Deep Learning Market Forecast to Reach $296B by 2031
A new report from Mordor Intelligence predicts the global deep learning market will grow at a 35.48% compound annual growth rate between 2026 and 2031. The growth is driven by rising AI adoption, investment in generative AI, and demand for automation. The autonomous systems and robotics sector is expected to grow at an even faster rate of 37.2%.
- The European Union's "Apply AI" strategy aims to make Europe a global leader by creating an ecosystem that links infrastructure, skills, and regulation, with over €690 million invested to support generative AI uptake in the public sector. This is part of a broader goal to foster a "public AI" ecosystem reflecting European values of openness and democracy. However, geopolitical pressures and reliance on non-European tech giants have spurred a drive toward reducing this dependency. - In the Netherlands, a proposed national "AI Delta Plan" calls for significant investment, new legislation, and the appointment of a State Secretary for AI to avoid technological dependence on the U.S. and China. The plan suggests creating experimental zones for autonomous vehicles and expanding AI infrastructure, including a new AI factory in Groningen with about 2,500 GPUs. - Dutch municipalities are actively implementing AI, with guidance from the Association of Netherlands Municipalities (VNG). For instance, the City of Breda saves an average of 14 hours per employee per month using AI for tasks like transcription and information retrieval. The VNG is also developing an AI Governance Framework with cities like Utrecht and Arnhem to ensure responsible and safe use of algorithms. - Digital twins are a key application in Dutch urban planning for climate adaptation and stakeholder communication. Utrecht's digital twin integrates heat maps and underground infrastructure data to inform green space development, while Enschede uses a 3D model to simulate the urban heat island effect and test mitigation strategies. A 2022 study showed that 37.5% of Dutch municipalities with over 100,000 inhabitants were developing digital twin projects. - Researchers at Amsterdam's AMS Institute are exploring generative AI's role in urban planning, investigating how it can enhance citizen participation by translating residents' needs and preferences into design solutions. At the same time, they are cautious about potential drawbacks like loss of local identity, data privacy risks, and the creation of generic urban designs. - The Dutch built environment, which accounts for half the country's resource use, is a key focus for AI applications in the circular economy. The EU-funded Reincarnate project is developing AI-driven tools to improve decision-making in the adaptive reuse of buildings, a complex process vital for achieving the Netherlands' goal of a fully circular economy by 2050. - AI is being integrated into Dutch mobility and transport systems to manage increasing demand. Initiatives like the AI & Mobility Lab at Utrecht University and the AiMTT learning initiative are developing AI solutions for challenges such as traffic congestion, logistics optimization, and sustainable public transport planning.