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市场调查报告书
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1500695

生成式人工智慧市场 - 全球规模、份额、趋势分析、机会、预测报告，2019-2030

Generative AI Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2030, Segmented By Offering; By Modality; By Application; By End Use; 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

价格
简介目录

全球生成人工智慧市场规模将以26.12%的复合年增长率扩大5.7倍，到2030年将超过983亿美元。

由于内容创作需求的不断增长、自动化程度的提高以及新兴和创新人工智慧应用程式的不断采用，全球生成人工智慧市场正在蓬勃发展。

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 年全球生成人工智慧市场规模将达到 173.7 亿美元。 BlueWeave 预测，在 2024 年至 2030 年的预测期内，全球生成型人工智慧市场规模将以 26.12% 的复合年增长率成长，到 2030 年将达到 983.1 亿美元。娱乐、游戏、广告和设计等不同产业对人工智慧生成内容的需求不断增长，推动了全球生成人工智慧市场的发展。在利用海量资料集和强大运算基础设施的深度学习演算法和神经网路进步的推动下，市场越来越多地采用生成式人工智慧技术。随着生成式人工智慧不断证明其价值，预计会出现新的应用程式和使用案例，利用越来越多的可用于学习目的的数位资料。特别是，像 OpenAI 的 BigGAN 和 DALL-E 这样的模型体现了生成模型产生高品质视觉效果的潜力，并被广泛应用于各种行业，包括娱乐、设计、广告和内容创作。

机会 - 与云端运算集成

生成式人工智慧和云端运算的整合代表了技术的重大进步，提供了增强的功能和创新的解决方案。这种协同效应使云端服务能够利用生成式人工智慧的力量来实现从资料分析到用户参与的各种应用。 Azure Synapse Analytics、Azure 数位双胞胎和 Azure Logic Apps 等范例示范了生成式 AI 如何透过自动化任务、创新资料处理和增强使用者体验来丰富云端服务。儘管有潜在的好处，但必须解决资料隐私和道德考量等挑战。也就是说，这种整合有望彻底改变云端运算，并为企业提供动态、个人化和高效的解决方案。随着生成式人工智慧技术的不断发展，它们与云端运算的整合将在塑造技术和商业的未来方面发挥关键作用。

地缘政治紧张局势加剧对全球生成人工智慧市场的影响

地缘政治紧张局势可能会对全球生成人工智慧市场产生多方面的影响。贸易争端、制裁和地缘政治衝突等不断上升的地缘政治风险扰乱了国际合作，阻碍了资料的自由流动，并阻碍了生成式人工智慧技术的开发和采用。此外，地缘政治不稳定造成法规环境和智慧财产权的不确定性，影响投资决策和市场动态。随着地缘政治紧张局势加剧，企业可能面临跨国合作和市场进入方面的挑战，限制全球生成人工智慧市场的成长前景，并有可能阻碍这一重要领域的创新。

全球生成人工智慧市场

按部门分类的信息

全球生成人工智慧市场——按最终用途

根据最终用途，全球生成式人工智慧市场分为媒体和娱乐、IT 和通讯、游戏、医疗保健、BFSI 以及汽车和运输领域。在以最终用途分類的全球生成式人工智慧市场中，媒体和娱乐产业占有最高份额。这主要是由于业界越来越多地采用人工智慧和机器学习技术来打击诈骗、保护资料并满足相关人员不断变化的需求。生成式人工智慧透过创建行销材料和资料来提高机器学习应用的效率和准确性，对银行业产生重大影响。此外，在商业银行中，生成式人工智慧有助于更快地完成后勤部门业务，例如复杂场景下回应客户财务状况的即时查询。同时，BFSI 领域预计将在预测期内呈现最快的成长速度。这是由于业界越来越多地采用人工智慧和机器学习技术来打击诈欺、保护资料并满足相关人员不断变化的要求。生成式人工智慧透过创建行销材料和资料来提高机器学习应用的效率和准确性，对银行业产生重大影响。此外，在商业业务领域，生成式人工智慧正在帮助更快地完成后勤部门业务，例如在复杂场景下回应客户财务状况的即时查询。

