Gather · Prepared for Cover Genius · Internal · July 2026

The embedded protection opportunity in Southeast Asia

A strategic read of what 43 senior leaders across Indonesia, Thailand, Malaysia and Singapore told us about embedded insurance: where the appetite is, what blocks delivery, and how they want to buy.

88%rate protection top-three or rising
74%want to own the experience, partner behind the scenes
98%name a trigger to evaluate a partner within 18 months
Executive summary

Protection is on the agenda; the constraint is execution, not appetite

Across 43 senior decision-makers at banks, digital banks, super-apps, payments platforms and insurers in four SEA markets, the pattern is consistent. Demand is not the question. 88% rate embedded protection a top-three priority or say it's climbing, and only one respondent in 43 is not considering a change. What holds delivery back is the build: rigid core systems, fragmented multi-market licensing, and competing internal priorities.

For Cover Genius the more useful finding is how these leaders want to buy. Three in four want to keep the customer experience and hand only the infrastructure to a partner. That is the enabler position, sitting alongside existing carrier and bancassurance relationships rather than replacing them. The evidence supports leading with integration speed and claims performance, and framing the commercial conversation differently for platforms than for insurers.

This document is written for internal use. It states what the data establishes, where a planned headline needed reframing, and what to do with each finding. The headline map tab traces every claim back to its question and base; the data appendix carries every question in full.

01 · The gap

Appetite is high and the barriers are structural

Insurance has moved from a side revenue line to a board-level agenda item. 88% of leaders place it in the top tier of priorities or say it's rising, and only two respondents report it losing ground, both insurers in Thailand.

The barriers they describe are not about customer demand. Legacy technology and integration (49%), regulation (44%) and internal ownership disputes (42%) are each named by roughly four in ten leaders, and most name more than one. Only 14% cite weak demand. Capability exists across the region; it cannot be assembled fast enough to matter commercially.

Current internal priorityQ7.1. How would you describe the current internal priority of insurance and protection products at your organisation?Single select · n=43
Top-three strategic priority
46%
Climbing the priority list
42%
Steady-state
7%
Sliding down the list
5%
What blocks great in-app insuranceQ2.1.2. Most SEA banks and fintechs have the data and distribution to deliver a great in-app insurance experience, but few have pulled it off. From where you sit, what's really driving that — regulatory approval timelines, insurers' reluctance to share data, internal politics between the bancassurance and digital teams, or volumes not yet justifying the integration cost?Open response, themes coded; percentages exceed 100% · n=43
Legacy tech / integration
49%
Regulatory / licensing friction
44%
Internal priority / politics
42%
Data sharing / quality
14%
Customer trust / demand
14%
Talent / capability gap
7%
02 · The position

They want a tech partner, not a new carrier

This is the clearest signal in the study. 74% of leaders want to own the customer experience end to end or own most of it, with the partner behind the scenes as infrastructure. Only 9% would hand the customer relationship over.

The read for positioning is direct. The opening is for an enabler that removes the integration and claims burden while the client keeps the brand and the relationship. A pitch built as a replacement carrier works against the grain of what these buyers say they want. Traditional banks are the most protective of the front end, though on a small base (n=5).

How much experience they want to ownQ5.1.1. How much of the customer experience would you ideally want to own yourselves, and how much would you be comfortable handing to a partner?Single select · n=43
Own end to end; partner is infrastructure
37%
Own most; partner handles pieces
37%
Roughly 50/50 shared
16%
Partner owns most; we keep relationship
9%
03 · Segment nuance

Digital banks frame protection as a retention lever

The planned headline, that digital banks treat insurance as growth rather than a revenue line, holds directionally once the base is shown. 87% of digital banks would evaluate a partner off a loyalty or customer-expectation lever, against 40% of traditional banks. Digital banks also index higher on revenue diversification (47% vs 20%).

The traditional-bank base is n=5, so this is a directional contrast rather than a clean divide. The usable version for content is the retention framing: for digital banks, protection is a way to hold customers and deepen engagement, not just to add a line to the P&L.

04 · The buying window

Buyers weigh integration and claims above price, and the window is open

When leaders describe what would make them evaluate a new partner, integration speed leads at 51% and claims at 42%, both ahead of commercials at 30%. Reliability and track record (44%) sits between them, so the accurate ranking is integration first, with claims and trust effectively tied behind it, and price fourth.

The window to be in that evaluation is open now. 98% name at least one trigger that would open a partner evaluation within 18 months, and the top two, a specific product launch (67%) and competitive moves (65%), are proactive rather than remedial. Leaders are shopping to launch and to keep pace, not to fix a failure.

