Gitnux/Report 2026

AI Insurance Industry Statistics

See how AI is reshaping insurance outcomes in 2025, from pricing and underwriting speed to measurable shifts in claims and fraud signals. You will compare where automation is already winning to where the data still exposes blind spots in risk decisions.
267Statistics
68Sources
12Sections
1Visuals
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November 10, 2026Updated
AI Insurance Industry Statistics
Alexander SchmidtWritten by Alexander Schmidt·Edited by James Okoro·Fact-checked by Jonathan Hale
Published ·Updated
How this report is researched
01Editorial Scope

Before any source is gathered, an editor locks the question, what qualifies, and how the piece will be judged.

02Source Research

Search agents collect the source set and pull each data point out with its provenance attached.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai insurance industry at a glance

AI insurance is moving from pilots toward scaled deployment: the global AI-in-insurance market is estimated at $10.8 billion in 2025 and forecast to reach $45.1 billion by 2030.

$10.8B
AI insurance market, 2025
33%
Forecast CAGR, 2023–2030
65%[3]
EU insurers using GenAI, 2025
45%[22]
AI-native InsurTech financings, 2025
Market size
The AI-in-insurance market was estimated at $10.8 billion in 2025, up from $6.1 billion in 2023. Houlihan Lokey’s cited forecast reaches $45.1 billion by 2030.
Forecast & CAGR
The market is projected to expand at a 33% CAGR from 2023 through 2030, with estimated market size increasing from $6.1 billion to $45.1 billion.
Market share & regions
EIOPA’s 2025 survey covered 347 insurance undertakings across 25 EU and EEA countries. The report provides broad regional adoption coverage, but does not publish a comparable AI-insurance market-share split by region.[3]
Segmentation
In EIOPA’s 2025 European survey, 64% of reported GenAI use cases were internal back-office applications and 36% were customer-facing. The most active insurance functions were customer service, claims management, and sales and distribution; fraud detection had the highest planned future adoption.[3]
Key players & concentration
AI-native companies or companies using AI since founding accounted for 45% of InsurTech financings in 2025. No reliable source reviewed provides a market-share or concentration ratio for AI-insurance vendors.[22]
Pricing
A survey of more than 50 executives from Europe’s largest insurers found that over half expected GenAI adoption to produce 1.5%–3% premium growth and 1.5–3 percentage-point improvements in technical results. The same respondents anticipated 10%–20% productivity improvements.[36]
Trends, drivers & challenges
Efficiency and cost reduction are the leading adoption drivers. EIOPA identified privacy, regulation, and talent as the main barriers, while AM Best reported that data readiness, security and privacy, and legacy-system integration were the largest deployment impediments in 2026.[3]
Consumer behavior & competition
The Geneva Association surveyed 6,000 insurance customers in February 2025 across China, France, Germany, Japan, the United Kingdom, and the United States. Customers reported exposure to both insurer-provided GenAI tools and general-purpose tools such as ChatGPT for reviewing policies, clarifying terms, and comparing product costs and benefits.[36]
M&A
InsurTech M&A reached a record 190 deals and more than $22 billion in total volume in 2025. Notable AI-related transactions included Applied Systems’ acquisition of Cytora and Global Indemnity’s acquisition of Sayata, an AI-enabled commercial-insurance distribution platform.[22][58][59]
Regulation
The EU AI Act classifies AI systems used for risk assessment and pricing of natural persons in life and health insurance as high-risk. In the United States, the NAIC was developing an AI Systems Evaluation Tool in 2025 and 2026 to help regulators assess insurers’ AI use, governance, risk mitigation, and high-risk models.[60][2]
Latest news
In April 2026, AM Best reported that nearly 60% of surveyed carriers and managing general agents expected AI to significantly transform their business models within one to three years. The survey also found that data readiness, security and privacy, and legacy integration were slowing implementation.

02 Ranking

Top 10 Companies in the Ai Insurance Industry

The leading companies in the ai insurance industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

Lemonade leads Gitnux's 2026 ai insurance ranking with an Overall score of 9.1, with AI Maya and its APIs sell 98% of its policies. Coalition is the highest-ranked insurance coverage provider at 8.9, backed by affirmative AI coverage for AI security events and deepfake-triggered fraud.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in AI-led personal lines underwriting

    Lemonade

    US

    Ranked #1 · 9.1 · AI-led personal lines underwriting

    Why we picked it: Its AI-led insurance sales are tied to an API-driven workflow, with 98% of policies sold.

    See in ranking ↓Visit lemonade.com ↗

  2. Leader in AI cyber and liability coverage

    Coalition

    US

    Ranked #2 · 8.9 · AI cyber and liability coverage

    Why we picked it: Its AI-focused cyber and technology insurance explicitly covers AI security events and deepfake-triggered fraud.

    See in ranking ↓Visit coalitioninc.com ↗

  3. Leader in telematics-based digital auto

    Root

    US

    Ranked #3 · 8.9 · Telematics-based digital auto

    Why we picked it: Its telematics-based auto underwriting uses data science, reflected in 29% revenue growth and 4.1% margin.

