Gitnux/Report 2026

AI in Insurance Industry Statistics

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AI in Insurance Industry Statistics
Samuel NorbergWritten by Samuel Norberg·Fact-checked by Maya Johansson
Published
How this report is researched
01Editorial Scope

An editor sets the topic, the inclusion criteria, and the evaluation framework before research starts.

02Source Research

AI search agents locate sources and extract each figure together with the document it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai in insurance industry at a glance

The global AI in insurance market reached $10.36 billion in 2025 and is forecast to grow rapidly as insurers expand AI across claims, underwriting, fraud detection and customer service.

$10.36B[59]
Global market size, 2025
35.7%[59]
Forecast CAGR, 2026–2034
39.96%[59]
North America share, 2025
65%[13]
EU insurers using Gen AI, 2025
Market size
The global AI in insurance market was valued at $10.36 billion in 2025. Fortune Business Insights projects the market to reach $13.45 billion in 2026 and $154.39 billion by 2034.[59]
Forecast & CAGR
The market is forecast to expand at a 35.7% compound annual growth rate from 2026 through 2034. Cloud deployment is identified as the largest deployment segment in 2025 and is projected to grow at a 36.9% CAGR over the forecast period.[59]
Market share & regions
North America held approximately 39.96% of the global AI in insurance market in 2025, representing $4.14 billion. The region’s lead is attributed to early adoption of advanced analytics and digital insurance technologies.[59]
Segmentation
The market is segmented by application into claims processing, customer service, underwriting, fraud detection and other uses; by deployment into cloud and on-premise; by enterprise type into large enterprises and SMEs; and by technology into machine learning, natural language processing and computer vision. Claims processing held the largest application share in 2025, while cloud held the largest deployment share.[59]
Key players & concentration
Reliable public data quantifying market concentration among AI-in-insurance vendors was not identified. Available industry evidence shows broad adoption across insurers, technology providers and third-party developers rather than a published concentration ratio.[3][13]
Trends, drivers & challenges
Efficiency and cost reduction are the main adoption drivers in Europe, while customer interaction and decision support are also important. EIOPA found that 64% of reported Gen AI use cases were internal back-office applications and 36% were customer-facing; privacy, regulation, cybersecurity and talent shortages were the main barriers. AM Best reported in 2026 that 41% of surveyed insurers and MGAs were actively using AI, while data readiness, security and legacy-system integration remained major obstacles.[13][60]
Consumer behavior & competition
In a February 2025 survey of 6,000 insurance customers across China, France, Germany, Japan, the UK and the US, 68% had used Gen AI assistants when buying insurance. More than 80% either favored or were neutral toward insurers using Gen AI in customer interactions, while data security and the accuracy of AI-generated information were the leading customer priorities.[40]
M&A
AI is increasingly entering insurance M&A strategy, particularly through its potential to lower brokerage costs and improve incumbent efficiency. Recent transactions cited by PwC included the $1.41 billion acquisition of Cobbs Allen Capital Holdings by The Baldwin Insurance Group in December 2025, Enstar’s $1.59 billion acquisition of Accident Fund Holdings in February 2026, and the approximately $22 billion Corebridge–Equitable merger announced in March 2026.[61]
Regulation
The NAIC Model Bulletin on the Use of Artificial Intelligence by Insurance Companies was adopted in December 2023 and expects AI-supported decisions to comply with applicable insurance laws, supported by governance, documentation and examination records. In March 2026, the NAIC said its AI Systems Evaluation Tool was being piloted by 12 states, with adoption anticipated at the 2026 Fall National Meeting.[3]
Latest news
As of November 10, 2026, the NAIC’s current AI work includes continued development of an AI Systems Evaluation Tool and an AI Risk Evaluation Supplement for regulatory review. The regulator’s published 2026 agenda indicates that state regulators are moving from general principles toward more structured examination of insurers’ AI governance, risk mitigation and high-risk models.[3]

02 Ranking

Top 10 Companies in the Ai In Insurance Industry

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

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

Verdict

Guidewire leads Gitnux's 2026 ai in insurance ranking with an Overall score of 9.6, with revenue growth 23% and operating margin 10.2%. Tractable is the highest-ranked claims automation technology at 9.1, with computer vision AI to assess vehicle and property damage for insurers.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in insurance core & analytics platforms

    Guidewire

    US

    Ranked #1 · 9.6 · Insurance core & analytics platforms

    Why we picked it: It supports insurers with cloud core-platform analytics and embedded AI used across underwriting and claims workflows.

    See in ranking ↓Visit guidewire.com ↗

  2. Leader in computer-vision claims assessment

    Tractable

    GB

    Ranked #2 · 9.1 · Computer-vision claims assessment

    Why we picked it: It targets claims automation by converting damage inputs into insurer-ready assessments using computer vision.

    See in ranking ↓Visit tractable.ai ↗

  3. Leader in AI-native insurance operations

    Lemonade

    US

    Ranked #3 · 9.1 · AI-native insurance operations

    Why we picked it: It runs an AI-native approach across sales, underwriting, and claims under one operating model.

