This statistic displays the risk management efficiency benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that manufacturing would benefit most from improved risk management due to Big Data implementation. The professional service sector was ranked second with roughly 9.4 billion British pounds.
Diversification across asset classes and geographies was the most commonly used risk management strategy for institutional investors worldwide in 2020. This was the case in each of the region considered, with 84 percent of the respondents from the Asia-Pacific region declaring to rely on this risk management strategy. Tactical or dynamic asset allocation followed, with more than half of the respondents worldwide using this strategy to manage risk within their portfolio in 2020.
Organizations worldwide claim to implement at least one initiative to manage possible risks from the implementation of generative AI (GenAI). Nearly half of the companies listed monitoring regulatory requirements and ensuring compliance, and establishing a governance framework for the use of generative AI tools and applications. Ensuring a human validates all GenAI content came in fifth, with around 36 percent of the respondents.
This dataset contains the nature of work-related injuries and illnesses that have been reported to the Division of Risk Management in the Finance department that is categorized by Public Safety (Police Officers, Fire Fighters, Sheriff, and Correctional Officers) and non-Public Safety departments from 7/1/2023 to 6/20/2024. This information will be produced annually in July and will represent injuries reported in the previous fiscal year. Update Frequency : Annually
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The catalogue provides a means for a user to determine which management measures and management targets are suitable to effectively manage a specific threat to the quality or quantity of source water, allowing the user to take local conditions into consideration.
Global spending on information security and risk management will amount to 210 billion U.S. dollars in 2024. By 2028, information security and risk management spending is forecast to exceed 310 billion U.S. dollars.
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Third-Party Risk Management Market is expected to grow at a CAGR of 17.8% during the forecast period 2024-2031
Risk Management Software Market Size 2024-2028
The risk management software market size is forecast to increase by USD 11.06 billion at a CAGR of 18.69% between 2023 and 2028.
The market is experiencing significant growth due to the increasing number of data and security breaches among enterprises. This trend is driving the demand for advanced risk management solutions that can help organizations mitigate risks and protect their assets. Another key factor fueling market growth is the rising adoption of cloud-based risk management software, along with artificial intelligence and analytics. This delivery model offers several advantages, including lower costs, easier implementation, and greater scalability.
However, the high cost and complexity of installing and configuring risk management software remain challenges for some organizations, particularly smaller businesses. Despite these challenges, the market is expected to continue expanding as more companies recognize the importance of effective risk management in today's complex business environment. Organizations must stay informed of the latest risk management trends and solutions to ensure they are well-positioned to address evolving threats and mitigate potential risks.
What will be the Size of the Risk Management Software Market During the Forecast Period?
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The market is experiencing rapid digitalization, driven by the increasing adoption of cloud-based applications and the proliferation of smartphones and digital devices. This trend is particularly prominent in industries that require the management of financial tasks, administrative tasks, and risks associated with legal liabilities, financial uncertainty, and security risks. The software enables real-time risk assessment, decision-making, and risk mitigation activities, making it an essential tool for businesses seeking to manage and mitigate potential issues.
With the association between data security and risk management growing, the market is witnessing significant investment in advanced data security features. End-users are increasingly deploying cloud-based solutions to streamline processes, reduce administrative burdens, and improve overall efficiency. The market is expected to continue growing, as businesses seek to stay ahead of evolving risks and ensure business continuity.
How is this Risk Management Software Industry segmented and which is the largest segment?
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Component
Software
Services
Deployment
On-premises
Cloud
Geography
North America
Canada
US
Europe
Germany
UK
APAC
Japan
South America
Middle East and Africa
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The market's software segment is experiencing substantial growth due to the increasing importance of risk analysis and mitigation in various industries. Technological advancements, expanding data volumes, and the need for real-time risk assessment are driving this growth. Quantitative risk assessment software, which employs statistical tools and algorithms to quantify risks and develop mitigation strategies, is a popular example. This software is particularly valuable in sectors such as finance, healthcare, and insurance, where it is a key operational focus. The software enables organizations to assess and manage risks associated with financial tasks, administrative tasks, identity theft, security breaches, and natural disasters.
