"Nearly a third of firms are seeing almost total failure of their AI proof-of-concept (PoC) projects, while 46 percent are successfully moving more than 10 percent of theirs into operational use. These figures are from Omdia's 2025 AI Market Maturity Survey, which claims that its research reveals a diverse and nuanced picture of the progress of AI adoption in corporations, with some managing to get projects into production while others are still struggling to get theirs off the ground."
"That said, the largest single category is the 31 percent of enterprises that experienced a success rate lower than five percent. Only nine percent reported that more than half of their PoCs were accepted into production. According to Omdia, the chief reason that PoC projects fail is not because of flaws in the particular AI technology being tested, but because both customers and vendors fail to appreciate the complexity involved in an AI deployment."
Enterprise AI adoption shows wide variability: nearly a third of firms report almost total failure of AI PoCs, while 46 percent move more than 10 percent into operational use. The largest single category reports success rates below five percent, and only nine percent see over half their PoCs accepted into production. Failures stem primarily from underestimating deployment complexity by customers and vendors. Successful implementations require identifying a clear business challenge and acknowledging substantial pre-PoC and post-PoC effort. Many companies do not define the human tasks for AI agents, and resource-rich firms run significantly more PoCs than smaller firms.
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