Insurtech Market Size Slides: 10 Real Insurance Examples
How insurance startups size their market: premium funnels, line-of-business comparisons, penetration benchmarks and scope definitions.
Insurtech Market Slide: Size the Premiums You Can Actually Write
Insurance is one of the largest markets in the world, so a headline premium total tells investors almost nothing. What they want is the line of business you write, the customers you insure and why that slice suits a new entrant. The ten slides below range from a sourced premium funnel and a footnoted bottom-up calculation to headline numbers with no source and columns that don't add up.
TL;DR
Start from sourced gross written premium, narrow it to your line of business and customer, and explain why that line is winnable. Lula steps from $1.3T of US premium (Swiss Re) to the commercial lines it serves. Beam Dental compares dental with medical, auto and home on loss severity and predictability, not just size. Sofía turns penetration benchmarks from other countries into a $11B to $25B range. Angle Health shows the multiplication behind its figure: 218 million lives × $7,188 average annual premium = $1.57 trillion, with a source for each input. Weaker slides mix premium with insured liability (Planetwatchers), size the market by a savings percentage without showing the base (Predina), or label a column with a total its items don't reach (Arbol).
Insurtech market slides from real pitch decks
Each example shows the slide above its analysis and links to the full teardown. The first five come from the first version of this guide, clearest first; the five added on 2026-10-01 follow, starting with a footnoted bottom-up calculation. Claims are as shown on the slides; comments and calculations are ours.
Lula market slide — slide 3
Commercial auto insurance for fleets, US. The slide is labelled 4 in the deck.
Lula deck, slide 3. Exact stored slide matched to this analysis.
Our analysis: A three-step funnel: all premium, the commercial lines, then share within commercial auto.
Evidence and limitation: One named source and figures in premiums. Our calculation: 638 + 679 = $1,317B, which matches the $1.3T; the five boxed commercial lines add up to about $306B. No year is given.
What a founder can adapt: "US premium $[X] ([source], [year]) → [line] $[Y] → top [N] carriers hold [%]."
Supporting analysis
What the deck claims: "The US Insurance Market is a very large opportunity that underserves commercial customers and remains highly-fragmented." "Total US Insurance TAM ($B)": "638B Property & Casualty", "679B Life & Annuity", "$1.3T Annual Gross Written Premium". "Total US Property and Casualty Insurance by Category ($B)": Personal Auto 229.6B, Homeowners 102.0B, Commercial Other 102.0B, General Liability 76.5B, Workers Comp 51.0B, Commercial Auto 38.3B, Commercial Multi Peril 38.3B, with the commercial lines boxed as "Commercial Insurance Markets". "US Commercial Auto Market Share ($B)": Other 58.4% (20.38B), Progressive 8.8% (3.18B), then Travelers, Liberty Mutual, Zurich and others. "Source: Swiss Re."
Presentation choice: Investors can follow the market down to the line Lula writes and see how split up it is.
When it does not fit: Stopping at the $1.3T headline without narrowing to the line you write.
Beam Dental deck, slide 4. Exact stored slide matched to this analysis.
Our analysis: A segment-choice slide: why this line, not only how big it is.
Evidence and limitation: Named sources, and the market-size row is marked as private insurance. Dental is not the largest line in the table; the case rests on capped losses, high predictability and lighter regulation. The slide doesn't say which source supports which figure, or the year.
What a founder can adapt: "[Line] $[X] ([source], [year]) vs [alternatives]; our line wins on [severity / predictability / regulation]."
Supporting analysis
What the deck claims: "Dental is a Favorable Segment of Insurance." "Legacy carriers are vulnerable to a tech-enabled new entrant." Table comparing Dental & Ancillary, Medical, Auto and Home: Loss Severity "Capped" vs "Catastrophic" for the other three; Loss Frequency Med / High / Med / Low; Predictability High / Med / Low / Low; Regulation Level Low / High / Med / Med; Market Size $210B / $750B / $250B / $110B; legacy and insurtech players for each. Footnotes: "1. Relative to the insurance industry overall; 2. Private Insurance." Sources: National Association of Dental Plans, IBISWorld, NAIC, Insurance Information Institute, Mordor Intelligence.
