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AI-Generated Image Services Market Research Report – Segmented by Application (Personal, Enterprise); By End-user (Advertising, Healthcare, Gaming, Fashion, E-commerce, Others (Social Media)); and Region- Size, Share, Growth Analysis | Forecast (2024 – 2030)

AI-Generated Image Services Market Size (2024 – 2030)

The AI-Generated Image Services Market was valued at USD 214.6 million in 2023 and is projected to reach a market size of USD 625.04 million by the end of 2030. Over the forecast period of 2024-2030, the market is projected to grow at a CAGR of 16.5%.

AI-GENERATED

An AI image creator is an artificial intelligence (AI) technology that can create images, graphics, or visual content without direct human intervention. It uses sophisticated machine learning algorithms based on deep neural networks trained on large image datasets. These neural networks learn patterns, patterns, and image features during training. Once trained, the generator can take various inputs, such as textual details or random noise, and create new images that match the input. This technology has various applications such as creating digital art and illustrations, creating presentations for marketing materials, creating ideas, and helping to create content for different companies.

The market share of AI image makers is the rise of non-fungible tokens (NFTs). The growing popularity of non-fungible tokens (NFTs) has fueled the demand for unique and collectible digital art, leading to the use of AI image generators to create visual innovations. For example, in February 2022, an AI-created piece of art called "The First 5,000 Days" sold for $69.3 million at Christie's. This was a watershed moment for the NFT art market, and it helped make AI-generated art a legitimate form of art expression.

Key Market Insights:

The market for AI image generators is boosted by advances in deep learning and algorithms such as GAN, and these tools create increasingly powerful visions. Companies such as advertising, e-commerce and advertising are leading the way, attracting attention by creating fast, customized images and saving money. Expect growth for niche offerings, integration with other AI tools, and positive thinking about data privacy and misuse. This rapidly changing market holds great potential to reshape the way we create and envision the future.

The AI ​​image generator market is seeing significant growth, driven by the increasing demand for better and higher quality displays across various industries. Market leader insights reveal increasing adoption, fueled by advances in deep learning algorithms and neural networks. The growth of applications in games, entertainment, design and advertising reflects the changing market. In addition, the growing need for effective content creation tools and the expanding addition to the virtual reality landscape are further expanding the market. Businesses enable AI image creators to improve creative processes, reduce production costs and improve user experience.

AI-Generated Image Services Market Drivers:

The market is growing due to the growing adoption of augmented reality and virtual reality.

The growing adoption of augmented reality (AR) and virtual reality (VR) technology is a major driver for this industry. AR and VR applications aim to create an immersive and realistic experience by mixing digital elements with the real world or building a completely virtual environment. These technologies find applications in many fields, including sports, health, education, automobiles, etc. For example, in games, AI image generators create 3D environments, characters, objects and textures. This improves the visual quality of VR games and simulations, making them more engaging for users. AI algorithms can generate complex optical objects, reducing development time and cost. In addition, the automotive industry uses augmented reality and virtual reality for design, presentation and virtual showrooms. Designers help create realistic car models, interiors and virtual test drives. As these technologies continue to spread across various industries, the demand for high-quality AI-generated content will rise. This helps to create real, data-driven and interactive content, making AR and VR applications more interesting. Also, the growing adoption of AR and virtual reality (VR) technologies is driving the growth of the AI ​​image generator market, as they play an important role in providing the visual richness required for an immersive experience.

AI-Generated Image Services Market Restraints and Challenges:

Data Privacy and the creation of malicious content can hamper the market.

As AI image creators become more capable of creating high quality images, increasing concern is emerging about their ability to create misleading content, including mystery. This situation raises ethical questions about the use of services that use AI-generated images and highlights the need for strong legislation. In addition, serious concerns about data privacy are raised, as these systems rely on large image datasets, which may include personal or sensitive information. Addressing these ethical and privacy challenges will be key to ensuring the growth of AI image generators.

AI-Generated Image Services Market Opportunities:

The AI-generated image services market is full of opportunities as businesses recognize the transformative potential of artificial intelligence in visual content creation. A significant opportunity lies in meeting the growing need for personalized and unique presentations across a variety of industries, including e-commerce, media and entertainment. As AI models continue to increase in sophistication, service providers can invest in providing solutions that integrate seamlessly with existing workflows, reducing barriers to business adoption. Another growing approach is based on the development of specialized AI imaging services, tailored to specific areas, such as health, where medical imaging and medical research can benefit from advanced manufacturing models. In addition, addressing AI-related ethical concerns and implementing risk reduction strategies provide a unique opportunity for companies to differentiate themselves and build trust among employees. With the growing application of AI-generated images, the market is poised for innovation and continued growth, providing ample opportunities for strategic investment and collaboration.

