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全球生成人工智能市場（2016-2030）：按組件、技術、最終用戶和地區劃分的機遇和預測
市場調查報告書
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1336076

全球生成人工智能市場（2016-2030）：按組件、技術、最終用戶和地區劃分的機遇和預測

Global Generative Artificial Intelligence (AI) Market Assessment, By Component, By Technology, By End-user, By Region, Opportunities and Forecast, 2016-2030F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 295 Pages | 商品交期: 3-5個工作天內

價格

全球生成式人工智能市場規模預計將從 2022 年的 69.3 億美元增長到 2030 年的 728 億美元，預測期內復合年增長率為 35.95%。

生成式人工智能具有多種優勢，包括提高對抽象概念的理解、高效生產高質量材料以及增強身份保護。因此，生成式人工智能廣泛應用於 IT、機器人、娛樂、營銷、醫療保健、教育和 BFSI（銀行、金融服務和保險）等各個領域。大型數據集的可用性、深度學習需求的增加以及物聯網的擴展正在推動市場擴張。

人工智能與自動駕駛汽車的集成也推動了市場的增長。營銷人員也越來越多地使用人工智能策略與潛在客戶進行溝通，特別是在數據收集和消息定位領域。大約 68% 的 B2B 營銷人員已採用自動化作為其營銷策略的一部分。

各國政府正在通過各種舉措積極支持生成人工智能市場。努力包括提供財政支持和贈款、建立研究和創新中心、制定政策、促進人才發展和教育、促進與行業的合作和夥伴關係以及投資人工智能基礎設施。

醫療保健行業也是推動生成式人工智能市場的行業之一。生成式 AI 預計將支持或提高 40% 的醫療保健相關工作時間。醫學成像使用生成式人工智能來增強疾病診斷。通過檢查大量的醫用 X 射線膠片數據集，這些系統學會識別人類醫生難以發現的模式和異常現象。此外，生成式人工智能可以與 3D 打印和 CRISPR 等技術結合使用，幫助從頭開始構建生物分子和假肢等東西。此外，它還可以實現更早的癌症診斷和更有效的治療方案。

本報告調查了全球生成人工智能市場，提供產品概述、市場規模趨勢和預測、各個細分市場和地區的詳細分析、行業結構、市場影響因素和市場機會分析、案例研究和競爭對手。我們總結了現狀，主要公司簡介等

目錄

第一章研究方法論

第二章 項目範圍和定義

第 3 章 COVID-19 的影響

第 4 章執行摘要

第五章 客戶評價

  • 人口統計
  • 關於生成人工智能的知識
  • 消費者認知和前景
  • 生成式人工智能的普及
  • 生成式人工智能的用途
  • 實施生成式人工智能時考慮的因素
  • 生成式人工智能的問題
  • 生成式人工智能介紹及實施時間表
  • 一代人工智能與搬遷
  • 內部和外部風險
  • 對勞動力的影響
  • 實施挑戰

第六章 全球生成人工智能市場展望

  • 市場規模/預測
  • 按組件
    • 軟件
    • 服務
  • 按技術
    • 變形金剛
    • 擴散網絡
    • 生成對抗網絡（GAN）
    • 變分自動編碼器
  • 按最終用戶
    • BFSI（銀行、金融服務、保險）
    • 遊戲
    • 信息通信技術/通信
    • 衛生保健
    • 媒體娛樂
    • 汽車/交通
    • 其他
  • 按地區
    • 北美
    • 歐洲
    • 南美洲
    • 亞太地區
    • 中東/非洲
  • 按公司劃分的市場份額

第七章 全球生成人工智能市場展望：按地區

  • 北美
  • 歐洲
  • 南美洲
  • 亞太地區
  • 中東/非洲

第 8 章 市場測繪

  • 按組件
  • 按技術
  • 按最終用戶
  • 按地區

第九章 宏觀環境與產業結構

  • 供需分析
  • 供應/價值鏈分析
  • PESTEL 分析
  • 波特五力分析

第十章市場動態

  • 增長動力
  • 生長抑制因素（問題/抑制因素）

第十一章競爭格局

  • 前 5 名市場領導者的競爭矩陣
  • 前 10 名市場領導者的市場收入分析
  • 併購/合資企業（如適用）
  • 專利分析（如果適用）

第12章價格分析

第十三章案例研究

第十四章 主要公司展望

  • Google LLC
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Openai Opco, Llc
  • Adobe Inc.
  • IBM Corporation
  • Meta Platforms, Inc.
  • Genie Ai Limited
  • Synthesia Limited

