查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1776779

2032 年生成式人工智慧市場預測：按組件、模型、客戶、技術、應用、最終用戶和地區進行的全球分析

Generative AI Market Forecasts to 2032 - Global Analysis By Component (Software and Service), Model, Customer, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球生成式人工智慧市場預計在 2025 年達到 853 億美元，到 2032 年將達到 8,819 億美元，預測期內的複合年成長率為 39.6%。

生成式人工智慧 (Generative AI) 是一種人工智慧系統，旨在創建與其訓練資料類似的新資料輸出。這些系統使用能夠學習資料底層結構和模式的模型，然後產生原始內容，例如文字、圖像或程式碼。與對結果進行分類或預測的判別式模型不同，生成式模型旨在產生與訓練輸入在統計上匹配的新合成資料。

據行業專家稱，2023年，87%的用戶認為對話式人工智慧/聊天機器人將有助於提高他們的整體工作效率。

數位媒體和娛樂的成長

數位媒體平台和內容主導經營模式的擴張，推動了動畫、遊戲設計和虛擬製作領域對生成式人工智慧解決方案的需求。為了大規模產生引人入勝的超現實內容，工作室和創作者正在採用人工智慧模型來加快製作週期。在元宇宙舉措和數位化身激增的支持下，生成式人工智慧已成為下一代媒體生態系統的核心。在成本效益和內容在地化需求的驅動下，娛樂產業持續將生成式人工智慧融入其工作流程。

缺乏法律規範

缺乏對人工智慧生成內容的清晰統一監管，令行業相關人員感到營運上的不確定性和道德困境。圍繞著版權所有權、使用者同意以及深度造假偽造濫用等不斷演變的問題，導致許多組織猶豫是否要全面採用生成式人工智慧工具。由於對假訊息和品牌安全的擔憂，監管漏洞正在侵蝕信任，並阻礙創新。在透明使用政策和審核機制需求的推動下，企業正在呼籲建立一個平衡的框架，以保護創造力和課責。

與其他AI應用程式整合

將生成式人工智慧與自然語言處理 (NLP)、建議引擎和電腦視覺等互補技術相結合，開啟了自動化和洞察的新維度。這種整合使企業能夠建立情境感知的虛擬代理，自動產生合成資料集，並增強視覺搜尋功能。生成式人工智慧正超越獨立工具的範疇，這主要體現在企業級設計、內容創建和原型製作中人工智慧的應用。在開發者友善的 API 和開放原始碼框架的支援下，整個人工智慧堆疊的整合正在迅速擴展。

濫用以產生誤導性內容

生成式人工智慧能夠創造超逼真的文字、音訊和視覺效果，這引發了人們對其操縱輿論和欺騙消費者潛力的擔憂。在政治虛假資訊宣傳活動和詐騙媒體的推動下，生成模型的惡意使用威脅著公眾信任和數完整性。由於訪問門檻低、可追溯性低，深度造假和合成內容在社交平臺上氾濫。在全球審查力度加大的推動下，對負責任的部署和數位浮水印標準的呼聲日益高漲。

COVID-19的影響：

新冠疫情顯著加速了數位工具的普及，並將生成式人工智慧定位為遠端創意和內容自動化的關鍵推動力。向數位優先的行銷和電子商務的轉變，導致對人工智慧驅動的視覺效果和文案的需求激增。這些變化推動了生成式人工智慧成為後疫情時代創新流程的核心要素。

圖像和影片生成模型預計將成為預測期內最大的細分市場

預計在預測期內，圖像和影片生成模型領域將佔據最大的市場佔有率，這得益於設計、行銷、娛樂和模擬行業應用的激增。在開放原始碼工具和 DALL-E 和 Runway ML 等基礎模型的推動下，企業和獨立創作者如今都可以使用該技術。在可擴展雲端基礎架構和 GPU 加速的支援下，渲染和推理過程正變得更快、更經濟。受影像保真度和快速工程技術的推動，影像和視訊生成仍然是主要的用例。

預計生成對抗網路 (GAN) 部分在預測期內將以最高的複合年成長率成長。

生成對抗網路 (GAN) 領域預計將在預測期內實現最高成長率，這得益於其無與倫比的生成逼真輸出的能力。在學術研究和工業實驗的推動下，GAN 透過 StyleGAN 和 CycleGAN 等創新不斷發展。在科技巨頭和研究機構不斷增加的投資支援下，基於 GAN 的架構正在不斷改進，以提高準確性和可控性。在數位化模擬真實場景的需求的推動下，該領域有望大幅擴張。

