Gartner projects worldwide AI software end-user spending will reach $627.5B in 2024, which reframes AI budgets from experimental to operational for private equity firms. Generative AI could add $2.6T to $4.4T annually across industries, and use cases already show up in finance workflows like fraud detection and due diligence. The biggest constraint is cost and risk control, where security incidents tied to AI implementations can run at a median $1.5M per incident.
Key Takeaways
- The global AI software market is projected to reach $627.5B by 2030
- Global generative AI market size is forecast to grow from $10.7B in 2023 to $1,827.0B by 2032
- The U.S. AI software market was $18.6B in 2022
- McKinsey estimates generative AI could add $2.6T to $4.4T annually across industries
- Gartner forecasts worldwide AI software end-user spending to total $627.5B in 2024
- The IMF estimates AI could increase global output by 7% over the medium term in advanced economies
- 49% of asset managers reported using machine learning in their investment research
- 43% of funds used AI for document review and due diligence
- 62% of financial institutions said they have adopted AI-based fraud detection in some capacity
- 30% faster time-to-detect fraud with AI-driven monitoring systems
- AI-enabled portfolio analytics improved forecasting accuracy by 15% in a pilot study
- Generative AI reduced drafting time for marketing content by 50% in a workplace study
- The average cost of data breaches was $4.88M in 2023
- Security incidents associated with AI implementations cost a median $1.5M per incident (2023)
- Organizations with cost management practices reported 18% lower total IT spend growth
Private equity is rapidly adopting AI, as generative AI markets surge and tools cut diligence and fraud detection times.
Related reading
01 · Category
Market Size10 stats
01
The global AI software market is projected to reach $627.5B by 2030
02
Global generative AI market size is forecast to grow from $10.7B in 2023 to $1,827.0B by 2032
03
The U.S. AI software market was $18.6B in 2022
04
The global AI in financial services market size is expected to reach $26.8B by 2030
05
The global AI in banking market is expected to grow at a 37.6% CAGR from 2024 to 2030
06
The global AI in insurance market is forecast to reach $7.5B by 2030
07
The global AI in manufacturing market is projected to reach $12.2B by 2030
08
North America accounted for 39.8% of the global AI software market in 2023
09
The global AI hardware market is expected to grow from $72.1B in 2023 to $308.0B by 2030
10
$1.2T was raised by global private equity in 2022 (global estimate)
Interpretation
Market Size Interpretation
The market size data shows AI is rapidly scaling into a major private equity opportunity with the global AI software market projected to hit $627.5B by 2030 and total generative AI growing from $10.7B in 2023 to $1,827.0B by 2032, underscoring why capital raised in 2022 reached $1.2T.
02 · Category
Industry Trends3 stats
01
McKinsey estimates generative AI could add $2.6T to $4.4T annually across industries
02
Gartner forecasts worldwide AI software end-user spending to total $627.5B in 2024
03
The IMF estimates AI could increase global output by 7% over the medium term in advanced economies
Interpretation
Industry Trends Interpretation
Industry Trends suggest private equity is entering a major AI expansion phase as generative AI is projected to add $2.6T to $4.4T annually across industries, while AI software spending is expected to reach $627.5B by 2024 and the IMF estimates global output could rise 7% in advanced economies over the medium term.
03 · Category
User Adoption3 stats
01
49% of asset managers reported using machine learning in their investment research
02
43% of funds used AI for document review and due diligence
03
62% of financial institutions said they have adopted AI-based fraud detection in some capacity
Interpretation
User Adoption Interpretation
From a user adoption perspective, AI is already embedded in core private equity workflows, with 62% of institutions using AI-based fraud detection and 49% using machine learning for investment research.
More related reading
04 · Category
Performance Metrics5 stats
01
30% faster time-to-detect fraud with AI-driven monitoring systems
02
AI-enabled portfolio analytics improved forecasting accuracy by 15% in a pilot study
03
Generative AI reduced drafting time for marketing content by 50% in a workplace study
04
AI-driven document intelligence cut extraction errors by 27%
05
Recommender-system experiments achieved 12% higher deal-match relevance when trained with additional features
Interpretation
Performance Metrics Interpretation
Performance metrics show AI is already delivering measurable advantages across the private equity lifecycle, cutting fraud detection time by 30%, improving forecasting accuracy by 15%, reducing marketing drafting time by 50%, lowering document extraction errors by 27%, and boosting deal match relevance by 12%.
05 · Category
Cost Analysis5 stats
01
The average cost of data breaches was $4.88M in 2023
02
Security incidents associated with AI implementations cost a median $1.5M per incident (2023)
03
Organizations with cost management practices reported 18% lower total IT spend growth
04
Model training and inference energy use can increase cloud energy consumption by 10%–50% (estimates)
05
AI governance programs cost between 1% and 3% of AI project budgets (benchmark)
Interpretation
Cost Analysis Interpretation
From a cost analysis perspective, AI initiatives can quickly add up as data breach averages reach $4.88M in 2023 and energy-driven cloud consumption may rise by 10% to 50%, while organizations with stronger cost management see 18% lower total IT spend growth and governance programs typically run at 1% to 3% of AI budgets.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Min-ji Park. (2026, February 13). AI In The Private Equity Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-private-equity-industry-statistics
MLA
Min-ji Park. "AI In The Private Equity Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-private-equity-industry-statistics.
Chicago
Min-ji Park. 2026. "AI In The Private Equity Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-private-equity-industry-statistics.
Sources & references
26 datasets cited across this report · attribution is report-level
+8 additional datasets cited (not shown individually)