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Ireland’s insurance inflection point: Competing for advantage in a reshaped market

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  • Insight
  • 4 minute read
  • January 14, 2026

Irish insurers are entering a period of structural reinvention, shaped by inflation, new competition, legacy technology and AI. This article explores the six shifts reshaping the market and the strategic choices leaders now face.

Darren O'Neill

Darren O'Neill

Partner, PwC Ireland (Republic of)

The Irish general insurance sector is moving from a period of relative stability and inertia to one of structural reinvention. After many years of a relatively static status quo and predictable navigation through hard and soft cycles, we’re now in a period of continuous disruption and change. Insurers face a convergence of forces and the relevance of traditional operating models to meet the associated demands are potentially inadequate: cost inflation that has reset the economics of risk, demographic shifts that are rewriting actuarial assumptions, legacy technology that constrains competitive response, and new entrants that are testing Irish incumbents with capabilities forged in more competitive markets.

This isn’t cyclical disruption or disruption that’s confined to the Irish insurance market. There’s a global transformation under way — from embedded distribution and real-time risk signals to AI-enabled claims processing and ecosystem partnerships. These changes represent a fundamental redefinition of what insurance companies do and how value is created. For boards and C-suite leaders, the strategic question is no longer whether to transform, but whether transformation will be deep enough and fast enough to secure a competitive position in a market where the rules of engagement are being rewritten. 

This article examines six structural shifts reshaping Ireland’s general insurance landscape and poses critical questions every insurance leader must address in 2026 and beyond.

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Six structural shifts reshaping Irish insurance

Irish insurers, along with global counterparts, are contending with inflation that has fundamentally reset the economics of underwriting. Rebuild costs for homes have surged approximately 25–30% since 2021, according to the Society of Chartered Surveyors Ireland (SCSI) guidance, driven by materials inflation, labour shortages, and supply chain disruption. Motor claims severity has followed a similar trajectory, with vehicle purchase prices up roughly 25–30% since 2019 and used car values having spiked 60–70% between 2020 and late 2022.

These are not temporary spikes awaiting mean reversion. The Central Bank of Ireland has highlighted the resulting underinsurance gap in home cover, noting that approximately 15–20% of claims are reduced due to “average clause” provisions, with many affected policyholders short by 20–30% — often €20,000 to €50,000 per claim. This protection gap undermines the fundamental insurance promise: that customers will be made whole when loss occurs.

For motor insurance, the challenge is compounded by an ageing fleet (the average vehicle age is now approximately 9.3 to 9.6 years, up from 8.4 in 2016) and the increasing electrification of new car sales (electric vehicles or EVs represented roughly 19% of 2023 registrations). EVs introduce distinct risk profiles — battery replacement costs, advanced driver assistance system (ADAS) calibration requirements, and a nascent repair ecosystem that lacks the scale and standardisation of traditional mechanical repair.

The strategic implication is that insurers can no longer rely on historical loss development patterns to price forward risk. Dynamic pricing models that incorporate real-time materials costs, supply chain constraints, and vehicle-specific repair complexity are essential. Equally critical is proactive communication with policyholders about sum insured adequacy, supported by automated indexation tied to SCSI or similar benchmarks.

The competitive structure of Ireland’s general insurance market has shifted more in the past five years than in the preceding two decades. International insurers with sophisticated pricing analytics, digital-native platforms, and experience in more contested markets have entered or expanded. Recent consolidation has created a distinct two-tier structure, with approximately four major insurers controlling 50–60% of the market, leaving mid-tier players facing stark choices: invest aggressively to compete on technology and distribution, or accept gradual loss of market share.

Concurrently, managing general agents (MGAs) — intermediaries that underwrite and administer policies on behalf of capital providers — are attracting significant investment from London and international reinsurance markets. These entities operate with greater agility than traditional carriers, leveraging modern technology stacks and specialised underwriting expertise to capture niche segments quickly.

Perhaps most intriguing is the entry of digital-native financial platforms into insurance distribution. One such platform has captured over three million Irish customers — more than 50% of the adult population — through banking services. While its insurance distribution remains small, the strategic implication is profound: a customer base of that scale, combined with zero legacy technology debt and deep digital engagement data, represents a distribution channel that could rapidly shift competitive dynamics if aggressively deployed.