佔比最高的地區：

由於積極的數位轉型努力和對人工智慧基礎設施投資的不斷增加，預計亞太地區將在預測期內佔據最大的市場佔有率。在中國、韓國和日本領先科技公司的推動下，該地區在生成式人工智慧的研究和商業化方面均處於領先地位。政府對人工智慧發展的大力支持，包括資金籌措和政策框架，正在加速該地區的人工智慧應用。受遊戲、數位學習和零售業對可擴展內容生成需求的推動，亞太地區在生成式人工智慧部署方面保持了主導地位。

複合年成長率最高的地區：

預計北美地區在預測期內將呈現最高的複合年成長率，這得益於強勁的研發投入、商業部署以及人工智慧創新者的高度集中。受媒體、醫療保健和金融等行業企業廣泛採用的推動，生成式人工智慧正在迅速擴張。在創業投資支援和IPO活動的推動下，多家生成式人工智慧公司已從原型階段發展成為主流應用。在企業雲端遷移和自動化需求不斷成長的推動下，北美正成為生成式人工智慧的全球成長引擎。

免費客製化服務：

此報告的訂閱者可以使用以下免費自訂選項之一：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球生成式人工智慧市場（按組件分類）

  • 軟體
  • 服務

第6章：全球生成式人工智慧市場（按模型）

  • 大規模語言模型
  • 影像和影片的生成模型
  • 多模態生成模型
  • 其他型號

7. 全球生成人工智慧市場（按客戶）

  • 模型建構器
  • 應用程式建構器

8. 全球生成式人工智慧市場（按技術）

  • 生成對抗網路（GAN）
  • 變壓器
  • 變分自動編碼器
  • 擴散網路

第9章：全球生成人工智慧市場（按應用）

  • 電腦視覺
  • NLP
  • 機器人與自動化
  • 內容生成
  • 聊天機器人和智慧虛擬助理
  • 預測分析
  • 其他用途

第 10 章：全球生成式人工智慧市場（按最終用戶分類）

  • 媒體與娛樂
  • BFSI
  • 資訊科技/通訊
  • 衛生保健
  • 汽車和運輸
  • 遊戲
  • 其他最終用戶

第 11 章：全球生成式人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • NVIDIA
  • Adobe
  • Amazon Web Services（AWS）
  • Autodesk
  • Baidu
  • Google LLC
  • IBM
  • Lighttricks
  • Meta
  • Microsoft
  • Synthesis AI
  • SAP SE
  • Accenture
  • Rephrase.ai
  • Genie AI Ltd.
  • MOSTLY AI Inc.
  • D-ID
Product Code: SMRC30110

According to Stratistics MRC, the Global Generative AI Market is accounted for $85.3 billion in 2025 and is expected to reach $881.9 billion by 2032 growing at a CAGR of 39.6% during the forecast period. Generative AI is a category of artificial intelligence systems designed to create new data outputs that resemble the data they were trained on. These systems use models capable of learning the underlying structure and patterns of data, enabling them to generate original content such as text, images, or code. Unlike discriminative models, which classify or predict outcomes, generative models aim to produce new, synthetic data that is statistically consistent with their training inputs.

According to an industry expert in 2023, 87% users believe that conversational AI/chatbots help increase the overall productivity.

Market Dynamics:

Driver:

Growth in digital media and entertainment

The expansion of digital media platforms and content-driven business models is fueling demand for generative AI solutions across animation, game design, and virtual production. Propelled by the need to generate engaging, hyper-realistic content at scale, studios and creators are adopting AI models to expedite production cycles.Backed by the proliferation of metaverse initiatives and digital avatars, generative AI is central to next-gen media ecosystems. Motivated by cost-efficiency and content localization needs, the entertainment sector continues to integrate generative AI into its workflows.

Restraint:

Lack of regulatory frameworks

The absence of clear and uniform regulations regarding AI-generated content has created operational uncertainties and ethical dilemmas for industry stakeholders. Driven by evolving questions around copyright ownership, consent, and deepfake misuse, many organizations hesitate to deploy generative AI tools at full scale. Spurred by concerns over misinformation and brand safety, regulatory gaps undermine trust and delay innovation. Guided by the need for transparent usage policies and auditing mechanisms, companies are lobbying for balanced frameworks that protect creativity and accountability.

Opportunity:

Integration with other AI applications

Integrating generative AI with complementary technologies-such as NLP, recommendation engines, and computer vision-is unlocking new dimensions of automation and insight. Spurred by this convergence, enterprises can now build context-aware virtual agents, auto-generate synthetic datasets, and enhance visual search capabilities.Guided by the adoption of AI in enterprise-level design, content creation, and prototyping, generative AI is moving beyond standalone tools. Backed by developer-friendly APIs and open-source frameworks, integration across AI stacks is scaling rapidly.

