USD 52.91 billion
Report ID:
SQMIG45E2129 |
Region:
Global |
Published Date: April, 2025
Pages:
197
|Tables:
60
|Figures:
77
Risk Analytics Market size was valued at USD 52.91 billion in 2023 and is poised to grow from USD 64.5 billion in 2024 to USD 314.46 billion by 2032, growing at a CAGR of 21.9% during the forecast period (2025-2032).
The risk analytics market is progressing at a remarkable rate due to factors like explosion of data and advanced technologies. The growing amount of data from different sectors like social media and IoT devices is significantly demanding mature analytics technologies to interpret and manage this data effectively. Moreover, the incorporation of modernized or improved technologies like machine learning, artificial intelligence, and big data is enhancing the efficiency and accuracy of risk examination and mitigation. Nonetheless, the market is negatively impacted by high implementation costs and integration complexity. Implementing improved risk analytics requires high upfront costs in software, technology, and infrastructure. Also, integrating these tools with out-of-date legacy systems may be difficult and need several alterations, thus impeding the adoption of risk analytics solutions. Yet, the market is opportune for factors like integration with progressing technologies like IoT and Blockchain.
US Risk Analytics Market is poised to grow at a sustainable CAGR for the next forecast year.
Market snapshot - 2025-2032
Global Market Size
USD 52.91 billion
Largest Segment
Fastest Growth
Growth Rate
21.9% CAGR
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Global Risk Analytics Market is segmented by Component, Risk Type Application, Deployment, Enterprise Size, Industry and region. Based on Component, the market is segmented into Software and Services. Based on Risk Type Application, the market is segmented into Operational Risk, Reputational Risk, Political Risk, Strategic Risks, Governance Risk, Financial Risk, Regulatory Risk, Environmental Risk and Others. Based on Deployment, the market is segmented into On-Premise and Cloud. Based on Enterprise Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Industry, the market is segmented into Banking, Financial Services and Insurance (BFSI), IT and Telecommunications, Healthcare, Retail and Consumer Goods, Energy and Utilities, Manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Based on offering, the risk analytics market is categorized into software and services. The software segment held a considerable market share in the previous years and is projected to lead over the forecast period owing to the advanced analytical capabilities offered. Risk analytics software delivers attractive features like scenario analysis, predictive modeling, and risk assessment technologies. They offer comprehensive and in-depth insights and aid in difficult decision-making practices. Software systems can be customized to cater to unique business requirements, regulatory standards, and industry needs, increasing their demand as the most versatile option, thus the segment growth.
On the other hand, the services segment is projected to grow substantially in the coming years due to customization and expertise offered. Services like implementation, consulting, and support provide tailored solutions for certain needs and challenges of businesses. Risk management services are offered by specialized teams with extensive industry proficiency and expert skills, aiding businesses to address their complicated and changing risk scenarios effectively. These factors are propelling the growth of the services segment in the coming years.
Based on risk type, the risk analytics market is categorized as financial risk and operational risk. The financial risk segment held a significant share of the market and will continue to lead over the forecast period due to regulatory pressure and the greater impact of financial risks. Strict regulations need financial institutions to deploy advanced risk analytics to obey reporting standards and risk management. Also, risk like credit risk, market volatility, and liquid risk may notably affect business profitability and stability, powering major demand for effective solutions. Hence, businesses are increasingly adopting these solutions to avoid these challenges.
Conversely, the operational risk segment is anticipated to grow considerably over the forecast period owing to the complexity of advanced business operations, comprising internal processes and supply chain management. This ultimately increased the demand for strong analytics to effectively handle operational risks. Analytics also help businesses in detecting inefficiencies and possible disturbances, resulting in enhanced operational efficiency and cost savings.
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Geographically, North America dominated the risk analytics market in the past years and is expected to continue dominance in future as well owing to key innovation center and early adopter of improved technologies. The developed nations of North America like the United States and Canada are leading in technological development and innovations with the presence of several startups and well-established players including SAS Institute, Oracle Corporation, IBM Corporation, Forter, Moody's Analytics, SAP SE, and more. These companies are experts in AI, ML, and advanced analytics. In addition, North America is an early adopter of advanced technologies like advanced risk analytics, impacted by the growing emphasis on managing complex risks and optimizing operations, thus, driving the market.
Asia-Pacific is observed to be the fastest-growing region owing to increased digitalization and speedy economic growth. The region is witnessing notable digital transformation in different industries like healthcare, manufacturing, and finance. This inclination increased the significance of advanced risk analytics to efficiently leverage big data and manage digital risks. Also, most nations like India, and China, are experiencing economic progress, which increased the scale and complexity of risks that need to be managed by businesses. Furthermore, growth of smart cities and adoption of IoT is also fueling the market growth in the region.