According to PwC’s 29th Global CEO Survey, 45% of insurance firms globally have begun competing in new sectors over the past five years, slightly higher than the cross-industry average of 42%. Irish insurers are not immune to this trend. The question facing boards is: are we building the capabilities — data science, digital product development, ecosystem partnerships — that will allow us to compete not just with traditional peers, but with technology-enabled entrants operating under fundamentally different economic models.

Private equity capital has driven rapid consolidation in Ireland’s insurance broker market over the past eight years. What was historically a fragmented landscape of regional and independent brokers is now dominated by four to five major consolidators controlling substantial volumes of both personal and commercial lines of business.

This consolidation has shifted bargaining power. Large brokers control significant “scheme business” — affinity programmes for professional groups, fleet policies, and other high-volume segments — which they can move between insurers to command higher commissions and more favourable terms. For insurers, the challenge is twofold: reduced distribution leverage and increased commission expense.

Market intelligence suggests strategic divergence is emerging among broker consolidators. Some are expected to exit broad-based personal line distribution, retaining only “connected” business where customers hold both personal and commercial policies. This reflects the high cost and complexity of integrating multiple acquired systems and limited synergies in servicing fragmented personal line accounts.

For insurers, this creates opportunity as well as risk. The direct channel gains strategic importance, but capturing this opportunity requires investment in brand, digital capability, and customer experience — areas where many Irish insurers have historically underinvested relative to international peers. The insurers that move decisively to build direct distribution, supported by data-driven pricing and seamless digital journeys, can capture share as broker coverage potentially contracts.

Irish insurance customers benchmark their experience not against other insurers, but against the best digital experiences they encounter in any sector. In retail, for example, one-click purchasing, transparent pricing, and proactive communication have reset the bar for friction, personalisation, and trust.

While the process of obtaining a motor or home insurance quote has become more streamlined in many cases, customers are still often asked to provide detailed information, and claims journeys can at times feel slower than the seamless digital experiences they encounter elsewhere.

Emerging technologies offer transformative potential. Large language models and advanced AI could enable customers to describe insurance needs in natural language via voice, chat, or document analysis, with systems extracting relevant risk data and presenting tailored options. While such capabilities remain nascent in insurance, they point toward a future where traditional quote forms and even broker conversations may be displaced by AI-mediated interactions.

This raises an existential question: in a world where AI search engines can compare policies, explain coverage differences, and facilitate purchases instantly, what role remains for traditional distribution channels? And how must insurers adapt to remain relevant when customers can bypass both insurer websites and broker offices entirely?

The Central Bank of Ireland’s Consumer Protection Code emphasises fair treatment and transparency, but regulatory compliance alone does not create competitive differentiation. Insurers that combine regulatory adherence with genuinely superior customer experience — enabled by AI, real-time data, and proactive service — will capture disproportionate market share, particularly among digitally native younger cohorts now entering peak insurance-buying years.

Perhaps no challenge is more pervasive, or more difficult to address, than the technology debt accumulated over decades of underinvestment. Many Irish insurers operate core policy administration, claims, and actuarial systems deployed 20 to 30 years ago. These systems process transactions and maintain regulatory compliance, but lack the flexibility required for rapid product innovation, dynamic pricing, or modern digital experiences.

PwC’s CEO Survey found that nearly one-third of insurance CEOs report significant technology constraints in their organisations. Moreover, 59% of insurance CEOs say that accelerating transformation to keep up with technology and AI is a top priority — substantially higher than the 42% global average across all sectors. This gap underscores the urgency Irish insurers feel as they confront both legacy debt and the rapid pace of technological change.

Insurers face three potential options:

  1. Build a digital layer: Maintain legacy core systems while developing modern interfaces and microservices on top. This can deliver quick wins in customer experience but creates complex integration challenges and may simply defer fundamental modernisation.
  2. Core system replacement: Implement modern, cloud-based platforms. This offers the greatest long-term flexibility but requires significant capital, multi-year timelines, and substantial organisational disruption. Return on investment horizons often extend beyond current executive tenures, making board approval challenging.
  3. Incremental modernisation: Replace systems module by module, business line by business line. This spreads risk and investment but may leave organisations running parallel systems for extended periods, increasing operational complexity.

