AI in Fraud Management Market to Surpass US$ 39 Bn by 2031 amid Proliferation of Online Applications and Mobile Banking Services: FMI Report

According to newly AI in fraud management industry analysis by Future Market Insights (FMI), the demand registered in the market will increase at a CAGR of 18.0% from 2021-2031.

The report also forecasts that the market will surpass a valuation of ~US$ 7.5 Bn by the end of 2021. As per FMI, rapid technological advancements in the IT & telecom industry have created prospects for AI in fraud management implementation. These technologies have become essential in improving economic competitiveness, thereby propelling the market growth.

AI in fraud management solutions can be utilized to detect and prevent fraud in real-time applications. AI capabilities help data scientists to determine which transactions are probably to be fake, while considerably reducing false positives.

These technologies are more effective in fraud detection and prevention. The solution providers are integrating cloud platform and AI as well as machine learning in the fraud management services for providing an advanced cloud-based application to the customers for financial compliances.

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Key Takeaways: AI in Fraud Management Market

· By solution segment, the AI-powered fraud prevention software is anticipated to account for the leading share in the global demand for AI in fraud management during the forecast period. The segment estimated to grow at a robust CAGR of 18.6% through 2031.

· The demand for AI in fraud management in small and medium enterprises (SMEs) is expected to rise at maximum pace as these organizations continue adopting AI in fraud management and cloud based solutions for better ROI.

· Demand for AI in fraud management in IT & Telecom and BFSI sector is estimated to grow at impressive CAGR. Of these, BFSI industry is expected to account for leading share in AI in fraud management sales forecast during the forecast period.

· North America is expected to lead the market followed by Europe in 2021. South Asia & Pacific is anticipated to emerge as the fastest growing region between 2021 & 2031.

· The market in Japan is expected to progress at a CAGR of 20% through 2031.

· In the U.K., sales are expected to increase at a CAGR of close to 21% over the next ten years.

“Fraud detection has become more efficient and effective with the introduction of Artificial Intelligence (AI). AI technology, particular anomaly detection, has streamlined fraud detection and created a more efficient and accurate system for detecting and preventing fraud. Moreover, it also allows businesses to gain more information on their customers and enhance the capabilities of AI security software. Thus, it is more important than ever for organizations to utilize AI technology in fraud detection strategies,” says FMI analyst.

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COVID-19 Impact Analysis on AI in Fraud Management Market

The COVID-19 pandemic outbreak has disrupted many industries, including the AI in fraud management industry. The COVID-19 pandemic is fueling the need for increased businesses towards online, and e-commerce therefore digital fraud has spiked.

E-commerce fraud has considerably increased as COVID-19 continues to force retailers to take stores online to increase their sales and meet customers demand. For instance, at the initial stage of the coronavirus pandemic in the U.S., AI-based fraud management vendor Fraud.net saw a 40% surge in online retail fraud attempts.

AI in the fraud management market is expected to grow by 2.0X from 2020-2021 and would see a surge in demand amid the COVID-19 outbreak, as cloud-based AI fraud prevention becomes the new norm.

Hence, implementation of AI in fraud management tools would be highly valuable during the COVID-19 period due to several factors such as increasing use of electronic transactions amid pandemic crises, increased risks from remote access, and growing revenue losses due to fraudulent activities.

Thus, the demand for AI in fraud management solutions is estimated to grow around 14.4% to 16.6% Y-o-Y from 2019 to 2021.

Advanced Analytics to Emerge as a New Trend

Some of the major providers are already taking advantage of advanced analytics to enhance their fraud detection toolkit. That might involve drawing on alternative

data sources – such as purchasing history, tracking social media activities, and phone usage data – or using information about a customer’s device type and location to validate the authenticity of a transaction. But across the payments sector as a whole, the use of advanced analytics is still at its infancy stage.

AI in Fraud Management Outlook by Category

By Solution:

  • AI-powered Fraud Prevention Software
    • Cloud-based
    • On-Premises
  • Services
    • Professional Services
      • Risk Assessment Services
      • Fraud & Risk Consulting
      • Integration & Implementation
      • Support & Maintenance
    • Managed Services

By Application:

  • Identity Theft Protection
  • Payment Fraud Prevention
  • Anti-Money Laundering
  • Others

By Enterprise Size:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

By Industry:

  • BFSI
  • IT & Telecom
  • Healthcare
  • Government
  • Education
  • Retail & CPG
  • Media & Entertainment
  • Others

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East and Africa (MEA)

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About Future Market Insights, Inc.

Future Market Insights, Inc. is an ESOMAR-certified business consulting & market research firm, a member of the Greater New York Chamber of Commerce and is headquartered in Delaware, USA. A recipient of Clutch Leaders Award 2022 on account of high client score (4.9/5), we have been collaborating with global enterprises in their business transformation journey and helping them deliver on their business ambitions. 80% of the largest Forbes 1000 enterprises are our clients. We serve global clients across all leading & niche market segments across all major industries.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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