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Global Risk Analytics Market "(By Risk Type: Financial Risk, Operational Risk, Strategic Risk; By Deployment Type: On-Premises, Cloud; By Component: Software (GRC Software, Dash Analytics and Risk Reporting, Risk Calculation Engines, Extract, Transform, and Load Tools, Scorecard and visualization Tools), Services; By Vertical: Healthcare, Government and Defense, IT and Telecom, BFSI, Transportation and Logistics, Retail and Consumer Goods, Manufacturing, Energy and Utilities; By Region: North America, Europe, Asia Pacific, Latin America, and Middle East and Africa)”- Industry Analysis, Size, Share, Growth, Trends, And Forecast, 2024-2032

A prominent research firm, Cognizance Market Research added a cutting-edge industry report on the “Global Risk Analytics Market”. The report studies the current and past growth trends and opportunities for the market to gain valuable insights during the forecast period from 2023 to 2032.

Global Risk Analytics Market Analysis:

According to cognizance market research, the Global Risk Analytics Market was valued at US$ 38,152.3 Million in 2023 and is anticipated to reach US$ 94,967.1 Million by the end of 2032 with a CAGR of 7.3% from 2023 to 2032.

risk analytics market

What is the Global Risk Analytics Market?

Risk analytics are used in organizations for analysis of risk and their solutions. Risk analytics techniques make it possible to measure, quantify, and even predict risk with more certainty. Risk analytics is important for those who heavily rely on the opinion of leaders at the business unit level to monitor, access, and report risk.

Helping organizations gain deeper insights into the process to improve efficiency and effectiveness. Leveraging the data generated while managing specific business processes across industries through applied analytics.

Generating fast results through preconfigured, issue-driven, risk-based, industry-specific analytics solutions. Developing and delivering insights on an ongoing basis, embedding them into workflows, specific business units, or organizations.

Identifying hidden risk by leveraging advanced statistical models, machine learning, process mining, and process transformation capabilities and data insights. Leveraging powerful artificial intelligence to deliver preventive/predictive risk alerts based on models built on transaction history. Risk analytics may seem daunting, but the truth is that some organizations are already well prepared to put it into action.

Global Risk Analytics Market Outlook:

Risk analytics techniques are used in organizations for the analysis of risk and to manage adequate data properly. Risk analytics can be used in different industries according to their need and adoption.

Risk Analytics techniques make it possible to measure, quantify, and even predict the risk with more certainty than ever before. It helps establish a baseline for measuring risk across the organization by pulling together many strands of risk into one unified system and offering executives clarity in identifying, viewing, understanding, and managing risk.

Risk analytics helps to guesswork out of managing risk-related issues by using a range of techniques and technologies to extrapolate insights, calculate like scenarios, and predict future events. An organization’s exposure to risk is influenced by increasing volumes of structured data- such as databases and unstructured data such as websites, social media, and blogs that are available to an organization internally and externally.

The industry may witness continued consolidation as a key player explores strategic alliances, mergers, and acquisitions to strengthen their market position, expand their product portfolios, and leverage complementary capabilities. The industry is expected to face ongoing challenges related to regulatory compliance, necessitating continuous adaptation to changing standards and requirements in different regions.

Geographically, North America is the largest market for risk analytics due to increased urbanization and industrialization the adoption of risk analytics techniques has increased. Requirement of risk analytics in the IT, healthcare, and telecom industries to analyze risk and manage the data the risk analytics market in the North American region growing rapidly.

Risk analytics enables decision-makers to evaluate the risks and rewards associated with strategic and operational decisions. Providing insights into the proposed actions to address and avoid risks can yield real and sustainable value.

Segment Analysis:

risk analytics market by risk type

risk analytics market by component

Risk analytics have segments according to their deployment on-premises and Cloud. On-premises risk analytics are required for organizational infrastructures such as software and IT and in the cloud it can be used for clouds such as Google Cloud, AWS, Azure, etc. Risk analytics have their types such as financial risk, strategic risk, and operational risk. Operation risk is the risk analytics required for the IT solutions and their maintenance. Strategic risk such as data and other options. Financial risk is analyzed and provides real-time data.

risk analytics market by development node

Risk analytics is also segmented according to the component software which is designed according to the organizational needs. IT expertise is required for the maintenance, and deployment of that software. Risk analytics are used in different industries such as healthcare, IT and Telcom, government and defense, manufacturing, energy, and utilities. Risk analytics are required in industries according to their need and for cybersecurity.

risk analytics market by component software

Geographical Analysis:

North America holds a prominent position in the Global Risk Analytics Market, driven by factors such as rapid urbanization, Industrialization, changing lifestyles, and a growing demand for advanced technologies software. Countries like China and India contribute significantly to market growth, with the new innovational technologies in the companies.

