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封面
市场调查报告书
商品编码
1636780

到 2030 年 AI 影像产生器市场预测：按产品、部署类型、技术、最终用户和地区进行的全球分析

AI Image Generator Market Forecasts to 2030 - Global Analysis By Product (Text-to-Image Generators, Image Enhancement and Editing Tools, Style Transfer Tools and Other Products), Deployment Type, Technology, 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，2024 年人工智慧影像产生器的全球市值将达到 4.184 亿美元，预计到 2030 年将达到 12.309 亿美元，在预测期内复合年增长率为 19.7%。

AI 图像生成器是一种使用人工智慧，特别是 GAN（生成对抗网路）和扩散模型等机器学习模型，根据文字提示和其他输入创建图像的技术。这些系统可以透过分析大型图像资料并学习模式、风格和视觉构成，根据使用者规格生成现实的、艺术的或抽象的视觉效果。 AI 图像生成器用于设计、行销、游戏和娱乐等产业，可有效产生自订视觉效果。它支援创新表达、快速原型製作和内容生成，使其成为专业人士和业余业余爱好者的强大工具。

根据图片搜寻引擎Everypixel发布的报告，到2023年8月，人工智慧产生的图像将创建近155亿张，每天大约会创建3400万张新的人工智慧生成图像。

对数位内容的需求不断增长

企业和创作者需要高品质的广告、社群媒体和品牌视觉效果，并且对快速、经济高效的内容解决方案的需求正在激增。 AI 影像产生器提供了一种可扩展的方式来创建独特且可自订的视觉效果，而无需昂贵的图形设计工具或团队。该技术支援那些重视视觉吸引力内容的行业，例如电子商务、游戏和娱乐。此外，行销个人化的兴起正在推动对根据特定受众偏好量身定制的人工智慧生成图像的需求。因此，人工智慧影像产生器正在成为数位内容生态系统中的重要工具。

初始投资高

开发先进的人工智慧模型需要大量的研究、技术人员和运算资源，这对许多组织来说可能是望而却步的。此外，与 GPU 和资料储存基础架构等高效能硬体相关的成本进一步加剧了财务负担。公司在取得大型资料和遵守资料隐私法规方面也面临挑战，这会增加成本。这种财务负担限制了财力雄厚的公司的市场，并减少了竞争和创新。因此，高成本减缓了人工智慧影像生成设备在各行业的采用，阻碍了整体市场的成长。

与AR/VR技术集成

AI 影像产生器可创造逼真的虚拟环境和对象，以提高游​​戏、教育和培训中 AR/VR 应用的品质。这些技术允许用户即时生成和修改 3D 资产，从而提高创造力和客製化。企业利用这种整合进行虚拟试穿、产品视觉化和互动式广告，以提高客户参与。 AI 影像产生器与 AR/VR 之间的协同效应减少了开发时间和成本，并使进阶模拟变得更加容易。总体而言，这种组合正在推动创新并吸引产业采用人工智慧驱动的 AR/VR 解决方案。

与传统创新方法的竞争

与手绘插图和照片等传统创新方法的竞争是一个问题。这些技术可以实现人工智慧生成的图像难以再现的独特表达和细微差别。此外，对传统方法和既定工作流程的熟悉会对采用人工智慧工具产生阻力。虽然人工智慧提供了速度和效率，但它往往缺乏传统方法为计划带来的情感深度和原创性。因此，传统的创新方法在视觉艺术市场上仍然是强而有力的竞争者。

COVID-19 的影响

COVID-19 大流行对人工智慧影像产生器市场产生了重大影响，并随着企业和个人转向数位解决方案而加速了其成长。封锁和远端工作增加了行销、游戏和娱乐等行业对数位内容创作的需求。人工智慧驱动的工具对于快速、经济高效且无需使用实体资源产生视觉效果至关重要。然而，全球供应链中断和经济不确定性暂时阻碍了市场扩张。这场大流行也凸显了道德问题，例如错误讯息和滥用人工智慧产生的内容。即使在大流行之后，由于人工智慧技术的进步以及虚拟和扩增实境应用程式的采用增加，市场仍在继续成长。

