产生人工智慧市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、技术、最终用途、地区、竞争细分

全球生成人工智慧市场预计在预测期内将出现更快的复合年增长率。生成式人工智慧，也称为生成对抗网路（GAN），是指一类人工智慧演算法和模型，旨在产生类似于给定训练资料集的新资料样本。这些模型从资料集中学习，可以产生与原始训练资料具有相似特征的新内容，例如图像、音乐、文字甚至影片。

生成式人工智慧是指人工智慧的一个子集，专注于产生内容或资料，而不是简单地对其进行处理。这种类型的人工智慧可用于多种应用，包括自然语言处理、图像和视讯生成以及音乐和艺术创作。生成式人工智慧通常基于深度学习技术，涉及在大量资料上训练大型神经网络，以产生在风格或形式上与原始资料相似的新内容。例如，生成语言模型可以在大型文字资料语料库上进行训练，然后用于产生在语气和结构上与原始文字相似的新句子或段落。生成式人工智慧最着名的例子之一是 GPT-3 语言模型，它可以产生跨各种主题和风格的极其真实且连贯的文本。其他范例包括DALL-E图像生成模型，它可以根据文字提示创建逼真的图像，以及MuseNet音乐生成模型，它可以创作各种风格的原创音乐作品。生成式人工智慧透过产生合成训练资料和模拟现实场景，在开发自主系统和机器人方面发挥作用。它有助于训练自动驾驶汽车、无人机和机器人应用中的感知、控制和决策模型。

近年来，在人工智慧、机器学习和深度学习技术进步的推动下，生成式人工智慧市场经历了显着成长。该市场涵盖广泛的行业和应用程序，利用生成式人工智慧技术产生新内容、改进创意流程并增强用户体验。

市场概况
预测期	2024-2028
2022 年市场规模	306.7亿美元
2028 年市场规模	3034.1亿美元
2023-2028 年复合年增长率	45.33%
成长最快的细分市场	卫生保健
最大的市场	北美洲

近年来，随着企业和个人寻求自动化内容创建并降低与人力相关的成本，生成式人工智慧市场出现了显着增长。科技在各行业都有广泛的应用，包括广告、娱乐、电子商务和游戏。生成式人工智慧市场既有老牌公司，也有创新新创公司。 Google、微软、IBM、NVIDIA 和 Adob​​e 等主要技术参与者正在投资生成式 AI 研究和开发平台、工具和框架，以促进其采用。此外，还有许多新创公司专注于特定的生成式人工智慧应用程序，探索新的用例并突破可能的界限。

新技术应用的不断增加推动生成人工智慧市场

新技术应用的不断增加确实推动了全球生成人工智慧市场的成长。深度学习、自然语言处理 (NLP)、电脑视觉和神经网路等技术的进步为更复杂的生成式人工智慧系统的开发铺平了道路。

跨产业工作流程现代化的需求不断增长

各行业对工作流程现代化的需求不断增长，正在推动生成式人工智慧市场的发展。生成式人工智慧是指人工智慧的一个子集，涉及使用演算法来创建原创内容或设计。这项技术可以帮助实现业务运营各个方面的自动化，包括以前由人类完成的创造性任务。

生成式人工智慧的一个主要好处是它可以帮助企业简化工作流程并减少体力劳动。例如，在图形设计领域，生成式人工智慧可用于自动建立徽标、网站设计和其他品牌材料。在製造领域，生成式人工智慧可用于优化产品设计并提高生产流程的效率。

在自动化需求不断增长以及跨行业工作流程现代化的需求的推动下，生成式人工智慧市场预计将在未来几年显着增长。

总之，企业对工作流程现代化、减少体力劳动和提高效率的需求推动了对生成式人工智慧的需求。因此，随着越来越多的企业采用这项技术来保持各自行业的竞争力，生成人工智慧市场预计将持续成长。

隐私和安全问题

生成式人工智慧市场是指利用机器学习、深度学习和神经网路等人工智慧技术来产生图像、影片和文字等新内容。虽然这项技术有着巨大的潜力，但确实存在一些可能阻碍其发展的挑战，包括缺乏熟练的劳动力和高昂的实施成本。

生成式人工智慧市场成长的主要障碍之一是缺乏熟练的劳动力。建立生成式人工智慧模型需要机器学习、资料科学和电脑程式设计等领域的大量专业知识。然而，目前这些领域缺乏熟练的专业人员，这意味着公司可能很难找到建置和部署生成式人工智慧解决方案所需的人才。

