InsurTech in the US: inside the $19 billion category rewriting how insurance is sold, underwritten, and paid

An auto insurer in Ohio used to price a policy by pulling a consumer’s credit score, the vehicle’s VIN, and a census-tract driving record — and then applying an actuarial table that had changed twice in the previous decade. In 2026, the same insurer scores the policy in real time against telematics data from the car, weather data from the route the driver takes to work, and a machine-learning model that was retrained last month. The technology behind that shift is InsurTech, and it is why Fortune Business Insights values the global InsurTech market at $19.06 billion in 2025, projected to reach $132.71 billion by 2034 at a 24.1% CAGR, with North America commanding a 47.9% regional share. A parallel Precedence Research estimate pegs the 2025 market at $36.05 billion growing to $739.69 billion by 2035 at a 35.27% CAGR, with North America holding 38% of the global market and the US alone valued at $9.50 billion in 2025.

How InsurTech became a software category

Twenty years ago, the US insurance industry ran on mainframes and three-ring binders. Underwriting was a craft practiced by experienced agents who knew their local markets. Claims handling was a phone-and-paper process with turnaround measured in weeks. Distribution ran through captive agents, independent brokers, and direct mail. Technology inside an insurer was almost entirely back-office, and it was rarely a competitive advantage.

What broke that model was the early-2010s wave of direct-to-consumer insurance startups. Lemonade launched renters insurance in 2016 with an AI-driven claims process that paid valid claims in seconds. Root priced auto insurance on telematics data rather than credit scores. Hippo and Kin rebuilt homeowners insurance around real-time property risk scoring. Metromile shipped pay-per-mile auto coverage. Each of these companies proved that parts of the insurance value chain — pricing, underwriting, distribution, claims — could be materially rebuilt in software.

The incumbent response, running 2018 to 2024, was to buy or build InsurTech capability in-house. State Farm, Allstate, Progressive, Liberty Mutual, and Travelers each stood up innovation labs, acquired startups, or invested in adjacent technologies. By 2026, the InsurTech category has matured from a disruption narrative into a software-category investment thesis — the same pattern that played out in FinTech payments a decade earlier.

The InsurTech market in 2025

The two research houses differ on absolute scoping but agree on the structure. North America is the dominant regional market. Insurance companies are the single largest end-user category. AI and machine learning are the fastest-growing technology segments. The forecast CAGR — 24.1% to 35.27% — puts InsurTech among the faster-growing enterprise technology categories serving any industry, not just insurance.

Five InsurTech workloads inside US insurers

InsurTech at a US insurance carrier in 2026 has consolidated around five recurring workloads.

The first is AI-driven underwriting. Risk models have moved from static actuarial tables to continuously retrained machine-learning systems that ingest telematics, IoT-sensor data, weather data, and third-party risk scores. The overlap with the machine learning systems US financial firms have deployed for credit-scoring and model-risk management is explicit — insurance pricing models follow the same MLOps discipline as credit decision models.

The second is claims automation. First-notice-of-loss intake is increasingly handled by chatbots or mobile apps that capture photos, extract structured data, and trigger automated fraud screens. Simple claims — cosmetic auto damage, minor homeowners losses, routine health claims — can be settled end-to-end without a human adjuster. The overlap with the fraud detection systems US financial firms have deployed is structural — insurance claims fraud detection shares the same underlying ML techniques as payment fraud detection.

The third is distribution and embedded insurance. Point-of-sale embedded coverage — purchased alongside an airline ticket, a rental car, or a new phone — has become a significant distribution channel. API-first InsurTech carriers like Cover Genius and Boost Insurance power embedded insurance for retailers, travel platforms, and fintechs. The pattern overlaps with the broader embedded-finance trend in the rest of fintech.

The fourth is customer experience and retention analytics. Insurers have invested heavily in churn prediction, cross-sell targeting, and life-event prompts that keep policyholders attached to the brand. Modern customer platforms run continuous analytics over policyholder behaviour, claims history, and external life signals to surface next-best-action recommendations.

