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AI Image Generator Market Size, Share, Forecast, & Trends Analysis by Offering (Solutions, Services), Deployment Mode, Application (Personal, Professional), Platform (Web-based, Mobile), End User (Media & Entertainment, Marketing, and Advertising), and Geography - Global Forecast to 2031
Report ID: MRICT - 1041326 Pages: 300 Oct-2024 Formats*: PDF Category: Information and Communications Technology Delivery: 24 to 72 Hours Download Free Sample ReportThis market's growth is driven by the increasing adoption of AI image-generation solutions in marketing and advertising and the growing prevalence of do-it-yourself (DIY) content creation platforms. However, concerns regarding data privacy and the potential for the creation of malicious content are anticipated to impede its growth.
The increasing adoption of AI image generators in the healthcare sector, the rising integration of generative AI and computer vision for advanced image manipulation, and the growing use of AI image generators by individual users are expected to generate growth opportunities for market stakeholders. On the other hand, challenges associated with the high dimensionality of images present a significant hurdle for companies operating in this market. Moreover, the integration of AI image generators for educational purposes is a prominent market trend in the AI image generator market.
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In recent years, the use of AI image generators in marketing and advertising has increasingly enabled the creation of highly customized images that align with specific brand guidelines and campaign themes. AI-generated images enhance brand visualization and identity for organizations. AI facilitates the creation of personalized content based on user data, allowing for a reflection of individual preferences and demographics, which in turn boosts engagement and conversion rates for businesses.
With the increasing integration of AI image generator solutions, marketers and advertisers can enhance their creative processes, efficiently produce high-quality content, and engage audiences with visually compelling materials. Consequently, several companies are offering AI-enabled content engines for digital advertising. For example, in May 2023, Nvidia Corporation (U.S.) partnered with WPP plc (U.K.) to develop a generative AI-enabled content engine for digital advertising. This new engine connects a suite of 3D design, manufacturing, and creative supply chain tools, including offerings from Adobe and Getty Images, enabling WPP’s artists and designers to seamlessly integrate 3D content creation with generative AI. Such advancements are expected to drive the demand for AI image generators in marketing and advertising throughout the forecast period.
The increasing adoption of AI image generators in the healthcare sector is enhancing diagnostic accuracy, medical training, and patient care. Healthcare organizations are progressively integrating these tools to create synthetic medical images for diagnostic training, thereby improving the accuracy of diagnostic algorithms. Additionally, many hospitals and training centers are utilizing AI image generators for medical education, producing virtual models of anatomy and pathology that serve both educational purposes and surgical planning.
Furthermore, AI image generators facilitate the creation of personalized visual representations of a patient's body structure, enabling the design and planning of individualized treatment strategies. Given these advantages, several providers are launching solutions tailored for the healthcare sector. For instance, in September 2024, Harrison-AI Pty Ltd (Australia) introduced a radiology-specific language model as a foundational component for healthcare AI. This model enhances the speed and accuracy of radiology image analysis, thereby improving diagnostic precision in pathology. The Harrison.rad.1 model is dialogue-based, capable of answering open-ended visual questions about radiology images, detecting findings, providing descriptions, and generating structured reports. Such advancements are expected to significantly drive the growth of AI image generators for accurate diagnostics, improved training, and more personalized patient care within the healthcare sector.
The rapid advancement of technology has positioned image-generation techniques as powerful tools in educational settings. The increasing adoption of AI image generators for various educational purposes enhances learning experiences across subjects such as art and design, science and geography, and language learning activities. As a result, the growing use of AI image generator solutions in education significantly enriches students' learning experiences, thereby driving demand in the education sector.
Many educational institutions are increasingly utilizing AI image generator solutions to provide visual aids and interactive experiences for students. These solutions transform the learning environment into a more immersive, stimulating, and engaging experience. The visual representations generated through these tools facilitate better comprehension of complex concepts, enhance information retention, and foster creativity among students. Moreover, AI image generator solutions cater to diverse learning styles and preferences, personalizing the educational experience and making it more engaging. Such developments are expected to drive the adoption of AI image generator solutions for educational purposes in the coming years.
Based on offering, the AI image generator market is segmented into solutions and services. In 2024, the solutions segment is expected to account for a larger share of over 73.0% of the AI image generator market. This segment's substantial market share is attributed to the increasing adoption of AI image generator solutions that reduce the time required for manual visual creation and the rising use of these tools for customization, allowing users to create images tailored to their specific needs. Additionally, AI image generator solutions are cost-effective, making high-quality image creation more accessible to individuals and small businesses. Moreover, the solutions segment is estimated to register a higher CAGR during the forecast period.
