AI insurtech funding: bigger checks, higher bar for profits

AI insurtech startups increased in number and funding, going from seven startups funded for an estimated total $69.95 million in 2023 to 25 startups funded for an estimated total of $609.4 million in 2025, based on data compiled from BusinessWire press releases. This year's funding total has already surpassed 2025. But there are strings attached.

As the AI boom's momentum continues its rapid pace, investors are giving startups a shorter runway to prove their value, experts say. In particular, investors are looking at how fast the startups they target can be profitable.

"Investors, after having seen how fast some of the AI companies could grow, set higher bars for traditional SaaS and insurtech startups," said Jess Liu, partner at Nationwide Ventures. "This means insurtech startups need to be more efficient, get to profitability and grow faster, and embrace AI."

This latest rise of insurtech startups is not like previous booms, said Nathan Golia, senior analyst, North America P&C insurance at Celent. "The standards are higher. They're not going to let something percolate, the way they might have in the 2010s, when they were more willing to sit on things for a while and see what happens," he said. "The business conditions around insurance are not amenable to that at this point, the way they used to be."

This year, with 14 AI insurtech startups already launched for an estimated total of $613.1 million in funding, already surpassed the funding level in 2025, based on the data. Funding rounds for Acrisure, a much larger insurtech and fintech provider, were subtracted from the compiled data to present a more accurate estimate of AI insurtech startup activity.

Rising funding, however, is triggering questions from insurers and their clients about return on investment in AI, Golia said. 

Investors are now scrutinizing prospective AI insurtech startups for their economics, profitability and balance of revenue and earnings, according to Jennifer Linton, CEO and founder of Fenris, an insurance data and prediction tech company. Previously, she said, "a lot of them were lighting capital on fire for a while there."

These startups have to show their value to insurers that are often still trying to modernize their operation processes, Golia said. "You've got to show the money sooner," he said.

While a lot more capital is going to AI startups, Nationwide's Liu said, it's unclear where the AI insurtech startup market is headed, according to Golia. 

"It's early stages, figuring out where this market's going to end up," he said. "Is there going to be a big market for off-the-shelf AI powered insurance software products or is AI going to be more focused internally with insurers' IT side and more bespoke development?"