Threat:

Misuse for generating misleading content

The ability of generative AI to fabricate hyper-realistic text, audio, and visuals has raised alarm over its potential to manipulate public opinion and deceive consumers. Spurred by political misinformation campaigns and fraudulent media, malicious use of generative models threatens public trust and digital integrity. Fueled by low barriers to access and minimal traceability, deepfakes and synthetic content are proliferating across social platforms.Guided by increasing global scrutiny, calls for responsible deployment and watermarking standards are intensifying.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of digital tools, positioning generative AI as a key enabler of remote creativity and content automation. Spurred by limitations on live production and physical collaboration, companies turned to AI to simulate, animate, and localize content virtually.Backed by the shift to digital-first marketing and e-commerce, demand for AI-powered visuals and copywriting surged. Motivated by these changes, the post-pandemic era has embraced generative AI as a core component of creative pipelines.

The image & video generative modelssegment is expected to be the largest during the forecast period

The image & video generative modelssegment is expected to account for the largest market share during the forecast period,propelled by surging adoption in design, marketing, entertainment, and simulation industries. Driven by open-source tools and foundation models such as DALL-E and Runway ML, the technology is now accessible to both enterprises and independent creators. Backed by scalable cloud infrastructure and GPU acceleration, rendering and inference processes are becoming faster and more economical. Guided by advancements in image fidelity and prompt engineering, image & video generation remains a dominant use case.

The generative adversarial networks (GANs) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the generative adversarial networks (GANs) segment is predicted to witness the highest growth rate, influenced bytheir unmatched capabilities in generating photorealistic outputs. Driven by academic research and industrial experimentation, GANs continue to evolve through innovations like StyleGAN and CycleGAN. Backed by rising investment from tech giants and research labs, GAN-based architectures are being refined for higher accuracy and control. Motivated by the need to simulate real-world scenarios digitally, the segment is poised for substantial expansion.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, fuelled byaggressive digital transformation initiatives and rising investment in AI infrastructure. Driven by the presence of major tech players in China, South Korea, and Japan, the region is leading in both generative AI research and commercialization.Backed by robust government support for AI development, including funding and policy frameworks, regional adoption is accelerating.Motivated by the demand for scalable content generation in gaming, e-learning, and retail, Asia Pacific continues to dominate in generative AI deployment.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven bystrong R&D investments, commercial deployments, and a dense concentration of AI innovators. Propelled by widespread enterprise adoption in sectors like media, healthcare, and finance, generative AI is scaling rapidly. Spurred by venture capital backing and IPO activity, several generative AI firms have expanded from prototype to mainstream adoption. Backed by increasing enterprise cloud migration and demand for automation, North America is emerging as a global growth engine in generative AI.

Key players in the market

Some of the key players in Generative AI Market include NVIDIA, Adobe, Amazon Web Services (AWS), Autodesk, Baidu, Google LLC, IBM, Lighttricks, Meta, Microsoft, Synthesis AI, SAP SE, Accenture, Rephrase.ai, Genie AI Ltd., MOSTLY AI Inc., and D-ID.

Key Developments:

In June 2025, NVIDIA launched an advanced generative AI platform for real-time content creation. Leveraging GPU technology, it enables creative industries to produce high-quality graphics and videos, streamlining workflows and enhancing productivity.

In April 2025, Amazon Web Services unveiled a generative AI service for automated content generation. It supports e-commerce and marketing, creating personalized content to enhance customer engagement and streamline campaign production processes.

In March 2025, Autodesk launched a generative AI tool for automated 3D modeling. It optimizes design processes in architecture and engineering, enabling faster, more efficient creation of complex models with AI-driven insights.

Components Covered:

  • Software
  • Service

Models Covered:

  • Large Language Models
  • Image & Video Generative Models
  • Multi-modal Generative Models
  • Other Models

Customers Covered:

  • Model Builders
  • App Builders

Technologies Covered:

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

Applications Covered:

  • Computer Vision
  • NLP
  • Robotics & Automation
  • Content Generation
  • Chatbots & Intelligent Virtual Assistants
  • Predictive Analytics
  • Other Applications

End Users Covered:

  • Media & Entertainment
  • BFSI
  • IT & Telecommunication
  • Healthcare
  • Automotive & Transportation
  • Gaming
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Generative AI Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Service

6 Global Generative AI Market, By Model

  • 6.1 Introduction
  • 6.2 Large Language Models
  • 6.3 Image & Video Generative Models
  • 6.4 Multi-modal Generative Models
  • 6.5 Other Models

7 Global Generative AI Market, By Customer

  • 7.1 Introduction
  • 7.2 Model Builders
  • 7.3 App Builders

8 Global Generative AI Market, By Technology

  • 8.1 Introduction
  • 8.2 Generative Adversarial Networks (GANs)
  • 8.3 Transformers
  • 8.4 Variational Auto-encoders
  • 8.5 Diffusion Networks