Asia-Pacific is a rapidly growing market for risk analytics due to the increasing focus on different sectors and the importance of risk analytics in the banking and financial sectors’ adoption of risk analytics technologies. Europe is a growing region for digitization increases the adoption of risk analytics techniques.

In the Latin America region, the growing IT infrastructure and required solutions are required for cybersecurity purposes. In the Middle East and Africa, the growing economies and regulatory requirements increase the adoption of the risk analytics market. The growth is more due to the need for risk assessment.

risk analytics market by region

The report offers the revenue of the Global Risk Analytics Market for the period 2020-2032, considering 2020 to 2022 as a historical year, 2023 as the base year, and 2024 to 2032 as the forecast year. The report also provides the compound annual growth rate (CAGR) for the Global Risk Analytics Market for the forecast period. The Global Risk Analytics Market report provides insights and in-depth analysis into developments impacting enterprises and businesses on a regional and global level. The report covers the Global Risk Analytics Market performance in terms of revenue contribution from several segments and comprises a detailed analysis of key drivers, trends, restraints, and opportunities prompting revenue growth of the Global Risk Analytics Market.

The report has been prepared after wide-ranging secondary and primary research. Secondary research included internet sources, numerical data from government organizations, trade associations, and websites. Analysts have also amalgamated bottom-up and top-down approaches to study numerous phenomena in the Global Risk Analytics Market. Secondary research involved a detailed analysis of significant players’ product portfolios. Literature reviews, press releases, annual reports, white papers, and relevant documents have been also studied to understand the Global Risk Analytics Market. Primary research involved a great extent of research efforts, wherein experts carried out interviews telephonic as well as questioner-based with industry experts and opinion-makers.

The report includes an executive summary, along with a growth pattern of different segments included in the scope of the study. The Y-o-Y analysis with elaborate market insights has been provided in the report to comprehend the Y-o-Y trends in the Global Risk Analytics Market. Additionally, the report focuses on altering competitive dynamics in the global market. These indices serve as valued tools for present market players as well as for companies interested in participating in the Global Risk Analytics Market. The subsequent section of the Global Risk Analytics Market report highlights the USPs, which include key industry events (product launch, research partnership, acquisition, etc.), technology advancements, pipeline analysis, prevalence data, and regulatory scenarios.

Global Risk Analytics Market Competitive Landscape:

There are several small and major firms participating in the highly fragmented Global Risk Analytics Market. The new strategies formed by companies revolve around accuracy and precision. The following are some of the major market participants:

  • IBM Corporation
  • SAS Institute’s Inc
  • Oracle Corporation
  • SAP SE
  • FIS Global
  • Moody’s Analytics
  • Verisk Analytics
  • Quantifi, Axioma, Inc.
  • Risk Lens
  • FICO
  • Palantir Technologies
  • Mphasis
  • Quantifi Risk
  • Terada Corporation
  • Fiserv, Inc.

The report explores the competitive scenario of the Global Risk Analytics Market. Major players working in the Global Risk Analytics Market have been named and profiled for unique commercial attributes. Company overview (company description, product portfolio, geographic presence, employee strength, Key management, etc.), financials, SWOT analysis, recent developments, and key strategies are some of the features of companies profiled in the Global Risk Analytics Market report.


Global Risk Analytics Market, By Risk Type:

  • Financial Risk
  • Operational Risk
  • Strategic Risk

Global Risk Analytics Market, By Deployment Mode:

  • On-Premises
  • Cloud

Global Risk Analytics Market, By Component:

  • Software
    • GRC Software
    • Dashboard Analytics and Risk Reporting Tool
    • Risk Calculation Engines
    • Extract, Transform, and Load Tools
    • Scorecard and visualization Tools
  • Services

Global Risk Analytics Market, By Component Software:

  • Healthcare
  • Government and Defense
  • IT and Défense
  • BFSI
  • Transportation and Logistics
  • Retail and Consumer Goods
  • Manufacturing
  • Energy & Utilities

Global Risk Analytics Market, by Region:

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • U.K.
    • France
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia & New Zealand
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of the Middle East & Africa
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Table of Content

Research Methodology: Aspects

Market research is a crucial tool for organizations aiming to navigate the dynamic landscape of customer preferences, business trends, and competitive landscapes. At Cognizance Market Research, acknowledging the importance of robust research methodologies is vital to delivering actionable insights to our clientele. The significance of such methodologies lies in their capability to offer clarity in complexity, guiding strategic management with realistic evidence rather than speculation. Our clientele seek insights that excel superficial observations, reaching deep into the details of consumer behaviours, market dynamics, and evolving opportunities. These insights serve as the basis upon which businesses craft tailored approaches, optimize product offerings, and gain a competitive edge in an ever-growing marketplace.

