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市場調查報告書
商品編碼
1364001

全球生成人工智慧市場 2023-2030

Global Generative AI Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

在程式碼資料集上訓練的生成式人工智慧模型可用於產生新程式碼，例如軟體應用程式和網站。該模型將能夠產生與資料集中的程式碼相似的程式碼，但它也將能夠產生新的原始程式碼。 DALL-E 2 是一種生成式 AI 模型，在文字和圖像資料集上進行訓練。 DALL-E 2 可用於根據文字描述產生圖像。

細分市場前景

全球生成人工智慧市場根據產品、應用、業務功能和垂直領域進行細分。根據所提供的產品，市場分為軟體和服務。根據應用，市場分為文字、圖像、影片等。根據業務功能，市場分為行銷和銷售、人力資源、研發、財務和其他（客戶服務和教育）。根據垂直行業，市場細分為 BFSI、IT 和電信、醫療保健、媒體和娛樂、零售和電子商務、製造、建築和房地產等。

該軟體產品在生成式人工智慧市場中佔據了主要佔有率

由於醫療保健、金融和製造等多種應用對生成式人工智慧軟體的高需求，到 2022 年，軟體領域將佔據生成式人工智慧市場的主要市場佔有率。基於雲端的生成式人工智慧軟體解決方案的日益普及使企業更容易部署和使用生成式人工智慧。開源生成式人工智慧軟體庫的可用性不斷增加，使開發人員可以更輕鬆地建立生成式人工智慧應用程式。

區域展望

全球生成人工智慧市場根據地理位置進一步細分，包括北美（美國和加拿大）、歐洲（義大利、西班牙、德國、法國等）、亞太地區（印度、中國、日本、韓國等）其他）以及世界其他地區（中東、非洲和拉丁美洲）。其中，由於生成式人工智慧技術在該地區（尤其是美國）的廣泛採用，北美佔據了主要市場佔有率。該地區發達的技術基礎設施支援生成式人工智慧應用的開發和部署。

亞太地區將在全球市場中佔據主要佔有率

亞太地區是阿里巴巴、百度、騰訊等多家大型科技公司的所在地。這些公司正在大力投資生成式人工智慧研究和開發，同時也為其業務開發生成式人工智慧應用程式。例如，2023 年 6 月，百度聯合創始人兼執行長李彥宏宣布推出 10 億元人民幣（1.45 億美元）的基金來支持生成型人工智慧公司。這項投資有助於推動該地區生成人工智慧市場的成長。

市場參與者展望

服務全球生成人工智慧市場的主要公司包括亞馬遜網路服務公司、微軟公司、Google公司和IBM公司等。市場參與者透過各種策略（包括併購、合作、合作和新產品發布）為市場成長做出巨大貢獻，以保持市場競爭力。例如，2023 年，Google AI 和 OpenAI 宣佈建立合作夥伴關係，共同開發和部署生成式 AI 技術。這項合作關係匯集了兩家在生成人工智慧研究和開發領域領先的公司。 Google AI 和 OpenAI 之間在開發和部署生成式人工智慧技術方面的合作意義重大，因為它匯集了生成式人工智慧研究和開發領域的兩家領先公司。這種夥伴關係有可能加速新型創新生成人工智慧技術的開發。兩家公司可以共同開發新的文字到圖像擴散模型，該模型比現有模型更強大、更通用。這些新模型可用於為廣告、設計和娛樂等各種應用程式產生逼真且富有創意的圖像。

報告涵蓋：

  • 2022年市場價​​值資料分析及2030年預測。
  • 每個細分市場的年化市場收入（百萬美元）。
  • 主要地理區域的國家分析。
  • 全球生成人工智慧市場的主要公司。根據現有資料，報告中還提供了與新產品發布相關的資訊以及相關新聞。
  • 透過確定未來強勁成長的關鍵細分市場來分析業務策略。
  • 市場進入和市場擴張策略分析。
  • 透過識別市場中「誰的立場」來制定競爭策略。

目錄

第 1 章：報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 按細分
    • 按地區

第 2 章：市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要發現
    • 建議
    • 結論

第 3 章：競爭格局

  • 主要公司分析
  • Microsoft, Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Google LLC
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • IBM Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展