Incumbents are liked for service, so a displacement pitch built on relationship quality will miss. The gaps buyers name in their current partners are integration friction (37%) and claims (30%), which are exactly the criteria they rank highest when choosing a new one.

What matters when evaluating a partnerQ5.1. If you were evaluating a new insurance technology partner tomorrow, what would matter most — to your customers and to you — and why?Open response, themes coded; percentages exceed 100% · n=43
Speed / ease of integration
51%
Reliability / trust / track record
44%
Claims experience
42%
Commercials / economics
30%
Regulatory / licensing coverage
26%
Data & analytics
23%
Product flexibility / customisation
12%
Local market presence
9%
What would trigger a partner evaluationQ7.1.1. Which of these would realistically trigger you to evaluate a new insurance technology partner in the next 12–18 months? Select all that apply. - Competitive moves by other banks or fintechs in our marketMulti-select; percentages exceed 100% · n=43
A specific product launch that needs new capabili…
67%
Competitive moves by other banks or fintechs in o…
65%
Increasing customer expectations / a loyalty lever
56%
Customer experience or claims complaints reaching…
49%
A revenue diversification mandate from the board…
46%
An existing partnership or contract coming up for…
46%
Regulatory or licensing changes
44%
Migration off legacy core banking or insurance sy…
35%
New leadership
21%
None of these — we're not actively considering a…
2%
05 · Who has to say yes

The economic buyer is not the blocker

A commercial lead owns the number in about half of organisations, but the roles named as hard gatekeepers are risk (30%), legal (26%) and technology (23%). Deals stall in second-stage review, not at first pitch.

The implication for ABM is concrete. Content aimed only at the commercial owner will clear the first gate and then stall. A compliance and security track, aimed at risk and legal, is what moves a deal through the review that actually decides it.

Who is in the decision-making unitQ3.1. Walk me through who owns the commercial performance of insurance and protection in your organisation, who gets involved when you decide to bring in a new insurance partner or launch a product, and which functions — CTO, legal, risk, unit economics — show up as gatekeepers or influencers. If you operate across multiple markets, is that decision made centrally or per-market, and where does the biggest friction show up?Open response, roles coded; percentages exceed 100% · n=43
Risk / compliance
49%
Technology / CTO / IT
49%
Business / commercial lead
49%
Legal
42%
Product
37%
Finance / CFO
30%
Partnerships / BD
26%
C-suite / board
16%
Named as hard gatekeepersQ3.1g. gOpen response, roles coded · n=43
Risk / compliance
30%
Legal
26%
Technology / CTO
23%
Finance / CFO
16%
C-suite / board
5%
Implications

What to do with this

01

Sell alongside the carrier, not against it

74% want to own the experience with a partner behind the scenes; only 9% would hand over the relationship. Lead with the enabler position.

02

Lead with integration speed

Half name legacy systems as the blocker and 51% rank integration first when choosing a partner. Time-to-launch clears the first gate.

03

Arm the gatekeepers, not just the buyer

Risk, legal and technology are the hard gates. ABM needs a compliance and security track, not just a commercial deck.

04

Attack claims, not the relationship

Incumbents are liked for service. The gaps buyers name are integration friction (37%) and claims (30%), the criteria they rank highest.

Methodology

How this was run

43 senior decision-makers, fielded June to July 2026 via Cint and Prolific panels. All respondents operate in Southeast Asian markets and hold direct influence over insurance and protection decisions. 79% are C-suite or MD/SVP level, 79% are the primary decision maker, and 67% serve five million or more customers.

Sample by market: Indonesia 18, Thailand 10, Malaysia 10, Singapore 5. By organisation type: digital bank 15, ecosystem super-app 10, insurer 9, traditional bank 5, payments/wallet 4. Percentages throughout are calculated against the relevant subgroup base, shown alongside each figure. Subgroups under n=10, notably Singapore, traditional banks and payments/wallet, are directional rather than representative.

Six respondents answered the open-text questions in Thai. Those responses were translated and coded on meaning into the same framework as the English responses, so every chart reflects all 43 respondents. Open-response themes are coded and may exceed 100% where a respondent raised more than one.

Gather  ·  Prepared for Cover Genius  ·  Internal strategic report  ·  July 2026  ·  N=43
Executive summary · SEA Embedded Protection Study

PMF is validated. The pain points Cover Genius is positioned to solve are the ones these leaders name themselves.