预计风格转换工具细分市场在预测期内将是最大的

由于车辆美观度的提高以及更快、更有效率的设计流程，预计风格转换工具领域将在预测期内占据最大的市场占有率。 AI 影像生成器使设计人员能够可视化概念并即时迭代设计，从而提高创造力并缩短开发时间。此外，汽车产业正在利用人工智慧创建真实的虚拟环境，增强驾驶员辅助系统，并模拟真实场景进行测试。在设计领域，人工智慧驱动的图像生成使平面设计师、建筑师和产品设计师能够探索独特和创新的想法，加速创造性过程。随着人工智慧技术的不断进步，这两个产业将更加依赖人工智慧主导的影像生成来实现创新和效率。

预计汽车和设计产业在预测期内的复合年增长率最高

由于在产品设计和开发中采用先进的视觉技术，预计汽车和设计行业在预测期内的复合年增长率最高。在汽车产业，人工智慧图像产生器有助于创建车辆原型和内部布局的逼真视觉化，从而加快设计过程。这些工具还可以帮助製造商进行行销，使他们能够创建高品质的客製化广告图像。在设计领域，人工智慧影像产生器为设计师提供了一种创新的方式来视觉化概念并减少在初始草图上花费的时间。此外，随着这些领域的不断创新，对人工智慧图像生成工具的需求预计将增长，推动市场进一步扩张。

比最大的地区

由于人工智慧、机器学习和深度学习技术的进步，预计亚太地区在预测期内将占据最大的市场占有率。中国、日本、印度和韩国等国家处于人工智慧发展的前沿，将图像生成工具融入娱乐、广告、医疗保健和设计等领域。对创新内容不断增长的需求，加上该地区高科技产业的蓬勃发展，正在推动市场成长。此外，人工智慧驱动的工具提供高效且经济高效的解决方案来提高生产力。政府投资和对跨行业人工智慧驱动创新的日益关注也支持了市场的潜力。

复合年增长率最高的地区：

由于机器学习、深度学习和人工智慧技术的进步，预计北美在预测期内将出现最高的复合年增长率。娱乐、广告、游戏和电子商务等行业越来越多地采用人工智慧图像生成器工具来创建逼真的视觉效果、增强客户参与并简化内容创建。企业正在投资创新解决方案，以满足对个人化、高品质影像不断增长的需求。此外，社群媒体和数位行销的兴起进一步推动了市场成长，品牌利用人工智慧主导的图像来有效讲述故事。北美仍然是推动人工智慧图像生成技术研究、开发和商业化的领先中心。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场公司的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 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
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球人工智慧图像产生器市场：按产品

  • 文字到图像生成器
  • 影像校正/编辑工具
  • 风格传输工具
  • 影像超高解析度工具
  • AI驱动的创新平台
  • 其他产品

第六章全球人工智慧影像产生器市场：按部署类型

  • 云端基础的AI图像生成器
  • 本地 AI 影像产生器

第七章全球人工智慧影像产生器市场：依技术分类

  • 深度学习
  • 机器学习
  • 生成对抗网路（GAN）
  • 卷积类神经网路（CNN）
  • 循环神经网路 (RNN)
  • 其他技术

第八章全球人工智慧图像生成器市场：按最终用户分类

  • 广告/行销
  • 娱乐媒体
  • 电子商务
  • 医疗保健/医学影像
  • 时尚/服饰
  • 游戏/虚拟现实
  • 汽车/设计
  • 建筑/都市规划
  • 教育
  • 艺术与创新产业
  • 其他最终用户

第九章全球人工智慧影像产生器市场：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/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东/非洲

第10章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 公司概况

  • OpenAI
  • Midjourney
  • Adobe
  • Stability AI
  • Canva
  • Microsoft
  • RunwayML
  • Google
  • Meta
  • xAI
  • Black Forest Labs
  • Ideogram
  • Anthropic
  • Amazon
  • NVIDIA
  • DeepAI
  • Prisma Labs
Product Code: SMRC28422

According to Stratistics MRC, the Global AI Image Generator Market is accounted for $418.4 million in 2024 and is expected to reach $1230.9 million by 2030 growing at a CAGR of 19.7% during the forecast period. An AI Image Generator is a technology that uses artificial intelligence, particularly machine learning models like GANs (Generative Adversarial Networks) or diffusion models, to create images from text prompts or other inputs. These systems analyze vast datasets of images to learn patterns, styles, and visual compositions, enabling them to generate realistic, artistic, or abstract visuals based on user specifications. AI image generators are used in industries like design, marketing, gaming, and entertainment to produce custom visuals efficiently. They enable creative expression, rapid prototyping, and content generation, making them a powerful tool for professionals and hobbyists alike.