第 4 章：市場細分

  • 全球生成人工智慧市場（按產品分類）
    • 軟體
    • 服務
  • 全球生成人工智慧市場（按應用）
    • 文字
    • 影像
    • 影片
    • 其他（音訊、代碼）
  • 按業務功能分類的全球生成人工智慧市場
    • 行銷與銷售
    • 人力資源
    • 金融
    • 研究與開發
    • 其他（客戶服務和教育）
  • 全球生成人工智慧市場（按垂直領域）
    • BFSI
    • 資訊科技和電信
    • 衛生保健
    • 零售與電子商務
    • 製造業
    • 媒體與娛樂
    • 建築和房地產
    • 其他（政府和國防、能源和公用事業等）

第 5 章：區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第 6 章：公司簡介

  • Adobe, Inc.
  • AI21 Labs
  • Amazon Web Services, Inc.
  • Anthropic PBC
  • Bazaarvoice, Inc.
  • Cisco Systems, Inc. (MindMeld)
  • Cognizant, Inc.
  • Cohere, Inc.
  • Dataiku
  • Fractal Analytics Pvt., Ltd.
  • Genie AI Ltd.
  • Hugging Face, Inc.
  • MOSTLY AI Solutions MP GmbH
  • NVIDIA Corporation
  • OpenAI
  • Regie.ai
  • Rephrase Technologies Pvt. Ltd
  • Salesforce, Inc.
  • SAP SE
  • Stability AI
  • Synthesis AI
Product Code: OMR2027728

Title: Global Generative AI Market Size, Share & Trends Analysis Report Market by Offering (Software and Services), by Application (Text, Image, Video, and Others (Audio)), Business Function (Marketing and Sales, Finance, Human Resource, Research and Development, and Others (Customer service and Education)), Vertical (BFSI, IT and Telecommunication, Healthcare, Media and Entertainment, Retail and E-Commerce, Manufacturing, Construction and Real Estate, and Others)) Forecast Period (2022-2030).

Global generative AI market is anticipated to grow at a considerable CAGR of 48.5% during the forecast period. Generative artificial intelligence (AI) is a type of AI that can generate new content, such as text, images, or videos, in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. Generative AI models are trained on large datasets of text, code, or images. As more and more data becomes available, generative AI models can produce more realistic and creative content. Generative AI models are trained on large datasets of text, code, or images. This means that the models are exposed to a wide variety of examples of the type of content that they are supposed to generate.

A generative AI model that is trained on a dataset of code can be used to generate new code, such as software applications and websites. The model will be able to generate code that is similar to the code in the dataset, but it will also be able to generate new and original code. DALL-E 2 is a generative AI model that is trained on a dataset of text and images. DALL-E 2 can be used to generate images from text descriptions.

Segmental Outlook

The global generative AI market is segmented based on offering, application, business function, and vertical. Based on the offering, the market is segmented into software and services. Based on application, the market is sub-segmented into text, image, video, and others. Based on business function, the market is segmented into marketing and sales, human resources, research and development, finance, and others (customer service and education). Based on vertical, the market is sub-segmented into BFSI, IT and telecommunication, healthcare, media and entertainment, retail and e-commerce, manufacturing, construction and real estate, and others.

The Software offering showed a major share of the Generative AI market

The software segment held the major market share of the generative AI market in 2022 due to the high demand in a wide range of applications for generative AI software including healthcare, finance, and manufacturing. The increasing adoption of cloud-based generative AI software solutions makes it easier for businesses to deploy and use generative AI. The growing availability of open-source generative AI software libraries makes it easier for developers to build generative AI applications.

Regional outlooks

The global generative AI market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among these North America holds the major market share of the market owing to high adoption of generative AI technologies in the region, particularly in the US. The well-developed technology infrastructure in the region supports the development and deployment of generative AI applications.

The Asia-Pacific Region to Hold Major Share in the Global Market

The Asia Pacific region is home to several large technology companies such as Alibaba, Baidu, and Tencent. These companies are investing heavily in generative AI research and development, and they are also developing generative AI applications for their businesses. For instance, in June 2023, Baidu's co-founder and CEO Robin Li announced the launch of a billion yuan ($145 million) fund to back generative AI companies. This investment is helping to drive the growth of the generative AI market in the region.

