글로벌 사기 탐지 및 예방 시장 규모, 점유율 및 추세 분석 보고서 – 산업 개요 및 2031년까지의 예측

사기 탐지 및 예방 시장 분석

사기 탐지 및 예방 시장은 조직이 금융 자산과 민감한 데이터의 보호를 점점 더 우선시함에 따라 빠르게 진화하고 있습니다. 디지털 거래의 증가와 사이버 범죄자의 정교함이 커짐에 따라 기업은 실시간으로 사기를 탐지하고 예방하기 위한 첨단 기술에 막대한 투자를 하고 있습니다. 이 시장은 머신 러닝 알고리즘, 인공 지능 , 생체 인증을 포함한 광범위한 솔루션을 포함하며, 모두 보안을 강화하고 규정 준수 프로세스를 간소화하도록 설계되었습니다. 최근 개발에는 새로운 위협에 적응하고 탐지 정확도를 개선할 수 있는 AI 기반 분석의 통합이 포함됩니다. 또한 규제 변화로 인해 조직은 강력한 사기 방지 조치를 채택하여 시장 성장을 위한 비옥한 토양을 조성하고 있습니다. 결과적으로 사기 탐지 및 예방 시장은 다양한 부문에서 위험을 완화하고 조직의 무결성을 보호하는 효과적인 솔루션에 대한 수요가 증가함에 따라 상당한 확장을 목격할 것으로 예상됩니다.

사기 탐지 및 예방 시장 규모

글로벌 사기 탐지 및 예방 시장 규모는 2023년에 2억 2,184만 달러로 평가되었으며, 2031년까지 5억 3,570만 달러에 도달할 것으로 예상되며, 2024년에서 2031년까지의 예측 기간 동안 CAGR은 11.65%입니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, 페슬 분석이 포함되어 있습니다.

사기 탐지 및 예방 시장 동향

“인공지능의 통합”

사기 탐지 및 예방 시장은 기술의 발전과 진화하는 소비자 행동에 의해 주도되는 중요한 추세를 목격하고 있습니다. 인공 지능(AI)과 머신 러닝의 혁신이 최전선에 있으며, 조직이 방대한 양의 데이터를 빠르고 정확하게 분석하여 탐지 기능을 개선할 수 있습니다. 주목할 만한 추세 중 하나는 사용자 행동 패턴을 평가하여 인증 프로세스를 개선하는 행동 생체 인식의 채택이 증가하고 있다는 것입니다. 이러한 접근 방식은 보안을 강화하고 기존 인증 방법과 관련된 마찰을 줄입니다. 기업이 사기에 맞서기 위한 보다 효과적인 방법을 모색함에 따라 이러한 추세는 역동적인 위협에 적응하고 다양한 산업 전반에 걸쳐 강력한 보호를 제공하여 사용자에게 안전한 거래 환경을 보장하는 혁신적인 솔루션의 필요성을 강조합니다.

보고 범위 및 사기 탐지 및 예방 시장 세분화         

Fraud Detection and Prevention Market Definition

Fraud detection and prevention encompasses the methods and technologies used by organizations to identify and mitigate fraudulent activities. Utilizing data analysis, machine learning, and behavioral analytics, these systems recognize suspicious patterns in transactions or user behavior. The primary goal is to safeguard financial assets and sensitive information, ensuring organizational integrity and compliance while enhancing customer trust in digital environments.

Fraud Detection and Prevention Market Dynamics

Drivers

• Increase in Digital Transactions

The surge in online shopping, digital banking, and mobile payments has significantly increased the demand for robust fraud detection solutions to safeguard financial transactions. As more consumers engage in digital transactions, the potential for fraudulent activities, such as identity theft and payment fraud, has also risen. This shift has compelled businesses and financial institutions to invest in advanced fraud detection technologies that utilize machine learning and data analytics to identify suspicious patterns in real-time. By implementing these solutions, organizations can mitigate risks, enhance security, and protect their customers' sensitive information, ultimately fostering trust and confidence in the digital economy.

