Mapping India’s Insurance Distribution Models — Aggregators, D2C Insurers, Agent-Tech and Fee-Based Advisory

A category map of how insurance actually reaches Indian customers: the marketplace model, the direct-to-consumer insurer, agent enablement platforms, embedded distribution, and the fee-based advisory layer. Who pays whom in each, what each optimises for, and where the economics break.

Insurtech roundups tend to sort companies by funding stage or by product vertical. Neither tells you much about how a business actually works, because two companies selling health insurance to the same customer can have completely different economics depending on who pays them. Sorting by distribution model is more useful, and it is how anyone underwriting the sector ends up thinking about it eventually.

India has 738 insurtech startups by Tracxn’s count, 595 active, with roughly $4.44 billion raised cumulatively and 5 unicorns. Almost all of them fall into one of five distribution archetypes. Here is the map, with the revenue mechanism and the structural limit of each.

1. The marketplace / aggregator model

The customer compares products from many insurers on a platform and transacts online. The platform holds a broker or web aggregator licence and is paid commission and related fees by insurers on business placed.

Policybazaar is the defining example and the sector’s most visible success. Its parent PB Fintech is publicly listed, reporting operating revenue of about ₹5,761 crore and net profit of about ₹353 crore in FY2025, with total insurance premium of roughly ₹7,605 crore in the quarter ending September 2025. The listing matters analytically because it makes one company’s unit economics legible in an industry that otherwise discloses very little.

• Optimises for — choice, price discovery, transaction speed, scale of acquisition.
• Revenue — insurer commission and platform fees, contingent on a sale.
• Structural limit — no revenue line for post-sale service, for portfolio review across policies bought elsewhere, or for advising that no purchase is needed.
• Moat — brand, traffic, insurer relationships, and the data of very high transaction volume.

2. The direct-to-consumer digital insurer

Here the company is the insurer, not the intermediary. It underwrites its own risk and sells direct, removing distribution commission from the chain entirely — which is why pricing is typically sharper.

Acko is the clearest Indian example and the country’s highest-funded insurtech at about $598 million raised. Its reported metrics are strong: a health claim settlement ratio around 95.75 per cent for FY2024-25 against an industry average near 91.22 per cent, and about 99.98 per cent in general insurance, per IRDAI data published in February 2026.

• Optimises for — pricing, underwriting control, speed of purchase, unit economics on standard risks.
• Revenue — underwriting margin, the insurer’s own economics.
• Structural limit — capital-intensive and regulated as an insurer; and with no intermediary in the chain, the customer has no one representing them when a claim is contested.
• Moat — the insurance licence itself, underwriting data, and cost base.

The public review record for direct insurers in India clusters consistently around one theme: buying is excellent, contested claims are where the absence of an intermediary is felt. That is a model characteristic rather than a company failing, and it is precisely the gap the advisory layer addresses.

3. Agent-tech and the advisory-first corporate agent

This category re-inserts a human but modernises everything around them. It splits into two related shapes: platforms that equip India’s vast individual agent base with better software and product access, and consumer brands that put a salaried, certified advisor in front of the customer.

Ditto is the best-known example of the second shape — founded by the Finshots team, backed early by Zerodha’s Nithin Kamath, offering a free thirty-minute consultation with a certified advisor under an IRDAI Corporate Agent (Composite) licence, CA0738, with an explicit no-spam-calls commitment. The commercial insight is that the quality and honesty of the conversation is itself the acquisition channel.

• Optimises for — trust at the point of purchase, conversion quality, education, brand affinity.
• Revenue — insurer commission, as a corporate agent, contingent on a sale.
• Structural limit — the tie-up cap, raised from three to nine insurers per category by the 2022 intermediaries amendment; and advice funded by the sale still cannot be paid for concluding that no sale is needed.
• Moat — brand and content, advisor training and quality, and the cost of replicating a genuinely trusted consumer voice.

4. Embedded and contextual distribution

Insurance sold inside another transaction — cover attached at checkout, at loan origination, at ticket purchase, or bundled by a bank. Bancassurance is the incumbent version of this and remains one of the largest distribution channels in Indian life insurance.

• Optimises for — near-zero customer acquisition cost, enormous volume, high attach rates on small-ticket products.
• Revenue — commission or revenue share with the host platform.
• Structural limit — almost no advice takes place; the customer frequently does not register that they bought insurance at all, which makes it the channel most associated with mis-selling complaints.
• Moat — the distribution partnership itself, which is also the concentration risk.

5. Fee-based advisory

The client pays for advice and support; the advisory takes no insurer commission. This is the category with the fewest players in India and no clear incumbent, which is the interesting fact about it.

It is defined by remuneration rather than by licence tier, because unlike investments there is no statutory fee-only fiduciary category in Indian insurance — SEBI created that for investments through the Registered Investment Adviser framework in 2013, and no equivalent exists here. RiskPe operates in this category from Jaipur, alongside a small number of independent practitioners.

• Optimises for — advice quality, portfolio-level review, post-sale service, claim outcomes.
• Revenue — client fees, recurring and independent of whether a policy is sold.
• Structural limit — willingness to pay is unproven at scale in insurance; growth is trust-led rather than acquisition-led; no licensing moat.
• Moat — brand and referral, the proprietary data of reviewed policies and contested claims, and the switching cost of an ongoing advisory relationship.

Where the capital has actually gone

Overlay the funding data on this map and the concentration is stark. The bulk of India’s $4.44 billion of cumulative insurtech funding has gone into archetypes one and two — the marketplace and the D2C insurer — with the single largest position, roughly $598 million into Acko, sitting in the most capital-intensive category on the map.

That is a rational allocation given what venture capital underwrites. Marketplaces and D2C insurers have steep, legible growth curves that respond to capital: more spend produces more traffic, more policies, more premium. Agent-tech and embedded distribution have similar characteristics through partnership leverage. Advisory does not — it compounds through referral and retention, which absorbs capital far less efficiently and shows results over years rather than quarters.

The analytically interesting consequence is that the least-funded archetype is not least-funded because it was evaluated and rejected. It is least-funded because its growth curve is a poor fit for the instrument, which is a different thing entirely — and it is why the category remains open in a sector with 738 companies in it.

Reading the map

Four of the five archetypes share one property: revenue arrives when a policy is sold, and is paid by the manufacturer. They differ in how they acquire the customer — price comparison, underwriting margin, human trust, or context — but not in who ultimately funds the intermediary.

Four of the five models are funded by the sale. The fifth is funded by the client. That is not a difference in strategy — it is a difference in what the business is able to be paid for doing.

This is why the sector’s headline outcome has been stubborn. IRDAI’s 2024-25 annual report puts insurance penetration static at 3.7 per cent of GDP against a world average of about 7.3 per cent, with the protection gap at roughly 70 to 80 per cent and mis-selling named as a significant concern. Capital has been deployed extensively across four archetypes that make buying easier, and barely at all against the archetype that would make advice independent.

For anyone mapping the sector, the practical implication is that "insurtech" is not one market. Underwriting a D2C insurer is an insurance-capital question, underwriting a marketplace is a customer-acquisition question, and underwriting an advisory is a trust-and-retention question. They fail for entirely different reasons and should not be compared on the same metrics.

The full argument for the fifth category is set out in why fee-based advisory is India’s next insurtech opportunity, and the operator’s account is in building RiskPe.

Consumer-facing versions of the same comparisons: Policybazaar vs Ditto vs RiskPe and the Acko review.