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封面
市场调查报告书
商品编码
1364001

全球生成人工智慧市场 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个工作天内

价格

在程式码资料集上训练的生成式人工智慧模型可用于产生新程式码，例如软体应用程式和网站。该模型将能够产生与资料集中的程式码相似的程式码，但它也将能够产生新的原始程式码。 DALL-E 2 是一种生成式 AI 模型，在文字和图像资料集上进行训练。 DALL-E 2 可用于根据文字描述产生图像。

细分市场前景

全球生成人工智慧市场根据产品、应用、业务功能和垂直领域进行细分。根据所提供的产品，市场分为软体和服务。根据应用，市场分为文字、图像、影片等。根据业务功能，市场分为行销和销售、人力资源、研发、财务和其他（客户服务和教育）。根据垂直行业，市场细分为 BFSI、IT 和电信、医疗保健、媒体和娱乐、零售和电子商务、製造、建筑和房地产等。

该软体产品在生成式人工智慧市场中占据了主要份额

由于医疗保健、金融和製造等多种应用对生成式人工智慧软体的高需求，到 2022 年，软体领域将占据生成式人工智慧市场的主要市场份额。基于云端的生成式人工智慧软体解决方案的日益普及使企业更容易部署和使用生成式人工智慧。开源生成式人工智慧软体库的可用性不断增加，使开发人员可以更轻鬆地建立生成式人工智慧应用程式。

区域展望

全球生成人工智慧市场根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（义大利、西班牙、德国、法国等）、亚太地区（印度、中国、日本、韩国等）其他）以及世界其他地区（中东、非洲和拉丁美洲）。其中，由于生成式人工智慧技术在该地区（尤其是美国）的广泛采用，北美占据了主要市场份额。该地区发达的技术基础设施支援生成式人工智慧应用的开发和部署。

亚太地区将在全球市场中占据主要份额

亚太地区是阿里巴巴、百度、腾讯等多家大型科技公司的所在地。这些公司正在大力投资生成式人工智慧研究和开发，同时也为其业务开发生成式人工智慧应用程式。例如，2023 年 6 月，百度联合创始人兼执行长李彦宏宣布推出 10 亿元人民币（1.45 亿美元）的基金来支持生成型人工智慧公司。这项投资有助于推动该地区生成人工智慧市场的成长。

市场参与者展望

服务全球生成人工智慧市场的主要公司包括亚马逊网路服务公司、微软公司、Google公司和IBM公司等。市场参与者透过各种策略（包括併购、合作、合作和新产品发布）为市场成长做出巨大贡献，以保持市场竞争力。例如，2023 年，Google AI 和 OpenAI 宣布建立合作伙伴关係，共同开发和部署生成式 AI 技术。这项合作关係汇集了两家在生成人工智慧研究和开发领域领先的公司。 Google AI 和 OpenAI 之间在开发和部署生成式人工智慧技术方面的合作意义重大，因为它汇集了生成式人工智慧研究和开发领域的两家领先公司。这种伙伴关係有可能加速新型创新生成人工智慧技术的开发。两家公司可以共同开发新的文字到图像扩散模型，该模型比现有模型更强大、更通用。这些新模型可用于为广告、设计和娱乐等各种应用程式产生逼真且富有创意的图像。

报告涵盖：

  • 2022年市场价​​值资料分析及2030年预测。
  • 每个细分市场的年化市场收入（百万美元）。
  • 主要地理区域的国家分析。
  • 全球生成人工智慧市场的主要公司。根据现有资料，报告中还提供了与新产品发布相关的资讯以及相关新闻。
  • 透过确定未来强劲成长的关键细分市场来分析业务策略。
  • 市场进入和市场扩张策略分析。
  • 透过识别市场中「谁的立场」来制定竞争策略。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Microsoft, Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Google LLC
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • IBM Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展

第 4 章：市场细分

  • 全球生成人工智慧市场（按产品划分）
    • 软体
    • 服务
  • 全球生成人工智慧市场（按应用）
    • 文字
    • 影像
    • 影片
    • 其他（音讯、代码）
  • 按业务功能分類的全球生成人工智慧市场
    • 行销与销售
    • 人力资源
    • 金融
    • 研究与开发
    • 其他（客户服务和教育）
  • 全球生成人工智慧市场（按垂直领域）
    • BFSI
    • 资讯科技和电信
    • 卫生保健
    • 零售与电子商务
    • 製造业
    • 媒体与娱乐
    • 建筑和房地产
    • 其他（政府和国防、能源和公用事业等）

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第 6 章：公司简介

  • 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)