The frequency of information updates is a cornerstone of our commitment to providing timely, relevant, and accurate insights. Cognizance Market Research adheres to a rigorous schedule of data collection, analysis, and distribution to ensure that our reports reflect the most current market realities. This proactive approach enables our clients to stay ahead of the curve, capitalize on emerging trends, and mitigate risks associated with outdated information.

Our research process is characterized by meticulous attention to detail and methodological rigor. It begins with a comprehensive understanding of client objectives, industry dynamics, and research scope. Leveraging a combination of primary and secondary research methodologies, we gather data from diverse sources including surveys, interviews, industry reports, and proprietary databases. Rigorous data analysis techniques are then employed to derive meaningful insights, identify patterns, and uncover actionable recommendations. Throughout the process, we remain vigilant in upholding the highest standards of data integrity, ensuring that our findings are robust, reliable, and actionable.

Key phases involved in in our research process are mentioned below:


Understanding Clients’ Objectives:

Extensive Discussions and Consultations:

  • We initiate in-depth discussions and consultations with our clients to gain a comprehensive understanding of their objectives. This involves actively listening to their needs, concerns, and aspirations regarding the research project.
  • Through these interactions, we aim to uncover the underlying motivations driving their research requirements and the specific outcomes they hope to achieve.

Industry and Market Segment Analysis:

  • We invest time and effort in comprehensively understanding our clients’ industry and market segment. This involves conducting thorough research into market trends, competitive dynamics, regulatory frameworks, and emerging opportunities or threats.
  • By acquiring a deep understanding of the broader industry landscape, we can provide context-rich insights that resonate with our clients’ strategic objectives.

Target Audience Understanding:

  • We analyze our clients’ target audience demographics, behaviors, preferences, and needs to align our research efforts with their consumer-centric objectives. This entails segmenting the audience based on various criteria such as age, gender, income level, geographic location, and psychographic factors.
  • By understanding the nuances of the target audience, we can tailor our research methodologies to gather relevant data that illuminates consumer perceptions, attitudes, and purchase intent.


Identifying Challenges and Opportunities:

  • We proactively identify the challenges and opportunities facing our clients within their respective industries. This involves conducting SWOT (Strengths, Weaknesses, Opportunities, Threats) analyses and competitive benchmarking exercises.
  • By identifying potential obstacles and growth drivers, we can provide strategic recommendations that help our clients navigate complexities and capitalize on emerging opportunities effectively.

Grasping Specific Goals:

  • We delve into the intricacies of our clients’ objectives to gain clarity on the specific goals they aim to accomplish through the research. This entails understanding their desired outcomes, such as market expansion, product development, or competitive analysis.
  • By gaining a nuanced understanding of our clients’ goals, we can tailor our research approach to address their unique challenges and opportunities effectively.

Data Collection:


Primary Research Process:

  • Surveys: We design and administer surveys tailored to capture specific information relevant to our clients’ objectives. This may involve employing various survey methodologies, such as online, telephone, or face-to-face interviews, to reach target audiences effectively.
  • Interviews: We conduct structured or semi-structured interviews with key stakeholders, industry experts, or target consumers to gather in-depth insights and perspectives on relevant topics. These interviews allow us to probe deeper into specific issues and uncover valuable qualitative data.
  • Focus Groups: We organize focus group discussions with carefully selected participants to facilitate interactive discussions and gather collective opinions, attitudes, and preferences. This qualitative research method provides rich contextual insights into consumer behaviors and perceptions.
  • Observations: We conduct observational research by directly observing consumer behaviors, interactions, and experiences in real-world settings. This method enables us to gather objective data on consumer actions and reactions without relying on self-reported information.

Secondary Research Process:

  • Literature Review: We conduct comprehensive literature reviews to identify existing studies, academic articles, and industry reports relevant to the research topic. This helps us gain insights into previous research findings, theoretical frameworks, and best practices.
  • Industry Reports: We analyze industry reports published by reputable trade associations (whitepapers, research studies, etc.), and government agencies (U.S. Census Bureau, Bureau of Labor Statistics, and Securities and Exchange Commission etc.) to obtain macro-level insights into market trends, competitive landscapes, and industry dynamics.
  • Government Publications: We review government publications, such as economic reports, regulatory documents, and statistical databases, to gather relevant data on demographics, market size, consumer spending patterns, and regulatory frameworks.
  • Online Databases: We leverage online databases, such as industry portals, and academic repositories (PubMed Central (PMC), ScienceDirect, SSRN (Social Science Research Network), Directory of Open Access Journals (DOAJ), NCBI, etc.), to access a wide range of secondary data sources, including market statistics, financial data, and industry analyses.