除了缺乏熟练劳动力之外，全球生成人工智慧市场面临的另一个挑战是高昂的实施成本。建构和部署生成式人工智慧模型可能是一个复杂且耗时的过程，需要在硬体、软体和训练资料方面进行大量投资。这可能会让预算有限的小公司很难开始使用生成式人工智慧，这可能会限制市场的整体成长。

儘管有这些挑战，生成人工智慧市场仍在成长，并且正在努力解决这些问题。例如，有一些措施旨在提供培训和教育计划，以帮助解决该领域熟练专业人员的短缺问题。此外，还有一些公司正在致力于开发更有效率、更具成本效益的工具和平台，用于建构和部署生成式人工智慧模型。

市场区隔

根据组件，市场分为软体和服务。根据技术，市场分为生成对抗网路（GAN）、变压器、变分自动编码器和扩散网路。根据最终用途，市场分为媒体和娱乐、BFSI、IT 和电信、医疗保健、汽车和运输、其他。

公司简介

市场上的一些主要参与者包括OpenAI, LLC、NVIDIA Corporation、Google LLC、Microsoft Corporation、Meta Platforms, Inc.、Adobe Inc.、Intel Corporation、International Business Machines Corp.、Amazon Web Services, Inc.、MOSTLY AI Inc 。这些公司提供广泛的组件，包括应用程式开发、基础设施管理、云端运算、网路安全和资料分析。

全球生成人工智慧市场竞争激烈，各公司不断寻求透过专业知识、组件品质和成本效益来使自己脱颖而出。随着对创新产品的需求持续成长，全球生成人工智慧市场预计在未来几年将进一步扩大。

报告范围：

在本报告中，除了以下详细介绍的产业趋势外，全球生成人工智慧市场还分为以下几类：

生成式人工智慧市场，按组成部分：

• 软体
• 服务

生成式人工智慧市场（按技术）：

• 生成对抗网路（GAN）
• 变形金刚
• 变分自动编码器
• 扩散网络

生成式人工智慧市场（依最终用途）：

• 媒体与娱乐
• BFSI
• 资讯科技与电信
• 卫生保健
• 汽车与运输
• 其他的

生成式人工智慧市场（按地区）：

• 亚太
• 中国
• 日本
• 印度
• 澳洲
• 韩国
• 北美洲
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 西班牙
• 义大利
• 中东和非洲
• 以色列
• 土耳其
• 沙乌地阿拉伯
• 阿联酋
• 南美洲
• 巴西
• 阿根廷
• 哥伦比亚

竞争格局

• 公司概况：全球生成人工智慧市场主要公司的详细分析。

可用的客製化：

• 根据给定的市场资料，TechSci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

• 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

• 市场定义
• 市场范围
  • 涵盖的市场
  • 考虑学习的年份
  • 主要市场区隔

第 2 章：研究方法

• 研究目的
• 基线方法
• 主要产业伙伴
• 主要协会和二手资料来源
• 预测方法
• 数据三角测量与验证
• 假设和限制

第 3 章：执行摘要

第 4 章：客户之声

第 5 章：全球生成人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件（软体、服务）
  • 依技术分类（产生对抗网路 (GAN)、变压器、变分自动编码器、扩散网路）
  • 按最终用途（媒体和娱乐、BFSI、IT 和电信、医疗保健、汽车和运输、其他）
  • 按地区（亚太地区、北美、欧洲、中东和非洲、南美洲）
• 按公司划分 (2022)
• 市场地图

第 6 章：北美生成式人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件
  • 依技术
  • 按最终用途
  • 按国家/地区
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第 7 章：亚太地区生成人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件
  • 依技术
  • 按最终用途
  • 按国家/地区
• 亚太地区：国家分析
  • 中国
  • 日本
  • 韩国
  • 印度
  • 澳洲

第 8 章：欧洲生成人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件
  • 依技术
  • 按最终用途
  • 按国家/地区
• 欧洲：国家分析
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙

第 9 章：南美洲生成式人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件
  • 依技术
  • 按最终用途
  • 按国家/地区
• 南美洲：国家分析
  • 巴西
  • 阿根廷
  • 哥伦比亚

