InsurTech

The Next Generation of Insurtech Founders: Trends to Watch in Europe

Europe's  landscape is experiencing a remarkable transformation. While global funding may have cooled from pandemic highs, a new generation of founders is emerging with bold visions that could reshape the continent's €1.4 trillion insurance market. These entrepreneurs aren't just digitizing old processes, they're reimagining insurance from the ground up.

The Numbers Tell a Story of Resilience

Despite broader market challenges, Europeans are showing impressive resilience. Europe captured $1.1 billion in  investment in 2024, positioning itself as the second-largest market globally after the United States. More telling is the quality over quantity approach: the median early-stage  deal size has reached a record high, increasing from $2.5M in 2023 to $4M in 2024.

This isn't just about bigger checks, it signals investor confidence in European founders' ability to build substantial businesses. The UK leads the charge, but Berlin, Paris, and Amsterdam are emerging as serious contenders, each developing distinct specializations that reflect local market needs and regulatory environments.

AI-First Founders: Beyond the Hype

The most compelling trend among Europe's new  founders is their AI-native approach. Unlike previous generations who retrofitted AI into existing processes, these entrepreneurs are building from first principles.  that raised funding in 2024 are growing headcounts faster than others, by a median of 20% over the last 12 months, with many of these high-growth companies being AI-centric.

Take Berlin-based INSRD, which raised €500k in pre-seed funding in early 2024. Founder Stefan Balg, a serial entrepreneur with over a decade of experience, isn't just digitizing business insurance, he's using AI to predict and prevent risks before they materialize. This proactive approach represents a fundamental shift from reactive claims processing to predictive risk management.

The AI trend extends beyond risk assessment. European founders are leveraging machine learning for personalized pricing, automated underwriting, and real-time policy adjustments. This isn't theoretical, it's happening now, with tangible results in customer acquisition costs and retention rates.

The Embedded Insurance Revolution

Perhaps the most significant opportunity lies in embedded insurance, where coverage becomes seamlessly integrated into other products and services. Berlin's Embea exemplifies this trend, having raised €4 million to build a pan-European embedded life insurance platform. The company's approach reflects a broader understanding that modern consumers expect insurance to be invisible until needed.

This embedded approach is particularly relevant in Europe's fragmented market, where regulatory differences across countries have historically created barriers. Smart founders are turning this challenge into an advantage, building platforms that can adapt to local requirements while maintaining operational efficiency across borders.

The embedded model also addresses a critical pain point: insurance literacy. By integrating coverage into familiar purchase journeys, whether buying a phone, booking travel, or starting a business, these founders are making insurance more accessible and relevant to younger demographics who traditionally under-insure.

Climate-Conscious Innovation

European insurtech founders are uniquely positioned to lead in climate-related insurance innovation. Extreme weather drives insured losses 70% above historical norms, creating both challenges and opportunities for innovative coverage models.

Forward-thinking founders are developing parametric insurance products that pay out automatically when specific weather conditions are met, eliminating lengthy claims processes. Others are creating new coverage categories for climate adaptation technologies, renewable energy installations, and carbon credit portfolios.

This climate focus isn't just about risk management, it's about enabling the green transition. European founders understand that insurance can be a catalyst for sustainable business practices, not just a safety net.

Regulatory Navigation as Competitive Advantage

While many view Europe's regulatory complexity as a barrier, the smartest founders see it as a moat. Those who master compliance across multiple jurisdictions create defensible positions that are difficult for later entrants to replicate.

The regulatory landscape is also evolving in founders' favor. Open banking regulations have paved the way for open insurance initiatives, creating opportunities for data-driven underwriting and seamless policy management. Forward-thinking founders are building compliance-by-design approaches that will position them well as regulations continue to evolve.

The Funding Reality Check

The funding environment requires founders to be more capital-efficient than their predecessors. Investments are down, both in the number of deals inked (-32%) and euros invested (-54%) compared to peak years. However, this constraint is breeding innovation.

Today's European insurtech founders are focusing on faster paths to profitability, often through partnerships with traditional insurers rather than trying to replace them entirely. This collaborative approach is proving more sustainable than the disruption-focused strategies of earlier insurtech waves.

The successful founders are also more sophisticated about timing their fundraising, often achieving significant milestones with smaller initial rounds before pursuing larger growth capital. This approach builds stronger businesses and more attractive investment cases.

Demographic Shifts Drive Innovation

Europe's aging population and changing work patterns create unique opportunities for innovative insurance products. Gig economy workers, remote professionals, and portfolio careers all require flexible insurance solutions that traditional products can't address.

Smart founders are building usage-based models that align cost with actual risk exposure. Whether it's pay-per-mile car insurance for occasional drivers or project-based professional indemnity for freelancers, these products reflect how people actually live and work.

The generational shift is equally important. Digital natives expect insurance to be as intuitive as their banking or shopping apps. Founders who nail the user experience have significant advantages in customer acquisition and retention.

Looking Ahead: The Platform Play

The most ambitious European founders are building platforms rather than products. They understand that the real opportunity lies in becoming the infrastructure layer for insurance across multiple verticals and geographies.

This platform approach leverages Europe's strengths: regulatory expertise, technical talent, and market diversity. By building once and deploying many times across different markets and use cases, these founders can achieve the scale needed to compete globally.

The Next Chapter

Europe's next generation of founders operates in a more mature but still rapidly evolving market. They combine the technical sophistication of their predecessors with a deeper understanding of regulatory realities and customer needs. The most successful won't just build better insurance companies, they'll create entirely new categories of risk management that we can't yet imagine. In a continent where innovation meets regulation, where tradition confronts disruption, these founders are writing the next chapter of European.

The trends are clear: AI-native thinking, embedded experiences, climate consciousness, regulatory savvy, and platform approaches. The founders who master these elements while maintaining capital discipline will define European insurtech's next decade.

For investors, partners, and industry observers, the message is equally clear: the most interesting European stories are still being written.

AI in Insurance: From Claims Automation to Risk Prediction

The insurance industry stands at the precipice of a technological revolution. What once required weeks of manual processing, stacks of paperwork, and armies of adjusters can now be accomplished in hours through artificial intelligence. The transformation isn't just impressive, it's reshaping the entire economic landscape of risk management.

The Numbers Tell the Story

The statistics are staggering. The global artificial intelligence (AI) in insurance market size is projected to hit around USD 141.44 billion by 2034 from USD 8.13 billion in 2024 with a CAGR of 33.06%. This exponential growth reflects more than just technological adoption, it represents a fundamental shift in how insurers operate, compete, and serve customers.

By 2024, 80% of insurance executives believe that AI-driven automation will be a key factor in improving efficiency and customer engagement. This isn't wishful thinking; it's a strategic necessity in an increasingly competitive marketplace where customer expectations for speed and service continue to rise.

 Claims Processing: The Speed Revolution

Perhaps nowhere is AI's impact more dramatic than in claims processing. Traditional claims handling, with its lengthy investigations and manual reviews, is being transformed into streamlined, automated workflows. AI automates the traditionally slow claims processing, reducing the time from weeks to just a few days or even hours.