全球生成人工智慧市场－按地区划分

全球生成人工智慧市场的详细研究报告涵盖了北美、欧洲、亚太、拉丁美洲、中东和非洲五个地区的众多主要国家的市场。北美在全球生成人工智慧市场中占据最高份额，预计在预测期内将保持其主导地位。这是由先进的技术基础设施、强劲的研发努力以及顶级人工智慧公司的崛起所推动的。包括 IBM、Adobe 和 Microsoft 在内的北美领先科技公司正在大力投资先进的生成式 AI 功能，并部署这些工具和平台来执行影像处理、内容创建和设计自动化等任务。行业相关人员、研究机构和新兴企业之间的合作被认为对于促进北美市场扩张至关重要。

竞争格局

全球生成人工智慧市场的主要企业包括OpenAI、微软公司、AWS、Google有限责任公司、Cohere、AlphaSense、百度公司、Adobe公司、IBM公司、亚马逊网路服务公司、Synthesis AI、SAP SE、埃森哲，以及去识别有限公司。为了进一步增加市场占有率，这些公司正在采取各种策略，例如併购、合作、合资、授权合约和新产品发布。

该报告的详细分析提供了有关全球生成人工智慧市场的成长潜力、未来趋势和统计数据的资讯。它还涵盖了推动市场总规模预测的因素。该报告致力于提供全球生成人工智慧市场的最新技术趋势和业界考察，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

第三章 全球生成人工智慧市场洞察

  • 产业价值链分析
  • DROC分析
    • 生长促进因子
      • 内容创作需求不断成长
      • 增强自动化
      • 技术进步的进展
    • 抑制因素
      • 道德问题
      • 资料安全/隐私
    • 机会
      • 个性化和客製化
      • 与云端运算集成
    • 任务
      • 高计算成本
      • 概述可能性和透明度
  • 科技进步/最新趋势
  • 法律规范
  • 波特五力分析

第四章全球生成人工智慧市场：行销策略

第五章全球生成人工智慧市场：价格分析

第六章全球生成人工智慧市场：区域分析

  • 全球生成人工智慧市场，区域分析，2023 年
  • 全球生成人工智慧市场，市场吸引力分析，2024-2030

第七章 全球生成人工智慧市场概述

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
      • 软体
      • 服务
    • 按方式
      • 句子
      • 影像
      • 影片
      • 音讯语音
      • 程式码
    • 按用途
      • 内容管理
      • 搜寻/发现
    • 按最终用途
      • 媒体娱乐
      • 资讯科技/通讯
      • 游戏
      • 卫生保健
      • BFSI
      • 汽车/交通
      • 其他的
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲 (MEA)

第八章 北美生成式人工智慧市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
    • 按方式
    • 按用途
    • 按最终用途
    • 按国家/地区
      • 美国
      • 加拿大

第九章欧洲生成式人工智慧市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
    • 按方式
    • 按用途
    • 按最终用途
    • 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10章亚太生成人工智慧市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
    • 按方式
    • 按用途
    • 按最终用途
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳洲/纽西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他国家

第十一章拉丁美洲的生成式人工智慧市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
    • 按方式
    • 按用途
    • 按最终用途
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 其他拉丁美洲

第十二章 中东和非洲的生成式人工智慧市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 透过提供
    • 按方式
    • 按用途
    • 按最终用途
    • 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
      • 其他中东/非洲

第十三章竞争格局

  • 主要企业及其产品列表
  • 2023年全球生成AI公司市场占有率分析
  • 竞争基准化分析：透过管理参数
  • 重大策略发展（合併、收购、联盟等）

第十四章全球生成人工智慧市场：进出口

第十五章 地缘政治紧张局势加剧对全球生成人工智慧市场的影响

第十六章 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）

  • OpenAI
  • Microsoft Corporation
  • AWS
  • Google LLC
  • Cohere
  • AlphaSense
  • Baidu, Inc.
  • Adobe Inc.
  • IBM Corporation
  • Amazon Web Services, Inc
  • Synthesis AI
  • SAP SE
  • Accenture
  • De-Identification Ltd
  • 其他主要企业

第十七章 主要战略建议

第十八章调查方法

简介目录
Product Code: BWC24401

Global Generative AI Market Size Zooming 5.7X at Robust CAGR of 26.12% to Surpass Whopping USD 98.3 Billion by 2030

