Research published by digital asset investment firm Sarson Funds has identified the industries spending the most on private artificial intelligence systems and the blockchain-based companies building the infrastructure for decentralized AI solutions. The findings come as the global private AI market is projected to grow from $11.1 billion in 2025 to $113.7 billion by 2034, with 58% of deployments expected to remain on-premises rather than in public cloud environments.
The importance of this research lies in its identification of a significant technological shift where industries are increasingly adopting private AI solutions that maintain data security while leveraging decentralized infrastructure. This matters because it represents a fundamental change in how enterprises approach artificial intelligence implementation, balancing the need for data privacy with the computational demands of AI systems. The projected market growth indicates substantial economic investment and technological development in this space over the coming decade.
According to the research, decentralized compute networks are enabling enterprises to run private AI with on-premises security while maintaining cloud flexibility and achieving significantly lower infrastructure costs. Companies identified as leaders in building this decentralized AI infrastructure include Aethir, 0G, Venice AI and Manifest Network. These platforms provide the technological foundation for enterprises to implement private AI solutions without compromising on security or computational power.
The implications of this trend are substantial for multiple stakeholders. For industries under pressure to adopt AI while maintaining data privacy—particularly in regulated sectors like healthcare, finance, and government—these decentralized solutions offer a viable path forward. For technology investors, the research provides insight into emerging companies building the infrastructure layer for what could become a $113.7 billion market. For enterprises considering AI implementation, the findings highlight alternative approaches that balance innovation with security requirements.
This research matters because it documents a critical intersection between two transformative technologies: artificial intelligence and blockchain. The convergence addresses one of the primary barriers to enterprise AI adoption—data security concerns—while potentially reducing infrastructure costs through decentralized models. As more information about Sarson Funds' research becomes available at https://sarsonfunds.com, the findings will likely influence investment decisions and technology adoption strategies across multiple industries facing increasing pressure to implement AI solutions while protecting sensitive data.