Consider the practical implications: a fender-bender that once required multiple phone calls, adjuster visits, and weeks of processing can now be handled through a smartphone app that uses computer vision to assess damage, cross-references repair costs, and approve payment, all within minutes of the incident.

Claims processing in 2030 remains a primary function of carriers, but more than half of claims activities have been replaced by automation. McKinsey's research suggests we're already well on our way to this future, with advanced algorithms handling initial claims routing and IoT sensors providing real-time data capture through technologies like drones.

The customer experience transformation is equally significant. AI-powered chatbots and virtual assistants are used to provide 24/7 support to customers, helping them file claims and answer queries. This means policyholders no longer need to wait for business hours or navigate complex phone trees; assistance is available instantly, whenever disaster strikes.

 The Fraud Detection Arms Race

Insurance fraud represents a massive financial drain on the industry, with insurance fraud costs $6 billion annually, and insurers lose at least 10% of their premium collection to insurance fraud. But AI is leveling the playing field in unprecedented ways.

  • The potential savings are enormous. Deloitte predicts that, by implementing AI-driven technologies across the claims life cycle and integrating real-time analysis from multiple modalities, P&C insurers could reduce fraudulent claims and save between US$80 billion and US$160 billion by 2032.

  • However, the challenge is evolving rapidly. Insurance fraud increased by 19% from synthetic voice attacks in 2024, with sophisticated AI-generated deep fakes and voice cloning creating new categories of fraud that traditional detection methods simply cannot identify.

  • The response from insurers has been equally sophisticated. AI systems now analyze patterns across vast datasets, identifying subtle anomalies that human investigators might miss. These systems can detect everything from staged accidents to inflated medical claims by analyzing behavioral patterns, cross-referencing databases, and identifying inconsistencies in real-time.

 Risk Prediction: The Crystal Ball Effect

  • Beyond processing existing claims, AI is revolutionizing how insurers predict and price risk. Machine learning algorithms analyze millions of data points, from satellite imagery showing property conditions to IoT sensors monitoring driving behavior, to create highly accurate risk profiles.

  • This granular risk assessment enables dynamic pricing models that adjust premiums based on real-time risk factors. A homeowner who installs smart security systems might see immediate premium reductions, while a driver who demonstrates consistently safe behavior through telematics could earn ongoing discounts.

  • The implications extend beyond individual policies. Insurers can now predict natural disaster impacts with greater accuracy, optimize their risk portfolios, and even provide early warning systems to policyholders to prevent losses before they occur.

Investment Priorities and Market Focus

  • AI garnered the largest share of experts, about 36%, who weighed in on what the top tech innovation priority for the coming year was. Big data and analytics were the second highest with 28%, followed closely by cloud and digital infrastructure with 26% of respondents.

  • This investment pattern reveals a clear strategy: insurers are building comprehensive AI ecosystems rather than implementing isolated solutions. The combination of AI, big data analytics, and cloud infrastructure creates a powerful platform for innovation across all aspects of insurance operations.

  • While AI monetization lags, embedded insurance is set to grow by 30%, especially in personal lines. This suggests that while the technology is maturing rapidly, the industry is still learning how to fully capitalize on its potential.

Real-World Applications

The theoretical benefits of AI in insurance are compelling, but the real-world applications demonstrate its transformative power:

  • Auto Insurance: Computer vision analyzes accident photos to assess damage severity and estimate repair costs instantly. Telematics devices monitor driving behavior to adjust premiums dynamically and even predict potential accidents before they occur.

  • Property Insurance: Satellite imagery and weather data help insurers assess property risks and predict natural disaster impacts. Drones inspect hard-to-reach areas for damage assessment, reducing both time and safety risks for human inspectors.

  • Health Insurance: AI analyzes medical records to identify potential fraud, predict health outcomes, and optimize treatment recommendations. Machine learning algorithms can even identify patients at risk for specific conditions, enabling preventive interventions.

  • Life Insurance: Underwriting processes that once took weeks now occur in minutes through AI analysis of medical records, lifestyle data, and risk factors. This dramatically improves the customer experience while maintaining rigorous risk assessment standards.

The Road Ahead

  • The integration of AI in insurance represents more than technological upgrade, it's a fundamental reimagining of how risk is assessed, managed, and transferred. As we move forward, the insurers who successfully leverage AI will enjoy significant competitive advantages through improved efficiency, better risk selection, enhanced customer experiences, and reduced fraud losses.

  • The transformation is accelerating, driven by technological advancement, competitive pressure, and changing customer expectations. For insurance professionals, understanding and adapting to this AI-driven future isn't just an opportunity, it's an imperative for survival in an increasingly digital marketplace.

  • The question isn't whether AI will transform insurance, it's how quickly insurers can adapt to harness its full potential while maintaining the trust and reliability that remain the foundation of the industry.

Final Thought

As we stand at this technological crossroads, the insurance industry faces a defining moment. The companies that embrace AI today aren't just adopting new tools, they're positioning themselves to lead tomorrow's market. The convergence of artificial intelligence with traditional insurance principles creates unprecedented opportunities to serve customers better, operate more efficiently, and build more resilient businesses. In this rapidly evolving landscape, the winners won't be those who resist change, but those who thoughtfully integrate AI while preserving the human elements that make insurance truly valuable: empathy, trust, and the promise of protection when it matters most.

Pourquoi les insurtechs attirent autant les investisseurs ?

L’assurance n’a jamais été un secteur synonyme d’innovation rapide. Pourtant, depuis quelques années, les startups de l’insurtech bouleversent ce paysage traditionnel avec des approches digitales, agiles et centrées sur l’expérience utilisateur. Résultat : elles attirent des milliards d’euros d’investissement à travers le monde, et l’Europe n’est pas en reste.

Mais qu’est-ce qui rend les insurtechs si séduisantes aux yeux des investisseurs ? Voici les raisons clés.

Un marché colossal en attente de disruption

Le secteur de l’assurance représente des milliers de milliards d’euros de primes chaque année, avec une forte concentration d’acteurs historiques. C’est un marché immense, mais souvent lent, opaque et peu centré sur le client. Pourtant, l’insurtech connaît une croissance rapide : en 2023, les investissements mondiaux dans ce secteur ont dépassé les 4 milliards de dollars, malgré un contexte macroéconomique difficile. 

Cette dynamique s’est poursuivie en 2024, avec plus de 1,4 milliard de dollars levés au premier semestre, signe d’un intérêt soutenu des investisseurs pour des acteurs capables de digitaliser et transformer un marché encore largement traditionnel. Comme la fintech avant elle, l’insurtech promet d’ouvrir un secteur longtemps verrouillé à l’innovation, attirant ainsi des capitaux à la recherche de nouvelles opportunités de croissance.

Une transformation digitale enfin lancée

Les consommateurs veulent désormais souscrire, gérer et résilier leurs contrats d’assurance en ligne, en quelques clics. Les insurtechs répondent à cette attente avec des interfaces intuitives, des tarifs transparents, et parfois même une personnalisation en temps réel.

