Global Risk Analytics Market

Global Risk Analytics Market Size, Share, Growth Analysis, By Deployment Outlook(On-Premise and Cloud), By Enterprise Size(Large Enterprise, Small & Medium Enterprise) - Industry Forecast 2024-2031

Report ID: SQMIG45E2129 | Region: Global | Published Date: April, 2024
Pages: 197 | Tables: 60 | Figures: 77

Global Risk Analytics Market News

  • November 2023: Axioma, a global provider of factor risk models, portfolio construction tools, and multi-asset class enterprise risk solutions, and SimCorp, a software business located in Denmark, announced that they would merge. Because of Axioma and SimCorp's combined power, this dynamic, front-to-back platform is still essential. SimCorp's acquisition with Axioma enhances its presence in important markets like North America, which is its main growth market. 
  • SafeView was introduced in October 2023 by "Idelic," a significant supplier of sophisticated driver performance management systems. Safeview is a cutting-edge corporate intelligence and analytics tool. The most recent was introduced to give fleets transformative vows into possible hazards. 
  • Axioma, a top supplier of risk models, established a partnership with Jacobi Inc. in September 2023. Investment managers are to benefit from improved risk analytics and workflow tools because of this relationship.
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Global Risk Analytics Market size was valued at USD 43.45 billion in 2022 and is poised to grow from USD 53.10 billion in 2023 to USD 264.02 billion by 2031, at a CAGR of 22.2% during the forecast period (2024-2031).

A select few major businesses control the majority of the market. The dynamics of the market, however, have evolved recently as a result of the growth of niche firms offering solutions tailored to specific industries. Mergers, acquisitions, and partnerships are common strategies used by businesses to improve their goods and acquire a competitive edge. 'IBM Corporation (United States)', 'Oracle Corporation (United States)', 'SAP SE (Germany)', 'SAS Institute Inc. (United States)', 'FIS Global (United States)', 'Moody's Analytics, Inc. (United States)', 'Fiserv, Inc. (United States)', 'Verisk Analytics, Inc. (United States)', 'AxiomSL (United States)', 'Wolters Kluwer N.V. (Netherlands)', 'FICO (United States)', 'Numerix LLC (United States)', 'RiskEdge Solutions (India)', 'Gurucul (United States)', 'Experian plc (Ireland)', 'NICE Actimize (United States)', 'BlackRock, Inc. (United States)', 'Resolver Inc. (Canada)', 'Axtria Inc. (United States)', 'Quantzig (United States)', 'Provenir, Inc. (United States)', 'Sybase (United States)'

Organizations struggle to handle a huge amount of data and detect potential dangers in the face of growing business complexity. The main causes of increasing company complexity are expanding inventions, shifting types of complexity, a lack of information management, complex legislation, and governmental scrutiny. After the financial crisis of 2008, businesses started to take risk management more seriously and began spending a lot of money adopting innovative methods that can assist control risk throughout the business. Data has been generated in enormous amounts as a result of growing technical innovation and the spread of new technologies, including edge computing, AI, ML, and IoT.

The adoption of cloud computing is driving the shift towards cloud-based risk analytics solutions. Cloud-based platforms offer scalability, flexibility, and cost-effectiveness, allowing organizations to access risk data from anywhere, collaborate effectively, and scale their risk analytics capabilities as per their requirements. Cloud-based solutions also enable seamless integration with other enterprise systems and provide enhanced data security measures.

The greatest proportion of the market is anticipated to reside in North America. The expanding industry acceptance of risk governing technology is credited with the region's dominance. Businesses in the area are leaning more towards reworking their current risk management plans to get rid of hazards and duplications. As an illustration, in the wake of multiple cyberattacks, banks and financial institutions in the area are putting more of a focus on controlling cybersecurity risks. Vendors of analytics solutions are embracing cutting-edge technology including robotic process automation (RPA), machine learning, and cognitive analysis. Businesses are emphasizing the redesign of risk assessment frameworks with these technological linkages. Utilizing such technology can assist SMEs and major businesses in the area in increasing business efficiency by automatically testing a tremendous number of unstructured data, which can be used to spot problems and enable preventive measures.

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