第 10 章：中东和非洲生成人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件
  • 依技术
  • 按最终用途
  • 按国家/地区
• 中东和非洲：国家分析
  • 以色列
  • 土耳其
  • 阿联酋
  • 沙乌地阿拉伯

第 11 章：市场动态

• 司机
• 挑战

第 12 章：市场趋势与发展

第 13 章：公司简介

• 开放人工智慧有限责任公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 英伟达公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 谷歌有限责任公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 微软公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 元平台公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 奥多比公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 英特尔公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 国际商业机器公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 亚马逊网路服务公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• MOSTLY AI公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered

第 14 章：策略建议

第 15 章：关于我们与免责声明

（註：公司名单可依客户要求客製化。）

Global Generative AI Market is expected to register a faster CAGR during the forecast period. Generative AI, also known as generative adversarial networks (GANs), refers to a class of artificial intelligence algorithms and models that are designed to generate new data samples that resemble a given training dataset. These models learn from a dataset and can generate new content, such as images, music, text, or even video, that has similar characteristics to the original training data.

Generative AI refers to a subset of artificial intelligence that focuses on generating content or data, rather than simply processing it. This type of AI is used in a variety of applications, including natural language processing, image and video generation, and music and art creation. Generative AI is often based on deep learning techniques, which involve training large neural networks on vast amounts of data to generate new content that is similar in style or form to the original data. For example, a generative language model might be trained on a large corpus of text data, and then used to generate new sentences or paragraphs that are similar in tone and structure to the original text. One of the most famous examples of generative AI is the GPT-3 language model, which can generate incredibly realistic and coherent text across a wide range of topics and styles. Other examples include the DALL-E image generation model, which can create realistic images based on textual prompts, and the MuseNet music generation model, which can compose original pieces of music in a variety of styles. Generative AI plays a role in developing autonomous systems and robots by generating synthetic training data and simulating real-world scenarios. It aids in training models for perception, control, and decision-making in autonomous vehicles, drones, and robotics applications.

The generative AI market has been experiencing significant growth in recent years, driven by advancements in artificial intelligence, machine learning, and deep learning technologies. The market encompasses a wide range of industries and applications that leverage generative AI techniques to generate new content, improve creative processes, and enhance user experiences.

Market Overview
Forecast Period	2024-2028
Market Size 2022	USD 30.67 Billion
Market Size 2028	USD 303.41 Billion
CAGR 2023-2028	45.33%
Fastest Growing Segment	Healthcare
Largest Market	North America

In recent years, the generative AI market has seen significant growth as businesses and individuals look to automate content creation and reduce costs associated with human labor. Technology has numerous applications across various industries, including advertising, entertainment, e-commerce, and gaming. The generative AI market is inhabited by both established companies and innovative startups. Major technology players like Google, Microsoft, IBM, NVIDIA, and Adobe are investing in generative AI research and developing platforms, tools, and frameworks to facilitate its adoption. Additionally, there are numerous startups focused on specific generative AI applications, exploring new use cases and pushing the boundaries of what is possible.

Rising Applications of Novel Technologies Drive the Generative AI Market

The rising applications of novel technologies are indeed driving the growth of the global generative AI market. The advancements in technologies such as deep learning, natural language processing (NLP), computer vision, and neural networks have paved the way for the development of more sophisticated generative AI systems.

One of the main applications of generative AI is natural language generation, which is being used to automate content creation for a variety of industries, such as journalism, e-commerce, and marketing. For example, generative AI systems can be used to write product descriptions, news articles, and social media posts.

Another application of generative AI is image generation, which is being used in the fields of fashion, interior design, and architecture. Generative AI systems can be used to create unique designs and generate new product ideas.

Moreover, the entertainment industry is also leveraging the benefits of generative AI for applications such as video creation and music composition. These technologies are being used to automate the content creation process, reduce costs, and improve efficiency.

As more industries recognize the potential of generative AI and invest in its development, the market is expected to grow significantly in the coming years.

Growing Demand to Modernize Workflow Across Industries

The growing demand to modernize workflows across industries is driving the generative AI market. Generative AI refers to a subset of artificial intelligence that involves the use of algorithms to create original content or designs. This technology can help automate various aspects of business operations, including creative tasks that were previously done by humans.