    See in ranking ↓Visit joinroot.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

Sort by
Top 10 companies in the ai insurance industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Lemonade

AI-led personal lines underwriting · US

9.1
2

Coalition

AI cyber and liability coverage · US

8.9
3

Root

Telematics-based digital auto · US

8.9
4

Oscar Health

Technology-enabled health insurance · US

8.8
5

Hippo

Connected-home homeowners insurance · US

8.8
6

ZhongAn Online P&C Insurance

Internet-based property and casualty insurance · CN

8.6
7

AIUC

AI liability insurance through an MGA model · US

8.5
8

Cowbell

AI-native cyber and AI liability insurance · US

8.5
9

Relm Insurance

AI liability insurance for technology companies · BM

8.4
10

Armilla

Standalone AI liability and performance insurance · CA

8.2

How we score

  • Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
  • Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
  • Momentum (20%): growth trajectory and future potential.
  • Innovation (15%): R&D intensity and how technologically advanced the company is.

Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.

Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.

Cadence Recalculated when new figures are published; next review December 10, 2026.

Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.

Cite this ranking

APA

Alexander Schmidt. (2026, February 13). Top 10 companies in the ai insurance industry. In AI Insurance Industry Statistics. Gitnux. https://gitnux.org/ai-insurance-industry-statistics/#top-companies

report visual · Breakdown

Reported generative AI use cases by application type among insurance undertakings (European Economic Area)

Back-office applications holds the largest share at 64%.

64%
Back-office applications
36%
Customer-facing applications
source-verifiedeiopa.europa.eu

04 Statistics

Technology & Innovation

Adoption is widespread but uneven: EIOPA reported 65% of 347 undertakings actively using generative AI in 2025, while many use cases remain internal.

AI in the ai insurance industry

  • 95% of U.K. insurance firms reported using AI in a 2024 Bank of England and Financial Conduct Authority survey.[1]
  • 58% of 161 U.S. life insurers reported using, planning to use, or exploring AI or machine-learning models.[2]
  • 84% of surveyed U.S. health insurers reported currently using AI or machine learning in some capacity.[2]
  • 65% of 347 insurance undertakings across 25 EEA countries were actively using generative AI in 2025.[3]
  • 88% of 193 U.S. private-passenger auto insurers reported using, planning to use, or exploring AI or machine-learning models.[2]
  • 92% of 93 U.S. health insurers reported using, planning to use, or exploring AI or machine-learning models.[2]

Automation in the ai insurance industry

  • Over 50% of NAIC survey respondents across four insurance segments reported using, planning to use, or exploring AI or machine learning in marketing.[2]
  • Over 60% of homeowners and life insurers responding to NAIC surveys reported current or expected future AI or machine-learning use in underwriting.[2]
  • Over 50% of NAIC survey respondents across four insurance segments reported using, planning to use, or exploring AI or machine learning in claims.[2]
  • 49% of surveyed property-and-casualty insurers planned to incorporate AI into analytics in 2024.[4]
  • 64% of reported generative-AI use cases among European insurers were focused on internal back-office operations in 2025.[3]
  • 36% of reported generative-AI use cases among European insurers were customer-facing in 2025.[3]

Digital Transformation in the insurance sector (sector benchmark)

  • 13% of UK insurance professionals surveyed said their operations were fully digitized, while 79% considered digital transformation important or extremely important for competitiveness.[5]
  • 46% of global insurers were classified as having digital aspirations in ACORD’s 2025 maturity study, meaning they had explicit digitalization investment but remained on the transformation journey.[6]
  • 25% of the world’s 210 largest insurers had fully digitalized their value chain in ACORD’s 2025 study, while 46% were still investing in digitalization without completing the transformation.[6]
  • 45% of surveyed global insurance companies identified legacy technology systems and infrastructure as their biggest barrier to adopting digital tools and new ways of working.[7]

Technology Adoption in the insurance sector (sector benchmark)

  • 76% of US insurance executives surveyed by Deloitte had implemented generative AI in at least one business function in 2024, including 82% of life-and-annuity insurers and 70% of property-and-casualty insurers.[8]
  • 78% of global property-and-casualty insurers surveyed by Bain were using generative AI in some capacity in 2025, but only 4% had scaled it across their organizations.[9]
  • 95% of UK insurance firms responding to the Bank of England’s 2024 survey were already using artificial intelligence, the highest adoption rate among surveyed financial-services sectors.[10]
  • 65% of European insurance undertakings surveyed by EIOPA were already actively using generative AI in 2025, with another 23% planning adoption.[3]

Cloud Computing in the insurance sector (sector benchmark)

  • 78% of Insurance Ireland CEOs surveyed planned future use of cloud technology in 2025, despite already reporting 94% current adoption.[11]
  • Gartner reported in 2024 that industry cloud platforms were highly valued by insurance respondents to its Cloud End-User Behavior Survey, indicating strong interest in sector-specific cloud environments.[12]
  • Cloud computing and data-science techniques were described as well embedded across many Irish insurance companies in a 2025 CEO survey covering 37 respondents.[11]
  • 94% of Insurance Ireland CEOs surveyed said their companies currently adopted cloud technology in 2025, making it the most widely adopted innovative technology in the survey.[11]

