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市场调查报告书
商品编码
1776779

2032 年生成式人工智慧市场预测：按组件、模型、客户、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球生成式人工智慧市场预计在 2025 年达到 853 亿美元，到 2032 年将达到 8,819 亿美元，预测期内的复合年增长率为 39.6%。

生成式人工智慧 (Generative AI) 是一种人工智慧系统，旨在创建与其训练资料类似的新资料输出。这些系统使用能够学习资料底层结构和模式的模型，然后产生原始内容，例如文字、图像或程式码。与对结果进行分类或预测的判别式模型不同，生成式模型旨在产生与训练输入在统计上匹配的新合成资料。

据行业专家称，2023年，87%的用户认为对话式人工智慧/聊天机器人将有助于提高他们的整体工作效率。

数位媒体和娱乐的成长

数位媒体平台和内容主导经营模式的扩张，推动了动画、游戏设计和虚拟製作领域对生成式人工智慧解决方案的需求。为了大规模产生引人入胜的超现实内容，工作室和创作者正在采用人工智慧模型来加快製作週期。在元宇宙倡议和数位化身激增的支持下，生成式人工智慧已成为下一代媒体生态系统的核心。在成本效益和内容在地化需求的驱动下，娱乐产业持续将生成式人工智慧融入其工作流程。

缺乏法律规范

缺乏对人工智慧生成内容的清晰统一监管，令行业相关人员感到营运上的不确定性和道德困境。围绕着版权所有权、使用者同意以及深度造假伪造滥用等不断演变的问题，导致许多组织犹豫是否要全面采用生成式人工智慧工具。由于对假讯息和品牌安全的担忧，监管漏洞正在侵蚀信任，并阻碍创新。在透明使用政策和审核机制需求的推动下，企业正在呼吁建立一个平衡的框架，以保护创造力和课责。

与其他AI应用程式集成

将生成式人工智慧与自然语言处理 (NLP)、建议引擎和电脑视觉等互补技术相结合，开启了自动化和洞察的新维度。这种整合使企业能够建立情境感知的虚拟代理，自动产生合成资料集，并增强视觉搜寻功能。生成式人工智慧正超越独立工具的范畴，这主要体现在企业级设计、内容创建和原型製作中人工智慧的应用。在开发者友善的 API 和开放原始码框架的支援下，整个人工智慧堆迭的整合正在迅速扩展。

滥用以产生误导性内容

生成式人工智慧能够创造超逼真的文字、音讯和视觉效果，这引发了人们对其操纵舆论和欺骗消费者潜力的担忧。在政治虚假资讯宣传活动和诈骗媒体的推动下，生成模型的恶意使用威胁着公众信任和数完整性。由于访问门槛低、可追溯性低，深度造假和合成内容在社交平臺上氾滥。在全球审查力度加大的推动下，对负责任的部署和数位浮水印标准的呼声日益高涨。

COVID-19的影响：

新冠疫情显着加速了数位工具的普及，并将生成式人工智慧定位为远端创意和内容自动化的关键推动力。向数位优先的营销和电子商务的转变，导致对人工智慧驱动的视觉效果和文案的需求激增。这些变化推动了生成式人工智慧成为后疫情时代创新流程的核心要素。

图像和影片生成模型预计将成为预测期内最大的细分市场

预计在预测期内，图像和影片生成模型领域将占据最大的市场占有率，这得益于设计、行销、娱乐和模拟行业应用的激增。在开放原始码工具和 DALL-E 和 Runway ML 等基础模型的推动下，企业和独立创作者如今都可以使用该技术。在可扩展云端基础架构和 GPU 加速的支援下，渲染和推理过程正变得更快、更经济。受影像保真度和快速工程技术的推动，影像和视讯生成仍然是主要的用例。

预计生成对抗网路 (GAN) 部分在预测期内将以最高的复合年增长率成长。

生成对抗网路 (GAN) 领域预计将在预测期内实现最高成长率，这得益于其无与伦比的生成逼真输出的能力。在学术研究和工业实验的推动下，GAN 透过 StyleGAN 和 CycleGAN 等创新不断发展。在科技巨头和研究机构不断增加的投资支援下，基于 GAN 的架构正在不断改进，以提高准确性和可控性。在数位化模拟真实场景的需求的推动下，该领域有望大幅扩张。

占比最高的地区：

由于积极的数位转型努力和对人工智慧基础设施投资的不断增加，预计亚太地区将在预测期内占据最大的市场占有率。在中国、韩国和日本领先科技公司的推动下，该地区在生成式人工智慧的研究和商业化方面均处于领先地位。政府对人工智慧发展的大力支持，包括资金筹措和政策框架，正在加速该地区的人工智慧应用。受游戏、数位学习和零售业对可扩展内容生成需求的推动，亚太地区在生成式人工智慧部署方面保持了主导地位。

复合年增长率最高的地区：

预计北美地区在预测期内将呈现最高的复合年增长率，这得益于强劲的研发投入、商业部署以及人工智慧创新者的高度集中。受媒体、医疗保健和金融等行业企业广泛采用的推动，生成式人工智慧正在迅速扩张。在创业投资支援和IPO活动的推动下，多家生成式人工智慧公司已从原型阶段发展成为主流应用。在企业云端迁移和自动化需求不断增长的推动下，北美正成为生成式人工智慧的全球成长引擎。

免费客製化服务：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球生成式人工智慧市场（按组件划分）

  • 软体
  • 服务

第六章：全球生成式人工智慧市场（按模型）

  • 大规模语言模型
  • 影像和影片的生成模型
  • 多模态生成模型
  • 其他型号

7. 全球生成人工智慧市场（按客户）

  • 模型建构器
  • 应用程式建构器

8. 全球生成式人工智慧市场（按技术）

  • 生成对抗网路（GAN）
  • 变压器
  • 变分自动编码器
  • 扩散网络

第九章：全球生成人工智慧市场（按应用）

  • 电脑视觉
  • NLP
  • 机器人与自动化
  • 内容生成
  • 聊天机器人和智慧虚拟助理
  • 预测分析
  • 其他用途

第 10 章：全球生成式人工智慧市场（按最终用户划分）

  • 媒体与娱乐
  • BFSI
  • 资讯科技/通讯
  • 卫生保健
  • 汽车和运输
  • 游戏
  • 其他最终用户

第 11 章：全球生成式人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • 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.