En automatisant les processus, en utilisant l’intelligence artificielle pour l’évaluation des risques ou le traitement des sinistres, ces startups réduisent drastiquement les coûts d’exploitation. Un levier très attractif pour les investisseurs en quête de rentabilité.

Des modèles hybrides et scalables

Les insurtechs n’ont pas toutes le même modèle. Certaines créent leurs propres produits d’assurance en tant que porteurs de risque, d’autres s’associent à des assureurs traditionnels pour distribuer des offres sous marque blanche, ou encore proposent des infrastructures tech en marque grise (B2B).

Ce niveau de flexibilité permet d’adapter le modèle économique à chaque marché local, tout en gardant une ambition d’expansion rapide à l’international. Les investisseurs apprécient ces modèles scalables, capables de croître sans exploser les coûts.

Un alignement avec les nouvelles attentes sociétales

Les jeunes consommateurs veulent des services simples, accessibles, et plus transparents, mais aussi des entreprises qui partagent leurs valeurs. De nombreuses insurtechs proposent des assurances à impact : mobilité douce, assurance santé mentale, couverture pour freelances, micro-assurance pour les populations exclues…

Ces approches rendent l’assurance plus inclusive et plus moderne, ce qui séduit non seulement les clients finaux mais aussi les fonds à impact ou les family offices sensibles aux enjeux sociétaux.

Des exemples de succès qui rassurent le marché

Des startups comme Alan (France), Wefox (Allemagne) ou Zego (Royaume-Uni) ont levé des centaines de millions d’euros ces dernières années. Elles prouvent que le modèle fonctionne, et qu’il est possible de combiner croissance rapide et innovation réglementée.

Ces success stories créent un effet d’entraînement : en voyant d’autres fonds entrer au capital, de nouveaux investisseurs veulent aussi prendre position tôt dans les prochaines pépites du secteur.

Une réglementation de plus en plus ouverte à l’innovation

Les régulateurs européens sont de plus en plus ouverts à l’expérimentation, notamment via des "sandboxes réglementaires" qui permettent aux insurtechs de tester de nouveaux produits en conditions réelles tout en restant encadrées.

Cela réduit le risque juridique pour les investisseurs et accélère la mise sur le marché des nouvelles offres. Un cadre qui rend l’investissement plus sûr et plus prévisible.

Conclusion : une vague structurelle, pas un effet de mode

L’insurtech n’est pas une simple tendance. C’est une réponse stratégique à un besoin profond de transformation dans un secteur clé de l’économie. Elle combine les ingrédients que les investisseurs recherchent : taille de marché, inefficience à corriger, technologies différenciantes, scalabilité, impact social, et exemples concrets de croissance.

Dans les années à venir, les insurtechs les plus solides pourraient bien devenir les nouveaux géants de l’assurance. Et pour les investisseurs, c’est maintenant qu’il faut être à bord.

Major Insurtech Trends: AI, Personalization, Automation

The global insurance sector is undergoing a seismic shift. As customer expectations evolve and digital technologies mature, insurtech companies are leading the charge in transforming how insurance is designed, delivered, and experienced.

At the heart of this revolution are three powerful forces: Artificial Intelligence (AI), hyper-personalization, and automation. These trends are not just buzzwords, they are redefining the insurance landscape in 2025 and beyond.

AI takes over risk assessment and claims processing

Artificial intelligence is becoming a core enabler for smarter, faster, and more scalable insurance operations. Insurtechs are using AI to:

  • Analyze real-time customer data to generate more accurate risk profiles

  • Detect fraudulent claims through pattern recognition and anomaly detection

  • Automate underwriting with machine learning models trained on massive datasets

  • Power chatbots that handle routine claims and customer service with minimal human intervention

By 2025, AI will no longer be a “nice-to-have”, it will be a competitive necessity for both startups and incumbents.

Hyper-personalization is the new standard

The age of one-size-fits-all insurance products is over. Today’s consumers expect coverage tailored to their lifestyle, behavior, and needs - and insurtechs are delivering.

Using data from connected devices, social platforms, wearables, and spending habits, insurtech platforms can:

  • Offer usage-based insurance (e.g., pay-as-you-drive car insurance)

  • Tailor recommendations in real time, such as micro-policies for short-term travel or freelance work

  • Adapt coverage dynamically as a customer’s circumstances evolve

This level of personalization leads to higher customer retention, lower churn, and better alignment between risk and premium.

Automation streamlines the entire insurance lifecycle

Insurtechs are pushing automation across the board, from customer onboarding to claims disbursement. Key developments include:

  • Instant quotes generated by digital platforms using AI-powered rules engines

  • Self-service portals where users can buy, manage, and renew policies online

  • Automated claims payouts, sometimes settled within minutes using smart contracts or pre-validated data

Automation reduces operational costs, eliminates friction, and frees up human agents to focus on high-value interactions.

Embedded insurance gains ground

Closely tied to automation is the rise of embedded insurance; coverage seamlessly offered at the point of need, integrated into platforms like e-commerce checkouts, car rental apps, or fintech services.

This trend is set to reshape distribution models, enabling insurtechs to reach customers who may never have actively sought out a policy.

Data-driven innovation fuels inclusive growth

With AI and automation unlocking new types of data, insurtechs can serve previously “uninsurable” populations, especially in emerging markets. Behavioral data and alternative credit scoring models are helping design inclusive insurance products for gig workers, rural communities, or informal sectors.

This shift represents not only a business opportunity but also a social innovation frontier.

Conclusion: Insurtech is redefining the rules of the game

As we move further into 2025, the most successful insurtechs will be those that blend AI intelligence, customer-centric personalization, and end-to-end automation into a seamless experience.

Traditional insurers that fail to adapt will struggle to stay relevant, while agile, tech-savvy players will set the standard for what modern insurance looks like: proactive, digital-first, and deeply human in impact.

Predictive Insurance Through AI: Myth or Reality?

Methodology: Exploring AI’s Role in Insurance Forecasting

This article draws on industry reports, case studies, and current use cases from insurers applying artificial intelligence to predictive modeling. It examines how AI is reshaping underwriting, claims management, and customer engagement and where the promise may be ahead of the current reality.

In Brief: Where We Stand Today

  • AI is already delivering predictive insights in claims detection, risk scoring, and fraud prevention.

  • Adoption remains uneven, with most impact in large carriers and insurtech startups.

  • Challenges include data privacy concerns, regulatory hurdles, and model transparency.

  • The future of predictive insurance lies in combining AI with human judgment and ethical frameworks.

How AI Is Changing Insurance Predictions

The idea of predictive insurance is no longer science fiction. With vast amounts of customer data, real-time IoT inputs (such as from vehicles or smart homes), and advanced machine learning models, insurers can now:

  • Identify high-risk customers or properties proactively

  • Anticipate claim likelihood based on behavioral and environmental factors

  • Tailor pricing more accurately for individual policyholders

  • Detect fraud before payouts are made

AI models can process data at a scale and speed that human teams simply can’t match, making predictive insurance a growing reality in modern underwriting.