Big Data in the insurance sector (sector benchmark)

  • 50% of European non-life insurers and 24% of life insurers reported using artificial intelligence in their operations in EIOPA’s 2023 digitalization survey.[3]
  • 64% of reported generative-AI use cases among European insurers were for internal back-office applications in EIOPA’s 2025 survey, compared with 36% for customer-facing applications.[3]
  • 75% of Insurance Ireland CEOs surveyed said their companies currently adopted data science or analytics in 2025, making it the second-most adopted innovative technology in the survey.[11]
  • 65% of European insurance undertakings surveyed by EIOPA used generative AI in 2025, with reported applications spanning customer service, claims management, sales and distribution, and data analysis.[3]

Blockchain in the ai insurance industry

  • 80% of insurance C-suite executives surveyed by Boston Consulting Group believed blockchain could enable efficiencies.[13]
  • USD 4.06 billion was the estimated blockchain-in-insurance market size in 2024.[14]

05 Statistics

Data & Analytics

Data governance and monitoring show up as gating items, with 79% of insurers wanting monitoring and auditing of AI data plus clear privacy and security policies in 2025.

Business intelligence in the ai insurance industry

  • 49% of U.S. and Canadian property-and-casualty insurers planned to incorporate AI into analytics in 2024.[4]
  • 40% of U.S. and Canadian property-and-casualty insurers expected to use advanced analytics for claims triage by 2026.[4]
  • 27% of insurance decision-makers were already using synthetic data for generative-AI models in 2024.[4]
  • 93 U.S. health insurance companies participated in the NAIC AI/ML survey conducted from November 2024 to January 2025.[2]
  • Nearly 92% of surveyed U.S. health insurers had AI/ML governance principles aligned with NAIC principles in 2025.[2]
  • 33% of U.S. and Canadian property-and-casualty insurers were using advanced analytics for claims triage in 2024.[4]

Data analytics in the ai insurance industry

  • 54% of insurance professionals described their generative-AI governance and monitoring training as minimal in 2024.[4]
  • 57% of insurance respondents said their generative-AI governance framework was in development in 2024.[4]
  • Insurers using more sophisticated analytics achieved premium growth three percentage points higher than slower adopters between 2022 and 2024.[4]
  • 79% of insurers wanted monitoring and auditing of AI data plus clear privacy and security policies in 2025.[15]
  • Insurers using more sophisticated analytics achieved combined ratios six percentage points lower than slower adopters between 2022 and 2024.[4]
  • 68% of insurers were investing in automated data entry for generative-AI-enabled insurance operations in 2025.[15]

Data Quality in the insurance sector (sector benchmark)

  • 45% of insurers globally cited receiving relevant asset data within required timeframes as an operational challenge in 2024.[16]
  • 71% of UK insurers and brokers reported duplicate data as a data challenge in 2025.[17]
  • 53% of insurance respondents globally identified access to external data as a fraud-response challenge in 2024.[18]
  • 61% of insurance respondents globally identified internal data quality as their biggest challenge in fraud response in 2024.[18]
  • 39% of insurers globally cited asset data management as an operational challenge in 2024.[16]
  • 63% of UK insurers and brokers reported distrust in data as a data challenge in 2025.[17]

Data Governance in the insurance sector (sector benchmark)

  • 17% of UK insurers and brokers had a unified data platform supporting integrations from multiple data sources in 2025.[17]
  • 65% of insurance executives said data governance was a focus of their data strategy in 2026.[19]
  • 55% of insurance executives said data security and privacy were a focus of their data strategy in 2026.[19]
  • 67% of UK insurers and brokers followed manual processes for customer financial-crime risk assessments in 2025.[17]
  • 48% of insurance executives said risk management and compliance were a focus of their data strategy in 2026.[19]

KPIs in the ai insurance industry

  • The share of UK insurtech firms focusing KPIs on operational metrics increased by 10 percentage points by 2025.[20]
  • The share of UK insurtech firms focusing KPIs on product and customer metrics fell by 4 percentage points by 2025.[20]
  • Data quality was the top operational KPI focus among UK insurtech firms in 2025.[20]
  • The share of UK insurtech firms focusing KPIs on cost, margin and cash flow increased by 28 percentage points by 2025.[20]
  • 57% of UK insurtech firms intended to focus KPIs on cost in 2025, compared with 29% in 2023.[20]
  • 29% of UK insurtech firms intended to focus KPIs on operational metrics in 2025, compared with 19% in 2023.[20]

06 Statistics

Strategy & Growth

Funding and M&A keep concentrating around AI underwriting and distribution infrastructure, with InsurTech M&A reaching 190 deals and more than $22B volume in 2025.

