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市場調查報告書
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1500695

生成式人工智慧市場 - 全球規模、佔有率、趨勢分析、機會、預測報告，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個工作天內

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簡介目錄

全球生成人工智慧市場規模將以26.12%的複合年成長率擴大5.7倍，到2030年將超過983億美元。

由於內容創作需求的不斷成長、自動化程度的提高以及新興和創新人工智慧應用程式的不斷採用，全球生成人工智慧市場正在蓬勃發展。

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 年全球生成人工智慧市場規模將達到 173.7 億美元。 BlueWeave 預測，在 2024 年至 2030 年的預測期內，全球生成型人工智慧市場規模將以 26.12% 的複合年成長率成長，到 2030 年將達到 983.1 億美元。娛樂、遊戲、廣告和設計等不同產業對人工智慧生成內容的需求不斷成長，推動了全球生成人工智慧市場的發展。在利用海量資料集和強大運算基礎設施的深度學習演算法和神經網路進步的推動下，市場擴大採用生成式人工智慧技術。隨著生成式人工智慧不斷證明其價值，預計會出現新的應用程式和使用案例，利用越來越多的可用於學習目的的數位資料。特別是，像 OpenAI 的 BigGAN 和 DALL-E 這樣的模型體現了生成模型產生高品質視覺效果的潛力，並被廣泛應用於各種行業，包括娛樂、設計、廣告和內容創作。

機會 - 與雲端運算整合

生成式人工智慧和雲端運算的整合代表了技術的重大進步，提供了增強的功能和創新的解決方案。這種協同效應使雲端服務能夠利用生成式人工智慧的力量來實現從資料分析到用戶參與的各種應用。 Azure Synapse Analytics、Azure 數位雙胞胎和 Azure Logic Apps 等範例示範了生成式 AI 如何透過自動化任務、創新資料處理和增強使用者體驗來豐富雲端服務。儘管有潛在的好處，但必須解決資料隱私和道德考量等挑戰。也就是說，這種整合有望徹底改變雲端運算，並為企業提供動態、個人化和高效的解決方案。隨著生成式人工智慧技術的不斷發展，它們與雲端運算的整合將在塑造技術和商業的未來方面發揮關鍵作用。

地緣政治緊張局勢加劇對全球生成人工智慧市場的影響

地緣政治緊張局勢可能會對全球生成人工智慧市場產生多方面的影響。貿易爭端、制裁和地緣政治衝突等不斷上升的地緣政治風險擾亂了國際合作，阻礙了資料的自由流動，並阻礙了生成式人工智慧技術的開發和採用。此外，地緣政治不穩定造成法規環境和智慧財產權的不確定性，影響投資決策和市場動態。隨著地緣政治緊張局勢加劇，企業可能面臨跨國合作和市場進入方面的挑戰，限制全球生成人工智慧市場的成長前景，並有可能阻礙這一重要領域的創新。

全球生成人工智慧市場

按部門分類的資訊

全球生成人工智慧市場——按最終用途

根據最終用途，全球生成式人工智慧市場分為媒體和娛樂、IT 和通訊、遊戲、醫療保健、BFSI 以及汽車和運輸領域。在以最終用途分類的全球生成式人工智慧市場中，媒體和娛樂產業佔有最高佔有率。這主要是由於業界擴大採用人工智慧和機器學習技術來打擊詐騙、保護資料並滿足相關人員不斷變化的需求。生成式人工智慧透過創建行銷材料和資料來提高機器學習應用的效率和準確性，對銀行業產生重大影響。此外，在商業銀行中，生成式人工智慧有助於更快地完成後勤部門業務，例如複雜場景下回應客戶財務狀況的即時查詢。同時，BFSI 領域預計將在預測期內呈現最快的成長速度。這是由於業界擴大採用人工智慧和機器學習技術來打擊詐欺、保護資料並滿足相關人員不斷變化的要求。生成式人工智慧透過創建行銷材料和資料來提高機器學習應用的效率和準確性，對銀行業產生重大影響。此外，在商業業務領域，生成式人工智慧正在幫助更快地完成後勤部門業務，例如在複雜場景下回應客戶財務狀況的即時查詢。

