產生人工智慧市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、技術、最終用途、地區、競爭細分

全球生成人工智慧市場預計在預測期內將出現更快的年複合成長率。生成式人工智慧，也稱為生成對抗網路（GAN），是指一類人工智慧演算法和模型，旨在產生類似於給定訓練資料集的新資料樣本。這些模型從資料集中學習，可以產生與原始訓練資料具有相似特徵的新內容，例如圖像、音樂、文字甚至影片。

生成式人工智慧是指人工智慧的一個子集，專注於產生內容或資料，而不是簡單地對其進行處理。這種類型的人工智慧可用於多種應用，包括自然語言處理、圖像和視訊生成以及音樂和藝術創作。生成式人工智慧通常基於深度學習技術，涉及在大量資料上訓練大型神經網路，以產生在風格或形式上與原始資料相似的新內容。例如，生成語言模型可以在大型文字資料語料庫上進行訓練，然後用於產生在語氣和結構上與原始文字相似的新句子或段落。生成式人工智慧最著名的例子之一是 GPT-3 語言模型，它可以產生跨各種主題和風格的極其真實且連貫的文本。其他範例包括DALL-E圖像生成模型，它可以根據文字提示創建逼真的圖像，以及MuseNet音樂生成模型，它可以創作各種風格的原創音樂作品。生成式人工智慧透過產生合成訓練資料和模擬現實場景，在開發自主系統和機器人方面發揮作用。它有助於訓練自動駕駛汽車、無人機和機器人應用中的感知、控制和決策模型。

近年來，在人工智慧、機器學習和深度學習技術進步的推動下，生成式人工智慧市場經歷了顯著成長。該市場涵蓋廣泛的行業和應用程式，利用生成式人工智慧技術產生新內容、改進創意流程並增強用戶體驗。

市場概況
預測期	2024-2028
2022 年市場規模	306.7億美元
2028 年市場規模	3034.1億美元
2023-2028 年年複合成長率	45.33%
成長最快的細分市場	衛生保健
最大的市場	北美洲

近年來，隨著企業和個人尋求自動化內容創建並降低與人力相關的成本，生成式人工智慧市場出現了顯著成長。科技在各行業都有廣泛的應用，包括廣告、娛樂、電子商務和遊戲。生成式人工智慧市場既有老牌公司，也有創新新創公司。 Google、微軟、IBM、NVIDIA 和 Adob​​e 等主要技術參與者正在投資生成式 AI 研究和開發平台、工具和框架，以促進其採用。此外，還有許多新創公司專注於特定的生成式人工智慧應用程式，探索新的用例並突破可能的界限。

新技術應用的不斷增加推動生成人工智慧市場

新技術應用的不斷增加確實推動了全球生成人工智慧市場的成長。深度學習、自然語言處理 (NLP)、電腦視覺和神經網路等技術的進步為更複雜的生成式人工智慧系統的開發鋪平了道路。

跨產業工作流程現代化的需求不斷成長

各行業對工作流程現代化的需求不斷成長，正在推動生成式人工智慧市場的發展。生成式人工智慧是指人工智慧的一個子集，涉及使用演算法來創建原創內容或設計。這項技術可以幫助實現業務營運各個方面的自動化，包括以前由人類完成的創造性任務。

生成式人工智慧的一個主要好處是它可以幫助企業簡化工作流程並減少體力勞動。例如，在圖形設計領域，生成式人工智慧可用於自動建立徽標、網站設計和其他品牌材料。在製造領域，生成式人工智慧可用於最佳化產品設計並提高生產流程的效率。

在自動化需求不斷成長以及跨行業工作流程現代化的需求的推動下，生成式人工智慧市場預計將在未來幾年顯著成長。

總之，企業對工作流程現代化、減少體力勞動和提高效率的需求推動了對生成式人工智慧的需求。因此，隨著越來越多的企業採用這項技術來保持各自行業的競爭力，生成人工智慧市場預計將持續成長。

隱私和安全問題

生成式人工智慧市場是指利用機器學習、深度學習和神經網路等人工智慧技術來產生圖像、影片和文字等新內容。雖然這項技術有著巨大的潛力，但確實存在一些可能阻礙其發展的挑戰，包括缺乏熟練的勞動力和高昂的實施成本。

生成式人工智慧市場成長的主要障礙之一是缺乏熟練的勞動力。建立生成式人工智慧模型需要機器學習、資料科學和電腦程式設計等領域的大量專業知識。然而，目前這些領域缺乏熟練的專業人員，這意味著公司可能很難找到建置和部署生成式人工智慧解決方案所需的人才。

