AI Image Generator Market Size - By Component (Software, Services), By End-User (Media & Entertainment, Healthcare, Fashion, E-commerce & Retail) & Global Forecast, 2023 - 2032
Published Date: April - 2025 | Publisher: MRA | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format
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Suppose you possess a magic wand that can produce one-of-a-kind images you've never seen before. That's essentially what AI image generators do! They're digital artists that utilize artificial intelligence to create unique visual content. This AI image generator market is booming today. It was valued at approximately $213.8 million in 2022, and specialists estimate that it will continue to grow at 16.5% per year through 2032. So why are people so keen on it? It's because of Non-Fungible Tokens, or NFTs. NFTs are one-of-a-kind digital collectibles, similar to unique trading cards. And what's this? Individuals are crazy about creating their own neat NFT artwork and other collectibles using AI image generators. For instance, in 2022, an AI-generated painting titled "The First 5000 Days" was sold for a staggering $69.3 million! That's winning the digital art lottery! This made people understand that AI-generated art is a legitimate art form, which has further popularized AI image generators.
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Similarly, in April 2022, AI art group Larva Labs created a new set of NFTs named "CryptoPunks," which went on sale for minutes. The average price per CryptoPunk was more than $100,000. These examples indicate the high demand for AI-generated images that are both unique and aesthetically pleasing, which, in turn, will generate a positive growth forecast for the market of AI image generators.
Report Attribute | Details |
---|---|
Base Year | 2022 |
AI Image Generator Market Size in 2022 | USD 213.8 Million |
Forecast Period | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR | 16.5% |
2032 Value Projection | USD 944 Million |
Historical Data for | 2018 - 2022 |
No. of Pages | 200 |
Tables, Charts & Figures | 206 |
Segments covered | Component, End-User |
Growth Drivers |
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Pitfalls & Challenges |
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What are the growth opportunities in this market?
AI image generation software gives power to non-designers and people without specialized skills to create visually attractive content, allowing them to engage in creative activities. These are capable of producing images at a fraction of the time and expense of traditional manual processes, making them a desirable choice for companies that want to maximize their resources. The growing need for high-quality visual content across various industries, including advertising, marketing, entertainment, and gaming, has fueled the demand for effective and scalable AI image generation solutions, boosting market gains. Citing an example, in 2022, the fashion brand Gucci utilized AI-generated images to develop a campaign for its new perfume, Flora Gorgeous Gardenia.
The pictures were generated through the use of DALL-E 2 and presented a mix of surreal and imaginative scenes that represented the aroma of the fragrance. Nevertheless, the users may have limitations when trying to manipulate the output of AI image generators to achieve some levels of customization with limited flexibility. Furthermore, applying AI image generators to existing processes and software might be difficult and time-consuming and may discourage organizations from using the technologies.
COVID-19 Impact
The COVID-19 pandemic had a major effect on the market of AI image generators. As more people worked from home and organized virtual events due to the new work-from-home culture, demand for high-quality digital images rose. But various companies have also reduced their advertisement budgets, reducing demand for AI image generators. Moreover, the pandemic has disrupted supply chains, slowing down the production and delivery of AI image-generator software. In spite of this, the sector has coped by providing cheaper and more accessible AI image-generator solutions to businesses and individuals.
AI Image Generator Market Trends
Picture your assistant or chatbot making your imagination come alive! With the wonders of AI image generators, you can just describe to your assistant what you wish to see, and your assistant will generate a personalized image for you. Just like a genie in a digital bottle! For instance, Microsoft's Bing Chatbot has joined forces with AI-magician DALL-E 2. Just talk to Bing, tell Bing what you are imagining, and Bing will conjure up a new picture in an instant. You can even share your masterpieces or store them for later. Another celebrity in this show is ChatGPT. Based on OpenAI's GPT-3, ChatGPT can now call up pictures from your imagination. Just ask, and your thoughts will transform into beautiful images. With the tech universe hurtling ahead, companies are embracing AI image generators to lead the pack. It's a superpower for producing catchy and unique content. With these, you can create visual marvels at lightning speed with ease, gaining an edge in the virtual wilderness.
AI Image Generator Market Analysis
Learn more about the key segments shaping this market
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Hello! The demand for software that allows computers to generate images using artificial intelligence (AI) is exploding, particularly for business software that enables companies to do so. In 2022, the software generated around $140 million, and by 2032, it should hit a staggering $650 million. Why the explosion? Because increasingly, companies require high-quality images for their websites, products, and marketing materials. Especially for online retailers, absolutely clear photographs can be the difference between success and failure. But that is not all. AI image makers are now breaking into the entertainment business. They help design mind-shattering special effects and environments for films and computer games. And social media and websites don't forget about them. Everybody wants to be different nowadays, so owning distinctive, impressive images is more vital than ever. That's where AI image generators come in, assisting you in capturing people's attention in a world where everyone's fighting for it.
