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Q2 2026

Global maritime, cargo and logistics insurance market trends report

Timely insights on shifting rates, capacity, and emerging risks to help protect your assets and optimise coverage.

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The second quarter of 2026 brought continued softening across marine insurance markets.

While war risk conditions remained a major factor across key trading routes, underlying rates in cargo and hull continued to soften in many regions. Competitive pressure, capital inflows, and a soft market environment are influencing pricing, terms, and capacity. For risk managers, clear market insight is essential to support renewal planning and coverage strategy.

Use this report to help you:

  • Understand how war risk conditions continue to influence marine underwriting and pricing.
  • Track cargo and hull rate movements across regions, including areas with the steepest declines.
  • Assess how commercial terms are evolving, including where broader coverage is becoming available.
  • Navigate the impact of claims inflation, supply chain shocks, and emerging regulatory concerns.

Global maritime, cargo and logistics insurance market trends report – Q2 2026

Download the report and gain the clarity and data you need to make informed renewal and placement decisions.

Download the report

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This publication is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. The information contained herein is based on sources we believe reliable, but we make no representation or warranty as to its accuracy. Marsh shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting, or legal matters are based solely on our experience as insurance brokers and risk consultants and are not to be relied upon as actuarial, accounting, tax, or legal advice, for which you should consult your own professional advisors. Any modelling, analytics, or projections are subject to inherent uncertainty, and any analysis could be materially affected if any underlying assumptions, conditions, information, or factors are inaccurate or incomplete or should change. 

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