One key benefit of generative AI is that it can help businesses streamline their workflow and reduce manual labor. For example, in the field of graphic design, generative AI can be used to automate the creation of logos, website designs, and other branding materials. In manufacturing, generative AI can be used to optimize product design and improve the efficiency of the production process.

The generative AI market is expected to grow significantly in the coming years, driven by the increasing demand for automation and the need to modernize workflows across industries.

In summary, the demand for generative AI is being driven by the need for businesses to modernize their workflows, reduce manual labor, and increase efficiency. As a result, there is expected to be continued growth in the generative AI market as more businesses adopt this technology to stay competitive in their respective industries.

Privacy and Security Concerns

The Generative AI market refers to the use of artificial intelligence techniques such as machine learning, deep learning, and neural networks to generate new content such as images, videos, and text. While there is great potential for this technology, there are indeed some challenges that could hamper its growth, including the lack of skilled workforce and high implementation costs.

One of the primary obstacles to the growth of the Generative AI market is the lack of skilled workforce. Building Generative AI models requires a significant amount of expertise in areas such as machine learning, data science, and computer programming. However, there is currently a shortage of skilled professionals in these areas, which means that companies may struggle to find the talent they need to build and deploy Generative AI solutions.

In addition to the lack of skilled workforce, another challenge facing the Global Generative AI market is the high implementation costs. Building and deploying Generative AI models can be a complex and time-consuming process that requires significant investments in hardware, software, and training data. This can make it difficult for smaller companies with limited budgets to get started with Generative AI, which could limit the overall growth of the market.

Despite these challenges, the Generative AI market is still growing, and there are efforts underway to address these issues. For example, there are initiatives aimed at providing training and education programs to help address the shortage of skilled professionals in the field. Additionally, there are companies that are working to develop more efficient and cost-effective tools and platforms for building and deploying Generative AI models.

Market Segmentation

Based on Component, the market is segmented into Software, and Services. Based on Technology, the market is segmented into Generative Adversarial Networks (GANs), Transformers, Variational Auto-encoders, and Diffusion Networks. Based on End-Use, the market is segmented into Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Others.

Company Profiles

Some of the key players in the market include OpenAI, L.L.C., NVIDIA Corporation, Google LLC, Microsoft Corporation, Meta Platforms, Inc, Adobe Inc., Intel Corporation, International Business Machines Corp., Amazon Web Services, Inc., MOSTLY AI Inc. These companies offer a wide range of components, including application development, infrastructure management, cloud computing, cybersecurity, and data analytics.

The Global Generative AI market is highly competitive, with companies constantly seeking to differentiate themselves through their expertise, quality of components, and cost-effectiveness. As the demand for innovative products continues to grow, the Global Generative AI market is expected to expand further in the coming years.

Report Scope:

In this report, the global Generative AI market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Generative AI Market, By Component:

• Software
• Services

Generative AI Market, By Technology:

• Generative adversarial networks (GANs)
• Transformers
• Variational Auto-encoders
• Diffusion Networks

Generative AI Market, By End-Use:

• Media & Entertainment
• BFSI
• IT & Telecommunication
• Healthcare
• Automotive & Transportation
• Others

Generative AI Market, By Region:

• Asia-Pacific
• China
• Japan
• India
• Australia
• South Korea
• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Spain
• Italy
• Middle East & Africa
• Israel
• Turkey
• Saudi Arabia
• UAE
• South America
• Brazil
• Argentina
• Colombia

Competitive Landscape

• Company Profiles: Detailed analysis of the major companies present in the global Generative AI market.

Available Customizations:

• With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Generative AI Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Software, Services)
  • 5.2.2. By Technology (Generative Adversarial Networks (GANs), Transformers, Variational Auto-encoders, Diffusion Networks)
  • 5.2.3. By End-Use (Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Others)
  • 5.2.4. By Region (Asia-Pacific, North America, Europe, Middle East & Africa, and South America)
• 5.3. By Company (2022)
• 5.4. Market Map

6. North America Generative AI Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Technology
  • 6.2.3. By End-Use
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Generative AI Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Technology
      • 6.3.1.2.3. By End-Use
  • 6.3.2. Canada Generative AI Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Technology
      • 6.3.2.2.3. By End-Use
  • 6.3.3. Mexico Generative AI Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Technology
      • 6.3.3.2.3. By End-Use