Global Generative AI Market is flourishing because of the rising demand for content creation, increasing automation, and growing adoption of emerging and innovative AI applications.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the Global Generative AI Market size at USD 17.37 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects the Global Generative AI Market size to expand at a CAGR of 26.12% reaching a value of USD 98.31 billion by 2030. The Global Generative AI Market is propelled by the increasing demand for AI-generated content across diverse industries, such as entertainment, gaming, advertising, and design. The market is witnessing rising adoption of generative AI technologies fueled by advancements in deep learning algorithms and neural networks, leveraging extensive datasets and powerful computing infrastructure. As generative AI continues to demonstrate its value, new applications and use cases are expected to emerge, exploiting the growing availability of digital data for training purposes. Notably, models like BigGAN and DALL-E from OpenAI exemplify the potential of generative models to produce high-quality visuals, contributing to their widespread adoption across various industries including entertainment, design, advertising, and content creation.

Opportunities - Integration with cloud computing

The integration of generative AI with cloud computing marks a significant advancement in technology, offering enhanced capabilities and innovative solutions. This synergy enables cloud services to leverage the power of generative AI for various applications, from data analysis to user engagement. Examples like Azure Synapse Analytics, Azure Digital Twins, and Azure Logic Apps showcase how generative AI enriches cloud services by automating tasks, innovating data handling, and enhancing user experiences. Despite the potential benefits, challenges such as data privacy and ethical considerations must be addressed. Nonetheless, this integration promises to revolutionize cloud computing, providing businesses with dynamic, personalized, and efficient solutions. As generative AI technology continues to evolve, its integration with cloud computing will play a pivotal role in shaping the future of technology and business operations.

Impact of Escalating Geopolitical Tensions on Global Generative AI Market

Geopolitical tensions can have a multifaceted impact on the Global Generative AI Market. Heightened geopolitical risks, such as trade disputes, sanctions, or geopolitical conflicts, disrupt international collaboration and impede the free flow of data, hindering the development and adoption of generative AI technologies. Moreover, geopolitical instability introduces uncertainties in regulatory environments and intellectual property rights, affecting investment decisions and market dynamics. As geopolitical tensions escalate, companies may face challenges in cross-border collaborations and market access, potentially limiting the growth prospects of the Global Generative AI Market and stalling innovation in this critical sector.

Global Generative AI Market

Segmental Information

Global Generative AI Market - By End Use

On the basis of end use, the Global Generative AI Market is divided into Media & Entertainment, IT & Telecommunication, Gaming, Healthcare, BFSI, and Automotive & Transportation segments. The media & entertainment segment holds the highest share in the Global Generative AI Market by end use. It is primarily due to the growing adoption of AI and ML technologies within the industry, aimed at combating fraud, safeguarding data, and addressing the evolving requirements of stakeholders. Generative AI has notably impacted the banking sector by producing marketing materials and data to enhance the efficiency and accuracy of ML applications. Furthermore, in commercial banking, generative AI facilitates quicker completion of back-office duties, including responding to real-time inquiries regarding a customer's financial status in intricate scenarios. Meanwhile, the BFSI segment is expected to witness the fastest growth rate during the forecast period. It can be attributed to the growing adoption of AI and ML technologies within the industry, aimed at combating fraud, safeguarding data, and addressing the evolving requirements of stakeholders. Generative AI has notably impacted the banking sector by producing marketing materials and data to enhance the efficiency and accuracy of ML applications. Furthermore, in commercial banking, generative AI facilitates quicker completion of back-office duties, including responding to real-time inquiries regarding a customer's financial status in intricate scenarios.

Global Generative AI Market - By Region

The in-depth research report on the Global Generative AI Market covers the market in a number of major countries across five regions: North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. North America holds the highest share in the Global Generative AI Market and is expected to maintain its dominance during the forecast period. It is propelled by its sophisticated technological infrastructure, robust research and development endeavors, and the prominence of top AI firms. Major technology giants in North America, including IBM, Adobe, and Microsoft, have heavily invested in advanced generative AI capabilities, deploying these tools and platforms for tasks like image manipulation, content creation, and design automation. Collaborations among industry stakeholders, research institutions, and startups is deemed crucial for fostering market expansion in North America.