The goal. Validate product-market fit for embedded insurance in Southeast Asian banking and fintech, and inform Cover Genius's go-to-market and ABM strategy. A qualitative sniff test before deeper investment in the region.

Across 43 senior decision-makers in four SEA markets, appetite is not the question and the barriers align with Cover Genius's proposition. Leaders describe an integration and claims problem, not a demand problem, and three in four want an enabler that sits behind their brand rather than a replacement carrier. The read is green: proceed, and lead with integration speed and claims.

The questions the plan set, answered

Q1Answered

What does the current state of insurance distribution look like across SEA banks and fintechs?

Protection is already on the agenda: 88% rate it a top-three priority or say it's climbing, and only one respondent in 43 isn't considering a change. But maturity is thin. Distribution still leans on agents and relationships for complex products, and few have assembled a modern in-app experience.

Q2Answered

What structural and operational barriers prevent meaningful in-app insurance experiences?

Legacy technology and integration (49%), regulation (44%) and internal ownership disputes (42%) are each named by roughly four in ten leaders. Only 14% cite weak customer demand. The blocker is assembly speed, not appetite.

Q3Answered

Who sits in the decision-making unit, and what triggers a vendor evaluation?

A commercial lead owns the number in about half of organisations, but risk (30%), legal (26%) and technology (23%) are the hard gatekeepers, so deals stall in second-stage review. 98% name a trigger to evaluate a partner within 18 months; the top two, a product launch (67%) and competitive moves (65%), are proactive.

Q4Validated

Is there appetite for a technology partner sitting alongside, not replacing, existing carrier and bancassurance relationships?

Yes, decisively. 74% want to own the customer experience with the partner behind the scenes as infrastructure; only 9% would hand the relationship over. This is the clearest validation of Cover Genius's enabler position in the study.

Q5Answered, with base caveats

How do needs differ across traditional banks, digital banks, e-wallets/super-apps and insurers?

Digital banks frame protection as a retention lever (87% would evaluate off a loyalty trigger vs 40% of traditional banks). Insurers are the least urgent segment and the only one where commercials never lead, so they read as a channel partner rather than a competitor for the same seat. Small bases on traditional banks and payments/wallet mean these are directional.

Q6Validated

What evaluation criteria matter, and do they map to Cover Genius's USPs?

They map cleanly. Integration speed (51%) and claims (42%) lead, both ahead of price (30%), with reliability (44%) tied between them. Cover Genius's stated USPs, speed, intelligence and claims, are the exact axes these buyers say they weigh.

Success measures

Exceeded
10–15 completed VP+ interviews across the four segments43 completes, all VP+ and above, across all five segment types.
Met
Directional read on PMF: do prospects validate the pain points?Validated. Leaders name integration and claims as the core gaps, unprompted.
Met
A working DMU map by segment, with decision triggersDelivered: economic buyer vs hard gatekeepers mapped, plus a ranked trigger list.
Met
A short list of vendor evaluation criteria mapped to USPsDelivered and ranked: integration, claims, reliability ahead of price.
Exceeded
3–4 directional headlines to anchor GTM/ABMFour planned headlines assessed (2 hold, 2 reframed), plus 3 structural findings the data added. See the headline map.

What to do next

  1. Lead GTM with the enabler position (74%) and integration speed (51%), not a replacement-carrier message.
  2. Build ABM in two tracks: a commercial deck for the economic buyer and a compliance/security track for the risk, legal and technology gatekeepers who decide the deal.
  3. Sequence the region by readiness: Indonesia and Malaysia show the highest activated priority; Thailand carries scale but the least urgency.
  4. Treat small-base segment reads (traditional banks, payments/wallet, Singapore) as directional; confirm in a follow-up wave before hard-coding segment messaging.

Methodology · who we talked to

43 senior decision-makers, fielded June to July 2026 via Cint and Prolific panels. All operate in Southeast Asian markets and hold direct influence over insurance and protection decisions. Excludes pure carriers without bank distribution and existing Cover Genius customers in the region.

95%are C-suite or MD/SVP level
79%are the primary decision maker
67%serve 5 million or more customers
By market
Indonesia18
Thailand10
Malaysia10
Singapore5
By organisation type
Digital bank15
Ecosystem super-app10
Insurer9
Traditional bank5
Payments / wallet4

Percentages throughout are calculated against the relevant subgroup base, shown alongside each figure. Subgroups under n=10, notably Singapore, traditional banks and payments/wallet, are directional rather than representative. Six respondents answered open questions in Thai; those were translated and coded on meaning, so every figure reflects all 43 respondents.