• Rising Awareness Among Businesses

Increasing awareness of the financial and reputational risks associated with fraud is driving organizations to invest in effective detection and prevention solutions. As high-profile data breaches and fraud cases make headlines, businesses recognize the potential consequences of inadequate security measures, including substantial financial losses and damage to brand reputation. This growing awareness is leading organizations to prioritize the implementation of advanced fraud detection technologies, such as machine learning algorithms and real-time monitoring systems, to proactively combat fraudulent activities. By adopting these solutions, companies aim to protect their assets, ensure regulatory compliance, and maintain customer trust in an increasingly competitive and digital landscape.

Opportunities

• Integration of Behavioral Analytics

Leveraging behavioral analytics to monitor user behavior presents a significant opportunity to enhance fraud detection capabilities. By analyzing patterns in how users interact with systems, companies can create solutions that adapt to individual behaviors, allowing for more precise identification of anomalies indicative of fraud. This approach improves the accuracy of fraud detection and minimizes the occurrence of false positives, which can lead to unnecessary disruptions for legitimate users. As businesses increasingly prioritize user experience alongside security, the integration of behavioral analytics into fraud prevention strategies becomes essential, paving the way for more effective and efficient solutions in the market.

• Increased Investment in Cybersecurity

Growing concerns over cyber threats are prompting organizations to significantly increase their investments in cybersecurity measures, including fraud detection and prevention solutions. As cybercriminals become more sophisticated and persistent, businesses recognize the urgent need to protect their financial assets and sensitive data from potential breaches. This heightened awareness is driving demand for advanced fraud detection technologies that utilize artificial intelligence, machine learning, and real-time monitoring to identify suspicious activities effectively. Consequently, this trend is creating a robust market for fraud detection solutions, as organizations seek to fortify their defenses, comply with regulatory requirements, and maintain customer trust in an increasingly digital landscape.

Restraints/Challenges

• Cybercriminals Evolving Fraud Techniques

Cybercriminals are continuously evolving their tactics, developing new and sophisticated methods to bypass existing security measures. This relentless innovation poses a significant challenge for organizations striving to protect their financial assets and sensitive information. As fraud schemes become more complex, traditional detection systems often fall short, making it imperative for businesses to invest in advanced technologies that can adapt to these evolving threats. However, staying ahead of cybercriminals requires ongoing research, development, and investment, which can strain resources and complicate strategic planning. Consequently, the rapid pace of change in cyber threats presents a persistent challenge for organizations in their efforts to maintain effective fraud detection and prevention.

• Shortage of Skilled Cybersecurity Professionals

A significant shortage of skilled cybersecurity professionals with expertise in fraud detection technologies poses a substantial restraint for organizations seeking to implement and maintain effective solutions. As the demand for advanced fraud detection capabilities increases, companies struggle to find qualified personnel who can effectively manage, analyze, and respond to potential threats. This skills gap can lead to delays in deploying necessary systems and may result in inadequate security measures, leaving organizations vulnerable to cyberattacks. Additionally, the lack of expertise can hinder the ability to leverage advanced technologies, such as artificial intelligence and machine learning, further complicating efforts to combat evolving fraud techniques and maintain robust security.

Fraud Detection and Prevention Market Scope

The market is segmented on the basis of component, solution, application area, deployment mode, organization size, and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Solutions
• Services

Solution

• Fraud Analytics
  • Predictive Analytics
  • Customer Analytics
  • Social Media Analytics
  • Big Data Analytics
  • Behavioral Analytics
• Authentication
  • Single-Factor Authentication
  • Multi-Factor Authentication
• Governance, Risk and Compliance 

Application Area

• Identity Theft
• Payment Fraud
• Money Laundering
• Others

Deployment Mode

• On-Premises
• Cloud

Organization Size

• Small and Medium-Sized Enterprises
• Large Enterprises

  Vertical

• Banking
• Financial Services and Insurance
• Retail
• Telecommunications
• Government/Public Sector
• Healthcare
• Real Estate
• Energy and Power
• Manufacturing
• Others

Fraud Detection and Prevention Market Regional Analysis

The market is analyzed and market size insights and trends are provided by country, component, solution, application area, solution, deployment mode, organization size, and vertical as referenced above.