The right choice depends on competitive urgency, capital availability, and organisational capacity for change. It’s clear that technology alone is insufficient. True agility requires organisational transformation as well. Traditional insurers organise by function — underwriting, claims, finance, actuarial — with each optimising independently. Modern organisations increasingly organise around products or customer segments, with cross-functional teams empowered to make changes without extensive coordination.

This shift demands cultural change, new skills (data science, agile delivery, product management), and different performance metrics. It also challenges accountability structures embedded in regulatory requirements around actuarial sign-offs and financial reporting. The insurers that successfully balance legacy management with modern technology adoption and agile ways of working will gain decisive advantages in speed, efficiency, and experience quality.

A longer-term but strategically critical trend is the convergence of insurance with adjacent sectors to create integrated value propositions. For example, PwC’s CEO Survey found that 24% of insurance firms plan to grow by partnering with health services over the next three years, and 22% by teaming with technology partners. This underscores how insurance boundaries are stretching beyond traditional market definitions.

International examples illustrate the potential. Life and health insurers in the United States and Asia partner with wearable device manufacturers to collect real-time health data — activity levels, heart rate, sleep patterns. This enables dynamic risk assessment, personalised wellness incentives, and early intervention to prevent claims. By controlling or partnering across multiple value chain layers, insurers differentiate offerings while improving loss ratios.

Similar opportunities exist in general insurance. Telematics devices in vehicles enable usage-based pricing and driver behaviour coaching. Smart home sensors detect water leaks, fire risks, or security breaches, allowing insurers to offer prevention services alongside traditional indemnity. Commercial property insurers partner with Internet of Things (IoT) platforms to monitor building systems and predict maintenance needs before failures occur.

In Ireland, convergence remains nascent. Motor telematics adoption is growing, particularly in commercial fleets where more than half now use tracking or driver behaviour monitoring. Yet the strategic question facing Irish insurers is when, not if, to engage more deeply. Should firms pursue partnerships with health providers, mobility platforms, or property technology companies? Or will international players with established convergence capabilities enter Ireland and redefine customer expectations before local insurers can respond?

The Central Bank’s increasing focus on operational resilience and outsourcing oversight means convergence strategies must be executed within robust governance frameworks. But for insurers willing to navigate this complexity, convergence offers a path from commoditised protection to differentiated, data-driven prevention and service.

The AI imperative: From experimentation to enterprise scale

Cutting across all six structural shifts is the accelerating role of artificial intelligence. PwC’s CEO Survey reveals a striking gap: only 28% of insurance CEOs report increased revenue from AI in the past 12 months (versus 30% globally), and just 26% have experienced reduced costs (matching the global average). This suggests that despite widespread AI experimentation, tangible returns remain elusive for most.

The deployment gap is instructive. Fewer than 25% of insurance firms report extensive AI use in demand generation (22%), support services (20%), or enhancing products and experiences (19%). Yet the urgency to close this gap is acute: 59% of insurance CEOs say transforming fast enough to keep pace with AI is a top priority, far above the 42% global average.

For Irish insurers, the AI opportunity spans the value chain:

  • Underwriting and pricing: Machine learning models that incorporate real-time data — telematics, smart home sensors — to price risk dynamically and identify adverse selection earlier
  • Claims processing: Natural language processing and computer vision to automate first notice of loss, assess damage via photos or video, detect fraud patterns, and expedite settlements.
  • Customer service: Conversational AI that handles routine enquiries, guides customers through coverage options, and escalates complex cases seamlessly to human agents.
  • Distribution: Large language models that enable customers to describe needs in plain language, with AI extracting risk data, comparing options, and facilitating purchase — potentially bypassing traditional quote forms and broker conversations entirely.