    See in ranking ↓Visit lemonade.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 in insurance industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Guidewire

Insurance core & analytics platforms · US

9.6
2

Tractable

Computer-vision claims assessment · GB

9.1
3

Lemonade

AI-native insurance operations · US

9.1
4

Verisk

Insurance analytics and decision support · US

9.0
5

ZestyAI

Insurance risk & underwriting models · US

9.0
6

Gradient AI

Insurance underwriting and claims AI · US

8.2
7

Earnix

AI pricing, rating and underwriting · US

8.0
8

Sapiens

AI-powered insurance core software · IL

7.9
9

Cytora

Commercial underwriting workflow AI · GB

7.8
10

Sprout.ai

AI claims automation and fraud detection · GB

7.5

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

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

report visual · Comparison

Evident AI Index score of leading insurers (North America and Europe)

AXA leads with 63 index points.

AXA63 index points
Allianz61.5 index points
USAA47.3 index points
Intact Financial46.3 index points
Manulife46.3 index points
Travelers44.5 index points
source-verifiedstorage.googleapis.com

04 Statistics

Technology & Innovation

Adoption expands from AI experimentation into production: 62% of global insurers used AI in 2026 (up from 48% in 2025). Automation is also accelerating, with 97% accelerating automation.

AI in the ai in insurance industry

  • 55% of U.S. insurance respondents reported early or full generative-AI adoption in 2025.[1]
  • 83% of global insurance companies using or considering AI said they use it to reduce operational costs in 2026.[2]
  • 42% of global insurance companies using or considering AI said they use it to evaluate investments in 2026.[2]
  • 38% of global insurance companies using or considering AI said they use it for insurance-risk underwriting in 2026.[2]
  • 62% of global insurance companies reported using artificial intelligence in 2026, up from 48% in 2025.[2]
  • 89% of surveyed insurers were at some stage of adopting AI across their value chain in 2025.[3]

Automation in the ai in insurance industry

  • 14% of insurers currently used straight-through processing in claims workflows in 2026.[4]
  • 36% of insurers planned to introduce straight-through processing in claims workflows by 2028.[4]
  • 97% of insurers were accelerating automation according to Aon’s workforce research.[5]
  • 45% of insurance professionals reported using AI copilots in 2026.[6]
  • 46% of insurance professionals reported using AI for unstructured-document processing in 2026.[6]
  • 53% of insurance professionals said automation was their organization’s leading AI adoption area in 2026.[6]

Digital Transformation in the insurance sector (sector benchmark)

  • 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]
  • 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.[8]
  • 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.[8]
  • 13% of UK insurance professionals surveyed said their operations were fully digitized, while 79% considered digital transformation important or extremely important for competitiveness.[9]

Technology Adoption in the insurance sector (sector benchmark)

  • 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]
  • 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.[11]
  • 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.[12]
  • 65% of European insurance undertakings surveyed by EIOPA were already actively using generative AI in 2025, with another 23% planning adoption.[13]

Cloud Computing in the insurance sector (sector benchmark)

  • Cloud computing and data-science techniques were described as well embedded across many Irish insurance companies in a 2025 CEO survey covering 37 respondents.[14]
  • 78% of Insurance Ireland CEOs surveyed planned future use of cloud technology in 2025, despite already reporting 94% current adoption.[14]
  • 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.[15]
  • 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.[14]

Big Data in the insurance sector (sector benchmark)

  • 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.[13]
  • 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.[13]
  • 50% of European non-life insurers and 24% of life insurers reported using artificial intelligence in their operations in EIOPA’s 2023 digitalization survey.[13]
  • 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.[14]

Blockchain in the ai in insurance industry

  • Close to 80% of European insurance blockchain use cases relied on outsourcing for development in 2023.[13]
  • 6% of surveyed North American property-and-casualty insurers reported a current or planned blockchain pilot in the fourth quarter of 2022.[3]

05 Statistics

Data & Analytics

Analytics reach underwriting and fraud workflows, while data quality and security limit scaling; 33% of North American P&C insurers used claims fraud-detection analytics in 2026.

Business intelligence in the ai in insurance industry

  • Almost 100% of North American P&C insurers in WTW’s 2026 survey used underwriting and pricing analytics.[16]
  • 80% of North American P&C insurers relied on advanced rating and pricing models in 2026.[16]
  • 52.4% of surveyed Greater China insurers identified underwriting service as an application area for large language models in 2025.[17]
  • 49% of North American P&C insurers said they were incorporating AI into pricing and underwriting analytics in 2024.[16]
  • 57.1% of surveyed Greater China insurers identified agent support as an application area for large language models in 2025.[17]
  • 95.2% of surveyed Greater China insurers identified internal support as an application area for large language models in 2025.[17]

