AI 이미지 생성기 시장 예측(-2030년) : 제품별, 전개 방식별, 기술별, 최종사용자별, 지역별 세계 분석

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