Competitive Landscape

Major players operating in the Global Generative AI Market include OpenAI, Microsoft Corporation, AWS, Google LLC, Cohere, AlphaSense, Baidu, Inc., Adobe Inc., IBM Corporation, Amazon Web Services, Inc., Synthesis AI, SAP SE, Accenture, and De-Identification Ltd. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Generative AI Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Generative AI Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, 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 Generative AI Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Rising Demand for Content Creation
      • 3.2.1.2. Increased Automation
      • 3.2.1.3. Growing Technological Advancements
    • 3.2.2. Restraints
      • 3.2.2.1. Ethical Concerns
      • 3.2.2.2. Data Security & Privacy
    • 3.2.3. Opportunities
      • 3.2.3.1. Personalization & Customization
      • 3.2.3.2. Integration with Cloud Computing
    • 3.2.4. Challenges
      • 3.2.4.1. High Computational Cost
      • 3.2.4.2. Explainability & Transparency
  • 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 Generative AI Market: Marketing Strategies

5. Global Generative AI Market: Pricing Analysis

6. Global Generative AI Market: Geographical Analysis

  • 6.1. Global Generative AI Market, Geographical Analysis, 2023
  • 6.2. Global Generative AI Market, Market Attractiveness Analysis, 2024-2030

7. Global Generative AI Market Overview

  • 7.1. Market Size & Forecast, 2019-2030
    • 7.1.1. By Value (USD Billion)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offering
      • 7.2.1.1. Software
      • 7.2.1.2. Services
    • 7.2.2. By Modality
      • 7.2.2.1. Text
      • 7.2.2.2. Image
      • 7.2.2.3. Video
      • 7.2.2.4. Audio & Speech
      • 7.2.2.5. Code
    • 7.2.3. By Application
      • 7.2.3.1. Content Management
      • 7.2.3.2. Search & Discovery
    • 7.2.4. By End Use
      • 7.2.4.1. Media & Entertainment
      • 7.2.4.2. IT & Telecommunication
      • 7.2.4.3. Gaming
      • 7.2.4.4. Healthcare
      • 7.2.4.5. BFSI
      • 7.2.4.6. Automotive & Transportation
      • 7.2.4.7. Others
    • 7.2.5. By Region
      • 7.2.5.1. North America
      • 7.2.5.2. Europe
      • 7.2.5.3. Asia Pacific (APAC)
      • 7.2.5.4. Latin America (LATAM)
      • 7.2.5.5. Middle East and Africa (MEA)

8. North America Generative AI Market

  • 8.1. Market Size & Forecast, 2019-2030
    • 8.1.1. By Value (USD Billion)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offering
    • 8.2.2. By Modality
    • 8.2.3. By Application
    • 8.2.4. By End Use
    • 8.2.5. By Country
      • 8.2.5.1. United States
      • 8.2.5.1.1. By Offering
      • 8.2.5.1.2. By Modality
      • 8.2.5.1.3. By Application
      • 8.2.5.1.4. By End Use
      • 8.2.5.2. Canada
      • 8.2.5.2.1. By Offering
      • 8.2.5.2.2. By Modality
      • 8.2.5.2.3. By Application
      • 8.2.5.2.4. By End Use

9. Europe Generative AI Market

  • 9.1. Market Size & Forecast, 2019-2030
    • 9.1.1. By Value (USD Billion)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offering
    • 9.2.2. By Modality
    • 9.2.3. By Application
    • 9.2.4. By End Use
    • 9.2.5. By Country
      • 9.2.5.1. Germany
      • 9.2.5.1.1. By Offering
      • 9.2.5.1.2. By Modality
      • 9.2.5.1.3. By Application
      • 9.2.5.1.4. By End Use
      • 9.2.5.2. United Kingdom
      • 9.2.5.2.1. By Offering
      • 9.2.5.2.2. By Modality
      • 9.2.5.2.3. By Application
      • 9.2.5.2.4. By End Use
      • 9.2.5.3. Italy
      • 9.2.5.3.1. By Offering
      • 9.2.5.3.2. By Modality
      • 9.2.5.3.3. By Application
      • 9.2.5.3.4. By End Use
      • 9.2.5.4. France
      • 9.2.5.4.1. By Offering
      • 9.2.5.4.2. By Modality
      • 9.2.5.4.3. By Application
      • 9.2.5.4.4. By End Use
      • 9.2.5.5. Spain
      • 9.2.5.5.1. By Offering
      • 9.2.5.5.2. By Modality
      • 9.2.5.5.3. By Application
      • 9.2.5.5.4. By End Use
      • 9.2.5.6. Belgium
      • 9.2.5.6.1. By Offering
      • 9.2.5.6.2. By Modality
      • 9.2.5.6.3. By Application
      • 9.2.5.6.4. By End Use
      • 9.2.5.7. Russia
      • 9.2.5.7.1. By Offering
      • 9.2.5.7.2. By Modality
      • 9.2.5.7.3. By Application
      • 9.2.5.7.4. By End Use
      • 9.2.5.8. The Netherlands
      • 9.2.5.8.1. By Offering
      • 9.2.5.8.2. By Modality
      • 9.2.5.8.3. By Application
      • 9.2.5.8.4. By End Use
      • 9.2.5.9. Rest of Europe
      • 9.2.5.9.1. By Offering
      • 9.2.5.9.2. By Modality
      • 9.2.5.9.3. By Application
      • 9.2.5.9.4. By End Use

