Why Fee-Based Insurance Advisory is India’s Next Insurtech Opportunity — A Market Thesis

India has 738 insurtech startups and $4.44B of cumulative funding, almost all of it deployed against distribution and underwriting. Nobody has built the fee-paid advisory layer that SEBI’s RIA framework created for investments. This is the thesis for why that category exists and why it is currently empty.

India’s insurtech sector is not short of capital, companies or ambition. By Tracxn’s count there are 738 insurtech startups in the country, 595 of them active, with 199 having raised institutional funding, 71 at Series A or beyond, and 5 having reached unicorn status. Cumulative funding into the sector stands at roughly $4.44 billion, with Acko alone accounting for about $598 million of it.

What that capital has bought is a rebuilt front end. Comparison is instant, purchase is frictionless, underwriting is faster, and claims processing for standard cases has improved materially. These are real achievements and they are not in dispute.

The thesis of this piece is that the sector has deployed almost all of that capital against one half of the problem, and that the untouched half — advice that the customer pays for — is a distinct category with a working precedent in Indian financial services. We are building in it, so treat this as an argued position rather than a neutral survey. The figures are sourced and checkable.

The result that should trouble the sector

Fifteen years of digital distribution and $4.44 billion of funding have not moved the number the sector exists to move. IRDAI’s 2024-25 annual report puts insurance penetration in India static at 3.7 per cent of GDP against a world average of about 7.3 per cent. Life penetration actually slipped, from 2.8 to 2.7 per cent; non-life stayed flat at 1 per cent. The protection gap across most segments remains roughly 70 to 80 per cent.

Meanwhile, the problem digital distribution was explicitly meant to solve has not gone away. IRDAI’s 2024-25 report names mis-selling a significant concern. Grievances categorised under unfair business practices rose to 26,667 in FY25 from 23,335 in FY24 — climbing to 22.14 per cent of all complaints against life insurers, from 19.33 per cent a year earlier.

Penetration flat at 3.7 per cent. Protection gap at 70 to 80 per cent. Mis-selling complaints rising. That is the scoreboard after $4.44 billion deployed against distribution and underwriting.

The straightforward reading is that distribution was not the binding constraint. Indians are not underinsured because policies were hard to buy. They are underinsured because nobody they trust has told them what to buy, and because the experience of claiming has not built the trust that would justify buying more.

The structural gap: every intermediary is paid by the manufacturer

Run down the categories of Indian insurance distribution — individual agents, corporate agents, brokers, web aggregators, bancassurance, and the digital-native platforms built on top of those licences — and one feature is common to essentially all of them at scale: the intermediary is paid by the insurer, out of the premium pool, contingent on a sale.

That is not a scandal. It is simply the industry’s architecture, and it is the architecture almost everywhere in the world. But it has a determinate consequence: there is no commercially viable way, inside that architecture, to be paid for the following outputs.

• Telling a customer their existing cover is adequate and they should buy nothing.
• Reviewing a portfolio of policies bought from four different sources, where the recommendation may be to consolidate rather than add.
• Sustained post-sale service in a year with no new sale in it.
• Contesting a rejected claim two years after the commission was booked and spent.
• Recommending the cheaper product where a more expensive one pays better.

Each of these is valuable to the customer. None of them is a revenue event under commission. That is the gap — and it is a gap in the business model layer, not in the technology layer, which is why fifteen years of technology investment has not closed it.

The precedent: SEBI already ran this experiment

The strongest argument that this category is real is that Indian financial services has already built it once, next door.

SEBI introduced the Registered Investment Adviser framework in 2013 explicitly to separate advice from distribution — creating a legal distinction between advisors paid fees by clients and distributors paid commission by product manufacturers, with a fee ceiling of either ₹1.25 lakh per year or 2.5 per cent of assets under advice. The framework created a category that had not previously existed as a distinct commercial proposition in India, and a generation of fee-only planners built practices inside it.

It also demonstrated the size of the unmet demand by failing to meet it. As of August 2025 India had roughly 967 SEBI-registered investment advisers serving more than 20 crore investors — on the order of one regulated fiduciary advisor per two million investors, against PMS assets that crossed ₹35 lakh crore in early 2025. The category is proven, chronically undersupplied, and profitable for those inside it.

Insurance has no equivalent framework. There is no statutory fee-only fiduciary tier for insurance advice in India. For an investor that cuts both ways, and it is worth being straight about it: there is no licensing moat to acquire, but there is also no incumbent occupying the category, and no regulatory barrier to building the proposition commercially.

Why now

• Willingness to pay for financial advice has been established in India by the RIA cohort and by the subscription-broking generation that Zerodha normalised. The behavioural precedent exists.
• Health insurance grievances are rising sharply, and claim disputes are the moment customers discover that nobody is on their side. Demand for representation is created by the incumbent model’s weakest point.
• IRDAI is actively focused on mis-selling and has pushed insurers toward suitability assessment and distribution-channel controls — a regulatory direction of travel that favours advice separated from sales.
• Document-heavy advisory work — reading policy wordings, comparing exclusions, assessing a rejection against a clause — is now substantially assistable by AI, which changes the unit economics of an advisory practice that previously scaled only with headcount.
• The advisory-first digital brands that have grown fastest in Indian insurance compete on the quality of a human conversation, which is direct market evidence that advice is the scarce good.

The honest objections

A thesis worth anything states the case against itself, so here are the four objections we think are serious.

• Willingness to pay is unproven at scale in insurance specifically. Indians pay SEBI RIAs for investment advice, but insurance advice has been free-at-point-of-use for a century, and "free" is a hard price to compete with even when it is not really free.
• The commission is invisible, which makes the fee feel additive rather than substitutive. The customer does not see the distribution cost already embedded in their premium, so a fee reads as a new expense.
• It scales with trust, not with paid acquisition. That is a slower growth curve than a marketplace, and it is a poor fit for capital that needs a steep one.
• There is no licensing moat. The defensibility has to come from brand, from the proprietary data of having reviewed a large number of policies and claims, and from switching costs in an ongoing advisory relationship — not from a registration certificate.

The counter to the first two is that they are the same objection SEBI RIAs faced in 2013, and the category was built anyway by practitioners who accepted a slower curve. The counter to the third is that trust-led growth produces retention and referral characteristics that paid-acquisition marketplaces do not, and in a product bought once a year and claimed once a decade, retention is the entire business.

What the category looks like if it works

The end state is not a marketplace with a subscription bolted on. It is closer to what happened in investments: a professional advisory layer sitting above the product manufacturers, paid by the client, with technology doing the document analysis that used to make the model unaffordable below high-net-worth thresholds.

The economics that make it interesting are recurring revenue independent of policy sales, a customer relationship measured in years rather than transactions, and a claims practice that is a revenue line rather than a cost centre. The constraint that makes it hard is that it cannot be bought with marketing spend.

RiskPe is building this from Jaipur — fee-based, zero-commission, with an AI policy analysis pipeline doing the document work and a claim recovery practice that charges for outcomes. We think the category is real for the reasons above, and we would rather be early in an empty one than late in a crowded one.

Companion pieces: a category map of Indian insurance distribution models and why we rejected the commission model when we built RiskPe.

On the consumer side of the same argument: why more Indians are moving from apps to advisors and the intermediary categories explained. Company details are on the about page.