9 Global Generative AI Market, By Application

  • 9.1 Introduction
  • 9.2 Computer Vision
  • 9.3 NLP
  • 9.4 Robotics & Automation
  • 9.5 Content Generation
  • 9.6 Chatbots & Intelligent Virtual Assistants
  • 9.7 Predictive Analytics
  • 9.8 Other Applications

10 Global Generative AI Market, By End User

  • 10.1 Introduction
  • 10.2 Media & Entertainment
  • 10.3 BFSI
  • 10.4 IT & Telecommunication
  • 10.5 Healthcare
  • 10.6 Automotive & Transportation
  • 10.7 Gaming
  • 10.8 Other End Users

11 Global Generative AI Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 NVIDIA
  • 13.2 Adobe
  • 13.3 Amazon Web Services (AWS)
  • 13.4 Autodesk
  • 13.5 Baidu
  • 13.6 Google LLC
  • 13.7 IBM
  • 13.8 Lighttricks
  • 13.9 Meta
  • 13.10 Microsoft
  • 13.11 Synthesis AI
  • 13.12 SAP SE
  • 13.13 Accenture
  • 13.14 Rephrase.ai
  • 13.15 Genie AI Ltd.
  • 13.16 MOSTLY AI Inc.
  • 13.17 D-ID

List of Tables

  • 1 Global Generative AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 1 Global Generative AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Generative AI Market Outlook, By Region Component (2024-2032) ($MN)
  • Table 3 Global Generative AI Market Outlook, By Region Software (2024-2032) ($MN)
  • Table 4 Global Generative AI Market Outlook, By Region Service (2024-2032) ($MN)
  • Table 5 Global Generative AI Market Outlook, By Region Model (2024-2032) ($MN)
  • Table 6 Global Generative AI Market Outlook, By Region Large Language Models (2024-2032) ($MN)
  • Table 7 Global Generative AI Market Outlook, By Region Image & Video Generative Models (2024-2032) ($MN)
  • Table 8 Global Generative AI Market Outlook, By Region Multi-modal Generative Models (2024-2032) ($MN)
  • Table 9 Global Generative AI Market Outlook, By Region Other Models (2024-2032) ($MN)
  • Table 10 Global Generative AI Market Outlook, By Region Customer (2024-2032) ($MN)
  • Table 11 Global Generative AI Market Outlook, By Region Model Builders (2024-2032) ($MN)
  • Table 12 Global Generative AI Market Outlook, By Region App Builders (2024-2032) ($MN)
  • Table 13 Global Generative AI Market Outlook, By Region Technology (2024-2032) ($MN)
  • Table 14 Global Generative AI Market Outlook, By Region Generative Adversarial Networks (GANs) (2024-2032) ($MN)
  • Table 15 Global Generative AI Market Outlook, By Region Transformers (2024-2032) ($MN)
  • Table 16 Global Generative AI Market Outlook, By Region Variational Auto-encoders (2024-2032) ($MN)
  • Table 17 Global Generative AI Market Outlook, By Region Diffusion Networks (2024-2032) ($MN)
  • Table 18 Global Generative AI Market Outlook, By Region Application (2024-2032) ($MN)
  • Table 19 Global Generative AI Market Outlook, By Region Computer Vision (2024-2032) ($MN)
  • Table 20 Global Generative AI Market Outlook, By Region NLP (2024-2032) ($MN)
  • Table 21 Global Generative AI Market Outlook, By Region Robotics & Automation (2024-2032) ($MN)
  • Table 22 Global Generative AI Market Outlook, By Region Content Generation (2024-2032) ($MN)
  • Table 23 Global Generative AI Market Outlook, By Region Chatbots & Intelligent Virtual Assistants (2024-2032) ($MN)
  • Table 24 Global Generative AI Market Outlook, By Region Predictive Analytics (2024-2032) ($MN)
  • Table 25 Global Generative AI Market Outlook, By Region Other Applications (2024-2032) ($MN)
  • Table 26 Global Generative AI Market Outlook, By Region End User (2024-2032) ($MN)
  • Table 27 Global Generative AI Market Outlook, By Region Media & Entertainment (2024-2032) ($MN)
  • Table 28 Global Generative AI Market Outlook, By Region BFSI (2024-2032) ($MN)
  • Table 29 Global Generative AI Market Outlook, By Region IT & Telecommunication (2024-2032) ($MN)
  • Table 30 Global Generative AI Market Outlook, By Region Healthcare (2024-2032) ($MN)
  • Table 31 Global Generative AI Market Outlook, By Region Automotive & Transportation (2024-2032) ($MN)
  • Table 32 Global Generative AI Market Outlook, By Region Gaming (2024-2032) ($MN)
  • Table 33 Global Generative AI Market Outlook, By Region Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.