AI 影像产生器市场规模、份额、成长分析、按模型类型、按部署模式、按应用、按最终用户、按地区、行业预测（2025-2032 年）

全球人工智慧影像产生器市场规模预计在 2023 年达到 18 亿美元，到 2032 年将达到 226.6 亿美元，预计在预测期内（2025-2032 年）的复合年增长率为 32.5%。

零售和电商领域正越来越多地利用人工智慧技术来提高业务效率并提升客户体验。人工智慧图像生成器正在彻底改变零售商创建客製化产品图像的方式，在确保高品质和一致性的同时简化创作流程。这项创新不仅降低了成本、缩短时间，还根据消费者偏好个人化视觉效果，从而提高了参与度和转换率。例如，Appy Pie 于 2024 年 4 月推出了一款新颖的人工智慧图像生成器，可将文字转换为醒目的图像。此外，全球电商市场的扩张推动了对无缝线上体验的需求，进一步推动了人工智慧图像产生器在增强创造力和优化数位行销策略方面的应用。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 二次资料和一次资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态与展望

• 市场概览
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2024年）
• PESTEL分析
• 总体经济指标
• 价值链分析
• 定价分析
• 监管格局
• 使用案例
• 技术分析

人工智慧影像产生器市场规模（按模型类型和复合年增长率）（2025-2032）

• 市场概览
• 生成对抗网路（GAN）
• 变分自编码器（VAE）
• 扩散模型
• 变压器基础模型

人工智慧影像产生器市场规模（按部署模式和复合年增长率） (2025-2032)

• 市场概览
• 云端基础
• 本地

AI 影像产生器市场规模（按应用和复合年增长率）(2025-2032)

• 市场概览
• 广告和行销
• 娱乐和媒体
• 电子商务与零售
• 游戏
• 医疗保健和医学影像
• 其他的

AI 影像产生器市场规模（依最终用户和复合年增长率）(2025-2032)

• 市场概览
• 小型企业
• 大公司
• 个人创作者

AI 影像产生器市场规模及复合年增长率（2025-2032）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市场占有率分析（2024年）
• 主要企业简介
  • 公司详情
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较比较（2022-2024 年）

    主要企业简介

    • OpenAI（美国）
    • 稳定性人工智慧（英国）
    • 中途旅程（美国）
    • Google DeepMind（美国）
    • NVIDIA公司（美国）
    • Adobe公司（美国）
    • 微软公司（美国）
    • 拥抱的脸（美国）
    • 跑道（美国）
    • IBM公司（美国）
    • 百度公司（中国）
    • 阿里巴巴集团（中国）
    • 商汤科技集团（中国）
    • 腾讯控股有限公司（中国）
    • Meta Platforms, Inc.（美国）
    • 亚马逊网路服务（美国）
    • 高通公司（美国）
    • Picsart（美国）
    • Canva（澳洲）
    • DeepArt.io（德国）

结论和建议

Global AI Image Generator Market size was valued at USD 1.8 billion in 2023 and is poised to grow from USD 2.38 billion in 2024 to USD 22.66 billion by 2032, growing at a CAGR of 32.5% during the forecast period (2025-2032).

The retail and e-commerce sectors are increasingly leveraging AI technology to enhance operational efficiency and elevate customer experiences. AI image generators are revolutionizing the way retailers produce customized product images, streamlining the creation process while ensuring high quality and consistency. This innovation not only reduces costs and saves time but also personalizes visuals according to consumer preferences, driving higher engagement and conversion rates. Strategic initiatives are at the forefront as companies adapt to these advancements; for example, Appy Pie introduced a novel AI image generator in April 2024 that transforms text into striking images. Furthermore, the expanding global e-commerce market is intensifying demand for seamless online experiences, further promoting the utilization of AI image generators to boost creativity and optimize digital marketing strategies.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI Image Generator market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI Image Generator Market Segments Analysis

Global AI Image Generator Market is segmented by Model Type, Deployment Mode, Application, End-User and region. Based on Model Type, the market is segmented into Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models and Transformer-based Models. Based on Deployment Mode, the market is segmented into Cloud-based and On-premises. Based on Application, the market is segmented into Advertising & Marketing, Entertainment & Media, E-commerce & Retail, Gaming, Healthcare & Medical Imaging and Others. Based on End-User, the market is segmented into SMEs, Large Enterprises and Individual Creators. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI Image Generator Market

The Global AI Image Generator market is experiencing significant growth as businesses increasingly leverage captivating visual content across various digital platforms, including advertising, e-commerce, gaming, and news. This trend is fueled by the rapid creation and cost efficiency that AI image generators offer, enabling companies to produce high-quality, customizable images with ease. The reduced reliance on conventional design resources facilitates faster and more effective content creation, making these tools particularly appealing to small and medium-sized enterprises (SMEs) and individual creators. The demand for engaging visuals is driving the widespread adoption and integration of AI image generation technologies in various industries.

Restraints in the Global AI Image Generator Market

A significant challenge facing the global AI image generator market is the legal ambiguity surrounding image ownership and the use of copyrighted training data. Photographers and artists have raised alarms about AI systems being developed using unauthorized content. Additionally, there are growing regulatory concerns related to ethical issues, particularly around the creation of deepfake images and the potential spread of disinformation. This is especially pronounced in jurisdictions with stringent regulations, such as the European Union, where there are heightened fears about the implications of AI-generated images. These factors create obstacles that could hinder the growth and acceptance of AI image generation technologies.

Market Trends of the Global AI Image Generator Market

The Global AI Image Generator market is experiencing a significant trend towards integration with e-commerce platforms and marketing sites, exemplified by major players like Shopify, Adobe Creative Suite, and Canva, who are rapidly incorporating AI image creation capabilities. This integration empowers users to effortlessly generate digital assets such as ad visuals and product images while maintaining their existing workflows. By leveraging APIs, these platforms are streamlining the content creation process, drastically reducing time investment and boosting productivity. Additionally, this trend democratizes access to sophisticated AI tools, making them accessible to non-technologists and fostering innovation across various industries.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Regulatory Landscape
• Case Studies
• Technological Analysis

Global AI Image Generator Market Size by Model Type & CAGR (2025-2032)

• Market Overview
• Generative Adversarial Networks (GANs)
• Variational Autoencoders (VAEs)
• Diffusion Models
• Transformer-based Models

Global AI Image Generator Market Size by Deployment Mode & CAGR (2025-2032)

• Market Overview
• Cloud-based
• On-premises

Global AI Image Generator Market Size by Application & CAGR (2025-2032)

• Market Overview
• Advertising & Marketing
• Entertainment & Media
• E-commerce & Retail
• Gaming
• Healthcare & Medical Imaging
• Others

Global AI Image Generator Market Size by End-User & CAGR (2025-2032)

• Market Overview
• SMEs
• Large Enterprises
• Individual Creators

Global AI Image Generator Market Size & CAGR (2025-2032)

• North America (Model Type, Deployment Mode, Application, End-User)
  • US
  • Canada
• Europe (Model Type, Deployment Mode, Application, End-User)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Model Type, Deployment Mode, Application, End-User)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Model Type, Deployment Mode, Application, End-User)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Model Type, Deployment Mode, Application, End-User)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• OpenAI (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Stability AI (U.K.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Midjourney (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google DeepMind (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Adobe Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hugging Face (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Runway (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Baidu, Inc. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alibaba Group (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SenseTime Group (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tencent Holdings Ltd. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Meta Platforms, Inc. (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm Incorporated (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Picsart (U.S.)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Canva (Australia)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DeepArt.io (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations