AI ROI Dataset: 200 B2B Deployments Analysis (2022-2025)

AI ROI Analysis: Evidence from 200 B2B Deployments (2022-2025)ABSTRACT :This working paper presents a comprehensive analysis of Return on Investment (ROI) from 200 AI projects deployed in French B2B companies between 2022 and 2025.Methodology & Data Provenance:Using structured data collection methods including CRM exports, quarterly interviews, and financial audits, we document the reality of AI adoption in SMEs and Mid-Market companies. * Sample: 200 deployments (Rhône-Alpes, France). * Quality Control: 30% of the dataset is cross-validated with financial audits to mitigate self-reporting bias.Key Findings (Audited Metrics): * Median ROI: +159.8% over 24 months (Conservative metric). * Mean ROI: +347% (Driven by outliers, excluded from primary benchmarks). * Success Rate: 73% (Projects reaching production with verified value). * Failure Rate: 27% (Initiatives killed or frozen). * Breakeven: 8 months median time-to-value.Conclusion:Our findings challenge the "bigger is better" assumption: projects with smaller budgets (Dataset:The full anonymized dataset is publicly available on Zenodo (DOI: 10.5281/zenodo.17795133)