AI-GENERATED IMAGE SERVICES MARKET REPORT COVERAGE:

REPORT METRIC

DETAILS

Market Size Available

2023 - 2030

Base Year

2023

Forecast Period

2024 - 2030

CAGR

16.5%

Segments Covered

By Application, End-user, and Region

Various Analyses Covered

Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities

Regional Scope

North America, Europe, APAC, Latin America, Middle East & Africa

Key Companies Profiled

AISEO, Box 20 LLC, CodeSandbox, Craiyon LLC, DeepAI, Jasper.ai, Lightricks, neuroflash, NightCafe Studio, Panabee, LLC

AI-Generated Image Services Market Segmentation: By Application

  • Personal

  • Enterprises

In 2023, based on the application, the market is divided into Personal and Enterprises. The Enterprise segment dominates the market and is expected to grow at the highest CAGR during the forecast period. This dominance is due to the large amount of money and budget available to the company, allowing them to invest in advanced technology. Also, these video makers offer great value to businesses across a variety of industries. These techniques can be adapted and perform various tasks related to creating images and manipulating objects, making them useful for content creation, marketing, design and others.

The personalization of AI-powered images is becoming an increasingly important part of our digital experience. From creative pursuits to social media, individuals are leveraging AI image creators to create personalized content. These tools allow users to seamlessly create unique presentations for social media profiles, blogs, or digital art portfolios. With the ability to create realistic and personalized images, individuals can also enhance their stories with visually appealing stories. In addition, images from AI find applications in personalized virtual avatars, allowing users to express themselves in virtual spaces or game environments. Image AI promises to change the way individuals interact visually and engage in the digital realm. , offers a new level of creativity and personalization and self-expression.

AI-Generated Image Services Market Segmentation: By End-user

  • Advertising

  • Healthcare

  • Gaming

  • Fashion

  • E-commerce

  • Others (social media)

In 2023, based on the end user, the market is segmented into media, health, sports, fashion, e-commerce and others. Among them, the media sector holds the highest market share due to the growing need to optimize the production process. This trend is also driven by the aim to reduce costs and improve the effectiveness of advertising in the increasingly visible digital environment.

The fashion industry is expected to grow at the highest CAGR during the forecast period. The fashion industry is based on visual content, the speed of fashion evolution, and the need for customization, expensive displays. These artificial intelligence (AI) tools are useful for fashion brands, allowing them to stay competitive and adapt to changing fashion trends.

               

AI-Generated Image Services Market Segmentation: Regional Analysis

  • North America

  • Asia-Pacific

  • Europe

  • South America

  • Middle East and Africa

The North American AI video market is expected to reach $70 million in 2023 and exceed $300 million by 2032, due to their potential to transform various industries including media, broadcasting and e-commerce. As companies like Adobe, NVIDIA, and OpenAI are actively developing and promoting AI-based online tools, North American companies are increasingly adopting these trends to stay ahead and advance in the competitive area. In addition, the region's strong research institutes and technological culture promote an environment that promotes the development and adoption of innovative AI technologies, thereby promoting their popularity.

In 2023, the Asia Pacific is experiencing tremendous growth and change, fueled by expanding technology and digital adoption in the region. China, Japan, South Korea and India are at the forefront of AI innovation, creating fertile ground for AI image generation. In addition, rapid urbanization and a growing middle class are fueling the demand for AI-based solutions, including image generation. This market is finding widespread applications, from boosting e-commerce with AI-based product images to improving medical imaging and diagnostics. In Europe, this market is changing in response to the increasing demand for AI-based solutions across different regions. The regional market finds applications in sectors such as health, automotive, fashion, sports, shopping and others. The market is being driven by a combination of factors, including the need for personalized content, better customer experience and increased operational efficiency.

The markets in South America, the Middle East and Africa are in a new era and can grow. In South America, Brazil and Argentina are slowly adopting AI technology in different regions. Similarly, countries in the Middle East and Africa, such as the UAE, Saudi Arabia and South Africa, are leading the way in AI adoption. So, this market is gaining ground in sectors like education, business, health and media. Both areas are seeing greater interest in AI image generation due to its applications in content creation, design and automation.