Presentation choice: For an insurer, the risk profile of a line matters as much as its size, and this slide shows both.
When it does not fit: Showing only the biggest number. Pair size with the reason your line is winnable.
Sofía deck, slide 5. Exact stored slide matched to this analysis.
Our analysis: A benchmark range: what the market would be at other countries' coverage levels.
Evidence and limitation: Sourced penetration rates, and the range is built openly from two benchmarks. The dollar figures appear to scale today's ~$4B market by penetration; the slide doesn't show that calculation or the year.
What a founder can adapt: "Today $[X] at [%] coverage ([source]); at [benchmark country]'s [%] = $[Y]; at [second benchmark] = $[Z]."
Supporting analysis
What the deck claims: "MARKET PENETRATION." "There is a $11B to $25B latent market to be captured." "Private health insurance penetration": Ireland 50% privately insured, Brazil 26%, Mexico 7%. Brackets: "~$4B USD" at Mexico's 7%, "~$11B USD" at Brazil's level, "~$25B USD" at Ireland's level. Sources: Agência Nacional de Saúde Suplementar, Asociación Mexicana de Instituciones de Seguros, Private Health Insurance in the European Union Report.
Presentation choice: It gives investors a low and a high case they can argue with, instead of one unexplained number.
When it does not fit: Presenting the high end of a benchmark range as the market you will win.
Amplify deck, slide 3. Exact stored slide matched to this analysis.
Our analysis: A product-mix chart that shows which kind of policy dominates new sales.
Evidence and limitation: The chart has a source and says it uses annualised new premium. Our calculation: the permanent segments add up to 80%, so the headline holds. The three company figures on the left are not labelled; they look like company values rather than premiums, so they don't measure the same thing as the chart.
What a founder can adapt: "New [product] premium $[X] a year ([source], [year]) = [%] of [line]." Keep comparisons in the same unit.
Supporting analysis
What the deck claims: "THE INDUSTRY TODAY." "Perm life makes up the majority of the life insurance industry today." "Other countries already have widespread use of permanent life insurance as a fundamental pillar of retirement." "Ping An = $119B (China)", "Aviva = $10B (Europe)", "Policybazaar = $6B (India)". Chart "Life Insurance Industry by Premium Volume": "Permanent life $11B new premium per year"; Whole Life 35%, IUL 26%, VUL 13%, Fixed UL 6%, Term 20%. "Source: LIMRA." "Chart based on annualized premium."
Presentation choice: It shows the product Amplify sells is the largest share of new premium.
When it does not fit: Placing company valuations next to premium figures as if they were comparable.
Honeycomb deck, slide 3. Exact stored slide matched to this analysis.
Our analysis: A scope slide with a headline number attached.
Evidence and limitation: A clear definition of what the policy covers and doesn't, but the $26B figure has no source, year or explanation of how it was reached.
What a founder can adapt: Keep the scope diagram and add: "[N] multifamily buildings × $[average premium] = $[X] ([source], [year])."
Supporting analysis
What the deck claims: "Multi-family property insurance – $26B US market." "Covers": "Building (fire, water damage, wind/hail)", "Liability – common areas". "Doesn't cover": "Tennant personal property/liability."
Presentation choice: Included as a contrast: defining scope is useful, but the number needs support.
When it does not fit: A headline premium figure with no source.
Health insurance for employers, US. The slide is marked "Confidential".
Angle Health deck, slide 9. Exact stored slide matched to this analysis.
Our analysis: A bottom-up funnel from national premium to the first two states, with the launched market marked.
