Artificial Intelligence (AI)-Generated Fashion Photography Global Market Report 2025

The artificial intelligence (AI)-generated fashion photography market size has grown exponentially in recent years. It will grow from $1.51 billion in 2024 to $2.01 billion in 2025 at a compound annual growth rate (CAGR) of 32.5%. The growth in the historic period can be attributed to increasing demand for digital fashion content, rising popularity of online fashion retail, growing influence of social media in shaping fashion trends, growth in brand collaborations with digital models, expansion of e-commerce marketing campaigns, and increasing consumer preference for personalized visual experiences.

The artificial intelligence (AI)-generated fashion photography market size is expected to see exponential growth in the next few years. It will grow to $6.12 billion in 2029 at a compound annual growth rate (CAGR) of 32.1%. The growth in the forecast period can be attributed to growing adoption of virtual fashion shoots to reduce costs, rising demand for sustainable and resource-efficient production methods, expansion of digital fashion advertising budgets, increasing use of influencer-based fashion marketing, growth in virtual fashion events and campaigns, and rising consumer inclination toward immersive online shopping experiences. Key trends in the forecast period include technological advancements in generative visual modeling, improvements in real-time virtual styling tools, innovations in photorealistic digital model rendering, developments in automated scene composition and lighting simulation, research and development in adaptive image personalization systems, and innovations in virtual wardrobe and outfit generation platforms.

The surge in e-commerce is expected to drive the growth of the artificial intelligence (AI)-generated fashion photography market going forward. E-commerce refers to the buying and selling of goods and services through online platforms and digital channels. Its expansion is fueled by increasing high-speed internet penetration, which has made online shopping more accessible and convenient for both consumers and businesses by enabling faster website loading, smoother digital payment processing, and enhanced mobile shopping experiences, even in emerging regions. AI-generated fashion photography supports e-commerce by enabling brands to produce high-quality, realistic product images quickly and cost-effectively, improving visual appeal, personalization, and customer engagement to drive higher online sales. For instance, in February 2025, according to Eurostat, Luxembourg-based official statistical office of the European Union, 23.8% of EU enterprises conducted online sales in 2023, with Lithuania recording the highest share at 42.1%. Therefore, the surge in e-commerce is driving growth in the AI-generated fashion photography market.

Key companies operating in the AI-generated fashion photography market are focusing on incorporating technological advancements such as AI-generated fashion models to enhance content creation efficiency and automate visual production. AI-generated fashion model technologies use generative AI algorithms to create realistic, human-like fashion models and scenes from simple product images, enabling features such as on-model visualization, background synthesis, and automated photo generation. For example, in January 2025, Botika, an Israel-based AI fashion technology company, launched its AI-Generated Fashion Model Mobile App, an iOS-based solution designed to transform product shots into professional on-model fashion photos for e-commerce brands. The app includes customizable AI-generated models, background editing tools, and instant photo generation, allowing brands to quickly produce diverse, high-quality visuals without traditional photo shoots. Botika’s platform enhances automation, reduces production costs, and accelerates visual content workflows, marking a significant advancement in AI-driven fashion photography.

In July 2025, Browzwear, a Singapore-based provider of digital product creation and 3D design solutions for the apparel industry, acquired Lalaland.ai for an undisclosed amount. Through this acquisition, Browzwear gains access to Lalaland.ai’s AI-driven virtual model generation technology, enhancing its fashion photography and digital visualization capabilities while improving operational efficiency, inclusivity, and scalability across its fashion design ecosystem. Lalaland.ai, a Netherlands-based company specializing in hyper-realistic AI-generated fashion models, is known for creating diverse, photorealistic avatars that allow brands to showcase garments without physical photoshoots.

Major players in the artificial intelligence (ai)-generated fashion photography market are H&M Hennes & Mauritz AB, Zalando SE, TAL Apparel Ltd., Mad Street Den (through Vue.ai), Browzwear, Artisse, Claid.ai, Botika, Refabric, Provamoda, FASHN, DreamShot Ltd., Bandy AI, Uwear.ai (Logiciel Uwear.ai Inc.), Hautech.AI, Virtuality.Fashion, Modelia Inc., Mocky.ai, OnModel.ai, Flair AI.

North America was the largest region in the artificial intelligence (AI)-generated fashion photography market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-generated fashion photography report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-generated fashion photography market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the media sector, particularly in content production, broadcasting, and digital distribution. Higher duties on imported audiovisual equipment, editing software, and broadcast technology have increased production and operational costs for media companies. Film and television studios face added expenses for sourcing foreign-made cameras, lighting systems, and post-production tools, while news and broadcasting agencies are contending with inflated costs for transmission equipment and satellite services. Moreover, retaliatory tariffs in international markets are restricting the export of U.S.-produced media content, limiting global revenue potential. In response, media organizations are turning to domestic suppliers, expanding digital platforms, and investing in AI-driven content creation to streamline operations and preserve competitiveness in a volatile global trade environment.

The artificial intelligence (AI) generated fashion photography market research report is one of a series of new reports that provides artificial intelligence (AI) generated fashion photography market statistics, including artificial intelligence (AI) generated fashion photography industry global market size, regional shares, competitors with a artificial intelligence (AI) generated fashion photography market share, detailed artificial intelligence (AI) generated fashion photography market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) generated fashion photography industry. This artificial intelligence (AI) generated fashion photography market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial Intelligence (AI)-generated fashion photography refers to the creation of fashion images using AI tools, either in place of or alongside traditional photography setups. It employs algorithms to generate, style, edit, and compose models, outfits, backgrounds, and lighting, producing high-quality visuals with minimal human involvement. This approach enables fashion brands to create diverse and personalized content efficiently while reducing costs and time associated with conventional photo shoots.

The key components of AI-generated fashion photography are software and services. AI-generated fashion photography software refers to programs and digital tools that perform tasks automatically or semi-automatically, such as image generation, editing, background replacement, or virtual model creation. These tools are deployed through various modes, including cloud-based and on-premises solutions, and are used by enterprises of different sizes, including small and medium enterprises and large enterprises, across applications such as advertising, e-commerce, editorial, social media, and virtual try-ons.

The artificial intelligence (AI)-generated fashion photography market consists of revenues earned by entities by providing services such as data annotation services, workflow automation services, digital asset management services, quality assurance and validation services, customization and personalization services, and creative direction and art supervision services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-generated fashion photography market also includes sales of AI pose estimation tools, virtual model creation platforms, virtual photo studio software, fashion image enhancement tools, AI lighting simulation tools, and automated outfit coordination platforms. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.