Market Players Outlook

The major companies serving the global generative AI market include Amazon Web Services, Inc., Microsoft, Corp., Google LLC., and IBM Corp., among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, and new product launches, to stay competitive in the market. For instance, In 2023, Google AI and OpenAI announced a partnership to develop and deploy generative AI technologies. This partnership brings together two of the leading companies in generative AI research and development. The partnership between Google AI and OpenAI to develop and deploy generative AI technologies is significant because it brings together two of the leading companies in generative AI research and development. This partnership has the potential to accelerate the development of new and innovative generative AI technologies. The two companies could work together to develop new text-to-image diffusion models that are more powerful and versatile than the models that are available today. These new models could be used to generate realistic and creative images for a variety of applications, such as advertising, design, and entertainment.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global generative AI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Microsoft, Corp.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Google LLC
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. IBM Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments

4. Market Segmentation

  • 4.1. Global Generative AI Market by Offering
    • 4.1.1. Software
    • 4.1.2. Services
  • 4.2. Global Generative AI Market by Application
    • 4.2.1. Text
    • 4.2.2. Image
    • 4.2.3. Video
    • 4.2.4. Others (Audio, Code)
  • 4.3. Global Generative AI Market by Business Function
    • 4.3.1. Marketing and Sales
    • 4.3.2. Human Resources
    • 4.3.3. Finance
    • 4.3.4. Research and Development
    • 4.3.5. Others (Customer Service and Education)
  • 4.4. Global Generative AI Market by Vertical
    • 4.4.1. BFSI
    • 4.4.2. IT and Telecommunication
    • 4.4.3. Healthcare
    • 4.4.4. Retail and E-Commerce
    • 4.4.5. Manufacturing
    • 4.4.6. Media and Entertainment
    • 4.4.7. Construction and Real Estate
    • 4.4.8. Others (Government and Defense, Energy and Utilities, and Other)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World
    • 5.4.1. Latin America
    • 5.4.2. Middle East and Africa

6. Company Profiles

  • 6.1. Adobe, Inc.
  • 6.2. AI21 Labs
  • 6.3. Amazon Web Services, Inc.
  • 6.4. Anthropic PBC
  • 6.5. Bazaarvoice, Inc.
  • 6.6. Cisco Systems, Inc. (MindMeld)
  • 6.7. Cognizant, Inc.
  • 6.8. Cohere, Inc.
  • 6.9. Dataiku
  • 6.10. Fractal Analytics Pvt., Ltd.
  • 6.11. Genie AI Ltd.
  • 6.12. Hugging Face, Inc.
  • 6.13. MOSTLY AI Solutions MP GmbH
  • 6.14. NVIDIA Corporation
  • 6.15. OpenAI
  • 6.16. Regie.ai
  • 6.17. Rephrase Technologies Pvt. Ltd
  • 6.18. Salesforce, Inc.
  • 6.19. SAP SE
  • 6.20. Stability AI
  • 6.21. Synthesis AI

