市场调查报告书
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1463384
全球风险分析市场规模、份额、成长分析,按部署前景(本地和云端)、按企业规模(大型企业、中小企业)- 2024-2031 年产业预测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 |
2022年全球风险分析市场规模为434.5亿美元,预计将从2023年的531.0亿美元成长到2031年的2,640.2亿美元,预测期间(2024-2031年)复合年增长率为22.2%。
全球市场的主要驱动力是一个单一平台,该平台在分析、计算、预测和风险缓解方面促进风险管理和公司营运。此外,预计新兴国家不断增长的需求以及将人工智慧 (AI) 纳入这些分析将为软体开发人员带来大量机会。市场上许多供应商都专注于提供人工智慧整合解决方案,帮助企业应对新出现的威胁。各种最终用户部门越来越多地使用大量结构化和非结构化资料,这提高了对风险分析来管理和保护资料免受威胁的需求。例如,Seagate Technology PLC 预计,到 2020 年和 2025 年,全球总资料量将分别达到 47 泽字节和 163zetta位元组。全球风险专业人士协会预计,资本市场、银行和保险业将在风险资讯技术和服务上投资 960 亿美元。由于许多行业快速采用大量有组织和非结构化资料,因此越来越需要缓解风险来管理和保护资料免受风险。为了保持竞争优势并促进加强监管报告,这些公司正在透过实施综合策略来采用更全面的风险治理方法。
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).
The primary driver of the worldwide market is a single platform that facilitates risk management and company operations in terms of analysis, computation, forecasting, and risk mitigation. Furthermore, it is projected that the increasing demand from emerging countries and the incorporation of artificial intelligence (AI) into these analytics would present numerous opportunities for software developers. Many vendors in the market are focusing on providing AI-integrated solutions that help businesses confront emerging threats. A variety of end-user sectors are increasingly using large volumes of structured and unstructured data, which raises the demand for risk analytics to manage and safeguard data from threats. For example, Seagate Technology PLC projects that the world's total data volume will reach 47 and 163 zettabytes by 2020 and 2025, respectively. The Global Association of Risk Professionals projects that the capital markets, banking, and insurance industries will invest USD 96 billion in risk information technologies and services. With so many sectors adopting massive volumes of organized and unstructured data quickly, there is an increasing need for risk mitigation to manage and safeguard data from risks. To maintain their competitive edge and facilitate enhanced regulatory reporting, the companies are adopting a more all-encompassing approach to risk governance through the implementation of integrated strategies.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Risk Analytics Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Risk Analytics Market Segmental Analysis
Global Risk Analytics Market is segmented on the basis of type, end user, deployment outlook, enterprise size and region. By type, the market is segmented into big data analytics, business analytics, customer analytics, risk analytics, statistical analytics, others. By end user, market is segmented into BFSI, government, healthcare, IT & telecom, military & defense, others. by deployment outlook, the market is segmented into on-premise and cloud. by enterprise size, the market is segmented into the large enterprise, small & medium enterprise. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Risk Analytics Market
Businesses are finding it increasingly difficult to manage massive data sets and identify possible threats as business complexity rises. Expanding inventions, changing types of complexity, inadequate information management, intricate laws, and government monitoring are the primary factors contributing to an organization's growing complexity. Following the 2008 financial crisis, companies began to place a higher priority on risk management and invested heavily in adopting cutting-edge techniques that can help control risk throughout the entire organization. Growing technical innovation and the adoption of new technologies, such as edge computing, AI, ML, and IoT, have resulted in the massive generation of data.
Restraints in the Global Risk Analytics Market
Regulatory compliance can take a variety of shapes globally. This makes it difficult for organizations to lower compliance risk and follow a variety of regulatory requirements that differ from nation to nation and industry to industry. One of the things preventing the risk analytics market from growing is the lack of a set standard to be adhered to. Additionally, these factors make it difficult for businesses providing risk analytics solutions to satisfy the needs of a wide range of end customers. In some regions where there is no regulatory structure and standard imposed by governing authorities, organizations focus on developing internal regulatory rules and policies.
Market Trends of the Global Risk Analytics Market
The move toward cloud-based risk analytics solutions is being driven by the use of cloud computing. Scalability, cost-effectiveness, and flexibility are features of cloud-based platforms that let businesses work together efficiently, access risk data from any location, and expand their risk analytics capabilities to meet their needs. Cloud-based solutions offer improved data security measures and facilitate smooth integration with other company systems.