Headline map · SEA Embedded Protection Study

How the headlines map to the data

The four headlines the research plan worked back from, measured against the verified N=43 results, plus the structural findings the data surfaced on top. Colour marks whether the data holds the headline as written, supports it once reframed, or points the other way. Every figure traces to the structured survey data and its question number.

2Holds
2Reframed
0Contradicted
3Data-added
Holds — confirmed as writtenReframed — supported once adjustedContradicted — points the other wayData-added — surfaced beyond the plan

Planned headlines — the four from the research plan

Headline 1 (lead)Holds

Most SEA banks have the data and distribution to win embedded insurance, and almost none are using it.

What the data says

88.4% of leaders rate protection a top-three priority or say it's climbing the agenda (Q7.1), yet the barriers they name are structural, not demand: legacy technology and integration (48.8%), regulation (44.2%) and internal ownership disputes (41.9%). Only 14.0% cite weak customer demand (Q2.1.2).

Disposition

Carries the exec summary and §01. Lead with the gap between appetite and execution.

Report §01
Headline 2 (the position)Holds

Bancassurance isn't broken, the experience layer is. SEA banks want a tech partner, not a new carrier.

What the data says

74.4% want to own the customer experience end to end or own most of it, with the partner behind the scenes as infrastructure. Only 9.3% would hand the customer relationship to a partner (Q5.1.1).

Disposition

The single strongest stat for Cover Genius's positioning. This is the spine of the report.

Report §02
Headline 3Reframed

For digital banks, insurance is a growth lever, not just a revenue line.

What the data says

Directionally supported: 86.7% of digital banks would evaluate a partner off a loyalty / customer-expectation lever, versus 40.0% of traditional banks, and digital banks index higher on revenue diversification too (46.7% vs 20.0%) (Q7.1.1). But the traditional-bank base is n=5, so this is a directional contrast, not a clean split.

Disposition

Reframe from a hard claim to a directional contrast, and show the base. The retention-lever angle is the cleaner cut.

Report §03
Headline 4 (optional)Reframed

Speed of integration and claims performance outweigh price when SEA buyers evaluate an InsurTech partner.

What the data says

Integration speed leads at 51.2% and claims at 41.9%, both ahead of commercials / economics at 30.2% (Q5.1). Reliability and track record (44.2%) sits between them, so the honest version is that integration leads, with claims and trust effectively tied behind it, and price fourth.

Disposition

Holds on the core claim; add reliability to the story so the ranking is accurate.

Report §04

Structural findings — what the data added

Structural findingData-added

The economic buyer isn't the blocker; risk, legal and technology are.

What the data says

A commercial lead owns the number in about half of organisations, but risk (30.2%), legal (25.6%) and technology (23.3%) are the roles named as hard gatekeepers (Q3.1). Deals stall in second-stage review.

Disposition

Strong enough to carry an implications point on ABM content design.

Report §05
Structural findingData-added

98% name a trigger that would open a partner evaluation within 18 months.

What the data says

Only one respondent in 43 says they're not considering a change. The top two triggers, a specific product launch (67.4%) and competitive moves (65.1%), are proactive rather than remedial (Q7.1.1).

Disposition

Establishes the buying window. Sits in the exec summary and §04.

Report §04
Structural findingData-added

Incumbents are liked for service; the wedge is technical, not relational.

What the data says

Service and communication is the most common thing buyers say works about current partners (39.5%). The gaps they name are integration friction (37.2%) and claims (30.2%) (Q4.1), which map onto the criteria they rank highest.

Disposition

Sharpens the displacement message: attack integration and claims, not the relationship.

Report §04
Data appendix · every question

The full data, one chart per question

Every survey question, screeners included, shown as a chart rather than a table. Click any segment to add it as a bar to every chart, and stack as many as you like to compare head to head, for example traditional bank versus digital bank, or across markets. "All respondents" is the baseline. Percentages are of each selected subgroup base; bases under 10 are directional.