Evidence and limitation: Every headline figure shows its inputs and a source. Our calculation: 10,087,000 × $6,795 ≈ $68.54B and 218M × $7,188 ≈ $1.567T, matching the slide. The metro figures have no stated method.
What a founder can adapt: "[N] lives ([source], [year]) × $[average premium] ([source]) = $[X]; launched in [market] ($[Y])."
Supporting analysis
What the deck claims: "Market Expansion." "$68.5 Billion (10,087,000 Lives x $6,795 Average Annual Premium in these markets) Employer-Based Health Coverage in Utah and Texas Alone." "$1.57 Trillion (218 Million Lives x $7,188 Average Annual Premium in the U.S.) U.S. Commercial Health Insurance Market." "$2.61 Trillion Total U.S. Health Insurance Market." Map boxes: Utah $12 Billion "Launched"; SF, LA, OC, SD $88 Billion; Denver, Boulder $12 Billion; ATX, HOU, DFW $56 Billion; NYC $32 Billion; Miami $18 Billion. Footnotes: "(1) ACS 2019 (2) AHRQ MEPS 2019 (3) KFF 2019 Employer Health Benefits Annual Survey (4) CMS NHE 2019".
Presentation choice: Investors can redo the arithmetic and check each input against the named survey.
When it does not fit: Map figures without a method next to footnoted headline figures; give every number the same support.
Family health care company working with Medicaid, starting in Louisiana. Marked "Proprietary & Confidential".
Nest Health deck, slide 14. Exact stored slide matched to this analysis.
Our analysis: A staged expansion: one payer type first, then adding others.
Evidence and limitation: Measured in premium, with a clear start market. No source or year is given, and the slide does not show how the Louisiana dollar figures relate to the family counts.
What a founder can adapt: "[Start segment] $[X] ([source], [year]) → + [segment] $[Y] → + [segment] $[Z]; launch market [N] customers × $[premium]."
Supporting analysis
What the deck claims: "Medicaid represents an $80B TAM, with a clear glidepath towards additional populations & revenue sources." "Premiums for U.S. Families with Children" under 5 years old. Three circles: Medicaid, National $80B Total U.S. Premium, Louisiana ~80K Families, $1B; Medicaid + Exchange, $89B, ~95K Families, $1.3B; Medicaid + Exchange + Commercial, $188B, ~200K Families, $2.6B.
Presentation choice: It shows the order in which the company plans to grow into a larger premium pool.
When it does not fit: Local figures with no stated calculation.
Satellite crop monitoring for insurers and agriculture, US.
Planetwatchers deck, slide 3. Exact stored slide matched to this analysis.
Our analysis: A problem slide carrying the market size.
Evidence and limitation: No source or year for any figure. $17bn is premium; $100bn+ is insured liability, a different measure.
What a founder can adapt: "US crop insurance premium $[X] ([source], [year]); insured liability $[Y] ([source]) is the exposure our monitoring covers."
Supporting analysis
What the deck claims: "Challenges in agriculture:" "The crop insurance industry in the USA is a $17bn market with $100bn+ of liability. Climate change is leading insurers to handle increasing claims that directly impact the food production supply chain." "The $300bn agriculture industry in the USA contributes to 10.5% of annual green house gas emissions." Side panels: optical satellite imagery "provides only 25% visibility due to cloud cover and poor lighting"; drones "are expensive, slow to deploy".
Presentation choice: Included as a contrast: the premium figure is the right measure, but it needs a source, and the liability figure should be labelled as exposure, not market.
When it does not fit: Placing premium and liability in one sentence as if both were the market.
Accident-risk prediction for auto insurers, UK and US. The slide is numbered 10.
Predina deck, slide 10. Exact stored slide matched to this analysis.
Our analysis: Sizing by the value created for insurers rather than by premium.
Evidence and limitation: Our calculation: $1.73BN at 1% implies a base of about $173BN. This slide does not state what the base is or its source; Predina's earlier problem slide, used in the insurtech problem guide, discusses auto insurers' losses.