Data Analysis:

The data analysis phase serves as a critical juncture where raw data is transformed into actionable insights that inform strategic decision-making. Through the utilization of analytical methods such as statistical analysis and qualitative techniques like thematic coding, we uncover patterns, correlations, and trends within the data. By ensuring the integrity and validity of our findings, we strive to provide clients with accurate and reliable insights that accurately reflect the realities of the market landscape.



Transformation of Raw Data:

  • Upon collecting the necessary data, we transition into the data analysis phase, where raw data is processed and transformed into actionable insights. This involves organizing, cleaning, and structuring the data to prepare it for analysis.

Utilization of Analytical Methods:

  • Depending on the research objectives, we employ a diverse range of analytical methods to extract meaningful insights from the data. These methods include statistical analysis, trend analysis, regression analysis, and qualitative coding.

Statistical Analysis:

  • Statistical tools are instrumental in uncovering patterns, correlations, and trends within the data. By applying statistical techniques such as descriptive statistics, hypothesis testing, and multivariate analysis, we can discern relationships and derive valuable insights.

Qualitative Analysis Techniques:

  • In addition to quantitative analysis, we leverage qualitative analysis techniques to gain deeper insights from qualitative data sources such as interviews or open-ended survey responses. One such technique is thematic coding, which involves systematically categorizing and interpreting themes or patterns within qualitative data.

Integrity and Validity Maintenance:

  • Throughout the analysis process, we maintain a steadfast commitment to upholding the integrity and validity of our findings. This entails rigorous adherence to established methodologies, transparency in data handling, and thorough validation of analytical outcomes.

Data Validation:

The final phase of our research methodology is data validation, which is essential for ensuring the reliability and credibility of our findings. Validation involves scrutinizing the collected data to identify any inconsistencies, errors, or biases that may have crept in during the research process. We employ various validation techniques, including cross-referencing data from multiple sources, conducting validity checks on survey instruments, and seeking feedback from independent experts or peer reviewers. Additionally, we leverage internal quality assurance protocols to verify the accuracy and integrity of our analysis. By subjecting our findings to rigorous validation procedures, we instill confidence in our clients that the insights they receive are robust, reliable, and trustworthy.


Importance of Data Validation:

  • Data validation is the final phase of the research methodology, crucial for ensuring the reliability and credibility of the findings. It involves a systematic process of reviewing and verifying the collected data to detect any inconsistencies, errors, or biases.

Scrutiny of Collected Data:

  • The validation process begins with a thorough scrutiny of the collected data to identify any discrepancies or anomalies. This entails comparing data points, checking for outliers, and verifying the accuracy of data entries against the original sources.

Validation Techniques:

  • Various validation techniques are employed to ensure the accuracy and integrity of the data. These include cross-referencing data from multiple sources to corroborate findings, conducting validity checks on survey instruments to assess the reliability of responses, and seeking feedback from independent experts or peer reviewers to validate the interpretation of results.

Internal Quality Assurance Protocols:

  • In addition to external validation measures, internal quality assurance protocols are implemented to further validate the accuracy of the analysis. This may involve conducting internal audits, peer reviews, or data validation checks to ensure that the research process adheres to established standards and guidelines.

Report Scope:



Market Size

US$ 94,967.1 Million (2032)

Compound Annual Growth Rate (CAGR)


Base Year


Forecast Period


Forecast Units

Value (US$ Million)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Geographies Covered

North America, Europe, Asia Pacific, Latin America, Middle East & Africa

Countries Covered

U.S., Canada, Germany, U.K., France, Spain, Italy, Rest of Europe, Japan, China, India, Australia & New Zealand, South Korea, Rest of Asia Pacific, Brazil, Mexico, Rest of Latin America, GCC, South Africa, Rest of Middle East & Africa

Key Companies Profiled

IBM Corporation, SAS Institute’s Inc., Oracle Corporation, SAP SE, FIS Global, Moody’s Analytics, Verisk Analytics, Quantifi, Axioma, Inc., Risk Lens, FICO, Palantir Technologies, Mphasis, Quantifi Risk, Terada Corporation, Fiserv, Inc.

Key Questions Answered in Risk Analytics Market Report

It was Valued at US$ 38,152.3 million in 2023.

It is projected to reach more than US$ 94,967.1 Million by 2032.

It is anticipated to be 7.3% from 2024 to 2032.

Trend: Increasing turns towards advanced technologies such as artificial intelligence, and machine learning.

Driver: increasing demands towards risk analytics and advanced technologies.

Opportunities: digital transformation and risk awareness in the different organizations.

Challenges: cybersecurity challenges, regulatory challenges, and skilled professionals are some challenges.

IBM Corporation, SAS Institute’s Inc., Oracle Corporation, SAP SE, FIS Global, Moody’s Analytics, Verisk Analytics, Quantifi, Axioma, Inc., Risk Lens, FICO, Palantir Technologies, Mphasis, Quantifi Risk, Terada Corporation, Fiserv, Inc.

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