Data analytics in the ai in insurance industry

  • 65% to 70% was the expected adoption range for claims fraud-detection and severity analytics among North American P&C insurers within two years of 2026.[16]
  • Over 60% of homeowners and life insurers reported current or expected future AI/ML use for underwriting in the NAIC surveys.[3]
  • 84% of surveyed U.S. health insurers reported using AI/ML in some capacity in 2025.[3]
  • 33% of North American P&C insurers used advanced analytics for claims fraud detection in 2026.[16]
  • 36% of North American P&C insurers planned to introduce straight-through processing in claims workflow automation in 2026.[16]
  • More than 50% of automobile, homeowners, and health insurers reported using, planning to use, or exploring AI/ML for fraud detection in the NAIC surveys.[3]

Data Quality in the insurance sector (sector benchmark)

  • 61% of insurance respondents globally identified internal data quality as their biggest challenge in fraud response in 2024.[18]
  • 63% of UK insurers and brokers reported distrust in data as a data challenge in 2025.[19]
  • 71% of UK insurers and brokers reported duplicate data as a data challenge in 2025.[19]
  • 45% of insurers globally cited receiving relevant asset data within required timeframes as an operational challenge in 2024.[20]
  • 53% of insurance respondents globally identified access to external data as a fraud-response challenge in 2024.[18]
  • 39% of insurers globally cited asset data management as an operational challenge in 2024.[20]

Data Governance in the insurance sector (sector benchmark)

  • 67% of UK insurers and brokers followed manual processes for customer financial-crime risk assessments in 2025.[19]
  • 55% of insurance executives said data security and privacy were a focus of their data strategy in 2026.[21]
  • 48% of insurance executives said risk management and compliance were a focus of their data strategy in 2026.[21]
  • 65% of insurance executives said data governance was a focus of their data strategy in 2026.[21]
  • 17% of UK insurers and brokers had a unified data platform supporting integrations from multiple data sources in 2025.[19]

KPIs in the ai in insurance industry

  • 34% of implemented AI/ML models reported by life insurers were used for underwriting in the NAIC survey.[3]
  • 18% of implemented AI/ML models reported by life insurers were used for pricing in the NAIC survey.[3]
  • 11% of implemented AI/ML models reported by life insurers were used for risk management in the NAIC survey.[3]
  • 59% of surveyed life insurers did not use AI to track policies that underwent full underwriting in 2023.[3]
  • 36% of implemented AI/ML models reported by life insurers were used for marketing in the NAIC survey.[3]
  • 72% of life insurers without plans to use or explore AI/ML cited no compelling business reason as a barrier in the NAIC survey.[3]

06 Statistics

Strategy & Growth

Insurers tie AI to measurable business outcomes: EY reports cost savings of up to 10% from AI-enabled productivity improvements in 2025.

Growth in the ai in insurance industry

  • Four US InsurTech companies completed initial public offerings in 2025.[22]
  • Most insurers surveyed by EY reported cost savings of up to 10% from AI-enabled productivity improvements in 2025.[23]
  • 47% of insurers surveyed by EY reported revenue uplift in core insurance functions from AI in 2025.[23]
  • The average AI-centered InsurTech funding deal was $13.94 million in Q1 2025.[24]
  • 2025 InsurTech financing volume was the third-highest annual level on record, according to FT Partners.[22]

Differentiation in the ai in insurance industry

  • 78% of commercial property and casualty insurers surveyed by EY identified predictive analytics as a key underwriting and claims area in 2025.[23]
  • 74% of insurers surveyed by EY identified predictive analytics as a key area for underwriting and claims in 2025.[23]
  • 56% of Central and Latin American insurers planned to begin, continue or significantly enhance analytics and AI systems in 2025.[25]
  • 64% of European insurers' reported generative-AI use cases were still at proof-of-concept or experimentation stage in 2025.[13]
  • 56% of North American insurers planned to begin, continue or significantly enhance analytics and AI systems in 2025.[25]
  • 59% of Asia-Pacific insurers planned to begin, continue or significantly enhance generative-AI or large-language-model systems in 2025.[25]

Mergers and acquisitions in the ai in insurance industry

  • The number of InsurTech deals fell 28% year over year to 362 in 2024.[26]
  • Global InsurTech funding declined 4% to $4.5 billion in 2024.[26]
  • InsurTech M&A exceeded $22 billion in total transaction volume in 2025.[22]
  • Stone Point Capital and CPP Investments valued their 2025 acquisition of a majority stake in OneDigital at $7.2 billion.[22]
  • InsurTech M&A reached a record 190 deals in 2025.[22]
  • Munich Re acquired Next Insurance for $2.6 billion in 2025.[22]

Strategic partnerships in the ai in insurance industry

  • 31.1% of insurer and reinsurer technology investments were directed to early-stage companies in Q1 2025.[24]
  • Reinsurers and insurers made 45 technology investments in Q1 2025.[24]
  • American Family Ventures made nine InsurTech investments in 2025, the highest total among InsurTech investors tracked by FT Partners.[22]
  • Strategic investor participation in InsurTech fell to 34% in 2025 from 35% in 2024 and 43% in 2023.[22]
  • Five insurer-technology partnerships were highlighted for Q1 2025: Generali-Descartes Underwriting, Hiscox-Broker Insights, MAPFRE RE-CyberCube, Nationwide-Bestow and Prudential-FIDx.[24]
  • Five reinsurer or insurer investors made at least three technology investments in Q1 2025.[24]

07 Statistics

People & Workforce

Talent supply remains a constraint as insurers invest in learning and development; 91% of insurers invested in new learning and development initiatives in 2026.