What a founder can adapt: "US auto [claims/losses] $[X] ([source], [year]); each 1% reduction = $[Y]; our pilots show [measured result]."
Supporting analysis
What the deck claims: "1% improvement = $1.73BN (across US Auto Insurance for 2018)."
Presentation choice: For a company selling to insurers, savings can be a fairer market measure than total premium.
When it does not fit: A savings figure with no stated base, and no evidence that 1% is achievable.
Arbol deck, slide 8. Exact stored slide matched to this analysis.
Our analysis: A timeline of segments from today's market to later ones.
Evidence and limitation: The note defines what the numbers measure, which most slides don't. No source or year. Our calculation: Existing sums to $14B and Emerging to $68B, but Medium Term items sum to $50B against "$100B+".
What a founder can adapt: Keep the stages and the definition note; add a source per segment and make each column add up.
Supporting analysis
What the deck claims: "Market Opportunity." "Corporates and public entities will seek to hedge climate volatility as they would any other exposure or quantifiable risk. We are at the very early stages of addressing climate risk management." Existing $14B+: Utilities & Energy $9B, Commodity Trading $3B, Parametric Reinsurance $2B. Emerging $65B+: Renewable Energy $9B, Uninsured Crop $9B, Property Insurance $50B+. Medium Term $100B+: Logistics & Shipping $15B, Corporate Risk $15B, Public $20B. "Note: Figures represent gross revenue opportunity for managing weather and catastrophe risk on a parametric basis."
Presentation choice: It separates the market Arbol can address now from the ones it expects later, and says what the figures measure.
When it does not fit: A column total its items don't reach, with no explanation.
What improved: Our illustrative rewrite of the Honeycomb headline; bracketed text is a placeholder, not company fact.
What's different about insurance market sizing
Insurance markets are measured in gross written premium and published by line of business (property, casualty, life, health) by regulators and industry bodies, which gives a checkable base. Lines behave very differently: loss severity, regulation and distribution decide whether a new carrier or MGA can compete. Penetration also varies by country, so many emerging-market insurtechs size their opportunity by benchmarking against countries with higher coverage.
What investors check
Whether the figure is premium, and for which line and country. Whether each figure has a source. Whether the step from total premium to the line served is shown. Whether benchmark-based ranges are presented as scenarios rather than facts. Whether unlike measures, such as company valuations and premium volumes, sit side by side.
Bottom-up: lives or policies times average premium
A bottom-up insurance market figure multiplies the number of people, businesses or assets that buy the cover by the average premium they pay. Angle Health does this twice on one slide: 10,087,000 lives × $6,795 average annual premium for employer-based health coverage in Utah and Texas gives $68.5 billion, and 218 million lives × $7,188 for US commercial health insurance gives $1.57 trillion. Each input has a numbered footnote (ACS 2019, AHRQ MEPS 2019, KFF 2019). Our calculation: 10,087,000 × $6,795 is about $68.54 billion and 218 million × $7,188 is about $1.567 trillion, so both headline figures follow from their inputs.
The same slide marks Utah ($12 billion) as "Launched" and places the next metro areas on a map with their own figures. That separates the market the company already serves from the markets it plans to enter, which is the step most market slides skip.
Premium, liability and savings are different numbers
Insurance slides often quote three kinds of figure: premium (what customers pay each year), liability or insured value (how much the insurers would pay out if every policy claimed), and losses or claims (what they actually pay). Only premium is a market size in revenue terms. Planetwatchers writes that US crop insurance "is a $17bn market with $100bn+ of liability"; the first number is the market, the second is the exposure, and the slide does not source either.
Some companies sell to insurers rather than insure anyone themselves. Their market is the value they create for the insurer, often a reduction in claims. Predina's slide reads "1% improvement = $1.73BN (across US Auto Insurance for 2018)". Our calculation: that implies a base of about $173 billion, but this slide does not say what the base is (claims, losses or premium) or where it comes from. If you size by savings, show the base, its source and why 1% is realistic.