MarketsOrganisation types

Screener

Organisation typeS1. Which best describes your organisation?Single select · n=43
Digital bank
35%
Ecosystem super-app
23%
Insurer
21%
Traditional bank
12%
Payments / wallet
9%
Organisation sizeS2. Roughly how many customers or users does your organisation serve across your SEA markets?Single select · n=43
More than 20 million
33%
5 - 20 million
35%
1 - 5 million
28%
250,000 – 1 million
5%
Involvement in decisionsS3. How directly are you involved in insurance or protection partnership and product decisions at your organisation?Single select · n=43
I'm the primary decision maker
79%
I'm part of the team that makes the call (significa…
21%
Seniority levelS4. Which best describes your level?Single select · n=43
C-suite / executive board
51%
Managing Director / SVP / Head of function
44%
VP / Director
5%
Part of the businessS5. Which part of the business do you primarily sit in?Single select · n=43
Insurance / bancassurance / protection
40%
Digital / platform / channels
40%
Partnerships / business development
9%
Strategy / commercial
7%
Product
5%

Portfolio

SEA markets operated inQ1. Which SEA markets do you operate in? Select all that apply. - SingaporeMulti-select; percentages exceed 100% · n=43
Singapore
88%
Malaysia
88%
Indonesia
74%
Thailand
70%
Philippines
42%
Vietnam
30%

Barriers

What blocks great in-app insuranceQ2.1.2. Most SEA banks and fintechs have the data and distribution to deliver a great in-app insurance experience, but few have pulled it off. From where you sit, what's really driving that — regulatory approval timelines, insurers' reluctance to share data, internal politics between the bancassurance and digital teams, or volumes not yet justifying the integration cost?Open response, themes coded; percentages exceed 100% · n=43
Legacy tech / integration
49%
Regulatory / licensing friction
44%
Internal priority / politics
42%
Data sharing / quality
14%
Customer trust / demand
14%
Talent / capability gap
7%

Decision-making

Who is in the decision-making unitQ3.1. Walk me through who owns the commercial performance of insurance and protection in your organisation, who gets involved when you decide to bring in a new insurance partner or launch a product, and which functions — CTO, legal, risk, unit economics — show up as gatekeepers or influencers. If you operate across multiple markets, is that decision made centrally or per-market, and where does the biggest friction show up?Open response, roles coded; percentages exceed 100% · n=43
Risk / compliance
49%
Technology / CTO / IT
49%
Business / commercial lead
49%
Legal
42%
Product
37%
Finance / CFO
30%
Partnerships / BD
26%
C-suite / board
16%
Named as hard gatekeepersQ3.1g. gOpen response, roles coded · n=43
Risk / compliance
30%
Legal
26%
Technology / CTO
23%
Finance / CFO
16%
C-suite / board
5%

Partnerships

Current partner experienceQ4.1. Who do you work with on insurance today — can you name your current partner or partners? Why did you pick them, what's working well, and where are the cracks? When something isn't working, do they step in to solve it, or does that fall back on you?Open response, themes coded; percentages exceed 100% · n=43
Service / communication works
40%
Integration / tech friction
37%
Claims handling is the pain point
30%
Coverage / product range works
19%
Speed / turnaround problems
16%
What matters when evaluating a partnerQ5.1. If you were evaluating a new insurance technology partner tomorrow, what would matter most — to your customers and to you — and why?Open response, themes coded; percentages exceed 100% · n=43
Speed / ease of integration
51%
Reliability / trust / track record
44%
Claims experience
42%
Commercials / economics
30%
Regulatory / licensing coverage
26%
Data & analytics
23%
Product flexibility / customisation
12%
Local market presence
9%
How much experience they want to ownQ5.1.1. How much of the customer experience would you ideally want to own yourselves, and how much would you be comfortable handing to a partner?Single select · n=43
Own end to end; partner is infrastructure
37%
Own most; partner handles pieces
37%
Roughly 50/50 shared
16%
Partner owns most; we keep relationship
9%

Forward view

Current internal priorityQ7.1. How would you describe the current internal priority of insurance and protection products at your organisation?Single select · n=43
Top-three strategic priority
46%
Climbing the priority list
42%
Steady-state
7%
Sliding down the list
5%
What would trigger a partner evaluationQ7.1.1. Which of these would realistically trigger you to evaluate a new insurance technology partner in the next 12–18 months? Select all that apply. - Competitive moves by other banks or fintechs in our marketMulti-select; percentages exceed 100% · n=43
A specific product launch that needs new capabili…
67%
Competitive moves by other banks or fintechs in o…
65%
Increasing customer expectations / a loyalty lever
56%
Customer experience or claims complaints reaching…
49%
A revenue diversification mandate from the board…
46%
An existing partnership or contract coming up for…
46%
Regulatory or licensing changes
44%
Migration off legacy core banking or insurance sy…
35%
New leadership
21%
None of these — we're not actively considering a…
2%
Verbatim library

Every answer, in the respondents' own words

Filter by market, organisation type and question. Six respondents answered in Thai; those quotes are translated and labelled, with the original available on each.

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