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市場調查報告書

商品編碼

1636780

到 2030 年 AI 影像產生器市場預測：按產品、部署類型、技術、最終用戶和地區進行的全球分析

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: 2025年01月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，2024 年人工智慧影像產生器的全球市值將達到 4.184 億美元，預計到 2030 年將達到 12.309 億美元，在預測期內複合年成長率為 19.7%。

AI 圖像生成器是一種使用人工智慧，特別是 GAN（生成對抗網路）和擴散模型等機器學習模型，根據文字提示和其他輸入創建圖像的技術。這些系統可以透過分析大型圖像資料並學習模式、風格和視覺構成，根據使用者規格生成現實的、藝術的或抽象的視覺效果。 AI 圖像生成器用於設計、行銷、遊戲和娛樂等產業，可有效產生自訂視覺效果。它支援創新表達、快速原型製作和內容生成，使其成為專業人士和業餘業餘愛好者的強大工具。

根據圖片搜尋引擎Everypixel發布的報告，到2023年8月，人工智慧產生的圖像將創建近155億張，每天大約會創建3400萬張新的人工智慧生成圖像。

對數位內容的需求不斷成長

企業和創作者需要高品質的廣告、社群媒體和品牌視覺效果，並且對快速、經濟高效的內容解決方案的需求正在激增。 AI 影像產生器提供了一種可擴展的方式來創建獨特且可自訂的視覺效果，而無需昂貴的圖形設計工具或團隊。該技術支援那些重視視覺吸引力內容的行業，例如電子商務、遊戲和娛樂。此外，行銷個人化的興起正在推動對根據特定受眾偏好量身定做的人工智慧生成圖像的需求。因此，人工智慧影像產生器正在成為數位內容生態系統中的重要工具。

初始投資高

開發先進的人工智慧模型需要大量的研究、技術人員和運算資源，這對許多組織來說可能是望而卻步的。此外，與 GPU 和資料儲存基礎架構等高效能硬體相關的成本進一步加劇了財務負擔。公司在取得大型資料和遵守資料隱私法規方面也面臨挑戰，這會增加成本。這種財務負擔限制了財力雄厚的公司的市場，並減少了競爭和創新。因此，高成本減緩了人工智慧影像生成設備在各行業的採用，阻礙了整體市場的成長。

與AR/VR技術整合

AI 影像產生器可創造逼真的虛擬環境和對象，以提高遊戲、教育和培訓中 AR/VR 應用的品質。這些技術允許用戶即時生成和修改 3D 資產，從而提高創造力和客製化。企業利用這種整合進行虛擬試穿、產品視覺化和互動式廣告，以提高客戶參與。 AI 影像產生器與 AR/VR 之間的協同效應減少了開發時間和成本，並使進階模擬變得更加容易。總體而言，這種組合正在推動創新並吸引產業採用人工智慧驅動的 AR/VR 解決方案。

與傳統創新方法的競爭

與手繪插圖和照片等傳統創新方法的競爭是一個問題。這些技術可以實現人工智慧生成的圖像難以再現的獨特表達和細微差別。此外，對傳統方法和既定工作流程的熟悉會對採用人工智慧工具產生阻力。雖然人工智慧提供了速度和效率，但它往往缺乏傳統方法為計劃帶來的情感深度和原創性。因此，傳統的創新方法在視覺藝術市場上仍然是強而有力的競爭者。

COVID-19 的影響

COVID-19 大流行對人工智慧影像產生器市場產生了重大影響，並隨著企業和個人轉向數位解決方案而加速了其成長。封鎖和遠端工作增加了行銷、遊戲和娛樂等行業對數位內容創作的需求。人工智慧驅動的工具對於快速、經濟高效且無需使用實體資源產生視覺效果至關重要。然而，全球供應鏈中斷和經濟不確定性暫時阻礙了市場擴張。這場大流行也凸顯了道德問題，例如錯誤訊息和濫用人工智慧產生的內容。即使在大流行之後，由於人工智慧技術的進步以及虛擬和擴增實境應用程式的採用增加，市場仍在繼續成長。

預計風格轉換工具細分市場在預測期內將是最大的

由於車輛美觀度的提高以及更快、更有效率的設計流程，預計風格轉換工具領域將在預測期內佔據最大的市場佔有率。 AI 影像生成器使設計人員能夠可視化概念並即時迭代設計，從而提高創造力並縮短開發時間。此外，汽車產業正在利用人工智慧創建真實的虛擬環境，增強駕駛員輔助系統，並模擬真實場景進行測試。在設計領域，人工智慧驅動的圖像生成使平面設計師、建築師和產品設計師能夠探索獨特和創新的想法，加速創造性過程。隨著人工智慧技術的不斷進步，這兩個產業將更加依賴人工智慧主導的影像生成來實現創新和效率。

預計汽車和設計產業在預測期內的複合年成長率最高

由於在產品設計和開發中採用先進的視覺技術，預計汽車和設計行業在預測期內的複合年成長率最高。在汽車產業，人工智慧圖像產生器有助於創建車輛原型和內部佈局的逼真視覺化，從而加快設計過程。這些工具還可以幫助製造商進行行銷，使他們能夠創建高品質的客製化廣告圖像。在設計領域，人工智慧影像產生器為設計師提供了一種創新的方式來視覺化概念並減少在初始草圖上花費的時間。此外，隨著這些領域的不斷創新，對人工智慧圖像生成工具的需求預計將成長，推動市場進一步擴張。

比最大的地區

由於人工智慧、機器學習和深度學習技術的進步，預計亞太地區在預測期內將佔據最大的市場佔有率。中國、日本、印度和韓國等國家處於人工智慧發展的前沿，將圖像生成工具融入娛樂、廣告、醫療保健和設計等領域。對創新內容不斷成長的需求，加上該地區高科技產業的蓬勃發展，正在推動市場成長。此外，人工智慧驅動的工具提供高效且經濟高效的解決方案來提高生產力。政府投資和對跨行業人工智慧驅動創新的日益關注也支持了市場的潛力。

複合年成長率最高的地區：

由於機器學習、深度學習和人工智慧技術的進步，預計北美在預測期內將出現最高的複合年成長率。娛樂、廣告、遊戲和電子商務等行業擴大採用人工智慧圖像生成器工具來創建逼真的視覺效果、增強客戶參與並簡化內容創建。企業正在投資創新解決方案，以滿足對個人化、高品質影像不斷成長的需求。此外，社群媒體和數位行銷的興起進一步推動了市場成長，品牌利用人工智慧主導的圖像來有效講述故事。北美仍然是推動人工智慧圖像生成技術研究、開發和商業化的領先中心。

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公司簡介
- 其他市場公司的綜合分析（最多 3 家公司）
- 主要企業SWOT分析（最多3家企業）
區域分割
- 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭標基準化分析
- 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

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/非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東/非洲

第10章主要進展

合約、夥伴關係、合作和合資企業
收購和合併
新產品發布
業務拓展
其他關鍵策略

第11章公司概況

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

簡介目錄圖表

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

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

簡介目錄圖表

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)