“In 2026, the insurers pulling ahead won’t be the ones chasing every new AI trend. They’ll be the ones that are investing in trusted data foundations and can move faster, more confidently, and more responsibly than everyone else.”
Author Owen Greenwood, Client Partner – Insurance, Dufrain
As we move into 2026, insurers aren’t short of priorities.
Profitability remains under pressure. Regulatory expectations continue to develop. Cyber risk is evolving faster than traditional underwriting models can keep up. And AI is moving from experimentation into something far more serious.
Considering this context, what’s interesting is where insurers are choosing to invest.
Across the market, we’re seeing a clear pattern: insurers are doubling down on strong data platforms and robust data governance and management, not because data is fashionable, but because it has become foundational to delivering every major insurance priority in 2026.
Below are the trends we believe will shape the insurance industry this year and how data and AI are quietly supporting each one.
Trend 1: Profitability drives deeper insight, not just faster reporting
In 2026, profitability is no longer something insurers review retrospectively. Boards want sharper, more frequent insight into performance and risk.
Loss ratios, underwriting performance and pricing adequacy are under sustained scrutiny, particularly as market conditions soften and claims inflation remains unpredictable.
Where insurers are making progress is not through more complex reporting, but through:
- the ability to analyse performance at a far more granular level
- unified policy, premium and claims data
- consistent definitions across underwriting, actuarial and finance
AI and advanced analytics are increasingly being used to support pricing and underwriting decisions, but only where insurers trust the data feeding those models. Without that confidence, automation simply scales uncertainty.
From our work with insurers, once loss ratio data is automated, well-modelled and refreshed frequently, decision-making becomes faster, calmer and far more credible.
Trend 2: Consumer Duty shifts from compliance to continuous evidence
In 2026, Consumer Duty is no longer “new”, but regulatory expectations are still evolving.
The focus is moving away from static reports towards ongoing monitoring of customer outcomes, with a clear expectation that firms can evidence:
- what data was available at the time decisions were made
- how outcomes were assessed across different customer cohorts
- how issues are identified and addressed over time
This has significant implications for data strategy.
Point-in-time accuracy, lineage and auditability are no longer “nice to have”. They are fundamental. AI has a role to play here, particularly in identifying emerging patterns or potential harm signals, but it depends entirely on strong data foundations.
Without them, Consumer Duty evidence quickly becomes fragile.
Trend 3: Cyber insurance becomes more data-led and dynamic
Cyber will remain one of the most challenging and fast-moving areas of insurance in 2026.
Demand continues to grow, but volatility in pricing and loss patterns is forcing insurers to rethink how cyber risk is assessed and monitored. Regulators are also increasing their focus on operational resilience and cyber preparedness.
What’s changing is the reliance on data.
Insurers are increasingly looking to:
- integrate external threat intelligence
- improve the frequency and freshness of cyber risk data
- move away from static, annual snapshots towards more continuous views of exposure
AI can support this, particularly in analysing large volumes of cyber data, but only where data pipelines are robust and governed.
Cyber doesn’t introduce a new data challenge. It simply exposes weak ones much faster.
Trend 4: AI investment becomes more selective and more serious
In 2026, AI is no longer about pilots for the sake of innovation.
Insurers are becoming far more selective about where AI is applied, with increased scrutiny around:
- explainability
- regulatory risk
- data quality
- long-term return on investment
What we’re seeing is a shift from asking “where can we use AI?” to “are we ready to use AI responsibly?”
That readiness depends on:
- consistent data models
- strong governance and lineage
- trusted, high-quality data sources
The insurers seeing real value from AI are the ones that invested early in data platforms that support control and transparency, not just speed.
This shift from ambition to execution is something we’ve explored directly with insurers in recent discussions on agentic AI. What consistently resonated was not the novelty of autonomous agents, but the conditions required to use them responsibly. Through proper agentic service design, agentic AI can support multi-step workflows such as document analysis and submission scoring in practical underwriting scenarios, but only when it operates within well-governed data platforms and existing technology stacks. The emphasis remains firmly on underwriters staying in control, with AI accelerating decisions rather than replacing judgement. Without strong data quality, clear success criteria and robust governance, agentic AI quickly becomes more risk than reward.
Watch our demo on agentic AI with Microsoft
Trend 5: Platforms over point solutions
Finally, 2026 will continue to favour platforms over tactical fixes.
M&A activity, legacy estates and fragmented data landscapes are still common across the insurance sector. However, appetite for one-off reporting solutions or bespoke pipelines is declining.
Insurers are prioritising modern data architecture and platforms that:
- support multiple use cases from a single foundation
- reduce long-term operational complexity
- lower the marginal cost of new analytics and AI initiatives
In practice, this is what enables organisations to scale insight without scaling teams endlessly and to remain agile as priorities change.
What this means for insurers in 2026
Across all of these trends, the pattern is consistent.
Different pressures. Different owners. Different timelines.
But the same underlying requirement: trusted, well-governed data foundations that allow insurers to respond quickly, confidently and responsibly.
In 2026, the insurers that move fastest won’t be the ones chasing every new trend. They’ll be the ones that invested early in getting their data house in order and are now able to build on it.
For more information on how we support Insurers read more here.
Frequently Asked Questions
What are the biggest insurance trends for 2026?
Profitability focus, maturing Consumer Duty expectations, cyber risk evolution, more selective AI adoption, and continued investment in scalable data platforms.
Why are insurers still investing heavily in data platforms?
Because strong data foundations enable multiple outcomes, regulatory confidence, pricing accuracy, AI readiness and operational efficiency.
How is AI being used in insurance in 2026?
More selectively and responsibly, supporting underwriting, pricing and monitoring where data quality, governance and explainability are in place.
What role does cyber play in insurance data strategy?
Cyber accelerates the need for frequent, reliable data and exposes weaknesses in fragmented or poorly governed data environments.