The fifth is regulatory and claims reporting. Insurance regulators at the state level — the NAIC framework implemented through state departments of insurance — require detailed statistical reporting, rate filings, and market conduct data. The overlap with the regulatory reporting software US banks have adopted to turn compliance into code is tight — many of the same vendors serve both banks and insurers.

The US InsurTech vendor map

The US InsurTech vendor map splits into three layers.

At the direct-to-consumer carrier layer, Lemonade, Root, Hippo, Kin, Next Insurance, Coalition, Pie Insurance, and Oscar Health continue to compete with incumbent carriers across auto, homeowners, small-business, cyber, and health lines. The economic performance of these carriers has been uneven — some have achieved profitability, others are still burning venture capital — but their combined effect on the market has been to raise the technology bar for every incumbent.

At the infrastructure layer, Duck Creek, Guidewire, Majesco, Insurity, and Socotra provide core policy-administration, billing, and claims systems that power both incumbent carriers and newer entrants. The migration of Guidewire’s installed base from on-premises to its InsuranceSuite Cloud, running 2019 to 2025, has been one of the category’s defining trends. Cloud-native challengers like Socotra and EIS Group compete with Guidewire for greenfield carrier deployments.

At the InsurTech enablement layer, vendors like Cover Genius (embedded), Shift Technology (claims AI), Planck (commercial underwriting AI), Betterview (aerial imagery for property), CAPE Analytics (property risk scoring), and Arturo (computer vision for claims) provide specialized services that both incumbents and InsurTechs plug into their stacks. This layer is where most of the venture funding still flows.

What the regulators are watching in 2026

US insurance regulation is state-based rather than federal, which creates a different supervisory pattern from banking. The NAIC coordinates across state regulators, but each state department of insurance retains primary authority.

The first supervisory concern is rate filing and algorithmic transparency. Every insurance rate change must be filed with state regulators, and rates that depend on machine-learning models face growing scrutiny. Colorado’s 2021 law regulating the use of external consumer data in insurance algorithms, and the NAIC’s 2023 model bulletin on AI use in insurance, have accelerated this trend. Insurers deploying ML pricing models must document training data, validation results, and fairness testing with increasing rigour.

The second concern is claims practices and unfair settlement. State insurance departments investigate claims-handling complaints, and automated claims-denial systems are a focus area. Insurers using AI-driven claims decisions must maintain clear human-review channels and document the reasons for denial with the same rigour as traditional claims handling.

The third concern is cybersecurity. The NYDFS Part 500 regulations extended to insurance carriers, and the NAIC Insurance Data Security Model Law has been adopted in most states. Insurers must demonstrate governance, incident response, and vendor-risk management around their growing digital footprints.

What it means for founders and operators

For founders, the InsurTech category remains one of the richer opportunity sets in financial services. The $19B to $36B global market is expanding faster than most adjacent categories, and the structural opportunities — embedded insurance, AI-driven underwriting for specialty lines, climate-adjusted property risk, cyber insurance for SMBs, commercial insurance digitization — remain largely unsolved. Defensible startups pair deep insurance-domain expertise with modern data engineering and the regulator-grade documentation that state insurance departments expect.

For operators at incumbent carriers, the cost question has shifted. InsurTech investment has grown double-digits per year through 2024-2025, and CFOs are starting to push back. The carriers landing cleanly in 2026 are the ones that measured program ROI by loss-ratio improvement, operating-expense reduction, and customer-lifetime-value lift — not by the number of pilots or partnerships launched. The carriers that ran disconnected innovation labs without business-line accountability are the ones justifying the line item to the board.

The bottom line

InsurTech is the software category that rebuilt insurance underwriting, distribution, and claims over the past decade. At $19 billion globally in 2025 and growing at 24% to 35% annually, the category is both structurally expanding and newly competitive against incumbent carriers. North America dominates the regional mix, insurance companies command nearly half of end-user spending, and AI-driven workloads are moving from pilot to production. The firms getting the most value from InsurTech are the ones that treat it as strategic infrastructure — with product management, loss-ratio accountability, and regulatory governance — not as an innovation-lab curiosity. In insurance, as in the rest of financial-services technology, the operational-excellence plays are the ones that compound.