According to a report published by Stock image search engine Everypixel, nearly 15.5 billion AI-generated images have been created up to August 2023, with roughly 34 million new AI-generated images generated daily.

Market Dynamics:

Driver:

Increasing demand for digital content

Businesses and creators require high-quality visuals for advertising, social media, and branding, creating a surge in demand for quick and cost-effective content solutions. AI image generators provide a scalable way to produce unique, customizable visuals without the need for expensive graphic design tools or teams. This technology caters to industries like e-commerce, gaming, and entertainment, where visually appealing content is crucial. Additionally, the rise of personalization in marketing amplifies the need for AI-generated imagery tailored to specific audience preferences. As a result, AI image generators are becoming indispensable tools in the digital content ecosystem.

Restraint:

High initial investment

The development of advanced AI models requires substantial funding for research, skilled talent, and computational resources, which can be prohibitive for many organizations. Additionally, the costs associated with high-performance hardware, such as GPUs and data storage infrastructure, further escalate the financial burden. Companies also face challenges in acquiring large datasets and maintaining compliance with data privacy regulations, which add to the expenses. This financial strain limits the market to well-funded enterprises, reducing competition and innovation. Consequently, the high cost slows the adoption of AI image generators across diverse industries, impeding overall market growth.

Opportunity:

Integration with AR/VR technologies

AI-driven image generators create realistic virtual environments and objects, elevating the quality of AR/VR applications in gaming, education, and training. These technologies allow users to generate and modify 3D assets in real time, fostering creativity and customization. Businesses leverage this integration for virtual try-ons, product visualization, and interactive advertising, boosting customer engagement. The synergy between AI image generation and AR/VR reduces development time and costs, making advanced simulations more accessible. Overall, the combination drives innovation, attracting industries to adopt AI-powered AR/VR solutions.

Threat:

Competition from traditional creative methods

Competition from traditional creative methods, such as manual illustration and photography, presents a challenge, these methods allow for unique expressions and nuances that AI-generated images may struggle to replicate. Additionally, the familiarity and established workflow of traditional techniques create resistance to adopting AI tools. While AI offers speed and efficiency, it often lacks the emotional depth and originality that traditional methods can bring to a project. As a result, traditional creative methods remain a strong competitor in the visual arts market.

Covid-19 Impact

The Covid-19 pandemic significantly impacted the AI image generator market, accelerating its growth as businesses and individuals shifted to digital solutions. Lockdowns and remote work boosted demand for digital content creation in industries like marketing, gaming, and entertainment. AI-powered tools became essential for generating visuals quickly, cost-effectively, and without physical resources. However, disruptions in global supply chains and economic uncertainty temporarily hindered market expansion. The pandemic also highlighted ethical concerns, such as misinformation and misuse of AI-generated content. Post-pandemic, the market continues to grow, driven by advancements in AI technology and the rising adoption of virtual and augmented reality applications.

The style transfer tools segment is expected to be the largest during the forecast period

The style transfer tools segment is expected to account for the largest market share during the forecast period, due to enhanced vehicle aesthetics, offering faster and more efficient design processes. AI image generators enable designers to visualize concepts and iterate on designs in real time, improving creativity and reducing development time. Additionally, the automotive industry utilizes AI for creating realistic virtual environments, enhancing driver assistance systems, and simulating real-world scenarios for testing. In the design world, AI image generation empowers graphic designers, architects, and product designers to explore unique and innovative ideas, speeding up the creative process. As AI technology continues to advance, both industries will rely more on AI-driven image generation for innovation and efficiency.

The automotive and design segment is expected to have the highest CAGR during the forecast period

The automotive and design segment is anticipated to witness the highest CAGR during the forecast period, by integrating advanced visual technologies into product design and development. In the automotive industry, AI image generators assist in creating realistic visualizations of vehicle prototypes and interior layouts, speeding up the design process. These tools also help manufacturers in marketing, enabling them to produce high-quality, customized imagery for advertisements. For the design sector, AI image generators provide designers with innovative ways to visualize concepts, reducing the time spent on initial sketches. Moreover, as these sectors continue to innovate, the demand for AI-powered image generation tools is expected to grow, fostering further market expansion.