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The media & entertainment contributed 26.6% AI image generator market share in 2022 and is expected to reach USD 250 million by 2032, as they can easily generate high-quality visual content, simplify creative workflows, and provide creative solutions for visual storytelling. These AI-facilitated tools enable generators with timely and cost-effective means to create varied and interesting visuals, augment visual effects, and investigate new creative avenues, placing them as useful assets in the competitive arena of content creation and digital media.
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The North America AI image generator market size stood at USD 70 million in 2022 and will grow beyond USD 300 million by 2032, driven by their ability to disrupt multiple industries such as media, advertising, and e-commerce. As Adobe, NVIDIA, and OpenAI continue developing and marketing AI-driven image creation tools, North American companies are progressively embracing these solutions to gain a competitive edge. In addition, the region's powerful research institutions and technology-oriented culture provide a supportive setting for the creation and use of advanced AI technologies, further increasing their popularity.
AI Image Generator Market Share
Major companies operating in the AI image generator market are
- AISEO
- Box 20 LLC
- CodeSandbox
- Craiyon LLC
- DeepAI
- Jasper.ai
- Lightricks
- neuroflash
- NightCafe Studio
- Panabee, LLC
- Runway AI, Inc.
- Starryai
- Dreamstudio
These companies are prioritizing strategic partnerships, launching new products, and commercialization efforts to expand their market reach.
AI Image Generator Industry News
- In February 2023, Runway AI released its new generation image creation model, Gen-2, which is significantly more powerful than the previous version. It can generate more realistic and detailed images in a variety of styles.
The AI image generator market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2018 to 2032, for the following segments
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Market, By Component
- Software
- Services
Market, By End-User
- Media & Entertainment
- Healthcare
- Fashion
- E-commerce & Retail
- Others
The above information has been provided for the following regions and countries
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Russia
- Asia Pacific
- China
- India
- Japan
- South Korea
- ANZ
- Latin America
- Brazil
- Mexico
- Argentina
- MEA
- South Africa
- UAE
- Saudi Arabia
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Table of Content
Here's a detailed Table of Contents (TOC) for a report on the AI Image Generator Market, covering industry trends, segmentation, competitive landscape, and future outlook:
Table of Contents
-
Executive Summary
1.1. Market Snapshot
1.2. Key Insights
1.3. Market Size and Growth Forecast (2024–2030)
1.4. Strategic Recommendations -
Introduction
2.1. Report Scope and Objectives
2.2. Research Methodology
2.3. Definitions and Assumptions -
Market Overview
3.1. What is an AI Image Generator?
3.2. Evolution of Generative AI
3.3. Applications and Use Cases
3.4. Legal and Ethical Considerations -
Market Dynamics
4.1. Drivers
- Rise in Content Creation and Marketing Automation
- Integration with Social Media, Gaming, and Design Tools
- Improvements in Generative Adversarial Networks (GANs)
4.2. Restraints
- Copyright and Deepfake Concerns
- High Computational Costs
4.3. Opportunities
- Personalized Content at Scale
- Integration with AR/VR and Metaverse
4.4. Challenges
- Bias in Training Data
- Regulatory Uncertainty -
Technology Landscape
5.1. Core Technologies: GANs, Diffusion Models, Transformers
5.2. Cloud vs On-Device Generation
5.3. APIs and Platform Integration
5.4. Open-source vs Commercial Solutions -
Market Segmentation
6.1. By Component
6.1.1. Software/Platform
6.1.2. Services
6.2. By Deployment Mode
6.2.1. Cloud-based
6.2.2. On-premise
6.3. By Application
6.3.1. Advertising and Marketing
6.3.2. E-commerce and Product Design
6.3.3. Gaming and Animation
6.3.4. Social Media and Entertainment
6.3.5. Education and Training
6.3.6. Others
6.4. By End-user
6.4.1. Enterprises
6.4.2. SMEs
6.4.3. Individual Creators and Developers -
Regional Analysis
7.1. North America
7.2. Europe
7.3. Asia-Pacific
7.4. Latin America
7.5. Middle East & Africa -
Competitive Landscape
8.1. Market Share Analysis
8.2. Key Players and Profiles
8.2.1. OpenAI
8.2.2. Stability AI
8.2.3. Adobe Inc.
8.2.4. Midjourney
8.2.5. Canva
8.2.6. Runway
8.2.7. Others
8.3. Recent Developments
8.4. Investment and Funding Trends -
Future Outlook and Forecast (2024–2030)
9.1. Adoption Trajectory and Emerging Use Cases
9.2. Market Forecast by Segment and Region
9.3. Analyst Perspectives and Strategic Outlook -
Appendix
10.1. Glossary of Terms
10.2. Abbreviations
10.3. References
10.4. Methodology Note
List Tables Figures
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