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AI-Based Fraud Detection Tools Market Surges with 15.9% CAGR – Industry Insights & Future Trends | Valuates Reports

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BANGALORE, India, March 21, 2025 /PRNewswire/ — AI-Based Fraud Detection Tools Market is Segmented by Type (On-Premise, Cloud Based), by Application (Large Corporation, SMEs).

The Global Market for AI-Based Fraud Detection Tools was valued at USD 3670 Million in the year 2024 and is projected to reach a revised size of USD 10170 Million by 2031, growing at a CAGR of 15.9% during the forecast period.

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Major Factors Driving the Growth of AI-Based Fraud Detection Tools Market:

The global AI-based fraud detection tools market continues to expand as businesses and governments acknowledge the escalating threat of financial crimes. Rising awareness of the costs associated with fraud, including chargebacks, reputational damage, and regulatory penalties, drives sustained demand for sophisticated analytics platforms. AI solutions rapidly process vast datasets to identify hidden patterns, delivering near-instant insights that fortify security measures. Competition among vendors prompts innovation, resulting in increasingly tailored offerings that cater to diverse industries such as banking, retail, and telecommunications. Partnerships and mergers within the technology sector further enhance solution capabilities, facilitating seamless integration with existing infrastructures. As businesses intensify their digital transformation efforts, the need for robust, adaptive AI-based fraud detection is poised to remain a crucial market force.

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TRENDS INFLUENCING THE GROWTH OF THE AI-BASED FRAUD DETECTION TOOLS MARKET:

Cloud-based solutions play a pivotal role in driving the growth of AI-based fraud detection tools by providing scalable infrastructure, automated updates, and cost-efficient deployment models. With cloud-based platforms, organizations can quickly access real-time analytics and leverage powerful machine learning algorithms to identify anomalous activities. This flexible approach streamlines processes, reduces operational overheads, and ensures seamless software upgrades, enabling businesses to stay ahead of evolving threats. By eliminating the need for complex on-premise hardware, cloud-based systems empower even smaller enterprises to adopt advanced fraud detection mechanisms. Additionally, cloud providers often offer multi-layered security protocols, thereby enhancing data protection and ensuring compliance with regulations. This scalability and widespread accessibility significantly contribute to the widespread uptake of AI-driven fraud detection across industries worldwide.

On-premise deployment of AI-based fraud detection tools fuels market growth by providing organizations with direct control over their data and security protocols. Many industries, such as finance and healthcare, handle sensitive information that demands strict compliance with privacy regulations, making on-premise systems appealing. These solutions allow businesses to tailor their fraud detection models to specific operational requirements, ensuring optimal performance and faster response times. Moreover, on-premise platforms facilitate integration with existing infrastructure, reducing the complexity of cloud migration. These frameworks minimize latency concerns, enabling real-time threat detection. This heightened customization fosters reliability and trust among clients and stakeholders. Overall, on-premise adoption is propelling the expansion of AI-driven fraud detection systems, thus addressing unique organizational demands while safeguarding critical data assets.

Large corporations play a pivotal role in accelerating the AI-based fraud detection tools market by investing substantial resources in research, development, and deployment. These businesses often handle vast transaction volumes and intricate operational processes, necessitating robust solutions that can detect and mitigate sophisticated fraud attempts. By implementing cutting-edge AI technologies, large enterprises drive ongoing innovation and contribute to the refinement of predictive models, advanced data processing, and algorithmic precision. They also set industry benchmarks, demonstrating the tangible benefits of advanced analytics for reducing financial losses and reputational damage. Moreover, such corporations frequently engage with government bodies and regulatory authorities, shaping standards for fraud prevention. Their influence and partnerships foster collaboration across sectors, amplifying adoption rates and fueling continuous market expansion.

Rapid digitalization across industries is fueling adoption of AI-based fraud detection tools by creating volumes of data to be analyzed in real time. As transactions and customer interactions move to online channels, organizations face an urgent need to detect and prevent malicious activities. AI-driven systems excel at processing data sets, identifying anomalies, and flagging suspicious patterns. This capability is vital in sectors such as e-commerce and banking, where digital transactions continue to rise. With digitalization comes heightened vulnerability, leading businesses to prioritize advanced fraud prevention strategies. By automating processes and enhancing accuracy, AI solutions reduce operational costs, enabling faster responses to emerging threats and sustaining market momentum. This connectivity surge spurs investments in robust AI infrastructure, further supporting market expansion.

