Risk Analytics Market

The global risk analytics market is anticipated to grow at a compound annual growth rate (CAGR) of 8.9% over the forecast period, from an estimated USD 35.68 billion in 2026 to USD 54.69 billion by 2031. The risk analytics market has experienced significant growth, driven by increasing data volumes, regulatory compliance demands, and the need for proactive risk management. Organizations across industries are leveraging advanced analytics tools to identify, assess, and mitigate potential risks in real time. The rise in cyber threats, financial fraud, and operational disruptions has further fueled the demand for predictive risk models and AI-driven insights. Cloud-based analytics solutions and the integration of big data and machine learning have made risk analysis more accessible and effective. Additionally, sectors such as banking, insurance, and healthcare are investing heavily in risk analytics to improve decision-making and maintain compliance, driving the market’s robust global expansion.

In August 2026, ICRA Limited launched ICRA Risk & Analytics, an integrated platform combining ICRA Analytics, Fintellix, and D2K Technologies following the completion of strategic acquisitions valued at INR 296.2 crore (approximately USD 31.34 million). The platform brought together risk management, regulatory compliance, supervisory technology, enterprise data management, market data, research, consulting, ESG, and analytics solutions for financial institutions, regulators, and corporates. The launch strengthened ICRA’s technology-led capabilities by integrating advanced technology platforms and domain expertise to support product innovation, regulatory requirements, and data-driven decision-making.

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In June 2026, Munich Re US and the Insurance Information Institute (Triple-I) released the RiskScan 2026 survey, highlighting the growing importance of risk analytics in identifying, assessing, and monitoring interconnected risks across the insurance industry. Based on responses from more than 1,700 participants, the survey identified cyber incidents, economic pressures, artificial intelligence (AI), and natural catastrophes as significant risk areas requiring improved analytical assessment and risk forecasting. The findings emphasized the role of data-driven risk analytics in evaluating potential losses, assessing business interruption and supply chain exposures, identifying AI-related operational and liability risks, and detecting insurance protection gaps in flood and cyber coverage. The survey also underscored the importance of analytical insights in supporting risk mitigation strategies, strengthening underwriting decisions, and improving resilience among insurers and businesses facing an increasingly complex risk environment.

Some of the leading players in the risk analytics market include Marsh McLennan (US), Aon (UK), Deloitte (UK), Lockton (US), and Moody’s Analytics (US). They are key providers because they offer capabilities in credit risk assessment, predictive risk modeling, fraud detection, enterprise risk management, and regulatory compliance. Their platforms and solutions support risk quantification, scenario analysis, stress testing, real-time risk monitoring, and early-warning detection across financial and operational domains. Strong adoption across financial institutions and enterprises, continuous innovation in AI-driven analytics, and integrated risk data and modeling capabilities strengthen its role in supporting data-driven risk assessment and decision-making.

Marsh McLennan

Marsh McLennan is a leading service provider in the risk analytics market, offering specialized solutions through its subsidiaries, particularly Marsh. As a global professional services firm, it delivers risk, strategy, and people-related services with a strong emphasis on analytics. Marsh, its insurance and risk advisory arm, provides advanced analytics services including predictive modeling, cyber risk quantification, and catastrophe risk assessment. Its core competencies include translating complex data into actionable insights to mitigate risk. Strategic acquisitions such as Oliver Wyman have enhanced its consulting and analytical depth. By integrating services vertically across consulting, broking, and analytics, Marsh McLennan supports clients in navigating today’s dynamic and uncertain risk environment.

Aon

Aon is a key player in the risk analytics market, providing data-driven risk assessment, analytics, and advisory services to help organizations quantify exposures, evaluate potential losses, and make informed risk management decisions. Its capabilities include catastrophe modeling, actuarial analysis, cyber risk assessment, property and casualty risk analytics, and risk financing optimization. Through its Risk Analyzer solutions and proprietary analytical tools, Aon helps clients evaluate risk exposures, model potential losses, compare insurance program options, and develop risk mitigation and transfer strategies. The company also uses analytics to support capital allocation, business resilience, and assessments of emerging risks, including climate-related and cyber threats. By combining analytical expertise, industry data, and risk advisory services, Aon helps organizations improve risk visibility, manage financial volatility, and strengthen decision-making across industries.

Market Ranking

The risk analytics market is highly competitive, with five major players — Marsh McLennan, Aon, Deloitte, Lockton, and Moody’s Analytics — collectively accounting for approximately 31–34% of the market. Marsh McLennan provides risk advisory, data analytics, and risk modeling services that help organizations identify, quantify, and mitigate exposures across insurance, healthcare, and financial services. Aon leverages predictive analytics, data modeling, and risk intelligence to support risk assessment, insurance optimization, catastrophe modeling, and retirement-related risk management. Deloitte delivers risk advisory and consulting solutions covering financial risk, regulatory compliance, cybersecurity, operational resilience, and enterprise risk management. Lockton combines insurance brokerage expertise with risk consulting and analytics to help clients evaluate exposures, manage claims, and develop risk mitigation strategies. Moody’s Analytics specializes in financial risk analytics, providing solutions for credit risk assessment, economic forecasting, stress testing, portfolio analysis, and regulatory compliance. The remaining market share is served by specialized risk analytics providers, technology vendors, and regional firms, which support innovation through AI, machine learning, big data analytics, and advanced risk modeling.

Related Reports:

Risk Analytics Market by Offering (GRC Software, ERM Software, Third-Party Risk Management Tools, Consulting Services, Risk Advisory Services), Risk Type (Operational Risks, Financial Risks, Technology Risks), and Vertical - Global Forecast to 2031

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