The Challenges That Make It Feel Like a Myth

Despite these advancements, predictive insurance powered by AI isn’t universal yet. Key challenges include:

Data Quality and Access

Insurers need clean, consistent, and ethically sourced data. Many legacy systems were not built for this level of data integration, slowing adoption.

Regulatory Landscape

Predictive pricing and claims forecasting raise complex compliance questions. Regulators demand transparency on how models make decisions, particularly in sensitive areas like health or auto insurance.

Trust and Transparency

Consumers and sometimes underwriters want to understand why a price or decision was made. AI models can feel like a “black box,” making it harder to build trust without proper explainability measures.

Where AI Predictive Models Are Already Delivering

Despite these challenges, AI-driven prediction is already reshaping certain insurance segments: 

  • Auto insurance: Predictive telematics models score driver safety in real time, impacting pricing.

  • Property insurance: Climate and weather models anticipate loss patterns to adjust coverage proactively.

  • Health insurance: Behavioral data informs wellness incentives and early intervention programs.

  • Fraud detection: AI flags anomalies faster than traditional methods, cutting loss ratios.

These are no longer pilot projects; they're live tools helping insurers reduce costs, improve customer experience, and drive smarter decisions.

Final Thought: Myth or Reality? A Bit of Both For Now

Predictive insurance through AI is very real but it’s not evenly applied across the industry. For many carriers, true AI-driven prediction is still aspirational, hampered by legacy infrastructure, governance complexity, and talent gaps.

However, where AI is deployed well, it’s transforming how risk is assessed, priced, and managed. The future will belong to insurers who combine AI’s predictive power with human insight, transparency, and a focus on ethical impact.

Les tendances Insurtech à suivre en 2025

Le secteur de l’assurance vit une transformation profonde portée par la technologie. En 2025, les insurtechs ne se contenteront plus de numériser les processus existants : elles réinventeront l’ensemble de la chaîne de valeur, de la souscription à la gestion des sinistres.

Voici les 6 grandes tendances à surveiller pour comprendre où va l’innovation dans l’assurance.

1. L’intelligence artificielle devient le moteur principal de l’automatisation

L’IA est désormais au cœur des modèles insurtech. En 2025, elle sera utilisée à toutes les étapes : évaluation des risques, détection de fraude, gestion des sinistres, tarification dynamique.

Par exemple, AXA France a développé, avec Microsoft, une plateforme interne baptisée AXA Secure GPT. Basée sur l’IA générative, elle permet d’ajuster les offres aux antécédents médicaux ou au mode de vie : services de prévention personnalisés ou offres santé ciblées.

De leur côté, des startups comme Shift Technology utilisent l’IA pour détecter des fraudes en analysant des millions de transactions.

Les assistants conversationnels intelligents réduisent aussi les délais de traitement, offrent un support 24h/24, et améliorent l’expérience client de bout en bout.

2. L’assurance embarquée s’impose comme nouveau standard

L’assurance ne se vend plus, elle s’intègre. En 2025, le modèle de l’assurance embarquée ("embedded insurance") devient la norme, proposée automatiquement au bon moment — lors de l’achat d’un téléphone, d’un voyage ou d’un service.

Exemples notables :

  • AppleCare propose une couverture dès l’achat d’un appareil Apple.

  • Booking.com intègre des options d’assurance voyage au moment du paiement.

  • Stripe propose aux commerçants d’offrir une assurance à leurs clients via son API.

Cette intégration contextuelle permet d’atteindre des clients qui n’auraient pas souscrit à une assurance classique.

3. Des modèles d’abonnement plus flexibles pour répondre aux nouveaux usages

Avec l’évolution des modes de vie (freelance, mobilité, économie à la demande), les clients attendent plus de flexibilité. En 2025, les insurtechs proposent des formules à la carte ou par abonnement, facilement activables ou désactivables via une app.

La startup française Luko permet par exemple de suspendre son assurance habitation quand on est en déplacement prolongé.

Ces offres s’inspirent des standards de consommation modernes (Netflix, Spotify), et séduisent particulièrement les générations Z et milléniales.

4. Une assurance plus inclusive, portée par la donnée alternative

Les données alternatives issues des objets connectés, réseaux sociaux ou plateformes de mobilité ouvrent de nouvelles perspectives.

La startup Pula, active en Afrique, utilise les données météo et agricoles satellitaires pour assurer les petits agriculteurs, jusque-là exclus des produits classiques.

Autre exemple : Zego, au Royaume-Uni, propose des assurances flexibles pour les livreurs ou chauffeurs VTC, en s’appuyant sur des données d’usage en temps réel (heures de conduite, distance parcourue).

Ces modèles permettent une inclusion assurantielle plus large, notamment dans les économies émergentes.

5. Un écosystème de partenariats plus stratégique

Les insurtechs ne visent plus à remplacer les assureurs traditionnels, mais à collaborer avec eux. En 2025, les partenariats stratégiques deviennent un levier clé : startups agiles + acteurs établis + géants technologiques.

Par exemple :

  • Swiss Re collabore avec des insurtechs pour co-développer des produits.

  • Generali noue des alliances avec des acteurs de la healthtech pour enrichir ses offres santé.

  • Des acteurs cloud comme AWS ou Azure fournissent l’infrastructure sécurisée des nouvelles plateformes insurtech.

Ces synergies favorisent l’innovation tout en garantissant la solidité réglementaire et financière.

6. La blockchain gagne du terrain dans la gestion des sinistres

En matière de transparence et d’automatisation, la blockchain apporte des solutions puissantes.

Des startups comme Etherisc ou Chainlink expérimentent les smart contracts pour des assurances paramétriques : retard de vol, aléa météo, hospitalisation… L’indemnisation est automatique dès qu’un événement validé est détecté.

Bien que cette technologie reste marginale, elle se développe notamment dans les micro-assurances et les marchés émergents, où la rapidité et la confiance sont essentielles.

Conclusion : une assurance plus intégrée, intelligente et centrée sur l’utilisateur

En 2025, les insurtechs redéfinissent les règles du jeu. IA, personnalisation, intégration fluide, inclusion… l’assurance devient proactive, flexible et contextuelle.

Les compagnies traditionnelles devront s’adapter à ces standards ou risquer de perdre en compétitivité. Car plus que la technologie elle-même, c’est l’expérience utilisateur qui devient le nouvel avantage concurrentiel.

How is AI reshaping InsurTech ?

AI unlocks unprecedented underwriting value through non-traditional data processing, while simultaneously enabling substantial margin improvements via automated claims handling and fraud detection. Furthermore, behavioral prediction engines dramatically reduce acquisition costs, just as sector-specific applications improve loss ratios and create new premium pools. Finally, dynamic pricing optimization delivers defensible advantages through improved ratios and conversion rates.

Our methodology involved gathering numerous venture maps from around the world to identify recurring categories and sources of innovation in AI. From this extensive research, we developed the Mandalore AI in InsurTech Venture Map 2025, which captures the current state of the art in AI technology and innovation. Using these insights, we analyzed how innovation is driven across different sectors and crafted this article to highlight the key trends and opportunities shaping the future of AI.