Growth in the ai insurance industry

  • Global InsurTech funding reached $5.08 billion in 2025, increasing 19.5% year over year.[21]
  • P&C InsurTech funding reached $3.49 billion in 2025, up 34.9% from 2024.[21]
  • Global InsurTech funding rose 66.8% quarter over quarter to $1.68 billion in Q4 2025.[21]
  • Insurance third-party administrators recorded average annual growth of 15% over the five years through 2025.[20]

Differentiation in the ai insurance industry

  • AI-centered InsurTechs accounted for 61.2% of deals in Q1 2025.[21]
  • AI-focused InsurTechs accounted for 34.6% of global InsurTech deals during 2024.[21]
  • AI-native InsurTech companies raised $1.9 billion in financing during 2025.[22]
  • AI-focused InsurTechs accounted for 42.3% of global InsurTech deals in Q4 2024.[21]
  • 45% of InsurTech financing rounds were raised by AI-native companies in 2025.[22]

Mergers and acquisitions in the ai insurance industry

  • InsurTech M&A transaction count increased 39% year over year in 2025.[22]
  • Stone Point Capital and CPP Investments valued their majority acquisition of OneDigital at $7.2 billion in 2025.[22]
  • InsurTech M&A reached $22.6 billion across 190 transactions in 2025.[22]
  • Munich Re’s acquisition of Next Insurance was valued at $2.6 billion in 2025.[22]
  • InsurTech M&A volume increased 366% year over year in 2025.[22]

Strategic partnerships in the ai insurance industry

  • 45 venture-technology investments were made by reinsurance and insurance companies in Q4 2024.[21]
  • 60.0% of insurer and reinsurer technology investments in Q1 2025 targeted U.S.-based companies.[21]
  • Five insurer and reinsurer investors made at least three technology investments each in Q1 2025.[21]
  • Reinsurers and insurers made 45 technology investments in Q1 2025, with 31.1% directed to early-stage companies.[21]

07 Statistics

People & Workforce

AI skills appear in hiring and capability gaps persist for scaled delivery; 72% of U.S. insurance job postings required AI-related skills in 2025.

Hiring in the ai insurance industry

  • 72% of the U.S. insurance job postings analyzed by Shift Technology required AI-related skills in 2025.[23]
  • 48 of 67 U.S. insurance job postings analyzed by Shift Technology required AI-related skills in 2025.[23]

Remote Work in the insurance sector (sector benchmark)

  • Across U.S. insurance companies, 22% said in 2025 that most of their staff worked fully remotely.[24]
  • Across U.S. finance and insurance employees, 30% worked fully from home during the December 2024–March 2025 survey period.[25]
  • Across U.S. finance and insurance workers, 13.4% reported remote work in the Chicago Fed survey covering July 2021 through March 2024.[26]
  • Across North American insurance and actuarial professionals, 89% said in 2025 they had the option to work remotely.[27]

Hybrid Work in the insurance sector (sector benchmark)

  • Across 116 UK insurance companies, 19% expected their hybrid-working policy to become more restrictive in 2025.[28]
  • Among finance, insurance and real-estate employers in the United States, 55.8% were classified as fully hybrid in the 2024 NACE employer survey.[29]
  • Across U.S. finance and insurance employees, 38% worked in hybrid arrangements during the December 2024–March 2025 survey period.[25]
  • Across U.S. finance and insurance workers, 28.7% were in hybrid work environments as of September 2024.[30]

Upskilling in the ai insurance industry

  • 56% of commercial-property-and-casualty insurers said their workforce had the skills and capabilities to implement generative AI to a good extent in 2025.[15]
  • 4% of insurance-industry respondents said they had no generative-AI training in a 2024 SAS and Coleman Parkes survey.[4]
  • 60% of insurers said their workforce had the skills and capabilities to implement generative AI to a good extent in 2025.[15]
  • 35% of insurance-industry respondents said their generative-AI training was adequate in a 2024 SAS and Coleman Parkes survey.[4]
  • 44% of life-and-annuity insurers said their workforce had the skills and capabilities to implement generative AI to a good extent in 2025.[15]

Employee Engagement in the insurance sector (sector benchmark)

  • Among U.S. employees surveyed by Gallup, 16% were actively disengaged in 2023, providing an economy-wide benchmark for insurance employers.[31]
  • Among workers newly hired into property and casualty insurance during the previous five years, about one-third valued engaging and interesting work in a 2025 poll.[30]
  • Across insurance employees surveyed by APQC in the first half of 2024, employee experience priorities and engagement gaps were measured across insurance organizations.[32]
  • Across U.S. employees, 33% were engaged in their work and workplace in 2023, an economy-wide benchmark relevant where insurance-specific engagement data are limited.[31]

Change Management in the insurance sector (sector benchmark)

  • Across 53 insurance transformation leaders, 44% placed their organizations in the top quartile for AI transformation in 2026.[19]
  • Across 200 global insurance executives, 73% planned to change their core insurance management technology within three years in 2025.[33]
  • Across 200 global insurance executives, 45% identified legacy technology as a major barrier to adopting digital tools and new ways of working in 2024.[7]
  • Across property and casualty insurers, 28% of AI investment went to change management, including employee and leadership training, in 2026.[34]
  • Among global insurance chief risk officers, 75% reported increased involvement in major enterprise-wide change initiatives in 2025.[35]

08 Statistics

Customer & Sales

Customer interaction expectations shift toward speed and explicit AI identification: 89% of U.S. consumers said they would switch for faster responses, and 79% said AI identity matters.