Hiring in the ai in insurance industry

  • One-third of surveyed insurance professionals said they entered insurance from another industry in 2023.[27]
  • 55% of U.S. insurance carriers expected to increase staff during 2025.[4]
  • 65% of insurance candidates withdrew from hiring processes because of an unattractive employee value proposition or culture, according to Aon research.[5]
  • 11% of insurance companies said hiring talent had become more difficult than the prior year in the third quarter of 2024.[28]
  • 15% of actuarial roles that U.S. insurance carriers planned to fill in 2025 were expected to go to newcomers to the actuarial profession.[4]

Employee retention in the ai in insurance industry

  • 91% of insurers were investing in new learning and development initiatives, a retention-related workforce action reported by Aon in 2026.[5]
  • 65% of insurance candidates discontinued hiring processes because of an unattractive employee value proposition and culture, affecting insurers’ ability to retain prospective talent.[5]
  • 8.6% was the average 12-month voluntary turnover rate among insurance companies surveyed in the third quarter of 2024.[28]
  • 2.4% was the average six-month involuntary turnover rate among insurance companies surveyed in the third quarter of 2024.[28]
  • 5% was the average six-month voluntary turnover rate among insurance companies surveyed in the third quarter of 2024.[28]

Remote Work in the insurance sector (sector benchmark)

  • Across North American insurance and actuarial professionals, 89% said in 2025 they had the option to work remotely.[29]
  • Across U.S. finance and insurance workers, 13.4% reported remote work in the Chicago Fed survey covering July 2021 through March 2024.[30]
  • Across U.S. insurance companies, 22% said in 2025 that most of their staff worked fully remotely.[28]
  • Across U.S. finance and insurance employees, 30% worked fully from home during the December 2024–March 2025 survey period.[31]

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.[32]
  • Across U.S. finance and insurance employees, 38% worked in hybrid arrangements during the December 2024–March 2025 survey period.[31]
  • Across U.S. finance and insurance workers, 28.7% were in hybrid work environments as of September 2024.[33]
  • Among finance, insurance and real-estate employers in the United States, 55.8% were classified as fully hybrid in the 2024 NACE employer survey.[34]

Upskilling in the ai in insurance industry

  • 12% of insurance C-suite respondents identified artificial intelligence as a sought-after employee skill in 2023.[35]
  • 91% of insurers were investing in new learning and development initiatives in 2026.[5]
  • 9% of North American insurance respondents identified artificial intelligence as a sought-after employee skill in 2023.[35]
  • 14% of insurance underwriting respondents identified artificial intelligence as a sought-after employee skill in 2023.[35]
  • 11% of insurance actuarial and pricing respondents identified machine learning as a sought-after employee skill in 2023.[35]

Employee Engagement in the insurance sector (sector benchmark)

  • Across insurance employees surveyed by APQC in the first half of 2024, employee experience priorities and engagement gaps were measured across insurance organizations.[36]
  • 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.[37]
  • 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.[33]
  • Among U.S. employees surveyed by Gallup, 16% were actively disengaged in 2023, providing an economy-wide benchmark for insurance employers.[37]

DEI in the ai in insurance industry

  • 14.7% of the U.S. insurance workforce identified as Black professionals in 2024.[38]
  • 9.9% of the U.S. insurance workforce identified as Black professionals a decade before 2024.[38]
  • $6.7 billion was the reported economic impact of diverse businesses in California’s insurance industry in the 2024 diversity report.[39]

08 Statistics

Customer & Sales

Customer-facing use grows cautiously, but satisfaction is reported: 91% of policyholders satisfied after using AI-supported communication channels in 2026.

Customer experience in the ai in insurance industry

  • 30% of surveyed insurance customers encountered AI tools that predicted or personalised recommendations in 2025 globally.[40]
  • 47% of surveyed insurance customers were neutral about insurers using generative AI in customer interactions in 2025 across six major insurance markets.[40]
  • 91% of policyholders who had used AI-supported communication channels with an insurer said they were satisfied with the experience in 2026.[12]
  • 40% of surveyed insurance policyholders believed AI would strengthen trust in their insurer in 2026.[12]
  • 45% of surveyed insurance customers encountered chatbots or virtual assistants for frequently asked questions or 24/7 support in 2025 globally.[40]

Customer retention in the ai in insurance industry

  • 41% of surveyed insurance consumers said they saw no value from their carrier beyond renewals and claims in 2026.[41]
  • 42% of surveyed insurance consumers said they would leave their carrier if their renewal price increased in 2026.[41]

