Sarson Funds, Inc. has published research conducted in January-February 2026 that identifies which industries are spending the most on private artificial intelligence and which blockchain-based companies are leading the development of decentralized AI infrastructure. The research comes as the global private AI market is projected to reach $11.1 billion in 2025 and grow substantially to $113.7 billion by 2034, with 58% of deployments expected to remain on-premises.
The findings highlight a significant shift in how enterprises approach AI implementation, with growing emphasis on maintaining data privacy and security while leveraging advanced computational capabilities. According to the research, decentralized compute networks are emerging as critical infrastructure that enables enterprises to run private AI with the security benefits of on-premises deployment combined with the flexibility and scalability typically associated with cloud computing. This hybrid approach reportedly offers significantly lower infrastructure costs compared to traditional centralized models.
Specific blockchain-based companies identified as leaders in building this decentralized AI infrastructure include Aethir, 0G, Venice AI and Manifest Network. These platforms are developing the underlying technology that allows organizations to maintain control over their sensitive data while accessing distributed computational resources. The research suggests these companies are positioned to benefit from the accelerating adoption of private AI solutions across multiple industries.
The implications of this research extend beyond technology investment trends to broader considerations about data sovereignty, computational efficiency, and enterprise technology strategy. As industries face increasing regulatory pressure around data privacy and security, the ability to implement AI solutions that keep sensitive information within controlled environments becomes increasingly valuable. The projected market growth from $11.1 billion to $113.7 billion over nine years indicates substantial transformation ahead for how organizations implement artificial intelligence.
For enterprises evaluating AI strategies, the research provides insight into emerging infrastructure options that balance competing priorities of security, flexibility, and cost. The identification of specific blockchain companies leading in decentralized AI infrastructure offers potential indicators of where technological innovation is occurring most rapidly in this space. More information about Sarson Funds is available at https://sarsonfunds.com.
The research findings suggest that industries with particularly sensitive data or stringent regulatory requirements may be among the earliest and most substantial adopters of private AI solutions. As the market expands over the coming decade, the infrastructure developed by blockchain companies could become increasingly integral to enterprise technology ecosystems worldwide. The convergence of private AI and decentralized infrastructure represents a notable development in how computational resources are accessed and managed across global business operations.