第十五章 戰略建議

第十六章關於我們公司/免責聲明

Product Code: MX10107

Global Generative Artificial Intelligence (AI) Market size was valued at USD 6.93 billion in 2022 which is expected to reach USD 72.80 billion in 2030 with a CAGR of 35.95% for the forecast period between 2023 and 2030. Generative AI has several benefits, including increased understanding of abstract ideas, effective production of high-quality material, and enhanced identity protection. Because of this, generative AI is widely used in a variety of sectors, including information and technology (IT), robotics, entertainment, marketing, healthcare, education, banking, financial services, and insurance (BFSI). The availability of large data sets, increasing demand for deep learning, and expansion of the Internet of Things (IoT) are driving the market expansion.

Moreover, for spam identification, image compression, and processing data stages like eliminating noise from visual data to improve picture quality, generative AI uses unsupervised learning techniques. In addition, supervised learning algorithms are employed in image categorization and medical imaging. Owing to its various benefits, many companies are exploring their way into the market. For example, the release of ChatGPT generative AI by a startup named OpenAI has sparked competition among big tech giants such as Google and others to create technology that has the potential to revolutionize civilization.

The market is driven due to the integration of AI in autonomous vehicles as well. For example, Tesla is developing autonomous algorithms utilizing data from car sensors. Also, while communicating with potential clients, marketers are increasingly utilizing AI tactics, notably in the areas of data collecting and message targeting. Approximately 68% of B2B marketers adopt automation as part of their marketing strategy. Similarly, Netflix is a prime example of leveraging generative AI for personalized recommendations. The company's recommendation algorithm analyses user viewing patterns, ratings, and other data to generate personalized recommendations for each user, increasing user engagement and retention. However, the shortage of specialized labor and high implementation costs restrain the growth of this sector, and generative AI has security vulnerabilities that might lead to greater identity theft.

Rising Adoption Owing to its Advantage of Automation

One of the key benefits of generative AI is that it can automate processes like product design, content production, and data analysis that often require human input. Since Generative AI can produce content that appears to be identical to human-created output, many businesses are looking to simplify their processes and allocate more of their human resources to other projects. By integrating hyper-automation technologies such as generative AI, machine learning, and robotic process automation (RPA), etc., with improved operational procedures, organizations are expected to reduce operational expenses by 30%. Moreover, generative AI frequently outperforms humans in these activities, resulting in increased productivity and quality. According to the National Bureau of Economic Research, generative AI increases productivity by approximately 14%.

Integration of Generative AI by Big Firms

While the economic recession in the United States and Europe has clouded the prognosis for discretionary spending, the adoption of Generative AI provides room for many big companies to expand budgets with an aim to enhance productivity and provide more value to consumers. Technical budgets are expected to continue to grow as savings from generative AI adoption are reinvested in new programs.

In 2023, NVIDIA, a leading manufacturer of high-end graphics processing units (GPUs), declared to incorporate generative AI into every product, service, and business activity. Shift from general-purpose to accelerated computing will result due to the firm's trillion dollars of deployed global data center equipment. Similarly, Myntra, a fashion shopping site owned by the Flipkart group, has launched 'MyFashionGPT,' a search tool powered by ChatGPT. This latest invention enables consumers to convey their fashion demands, allowing them to select their preferences from over 2 million designs. Additionally, the company announced the debut of 'MyStylist', an AI-based stylist expert that gives users professional style suggestions and vernacular searches in 11 languages on its platform.

Government Initiatives and Regulations

Governments worldwide are actively supporting the generative AI market through a range of initiatives. Their efforts include providing funding and grants, establishing research and innovation centers, developing policies and regulations, promoting talent development and education, fostering industry collaboration and partnerships, and investing in AI infrastructure.

Ministry of Electronics and Information Technology (MeitY) launched Digital India Bhashini as an independent business division, which is based on Chat-GPT, which would assist students in learning scientific and technological topics in their own language .

Moreover, The European Union has proposed new copyright restrictions for generative AI. Companies adopting generative AI tools, such as ChatGPT, will be required to declare any copyrighted information utilized in the creation of their systems, as per an early EU agreement that pave the way for the world's first comprehensive legislation controlling the technology.