Region with largest share:

Asia Pacific is expected to hold the largest market share during the forecast period by advancements in artificial intelligence, machine learning, and deep learning technologies. Countries like China, Japan, India, and South Korea are at the forefront of AI development, integrating image generation tools into sectors such as entertainment, advertising, healthcare, and design. The growing demand for creative content, coupled with the region's booming tech industry, drives market growth. Additionally, AI-powered tools offer efficient and cost-effective solutions, enhancing productivity. The market's potential is also boosted by government investments and an increasing focus on AI-driven innovation across various industries.

Region with highest CAGR:

North America is expected to have the highest CAGR over the forecast period, owing to advancements in machine learning, deep learning, and artificial intelligence technologies. Industries such as entertainment, advertising, gaming, and e-commerce are increasingly adopting AI image generation tools to create realistic visuals, enhance customer engagement, and streamline content creation. Companies are investing in innovative solutions to meet the growing demand for personalized and high-quality imagery. Additionally, the rise of social media and digital marketing further boosts market growth, as brands leverage AI-driven imagery for effective storytelling. North America remains a dominant hub, fostering research, development, and commercialization of AI image generation technologies.

Key players in the market

Some of the key players profiled in the AI Image Generator Market include OpenAI, Midjourney, Adobe, Stability AI, Canva, Microsoft, RunwayML, Google, Meta, xAI, Black Forest Labs, Ideogram, Anthropic, Amazon, NVIDIA, DeepAI and Prisma Labs.

Key Developments:

In December 2024, OpenAI announced a partnership with Conde Nast, which includes access to over 200 media brands such as Wired and Vogue. This collaboration aims to enhance content creation using OpenAI's technology.

In October 2024, Adobe introduced significant updates to its Firefly family of generative AI models. This includes the Firefly Video Model (beta) and enhancements to the Firefly Image 3 Model, which generates images four times faster than previous versions.

In March 2024, Adobe announced a partnership with Microsoft to integrate Adobe Experience Cloud workflows with Microsoft Copilot. This collaboration aims to enhance generative AI capabilities for marketers, fostering increased collaboration and efficiency within Microsoft 365 applications.

Products Covered:

  • Text-to-Image Generators
  • Image Enhancement and Editing Tools
  • Style Transfer Tools
  • Image Super-Resolution Tools
  • AI-Driven Creative Platforms
  • Other Products

Deployment Types Covered:

  • Cloud-based AI Image Generators
  • On-premise AI Image Generators

Technologies Covered:

  • Deep Learning
  • Machine Learning
  • Generative Adversarial Networks (GANs)
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Other Technologies

End Users Covered:

  • Advertising and Marketing
  • Entertainment and Media
  • E-commerce
  • Healthcare and Medical Imaging
  • Fashion and Apparel
  • Gaming and Virtual Reality
  • Automotive and Design
  • Architecture and Urban Planning
  • Education
  • Art and Creative Industries
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Product Analysis
  • 3.7 Technology 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 AI Image Generator Market, By Product

  • 5.1 Introduction
  • 5.2 Text-to-Image Generators
  • 5.3 Image Enhancement and Editing Tools
  • 5.4 Style Transfer Tools
  • 5.5 Image Super-Resolution Tools
  • 5.6 AI-Driven Creative Platforms
  • 5.7 Other Products

6 Global AI Image Generator Market, By Deployment Type

  • 6.1 Introduction
  • 6.2 Cloud-based AI Image Generators
  • 6.3 On-premise AI Image Generators

7 Global AI Image Generator Market, By Technology

  • 7.1 Introduction
  • 7.2 Deep Learning
  • 7.3 Machine Learning
  • 7.4 Generative Adversarial Networks (GANs)
  • 7.5 Convolutional Neural Networks (CNNs)
  • 7.6 Recurrent Neural Networks (RNNs)
  • 7.7 Other Technologies