COVID-19 Impact Analysis on the AI Image Generator Market:

The COVID-19 pandemic has had a major impact on the AI ​​image generator market. With the rise of remote work and the need for virtual programming, the demand for high-quality digital images has seen a surge. However, many companies have to reduce their marketing budget, leading to a decrease in demand for AI image producers. In addition, the pandemic has caused disruptions in the supply chain, delaying the production and delivery of AI image generation software. Despite these challenges, the industry has evolved by providing affordable and accessible AI generation options for businesses and individuals.

The COVID-19 pandemic initially disrupted the market due to supply chain disruptions. However, this also boosted product adoption as the demand for digital content, including images from AI and examples for online communication, e-commerce and entertainment, increased during the lockdown. This disruption has highlighted the automation capabilities of AI image integration, making them useful in industries as diverse as healthcare (medical imaging), marketing (for personalized content), and architecture (for monitoring design). In the long term, the impact of epidemics on remote and digital working will support the growth of this market.

Latest Trends/ Developments:

The artificial intelligence market is witnessing significant growth in the adoption of advanced technology. Recent developments highlight the emergence of sophisticated and context-aware models, such as GAN (Generative Adversarial Networks), helping to create high-quality and realistic images. The transfer of knowledge has grown in importance, allowing its models to acquire knowledge trained for the generation of images quickly and efficiently in different areas. In addition, there is a focus on ethical AI, increasing attention to reducing abuse and ensuring the use of generated content. The market is also seeing a shift to distributed computing in the environment, enabling image generation on devices for better privacy and reduced downtime. As demand increases in industries such as games, design and content production, AI image producers are developing to meet growing expectations for creativity, authenticity and precision.

In the current digital failure, companies and people seek ways to stand and connect and connect to their listeners by images in their own images. Network Network (Gan) is a process of change in the market, which helps to understand the interest user and translate them into the target content. These networks, composed of a generator and a discriminator, compete to produce very realistic images. This advancement has significantly improved image quality, making AI-generated images almost indistinguishable from real photos. GANs improve flexibility, enabling the generation of different images based on textual descriptions.

Additionally, they contribute to sustainability efforts by promoting resource utilization. This practice is especially important in marketing, where brands strive to create attractive advertising, personalized advertising, and e-commerce, where product design is becoming increasingly important. GAN is the cornerstone of innovation in the generation of AI images, changing the quality, diversity and environmental effectiveness of images.

Key Players:

  1. AISEO

  2. Box 20 LLC

  3. CodeSandbox

  4. Craiyon LLC

  5. DeepAI

  6. Jasper.ai

  7. Lightricks

  8. neuroflash

  9. NightCafe Studio

  10. Panabee, LLC

  • In September 2023 - OpenAI, a specialist company in the artificial intelligence industry, presents DALL-E 3, the latest version of its image generator. This update, powered by the ChatGPT manager, generates high-quality images based on natural language stimulation and applies security standards.

  • In February 2023, Runway AI released its next-generation image creation model, Gen-2, which is more powerful than the previous version. It can produce realistic and detailed images in various formats.