Cloud-based security solutions and integrated banking features further enhance the software's capabilities. Despite the challenges of trade regulations, production analysis, and cyber-attacks, the market's growth prospects remain promising. Organizations across the IT industry, financial institutions, and developing economies are increasingly adopting risk management software to address issues of financial uncertainty, legal liabilities, and security risks.
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The software segment was valued at USD 2.67 billion in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 31% to the growth of the global market during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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Factors such as the presence of many organizations from the banking, financial services and insurance (BFSI), IT se
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Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.
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The project to set-up the survey in this dataset was supported by the Association for Project Management (APM), and the survey has been sent sent to its corporate member organisations. The survey was intended to help to gain a better understanding of the policies and practice around Opportunity Management as a part of Project Risk Management. The survey has been designed and analysed by members of the APM Risk SIG and Delft University of Technology (The Netherlands). Results of the survey have been presented to APM to help the development of APM's documented approach to Project Risk Management in publications such as the APM Body of Knowledge and SIG Guides. In addition, anonymous and aggregated survey results are used for academic publications, providing more insight into the practice of Opportunity Management. The dataset contains:
- Survey questions as they have been entered into Qualtrics (TM) [PDF]
- Coding scheme that has been used to code the answers to the survey questions [PDF]
- Raw answers to the survey questions (fully anonymized) [CSV]
- Data Management Plan (DMP) for the survey as part of the HREC application [PDF]
- HREC approval from TU Delft for the research protocol [PDF]
- readme.txt file with this content
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Global risk management software market size is expected to grow from USD 9.64 Bn in 2023 to USD 34.77 Bn by 2032, at a CAGR of 14.36% from 2024-2032
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Access the summary of the Vendor Risk Management market report, featuring key insights, executive summary, market size, CAGR, growth rate, and future outlook.
Problem Statement
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A global manufacturing company faced frequent supply chain disruptions caused by unforeseen events such as natural disasters, geopolitical issues, and supplier failures. These disruptions led to production delays, increased costs, and diminished customer satisfaction. The company required a proactive solution to identify potential risks, mitigate their impact, and ensure supply chain continuity.
Challenge
Implementing an effective supply chain risk management system presented several challenges:
Analyzing vast and diverse data sets, including supplier performance, logistics data, and external risk factors.
Predicting potential disruptions and their impact on the supply chain.
Providing actionable insights to decision-makers in real time to reduce response times.
Solution Provided
An advanced supply chain risk management system was developed using predictive analytics, machine learning models, and AI-driven risk assessment tools. The solution was designed to:
Monitor and analyze data from multiple sources, including suppliers, weather forecasts, and geopolitical indicators.
Predict potential risks and disruptions using machine learning algorithms.
Recommend mitigation strategies and alternative plans to minimize the impact of identified risks.
Development Steps
Data Collection
Aggregated data from internal supply chain systems, external risk databases, and third-party sources, such as weather services and market reports.
Preprocessing
Standardized and cleaned data to ensure accuracy and compatibility across multiple data sources and formats.
Model Development
Built predictive models to identify risks, such as supplier delays, transportation bottlenecks, and market volatility. Developed risk scoring algorithms to prioritize and classify risks based on severity and likelihood.
Validation
Tested the system using historical supply chain data and simulated risk scenarios to ensure accuracy and reliability in risk prediction.
Deployment
Integrated the system with the company’s supply chain management tools, enabling real-time monitoring and risk assessments.
Continuous Monitoring & Improvement
Established a feedback loop to refine predictive models and risk assessment algorithms based on new data and emerging trends.
Results
Enhanced Risk Detection
The system provided early warnings for potential disruptions, allowing the company to take proactive measures.
Reduced Supply Chain Disruptions
Risk mitigation strategies minimized the impact of disruptions, ensuring continuity in production and deliveries.
Improved Resilience
The system strengthened the company’s supply chain by identifying vulnerabilities and suggesting improvements.
Cost Savings
Proactive risk management reduced costs associated with delays, penalties, and emergency logistics.
Real-Time Decision-Making
AI-driven insights enabled quick and informed decisions, enhancing the overall efficiency of supply chain operations.