10. Asia Pacific Generative AI Market

  • 10.1. Market Size & Forecast, 2019-2030
    • 10.1.1. By Value (USD Billion)
  • 10.2. Market Share & Forecast
    • 10.2.1. By Offering
    • 10.2.2. By Modality
    • 10.2.3. By Application
    • 10.2.4. By End Use
    • 10.2.5. By Country
      • 10.2.5.1. China
      • 10.2.5.1.1. By Offering
      • 10.2.5.1.2. By Modality
      • 10.2.5.1.3. By Application
      • 10.2.5.1.4. By End Use
      • 10.2.5.2. India
      • 10.2.5.2.1. By Offering
      • 10.2.5.2.2. By Modality
      • 10.2.5.2.3. By Application
      • 10.2.5.2.4. By End Use
      • 10.2.5.3. Japan
      • 10.2.5.3.1. By Offering
      • 10.2.5.3.2. By Modality
      • 10.2.5.3.3. By Application
      • 10.2.5.3.4. By End Use
      • 10.2.5.4. South Korea
      • 10.2.5.4.1. By Offering
      • 10.2.5.4.2. By Modality
      • 10.2.5.4.3. By Application
      • 10.2.5.4.4. By End Use
      • 10.2.5.5. Australia & New Zealand
      • 10.2.5.5.1. By Offering
      • 10.2.5.5.2. By Modality
      • 10.2.5.5.3. By Application
      • 10.2.5.5.4. By End Use
      • 10.2.5.6. Indonesia
      • 10.2.5.6.1. By Offering
      • 10.2.5.6.2. By Modality
      • 10.2.5.6.3. By Application
      • 10.2.5.6.4. By End Use
      • 10.2.5.7. Malaysia
      • 10.2.5.7.1. By Offering
      • 10.2.5.7.2. By Modality
      • 10.2.5.7.3. By Application
      • 10.2.5.7.4. By End Use
      • 10.2.5.8. Singapore
      • 10.2.5.8.1. By Offering
      • 10.2.5.8.2. By Modality
      • 10.2.5.8.3. By Application
      • 10.2.5.8.4. By End Use
      • 10.2.5.9. Vietnam
      • 10.2.5.9.1. By Offering
      • 10.2.5.9.2. By Modality
      • 10.2.5.9.3. By Application
      • 10.2.5.9.4. By End Use
      • 10.2.5.10. Rest of APAC
      • 10.2.5.10.1. By Offering
      • 10.2.5.10.2. By Modality
      • 10.2.5.10.3. By Application
      • 10.2.5.10.4. By End Use

