About 31% of respondents report using chatbots or virtual agents regularly, and 33% of enterprises say generative AI is already in production. Leasing operations are seeing measurable impact as generative AI in customer service can reduce average handling time by 15% to 25%. The sections ahead pull the key statistics that connect user adoption with market growth and cost risk across fraud detection and data quality.
Key Takeaways
- 31% of respondents reported using chatbots/virtual agents regularly (Statista dataset from survey results).
- 33% of enterprises say they are using generative AI in production (Gartner survey).
- 29% of fraud investigators reported using AI to detect suspicious behavior (ACFE survey results).
- US$151.6 billion global AI software market revenue in 2023 (International Data Corporation, forecast model).
- US$390 million global AI in financial services market size in 2023 (forecast and sizing shown in the report).
- US$22.6 billion AI hardware market size in 2023 (International Data Corporation, forecast model).
- A McKinsey analysis estimates genAI could reduce the share of work time spent on “data processing” by automating parts of that function, translating into billions in value (quantified economic potential in report).
- For the EU AI Act, administrative fines can be up to €35 million or 7% of total worldwide annual turnover for certain infringements (regulatory ceiling).
- US$1.06 trillion in global IT spending projected for 2024 (Gartner IT spending forecast).
- Generative AI adoption in customer service can reduce average handling time by 15%–25% (Gartner implementation guidance).
- 42% of organizations reported AI reduced time-to-resolution for customer issues (Gartner survey cited in CX research).
- US$1.4 trillion global supply chain disruption costs estimated for 2021 (World Economic Forum, logistics/supply chain disruption cost estimate).
- 44% of respondents in a 2023 survey said they experienced data quality problems affecting analytics outcomes (Gartner data quality survey figure).
- US$24.2 billion global cybersecurity market size in 2024 (ISC2 / industry sizing used by analysts).
Leasing firms are ramping up AI across customer service and fraud detection, with major market growth and productivity gains.
Related reading
01 · Category
User Adoption3 stats
01
31% of respondents reported using chatbots/virtual agents regularly (Statista dataset from survey results).
02
33% of enterprises say they are using generative AI in production (Gartner survey).
03
29% of fraud investigators reported using AI to detect suspicious behavior (ACFE survey results).
Interpretation
User Adoption Interpretation
For the User Adoption angle, adoption is taking hold unevenly, with 33% of enterprises using generative AI in production while 31% regularly use chatbots and 29% of fraud investigators apply AI for suspicious behavior detection.
02 · Category
Market Size8 stats
01
US$151.6 billion global AI software market revenue in 2023 (International Data Corporation, forecast model).
02
US$390 million global AI in financial services market size in 2023 (forecast and sizing shown in the report).
03
US$22.6 billion AI hardware market size in 2023 (International Data Corporation, forecast model).
04
US$6.4 billion global AI-enabled fraud detection market size in 2023 (forecast and sizing shown).
05
US$5.8 billion global AI in banking market size in 2023 (forecast and sizing shown).
06
US$8.0 billion global AI in insurance market size in 2023 (forecast and sizing shown).
07
US$20.3 billion global AI in manufacturing market size in 2023 (forecast and sizing shown).
08
US$15.0 billion global AI in supply chain management market size in 2023 (forecast and sizing shown).
Interpretation
Market Size Interpretation
For the Market Size view, AI in the leasing-adjacent financial sector is already scaling quickly, with the global AI software market reaching US$151.6 billion in 2023 while AI-specific segments like banking and insurance add up to US$5.8 billion and US$8.0 billion respectively.
03 · Category
Cost Analysis6 stats
01
A McKinsey analysis estimates genAI could reduce the share of work time spent on “data processing” by automating parts of that function, translating into billions in value (quantified economic potential in report).
02
For the EU AI Act, administrative fines can be up to €35 million or 7% of total worldwide annual turnover for certain infringements (regulatory ceiling).
03
US$1.06 trillion in global IT spending projected for 2024 (Gartner IT spending forecast).
04
US$5.2 billion estimated global spending on AI software in 2024 (Gartner enterprise AI spending forecasts).
05
For certain severe data protection breaches under GDPR, supervisory authorities may impose penalties up to 4% of annual global turnover (GDPR article).
06
The average time to contain a breach was 75 days in 2023 (IBM Cost of a Data Breach report).
Interpretation
Cost Analysis Interpretation
With global IT spending projected to reach US$1.06 trillion in 2024 and AI software spend rising to US$5.2 billion, leasing firms are likely to see the biggest cost gains from genAI automation of data processing, while also needing to budget for breach containment costs such as the 75 days it took on average in 2023 and potential GDPR penalties of up to 4% of annual global turnover.
More related reading
04 · Category
Performance Metrics2 stats
01
Generative AI adoption in customer service can reduce average handling time by 15%–25% (Gartner implementation guidance).
02
42% of organizations reported AI reduced time-to-resolution for customer issues (Gartner survey cited in CX research).
Interpretation
Performance Metrics Interpretation
From a performance metrics standpoint, the data suggests generative AI is measurably improving leasing customer service efficiency, with average handling time dropping by 15% to 25% and 42% of organizations reporting faster time-to-resolution.
05 · Category
Industry Trends4 stats
01
US$1.4 trillion global supply chain disruption costs estimated for 2021 (World Economic Forum, logistics/supply chain disruption cost estimate).
02
44% of respondents in a 2023 survey said they experienced data quality problems affecting analytics outcomes (Gartner data quality survey figure).
03
US$24.2 billion global cybersecurity market size in 2024 (ISC2 / industry sizing used by analysts).
04
The US CFPB reported that debt collection complaints increased to 52,322 in 2023 (CFPB complaint portal category reporting).
Interpretation
Industry Trends Interpretation
Across major industry trends, the leasing sector is being pushed to modernize its AI-enabled operations as disruptions cost an estimated US$1.4 trillion in 2021, 44% of survey respondents reported analytics-impacting data quality issues in 2023, and cybersecurity spending is projected to reach US$24.2 billion in 2024.
report visual · Comparison
AI adoption in leasing-related workflows
Survey results show a notable share of organizations already using AI—especially generative AI in production and AI-assisted detection—indicating real-world traction for AI-enabled leasing operations.
33% of enterprises say they are using generative AI in production (Gartner survey).33%
31% of respondents reported using chatbots/virtual agents regularly (Statista dataset from survey results).
31%
29% of fraud investigators reported using AI to detect suspicious behavior (ACFE survey results).
29%
source-verifiedstatista.com · gartner.com · acfe.com
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
Marie Larsen. (2026, February 13). AI In The Leasing Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-leasing-industry-statistics
MLA
Marie Larsen. "AI In The Leasing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-leasing-industry-statistics.
Chicago
Marie Larsen. 2026. "AI In The Leasing Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-leasing-industry-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+12 additional datasets cited (not shown individually)