The global fraud detection and prevention market size was US$ 27.8 billion in 2020. The global fraud detection market is forecast to reach the value of US$ 138.3 billion by 2030 by growing at a compound annual growth rate (CAGR) of 17.8% during the forecast period from 2021-2030.
Factors Influencing
Geographic Analysis
North America is forecast to hold the highest share in the global fraud detection and prevention market. The growth of the region would be due to the rapidly increasing fraudulent activities, increasing adoption of AI-based solutions. Moreover, the increasing demand for machine learning and the Internet of Things (IoT) for fraud detection is forecast to benefit the North American market during the forecast timeframe.
The Asia-Pacific region is projected to record rapid growth in the global fraud detection and prevention market. It is due to the increasing adoption of fraud detection and prevention software and the growing use of cloud-based services in government and private sectors. Moreover, the rising cases of fraudulent activities would benefit the global fraud detection and prevention market in the Asia-Pacific region.
COVID-19 Impact Analysis
The global fraud detection and prevention market witnessed a sudden upsurge in the demand for efficient solutions. Due to the COVID-19 epidemic, various government and private organizations began operating on the virtual model. It increased the dependency on cloud-based systems. Thus, the fraudulent activities abruptly increased. To prevent the data from fraud, organizations began adopting fraud detection and prevention solutions to keep their data safe and encrypted.
Moreover, the sudden increase in the number of users created an opportunity for fraudsters to obtain insurance claims from hospitals and governments. Thus, the healthcare sector, banking sector, and government organizations adopted fraud detection and prevention software to track the source of fraud activities and prevent the data from cyber attacks.
Competitors in the Market
Market Segmentation
By Deployment Type
By End-User
By Industry Vertical
By Services
By Solution
By Region