Healthcare Industry Contributing to Market Expansion

The generative AI market is primarily driven by the healthcare sector, and in the years to come, further expansion and innovation are expected to boost the market. Generative AI is expected to assist or enhance 40% of all healthcare labor hours. Medical imaging is utilizing generative AI to enhance illness diagnosis. These systems learn to recognize patterns and anomalies that are hard for human doctors to spot by examining massive datasets of medical radiographic films. Moreover, generative AI helps in building biological molecules, prosthetic limbs, and other things from scratch when used in conjunction with 3D printing, CRISPR, and other technologies. Moreover, it results in early cancer diagnosis and more efficient treatment regimens.

North America Making Significant Contributions

Owing to the presence of many market players and government support, North America has emerged as a dominant region in the adoption and development of generative AI. The United States, particularly the Silicon Valley area in California, has been at the forefront of generative AI research and development. Many leading technology companies and research institutions in the U.S., such as OpenAI, Google, Facebook, NVIDIA, and IBM have made substantial contributions to advancing generative AI technologies. In addition, the United States' National Science Foundation (NSF) announced the establishment of 11 new NSF National Artificial Intelligence Research Institutes and announced an additional USD 140 million investment for the setup which broadens the scope of these institute to cover 40 states and the District of Columbia.

Impact of COVID-19

Due to the COVID-19 pandemic, there have been several effects on the global market for generative AI. Several companies have been pressured to reduce expenses, and purchases of generative AI technology have either been postponed or abandoned. However, the need for generative AI solutions has increased significantly in several industries. For instance, the need for AI-powered medical diagnosis and treatment solutions has surged in the healthcare sector. The virus outbreak has also boosted the need for remote work solutions, which has raised the need for chatbots and virtual assistants, thereby boosting the global generative AI market.

Key Players Landscape and Outlook

Solutions for a wide range of applications, including text-to-image, image-to-image, and super-resolution, are provided by several market participants in generative AI. Market players are engaged in active acquisitions and mergers with the motive to dominate the industry. Apart from this, companies are integrating AI in pre-existing software. For instance, Microsoft Corp., a software firm based in the United States, announced Microsoft 365 Copilot , an AI assistant feature for Microsoft 365 services and apps, in March 2023. Businesses may benefit from Microsoft 365 Copilot by saving time, simplifying and automating IT operations, and improving productivity.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Impact of COVID-19

4. Executive Summary

5. Voice of Customer

  • 5.1. Demographics
  • 5.2. Familiarity With Generative AI
  • 5.3. Consumer Perception And Outlook
  • 5.4. Penetration Of Generative AI
  • 5.5. Generative Ai Applications
  • 5.6. Factors Considered In The Adoption Of Generative Artificial Intelligence (AI)
  • 5.7. Challenges With Generative AI
  • 5.8. Booming Industry Adoption Of Generative AI And Adoption Timelines
  • 5.9. Generative AI And Job Displacement
  • 5.10. Internal And External Risks
  • 5.11. Workforce Implications
  • 5.12. Implementation Challenges

6. Global Generative Artificial Intelligence (AI) Market Outlook, 2016-2030F

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. By Component
    • 6.2.1. Software
      • 6.2.1.1. On Premises
      • 6.2.1.2. Cloud Based
    • 6.2.2. Services
      • 6.2.2.1. Managed Service
      • 6.2.2.2. Professional Service
  • 6.3. By Technology
    • 6.3.1. Transformers
    • 6.3.2. Diffusion Networks
    • 6.3.3. Generative Adversarial Networks (GANs)
    • 6.3.4. Variational Auto-Encoders
  • 6.4. By End-user
    • 6.4.1. Banking, Financial Services and Insurance (BFSI)
    • 6.4.2. Gaming
    • 6.4.3. ICT and Telecommunications
    • 6.4.4. Healthcare
    • 6.4.5. Media and Entertainment
    • 6.4.6. Automotive and Transportation
    • 6.4.7. Others
  • 6.5. By Region
    • 6.5.1. North America
    • 6.5.2. Europe
    • 6.5.3. South America
    • 6.5.4. Asia-Pacific
    • 6.5.5. Middle East and Africa
  • 6.6. By Company Market Share (%), 2022