AI unlocks unprecedented underwriting value through non-traditional data processing

The most promising AI investments in underwriting target the opportunity in reducing mispriced risk. Algorithms now process thousands of non-traditional variables that traditional actuarial models miss completely. The emerging gold rush is in proprietary data acquisition strategies that feed these models with unique signals beyond standard industry datasets. We're particularly bullish on computer vision applications that can extract property characteristics remotely, eliminating the need for costly physical inspections while dramatically improving accuracy of risk assessment.

While enabling margin improvements via automated claims handling and fraud detection

Claims processing represents perhaps the largest near-term ROI opportunity in insurtech, with potential margin improvements through AI automation. The value creation formula is straightforward: each percentage point of fraud detection improvement could translate to annual savings industry-wide. We see immediate traction for solutions combining computer vision for damage assessment with natural language processing for claims documentation analysis. The most investable opportunities are emerging at the intersection of these technologies, where end-to-end claims automation platforms can deliver increasing processing rates.

Behavioral prediction engines dramatically reduce acquisition costs

With customer acquisition costs in insurance being high, AI-powered distribution efficiency represents a massive opportunity. The most compelling investment cases are platforms that leverage behavioral prediction engines to identify high-conversion prospects before competitors. The next frontier will be conversational AI that can handle complex insurance consultations with human-like understanding of coverage nuances, effectively democratizing expert-level insurance guidance.

Just as sector-specific applications improve loss ratios and create new premium pools

Sector-specific AI applications are producing the fastest path to market leadership. In auto insurance, companies deploying telematics with behavioral analysis algorithms are decreasing loss ratios below industry averages. Life insurers leveraging continuous underwriting models through wearable data are expanding their addressable market by making coverage accessible to previously uninsurable populations. The cyber insurance sector presents the most asymmetric return profile, where AI that can quantify previously unmodeled risks creates entirely new premium pools..

Finally, dynamic pricing optimization delivers defensible advantages

AI-driven pricing represents the most defensible competitive advantage in insurance. The investment opportunity lies in platforms that balance pricing optimization with regulatory compliance through explainable AI. Dynamic pricing engines that can continuously adjust to market conditions without human intervention are a big opportunity. The next wave of innovation will come from causal inference algorithms that simulate customer responses to price changes, allowing insurers to optimize elasticity at the individual level.

Secondary Markets Amidst Decreased Insurtech Funding

The Rise of Secondary Markets Amidst Decreased Insurtech Funding

The Insurtech sector, once a magnet for venture capital (VC) funding due to its potential to revolutionize the insurance industry, has recently experienced a significant slowdown in new investments. Economic uncertainties and a more cautious investor mindset have contributed to this decline in primary market activity. As a result, secondary markets—where stakeholders can trade existing shares of private Insurtech companies—have become increasingly important. These markets now serve as a critical source of liquidity for investors and employees, especially as securing new funding rounds becomes more challenging.

A Shift in Insurtech Investment Dynamics

The Insurtech industry, known for its innovation in streamlining and digitizing traditional insurance services, has been notably affected by the broader economic downturn. According to Fintech Global, funding for Insurtech companies in the U.S. dropped by 67% year-over-year, reflecting a shift from growth-oriented investments to a focus on profitability. This change in investment strategy has left many Insurtech firms struggling to raise new capital. In this environment, secondary markets have emerged as a vital alternative, providing a means for stakeholders to realize value from their investments when primary market opportunities are scarce.

With companies staying private longer and facing challenges in attracting new capital, secondary transactions offer a crucial lifeline. Early investors and employees can turn to these markets for liquidity, as traditional funding rounds become more difficult to secure. This trend is supported by BCG, which notes that the Insurtech hot streak has cooled, underscoring the necessity of alternative liquidity solutions.

Secondary Markets as a Response to Funding Challenges

The slowdown in Insurtech funding has led to significant discounts in secondary market valuations. According to Insurance Business Magazine, many Insurtech companies are trading at valuations up to 40% lower than their last funding rounds. This reflects the broader challenges these companies face in securing new capital. Despite these discounts, investor interest in secondary Insurtech shares remains strong, driven by the potential for long-term gains once market conditions improve.

Secondary markets provide investors with a more affordable entry point into the Insurtech sector, which continues to be seen as a high-risk, high-reward industry. The attractiveness of these markets is heightened by the correction in primary market valuations from their previous highs. For Insurtech companies, engaging in secondary market transactions not only helps sustain investor interest but also provides much-needed liquidity to employees holding stock options, which might otherwise be difficult to monetize. Insights from Tenity reinforce the role of secondary markets in offering liquidity solutions amidst a challenging funding environment.

Looking Ahead: The Future of Insurtech Secondary Markets

As the Insurtech industry continues to navigate through a period of reduced funding, secondary markets are expected to play an increasingly critical role. The anticipated recovery of the IPO market could provide better pricing benchmarks, potentially stabilizing valuations and making secondary investments more appealing. However, until that recovery materializes, secondary markets will remain a key mechanism for liquidity in the Insurtech sector.

Moreover, as Insurtech companies mature and look for ways to sustain growth without relying solely on new VC rounds, secondary markets will provide a necessary outlet for early investors and employees to capitalize on their holdings. This trend is likely to persist, particularly as Insurtech continues to attract attention for its innovative potential and the ongoing digital transformation of the insurance industry. Insurance Times, highlights that while funding has plummeted, secondary markets are stepping in to offer much-needed support and liquidity.

In conclusion, the decline in Insurtech funding has underscored the growing importance of secondary markets as a vital tool for liquidity and investment. As the Insurtech industry adapts to new financial realities, secondary markets are poised to remain central to its continued growth and evolution.

Sources:

  1. Funding for Insurtech companies in US dropped by 67% YoY as investors pull back - Fintech Global

  2. Insurtech’s Hot Streak Has Ended. What’s Next? - BCG

  3. Global Insurtech funding falls below $1 billion in Q1 2024 - Insurance Business Magazine

  4. Insurtech funding: The state of Insurtech in 2024 - Tenity

  5. US Insurtech investment activity in freefall as funding declined 78% YoY - FinTech Global

  6. Insurtech funding plummets in Q1 2024 - Insurance Times

Faut-il privilégier un rachat, une avance ou un crédit avec une assurance-vie en cas de besoin de trésorerie ?

L'assurance-vie est le placement préféré des Français. Elle combine fonds en euros garantis et supports en unités de compte, permettant d'investir sur tous les marchés (actions, obligations, immobilier, matières premières). C'est une solution idéale pour valoriser son patrimoine à long terme, tout en bénéficiant d'avantages fiscaux significatifs.

Cependant, l'assurance-vie peut également répondre à des besoins ponctuels de trésorerie. En cas de besoin de liquidités, plusieurs solutions s'offrent à vous : le rachat, l'avance, ou encore le crédit adossé à votre contrat d’assurance-vie. Examinons ces trois options et identifions celle qui est la plus adaptée à votre situation.