Customer experience in the ai insurance industry

  • 45% of insurance customers surveyed across six major markets in 2025 identified chatbots or virtual assistants for FAQs and 24/7 support as a GenAI use case.[36]
  • 17% of US insurance consumers in 2026 said AI made their latest insurance-buying experience worse.[37]
  • 89% of US insurance consumers in 2026 said they would switch to a competitor that responds faster.[37]
  • 37% of insurance customers surveyed across six major markets in 2025 favored insurers using GenAI in customer interactions.[36]
  • 79% of US insurance consumers in 2026 said it matters that a brand’s AI identifies itself during interactions.[37]

Customer retention in the ai insurance industry

  • 89% of US insurance consumers in 2026 said they would switch insurers when a competitor responds faster.[37]
  • 5% to 10% is the retention improvement BCG associates with AI-driven retention programs in insurance.[38]
  • 20% was the reported increase in customer retention at Sabadell Seguros after Zurich’s AI-supported Voice IQ tool was introduced.[8]
  • 56% of insurers surveyed in 2025 prioritized automated forecasting of customers’ future needs using customer data.[15]
  • 68% of insurers surveyed in 2025 prioritized cross-selling value-added products through chatbots, rising to 76% among life and annuity insurers.[15]

Customer acquisition in the ai insurance industry

  • 36% of global insurance survey respondents in 2025 used or considered AI for marketing and client acquisition.[39]
  • 53% of US health insurers using, planning or exploring AI/ML to identify sales opportunities had implemented it in production in 2025.[2]
  • 27% of US health insurers surveyed in 2025 used, planned to use or explored AI/ML to identify sales opportunities.[2]
  • 46% of insurers surveyed in 2025 prioritized an advisor copilot for the sales force.[15]
  • 49% of US insurance consumers in 2026 used generative AI to research an insurance purchase in 2025, according to the year-over-year comparison reported by Invoca.[37]

Customer loyalty in the ai insurance industry

  • 59% of US insurance consumers in 2026 said it matters a great deal that a brand’s AI identifies itself.[37]
  • 79% of US insurance consumers in 2026 said clear identification of a brand’s AI matters during customer interactions.[37]
  • 25% of US health insurers surveyed in 2025 used, planned to use or explored AI/ML for targeted online advertising to consumers.[2]
  • 20% was the increase in customer retention reported for Sabadell Seguros after Zurich introduced its AI-supported Voice IQ tool.[8]
  • 60% of consumers in a 2025 insurance survey rated their insurer’s communications as good or excellent.[40]

Lead generation in the ai insurance industry

  • 18% of life insurers in a US regulatory survey used AI/ML to identify potential customer groups for marketing insurance products.[2]
  • 53% of US health insurers using, planning or exploring AI/ML to identify mail or phone advertising recipients had implemented it in production in 2025.[2]
  • 24 life insurers in a US regulatory survey used AI/ML for targeted online advertising.[2]
  • 19 life insurers in a US regulatory survey used AI/ML to identify recipients of mail or phone advertising.[2]
  • 23% of US health insurers surveyed in 2025 used, planned to use or explored AI/ML to identify recipients of mail or phone advertising.[2]

09 Statistics

Marketing & Brand

Insurers use GenAI where measurable customer communication applies, while concerns remain about errors and lack of oversight in AI communications.

Marketing in the ai insurance industry

  • 53% of US health insurers using, planning or exploring AI/ML for mail or phone advertising had implemented it in production in 2025.[2]
  • 44% of US health insurers using, planning or exploring AI/ML for targeted online advertising had implemented it in production in 2025.[2]
  • 39% of US health insurers surveyed in 2025 used, planned to use or explored AI/ML for online advertising targeted toward consumers.[2]
  • 68% of insurers surveyed in 2025 prioritized cross-selling value-added products through chatbots.[15]
  • 56% of insurers surveyed in 2025 prioritized direct-to-customer personalized advertising or messaging.[15]

Digital marketing in the ai insurance industry

  • 46% of insurers surveyed in 2025 prioritized simplified form auto-population based on predictive analytics.[15]
  • 24 life insurers in a US regulatory survey used AI/ML for targeted online advertising in 2024.[2]
  • 45% of insurance customers surveyed across six major markets in 2025 identified chatbots or virtual assistants for FAQs and 24/7 support as a GenAI application.[36]
  • 7 life insurers in a US regulatory survey used AI/ML for direct online sales in 2024.[2]
  • 34% of insurers surveyed in 2025 prioritized auto-generated custom educational content for customers.[15]

Branding in the ai insurance industry

  • 40% of insurance customers surveyed in 2025 cited potential errors as a concern about AI in customer communications.[41]
  • 45% of insurance customers surveyed in 2025 cited lack of human oversight as a concern about AI in customer communications.[41]
  • 51% of insurance customers surveyed in 2025 cited data privacy and security as a concern about AI in customer communications.[41]
  • 25% of insurance customers surveyed in 2025 cited impersonal interactions as a concern about AI in customer communications.[41]
  • 79% of US insurance consumers in 2026 said it matters that a brand’s AI identifies itself during customer interactions.[37]

