Consulting 在最近的一项研究中估计，2023 年全球人工智慧 (AGI) 市场规模将以金额为准31.8 亿美元。 BlueWeave预测，在2024-2030年的预测期内，全球人工智慧（AGI）市场规模将以14.53%的复合年增长率成长，到2030年将达到286.6亿美元。人工智慧 (AGI) 是一个快速发展的研究领域，旨在创造能够独立推理、学习和决策的机器。据称，AGI 具有彻底改变电脑辅助设计 (CAD)、自动翻译和资料驱动机器学习等行业的潜力。由于对先进自动化和智慧型系统的需求，对 AGI 的需求不断增加。各大公司都在研发上投入巨资，人工智慧在企业中的普及正在推动市场成长。自然语言处理和电脑视觉等认知服务预计将推动 AGI 市场的成长。

机会－AGI变革各产业的巨大潜力

人工智慧 (AGI) 的出现有望透过实现超越人类能力的高阶自动化、决策和解决问题的能力来改变许多领域。 AGI 分析庞大资料集、预测结果和适应动态环境的能力有可能彻底改变医疗保健、金融、製造和运输等产业。在医疗保健领域，AGI 有潜力增强诊断和个人化治疗。在金融领域，优化交易策略和风险管理是可能的。在製造业中，AGI 具有简化业务和提高效率的潜力。 AGI 的跨部门创新能力使其成为推动未来工业发展和经济成长的重要技术。

地缘政治紧张局势加剧对全球人工智慧（AGI）市场的影响

地缘政治紧张局势的加剧可能会对全球人工智慧（AGI）市场产生重大影响。不稳定因素的增加可能会扰乱对 AGI 研究和开发专案至关重要的国际合作，从而导致资金筹措不确定性和监管挑战。在政治敏感地区营运的公司面临业务中断和网路安全威胁加剧，可能会影响资料安全和技术部署。此外，地缘政治衝突可能会重塑全球贸易格局，影响供应链以及关键通用人工智慧组件和专业知识的获取。整体而言，地缘政治紧张局势造成的不确定性为全球 AGI 市场的创新、投资和成长带来风险。

全球人工智慧（AGI）市场

全球人工智慧 (AGI) 市场 – 按最终用途产业

全球人工智慧（AGI）市场按最终用途产业细分为医疗保健、教育、製造、金融服务、零售、汽车和研发领域。医疗保健是全球人工智慧 (AGI) 市场中最大的最终用途行业领域，主要由医疗诊断、个人化治疗计划和患者照护优化等应用推动。医疗保健产业从 AGI 的资料分析、模式识别和决策支援能力中受益匪浅。教育部门也正在效仿，利用 AGI 来实现个人化的学习体验和管理业务。製造、金融服务、零售、汽车和研发最终用途领域也采用 AGI 进行流程优化、客户洞察、自动化和创新，为市场成长和技术进步做出贡献。

竞争格局

全球人工智慧（AGI）市场竞争激烈，许多企业竞相扩大市场占有率。市场主要企业包括 Google LLC、IBM、微软、Open.AI、SAP、英特尔、亚马逊、Salesforce、Brightion、Megvii Technology、Albert Technologies、H2O.ai、Meta、Brainasoft、Wipro、AIBrain、Apple 等。这些公司正在采取各种倡议，例如增加研发活动投资、併购、合资、联盟、许可协议以及发布新产品和服务，以进一步巩固其在全球人工智慧（AGI）市场的地位。

该报告的详细分析提供了有关全球人工智慧（AGI）市场的成长潜力、未来趋势和统计数据的资讯。我们也研究了推动市场总规模预测的因素。本报告致力于提供全球人工智慧（AGI）市场的最新技术趋势和产业见解，帮助决策者做出明智的策略决策。此外，我们也分析了市场的成长动力、挑战和竞争力。

目录

第一章 研究框架

第 2 章执行摘要

第 3 章全球人工智慧 (AGI) 市场洞察

  • 产业价值链分析
  • DROC分析
    • 生长促进因子
      • 对自动化的需求增加
      • 扩大AGI研究的投资并取得进展
      • 透过 AGI 提高人类能力
    • 抑制因素
      • AGI开发中的技术问题
      • AGI 实施的道德问题
      • 围绕 AGI 的监管不确定性
    • 机会
      • 彻底改变各产业的潜力。
      • 能够提供高度个人化的解决方案。
    • 任务
      • 确保 AGI 系统中的偏见和公平
      • 对未来工作和就业市场的影响
  • 科技进步/最新趋势
  • 法律规范
  • 波特五力分析

第四章全球人工智慧（AGI）市场：行销策略

第五章全球人工智慧（AGI）市场概况

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
      • 本地
      • 云端基础
      • 混合
    • 依技术
      • 符号人工智慧
      • 连结主义 AI（人工神经网路）
      • 人工意识
      • 全脑模拟
      • 具身人工智慧与认知
    • 按功能分类
      • 知觉系统
      • 决策
      • 学习和适应
      • 解决问题
      • 创造力和创造力
      • 社交和情感参与
    • 按最终用户产业
      • 卫生保健
      • 教育
      • 製造业
      • 金融服务
      • 零售
      • 车
      • 研究与开发
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲（中东/非洲）

第六章 北美人工智慧（AGI）市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
    • 依技术
    • 按功能分类
    • 按最终用户产业
    • 按国家/地区
      • 美国
      • 加拿大

第七章欧洲人工智慧（AGI）市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
    • 依技术
    • 按功能分类
    • 按最终用户产业
    • 按国家/地区
      • 德国
      • 英国
      • 义大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第八章亚太地区人工智慧（AGI）市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
    • 依技术
    • 按功能分类
    • 按最终用户产业
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳洲和纽西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他国家

第九章 拉丁美洲人工智慧（AGI）市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
    • 依技术
    • 按功能分类
    • 按最终用户产业
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 其他拉丁美洲

第十章 中东和非洲人工智慧（AGI）市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按发展
    • 依技术
    • 按功能分类
    • 按最终用户产业
    • 按国家/地区
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 科威特
      • 南非
      • 奈及利亚
      • 阿尔及利亚
      • 中东和非洲其他地区

第十一章竞争格局

  • 主要企业及其产品列表
  • 2023年全球人工智慧（AGI）市场占有率分析
  • 透过管理参数进行竞争基准化分析
  • 重大策略发展（合併、收购、联盟等）

第十二章 地缘政治紧张局势加剧对全球人工智慧（AGI）市场的影响

第十三章 公司简介（公司简介、财务矩阵、竞争格局、关键人员、主要竞争对手、联络方式、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
  • 其他主要企业

第十四章 主要策略建议

第十五章调查方法

简介目录
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