TECH & AI16 August 2026· 16 min
Private Equity : le scoring automatisé des cibles d'acquisition change la donne
Les fonds de PE qui déploient des moteurs de scoring IA sur leurs pipelines deal réduisent leur temps de sourcing de 60% et améliorent leur taux de conversion LOI-closing de 2,3x. Méthodologie complète, benchmarks 2024 et cas d'étude Permira, Vista Equity.
SOURCES
[1]McKinsey Global Private Markets Review 2024 — 'The data advantage in private equity deal sourcing'
[2]EY Global Private Equity Survey 2024 — 'Technology adoption and operational transformation in PE'
[3]Preqin Global Private Equity Report Q3 2024 — AUM et statistiques de marché
[4]BCG / MIT Sloan Management Review 2023 — 'Machine Learning in Private Equity: Benchmarking Predictive Models for Deal Screening'
[5]Gompers P. & Mukharlyamov V. (2022) — 'Cognitive Biases and Decision-Making in Venture Capital and Private Equity', Harvard Business School Working Paper
[6]Mergermarket European M&A Intelligence Report 2023 — Durées de processus et statistiques de deal-making mid-market
[7]CalPERS Annual Investment Report 2023 — Performance reporting Vista Equity Fund VII
[8]AFIC (Association Française des Investisseurs pour la Croissance) — Conférence Annuelle 2023, retours d'expérience digitalisation du sourcing
[9]Dealroom.co / White Star Capital — 'Alt Data and AI in European VC/PE Deal Sourcing' 2024
[10]Pitchbook Analyst Note 2024 — 'Proprietary Deal Sourcing: Benchmarks and Best Practices for Mid-Market PE'