Based on deployment mode, the AI image generator market is segmented into cloud-based and on-premise. In 2024, the cloud-based segment is expected to account for a larger share of over 66.0% of the AI image generator market. This segment's substantial market share is driven by the increasing adoption of cloud-based AI image generators for efficiently managing large-scale image generation tasks, as well as the rising demand for subscription-based or pay-as-you-go models. Additionally, users increasingly accessing these solutions from any location enhances flexibility and convenience, contributing to the growth of this segment. Moreover, the cloud-based segment is estimated to register a higher CAGR during the forecast period.
Based on application, the AI image generator market is segmented into personal and professional/enterprises. In 2024, the professional/enterprises segment is expected to account for a larger share of over 74.0% of the AI image generator market. This segment's substantial market share is attributed to the increasing adoption of AI image generator solutions by enterprises for creating images tailored to specific brand guidelines, target audiences, and campaign themes. Additionally, the rising integration of AI image generators within enterprises enables the management of large-scale content creation, allowing for the rapid and efficient production of vast quantities of images.
However, the personal segment is estimated to register a higher CAGR during the forecast period. This segment's growth is attributed to the growing adoption of AI image generator solutions among individuals to generate high-quality images at low cost. AI image generators are designed to be intuitive and easy to navigate, helping users with no technical expertise create high-quality visuals.
Based on platform, the AI image generator market is segmented into web-based and mobile. In 2024, the web-based segment is expected to account for a larger share of over 71.0% of the global AI image generator market. This segment's substantial market share is attributed to the increasing adoption of web-based AI image generator solutions that can efficiently manage large-scale or complex image generation tasks using cloud infrastructure, thus avoiding performance issues. Additionally, the rising integration of web-based tools across various operating systems and devices—without the need for specific software installations—ensures a seamless user experience.
However, the mobile segment is estimated to register a higher CAGR during the forecast period. This segment's growth is driven by the rising adoption of mobile-based AI image generators, which enable users to create and edit images remotely in real time from their smartphones or tablets. Furthermore, the increasing popularity of social media platforms encourages individuals to utilize AI image generators through mobile applications for posting images directly to these platforms.
Based on end user, the AI image generator market is segmented into IT & telecommunication, media & entertainment, marketing, and advertising, healthcare & life sciences, gaming, education & training, retail & E-commerce, construction & real estate, government & defense, BFSI, art and design, fashion & apparel, energy & utilities, and other end users. In 2024, the marketing and advertising segment is expected to account for the largest share of over 36.0% of the AI image generator market. This segment's substantial market share is attributed to the increasing adoption of AI image generators in marketing, which allows for the generation of large volumes of images for campaigns, product launches, and promotional activities. Additionally, the growing use of cloud-based AI image generators facilitates real-time editing and feedback among marketing teams, designers, and stakeholders.
However, the media and entertainment segment is estimated to register a higher CAGR during the forecast period. This segment's growth is driven by the rising use of AI image generators to effectively visualize storyboards, scenes, and character designs. These tools enable media and entertainment companies to create personalized and targeted visuals, thereby enhancing audience engagement.
In 2024, North America is expected to account for the largest share of over 42.0% of the global AI image generator market. North America’s substantial market share is primarily driven by the widespread adoption of AI image generators in the healthcare sector to enhance diagnostic accuracy and efficiency. Additionally, the region has seen a significant rise in the use of AI image generator solutions within the advertising and marketing industries. The high concentration of AI image generator solution providers in the region further contributes to this growth, along with an increasing number of personal users leveraging these technologies.
However, Asia-Pacific is estimated to register the highest CAGR of over 17.5% during the forecast period. This segment's growth is attributed to the growing investment in AI technology from the government and private sectors and the increasing adoption of AI image generators in businesses to engage with target audiences and create more relevant content.