7. Asia-Pacific Generative AI Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Technology
  • 7.2.3. By End-Use
  • 7.2.4. By Country
• 7.3. Asia-Pacific: Country Analysis
  • 7.3.1. China Generative AI Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By End-Use
  • 7.3.2. Japan Generative AI Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By End-Use
  • 7.3.3. South Korea Generative AI Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By End-Use
  • 7.3.4. India Generative AI Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Technology
      • 7.3.4.2.3. By End-Use
  • 7.3.5. Australia Generative AI Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Technology
      • 7.3.5.2.3. By End-Use

8. Europe Generative AI Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Technology
  • 8.2.3. By End-Use
  • 8.2.4. By Country
• 8.3. Europe: Country Analysis
  • 8.3.1. Germany Generative AI Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By End-Use
  • 8.3.2. United Kingdom Generative AI Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By End-Use
  • 8.3.3. France Generative AI Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By End-Use
  • 8.3.4. Italy Generative AI Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By End-Use
  • 8.3.5. Spain Generative AI Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By End-Use

9. South America Generative AI Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Technology
  • 9.2.3. By End-Use
  • 9.2.4. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil Generative AI Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By End-Use
  • 9.3.2. Argentina Generative AI Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By End-Use
  • 9.3.3. Colombia Generative AI Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By End-Use

10. Middle East & Africa Generative AI Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Technology
  • 10.2.3. By End-Use
  • 10.2.4. By Country
• 10.3. Middle East & Africa: Country Analysis
  • 10.3.1. Israel Generative AI Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By End-Use
  • 10.3.2. Turkey Generative AI Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By End-Use
  • 10.3.3. UAE Generative AI Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By End-Use
  • 10.3.4. Saudi Arabia Generative AI Market Outlook
    • 10.3.4.1. Market Size & Forecast
      • 10.3.4.1.1. By Value
    • 10.3.4.2. Market Share & Forecast
      • 10.3.4.2.1. By Component
      • 10.3.4.2.2. By Technology
      • 10.3.4.2.3. By End-Use

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

• 13.1. OpenAI, L.L.C.
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue (If Available)
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Service Offered
• 13.2. NVIDIA Corporation
  • 13.2.1. Business Overview
  • 13.2.2. Key Revenue (If Available)
  • 13.2.3. Recent Developments
  • 13.2.4. Key Personnel
  • 13.2.5. Key Service Offered
• 13.3. Google LLC
  • 13.3.1. Business Overview
  • 13.3.2. Key Revenue (If Available)
  • 13.3.3. Recent Developments
  • 13.3.4. Key Personnel
  • 13.3.5. Key Service Offered
• 13.4. Microsoft Corporation
  • 13.4.1. Business Overview
  • 13.4.2. Key Revenue (If Available)
  • 13.4.3. Recent Developments
  • 13.4.4. Key Personnel
  • 13.4.5. Key Service Offered
• 13.5. Meta Platforms, Inc
  • 13.5.1. Business Overview
  • 13.5.2. Key Revenue (If Available)
  • 13.5.3. Recent Developments
  • 13.5.4. Key Personnel
  • 13.5.5. Key Service Offered
• 13.6. Adobe Inc.
  • 13.6.1. Business Overview
  • 13.6.2. Key Revenue (If Available)
  • 13.6.3. Recent Developments
  • 13.6.4. Key Personnel
  • 13.6.5. Key Service Offered
• 13.7. Intel Corporation
  • 13.7.1. Business Overview
  • 13.7.2. Key Revenue (If Available)
  • 13.7.3. Recent Developments
  • 13.7.4. Key Personnel
  • 13.7.5. Key Service Offered
• 13.8. International Business Machines Corp
  • 13.8.1. Business Overview
  • 13.8.2. Key Revenue (If Available)
  • 13.8.3. Recent Developments
  • 13.8.4. Key Personnel
  • 13.8.5. Key Service Offered
• 13.9. Amazon Web Services, Inc.
  • 13.9.1. Business Overview
  • 13.9.2. Key Revenue (If Available)
  • 13.9.3. Recent Developments
  • 13.9.4. Key Personnel
  • 13.9.5. Key Service Offered
• 13.10. MOSTLY AI Inc
  • 13.10.1. Business Overview
  • 13.10.2. Key Revenue (If Available)
  • 13.10.3. Recent Developments
  • 13.10.4. Key Personnel
  • 13.10.5. Key Service Offered

14. Strategic Recommendations

15. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)