Sarson Funds, Inc. published research conducted January-February 2026 identifying which industries are spending the most on private AI and which blockchain-based companies are leading the decentralized AI infrastructure space. The global private AI market is projected at $11.1 billion in 2025, growing to $113.7 billion by 2034, with 58% deployed on-premises. This research matters because it provides critical insights into where capital is flowing in the rapidly expanding private AI sector, which combines artificial intelligence with data privacy and security controls. The findings help investors, enterprises, and technology leaders understand which industries are prioritizing AI investments and which infrastructure providers are enabling decentralized approaches.
The projection of the private AI market growing tenfold from 2025 to 2034 underscores the significant economic implications of this technology shift. With 58% of deployments expected to remain on-premises, organizations are clearly prioritizing data security and control while still seeking AI capabilities. This trend reflects growing concerns about data privacy, regulatory compliance, and proprietary information protection in an increasingly AI-driven business environment. The research identifies specific blockchain-based companies building the infrastructure for decentralized AI, including decentralized compute networks such as Aethir, 0G, Venice AI and Manifest Network. These platforms enable enterprises to run private AI with on-premises security, cloud flexibility and significantly lower infrastructure costs.
The importance of this research extends beyond market projections to practical implementation considerations. By identifying which industries are investing most heavily in private AI, the report provides valuable benchmarking data for companies considering their own AI strategies. The focus on decentralized AI infrastructure highlights a fundamental shift in how AI systems may be deployed and managed in the future, moving away from centralized cloud providers toward distributed networks. This has implications for cost structures, security models, and competitive dynamics in the AI industry. The research also matters because it comes from a digital asset investment firm with specific expertise in early-stage crypto projects and decentralized AI, providing a unique perspective at the intersection of blockchain technology and artificial intelligence.
The growth projections and industry analysis contained in this research have significant implications for technology investment, corporate strategy, and economic development. As private AI adoption accelerates across multiple sectors, understanding which industries are leading this investment and which infrastructure providers are enabling it becomes increasingly important for stakeholders across the technology ecosystem. The identification of specific blockchain companies building decentralized AI infrastructure provides concrete examples of how this emerging field is developing and who the key players are. This information helps frame the competitive landscape and potential partnership opportunities in a market that is expected to exceed $100 billion within a decade.