Les trois options de financement via l'assurance-vie

1. Le rachat de l'assurance-vie : un retrait définitif

Le rachat d’un contrat d’assurance-vie consiste à retirer une partie ou la totalité des fonds investis. Il peut être partiel, ce qui permet de maintenir le contrat actif avec un capital réduit, ou total, entraînant alors la clôture du contrat. Le rachat est souvent envisagé lorsque l’épargnant a besoin d’une somme conséquente de manière ponctuelle ou souhaite utiliser son capital pour un projet spécifique.

Avantages du rachat :

  • Souplesse d’utilisation : Vous pouvez disposer de votre épargne à votre guise, en retirant le montant qui vous convient, sans frais d’intérêts (pour les contrats sans frais de rachat).

  • Fiscalité réduite après 8 ans : Après 8 ans, les gains bénéficient d’un abattement fiscal de 4 600 € pour une personne seule et de 9 200 € pour un couple. De plus, la taxation est réduite à 24,7 % au lieu de la flat tax de 30 %.

Inconvénients du rachat :

  • Impact fiscal avant 8 ans : Si le rachat a lieu avant les 8 ans du contrat, les gains sont soumis à la flat tax de 30 % ou au barème de l'impôt sur le revenu majoré de 17,2 % de prélèvements sociaux, ce qui peut être pénalisant.

  • Perte de capital : Un rachat total entraîne la clôture du contrat, et même un rachat partiel réduit le montant investi, diminuant ainsi le potentiel de gains futurs.

2. L'avance sur assurance-vie : un prêt temporaire auprès de l'assureur

L'avance est un prêt accordé par l'assureur sur la base des fonds déjà investis. Elle permet d’obtenir de la trésorerie sans toucher au capital de l'assurance-vie, tout en continuant à bénéficier de ses avantages fiscaux et de la performance du contrat.

Avantages de l'avance :

  • Neutralité fiscale : Aucune imposition sur les sommes avancées, sauf si l’avance n’est pas remboursée, auquel cas elle est requalifiée en rachat.

  • Conservation de l’épargne : Le capital reste investi, ce qui permet de continuer à profiter des avantages fiscaux et de la performance de l’assurance-vie.

Inconvénients de l'avance :

  • Coût élevé : L'avance est soumise à des intérêts facturés par l’assureur, souvent supérieurs au rendement des fonds en euros. De plus, des frais fixes peuvent s’ajouter, rendant cette option coûteuse.

  • Durée limitée de remboursement : L'avance doit être remboursée dans un délai de 3 ans, renouvelable deux fois, ce qui peut ne pas convenir à tous les souscripteurs.

3. Le crédit adossé à l'assurance-vie : une solution flexible et rapide

Le crédit adossé à l'assurance-vie est une alternative intéressante qui permet d’obtenir des liquidités sans toucher au capital investi. Des plateformes comme Pledger offrent des crédits spécifiquement conçus pour les détenteurs d’assurance-vie, avec des conditions souvent plus avantageuses que celles des avances classiques.

Avantages du crédit adossé à l'assurance-vie :

  • Flexibilité et rapidité : Les conditions de remboursement sont plus souples que celles des avances, et le crédit peut être accordé rapidement.

  • Préservation du capital : Contrairement au rachat, le capital de l’assurance-vie n’est pas diminué, permettant ainsi de maintenir le potentiel de rendement et les avantages fiscaux.

  • Taux d'intérêt compétitifs : Les crédits adossés à l’assurance-vie, comme ceux proposés par Pledger, peuvent offrir des taux d’intérêt compétitifs, inférieurs à ceux des avances d’assurance.

Inconvénients du crédit adossé à l'assurance-vie :

  • Frais additionnels : Certains établissements peuvent appliquer des frais de dossier ou de gestion qui augmentent le coût total du crédit.

  • Conditions d’octroi variables : Bien que l’assurance-vie serve de garantie, l’octroi d’un crédit dépendra de la politique de risque de l’institution prêteuse.

Quelle option choisir pour répondre à vos besoins de trésorerie ?

  • Le rachat convient pour des besoins de liquidité à long terme ou pour des contrats d’assurance-vie récents ou peu performants. Il est idéal si l’épargnant est peu ou pas imposé.

  • L'avance est adaptée pour des besoins urgents et de courte durée, surtout si vous pouvez rembourser dans le délai imparti. Elle est préférable pour les contrats anciens ayant généré des gains importants.

  • Le crédit représente une option flexible et rapide pour ceux qui veulent préserver leur capital tout en obtenant des liquidités. Avec des solutions comme Pledger, il peut être particulièrement attractif en termes de coûts et de conditions.

Conclusion

Le choix entre rachat, avance, ou crédit dépend de votre situation personnelle, de vos besoins financiers et de vos objectifs à long terme. Pour des besoins de trésorerie ponctuels et immédiats, le crédit adossé à l'assurance-vie offre une solution intéressante, permettant de préserver le capital tout en bénéficiant de conditions avantageuses.

Web Summit 2022 wrap-up #4: N26, What’s next for digital banking?

Welcome to our series of articles on the recent Web Summit 2022, a premier event in the tech industry. In this series, we will be highlighting some of the most exciting and interesting presentations, panels, and events that took place at the conference. From keynotes by industry leaders to breakout sessions covering the latest trends and developments in technology, there was no shortage of thought-provoking content at this year's conference. We hope you enjoy reading about the Web Summit 2022 as much as we enjoyed attending it!

N26, What’s next for digital banking?

In this session, Maximilian Taynthal, Co-Founder of N26 and Patricia Kowsmann, Finance reporter at The Wall Stret Jounal talk about what the future holds for digital banking, and how neobanks are closing the gap between them and traditional bank.

Web Summit N26

Over the last few years, the rise of the neobank has shown no sign of slowing down, and we're currently in an era of innovation that is reshaping how consumers interact with their banks. 

About N26

N26 is a German neobank founded in 2013. It offers a 100% digital banking experience designed to be simple, transparent, and secure. Actually, N26 has more than 8 million customers.  

If you want to learn more about the company, here is his website: https://n26.com/en-eu

What kinds of banking services do online banks offer?

With online banking, you can transfer money, exchange crypto, make online payment or pay bills via your bank card, and deposit your money. But unlike traditional banks, they can’t give loans. 

Digital banks are well known to offer lower fees so concretely how can online banks be profitable?

By their clients' deposit, banks like N26 can invest in profitable business. They make sure that it’s risk free, so their clients don’t have to worry about anything. 

In the future, digital banks even plan to remunerate their clients by sharing the benefit from their deposit. 

The pandemic situation, inflation, war, ... Did those situations infect digital banking?

It didn’t. It was even positive, digital banks got more revenue. Easy to use, digital banking’s clients can access their bank account just via their online account or via their mobile banking app. So that is the real difference of digital banking with traditional banking, they prioritize customer experience. 

What are online banking challenges?

They want to expand in more countries, get more customers, be more profitable, developpe their products, but their biggest challenge is to be completely independent of external funding! 

 

Feel free to contact us to discuss a partnership or for more information about this article.