LIST OF TABLES

  • 1. GLOBAL GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2030 ($ MILLION)
  • 2. GLOBAL GENERATIVE AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 3. GLOBAL GENERATIVE AI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 4. GLOBAL GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 5. GLOBAL GENERATIVE AI FOR TEXT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 6. GLOBAL GENERATIVE AI FOR IMAGE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 7. GLOBAL GENERATIVE AI FOR VIDEO MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 8. GLOBAL GENERATIVE AI FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 9. GLOBAL GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS FUNCTION, 2023-2030 ($ MILLION)
  • 10. GLOBAL GENERATIVE AI FOR MARKETING AND SALES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 11. GLOBAL GENERATIVE AI FOR HUMAN RESOURCE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 12. GLOBAL GENERATIVE AI FOR FINANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 13. GLOBAL GENERATIVE AI FOR RESEARCH AND DEVELOPMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 14. GLOBAL GENERATIVE AI FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 15. GLOBAL GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2030 ($ MILLION)
  • 16. GLOBAL GENERATIVE AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 17. GLOBAL GENERATIVE AI FOR IT AND TELECOMMUNICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION) MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 18. GLOBAL GENERATIVE AI FOR MEDIA AND ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 19. GLOBAL GENERATIVE AI FOR CONSTRUCTION AND REAL ESTATE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 20. GLOBAL GENERATIVE AI FOR HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 21. GLOBAL GENERATIVE AI FOR RETAIL AND E-COMMERCE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 22. GLOBAL GENERATIVE AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 23. GLOBAL GENERATIVE AI FOR OTHERS (MEDIA AND ENTERTAINMENT) MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 24. GLOBAL GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 25. NORTH AMERICAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 26. NORTH AMERICAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2030 ($ MILLION)
  • 27. NORTH AMERICAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 28. NORTH AMERICAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS FUNCTION, 2023-2030 ($ MILLION)
  • 29. NORTH AMERICAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2030 ($ MILLION)
  • 30. EUROPEAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 31. EUROPEAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2030 ($ MILLION)
  • 32. EUROPEAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 33. EUROPEAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS FUNCTION, 2023-2030 ($ MILLION)
  • 34. EUROPEAN GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2030 ($ MILLION)
  • 35. ASIA-PACIFIC GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 36. ASIA-PACIFIC GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2030 ($ MILLION)
  • 37. ASIA-PACIFIC GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 38. ASIA-PACIFIC GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS FUNCTION, 2023-2030 ($ MILLION)
  • 39. ASIA-PACIFIC GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS VERTICAL, 2023-2030 ($ MILLION)
  • 40. REST OF THE WORLD GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 41. REST OF THE WORLD GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2030 ($ MILLION)
  • 42. REST OF THE WORLD GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 43. REST OF THE WORLD GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY BUSINESS FUNCTION, 2023-2030 ($ MILLION)
  • 44. REST OF THE WORLD GENERATIVE AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL GENERATIVE AI MARKET SHARE BY OFFERING, 2023 VS 2030 (%)
  • 2. GLOBAL GENERATIVE AI FOR SOFTWARE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 3. GLOBAL GENERATIVE AI FOR SERVICES MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 4. GLOBAL GENERATIVE AI MARKET SHARE BY APPLICATION, 2023 VS 2030 ($ MILLION)
  • 5. GLOBAL GENERATIVE AI FOR TEXT MARKET SHARE BY REGION, 2022 VS. 2030 (%)
  • 6. GLOBAL GENERATIVE AI FOR IMAGE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 7. GLOBAL GENERATIVE AI FOR VIDEO MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 8. GLOBAL GENERATIVE AI FOR OTHERS (PRODUCT DESIGN) MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 9. GLOBAL GENERATIVE AI MARKET SHARE BY BUSINESS FUNCTION, 2023 VS 2030 ($ MILLION)
  • 10. GLOBAL GENERATIVE AI FOR MARKETING AND SALES MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 11. GLOBAL GENERATIVE AI FOR FINANCE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 12. GLOBAL GENERATIVE AI FOR HUMAN RESOURCE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 13. GLOBAL GENERATIVE AI FOR RESEARCH AND DEVELOPMENT MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 14. GLOBAL GENERATIVE AI FOR OTHERS MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 15. GLOBAL GENERATIVE AI MARKET SHARE BY VERTICAL, 2023 VS 2030 ($ MILLION)
  • 16. GLOBAL GENERATIVE AI FOR BFSI MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 17. GLOBAL GENERATIVE AI FOR IT AND TELECOMMUNICATION MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 18. GLOBAL GENERATIVE AI FOR MEDIA AND ENTERTAINMENT MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 19. GLOBAL GENERATIVE AI FOR CONSTRUCTION AND REAL ESTATE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 20. GLOBAL GENERATIVE AI FOR HEALTHCARE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 21. GLOBAL GENERATIVE AI FOR RETAIL MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 22. GLOBAL GENERATIVE AI FOR MANUFACTURING MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 23. GLOBAL GENERATIVE AI FOR OTHERS (MEDIA AND ENTERTAINMENT) MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 24. GLOBAL GENERATIVE AI MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 25. US GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 26. CANADA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 27. UK GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 28. FRANCE GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 29. GERMANY GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 30. ITALY GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 31. SPAIN GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 32. REST OF EUROPE GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 33. INDIA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 34. CHINA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 35. JAPAN GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 36. SOUTH KOREA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 37. REST OF ASIA-PACIFIC GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 38. LATIN AMERICA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)
  • 39. MIDDLE EAST AND AFRICA GENERATIVE AI MARKET SIZE, 2023-2030 ($ MILLION)