Customer acquisition in the ai in insurance industry

  • 56% of insurers surveyed prioritized direct-to-customer personalised advertising or messaging as a generative-AI investment in 2025.[23]
  • 46% of insurers surveyed prioritized an advisor copilot for the salesforce as a generative-AI client-facing investment in 2025.[23]
  • 76% of life and annuity insurers surveyed prioritized cross-selling value-added products through chatbots in 2025.[23]
  • 56% of insurers surveyed prioritized automated forecasting of future customer needs using customer data in 2025.[23]
  • 68% of insurers surveyed prioritized cross-selling value-added products through chatbots as a generative-AI client-facing investment in 2025.[23]

Lead generation in the ai in insurance industry

  • 80% of life insurers used or planned to use AI or machine learning in marketing and sales, including customer acquisition and prospect identification, in the NAIC survey period.[3]
  • 53% of automobile and homeowners insurers used or planned to use AI or machine learning in marketing and sales, including customer acquisition and prospect identification, in the NAIC survey period.[3]
  • 63% of property and casualty, life and annuity, group benefits carriers and brokers were investing in generative-AI marketing activities including customer identification in 2025.[23]

09 Statistics

Marketing & Brand

Generative AI marketing is widely pursued, while disclosure expectations rise; 79% of U.S. consumers said it mattered that AI clearly identified itself in 2026.

Marketing in the ai in insurance industry

  • 80% of life insurers used or planned to use AI or machine learning for marketing and sales in the NAIC survey period.[3]
  • 36% of surveyed insurers identified marketing or client acquisition as an AI use case in 2025.[2]
  • 26% of independent insurance agents surveyed said they used AI for marketing communications in 2025.[42]
  • 56% of insurers surveyed prioritized direct-to-customer personalised advertising or messaging using generative AI in 2025.[23]
  • 36% of insurers surveyed in a 2023 life-insurance industry review reported using AI or machine learning in marketing.[43]

Digital marketing in the ai in insurance industry

  • 44% of insurers surveyed prioritized conversational virtual assistants for complex inquiries in 2025.[23]
  • 79% of U.S. insurance consumers said it mattered that a brand’s AI clearly identified itself during customer interactions in 2026.[44]
  • 63% of property and casualty, life and annuity, group benefits carriers and brokers were investing in generative-AI marketing activities in 2025.[23]
  • 80% of life insurers used or planned to use AI or machine learning in marketing and sales in the NAIC survey period.[3]
  • 46% of insurers surveyed prioritized simplified form auto-population based on predictive analytics in 2025.[23]

Branding in the ai in insurance industry

  • 59% of U.S. insurance consumers said it mattered a great deal that a brand’s AI clearly identified itself in customer interactions in 2026.[44]
  • 79% of U.S. insurance consumers said it mattered that a brand’s AI clearly identified itself in customer interactions in 2026.[44]
  • 85% of surveyed insurance executives expected AI to strengthen customer trust in 2026.[12]
  • 26% of surveyed insurance customers said benefits from integrating AI were shared equally between customers and insurers in 2025.[45]
  • 68% of surveyed insurance customers said insurers received most or all of the benefits from integrating AI in 2025.[45]

Influencer Marketing in the insurance sector (sector benchmark)

  • 25%: European insurance undertakings reported already having a commercial relationship with social-media influencers in EIOPA’s 2023 survey of 209 undertakings.[13]
  • 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.[46]
  • 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.[46]
  • 5.76%: Banking, finance and insurance companies’ average share of marketing budgets allocated to influencer strategies currently, based on 29 surveyed companies in 2023.[46]
  • 8%: European insurance undertakings reported plans to establish a commercial relationship with social-media influencers soon in EIOPA’s 2023 survey of 209 undertakings.[13]

10 Statistics

Operations & Execution

Claims automation moves from pilots into throughput improvements: intake automation reduced average claim-processing time from 10 days to 36 hours in 2026.

Process optimization in the ai in insurance industry

  • 20% of insurers use advanced analytics for subrogation, according to WTW’s 2026 Advanced Analytics and AI Survey.[4]
  • 25% of insurers use analytics for claims triage models that route complex claims, according to WTW’s 2026 Advanced Analytics and AI Survey.[4]
  • 8% of property-and-casualty insurers were classified as underwriting trailblazers using AI-driven insights and automation in Capgemini’s 2024 report.[47]
  • More than 50% of Travelers claims were eligible for straight-through processing in 2025, and customers adopted the process about two-thirds of the time.[4]
  • Intake automation reduced average claim-processing time from 10 days to 36 hours in a 2026 Sedgwick insurance-claims report.[4]

Operational efficiency in the ai in insurance industry

  • 12% of insurers reported fully mature AI capabilities, while 7% reported scalable AI success, in Sedgwick’s 2026 report.[4]
  • 21.6% was the average potential agentic-AI automation rate across insurance carriers analyzed by Morgan Stanley in 2026.[4]
  • 60% of insurers planned to prioritize AI augmentation of human underwriting between 2026 and 2028, compared with 16% currently doing so.[4]
  • More than half of insurers reported using large language models or generative AI, while another 29% planned adoption within two years, in WTW’s 2026 survey.[4]
  • 91% of surveyed insurance CEOs expected generative AI to enhance organizational productivity, with anticipated cost savings of 40% to 60%, according to Deloitte’s 2024 report.[11]