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Regulatory Compliance to Fuel Market Growth
Growing Volume and Variety is Demanding Risk Analytics Solutions
Initial Investments and Ongoing Costs
Lack of Trained Workforce to Hamper Market
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The global Risk Analytics market is a highly competitive global market driven by a large number of international competitors. Prominent corporations with cutting-edge AI and ML technology are Google, IBM, Microsoft, and NVIDIA. To support a wide range of applications across industries, these industry experts concentrate on creating cutting-edge algorithms, scalable platforms, and reliable infrastructure. Rapid advances in technology, strategic alliances, and large expenditures on research and development define the competitive environment.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the growing use of advanced technologies like ML and AI and the increasing risk of cyber threats are propelling the growth of the risk analytics market. Nonetheless, high implementation costs and issues with data quality are hindering market growth. North America is projected to dominate the market due to a strong financial sector, greater level of data generation, and heavy investments and funding. Moreover, dynamic and real-time risk management and improved data visualization are a few opportunities for risk analytics market growth.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 52.91 billion |
Market size value in 2032 | USD 314.46 billion |
Growth Rate | 21.9% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Risk Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Risk Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Risk Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Risk Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
Risk Analytics Market size was valued at USD 32.91 Billion in 2023 and is poised to grow from USD 40.12 Billion in 2024 to USD 195.61 Billion by 2032, growing at a CAGR of 21.90% during the forecast period (2025-2032).
The global Risk Analytics market is a highly competitive global market driven by a large number of international competitors. Prominent corporations with cutting-edge AI and ML technology are Google, IBM, Microsoft, and NVIDIA. To support a wide range of applications across industries, these industry experts concentrate on creating cutting-edge algorithms, scalable platforms, and reliable infrastructure. Rapid advances in technology, strategic alliances, and large expenditures on research and development define the competitive environment. 'IBM (United States) ', 'Oracle (United States) ', 'FIS (United States) ', 'Moody’s Analytics (United States) ', 'AON (United Kingdom) ', 'ServiceNow (United States) ', 'SAP (Germany) ', 'Marsh McLennan (United States) ', 'SAS Institute (United States) ', 'ProcessUnity (United States) ', 'MetricStream (United States) ', 'Resolver (Canada) ', 'Milliman (United States) ', 'LogicManager (United States) ', 'Provenir (United States) ', 'SAI360 (United States) ', 'Deloitte (United Kingdom) ', 'Diligent (United States) ', 'Alteryx (United States) ', 'Crisil (India) ', 'OneTrust (United States) ', 'Archer (United States) ', 'Zesty.ai (United States) ', 'Fusion Risk Management (United States) ', 'RiskVille (Denmark) ', 'Spin Analytics (United Kingdom) ', 'Kyvos Insights (United States) ', 'Imperva (United States) ', 'Cirium (United Kingdom) ', 'Quantexa (United Kingdom) ', 'ClickUp (United States) ', 'Sprinto (India) ', 'Ventiv (United States) ', 'Adenza (United States) ', 'CENTRL (United States) ', 'SafetyCulture (Australia) ', 'Quantifi (United States) ', 'CubeLogic Limited (United Kingdom) ', 'Onspring (United States) ', 'RiskOptics (United States) '
Regulations like GDPR, Solvency II and Basel III need businesses to keep up and maintain strong risk management practices. With risk analysis, businesses can seamlessly ensure better compliance with complex regulatory needs. Also, periodic and comprehensive risk reporting is delegated by regulatory agencies. These solutions automate and simplify the reporting process, which makes compliance manageable.
Growing Integration of ML and AI: Machine learning and artificial intelligence are currently being deployed to create algorithms that project possible risks depending on emerging patterns and historical information. This comprises forecasting industry trends, detecting operational issues, and detecting credit risk. AI models hold expertise in identifying such variations in data, assisting in detecting irregular patterns that may signal operational failures or fraud activities.
Geographically, North America dominated the risk analytics market in the past years and is expected to continue dominance in future as well owing to key innovation center and early adopter of improved technologies. The developed nations of North America like the United States and Canada are leading in technological development and innovations with the presence of several startups and well-established players including SAS Institute, Oracle Corporation, IBM Corporation, Forter, Moody's Analytics, SAP SE, and more. These companies are experts in AI, ML, and advanced analytics. In addition, North America is an early adopter of advanced technologies like advanced risk analytics, impacted by the growing emphasis on managing complex risks and optimizing operations, thus, driving the market.
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