The global insurance industry faces a significant structural shift, with cybersecurity emerging as the largest source of uninsured risk, projected to exceed $700 billion by 2030. This is a key finding from the latest Insurtech Global Outlook 2026 report by NTT DATA (https://www.nttdata.com/global/en/), a global provider of AI, digital business, and technology services. The report indicates that while risks continue to escalate, insurers are struggling to scale AI solutions despite the technology’s potential for substantial cost savings.

The ‘Insurtech Global Outlook 2026’ highlights that the industry is at a critical juncture where risk growth is outpacing insured capacity and resilience. Uninsured losses from cybersecurity incidents are expected to jump from $171 billion in 2023 to over $700 billion by the end of the decade. Concurrently, climate-related uninsured losses, including those from extreme weather and wildfires, have reached $180 billion, and liability claims have seen a 57% increase.

NTT DATA: AI Adoption Hindered by Trust and Governance

The report points to a paradox in artificial intelligence adoption within the sector. While AI-native and agentic operations could offer insurers up to 35% in cost savings through automation and process optimization, only 22% of companies have successfully integrated AI into production. This bottleneck persists even as 66% of the insurance workforce is already utilizing AI tools. The primary barriers identified are not technological but rather challenges related to trust, governance, and existing operating models not designed for AI.

Financially, the report notes that US insurance initial public offerings (IPOs) have reached a 20-year high, reflecting heightened market activity. Furthermore, debt financing for startups in the sector has reached $9.5 billion, now surpassing equity funding.

Strategies for Enhanced Resilience and Responsible AI

To navigate these complexities, the NTT DATA report outlines four critical areas for insurers to focus on:

Building Operational Resilience: A shift from reactive claims payouts to proactive risk detection, decision-making, and prevention using data, AI, and simulation is essential as risks accelerate.
Scaling Responsible AI: To foster widespread adoption, AI-native operations require integrated explainability, compliance, and human accountability from their inception.
Delivering Empathetic, Prevention-First AI Experiences: Growing demand for hyper-personalized and prevention-focused insurance solutions necessitates advanced AI applications.
Building Value through Ecosystems: Partner ecosystems, supported by open standards and regulation-ready infrastructure, are identified as crucial growth drivers, particularly in the embedded insurance market, which exceeded $116 billion in 2025.

Bruno Abril, Global Head of Insurance at NTT DATA, Inc., commented on the findings, stating, “The insurance industry is facing structural shifts in the face of unprecedented market volatility and uncertainty. There are, however, clear opportunities for insurers to embrace AI-driven solutions to bolster trust and resilience.” He added that the report aims to identify key shifts shaping insurance in 2026 and translate them into actionable imperatives for long-term value creation.

The Insurtech Global Outlook 2026 report is based on an analysis of industry data, market trends, and risk indicators from leading global sources, including insurer disclosures and third-party research, covering the period from 2023 to 2025. For more insights into the latest industry developments, readers can refer to coverage on TechnoSports (https://technosports.co.in/).