Quality management in the ai in insurance industry

  • Only 8% of P&C insurers were regarded as underwriting trailblazers consistently outperforming mainstream carriers through AI-driven insights and automation in 2024.[47]
  • 43% of underwriters trusted and regularly accepted automated recommendations from predictive-analytics tools in Capgemini’s 2024 survey.[47]
  • 42% of policyholders found the current underwriting process complex and lengthy in Capgemini’s 2024 property-and-casualty research.[47]
  • 53% of underwriters reported enhanced data-sharing security, 37% strengthened auditability and 28% advanced early fraud detection in Capgemini’s 2024 report.[47]
  • 73% of insurance firms faced limited pricing accuracy because of weak data resources, according to Capgemini’s 2024 property-and-casualty report.[47]

Outsourcing / Offshoring in the insurance sector (sector benchmark)

  • 37% of Australian insurance businesses offshored at least one function in 2026, compared with 29% in 2023.[48]
  • 70% of Australian insurance businesses that offshore used offshore teams for broker support in 2026.[48]
  • 79% of insurance organizations globally balanced nearshore and offshore strategic partnerships in 2025.[21]
  • 45% of Australian insurance businesses that offshore used offshore teams for document processing in 2026.[48]
  • 44% of insurance organizations globally planned to increase outsourcing in Asia over the following 12 months in 2025.[21]

11 Statistics

Finance & Pricing

Financial impact is increasingly attributed to AI integration: ACORD estimates annual savings potential of more than $480B for P&C insurers.

Pricing strategy in the ai in insurance industry

  • 47% of insurers reported revenue uplift within core insurance functions from generative AI, according to EY’s 2025 insurance survey findings.[23]
  • 51% of P&C insurers cited enhanced underwriting as a top priority for future generative-AI investment, according to EY’s insurance survey.[23]
  • 65% of insurers expected generative AI to produce revenue uplift of more than 10%, according to EY’s global insurance survey.[23]
  • 82% of large insurers with more than US$25 billion in direct premiums written cited productivity gains as a primary driver for implementing generative AI.[23]
  • 68% of insurers were investing in chatbots to drive cross-selling and value-added products in EY’s 2025 financial-services survey.[23]

Cost reduction in the ai in insurance industry

  • 38% of insurers reported 5% to 10% realized generative-AI cost savings in operations over the previous one to two years in EY’s 2025 survey.[23]
  • 44% of insurers expected 16% to 20% generative-AI cost savings in underwriting over the following one to two years in EY’s 2025 survey.[23]
  • 36% of insurers reported 5% to 10% realized generative-AI cost savings in claims over the previous one to two years in EY’s 2025 survey.[23]
  • More than US$300 billion was the estimated annual value potential for life insurers from robust AI integration in ACORD’s analysis.[49]
  • More than US$480 billion was the estimated annual savings opportunity for P&C insurers from robust AI integration in ACORD’s analysis.[49]

Profitability in the ai in insurance industry

  • 8% was the projected operating-earnings uplift for Progressive from AI in Morgan Stanley’s 2026 analysis.[4]
  • 27% was the projected operating-earnings uplift for Assurant from AI in Morgan Stanley’s 2026 analysis.[4]
  • 40% to 60% was the cost-savings range expected by CEOs from generative AI, mainly through productivity improvements in customer service, according to Deloitte’s 2024 insurer report.[11]
  • US$9 billion-plus was Morgan Stanley’s projected 2030 industry boost in operating earnings from AI use across analyzed insurance carriers and brokers.[4]
  • 11% was the projected industry operating-earnings uplift from AI cited in Morgan Stanley’s 2026 insurance analysis.[4]

Financial planning in the ai in insurance industry

  • 10% of insurers could fully comply with AI regulations in the 2024 SAS and Coleman Parks Research survey.[4]
  • 56% of insurers used a centralized generative-AI governance model, while 31% used a hybrid model, according to EY’s survey.[23]
  • 11% to 15% of the insurance workforce was projected to be impacted by generative AI over the following one to two years in EY’s 2025 findings.[23]
  • 52% of insurers anticipated generative-AI cost savings of 11% to 20%, according to EY’s global insurance survey.[23]
  • 90% of insurers had generative-AI budgets in a 2024 survey of more than 200 insurance technology, data, digital and analytics leaders.[4]

12 Statistics

Product & Service

AI assistance demand concentrates on policy services, with customer expectations tracked: 32.4% wanted more generative-AI assistance with policy services in 2025.