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The global Intelligent Risk Management System (IRMS) market is estimated to be valued at USD XXX million in 2025 and is projected to grow at a CAGR of XX% over the forecast period (2025-2033). The market is driven by the increasing need for businesses to manage risks effectively, the growing adoption of big data analytics, and the rising regulatory compliance requirements. The market is also expected to benefit from the increasing investments in digital transformation and the growing trend of outsourcing risk management functions. North America is the largest market for IRMS, followed by Europe and Asia Pacific. The market in North America is driven by the presence of a large number of large enterprises and the stringent regulatory compliance requirements. The market in Europe is driven by the growing awareness of risk management and the increasing adoption of big data analytics. The market in Asia Pacific is expected to grow at the highest CAGR over the forecast period, due to the increasing adoption of IRMS by businesses in the region. The key players in the market include IBM, Oracle, SAP, SAS, Experian, Misys, Fiserv, Kyriba, Active Risk, Pegasystems, TFG Systems, Palisade Corporation, Resolver, Optial, Riskturn, Xactium, Alibaba, Riskdata, Imagine Software, GDS Link, CreditPoint Software, and others.
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Treasury And Risk Management Software Market size was valued at USD 6.1 Billion in 2024 and is projected to reach USD 13.6 Billion by 2031, growing at a CAGR of 12.4% during the forecast period 2024-2031.
Treasury And Risk Management Software Market Drivers
Growing Financial Complexity:
Expanding Global Operations: Businesses are increasingly operating in a globalized environment, with complex financial transactions across different currencies and markets. Treasury and risk management software helps them centralize and streamline these operations.
Increased Regulatory Requirements: Regulatory bodies are implementing stricter financial regulations for businesses. This software helps ensure compliance with these regulations by automating reporting processes and providing real-time data analysis.
Focus on Risk Mitigation:
Market Volatility and Uncertainty: Financial markets are becoming increasingly volatile, with factors like geopolitical tensions and economic fluctuations creating uncertainty. This software helps businesses identify, assess, and manage various financial risks.
Fraud Prevention and Cybersecurity Threats: The rising threat of financial fraud and cyberattacks necessitates robust risk management solutions. This software can help detect suspicious activity, prevent fraud attempts, and safeguard sensitive financial data.
Improved Efficiency and Decision-Making:
Automation of Manual Tasks: Treasury and risk management software automates manual tasks such as cash flow forecasting, liquidity management, and risk assessment. This frees up valuable time for treasury teams to focus on strategic financial planning.
Data-Driven Decision Making: These software solutions offer comprehensive data analytics and reporting capabilities. This empowers businesses to make informed decisions based on real-time financial insights and risk assessments.
Financial overview and grant giving statistics of School Leaders Risk Management Association
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Vietnam risk management market size is projected to exhibit a growth rate (CAGR) of 17.00% during 2024-2032. The growing complexity and interconnectedness of the business landscape, increasing occurrence of cybersecurity breaches, and rising prominence of environmental, social, and governance (ESG) considerations represent some of the key factors driving the market represent some of the key factors driving the market.
Report Attribute
|
Key Statistics
|
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Base Year
| 2023 |
Forecast Years
|
2024-2032
|
Historical Years
|
2018-2023
|
Market Growth Rate (2024-2032) | 17.00% |
Risk management enables identifying, assessing, prioritizing, and addressing uncertainties or risks that an organization may face in the pursuit of its objectives. It manages financial risks, which are associated with alterations in currency exchange rates, interest rates, commodity prices, and market volatility. It also consists of operation risk management, wherein risks arising from internal processes, systems, human errors, supply chain disruptions, technology failures, and fraud are managed. It includes compliance risk management, which handles risks associated with non-compliance with laws, regulations, and industry standards, leading to legal and reputational issues. It involves recognizing and cataloging potential risks that an organization may face. It can be done through brainstorming, historical data analysis, and scenario planning. It conducts risk assessment, wherein risks are assessed as per their probability and potential impact. It facilitates the development and implementation of strategies to lower the likelihood and impact of risks. It helps safeguard the assets, reputation, and financial stability of an organization, reducing the likelihood of major financial losses. It informs strategic decisions, allowing organizations to seize opportunities and avoid potential pitfalls. Risk management enhances the ability of an organization to withstand and recover from unforeseen events, ensuring business continuity. It also leads to better resource allocation, improved project selection, and higher returns on investments.