11. Latin America Generative AI Market

  • 11.1. Market Size & Forecast, 2019-2030
    • 11.1.1. By Value (USD Billion)
  • 11.2. Market Share & Forecast
    • 11.2.1. By Offering
    • 11.2.2. By Modality
    • 11.2.3. By Application
    • 11.2.4. By End Use
    • 11.2.5. By Country
      • 11.2.5.1. Brazil
      • 11.2.5.1.1. By Offering
      • 11.2.5.1.2. By Modality
      • 11.2.5.1.3. By Application
      • 11.2.5.1.4. By End Use
      • 11.2.5.2. Mexico
      • 11.2.5.2.1. By Offering
      • 11.2.5.2.2. By Modality
      • 11.2.5.2.3. By Application
      • 11.2.5.2.4. By End Use
      • 11.2.5.3. Argentina
      • 11.2.5.3.1. By Offering
      • 11.2.5.3.2. By Modality
      • 11.2.5.3.3. By Application
      • 11.2.5.3.4. By End Use
      • 11.2.5.4. Peru
      • 11.2.5.4.1. By Offering
      • 11.2.5.4.2. By Modality
      • 11.2.5.4.3. By Application
      • 11.2.5.4.4. By End Use
      • 11.2.5.5. Rest of LATAM
      • 11.2.5.5.1. By Offering
      • 11.2.5.5.2. By Modality
      • 11.2.5.5.3. By Application
      • 11.2.5.5.4. By End Use

12. Middle East & Africa Generative AI Market

  • 12.1. Market Size & Forecast, 2019-2030
    • 12.1.1. By Value (USD Billion)
  • 12.2. Market Share & Forecast
    • 12.2.1. By Offering
    • 12.2.2. By Modality
    • 12.2.3. By Application
    • 12.2.4. By End Use
    • 12.2.5. By Country
      • 12.2.5.1. Saudi Arabia
      • 12.2.5.1.1. By Offering
      • 12.2.5.1.2. By Modality
      • 12.2.5.1.3. By Application
      • 12.2.5.1.4. By End Use
      • 12.2.5.2. UAE
      • 12.2.5.2.1. By Offering
      • 12.2.5.2.2. By Modality
      • 12.2.5.2.3. By Application
      • 12.2.5.2.4. By End Use
      • 12.2.5.3. Qatar
      • 12.2.5.3.1. By Offering
      • 12.2.5.3.2. By Modality
      • 12.2.5.3.3. By Application
      • 12.2.5.3.4. By End Use
      • 12.2.5.4. Kuwait
      • 12.2.5.4.1. By Offering
      • 12.2.5.4.2. By Modality
      • 12.2.5.4.3. By Application
      • 12.2.5.4.4. By End Use
      • 12.2.5.5. South Africa
      • 12.2.5.5.1. By Offering
      • 12.2.5.5.2. By Modality
      • 12.2.5.5.3. By Application
      • 12.2.5.5.4. By End Use
      • 12.2.5.6. Nigeria
      • 12.2.5.6.1. By Offering
      • 12.2.5.6.2. By Modality
      • 12.2.5.6.3. By Application
      • 12.2.5.6.4. By End Use
      • 12.2.5.7. Algeria
      • 12.2.5.7.1. By Offering
      • 12.2.5.7.2. By Modality
      • 12.2.5.7.3. By Application
      • 12.2.5.7.4. By End Use
      • 12.2.5.8. Rest of MEA
      • 12.2.5.8.1. By Offering
      • 12.2.5.8.2. By Modality
      • 12.2.5.8.3. By Application
      • 12.2.5.8.4. By End Use

13. Competitive Landscape

  • 13.1. List of Key Players and Their Products
  • 13.2. Global Generative AI Company Market Share Analysis, 2023
  • 13.3. Competitive Benchmarking, By Operating Parameters
  • 13.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

14. Global Generative AI Market: import & Export

15. Impact of Escalating Geopolitical Tensions on Global Generative AI Market

16. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)

  • 16.1. OpenAI
  • 16.2. Microsoft Corporation
  • 16.3. AWS
  • 16.4. Google LLC
  • 16.5. Cohere
  • 16.6. AlphaSense
  • 16.7. Baidu, Inc.
  • 16.8. Adobe Inc.
  • 16.9. IBM Corporation
  • 16.10. Amazon Web Services, Inc
  • 16.11. Synthesis AI
  • 16.12. SAP SE
  • 16.13. Accenture
  • 16.14. De-Identification Ltd
  • 16.15. Other Prominent Players

17. Key Strategic Recommendations

18. Research Methodology

  • 18.1. Qualitative Research
    • 18.1.1. Primary & Secondary Research
  • 18.2. Quantitative Research
  • 18.3. Market Breakdown & Data Triangulation
    • 18.3.1. Secondary Research
    • 18.3.2. Primary Research
  • 18.4. Breakdown of Primary Research Respondents, By Region
  • 18.5. 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