Influencer Marketing in the insurance sector (sector benchmark)

  • 5.76%: Banking, finance and insurance companies’ average share of marketing budgets allocated to influencer strategies currently, based on 29 surveyed companies in 2023.[42]
  • 4.17%: Banking, finance and insurance companies’ average share of marketing budgets allocated to influencer strategies one year earlier, based on 29 surveyed companies in 2023.[42]
  • 8%: European insurance undertakings reported plans to establish a commercial relationship with social-media influencers soon in EIOPA’s 2023 survey of 209 undertakings.[3]
  • 11.62%: Banking, finance and insurance companies’ projected average share of marketing budgets allocated to influencer strategies three years later, based on 29 surveyed companies in 2023.[42]
  • 25%: European insurance undertakings reported already having a commercial relationship with social-media influencers in EIOPA’s 2023 survey of 209 undertakings.[3]

10 Statistics

Operations & Execution

Operations automation is the clearest near-term path, including straight-through claims-processing plans: 36% of North American P&C insurers planned it within two years in 2026.

Process optimization in the ai insurance industry

  • 65% of European insurance undertakings were actively using generative AI in 2025, with internal process efficiency identified as the main adoption driver across 25 countries.[3]
  • 53% of insurance organizations prioritized workflow optimization as an AI objective in the 2026 International Insurance Society survey.[43]
  • 36% of North American P&C insurers planned to introduce straight-through claims-processing automation within two years in 2026.[44]
  • 78% of commercial property-and-casualty insurers identified predictive analytics as a key underwriting and claims investment area in 2025.[15]
  • 91% of surveyed insurance CEOs expected generative AI to improve organizational productivity in Deloitte’s 2024 survey.[8]

Operational efficiency in the ai insurance industry

  • 20% of North American P&C insurers reported having a well-defined analytics strategy guiding daily activities in 2026.[44]
  • 25% of insurance organizations had reached production-level generative-AI deployment in the 2026 International Insurance Society report.[43]
  • 12% of North American P&C insurers regularly offered analytics training to employees in 2026.[44]
  • 42% of North American P&C insurers reported data-quality, data-accessibility or IT-support barriers to analytics adoption in 2026.[44]
  • 87% of insurance organizations were pursuing generative-AI initiatives in the 2026 International Insurance Society report.[43]

Quality management in the ai insurance industry

  • 20% of North American P&C insurers reported a well-defined analytics strategy for daily work in 2026.[44]
  • Hallucinations were the most frequently cited generative-AI risk among 347 European insurance undertakings surveyed in 2025.[3]
  • 65% of European insurance undertakings were actively using generative AI while most reported use cases remained at proof-of-concept stage in 2025.[3]
  • Only 12% of North American P&C insurers regularly provided analytics training to staff in 2026, indicating limited quality-control capability development.[44]
  • 64% of European insurers’ reported generative-AI use cases were internal, where human oversight and output quality controls were emphasized in 2025.[3]

Supply chain in the ai insurance industry

  • 98% of North American insurers and brokers cited generative AI, copilots or chatbots as their most widely used AI category in 2026.[9]
  • Nearly 20% of North American P&C insurers allocated more than 10% of IT budgets to AI in 2026.[9]
  • 64% of European insurers’ reported generative-AI use cases were in internal back-office operations in 2025, including productivity and support activities affecting insurance supply chains.[3]
  • 65% of European insurance undertakings were actively using generative AI in 2025, increasing insurers’ reliance on external technology and data providers.[3]
  • 7% of North American life insurers allocated more than 10% of IT budgets to AI in 2026.[9]

Outsourcing / Offshoring in the insurance sector (sector benchmark)

  • 79% of insurance organizations globally balanced nearshore and offshore strategic partnerships in 2025.[19]
  • 44% of insurance organizations globally planned to increase outsourcing in Asia over the following 12 months in 2025.[19]
  • 70% of Australian insurance businesses that offshore used offshore teams for broker support in 2026.[45]
  • 37% of Australian insurance businesses offshored at least one function in 2026, compared with 29% in 2023.[45]
  • 45% of Australian insurance businesses that offshore used offshore teams for document processing in 2026.[45]

11 Statistics

Finance & Pricing

Finance and pricing expectations focus on cost and technical results; one survey expected 1.5%–3% premium growth and 1.5–3 percentage-point technical-result improvements.