Yet, realising these benefits requires more than deploying algorithms. It demands robust AI governance — model risk management, explainability, bias detection, ongoing monitoring — aligned with Central Bank expectations and the EU AI Act’s requirements for high-risk applications like insurance pricing and claims decisions. PwC’s CEO Survey found that 58% of insurance CEOs plan to implement cybersecurity measures within the next three years (versus 47% globally), reflecting the sector’s acute awareness of operational and digital risks.

The insurers that build strong AI foundations — clear governance, integrated data platforms, responsible deployment frameworks, and cultures ready to adopt new technology — will translate AI from experimental to enterprise-scale impact. Those that continue experimenting at the margins will fall further behind competitors leveraging AI for material cost reduction and revenue growth.

The AI imperative: From experimentation to enterprise scale

Cutting across all six structural shifts is the accelerating role of artificial intelligence. PwC’s CEO Survey reveals a striking gap: only 28% of insurance CEOs report increased revenue from AI in the past 12 months (versus 30% globally), and just 26% have experienced reduced costs (matching the global average). This suggests that despite widespread AI experimentation, tangible returns remain elusive for most.

The deployment gap is instructive. Fewer than 25% of insurance firms report extensive AI use in demand generation (22%), support services (20%), or enhancing products and experiences (19%). Yet the urgency to close this gap is acute: 59% of insurance CEOs say transforming fast enough to keep pace with AI is a top priority, far above the 42% global average.

For Irish insurers, the AI opportunity spans the value chain:

  • Underwriting and pricing: Machine learning models that incorporate real-time data — telematics, smart home sensors — to price risk dynamically and identify adverse selection earlier
  • Claims processing: Natural language processing and computer vision to automate first notice of loss, assess damage via photos or video, detect fraud patterns, and expedite settlements.
  • Customer service: Conversational AI that handles routine enquiries, guides customers through coverage options, and escalates complex cases seamlessly to human agents.
  • Distribution: Large language models that enable customers to describe needs in plain language, with AI extracting risk data, comparing options, and facilitating purchase — potentially bypassing traditional quote forms and broker conversations entirely.

Yet, realising these benefits requires more than deploying algorithms. It demands robust AI governance — model risk management, explainability, bias detection, ongoing monitoring — aligned with Central Bank expectations and the EU AI Act’s requirements for high-risk applications like insurance pricing and claims decisions. PwC’s CEO Survey found that 58% of insurance CEOs plan to implement cybersecurity measures within the next three years (versus 47% globally), reflecting the sector’s acute awareness of operational and digital risks.

The insurers that build strong AI foundations — clear governance, integrated data platforms, responsible deployment frameworks, and cultures ready to adopt new technology — will translate AI from experimental to enterprise-scale impact. Those that continue experimenting at the margins will fall further behind competitors leveraging AI for material cost reduction and revenue growth.

Six critical questions for Irish insurance leaders

These structural shifts create a complex, interconnected strategic challenge. No single initiative addresses the full scope of transformation required. Instead, leaders must think systemically about how strategy, operating model, technology, talent, and governance align to navigate this environment.

We propose six questions to frame board and C-suite discussions:

  • Are we over-reliant on broker channels whose strategic focus may be shifting, and do we have a credible direct strategy backed by adequate brand and digital investment?

  • How vulnerable are we to new entrants with advanced analytics, digital-native platforms, or AI-enabled distribution that bypasses traditional channels?

  • Should we pursue ecosystem partnerships (health, mobility, property technology) to create differentiated value propositions, and do we have the governance to manage those partnerships within Central Bank requirements?

  • Are we positioned in market segments with sustainable competitive advantages, or are we exposed to adverse selection and margin compression as more sophisticated competitors cherrypick our book?

  • Have we updated our pricing models to reflect structural inflation in rebuild costs (home), repair severity (motor), and healthcare utilisation (health)?

  • Are we proactively addressing the underinsurance gap with customers, using automated sum insured indexation and clear communication about average clause implications? 

  • Do we have distinct pricing and product strategies for emerging segments — electric vehicles, build-to-rent housing, telematics-enabled fleets — that carry different risk profiles than our historical book?

  • How are we balancing the need to price adequately for risk with competitive pressure from new entrants and broker-driven commoditisation? 