7. Global Generative Artificial Intelligence (AI) Market Outlook, By Region, 2016-2030F

  • 7.1. North America
    • 7.1.1. By Component
      • 7.1.1.1. Software
      • 7.1.1.1.1. On Premises
      • 7.1.1.1.2. Cloud Based
      • 7.1.1.2. Services
      • 7.1.1.2.1. Managed Service
      • 7.1.1.2.2. Professional Service
    • 7.1.2. By Technology
      • 7.1.2.1. Transformers
      • 7.1.2.2. Diffusion Networks
      • 7.1.2.3. Generative Adversarial Networks (GANs)
      • 7.1.2.4. Variational Auto-Encoders
    • 7.1.3. By End-user
      • 7.1.3.1. Banking, Financial Services and Insurance (BFSI)
      • 7.1.3.2. Gaming
      • 7.1.3.3. ICT and Telecommunications
      • 7.1.3.4. Healthcare
      • 7.1.3.5. Media and Entertainment
      • 7.1.3.6. Automotive and Transportation
      • 7.1.3.7. Others
    • 7.1.4. United States
      • 7.1.4.1. By Component
      • 7.1.4.1.1. Software
      • 7.1.4.1.2. Services
      • 7.1.4.2. By Technology
      • 7.1.4.2.1. Transformers
      • 7.1.4.2.2. Diffusion Networks
      • 7.1.4.2.3. Generative Adversarial Networks (GANs)
      • 7.1.4.2.4. Variational Auto-Encoders
      • 7.1.4.3. By End-user
      • 7.1.4.3.1. Banking, Financial Services and Insurance (BFSI)
      • 7.1.4.3.2. Gaming
      • 7.1.4.3.3. ICT and Telecommunications
      • 7.1.4.3.4. Healthcare
      • 7.1.4.3.5. Media and Entertainment
      • 7.1.4.3.6. Automotive and Transportation
      • 7.1.4.3.7. Others
    • 7.1.5. Canada
    • 7.1.6. Mexico
  • 7.2. Europe
    • 7.2.1. Germany
    • 7.2.2. France
    • 7.2.3. United Kingdom
    • 7.2.4. Russia
    • 7.2.5. Spain
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Colombia
  • 7.4. Asia-Pacific
    • 7.4.1. China
    • 7.4.2. India
    • 7.4.3. Japan
    • 7.4.4. Australia
    • 7.4.5. South Korea
  • 7.5. Middle East & Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. South Africa
    • 7.5.4. Egypt

8. Market Mapping, 2022

  • 8.1. By Component
  • 8.2. By Technology
  • 8.3. By End-user
  • 8.4. By Region

9. Macro Environment and Industry Structure

  • 9.1. Supply Demand Analysis
  • 9.2. Supply/Value Chain Analysis
  • 9.3. PESTEL Analysis
    • 9.3.1. Political Factors
    • 9.3.2. Economic System
    • 9.3.3. Social Implications
    • 9.3.4. Technological Advancements
    • 9.3.5. Environmental Impacts
    • 9.3.6. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
  • 9.4. Porter's Five Forces Analysis
    • 9.4.1. Supplier Power
    • 9.4.2. Buyer Power
    • 9.4.3. Substitution Threat
    • 9.4.4. Threat from New Entrant
    • 9.4.5. Competitive Rivalry

10. Market Dynamics

  • 10.1. Growth Drivers
  • 10.2. Growth Inhibitors

11. Competitive Landscape

  • 11.1. Competition Matrix of Top Five Market Leaders
  • 11.2. Market Revenue Analysis of Top Ten Market Leaders (in %, 2022)
  • 11.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
  • 11.4. Patent Analysis (If Applicable)

12. Pricing Analysis

13. Case Studies

14. Key Players Outlook

  • 14.1. Google LLC
    • 14.1.1. Company Details
    • 14.1.2. Key Management Personnel
    • 14.1.3. SWOT Analysis (For Five Market Players)
    • 14.1.4. Products & Services
    • 14.1.5. Financials (As Reported)
    • 14.1.6. Key Market Focus & Geographical Presence
    • 14.1.7. Recent Developments
  • 14.2. Amazon Web Services, Inc.
  • 14.3. Microsoft Corporation
  • 14.4. NVIDIA Corporation
  • 14.5. Openai Opco, Llc
  • 14.6. Adobe Inc.
  • 14.7. IBM Corporation
  • 14.8. Meta Platforms, Inc.
  • 14.9. Genie Ai Limited
  • 14.10. Synthesia Limited

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work

15. Strategic Recommendations

16. About Us & Disclaimer

List of Tables

  • Table 01: India Generative AI Market - Competition Matrix of Market Leaders, 2022

