欧洲、中东及非洲（EMEA）保险业：2026年关键技术趋势
November 2025 Executive summary3 Trend one: AI-driven, predictive risk ecosystems5 Trend two: Parametric and automatedclimate insurance7 Trend three: Embedded and ecosystem-based distribution9 Trend four: Health and wellness integration11 Trend five: Quantum-enhancedcatastrophe modeling13 Authors 15 Executive summary The Europe, Middle East and Africa (EMEA) insurance industry isat the precipice of a profound and irreversible transformation.This is not an incremental change, but a fundamental rewiring ofthe sector’s operating model, driven by a powerful convergenceof forces: the maturation of enterprise-scale AI, a wave ofprescriptive regulation and rising customer expectations forseamless embedded experiences. The era of siloed products and reactive services is over.The future belongs to intelligent, ecosystem-driven institutionsthat are not just compliant, but indispensable. Insurance is evolving from a reactive player to aproactive, preventative partner The model is shifting from simply paying claims to using AI, IoTand climate data to predict and prevent losses before they occur.Distribution is moving from traditional channels to beingseamlessly embedded at the customer’s point of need, whilenew partnerships in health and wellness are expanding theindustry’s role beyond protection. For EMEA’s leaders, the strategic imperative is clear and urgent. Legacy modernization is no longer a choice, but a prerequisitefor survival, as outdated systems are the biggest blockers tocompliance and growth. To stay competitive, insurers must thinkin platforms, embrace AI across the enterprise and treat trustand regulation as strategic advantages. By 2026, success won’t depend on technology alone, but on howwell insurers connect modernization, compliance and intelligenceinto one unified model — becoming true risk intelligencenetworks that link prevention, protection and prediction. For EMEA’s leaders,the strategic imperativeis clear and urgent: Insurance in EMEA: Key tech trends for 2026Trend one AI-driven, predictive risk ecosystems Insurers are entering the age of predictive risk, where dataconnects every aspect of prevention and protection. AI and IoTenable real-time risk modeling that learns continuously from livedata streams, moving beyond usage-based pricing toward moredynamic, adaptive underwriting. Instead of reacting to losses,insurers can now anticipate and mitigate them, from cyberincidents to climate-related events. Manifestation in the market: Regulatory and market momentum: •Significant adoption and investment in AI across the valuechain:The European Insurance and Occupational PensionsAuthority (EIOPA) reports50% of non-life and 24% of lifeinsurers in Europe already use AI in areas like pricing,underwriting, fraud detection and claims. Global Regtech inthe insurance market was valued at $8.5 billion in 2023 andis projected to reach $22.4 billion by 2033, demonstrating asubstantial surge in spending. The Middle East region isexpected to accrue US$ 320 billion in value by 2030 from AIdeployments across sectors including insurance. •Conducive and mandatory regulation:The EU AI Act createsa clear, risk-based framework for deployment, while theDigital Operational Resilience Act (DORA) forces mandatoryinvestment in cyber resilience. EIOPA is actively issuingsector-specific AI guidance, creating a structuredpath for adoption. Strategic implication: The shift to a predictive, AI-driven risk ecosystem is animmediate strategic imperative for EMEA insurers. This path ischallenging, requiring institutions to navigate a complexregulatory landscape (e.g., EU AI Act, DORA, ESG). Insurers mustalso build trust through transparent data governance andethically handle sensitive data. The final hurdle is scaling theseinitiatives from pilots to an enterprise-wide transformation, whichdemands investment in new technology and talent. The key tosuccess lies in transforming these complexities into a durablecompetitive advantage. Parametric and automatedclimate insurance The rising frequency and severity of climate-driven disastersare exposing a critical protection gap across EMEA, with only~25% of natural catastrophe losses within Europe currentlybeing insured. Parametric and automated climate insurance isemerging as a revolutionary solution, bypassing traditional,slow-moving claims processes. These products automaticallytrigger payouts based on pre-defined, independent data, suchas wind speed or satellite-measured flood depths. This modelcuts administrative costs, provides crucial liquidity for rapidrecovery and creates new insurance products for previouslyuninsurable climate risks in agriculture, renewables and property. Manifestation in the market: African Risk Capacity (ARC)has paid over $170M indrought claims to Africannations, covering 50Mpeople Public-privatepartnerships Demonstratesparametric insurance’sefficacy at a sovereignlevel for systemicclimate risks and socialprotection Regulatory and