At present, the increasing complexity and interconnectedness of the business landscape and the proliferation of data represent one of the crucial factors impelling the growth of the market in Vietnam. Organizations are also recognizing the imperative of identifying, assessing, and mitigating risks that span across various dimensions, such as operational, financial, cybersecurity, and compliance, to safeguard their operations and reputation. Besides this, the rising frequency and severity of unforeseen events, such as natural disasters, geopolitical uncertainties, and public health crises, is driving the adoption of risk management strategies in the public and private sectors. In addition, the growing advancements in technology, including artificial intelligence (AI), machine learning (ML), and big data analytics for enhanced risk assessment and predictive modeling and enabling organizations to proactively identify emerging risks and optimize their decision-making processes are offering a favorable market outlook in the country. Apart from this, the increasing prominence of environmental, social, and governance (ESG) considerations is encouraging businesses to invest in ESG risk assessment tools and reporting mechanisms to meet the evolving demands of responsible investing. Additionally, the rising occurrence of cybersecurity breaches to steal various confidential information is bolstering the market growth. Moreover, the shifting nature of work and business operations, exemplified by the widespread adoption of remote and hybrid work models, is necessitating the development of strategies to manage the complications associated with remote work, data security, and employee well-being.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on component, deployment mode, enterprise size, and industry vertical.
Component Insights:
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The report has provided a detailed breakup and analysis of the market based on the component. This includes software and service.
Deployment Mode Insights:
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based.
Enterprise Size Insights:
The report has provided a detailed breakup and analysis of the market based on the enterprise size. This includes large enterprises and small and medium-sized enterprises.
Industry Vertical Insights:
A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes BFSI, IT and telecom, retail, healthcare, energy and utilities, manufacturing, government and defense, and others.
Regional Insights:
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The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
---|---|
Base Year of the Analysis | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Units | US$ Million |
Scope of the Report | Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
|
Components Covered | Software, Service |
Deployment Modes Covered |
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The Model Risk Management (MRM) Service market has witnessed significant evolution in recent years, playing a critical role in the financial services sector and beyond. As organizations increasingly rely on advanced quantitative models for decision-making, the management of model risk-arising from inaccuracies in mo
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Bank Risk Management Software Market size was valued at USD 11.87 Billion in 2023 and is projected to reach USD 30.64 Billion by 2030, growing at a CAGR of 14.50% during the forecast period 2024-2030.
Global Bank Risk Management Software Market Drivers
The market drivers for the Bank Risk Management Software Market can be influenced by various factors. These may include:
Regulatory Compliance: To guarantee adherence to laws like Basel III, Dodd-Frank, and IFRS 9, the banking industry must comply with strict standards pertaining to risk management, which is why risk management software is being adopted.
Risk Mitigation: Banks are putting more and more effort into reducing different risks, such as liquidity, credit, market, and operational risks. Banks can more efficiently detect, evaluate, and manage these risks with the use of risk management software.
Real-Time Risk Monitoring: It is becoming more and more necessary as a result of the growing complexity of financial markets and the popularity of digital banking. Banks can keep an eye on hazards in real time and react fast to possible threats with the help of risk management software.
Data Analytics: Banks are finding it more difficult to evaluate and interpret data in order to identify hazards as a result of the banking industry’s expanding volume of data. Advanced analytics-capable risk management software assists banks in sifting through massive datasets to find patterns and trends that can point to possible hazards. Banks are becoming more and more concerned about the hazards associated with cybersecurity, such as data breaches and cyberattacks. Banks may safeguard their systems and data by identifying and reducing cybersecurity threats with the aid of risk management software.
Operational Efficiency: Banks can save costs and increase operational efficiency by streamlining their risk management procedures with the use of risk management software.
Market Competition: To keep a competitive edge in a market where there is competition, banks must successfully manage risks. By using risk management software, banks may better control risks and concentrate on their main business operations.
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Financial risk management software market size was estimated at $3.15 Bn in 2022 & predicted to grow $10.14 Bn by 2030 at 13.89% CAGR from 2024 - 2032.
This statistic displays the risk management efficiency benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that manufacturing would benefit most from improved risk management due to Big Data implementation. The professional service sector was ranked second with roughly 9.4 billion British pounds.