List of Figures

  • Figure 1: Respondents (%) Region
  • Figure 2: Respondents by Type of Company
  • Figure 3: Respondents by Company Size
  • Figure 4: Respondents Familiarity with Generative AI (%)
  • Figure 5: Respondents Perception and Outlook (%)
  • Figure 6: Respondents Usage of Generative AI (%)
  • Figure 7: Respondents Generative AI Applications (%)
  • Figure 8: Respondents Factors Considered (%)
  • Figure 9: Respondents Challenges with Generative AI (%)
  • Figure 10: Respondents Industry Adoption (%)
  • Figure 11: Respondents Adoption Timelines (%)
  • Figure 12: Respondents Job Displacement (%)
  • Figure 13: Respondents Risk Evaluation (%)
  • Figure 14: Generative AI Workforce Implications
  • Figure 15: Respondents Implementation Challenges
  • Figure 16: Global Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 17 : Global Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 18: Global Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, 2016-2030F
  • Figure 19: Global Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, 2016-2030F
  • Figure 20: Global Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 21: Global Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 22: Global Generative Artificial Intelligence Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 23: Global Generative AI Market Share, By Company Market Share (%), FY2022
  • Figure 24: North America Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 25: North America Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 26: North America Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, 2016-2030F
  • Figure 27: North America Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, 2016-2030F
  • Figure 28: North America Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 29: North America Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 30: North America Generative Artificial Intelligence Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 31: United States Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 32: United States Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 33 : United States Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 34: United States Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 35: Canada Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 36: Canada Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 37: Canada Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 38: Canada Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 39: Mexico Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 40: Mexico Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 41: Mexico Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 42: Mexico Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 43: Europe Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 44: Europe Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, FY2017-2031F
  • Figure 45: Europe Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, FY2017-2031F
  • Figure 46: Europe Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, FY2017-2031F
  • Figure 47: Europe Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, FY2017-2031F
  • Figure 48: Europe Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 49: Europe Generative Artificial Intelligence Market share, By Region, By Value Share, In %, 2016-2030F
  • Figure 50: Germany Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 51: Germany Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 52: Germany Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 53: Germany Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 54: France Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 55: France Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 56: France Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 57: France Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 58: United Kingdom Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 59: United Kingdom Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 60: United Kingdom Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 61: United Kingdom Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 62: Russia Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 63: Russia Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 64: Russia Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 65: Russia Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 66: Spain Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 67: Spain Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 68: Spain Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 69: Spain Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 70: South America Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 71: South America Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 72: South America Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, 2016-2030F
  • Figure 73: South America Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, 2016-2030F
  • Figure 74: South America Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 75: South America Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 76: South America Generative Artificial Intelligence Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 77: Brazil Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 78: Brazil Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 79: Brazil Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 80: Brazil Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 81: Argentina Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 82: Argentina Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 83: Argentina Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 84: Argentina Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 85: Colombia Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 86: Colombia Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 87: Colombia Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 88: Colombia Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 89: Asia-Pacific Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 90: Asia-Pacific Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 91: Asia-Pacific Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, 2016-2030F
  • Figure 92: Asia-Pacific Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, 2016-2030F
  • Figure 93: Asia-Pacific Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 94: Asia-Pacific Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 95: Asia-Pacific Generative Artificial Intelligence Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 96: China Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 97: China Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 98: China Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 99: China Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 100: India Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 101: India Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 102: India Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 103: India Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 104: Japan Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 105: Japan Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 106: Japan Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 107: Japan Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 108: Australia Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 109: Australia Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 110: Australia Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 111: Australia Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 112: South Korea Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 113: South Korea Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 114: South Korea Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 115: South Korea Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 116: Middle East & Africa Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 117: Middle East & Africa Generative Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 118: Middle East & Africa Generative Artificial Intelligence Market Share, By Software, By Value Share, In %, 2016-2030F
  • Figure 119: Middle East & Africa Generative Artificial Intelligence Market Share, By Services, By Value Share, In %, 2016-2030F
  • Figure 120: Middle East & Africa Generative Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 121: Middle East & Africa Generative Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 122: Middle East & Africa Generative Artificial Intelligence Market Share, By Region, By Value Share, In %, 2016-2030F
  • Figure 123: Saudi Arabia Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 124: Saudi Arabia Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 125: Saudi Arabia Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 126: Saudi Arabia Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 127 : UAE Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 128: UAE Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 129: UAE Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 130: UAE Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 131: South Africa Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 132: South Africa Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 133: South Africa Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 134: South Africa Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 135: Egypt Generative Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F
  • Figure 136: Egypt Artificial Intelligence Market Share, By Component, By Value Share, In %, 2016-2030F
  • Figure 137: Egypt Artificial Intelligence Market Share, By Technology, By Value Share, In %, 2016-2030F
  • Figure 138: Egypt Artificial Intelligence Market Share, By End-user, By Value Share, In %, 2016-2030F
  • Figure 139: By Component Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 140: By Software Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 141: By Services Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 142: By Technology, Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 143: By End-User, Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 144: By Region, Map-Market Size (USD Billion, 2023) & Growth Rate (%), 2023E-2030F
  • Figure 145: Estimated Revenues of Top Ten Players in Global Generative AI Market, in USD Billion, FY2022