  • Do we have a clear, board-endorsed roadmap for addressing legacy technology debt, with defined milestones, investment commitments, and accountability?

  • Have we made an explicit choice about core systems strategy (digital layer, replacement, or incremental modernisation), and does the board understand the trade-offs in cost, time, and business disruption? 

  • Are we deploying AI enterprise-wide — not just pilots — across underwriting, claims, customer service, and distribution, with measurable impact on revenue and cost?

  • Do we have robust AI governance frameworks that satisfy Central Bank and EU AI Act requirements while enabling innovation, including model risk management, explainability, and bias detection? 

  • Are we investing adequately in digital capabilities — mobile-first journeys, real-time quotes, seamless claims — that meet customer expectations forged through interactions with best-in-class digital brands?

  • Are our propositions evolving in line with the underlying insurance “asset”? As the nature of mobility changes, or the connectedness of the private or commercial residence evolves, is our insurance coverage meeting the needs of our customer? 

  • Do we have the data infrastructure to personalise offers, predict customer needs, and intervene proactively (e.g. alerting homeowners to weather risks, coaching fleet drivers on safety)?

  • How are we preparing for a future where AI search engines mediate insurance discovery and purchase, potentially bypassing both our websites and broker partners? 

  • Are we measuring and acting on customer experience metrics (net promoter score, digital abandonment rates, claims satisfaction) with the same rigour we apply to loss ratios and expense ratios?

  • Are we organised to respond rapidly to competitive threats, regulatory changes, and customer expectation shifts, or do functional silos and approval layers slow decision-making?

  • Have we built cross-functional, product-centric teams empowered to make changes without extensive coordination, while maintaining necessary governance and controls? 

  • Do we have the culture, skills, and performance metrics to operate iteratively, learning from experiments and scaling successes quickly?

  • How are we addressing the expense ratio to remain competitive, particularly if price competition intensifies as new entrants scale and AI-enabled efficiency gains spread across the market? 

  • Do our AI governance, operational resilience, and outsourcing frameworks exceed Central Bank minimum expectations, creating strategic flexibility and trust?

  • Are our pre-approved controlled function (PCF) holders equipped to discharge their accountability under the Senior Executive Accountability Regime, with adequate resources and clear authority? 

  • How are we preparing for EU AI Act requirements, particularly for high-risk applications in pricing, underwriting, and claims? And can we turn compliance into a differentiator rather than just a cost?

  • Are we engaging proactively with regulators to demonstrate our approach to emerging risks (cyber, climate, AI safety), building trust that translates into faster approvals and greater strategic latitude?

“Irish insurers are navigating more than a market cycle. They’re responding to a structural shift that will favour those who focus investment, modernise with purpose, and build the capabilities needed to compete in a more digital, data-driven market.”

Darren O’Neill,Partner and Insurance Leader at PwC Ireland

Moving from insight to action

The structural shifts reshaping Irish general insurance, such as inflation, new competition, broker consolidation, customer expectation, legacy technology, and ecosystem convergence, are not abstract trends to monitor passively. They are live dynamics requiring immediate strategic response.

For boards and C-suite leaders, the path forward demands three commitments:

  1. Elevate strategic dialogue beyond quarterly performance
    PwC’s CEO Survey found that 46% of insurance CEOs are extremely or very confident about the coming 12 months — substantially higher than the 30% global average. This near-term optimism is encouraging but must be balanced with longer-horizon strategic thinking. CEOs globally report spending approximately 47% of their time on activities with horizons under one year, versus just 16% on issues beyond five years.

    For Irish insurers operating in a market undergoing structural change, this allocation may be insufficient. Boards should explicitly assess how executive time and capital are divided between defending current positions and building future capabilities. Are we investing adequately in technology modernisation, ecosystem partnerships, and talent development that will determine competitive position in 2030 and beyond?

  2. Build AI and data foundations, not just pilots
    The gap between AI aspiration and AI impact is stark: 59% of insurance CEOs prioritise keeping pace with AI, yet fewer than 30% report tangible revenue or cost benefits. Closing this gap requires moving beyond experimentation to enterprise deployment — integrating AI into core underwriting, claims, and servicing workflows, supported by robust data infrastructure, governance frameworks, and change management.