Product development in the ai in insurance industry

  • 30% of surveyed U.S. health insurers reported using, planning to use, or exploring AI/ML for demand modeling in 2025.[3]
  • 42% of U.S. health insurers pursuing AI/ML for online sales, quoting, or shopping had implemented it in production in 2025.[3]
  • 30% of surveyed U.S. health insurers reported using, planning to use, or exploring AI/ML to develop products, programs, or services for existing customers in 2025.[3]
  • 39% of surveyed U.S. health insurers reported using, planning to use, or exploring AI/ML for online sales, quoting, or shopping experiences in 2025.[3]
  • 50% of U.S. health insurers pursuing AI/ML for product development had implemented it in production in 2025.[3]

Product lifecycle in the ai in insurance industry

  • Approximately 50% of surveyed life insurers moved from an AI concept to a minimum viable product within six months in 2025.[50]
  • 76% of surveyed U.S. insurance executives said their organizations had implemented generative AI in at least one business function in 2024.[11]
  • 70% of surveyed U.S. property and casualty insurers had implemented generative AI in at least one business function in 2024.[11]
  • 90% of surveyed life insurers expected to meaningfully increase AI investment over the following two years in 2025.[50]
  • 82% of surveyed U.S. life and annuity insurers had implemented generative AI in at least one business function in 2024.[11]

After-sales in the ai in insurance industry

  • 32.4% of surveyed insurance customers wanted more generative-AI assistance with policy services in 2025.[40]
  • 8% of U.S. auto and home insurance customers used third-party websites or apps for account-servicing tasks in 2026.[51]
  • 21.8% of surveyed insurance customers wanted less generative-AI assistance with policy services in 2025.[40]
  • 29.5% of surveyed insurance customers were satisfied with the current level of generative-AI assistance for policy services in 2025.[40]
  • 29% of U.S. auto and home insurance customers used AI tools to research products, service accounts, understand coverage, or shop for insurance in 2026.[51]

Value proposition in the ai in insurance industry

  • 29% of global insurance survey respondents using or considering AI cited investment evaluation as an intended use in 2025.[52]
  • 3 percentage points was the premium-growth advantage for North American P&C insurers with more sophisticated analytics between 2022 and 2024.[16]
  • 44% of global insurance survey respondents using or considering AI cited insurance-risk underwriting as an intended use in 2025.[52]
  • 6 percentage points was the combined-ratio advantage for North American P&C insurers with more sophisticated analytics between 2022 and 2024.[16]
  • 40% to 60% was the estimated generative-AI cost-savings range cited for insurers, mainly from customer-service productivity improvements, in 2025.[11]

13 Statistics

Sustainability & Ethics

Governance documentation is becoming routine, particularly for unintended impacts and compliance; 73% of U.S. health insurers documented accountability for unintended AI/ML impacts in 2025.

Ethics in the ai in insurance industry

  • 73% of U.S. health insurers documented accountability for unintended AI/ML impacts in claims adjudication in 2025.[3]
  • 80% of U.S. health insurers documented resources and knowledge for legal and unfair-discrimination compliance in product pricing and plan design in 2025.[3]
  • 92% of U.S. health insurers surveyed had AI/ML governance principles modeled on the NAIC AI Principles in 2025.[3]
  • 57% of U.S. health insurers documented consumer transparency, notice, appeal and recourse practices for AI/ML used in sales and marketing in 2025.[3]
  • 97% of insurers already using AI in the 2024 EAIC survey had encountered challenges related to bias.[53]

15 Statistics

Globalization & Expansion

Use cases spread across markets, supported by dedicated policies and third-party sourcing; 49% of European undertakings developed a dedicated AI policy in 2025.

Globalization in the ai in insurance industry

  • AI-centered InsurTechs raised $710.86 million across 60 deals in Q1 2025.[24]
  • 55% of surveyed German insurance customers had used generative-AI tools while purchasing insurance in 2025.[40]
  • 80% of surveyed Chinese insurance customers had used generative-AI tools while purchasing insurance in 2025.[40]
  • 65% of insurance undertakings across 25 EU and EEA countries were actively using generative AI systems in 2025.[13]
  • 60% of insurer-backed technology investment deals in Q1 2025 went to companies based in the United States.[24]

Cultural adaptation in the ai in insurance industry

  • 40% of European insurance undertakings reported current generative-AI use in customer service in 2025.[13]
  • China and Japan showed higher independent generative-AI use in insurance purchasing than continental Europe and English-speaking markets in 2025.[40]
  • 22% of European insurance undertakings reported current generative-AI use in sales and distribution in 2025.[13]
  • 80% of Chinese respondents, 71% of Japanese respondents and 69% of UK respondents had used generative AI when purchasing insurance in 2025.[40]
  • 32% of European insurance undertakings reported current generative-AI use in claims management in 2025.[13]

Supplier management in the ai in insurance industry

  • 49% of European insurance undertakings had developed a dedicated AI policy in 2025, twice the proportion reported in 2023.[13]
  • 68% of insurers surveyed by EY had earmarked portions of their IT and technology budgets for generative AI in 2025.[23]
  • Third-party models or off-the-shelf solutions were the dominant generative-AI sourcing strategy among European insurers in 2025.[13]
  • 36% of reported European insurance generative-AI use cases were customer-facing applications in 2025.[13]
  • 64% of reported European insurance generative-AI use cases were internal back-office applications in 2025.[13]

