AI ROI Dataset: 200 B2B Deployments Analysis (2022-2025)
AI ROI Dataset: 200 B2B Deployments Analysis (2022-2025)
This dataset provides empirical analysis of 200 artificial intelligence (AI) deployments in French B2B companies between 2022 and 2025. It documents ROI, deployment durations, cost structures, and failure patterns across multiple sectors and company sizes. Key findings include an 82.5% success rate (vs. 5-20% market benchmark), median ROI of 159.8%, and 88.5% adoption of Human-in-the-Loop governance. The dataset challenges prevailing narratives of AI project failure and provides actionable benchmarks for practitioners.
If you use this dataset, please cite it as below.
ROI, benchmarks, deployment, digital transformation, France, artificial intelligence, B2B, human-in-the-loop
ROI, benchmarks, deployment, digital transformation, France, artificial intelligence, B2B, human-in-the-loop
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
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