Minh Q. Tran, minh@mandalorepartners.com

Insurance Trends in Asia: A Bright Future For Insurtechs? #VC

Insurance in Asia has extremely high growth potential…

Insurtech and insurance in general has extremely high growth prospects in the region, much more so than in other more mature markets like Europe. 

Over 40% of the middle class population in Southeast Asia is uninsured: the scope of penetration for digitally charged insurance businesses through technology mediums like smartphones is huge. As standards of living rise and health concerns (for example linked to the pandemic) remain a preponderant issue, we expect demand for insurance products to increase. Penetration rates for Asia-Pacific stood at 3.8% for life insurance and 2.1% for non-life insurance in 2018, considerably lower than in the UK and the US that reported rates of over 10%. Insurance company Swiss Re estimates that by 2029, 42% of gross insurance premiums would originate from Asia-Pacific, with China accounting for 20% of this. Asian consumers are increasingly looking at insurance not just as a protection but also as an investment option.

This is likely to lead to significant revenue growth for actors in this industry, as shown above by the projection of the evolution of premiums in the coming years. 

….providing a unique opportunity for the development of insurtechs…

According to McKinsey, insurance companies in Asia are therefore very aggressive in terms of growth prospects, and insurtech can be a key way to rapidly reach under-served consumers.

The key point is that while there is a very large potential for growth, it may not be best served by traditional insurers. As shown above, customers now prefer digital solutions.  This is where insurtechs can play a major role. 

Indeed, VC funding in the sector has reached large levels in recent years. Venture capital has also recognized the potential profits to be made from digitally disrupting insurance. According to a paper by Bain,  in the past five years, venture capital firms have invested about $3.8 billion in Asia-Pacific insurtechs, including online sites that sell directly to the public, online brokers and advisers, and aggregators or digital marketplaces.

According to the report, in fast-growing markets such as mainland China, India and Indonesia, insurtechs can “leapfrog” incumbents and gain market share. Digital marketplaces, which allow customers to easily compare and select policies from competing carriers, may be able to conquer a significant share of the insurance profit pool. In major markets around the world, a majority of retail insurance customers—especially young, digitally active ones—are open to switching to another provider, including companies from outside the industry, such as retailers, automakers or tech firms, according to Bain & Company’s fourth global survey of more than 174,000 customers in 18 countries (“Customer Behavior and Loyalty in Insurance: Global Edition 2018”). Asia-Pacific insurance consumers are very receptive to new ideas and new players. In Thailand, Indonesia, mainland China and Malaysia, for example, more than 85% are open to buying from new entrants, according to Bain’s survey.

…which for now remain concentrated in mainland China, Hong Kong and other East Asian countries. However a key trend for coming years will be the emergence of new markets

Banks in financial hubs of SouthAsia, Singapore, and Hong Kong have already received significant investments in Insurtech: For example, DBS bank from Manulife of 1.2 Billion dollars, Citibank from AIA group 800 Million dollars and Standard Charted from Prudential 1.25 Billion dollars.

Singapore and Hongkong are providing a wide range of development and growth options like incubators, insurance labs and more for startups in the insurtech sector.

Asian Insurtechs startups and CVC

Examples of insurtech startups from around the region

As shown above, a number of high potential ventures have developed around the region. For instance, China is also seeking to build up big online platforms to provide various insurance options personal, medical, auto online. Malaysia has already started reaping the benefits of such platforms by slowly reducing the need for live agents.

Nonetheless, other markets are also seeing the development of insurtechs. For example, insurtech funding in India has increased from only 11 million USD in 2016 to 287 million in 2020, with startups such as Turtlemint which raised 30 million in late 2020. 

Insurtech can help the sector remove obstacles to growth…

According to McKinsey, Asian insurers currently tend to suffer from three main weaknesses: 

Sales force professionalization. The entire US insurance industry, as one example, has a few hundred thousand agents. Agency forces in Asia are significantly larger—China alone has roughly eight million insurance agents. However, the level of professionalization in Asia lags behind the developed world. Part-time and poorly trained agents are the norm in much of Asia. As customers continue to grow more sophisticated, Asian carriers will have to upgrade their agency forces. They can learn much from the West in terms of recruiting, capability building, and ongoing performance- and compliance-management. Western carriers are now helping agents migrate from product sellers to holistic advisors which provides a blueprint for Asia.

Analytics-driven decision making. The West is increasingly applying data and analytics in all elements of the business to improve the quality and consistency of decision making. In some cases, this has progressed to rely extensively on third-party data. In Asia, the use of data and analytics is less mature. Carriers need to invest in their internal data assets (i.e., capturing and storing more useful data), external third-party data integration, advanced analytics capabilities, and “last mile” adoption of analytics solutions. There is tremendous opportunity for carriers in all elements of the value chain, including pricing and underwriting, sales force effectiveness, customer servicing, and claims. Given the distributed nature of insurance operations in Asia and the talent gap, this is an even bigger opportunity.

Operational discipline and efficiency. Asian carriers can learn from the operational discipline of insurers in developed markets. Faced with the prospect of slower growth, Western insurers have long focused on improving efficiency through more optimized operations. Asian executives have underinvested in operational discipline and efficiency. It is not uncommon to find dozens of branches or field offices with widely varying operating practices. This increases costs, delivers suboptimal customer experience, and introduces significant compliance risk. Asian carriers will have to focus more time and investment on these issues in the near future. They can benefit from the new toolbox that has emerged which combines digital, analytics, robotics, and NLP to re-invent customer and back office journeys.

… and artificial intelligence is a key driver of change

The advancement of Artificial Intelligence (A.I) allows for much faster understanding of this data. This empowers intermediaries and underwriters to engage clients knowledgeable with data driven policy advice in real time.

Customers want to connect with insurers from virtually anywhere and at any time. The employment of AI processing will soon permeate almost every facet of the insurance business. For example, the insurer QBE Asia has “started seeing benefits from integrated AI systems that streamline and automate our claims workflow and reduce costs by consolidating the underwriting processes on a centralized platform”. They also deploy Robotic Process Automation to save significant costs on repetitive non-value adding tasks and have started to actively integrate connected devices (Internet of Things, IoT) into their insurance processes.

Finally, public authorities are likely to modify and adapt regulations in reaction to the development of digital insurance and insurtechs

According to Bain, “digital disruption is getting a push from regulators. In Singapore, Hong Kong and, more recently, Indonesia, authorities are actively promoting digital innovation and have established government funded incubators, known locally as sandboxes, to encourage insurers to experiment with new technologies”. Singapore and Hong Kong are emerging as hubs for telematics and insurtechs, and consumer use of digital channels in those markets is growing rapidly. This means new regulations are likely to be put in place, and insurtechs should prepare for this risk.


Mandalore's Insurtech Map

Mandalore Partners est une plateforme de Venture Capital (capital-risque) as a Service pour les investisseurs, qu'ils soient des particuliers (famille, entrepreneurs...) ou des entreprises (PME/ETI/Grandes entreprises) qui optimise leurs investissements financiers et stratégiques.