Stakeholder management in the ai in insurance industry

  • 70% of US property and casualty insurers surveyed by Deloitte had implemented generative AI in at least one business function in 2024.[11]
  • 76% of US insurance executives surveyed by Deloitte had implemented generative AI in at least one business function in 2024.[11]
  • 45% of US insurance executives surveyed by Deloitte said their leaders believed generative-AI benefits outweighed risks in 2024.[11]
  • 55% of US insurance executives surveyed by Conning were in early or full generative-AI adoption in 2025.[58]
  • 82% of US life and annuity insurers surveyed by Deloitte had implemented generative AI in at least one business function in 2024.[11]

Distribution channels in the ai in insurance industry

  • 65% of Central and Latin American insurers planned to begin, continue or significantly enhance distribution-partner portals in 2025.[25]
  • Traditional intermediaries continued to dominate insurance distribution in most surveyed markets in 2025, especially for complex products.[40]
  • 58% of Asia-Pacific insurers planned to begin, continue or significantly enhance distribution-partner portals in 2025.[25]
  • 54% of North American insurers planned to begin, continue or significantly enhance distribution-partner portals in 2025.[25]
  • 68% of surveyed insurance customers had used generative-AI assistants during insurance purchasing in 2025.[40]

Key questions about the ai in insurance industry

What is the 2025 market size for AI in insurance?
The global AI in insurance market reached $10.36 billion in 2025.
How fast is the market expected to grow in 2026–2034?
The market is forecast to expand at a 35.7% CAGR from 2026 through 2034.
Which companies lead the ai in insurance industry?
Guidewire leads Gitnux's 2026 ai in insurance ranking with an Overall score of 9.6, with revenue growth 23% and operating margin 10.2%. Tractable is the highest-ranked claims automation technology at 9.1, with computer vision AI to assess vehicle and property damage for insurers.
What technology shifts matter most for 2026 adoption and deployment?
Cloud is the largest deployment segment in 2025, projected to grow at a 36.9% CAGR over the forecast period.
How concentrated is the vendor market for AI-in-insurance?
Reliable public data quantifying market concentration among AI-in-insurance vendors was not identified, with evidence pointing to broad adoption rather than a published concentration ratio.
What adoption constraints and governance expectations shape rollout in 2026?
EIOPA reported 64% of Gen AI use cases as internal back-office and cited privacy, regulation, cybersecurity, and talent shortages as barriers; the NAIC expects AI-supported decisions to comply with applicable insurance laws supported by governance, documentation, and examination records.
Reference

Cite This Report

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APA
Samuel Norberg. (2026, November 10). AI In Insurance Industry Statistics. Gitnux. https://gitnux.org/ai-in-insurance-industry-statistics
MLA
Samuel Norberg. "AI In Insurance Industry Statistics." Gitnux, 10 Nov 2026, https://gitnux.org/ai-in-insurance-industry-statistics.
Chicago
Samuel Norberg. 2026. "AI In Insurance Industry Statistics." Gitnux. https://gitnux.org/ai-in-insurance-industry-statistics.

Sources & references

72 sources cited across this report

  1. theinsurer.com
  2. am.gs.com
  3. content.naic.org
  4. insurancejournal.com
  5. aon.com
  6. bevaya.ai
  7. epam.com
  8. actuarialpost.co.uk
  9. insurancetimes.co.uk
  10. bankofengland.co.uk
  11. deloitte.com
  12. insurancebusinessmag.com
  13. eiopa.europa.eu
  14. media.milliman.com
  15. gartner.com
  16. wtwco.com
  17. soa.org
  18. friss.com
  19. dnb.co.uk
  20. infinance.nl
  21. kpmg.com
  22. ftpartners.com
  23. ey.com
  24. ajg.com
  25. go.celent.com
  26. cbinsights.com
  27. vertafore.com
  28. jacobsononline.com
  29. hub.selbyjennings.com
  30. chicagofed.org
  31. wfhresearch.com
  32. vermelorpo.com
  33. carriermanagement.com
  34. naceweb.org
  35. earnix.com
  36. apqc.org
  37. gallup.com
  38. thebiic.org
  39. insurance.ca.gov
  40. genevaassociation.org
  41. transunion.com
  42. propertycasualty360.com
  43. sidley.com
  44. invoca.com
  45. jdpower.com
  46. cmosurvey.org
  47. capgemini.com
  48. macquarie.com.au
  49. bestsreview.ambest.com
  50. limra.com
  51. connect.certifiedcg.com
  52. insuranceaum.com
  53. ethicalinsuranceai.org
  54. pwc.com
  55. insurers.gallagherbassett.com.au
  56. oaic.gov.au
  57. internationalinsurance.org
  58. conning.com
  59. fortunebusinessinsights.com
  60. news.ambest.com
  61. amp.insurancejournal.com
  62. guidewire.com
  63. tractable.ai
  64. lemonade.com
  65. investor.verisk.com
  66. zesty.ai
  67. gradientai.com
  68. sapiens.com
  69. cytora.com
  70. sprout.ai
  71. insurity.com
  72. verisk.com