8 Global AI Image Generator Market, By End User

  • 8.1 Introduction
  • 8.2 Advertising and Marketing
  • 8.3 Entertainment and Media
  • 8.4 E-commerce
  • 8.5 Healthcare and Medical Imaging
  • 8.6 Fashion and Apparel
  • 8.7 Gaming and Virtual Reality
  • 8.8 Automotive and Design
  • 8.9 Architecture and Urban Planning
  • 8.10 Education
  • 8.11 Art and Creative Industries
  • 8.12 Other End Users

9 Global AI Image Generator Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 OpenAI
  • 11.2 Midjourney
  • 11.3 Adobe
  • 11.4 Stability AI
  • 11.5 Canva
  • 11.6 Microsoft
  • 11.7 RunwayML
  • 11.8 Google
  • 11.9 Meta
  • 11.10 xAI
  • 11.11 Black Forest Labs
  • 11.12 Ideogram
  • 11.13 Anthropic
  • 11.14 Amazon
  • 11.15 NVIDIA
  • 11.16 DeepAI
  • 11.17 Prisma Labs

List of Tables

  • Table 1 Global AI Image Generator Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global AI Image Generator Market Outlook, By Product (2022-2030) ($MN)
  • Table 3 Global AI Image Generator Market Outlook, By Text-to-Image Generators (2022-2030) ($MN)
  • Table 4 Global AI Image Generator Market Outlook, By Image Enhancement and Editing Tools (2022-2030) ($MN)
  • Table 5 Global AI Image Generator Market Outlook, By Style Transfer Tools (2022-2030) ($MN)
  • Table 6 Global AI Image Generator Market Outlook, By Image Super-Resolution Tools (2022-2030) ($MN)
  • Table 7 Global AI Image Generator Market Outlook, By AI-Driven Creative Platforms (2022-2030) ($MN)
  • Table 8 Global AI Image Generator Market Outlook, By Other Products (2022-2030) ($MN)
  • Table 9 Global AI Image Generator Market Outlook, By Deployment Type (2022-2030) ($MN)
  • Table 10 Global AI Image Generator Market Outlook, By Cloud-based AI Image Generators (2022-2030) ($MN)
  • Table 11 Global AI Image Generator Market Outlook, By On-premise AI Image Generators (2022-2030) ($MN)
  • Table 12 Global AI Image Generator Market Outlook, By Technology (2022-2030) ($MN)
  • Table 13 Global AI Image Generator Market Outlook, By Deep Learning (2022-2030) ($MN)
  • Table 14 Global AI Image Generator Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 15 Global AI Image Generator Market Outlook, By Generative Adversarial Networks (GANs) (2022-2030) ($MN)
  • Table 16 Global AI Image Generator Market Outlook, By Convolutional Neural Networks (CNNs) (2022-2030) ($MN)
  • Table 17 Global AI Image Generator Market Outlook, By Recurrent Neural Networks (RNNs) (2022-2030) ($MN)
  • Table 18 Global AI Image Generator Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 19 Global AI Image Generator Market Outlook, By End User (2022-2030) ($MN)
  • Table 20 Global AI Image Generator Market Outlook, By Advertising and Marketing (2022-2030) ($MN)
  • Table 21 Global AI Image Generator Market Outlook, By Entertainment and Media (2022-2030) ($MN)
  • Table 22 Global AI Image Generator Market Outlook, By E-commerce (2022-2030) ($MN)
  • Table 23 Global AI Image Generator Market Outlook, By Healthcare and Medical Imaging (2022-2030) ($MN)
  • Table 24 Global AI Image Generator Market Outlook, By Fashion and Apparel (2022-2030) ($MN)
  • Table 25 Global AI Image Generator Market Outlook, By Gaming and Virtual Reality (2022-2030) ($MN)
  • Table 26 Global AI Image Generator Market Outlook, By Automotive and Design (2022-2030) ($MN)
  • Table 27 Global AI Image Generator Market Outlook, By Architecture and Urban Planning (2022-2030) ($MN)
  • Table 28 Global AI Image Generator Market Outlook, By Education (2022-2030) ($MN)
  • Table 29 Global AI Image Generator Market Outlook, By Art and Creative Industries (2022-2030) ($MN)
  • Table 30 Global AI Image Generator Market Outlook, By Other End Users (2022-2030) ($MN)

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