E-commerce expansion is a major driver for AI-based fraud detection tools, as online retailers handle immense transaction volumes and process sensitive consumer data. With digital marketplaces becoming increasingly global, fraudulent actors exploit cross-border opportunities, requiring sophisticated detection capabilities. AI-powered solutions help merchants analyze real-time behavior, identify payment anomalies, and swiftly mitigate risks. The heightened adoption of mobile commerce and digital wallets further intensifies the need for robust solutions, as cybercriminals continuously evolve tactics to bypass traditional security measures. By leveraging machine learning algorithms, e-commerce platforms can adapt to emerging threats, reducing chargebacks and safeguarding customer trust. This growth in online retail consequently accelerates investment in advanced fraud prevention technologies, ensuring sustainable market expansion worldwide. Enterprises allocate bigger budgets, ensuring coverage.

Regulatory and compliance pressure strongly influences the AI-based fraud detection tools market, as governments and industry bodies introduce stringent rules to protect consumers and maintain financial stability. Organizations must comply with data privacy standards, anti-money laundering protocols, and other directives that demand robust monitoring systems. AI-driven solutions offer real-time alerts and sophisticated analytics, enabling businesses to address compliance requirements more effectively. By automating risk assessments, these tools significantly reduce manual intervention, decreasing operational costs and mitigating potential penalties. Additionally, regulators often encourage the adoption of advanced technologies, driving further innovation in fraud prevention methods. The emphasis on accountability compels companies to invest in high-performance detection platforms. Consequently, this regulatory climate underscores the essential role of AI in safeguarding global markets.

Evolving fraud tactics continually push AI-based fraud detection tools to adapt and improve. Cybercriminals employ increasingly sophisticated methods, such as identity spoofing, account takeovers, and synthetic identities, that challenge traditional rule-based systems. AI-powered solutions remain agile by leveraging machine learning models capable of learning from historical data and adjusting to emerging threats. As criminals refine their strategies, these tools upgrade algorithms to detect subtle anomalies that may indicate malicious intent. This dynamic environment fosters a cycle of continuous enhancement, driving demand for robust and responsive solutions. Collaboration between industry stakeholders, including financial institutions and technology providers, also promotes intelligence sharing, helping stay ahead of evolving schemes. Consequently, the market for AI-based fraud detection continues to flourish worldwide.

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AI-BASED FRAUD DETECTION TOOLS MARKET SHARE

North America leads in early adoption, driven by strong investments in machine learning and data analytics within the financial sector.

Europe follows closely, emphasizing data privacy regulations that shape fraud detection requirements.

In the Asia-Pacific region, rapid digital growth, rising e-commerce activities, and large unbanked populations create ample opportunities for innovative fraud prevention strategies.

Key Companies:

IBMMicrosoftAccertifySeonKountAlessaVeridasRiskifiedClearSaleAdvariskSiftSignifydEmailageArkOwlMastercard(Ekata)TruValidateThreatmetrixCyberSourceFraudHuntOneSpanEthocaVisaRSA Security

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–          Artificial Intelligence (AI) in BFSI market was valued at USD 1436 Million in 2023 and is anticipated to reach USD 4262.6 Million by 2030, witnessing a CAGR of 19.2% during the forecast period 2024-2030.

–          Fraud Detection and Prevention Market

–          Web-Based Fraud Detection and Prevention Market

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–          AI Fraud Detection Market was valued at USD 9624 Million in the year 2024 and is projected to reach a revised size of USD 16930 Million by 2031, growing at a CAGR of 9.4% during the forecast period.

–          Transaction Fraud Detection System Market was estimated to be worth USD 27760 Million in 2023 and is forecast to a readjusted size of USD 641010 Million by 2030 with a CAGR of 12.8% during the forecast period 2024-2030.

–          AI Anti-Fraud Service  Market was valued at USD 15470 Million in the year 2024 and is projected to reach a revised size of USD 28010 Million by 2031, growing at a CAGR of 8.8% during the forecast period.

–          AI Content Detector Market

–          AI in Fraud Management Market was valued at USD 3884 Million in the year 2024 and is projected to reach a revised size of USD 5298 Million by 2031, growing at a CAGR of 4.6% during the forecast period.

–          AI in Fintech Market

–          Identity Threat Detection and Response (ITDR) Market

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Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.

Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.

To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.

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VERNAL CAPITAL ACQUISITION CORP. ANNOUNCES PRICING OF $100 MILLION INITIAL PUBLIC OFFERING

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May 6, 2026

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NEW YORK, May 5, 2026 /PRNewswire/ — Vernal Capital Acquisition Corp. (NYSE: VECA) (“Vernal”) announced the pricing of its initial public offering (the “IPO”) of 10,000,000 units at $10.00 per unit. The units are expected to trade on the New York Stock Exchange (“NYSE”) under “VECAU” beginning May 6, 2026. Each unit consists of one ordinary share and one right to receive one-fourth of one ordinary share upon consummation of an initial business combination. Upon separate trading, the ordinary shares and rights are expected to be listed on NYSE under “VECA” and “VECAR,” respectively.