The countries covered in the market report are U.S., Canada, Mexico in North America, Germany, Sweden, Poland, Denmark, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Rest of South America as a part of South America, U.A.E, Saudi Arabia, Oman, Qatar, Kuwait, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America leads the global fraud detection and prevention market and is expected to maintain this dominance throughout the forecast period. This trend is primarily driven by the widespread adoption of EMV chips for secure payment transactions, which enhance fraud protection. As users increasingly utilize these advanced security measures, the demand for effective fraud detection solutions continues to grow in the region.

Asia-Pacific is projected to experience significant growth in the global fraud detection and prevention market from 2024 to 2031. This expansion is largely attributed to the increasing internet penetration and the rising use of mobile data across various applications, such as social media and mobile banking. As more consumers engage in digital transactions, the demand for robust fraud detection solutions is expected to rise in the region.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Fraud Detection and Prevention Market Share

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

Fraud Detection and Prevention Market Leaders Operating in the Market Are:

• InterGuard (U.S.)
• Software GmbH (Germany)
• NCR Voyix Corporation (U.S.)
• Capgemini (France)
• DXC Technology Company (U.S.)
• LexisNexis (U.S.)
• Splunk LLC (U.S.)
• Microsoft (U.S.)
• Bloombase (China)
• Broadcom (U.S.)
• Intel Corporation (U.S.)
• Amazon Web Services Inc. (U.S.)
• Check Point Software Technologies Ltd. (Israel)
• Cisco Systems Inc. (U.S.)
• F-Secure (Finland)

Latest Developments in Fraud Detection and Prevention Market

• In December 2023, Experian partnered with NeuroID to strengthen its fraud prevention solutions. This collaboration focuses on deterring fraud attacks, preventing identity theft, and safeguarding against AI-powered bots. By combining their expertise, the two companies aim to enhance security measures and provide more effective protection for consumers and businesses alike
• 2023년 10월, Oscilar는 사기 방지를 위해 특별히 설계된 업계 최초의 생성형 AI 기반 플랫폼을 공개했습니다. 이 혁신적인 솔루션은 잠재적인 사기 패턴을 자동으로 식별하고, 근본 원인 분석을 수행하며, 실시간 위험 권장 사항을 제공합니다. Oscilar는 고급 AI 기술을 활용하여 기업의 사기 탐지 및 예방 노력의 효과를 높이는 것을 목표로 합니다.
• 2023년 5월, Experian은 미국의 유명한 사기 방지 데이터 네트워크를 핀테크에 초점을 맞춘 Experian's Hunter를 출시했습니다. 이 혁신적인 솔루션은 기업과 소비자 모두에게 사기로부터 향상된 보호를 제공하는 것을 목표로 합니다. Experian's Hunter는 광범위한 데이터 기능을 활용하여 보안 조치를 강화하고 사기 활동과 관련된 위험을 완화하고자 합니다.
• 2022년 9월, Experian은 모든 규모의 조직이 거래 및 고객 라이프사이클 전반에 걸쳐 사기를 감지하도록 지원하도록 설계된 포괄적인 사기 보호 솔루션인 Experian Fraud Score를 출시했습니다. 이 도구를 사용하면 기업이 잠재적인 사기 활동을 효과적으로 식별하여 보안 조치를 강화할 수 있습니다. Experian Fraud Score는 중요한 단계에서 귀중한 통찰력을 제공함으로써 조직의 사기 거래에 대한 방어력을 강화하는 것을 목표로 합니다.
• 2022년 6월, Advanced Fraud Solutions(AFS)는 결제 및 금융 서비스 기술의 선도적 공급업체인 Fiserv와 협력했습니다. 이 협력을 통해 Fiserv와 금융 기관 고객은 위험 기반 자금 가용성을 평가하고 사기 탐지 및 의사 결정 프로세스를 개선할 수 있습니다. AFS의 솔루션을 통합함으로써 이 파트너십은 손실을 방지하고 처리되기 전에 사기성 신용을 식별하는 것을 목표로 합니다.

SKU-24811