Expansion stages and columns that should add up
Staged sizing shows where a company starts and how it grows into a larger market. Nest Health shows US premiums for families with children under five as $80B for Medicaid, $89B with the exchange added and $188B with commercial cover, each with a Louisiana family count and figure ($1B, $1.3B, $2.6B). The structure is clear; the slide gives no source and does not explain how the Louisiana dollar figures were calculated from roughly 80,000 to 200,000 families.
Arbol groups climate-risk opportunity into Existing ($14B+), Emerging ($65B+) and Medium Term ($100B+), with a footnote that the figures are "gross revenue opportunity for managing weather and catastrophe risk on a parametric basis". Our calculation: the Existing items add up to $14B and the Emerging items to $68B, consistent with their labels, but the Medium Term items ($15B, $15B, $20B) add up to $50B against a "$100B+" label. Either the column is cumulative or there are missing items; the slide doesn't say. Check every column before you present it.
How we read each slide
We quote the text on the stored slide images and mark our own arithmetic as ours. We have not checked any market figure or source. Page numbers are pages in the original deck file.
Common mistakes
Total insurance premium as your market. Size the line you write.
Numbers with no source. Cite regulators or industry bodies.
Company values beside premiums. Compare like with like.
Benchmark ranges shown as fact. Label them as scenarios.
Liability quoted as market. Insured liability is exposure; premium is the market.
Savings with no base. Say what the percentage is a percentage of, with a source.
Columns that don't add up. Check every total against its items.
Diagnostic checklist
Market measured in premium.
Line of business and customer named.
Source and year for each figure.
Why the line is winnable.
Company target share.
Bottom-up inputs (lives or policies × average premium) shown with sources.
Premium, liability and savings labelled separately.
Every column total matches its items.
Frequently asked questions
How should an insurtech size its market?
Start from sourced gross written premium, narrow it to your line and customer, and explain why that line suits you. Lula steps from $1.3T US premium (Swiss Re) to the commercial lines it serves.
Can I size an emerging insurance market with benchmarks?
Yes, if you show the benchmarks. Sofía uses private health coverage in Brazil (26%) and Ireland (50%) to turn Mexico's 7% into a $11B to $25B range. Angle Health shows the multiplication behind its figure: 218 million lives × $7,188 average annual premium = $1.57 trillion, with a source for each input. Weaker slides mix premium with insured liability (Planetwatchers), size the market by a savings percentage without showing the base (Predina), or label a column with a total its items don't reach (Arbol).
How we chose these examples
Corpus: published pitch deck teardowns on StartupFundraising.com. Founder-uploaded private decks are excluded.
Selection (2026-09-28): we searched teardown slide text for market-size wording together with insurance, insurtech, premium and underwriting terms, shortlisted seven slides and kept five.
Excluded: CyberPal p4 (already used in the cybersecurity market guide), Arbol p8 (no stored slide image at the time) and a duplicate Beam deck. Slides already used in other guides were not reused.
Update (2026-10-01): a further search of the slide-text index for insurance, premium and market-size wording added five pages from private companies: Angle Health p9, Planetwatchers p3, Nest Health p14, Predina p10 and Arbol p8 (now rendered from the original file). Angle Health p10, Predina p5 and Arbol p6 are used in other guides; the pages used here are different slides. IFC p13 was excluded because it describes Intact, a listed insurer.
Page numbers are pages in the original deck files. The first five images were stored and viewed on 2026-09-28; the five added pages were rendered at 1200 pixels from the original deck files and every figure checked against the image on 2026-10-01.
Market figures and sources are quoted from the slides and not independently verified. Calculations (sums, shares) are ours and marked as such.
Review: slide images were checked on 2026-09-28 and 2026-10-01 and matched to company, deck and page (editorial model review). No person has yet completed an editorial review of this page. We make no claim that any slide caused a fundraising outcome.