D. Boral Capital LLC is acting as sole book-running manager of the offering. The underwriters have a 45-day option to purchase up to 1,500,000 additional units to cover any over-allotments. The offering is expected to close on May 7, 2026, subject to customary closing conditions.

A registration statement for these securities was declared effective by the SEC on May 5, 2026. The offering is made only by means of a prospectus. Copies of the prospectus may be obtained, from D. Boral Capital LLC, 590 Madison Ave., 39th Floor, New York, New York 10022, by telephone at (212) 970-5150 or by email at dbccapitalmarkets@dboralcapital.com.

This press release shall not constitute an offer to sell or to buy, nor shall there be any sale where such offer, solicitation or sale would be unlawful prior to registration or qualification under the applicable securities laws.

About Vernal

Vernal is a blank check company formed to effect a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. Vernal’s target search will not be limited to a particular industry or geographic region.

Forward-Looking Statements

This press release contains “forward-looking statements,” including statements regarding Vernal’s IPO. These statements are subject to risks and uncertainties that could cause actual results to differ materially. No assurance can be given that the offering will be completed on the terms described, or at all. Forward-looking statements are subject to numerous conditions, beyond Vernal’s control, including those in the Risk Factors section of Vernal’s registration statement filed with the SEC. Copies are available on the SEC’s website, www.sec.gov. Vernal disclaims any obligation to release publicly updates or revisions to any forward-looking statements to reflect any change in Vernal’s expectations, except as required by law.

Contact

Binghan Yi, CFO
binghan@vernal.com
www.vernalspac.com

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SOURCE Vernal Capital Acquisition Corp.

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RIVANNA nominated for MedTech Scale-Up of the Year at MedTech World Awards 2026 | North America

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2 hours ago

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May 5, 2026

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Nomination places the Charlottesville-based company among growth-stage medtech leaders recognized for commercial momentum in AI-powered clinical decision support; public voting is open through May 8

CHARLOTTESVILLE, Va., May 5, 2026 /PRNewswire/ — RIVANNA®, developer of AI-powered clinical decision-support solutions, today announced that it has been nominated for MedTech Scale-Up of the Year at the MedTech World Awards 2026 | North America. Public voting is open through Friday, May 8, 2026, with category winners to be announced at the inaugural North American Awards Gala on May 11, 2026, at the Hilton West Palm Beach in Florida.

The MedTech Scale-Up of the Year category honors a growth-stage company successfully scaling revenues, partnerships, and adoption across the global medical technology ecosystem. Nominees across the program’s 22 categories were selected through a structured process led by the MedTech World Steering Committee, with category winners determined by a combination of expert evaluation and public voting from the global MedTech community.

“We have built RIVANNA on validation earned from the most rigorous technical buyers in healthcare: competitive federal awards translated into FDA-cleared products, each paired with a commercial program that meets clinicians where they work,” said Will Mauldin, PhD, Co-founder and CEO of RIVANNA. “Being nominated for MedTech Scale-Up of the Year is a meaningful affirmation of that approach and the team executing it.”

Public voting closes Friday, May 8, 2026. Members of the MedTech community are invited to support RIVANNA’s nomination at the official voting page: vote here.

The award nomination follows a year of measurable scaling for RIVANNA:

In October 2025, RIVANNA reported on being named a finalist in MedTech Innovator’s 2025 Early-Stage Grand Prize competition, selected from nearly 1,500 global applicants to represent the top 4% of medtech innovations worldwide.In December 2025, RIVANNA reported on the U.S. Food and Drug Administration’s 510(k) clearance of its Accuro® 3S Needle Guide Kit consumables, building on existing Accuro 3S device clearance.In April 2026, RIVANNA reported on peer-reviewed findings, published in 2025 in the Journal of Emergency Medicine (DOI: 10.1016/j.jemermed.2025.11.011), showing that the Accuro® XV musculoskeletal imaging system enables non-physician operators to acquire diagnostic-quality scans after just one hour of hands-on training.In May 2026, RIVANNA reported on the U.S. Food and Drug Administration’s 510(k) clearance of the Accuro® XV Diagnostic Ultrasound System for musculoskeletal imaging, authorizing commercial use across hospital and clinic settings.The company’s clinical program now spans eight sites nationwide with more than 1,500 patients enrolled.

The 2026 MedTech World Awards | North America, powered by Blue Goat Cyber, will be presented Monday, May 11, 2026, at the inaugural North American Awards Gala at the Hilton West Palm Beach, marking the first time the MedTech World Awards have been hosted in the United States.