The report offers a competitive analysis based on an extensive assessment of the leading players’ product portfolios, geographic presence, and key growth strategies adopted in the last 3–4 years. Some of the key players operating in the AI image generator market are Microsoft Corporation (U.S.), Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com Inc.) (U.S.), Adobe Inc. (U.S.), OpenAI, L.L.C. (U.S.), Nvidia Corporation (U.S.), Meta Platforms, Inc (U.S.), Databricks, Inc.(U.S.), Vyro LLC (Australia), Jasper AI, Inc. (U.S.), NightCafe Studio Pty Ltd (Australia), Stability AI Ltd (U.K.), Lightricks Ltd. (Israel), Runway AI, Inc. (U.S.), Lumen5 Technologies Ltd (Canada), Craiyon LLC (U.S.), Resleeve B.V. (Netherlands), and starryai, Inc. (U.S.).
Particulars |
Details |
Number of Pages |
300 |
Format |
|
Forecast Period |
2024–2031 |
Base Year |
2023 |
CAGR (Value) |
16.4% |
Market Size (Value) |
USD 1093.1 million by 2031 |
Segments Covered |
By Offering
By Deployment Mode
By Application
By Platform
By End User
|
Countries Covered |
North America (U.S., Canada), Europe (Germany, U.K., France, Italy, Netherlands, Spain, Sweden, Poland, and Rest of Europe), Asia-Pacific (Japan, China, India, South Korea, Singapore, Australia & New Zealand, Indonesia, Thailand, Malaysia, and Rest of Asia-Pacific), Latin America (Brazil, Mexico, and Rest of Latin America), and the Middle East & Africa (UAE, Saudi Arabia, South Africa, Israel, and Rest of Middle East & Africa) |
Key Companies |
Microsoft Corporation (U.S.), Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com Inc.) (U.S.), Adobe Inc.(U.S.), OpenAI, L.L.C. (U.S.), Nvidia Corporation (U.S.), Meta Platforms, Inc (U.S.), Databricks, Inc.(U.S.), Vyro LLC (Australia), Jasper AI, Inc. (U.S.), NightCafe Studio Pty Ltd (Australia), Stability AI Ltd (U.K.), Lightricks Ltd. (Israel), Runway AI, Inc. (U.S.), Lumen5 Technologies Ltd (Canada), Craiyon LLC (U.S.), Resleeve B.V. (Netherlands), and starryai, Inc. (U.S.). |
The AI image generator market study focuses on market assessment and opportunity analysis through the sales of AI image generators across different regions and countries across different market segmentations. This study is also focused on competitive analysis for AI image generators based on an extensive assessment of the leading players’ product portfolios, geographic presence, and key growth strategies.
The global AI image generator market is projected to reach $1,093.1 million by 2031, at a CAGR of 16.4% from 2024 to 2031.
In 2024, the professional/enterprises segment is expected to account for the larger share of over 74.0% of the global AI image generator market. The segment's large market share is attributed to the high growth of AI image generators to enhance computational resources that allow enterprises to focus on strategic tasks rather than managing infrastructure, and AI image generator providers are growingly offering API access that helps enterprises to use image generation capabilities into their existing applications or platforms.
The media and entertainment segment is expected to register the highest CAGR during the forecast period. This segment's growing adoption of AI image generators to produce visual content types such as posters, promotional materials, and cover art at low cost and rising integration of AI image generators to streamline production processes, foster innovation, and engage audiences in new and exciting ways.
This market's growth is driven by the high adoption of AI image generator solutions for marketing and advertising-related activities and the rise in do-it-yourself (DIY) content creation platforms. The growing adoption of AI image generators in the healthcare sector, the rising integration of generative AI and computer vision for advanced image manipulation, and the increasing usage of AI image generators among personal users are expected to create market growth opportunities.
The key players operating in the AI image generator market are Microsoft Corporation (U.S.), Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com Inc.) (U.S.), Adobe Inc.(U.S.), OpenAI, L.L.C. (U.S.), Nvidia Corporation (U.S.), Meta Platforms, Inc (U.S.), Databricks, Inc.(U.S.), Vyro LLC (Australia), Jasper AI, Inc. (U.S.), NightCafe Studio Pty Ltd (Australia), Stability AI Ltd (U.K.), Lightricks Ltd. (Israel), Runway AI, Inc. (U.S.), Lumen5 Technologies Ltd (Canada), Craiyon LLC (U.S.), Resleeve B.V. (Netherlands), and starryai, Inc. (U.S.).
Asia-Pacific is expected to register the highest CAGR of over 17.5% during the forecast period. This segment's growth is attributed to the growing adoption of AI image generator solutions for marketing and advertising-related activities in the region, the rising integration of AI image generators among personal users, and the increasing integration of AI image generator solutions for educational purposes in Asia-Pacific.
Published Date: Sep-2024
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