Deep Learning Market Projected to Surpass $296B by 2031
The global deep learning market is predicted to grow to over $296 billion by 2031, with a compound annual growth rate of 35.48% for 2026-2031. A new report from Mordor Intelligence attributes this growth to widespread AI adoption, investments in generative AI, and demand for automation.
- Luxury brands have increased their investment in artificial intelligence by 79% over the last three years, totaling more than $360 million. This investment is targeted at enhancing customer experiences, streamlining supply chains, and protecting brand identity against counterfeits. - Generative AI is being used to create marketing campaigns with greater speed and cost-efficiency. For its "Moncler Genius" campaign, Moncler collaborated with creative agency Maison Meta to produce all striking visuals for collaborations with Adidas Originals and Pharrell Williams in approximately two weeks. - LVMH has established an internal "AI Factory" to support its 75 brands, including Dior and Louis Vuitton. This initiative focuses on using AI for trend forecasting, personalization, and providing creative teams with tools for AI-assisted content generation, such as creating mood boards. - Major fashion houses are using AI to reimagine their archives for modern audiences. Burberry, for example, used AI to animate a 1980s photograph of Lord Lichfield for a digital campaign, blending heritage with new technology to engage consumers. - While some brands experiment with fully AI-generated campaigns, many are using the technology to create "campaign extensions." This involves using AI to produce dozens of additional assets for social and digital channels that match the aesthetic of a real-world photoshoot, expanding the campaign's reach without the cost of additional shooting days. - The virtual try-on market, a key application of deep learning, is projected to expand from $7.25 billion in 2025 to over $17 billion by 2033. This growth is driven by AI's ability to create more realistic simulations of how garments fit and drape on various body types, which helps to increase buyer confidence and reduce returns. - AI is also being integrated directly into the design process. Supply chain startup Cala was the first to incorporate DALL-E's API, allowing designers to generate realistic product images and illustrations from text descriptions or reference images, which can then be refined for production. - Fashion and beauty brands are leveraging deep learning for hyper-personalization. Dior uses AI to provide fragrance recommendations based on customer preferences, while other LVMH brands use AI tools to tailor client communications based on purchase history.