Particulièrement actif dans l’Insurtech, Mandalore Partners fait son propre mapping Insurtech et a développé une méthodologie dès 2019. En 2021, alors que les acteurs de l’Insurtech ont largement évolué, Mandalore Partners réalise un nouveau mapping de ce secteur en pleine expansion.

Pour toute information complémentaire sur les entreprises figurant dans ce mapping, veuillez nous contacter par mail : CONTACT@MANDALOREPARTNERS.COM

Pour toute information complémentaire sur les entreprises figurant dans ce mapping, veuillez nous contacter par mail : CONTACT@MANDALOREPARTNERS.COM

Pour cela, nous avons procédé en trois étapes :

1) Définition et structure de l’Insurtech

2) Benchmark des cartographies Insurtech existantes

3) Conclusion sur le mapping Insurtech Mandalore Partners

1 - Définition et structure de l’Insurtech

A l'instar des Fintech, on nomme Insurtech (ou Assurtech, en français) les startups du monde de l'assurance. Les Insurtech s'appuient sur les nouvelles technologies pour innover et proposer de nouveaux modèles et produits d'assurance. Le secteur est en plein boom et draine les capitaux comme le montre le rapport « CB-Insights Insurtech report Q1 2021 » avec plus de 7 milliards de dollars d’investissements en 2020 contre moins de 2 milliards de dollars en 2016.

On peut répartir les Insurtechs en quatre grandes catégories :

  1. l’innovation sur les produits d’assurance afin de proposer de nouvelles propositions de valeurs : néo-assureurs (comme Alan ou Luko), assurance collaborative (comme Otherwise ou Inspeer) ou paramétrique (comme Descartes Underwriting), etc.

  2. l’amélioration des process de distribution qui réduit les frictions entre assureurs-assurés : brokers (comme Wefox) et comparateurs (comme LeLynx.fr).

  3. les services aux assureurs et aux courtiers pour obtenir une meilleure gestion interne des compagnies d’assurances : SaaS (comme Qape), process optimization (comme Akur8) Data & Analytics (comme Dacadoo), etc.

  4. les services aux assureurs et aux courtiers pour avoir une meilleure relation avec leurs clients : claim / payment / policy management (comme omni.us), lutte anti-fraude (comme Shift Technology), marketing.

2 - Benchmark des cartographies Insurtech existantes

Une fois le secteur Insurtech défini, Mandalore a réalisé un benchmark de onze cartographies Insurtech existantes.

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On constate alors qu’il existe trois grands types de mapping :

-          Les mapping classiques avec une approche par chaîne de valeur (produit, distribution, services), approche utilisée par KleinBlue, Mandalore Partners, Insurtech Map, Ailancy, Oliver Wyman, Capgemini, PwC. Cette approche est la plus utilisée car elle permet de se représenter aisément les dynamiques du marché et surtout le positionnement de chaque start-up.

-          Les mappings originaux avec une approche qui peut se faire par tendances, leveraged technology, ligne métier (Ailancy), parcours client (Matteo Carbone), ancienneté (OW).

-          Par ailleurs, des mappings hybrides peuvent exister et se révéler tout à fait pertinents : ligne métier (ou technologie) vs. chaîne de valeur (comme Ailancy peut le faire).

3 - Conclusion sur le mapping Insurtech Mandalore Partners

La méthodologie retenue par Mandalore Partners en 2019 est plutôt classique : il s’agit d’une segmentation du marché Insurtech par chaîne de valeur.

Cependant, elle se différencie du mapping classique et très médiatisé KleinBlue parce qu’elle utilise, comme Capgemini (qui ne fait pas de mapping mais juste une segmentation) quatre catégories en divisant la catégorie « services » en « gestion opérationnelle » et « customer management ». Klein Blue, mapping le plus médiatisé en France ne distingue que 3 catégories.

Par ailleurs, elle se concentre sur l’Europe comme Ailancy dont la cartographie est peu médiatisée alors que KleinBlue se focus sur la France. Seul le mapping d’Ailancy a un scope européen mais il n’est pas très médiatisé.

Enfin, Mandalore Partners a tenu à créer des sous-catégories afin de segmenter encore plus précisément le marché.

Pour toute information complémentaire sur les entreprises figurant dans ce mapping, veuillez nous contacter par mail : CONTACT@MANDALOREPARTNERS.COM

Pour toute information complémentaire sur les entreprises figurant dans ce mapping, veuillez nous contacter par mail : CONTACT@MANDALOREPARTNERS.COM

Pour conclure, si dans l’approche Mandalore Partners la segmentation du marché présente une légère particularité (quatre catégories selon la chaîne de valeur), c’est surtout au niveau des sous-catégories et du scope géographique que notre mapping innove.

Alchemy Research: Small and Medium Enterprises’ point of view on insurance solutions

Alchemy is the research lab of Mandalore Partners.

SMEs have always been a crucial part of a country’s economy. They do not only represent an important part for the country’s turnover but are also paramount in terms of employment. 

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Those classical SMEs are today joined by freelancers. 

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However, what is important to notice is that they both lack adequate services, especially regarding insurances to help them tackle their challenges. They feel that existing services do not cater to their needs, that they are too complex and inflexible. 

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It appears that those small companies tend to trust more new players who offer digitalized solutions for a more flexible and on-demand approach. From there, we can assess that historic insurers have not yet adapted their services by taking into account the interconnected value added services crucial for the development of SMEs. 

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This report focuses on the specific needs of SMEs and freelancers and how insurers ought to embrace them and adapt their solutions if they do not want to be left by the wayside.  

For more information, please contact us at research@mandalorepartners.com

Alchemy Research: The future of Dental Care

Alchemy is the research lab of Mandalore Partners.

Dental care is among the top health concerns in the UK. This trend has been on the rise for and calls for innovation and adaptation.

This report focuses on the current situation of dental care especially in a COVID-19 area imposing stricter regulations for dental practices and assesses the potential for growth and innovation of the sector (in terms of services and technology) and that insurers ought to seize.

Below is a snapshot of the research.
For more information, please contact us at research@mandalorepartners.com

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Ninety Consulting: Insurance Innovation Blueprint

Ninety Consulting is a Partner of Alchemy, the research lab of Mandalore Partners. Below is the preview of Ninety’s report, Insurance Innovation Blueprint.

In our Insurance Innovation Blueprint, we examine the “how” of insurance innovation. How can it be more active? How can it be more productive? How can we get innovation more ‘right’?

This report addresses these questions and is designed for both innovators and non- innovators at major insurance businesses, whether they be primary carriers, reinsurers, or large broker groups. It is designed to help you assess how your organization does innovation and what might be an optimal innovation set up for your organization.

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Contents of the report

  • Building Blocks for Insurance Innovation: a toolkit for Chief Innovation Officers

  • Conquering the rollercoaster: the evolution of insurance innovation ecosystems

  • A unique model for every insurance business: a humility-led approach to innovation planning

  • Innovation ecosystem blueprints for insurers: a starting point for innovation capability design

  • Crafting the right innovation philosophy, and getting the people dimension right

  • Taking action: moving towards the Ladder model

For more information please contact us at research@mandalorepartners.com