全球生成人工智慧市場－按地區分類

全球生成人工智慧市場的詳細研究報告涵蓋了北美、歐洲、亞太、拉丁美洲、中東和非洲五個地區的眾多主要國家的市場。北美在全球生成人工智慧市場中佔據最高佔有率，預計在預測期內將保持其主導地位。這是由先進的技術基礎設施、強勁的研發努力以及頂級人工智慧公司的崛起所推動的。包括 IBM、Adobe 和 Microsoft 在內的北美領先科技公司正在大力投資先進的生成式 AI 功能，並部署這些工具和平台來執行影像處理、內容創建和設計自動化等任務。行業相關人員、研究機構和新興企業之間的合作被認為對於促進北美市場擴張至關重要。

競爭格局

全球生成人工智慧市場的主要企業包括OpenAI、微軟公司、AWS、Google有限責任公司、Cohere、AlphaSense、百度公司、Adobe公司、IBM公司、亞馬遜網路服務公司、Synthesis AI、SAP SE、埃森哲，以及去識別有限公司。為了進一步增加市場佔有率，這些公司正在採取各種策略，例如併購、合作、合資、授權合約和新產品發布。

該報告的詳細分析提供了有關全球生成人工智慧市場的成長潛力、未來趨勢和統計數據的資訊。它還涵蓋了推動市場總規模預測的因素。該報告致力於提供全球生成人工智慧市場的最新技術趨勢和業界考察，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 全球生成人工智慧市場洞察

  • 產業價值鏈分析
  • DROC分析
    • 生長促進因子
      • 內容創作需求不斷成長
      • 增強自動化
      • 技術進步的進展
    • 抑制因素
      • 道德問題
      • 資料安全/隱私
    • 機會
      • 個性化和客製化
      • 與雲端運算整合
    • 任務
      • 高計算成本
      • 概述可能性和透明度
  • 科技進步/最新趨勢
  • 法律規範
  • 波特五力分析

第4章全球生成人工智慧市場：行銷策略

第5章全球生成人工智慧市場：價格分析

第6章全球生成人工智慧市場：區域分析

  • 全球生成人工智慧市場，區域分析，2023 年
  • 全球生成人工智慧市場，市場吸引力分析，2024-2030

第7章 全球生成人工智慧市場概述

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
      • 軟體
      • 服務
    • 按方式
      • 句子
      • 影像
      • 影片
      • 音訊語音
      • 程式碼
    • 按用途
      • 內容管理
      • 搜尋/發現
    • 按最終用途
      • 媒體娛樂
      • 資訊科技/通訊
      • 遊戲
      • 衛生保健
      • BFSI
      • 汽車/交通
      • 其他
    • 按地區
      • 北美洲
      • 歐洲
      • 亞太地區 (APAC)
      • 拉丁美洲 (LATAM)
      • 中東和非洲 (MEA)

第8章 北美生成式人工智慧市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
    • 按方式
    • 按用途
    • 按最終用途
    • 按國家/地區
      • 美國
      • 加拿大

第9章歐洲生成式人工智慧市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
    • 按方式
    • 按用途
    • 按最終用途
    • 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10章亞太生成人工智慧市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
    • 按方式
    • 按用途
    • 按最終用途
    • 按國家/地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲/紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 亞太地區其他國家

第11章拉丁美洲的生成式人工智慧市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
    • 按方式
    • 按用途
    • 按最終用途
    • 按國家/地區
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 其他拉丁美洲

第12章 中東和非洲的生成式人工智慧市場

  • 2019-2030年市場規模及預測
    • 按金額
  • 市場佔有率及預測
    • 透過提供
    • 按方式
    • 按用途
    • 按最終用途
    • 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
      • 其他中東/非洲

第13章競爭格局

  • 主要企業及其產品列表
  • 2023年全球生成AI公司市場佔有率分析
  • 競爭基準化分析：透過管理參數
  • 重大策略發展（合併、收購、聯盟等）

第14章全球生成人工智慧市場：進出口

第15章 地緣政治緊張局勢加劇對全球生成人工智慧市場的影響

第16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）

  • 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
  • 其他主要企業

第17章 主要戰略建議

第18章調查方法

簡介目錄
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