除了缺乏熟練勞動力之外，全球生成人工智慧市場面臨的另一個挑戰是高昂的實施成本。建構和部署生成式人工智慧模型可能是一個複雜且耗時的過程，需要在硬體、軟體和訓練資料方面進行大量投資。這可能會讓預算有限的小公司很難開始使用生成式人工智慧，這可能會限制市場的整體成長。

儘管有這些挑戰，生成人工智慧市場仍在成長，並且正在努力解決這些問題。例如，有一些措施旨在提供培訓和教育計劃，以幫助解決該領域熟練專業人員的短缺問題。此外，還有一些公司正在致力於開發更有效率、更具成本效益的工具和平台，用於建構和部署生成式人工智慧模型。

市場區隔

根據組件，市場分為軟體和服務。根據技術，市場分為生成對抗網路（GAN）、變壓器、變分自動編碼器和擴散網路。根據最終用途，市場分為媒體和娛樂、BFSI、IT 和電信、醫療保健、汽車和運輸、其他。

公司簡介

市場上的一些主要參與者包括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 。這些公司提供廣泛的組件，包括應用程式開發、基礎設施管理、雲端運算、網路安全和資料分析。

全球生成人工智慧市場競爭激烈，各公司不斷尋求透過專業知識、組件品質和成本效益來使自己脫穎而出。隨著對創新產品的需求持續成長，全球生成人工智慧市場預計在未來幾年將進一步擴大。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球生成人工智慧市場還分為以下幾類：

生成式人工智慧市場，按組成部分：

• 軟體
• 服務

生成式人工智慧市場（按技術）：

• 生成對抗網路（GAN）
• 變形金剛
• 變分自動編碼器
• 擴散網路

生成式人工智慧市場（依最終用途）：

• 媒體與娛樂
• BFSI
• 資訊科技與電信
• 衛生保健
• 汽車與運輸
• 其他

生成式人工智慧市場（按地區）：

• 亞太
• 中國
• 日本
• 印度
• 澳洲
• 韓國
• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 西班牙
• 義大利
• 中東和非洲
• 以色列
• 土耳其
• 沙烏地阿拉伯
• 阿拉伯聯合大公國
• 南美洲
• 巴西
• 阿根廷
• 哥倫比亞

競爭格局

• 公司概況：全球生成人工智慧市場主要公司的詳細分析。

可用的客製化：

• 根據給定的市場資料，TechSci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

• 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：服務概述

• 市場定義
• 市場範圍
  • 涵蓋的市場
  • 研究年份
  • 主要市場區隔

第 2 章：研究方法

• 研究目的
• 基線方法
• 主要產業夥伴
• 主要協會和二手資料來源
• 預測方法
• 數據三角測量與驗證
• 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球生成人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件（軟體、服務）
  • 依技術分類（產生對抗網路 (GAN)、變壓器、變分自動編碼器、擴散網路）
  • 按最終用途（媒體和娛樂、BFSI、IT 和電信、醫療保健、汽車和運輸、其他）
  • 按地區（亞太地區、北美、歐洲、中東和非洲、南美洲）
• 按公司分類 (2022)
• 市場地圖

第 6 章：北美生成式人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件
  • 依技術
  • 按最終用途
  • 按國家/地區
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第 7 章：亞太地區生成人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件
  • 依技術
  • 按最終用途
  • 按國家/地區
• 亞太地區：國家分析
  • 中國
  • 日本
  • 韓國
  • 印度
  • 澳洲

第 8 章：歐洲生成人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件
  • 依技術
  • 按最終用途
  • 按國家/地區
• 歐洲：國家分析
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙

第 9 章：南美洲生成式人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件
  • 依技術
  • 按最終用途
  • 按國家/地區
• 南美洲：國家分析
  • 巴西
  • 阿根廷
  • 哥倫比亞

第 10 章：中東和非洲生成人工智慧市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按組件
  • 依技術
  • 按最終用途
  • 按國家/地區
• 中東和非洲：國家分析
  • 以色列
  • 土耳其
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯

第 11 章：市場動態

• 促進要素
• 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

• 開放人工智慧有限責任公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 英偉達公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 谷歌有限責任公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 微軟公司
  • 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
• 奧多比公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 英特爾公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 國際商業機器公司
  • Business Overview
  • Key Revenue (If Available)
  • Recent Developments
  • Key Personnel
  • Key Service Offered
• 亞馬遜網路服務公司
  • 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：策略建議

第 15 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

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.)