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市場調查報告書
商品編碼
1701042
詐欺偵測與預防市場規模、佔有率、成長分析、按詐欺類型、按產品、按部署模式、按功能、按組織規模、按行業垂直和按地區 - 2025 年至 2032 年行業預測Fraud Detection And Prevention Market Size, Share, and Growth Analysis, By Fraud Type, By Offering, By Deployment Mode, By Functionality, By Organisation Size, By Vertical, By Region - Industry Forecast 2025-2032 |
預計到 2023 年,詐欺偵測和預防市場規模將達到 277.3 億美元,從 2024 年的 323.9 億美元成長到 2032 年的 1121.9 億美元,預計在預測期內(2025-2032 年)的複合年成長率為 16.8%。
截至 2023 年 10 月,網路攻擊和網路詐騙的增加增加了組織對強大的詐欺偵測和預防系統的需求。各種電子商務交易的快速成長,加上高度敏感的個人資料的處理,凸顯了對進階分析以識別威脅模式的需求。手機遊戲和社群媒體的快速發展進一步加劇了詐騙情勢,使企業面臨更複雜的騙局和損失。因此,對由專門的軟體工具支援的自動和手動詐欺偵測解決方案的需求日益增加,以有效應對這些不斷演變的威脅。各組織被迫加強策略以保護自己免受日益成長且複雜的詐騙挑戰。
Fraud Detection and Prevention Market size was valued at USD 27.73 billion in 2023 and is poised to grow from USD 32.39 billion in 2024 to USD 112.19 billion by 2032, growing at a CAGR of 16.8% during the forecast period (2025-2032).
As of October 2023, market insights highlight the critical need for robust fraud detection and prevention systems in organizations, driven by an increase in cyber-attacks and online fraud. The surge in various e-commerce transactions, coupled with the handling of sensitive personal data, emphasizes the necessity for advanced analytics to identify threat patterns. The rapid expansion of mobile gaming and social media further complicates the fraud landscape, exposing businesses to more sophisticated schemes and losses. Consequently, there is an escalating demand for both automated and manual fraud detection solutions, supported by specialized software tools, to effectively combat these evolving threats. Organizations are compelled to enhance their strategies to safeguard against the growing and intricate challenges of fraud.
Top-down and bottom-up approaches were used to estimate and validate the size of the Fraud Detection And Prevention 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.
Fraud Detection And Prevention Market Segments Analysis
Global Fraud Detection and Prevention Market is segmented by Fraud Type, Offering, Deployment Mode, Functionality, Organisation Size, Vertical and region. Based on Fraud Type, the market is segmented into Check Fraud, Identity Fraud, Insider Fraud, Investment Fraud, Payment Fraud, Insurance Fraud, Friendly Fraud and Other Fraud Types. Based on Offering, the market is segmented into Solutions, Services, Professional Services and Managed Services. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Functionality, the market is segmented into Real-Time Detection and Forensic Analysis. Based on Organisation Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises (Smes). Based on Vertical, the market is segmented into Banking, Financial Services, And Insurance, Banking & Finance, Insurance, Retail & Ecommerce, Government, Healthcare, Manufacturing, Travel & Transportation, Real Estate, Telecommunications and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Fraud Detection And Prevention Market
The Fraud Detection and Prevention market is significantly driven by the rise of online applications and mobile banking services, which has led to an increase in fraudulent websites and applications. This issue is not limited to the financial sector; it extends to various industries, including retail, e-commerce, manufacturing, and healthcare, where illegitimate platforms often pose as genuine businesses to deceive consumers. As customers increasingly rely on mobile applications for essential banking functions-such as conducting online payments, reviewing statements, registering complaints, and providing feedback-the demand for effective fraud detection and prevention solutions has surged. This shift highlights the crucial need for robust security measures to protect users against online fraud.
Restraints in the Fraud Detection And Prevention Market
The growth of the Fraud Detection and Prevention (FDP) market may face significant challenges due to a lack of skilled professionals and experienced workers in emerging markets who are essential for modernizing FDP systems. Companies maintain vital records and customer data on their servers, making the protection and security of this information paramount to prevent issues such as money laundering. Nonetheless, the increasing sophistication of cyber-attacks and innovative anonymous threats could strain the effectiveness of existing FDP systems, thereby restraining industry development and prompting the need for more robust solutions and greater investment in workforce training and development.
Market Trends of the Fraud Detection And Prevention Market
The expanding use of cloud technology is a prominent market trend driving the evolution of the Fraud Detection and Prevention market. With its vast processing capabilities and scalable storage solutions, cloud technology enables organizations to swiftly identify and mitigate cyber threats. This trend is particularly beneficial for small and medium-sized banks and financial institutions, which are increasingly adopting cloud-based solutions to enhance their fraud management systems. The flexibility and accessibility provided by cloud infrastructure allow these entities to integrate advanced analytics and machine learning tools efficiently, ensuring rapid response to emerging cybercrimes and ultimately fostering a more secure digital transaction environment.