The phrase “the US fintech market” hides four very different businesses inside it, and treating them as one industry is the fastest way for an investor or founder to misread a deal. The country’s fintech revenue pool sits roughly in the $200 billion range, depending on which boundary the analyst draws around it. The four segments inside that pool, namely payments, lending, wealth, and insurance, operate on different unit economics, regulatory perimeters, and customer-acquisition models.
KPMG’s Pulse of Fintech tracks the funding flows across those segments and the picture is consistent: capital concentrates in payments and lending, but growth rates are highest in the smaller insurtech and wealthtech tails. That asymmetry is the starting point for any honest segmentation conversation in US finance, and it shapes everything from valuation multiples to talent flow. A founder picking a segment is not just picking a customer base. They are picking the regulatory regime, the capital structure, and the exit comp set they will live inside for the next decade or longer.
The four-segment split
Payments is the largest segment by revenue, accounting for roughly 38 percent of US fintech revenue in 2025 according to CB Insights State of Fintech data. Lending sits in second place at around 27 percent, driven by consumer instalment products, small-business credit, and the rebuilt underwriting stack that powers credit decision engines for both consumer and SMB lenders. WealthTech makes up around 18 percent, anchored by robo-advisory platforms and direct-to-consumer brokerage. Insurtech is the smallest at around 12 percent of segment revenue, with the remainder spread across banking-as-a-service infrastructure, treasury automation, and adjacent categories.
Those proportions move slowly because they are anchored to underlying financial activity. Payments is large because Americans transact constantly. Lending is large because credit is the country’s largest household-finance category. Wealth is mid-sized because savings rates are moderate, and insurance is small because the US insurance industry has been comparatively slow to digitise. Reading the segment shares without reading those underlying drivers is how investors end up paying software multiples for what is structurally a balance-sheet business, and how founders end up choosing a segment whose addressable customer base is fundamentally smaller than the one they pitched to their seed round.
Why payments leads, and lending follows
Payments leads on three structural advantages. First, it has the highest transaction frequency of any fintech category, which compounds into more data, better risk models, and stickier customer relationships over time. Second, it sits closest to merchant economics, where every basis point of pricing power translates directly into bottom-line revenue. Third, it benefits from network effects on both sides. Consumer adoption of one wallet pulls merchant acceptance, which in turn pulls more consumers in. Those three advantages together explain why payments has consistently absorbed the largest share of US fintech investment dollars since 2018.
Lending grows differently. Where payments scales by transaction volume, lending scales by underwriting accuracy and funding cost. The fastest-growing US lending fintechs in 2025 are not the ones with the most marketing spend. They are the ones with the lowest cost of capital and the most defensible credit models. That puts the segment closer to a balance-sheet business than a software business, which changes how its valuations should be read against the rest of fintech. The headline 27 percent revenue share understates the segment’s importance, because lending revenue includes interest income that flows through structurally different income statements than the transaction-fee revenue that dominates payments.
Insurtech and wealthtech: smaller, faster-growing tails
Insurtech is the smallest US fintech segment by revenue, but its growth rate is the highest. The reason is base-effect. The segment started later than payments or lending, and the underlying insurance market is enormous and structurally underdigitised. Personal lines, small-business commercial cover, and embedded insurance inside non-insurance products are all expanding faster than the category baseline, with embedded distribution growing fastest of all.
Insurtech founders chase three lever points. The first is pricing precision. Machine-learning risk scoring lets newer carriers undercut traditional incumbents on selected segments without absorbing a worse loss ratio. The second is distribution. Embedding into auto-purchase, real-estate, or SMB-software flows reaches consumers at the exact moment they need cover, rather than at policy-renewal cycles. The third is claims automation, which has the potential to compress operating-expense ratios from the mid-20s into the mid-teens over the back end of the decade.
WealthTech sits between the two. Its 18 percent revenue share is anchored by a small number of large platforms that own the direct-to-consumer brokerage flow, plus a long tail of robo-advisors, retirement-savings tools, and crypto-adjacent products. Growth is steady rather than explosive, because the segment competes for a finite share of household savings, but the tail is interesting because it is where most product innovation in retail wealth is now happening, and where the next generation of US asset-gathering platforms will most likely emerge.
How the segments interact and where they cluster
The four segments do not run on parallel tracks. They interact in ways that decide which fintechs survive and which get acquired. Payments players push downstream into lending by using transaction data to underwrite. Lending players push upstream into payments by capturing the customer at the point of purchase. WealthTech firms experiment with insurance-style risk products. Insurtech firms experiment with cash-management features that look a lot like banking. Cross-segment expansion is the default end-state for any fintech that survives its first scale phase, and the resulting overlap is what makes M&A activity inside the sector so frequent and so messy to value.
Geographic concentration sits on top of that interaction. New York and the broader Northeast corridor concentrate payments and capital-markets fintech. The San Francisco Bay Area concentrates lending, wealth, and infrastructure plays. Charlotte and Atlanta hold a meaningful share of payments and small-business banking, with Charlotte in particular benefiting from its proximity to Bank of America and Truist headquarters. Texas (specifically Austin and Dallas) has emerged as the fastest-growing fintech hub for both lending and infrastructure since 2022, helped by lower operating cost and a friendlier regulatory tone for non-bank lenders. Those clusters matter because they shape hiring, partnership networks, and the local availability of regulatory expertise. That combination is hard to relocate once it sets in a region.
What founders and investors should take from the data
For founders, the practical lesson is that segment choice is a strategy decision, not a category label. Building inside payments means competing on transaction unit economics and accepting compressed margins in exchange for scale. Building inside lending means accepting balance-sheet risk and underwriting discipline, with valuation multiples closer to specialty finance than to software. Insurtech and wealthtech offer faster category growth, but with smaller revenue pools and longer time-to-scale, and that trade-off is rarely visible from the outside until a round is already in motion.
For investors, the lesson is that comparing fintechs across segments using the same multiples is a category error. A payments fintech and a lending fintech may both report rapid growth, but should be valued differently because their unit economics, capital intensity, and regulatory exposure are not the same. The discipline that pays for itself, repeatedly, is matching the comparable set to the actual segment. Reading open innovation in US finance partnership trends inside that segment is also useful, because they act as forward indicators of where the next consolidation cycle is most likely to start The four-segment cut is a starting point, not a stable taxonomy, and the most useful version of it for any reader is the one that matches the part of the US fintech market they actually operate in or compete against day to day..