About the MedTech Scale-Up of the Year Award
Presented by MedTech World, the MedTech Scale-Up of the Year category recognizes growth-stage medical technology companies demonstrating strong commercial momentum, expanding partnerships, and accelerating real-world adoption. The award is one of 22 categories spanning innovation, clinical excellence, regulatory strategy, investment, and leadership across the global MedTech ecosystem.

About RIVANNA
RIVANNA® is a medical technology company developing clinical decision-support solutions powered by proprietary clinical datasets, AI models, and purpose-built imaging hardware. The company’s platform automates complex anatomical analysis at the point of care, enabling faster, more confident clinical decisions while reducing variability and expanding access to advanced capabilities. The first applications target significant market opportunities in regional anesthesia and fracture care. RIVANNA has built a proven FDA regulatory track record across its Accuro® platform, with device clearances for Accuro® 3S (spinal needle guidance) and Accuro® XV (musculoskeletal imaging), a portfolio of supporting cleared consumables, and AI software modules advancing through regulatory review. The company is backed by 100+ patents and validated through clinical partnerships with leading academic medical centers. RIVANNA is headquartered in Charlottesville, Virginia, and operates an FDA-registered, ISO 13485:2016-certified manufacturing facility. Learn more at rivannamedical.com.

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D2L Launch Week Highlights Latest Product Releases

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May 5, 2026

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Latest innovations are designed to save time, simplify workflows, and help drive better learning outcomes

TORONTO, May 5, 2026 /PRNewswire/ – D2L, a global leader in learning innovation, hosted its first-ever D2L Launch Week, a four-day virtual webinar series spotlighting the company’s latest product innovations across D2L Brightspace in 2026.

Throughout the week, D2L showcased a range of product releases through live demos and practical customer use cases, highlighting how institutions, school districts and organizations can help to drive engagement and improve learning outcomes. The featured updates include enhancements to D2L Lumi for idea generation, intervention suggestions, quiz creation and summarization; tools to strengthen parent and guardian outreach; and administrative capabilities designed to help large organizations delegate course and configuration management more effectively.

“We’re proud to showcase the ways D2L continues to innovate to help make learning more personalized, efficient, and scalable,” said Christian Pantel, Chief Product Officer at D2L. “From new D2L Lumi features to enhanced communication tools and more flexible distributed administration capabilities, these updates are designed to help our customers save time, improve usability, and deliver better learning experiences at scale.”

Enhancements to D2L Lumi

Among the new capabilities were several updates to D2L’s AI-native tool, D2L Lumi, designed to improve usability, transparency, and alignment across workflows, including:

D2L Lumi Ideas: Generates assignment and discussion ideas directly within Brightspace, making it easier to generate high quality content aligned to learning outcomes.D2L Lumi Insights: Gives educators access to learning intervention suggestions, designed to provide recommended next steps based on learner data.D2L Lumi Quiz: Helps educators generate questions from multiple course content topics and includes a more streamlined question-generation workflow.D2L Lumi Summary: Supports summarization from more content sources, including nested submodules, and can give educators the ability to preview and adjust source text before summarization.

Updates to Parent and Guardian Communications

D2L also introduced new parent and guardian communication enhancements to help K-12 educators strengthen engagement beyond the classroom. Teachers can now send bulk emails to all parents and guardians associated with students in their class. For individual student outreach, teachers can also email parents and guardians of a specific learner, making it easier to share timely updates on student progress and classroom activity.

Manage Distributed Administration at Scale

Distributed Administration gives organizations more flexibility to delegate administrative responsibilities across organization levels. With Distributed Administration, administrators can manage specific areas, enabling them to oversee courses while helping to reduce bottlenecks and free up time.

Learn more about the latest product releases showcased at D2L Launch Week.

About D2L   
D2L is transforming the way the world learns, helping learners achieve more than they dreamed possible. Working closely with customers all over the world, D2L is on a mission to make learning more inspiring, engaging and human. Find out how D2L helps transform lives and delivers outstanding learning outcomes in K-12, higher education and businesses.

D2L Media Contact
PR@D2L.com
X: @D2L
© 2026 D2L Corporation.

The D2L family of companies includes D2L Inc., D2L Corporation, D2L Ltd, D2L Australia Pty Ltd, D2L Europe Ltd, D2L Asia Pte Ltd, D2L India Pvt Ltd, D2L Brasil Soluções de Tecnologia para Educação Ltda and D2L Sistemas de Aprendizaje Innovadores, S. D2 R.L de C.V., and H5P Group AS.

All D2L and H5P marks are owned by the D2L group of companies. Please visit D2L.com/trademarks for a list of D2L marks. All other trademarks are the property of their respective owners.

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