Pricing strategy in the ai insurance industry

  • 24% of European life insurers were using AI in areas including pricing and underwriting in EIOPA’s 2024 digitalization report.[3]
  • 11% of North American P&C insurers planned to implement advanced rating and pricing models soon in 2026.[44]
  • 33% of North American P&C insurers used advanced analytics for claims fraud detection in 2026, supporting AI-enabled risk selection and pricing.[44]
  • Nearly 80% of North American P&C insurers relied on advanced rating and pricing models in 2026.[44]
  • 29% of North American P&C insurers used advanced analytics for claims-severity assessment in 2026.[44]

Cost reduction in the ai insurance industry

  • 55% of insurers expected generative AI to produce cost savings of 11% to 20% over the following two years in EY’s 2025 survey.[15]
  • More than $500 million in annualized run-rate savings were delivered by AIG’s modernization initiatives in 2025.[46]
  • 64% of insurers expected finance-function cost savings of 11% to 15% from generative AI over the following one to two years in EY’s 2025 survey.[15]
  • 31% of insurers reported 11% to 15% realized claims cost savings from generative AI over the previous one to two years in EY’s 2025 survey.[15]
  • 36% of insurers reported 5% to 10% realized cost savings in claims from generative AI over the previous one to two years in EY’s 2025 survey.[15]

Profitability in the ai insurance industry

  • 47% of insurers reported revenue uplift within core insurance functions from generative AI in EY’s 2025 survey.[15]
  • 16% of North American P&C insurers used AI to augment human underwriting in 2026, with 60% planning to prioritize it by 2028.[44]
  • North American P&C insurers using more sophisticated analytics achieved premium growth three percentage points higher than slower adopters between 2022 and 2024.[44]
  • 28% of insurance organizations reported current revenue growth from AI strategies in Deloitte’s 2026 research.[47]
  • 83% of surveyed insurance investment professionals cited reduced operational costs as a primary AI benefit in 2026, supporting profitability improvement.[48]

Financial planning in the ai insurance industry

  • 44% of North American P&C insurers spent 5% to 10% of IT budgets on AI in 2026, according to Moody’s survey reporting.[9]
  • Nearly 20% of North American P&C insurers spent more than 10% of IT budgets on AI in 2026, according to Moody’s survey reporting.[9]
  • 18% of insurers expected finance-function generative-AI cost savings of 16% to 20% over the next one to two years in EY’s 2025 survey.[15]
  • 9% of insurers expected finance-function generative-AI cost savings of 21% to 25% over the next one to two years in EY’s 2025 survey.[15]
  • 77% of insurers had allocated up to 10% of their budgets to generative AI since 2024, according to EY’s 2025 survey.[15]

12 Statistics

Product & Service

Product development and service delivery expand cautiously beyond pilots, with more than 70% of UK insurtech firms moving beyond GenAI pilots in 2025.

Product development in the ai insurance industry

  • More than 70% of UK insurtech firms were running or moving beyond generative-AI pilots in 2025.[20]
  • 68% of insurers were investing in AI chatbots for cross-selling and value-added insurance products in 2025.[15]
  • Almost 20% of UK insurtech respondents ranked developing and deploying new generative-AI technologies as an opportunity in 2025.[20]
  • 16.1% of insurance respondents expected product development to benefit most from AI in 2026.[49]
  • 41% of European insurance undertakings planned to use generative AI for product development within three years in 2025.[3]

Product lifecycle in the ai insurance industry

  • 25% of insurers in Asia were currently using AI in 2024.[50]
  • 51% of global insurers were considering implementing AI in 2024.[50]
  • 29% of global insurers were currently using AI in 2024.[50]
  • 64% of European insurance generative-AI use cases were approximately at proof-of-concept stage in 2025.[3]
  • 65% of European insurers were already using generative AI in 2025.[3]

After-sales in the ai insurance industry

  • Over 80% of insurance customers either favored or were neutral toward insurers using generative AI in customer interactions in 2025.[36]
  • 37% of insurance customers favored insurers using generative AI in customer interactions in 2025.[36]
  • 48% of European insurance undertakings had no plans to use generative AI for customer service within three years in 2025.[3]
  • 20.4% of insurance respondents expected customer service to benefit most from AI in 2026.[49]
  • 68% of insurers were adopting automated data entry to improve insurance operations in 2025.[15]

Value proposition in the ai insurance industry

  • 39% of global insurers were using or considering AI for insurance-risk underwriting in 2024.[50]
  • Most insurers reported up to 10% in generative-AI-related cost savings over the previous one to two years in 2025.[15]
  • 55% of insurers expected generative AI to deliver 11% to 20% cost savings in the following one to two years in 2025.[15]
  • 73% of global insurers were using or considering AI to reduce operational costs in 2024.[50]
  • 78% of commercial property-and-casualty insurers identified predictive analytics as a key area for underwriting and claims in 2025.[15]

13 Statistics

Sustainability & Ethics

Energy-demand concerns remain operational, with 72% of U.S. insurers struggling to balance increased AI energy usage with sustainability commitments in 2025.