    Irish insurers should assess: Do we have a Chief Data Officer or equivalent with board-level accountability? Are our data platforms capable of supporting real-time pricing, personalisation, and predictive analytics? Have we established responsible AI frameworks that enable innovation within Central Bank and EU requirements? Are we measuring AI impact with the same rigour we apply to traditional capital investments? Is our AI lens broader at an end-to-end process level or limited to point use cases?

  3. Compete on trust as well as price
    PwC’s CEO Survey highlights that two-thirds of CEOs globally experienced trust concerns to at least a moderate extent in the past year, on topics including AI safety, data privacy, and transparency. Companies experiencing the fewest trust concerns delivered total shareholder returns approximately nine percentage points higher than those with the most trust concerns over a 12-month period.

    For insurers, trust is foundational. Customers entrust insurers with sensitive personal data, depend on them in moments of vulnerability, and expect financial strength to honour obligations over decades. Insurers that strengthen operational trust (paying claims fairly and quickly), accountability trust (transparent governance and responsible AI), and digital trust (robust cybersecurity and data protection) will differentiate in a market where price alone cannot sustain competitive advantage.

    This requires board-level focus. Is trust a standing agenda item in board discussions, alongside financial performance and risk management? Are we investing in the controls, processes, and talent that build trust — or treating it as a marketing function? Do our executive incentives reward long-term trust-building, or optimise for short-term metrics that might undermine customer and regulatory confidence?

Partnering for reinvention

At PwC Ireland, we work with insurers to navigate these intersecting challenges through an integrated approach that combines regulatory expertise, technology strategy, operating model transformation, and workforce development.

  • Technology and data strategy: We advise on legacy modernisation, AI deployment, cloud migration, and digital experience optimisation, bringing both technical expertise and deep insurance domain knowledge to ensure technology investments deliver measurable business value.

  • Operating model reinvention: We design organisational structures, processes, and governance models that balance agility with control, helping insurers transition from functional silos to cross-functional teams while maintaining necessary accountability and oversight.

  • Ecosystem and growth strategy: We help insurers evaluate and execute convergence opportunities — partnerships with health, mobility, and property technology providers — supported by due diligence, commercial structuring, and integration planning that aligns with strategic objectives and regulatory requirements.

  • Regulatory and risk advisory: Our deep understanding of Central Bank requirements ensures transformation initiatives advance within regulatory boundaries. We help clients build AI governance frameworks, operational resilience programmes, and individual accountability structures that satisfy regulatory expectations while enabling innovation.

  • Global insights, local execution: We leverage trends and lessons from insurance markets across the United States, Europe, and Asia to inform Irish-specific strategies, while recognising the unique characteristics of Ireland’s regulatory environment, competitive dynamics, and customer preferences.

The strategic priority isn’t to pursue every transformation opportunity at once, but to focus investment on the capabilities most likely to create differentiated value, in line with your firm’s appetite, capacity, and budget for change.

Whether you’re rethinking distribution strategy, modernising technology, preparing for AI governance oversight, or fundamentally reinventing your operating model, we’re here to help you turn structural disruption into competitive advantage.

For further discussion on how PwC Ireland can support your organisation’s transformation journey, contact us today.

How can we help?

Our PwC team has deep insurance expertise, from both industry and professional services perspectives. 

Our insurance experience and strong understanding of the key risks facing insurers supports our development of recovery plans. 

Our banking team brings extensive BRRD expertise. PwC has helped banks in Ireland, the UK and across the EU with their recovery and resolution planning needs, including:

  • drafting recovery plans
  • developing playbooks
  • designing and executing simulation exercises.  

Our experts understand regulators’ expectations. They’ve even supported resolution authorities in developing their own readiness programmes. 

This experience underpins our comprehensive methodology in carrying out recovery and resolution simulation exercises. 

 

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Darren O'Neill

Partner, PwC Ireland (Republic of)

Conor Hussey

Director, PwC Ireland (Republic of)

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