Chapter 1. AI-Generated Image Services Market – Scope & Methodology
1.1    Market Segmentation
1.2    Scope, Assumptions & Limitations
1.3    Research Methodology
1.4    Primary Sources
1.5    Secondary Sources 
Chapter 2. AI-Generated Image Services Market – Executive Summary
2.1    Market Size & Forecast – (2024 – 2030) ($M/$Bn)
2.2    Key Trends & Insights
          2.2.1    Demand Side
          2.2.2    Supply Side
2.3    Attractive Investment Propositions
2.4    COVID-19 Impact Analysis 
Chapter 3. AI-Generated Image Services Market – Competition Scenario
3.1    Market Share Analysis & Company Benchmarking
3.2    Competitive Strategy & Development Scenario
3.3    Competitive Pricing Analysis
3.4    Supplier-Distributor Analysis 
Chapter 4. AI-Generated Image Services Market - Entry Scenario
4.1    Regulatory Scenario
4.2    Case Studies – Key Start-ups
4.3    Customer Analysis
4.4    PESTLE Analysis
4.5    Porters Five Force Model
          4.5.1    Bargaining Power of Suppliers
          4.5.2    Bargaining Powers of Customers
          4.5.3    Threat of New Entrants
          4.5.4    Rivalry among Existing Players
          4.5.5    Threat of Substitutes 
Chapter 5. AI-Generated Image Services Market – Landscape
5.1    Value Chain Analysis – Key Stakeholders Impact Analysis
5.2    Market Drivers
5.3    Market Restraints/Challenges
5.4    Market Opportunities 
Chapter 6. AI-Generated Image Services Market – By End-user
6.1    Introduction/Key Findings   
6.2    Advertising
6.3    Healthcare
6.4    Gaming
6.5    Fashion
6.6    E-commerce
6.7    Others (social media)
6.8    Y-O-Y Growth trend Analysis By End-user
6.9    Absolute $ Opportunity Analysis By End-user, 2024-2030 
Chapter 7. AI-Generated Image Services Market – By Application
7.1    Introduction/Key Findings   
7.2    Personal
7.3    Enterprises
7.4    Y-O-Y Growth  trend Analysis By Application
7.5    Absolute $ Opportunity Analysis By Application, 2024-2030  
Chapter 8. AI-Generated Image Services Market , By Geography – Market Size, Forecast, Trends & Insights
8.1    North America
          8.1.1    By Country
                    8.1.1.1    U.S.A.
                    8.1.1.2    Canada
                    8.1.1.3    Mexico
          8.1.2    By End-user
          8.1.3    By Application
          8.1.4    Countries & Segments - Market Attractiveness Analysis
8.2    Europe
          8.2.1    By Country
                    8.2.1.1    U.K
                    8.2.1.2    Germany
                    8.2.1.3    France
                    8.2.1.4    Italy
                    8.2.1.5    Spain
                    8.2.1.6    Rest of Europe
          8.2.2    By End-user
          8.2.3    By Application
          8.2.4    Countries & Segments - Market Attractiveness Analysis
8.3    Asia Pacific
          8.3.1    By Country
                    8.3.1.1    China
                    8.3.1.2    Japan
                    8.3.1.3    South Korea
                    8.3.1.4    India      
                    8.3.1.5    Australia & New Zealand
                    8.3.1.6    Rest of Asia-Pacific
          8.3.2    By End-user
          8.3.3    By Application
          8.3.4    Countries & Segments - Market Attractiveness Analysis
8.4    South America
          8.4.1    By Country
                    8.4.1.1    Brazil
                    8.4.1.2    Argentina
                    8.4.1.3    Colombia
                    8.4.1.4    Chile
                    8.4.1.5    Rest of South America
          8.4.2    By End-user
          8.4.3    By Application
          8.4.4    Countries & Segments - Market Attractiveness Analysis
8.5    Middle East & Africa
          8.5.1    By Country
                    8.5.1.1    United Arab Emirates (UAE)
                    8.5.1.2    Saudi Arabia
                    8.5.1.3    Qatar
                    8.5.1.4    Israel
                    8.5.1.5    South Africa
                    8.5.1.6    Nigeria
                    8.5.1.7    Kenya
                    8.5.1.8    Egypt
                    8.5.1.9    Rest of MEA
          8.5.2    By End-user
          8.5.3    By Application
          8.5.4    Countries & Segments - Market Attractiveness Analysis 
Chapter 9. AI-Generated Image Services Market – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
9.1    AISEO
9.2    Box 20 LLC
9.3    CodeSandbox
9.4    Craiyon LLC
9.5    DeepAI
9.6    Jasper.ai
9.7    Lightricks
9.8    neuroflash
9.9    NightCafe Studio
9.10    Panabee, LLC


 

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Frequently Asked Questions

The AI-Generated Image Services Market was valued at USD 214.6 million in 2023 and is projected to reach a market size of USD 625.04 million by the end of 2030. Over the forecast period of 2024-2030, the market is projected to grow at a CAGR of 16.5%.

Growing Adoption of Augmented Reality (AR) and Virtual Reality (VR) to Fuel the Market Growth.

Based on Application, the AI-Generated Image Services Market is segmented into Personal and Enterprises.

North America is the most dominant region for the Skid Market.

AISEO, Box 20 LLC, CodeSandbox, Craiyon LLC., DeepAI, Jasper.ai, Lightricks, neuroflash, NightCafe Studio, Panabee, LLC., Runway AI, Inc., Starryai., and Dreamstudio.

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