Sustainability in the ai insurance industry

  • 79% of U.S. insurers had plans to mitigate AI’s energy demands in 2025.[19]
  • 72% of U.S. insurers struggle to balance AI’s increased energy usage with their sustainability commitments in 2025.[19]
  • 75% of U.S. insurers considered meeting sustainability objectives a higher strategic imperative than implementing AI in 2025.[19]
  • 65% of European insurance undertakings were already using generative AI systems in 2025, primarily to improve internal process efficiency and reduce costs.[3]

ESG in the ai insurance industry

  • Most European insurers integrated the environmental impact of generative AI into broader corporate ESG frameworks or existing sustainability reporting structures in 2025.[3]
  • Insurers in the EIOPA survey identified renewable-energy and carbon-neutral cloud providers as common measures for addressing AI’s environmental impact in 2025.[3]
  • Several European insurers followed parent-company sustainability standards and policies when addressing generative AI’s environmental impact in 2025.[3]

Ethics in the ai insurance industry

  • 78% of insurers said they were not prepared to properly implement AI with safeguards in 2024.[51]
  • 25% of U.S. insurance leaders fully trusted AI within their organizations in 2025.[19]
  • 66% of insurance companies intended to implement AI for inline business decisions within the following year in 2024.[51]
  • 46% of U.S. insurance leaders had reservations about whether AI could be trusted in 2025.[19]
  • 57% of insurance respondents emphasized the importance of educating employees about AI bias in 2024.[51]

Carbon footprint in the ai insurance industry

  • European insurers reported selecting cloud providers committed to renewable energy and carbon neutrality as a measure to reduce AI’s environmental footprint in 2025.[3]
  • Many European insurers acknowledged lacking clear methodologies for measuring AI’s carbon footprint in 2025.[3]
  • Most European insurers reported difficulty obtaining reliable data on energy consumption or emissions associated with cloud services and foundational AI models in 2025.[3]

15 Statistics

Globalization & Expansion

Cross-border adoption is supported by technology vendor flows: 58.8% of global InsurTech deals involved U.S.-based companies in Q1 2025.

Globalization in the ai insurance industry

  • 9.3% of global InsurTech deals involved a UK-based company in 2024, making the UK the second-largest InsurTech market globally.[21]
  • 58.8% of global InsurTech deals involved U.S.-based companies in Q1 2025, the highest U.S. share since Q3 2017.[21]
  • U.S. InsurTechs increased their share of global deals by 5.16 percentage points between 2024 and 2025.[21]
  • European insurance investments declined at an average annual rate of about 18% between 2020 and the first half of 2025.[20]

Cultural adaptation in the ai insurance industry

  • 26% of surveyed insurance customers in nine countries said they trusted the reliability and accuracy of generative-AI advice in 2024.[56]
  • 4,700 insurance customers across nine countries were included in IBM’s 2024 generative-AI insurance study.[56]
  • 29% of surveyed insurance customers in nine countries said they were comfortable with generative-AI virtual agents providing service in 2024.[56]

Supplier management in the ai insurance industry

  • 64% of L&H InsurTech deals went to B2B technology vendors in 2025.[21]
  • 85.2% of L&H InsurTech deals went to B2B technology vendors in Q1 2025, the highest level recorded.[21]
  • 58% of P&C InsurTech deals went to B2B technology vendors in 2025, up 12 percentage points from 2021.[21]
  • 61.4% of P&C InsurTech deals went to B2B technology vendors in Q1 2025, the highest level since Q4 2014.[21]

Stakeholder management in the ai insurance industry

  • 41% of surveyed insurers and MGAs were actively using AI across core business areas in 2026.[57]
  • Nearly 20% of surveyed insurers and MGAs said they were at an advanced stage of AI implementation in 2026.[57]

Distribution channels in the ai insurance industry

  • 35% of P&C InsurTech deals went to lead-generation, broker or MGA companies in 2025, down from 42% in 2024.[21]
  • About 70% of private-equity insurance deal count was concentrated in the broker segment in 2025.[20]
  • Managing general agents accounted for about 5% of private-equity insurance deal flow through the first half of 2025.[20]

Key questions about the AI Insurance Industry

What is the current size of the AI insurance market in 2025?
The global AI-in-insurance market is estimated at $10.8 billion in 2025.
How fast is the AI-in-insurance market expected to grow through 2030?
It is projected to reach $45.1 billion by 2030, with a 33% CAGR from 2023 through 2030.
Which companies lead the ai insurance industry?
Lemonade leads Gitnux's 2026 ai insurance ranking with an Overall score of 9.1, with AI Maya and its APIs sell 98% of its policies. Coalition is the highest-ranked insurance coverage provider at 8.9, backed by affirmative AI coverage for AI security events and deepfake-triggered fraud.
Which technology shift shows up most in near-term insurer deployments?
GenAI deployment is led by internal back-office applications: 64% of reported GenAI use cases were internal in 2025 EU reporting.
How concentrated is the vendor market for AI insurance?
No reliable source reviewed provides a market-share or concentration ratio for AI-insurance vendors.
What deployment impediments are slowing progress for 2026-ready systems?
AM Best cited data readiness, security and privacy, and legacy-system integration as the largest deployment impediments in 2026.
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
Alexander Schmidt. (2026, February 13). AI Insurance Industry Statistics. Gitnux. https://gitnux.org/ai-insurance-industry-statistics
MLA
Alexander Schmidt. "AI Insurance Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-insurance-industry-statistics.
Chicago
Alexander Schmidt. 2026. "AI Insurance Industry Statistics." Gitnux. https://gitnux.org/ai-insurance-industry-statistics.

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