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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!

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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.

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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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Triskell Software unveils new AI capabilities in its 2026 SP2 Release

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MADRID, Oct. 30, 2026 /PRNewswire/ — Triskell Software, a leading provider of Project Portfolio Management (PPM) and Strategic Portfolio Management (SPM) solutions, announces an expansion of its artificial intelligence capabilities with the release of Triskell 2026 SP2.

Building on previous innovations, Triskell Software integrates enhanced AI capabilities into everyday workflows, enabling organizations to analyze portfolio information, automate routine operations, optimize resource allocation, and interact with project data using natural language.

The update also introduces the Triskell MCP Server, enabling organizations to connect compatible external AI assistants to their Triskell environment.

AI-Powered Project and Portfolio Management
Through the Triskell AI Assistant, users can analyze project data, generate summaries and charts, identify resource constraints, and support portfolio decision-making using natural-language instructions.

The assistant also simplifies everyday operations, including creating project objects, updating timesheets, generating SQL queries, configuring business rules, and translating or summarizing content.

“One of our main objectives with AI is to make portfolio management more intuitive and accessible. We want users to spend less time navigating data and performing repetitive tasks, and more time making decisions that create business value,” explains Angel Garcia, CEO of Triskell Software.

Triskell MCP Server: Connecting PPM with external AI Assistants
One of the most significant innovations is the Triskell MCP Server, built on the Model Context Protocol (MCP), an open standard connecting AI applications with external systems.

It enables compatible AI assistants to retrieve project information, analyze portfolio data, and execute supported actions directly through conversational interfaces, without constantly switching applications.

For example, users can ask an external AI assistant to retrieve project information, review attributes, create project objects, or record timesheet entries.

“The introduction of the Triskell MCP Server is an important step in our AI strategy. By extending Triskell beyond its traditional interface, we are making portfolio information more accessible through the AI tools and workflows organizations increasingly use,” adds Angel Garcia.

AI tailored to business needs
This new release also introduces an AI Knowledge Base, enabling organizations to upload corporate documentation and obtain contextualized responses using Retrieval-Augmented Generation (RAG) technology.

Additionally, Custom AI Skills allow administrators to configure specific AI instructions for different business contexts, adapting how the assistant interprets project and portfolio information.

To strengthen data governance, the new Data Security module allows administrators to exclude sensitive attributes from information shared with external AI providers.

Organizations can also choose between Triskell’s built-in OpenAI provider and other supported providers, including Anthropic, Google Gemini, and Mistral.

These enhancements reinforce Triskell Software’s commitment to making portfolio management more intelligent, connected, and efficient while helping organizations improve decision-making and align strategic objectives with execution.

About Triskell Software
Triskell is an enterprise solution focusing on Strategy Execution Management with advanced Project Portfolio Management features, helping to fill the gap between planning and proper execution. Triskell allows companies to plan, prioritize, manage and monitor their organization’s initiatives from one centralized platform.

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Pudu Robotics Opens European Headquarters in Germany to Support Continued Growth Across the Region

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NEUSS, Germany, Oct. 30, 2026 /PRNewswire/ — Pudu Robotics, a global leader in commercial robotics, today announced the opening of its European headquarters in Neuss, Germany, strengthening its local operating capabilities as its business continues to expand across the region.

The new headquarters brings together sales, product demonstrations, training, warehousing and after-sales services, reinforcing Pudu Robotics’ investment in the local infrastructure and customer support needed to scale robotic deployments across European markets.

Strong Growth and Scaled Deployments Across Europe

Pudu Robotics’ business spans more than 20 countries across Europe, reflecting its expanding presence throughout the region. Over the past two years, markets including Germany, Austria, Switzerland, France, the Netherlands, Norway, the United Kingdom, Spain, Italy, the Czech Republic and Poland have each recorded annual business growth of more than 60%.

The company serves customers across 16 industries, including retail, food and beverage, hospitality, healthcare, transportation, education, and more. Its European customers include leading retailers and hospitality groups such as EDEKA, Albert Heijn, Carrefour, Marriott, Van der Valk, Pizza Hut, Intermarché and Denner, as well as major transportation hubs such as Paris Charles de Gaulle Airport.

A notable example is Denner, a leading Swiss supermarket chain, which has deployed more than 200 PUDU CC1 Series cleaning robots across its store network. The deployment illustrates how autonomous cleaning can scale in demanding retail environments, where reliability, store-specific workflows and consistent service support are essential.

Supporting deployments of this scale requires more than supplying robotic equipment. Pudu works with customers to adapt deployment plans to store layouts and operating patterns, while providing technical assistance and ongoing operational support. This combination helps customers integrate robotic cleaning into daily operations and expand its use across their businesses.

Building Local Capabilities to Support Customers

Pudu Robotics’ European growth is supported by an operating model built around local teams, regional partners and service infrastructure. The company continues to invest in local capabilities to strengthen collaboration with customers and partners and provide support throughout the deployment lifecycle.

Across Europe, Pudu has nearly 50 sales professionals supporting channel partners and customer projects, alongside nearly 40 technical support personnel serving different markets and deployments. Its local infrastructure includes a service center in Germany and warehousing facilities in the Netherlands and Germany for whole-robot inventory and spare parts, helping support delivery coordination and service responsiveness.

The company also works closely with local distributors, system integrators and service providers to support market development, deployment and ongoing maintenance. Within its European subsidiaries, Pudu has established local organizational structures and operational objectives, with continued investment in sales and service teams, warehousing and local service networks.

By combining local market knowledge and service capabilities with its global technical resources, Pudu aims to help customers deploy robotic solutions more effectively across diverse operating environments. Multilingual support in English, German, French, Spanish, Italian and other languages further facilitates collaboration across the region.

A Regional Hub for the Next Phase of Growth

Located in Neuss, Germany, the new European headquarters brings together office operations, a product showroom, warehousing, training, sales, after-sales service and repair capabilities, all of which are now operational. The facility supports product demonstrations, customer engagement, distributor training and local service delivery, while providing a hub for coordinating regional business activities.

The headquarters complements Pudu Robotics’ existing European offices, partner network and warehousing infrastructure in the Netherlands and Germany. Together, these resources strengthen coordination across sales, deployment and after-sales support, providing a foundation for continued growth across the region.

Looking ahead, Pudu Robotics will continue to develop its local operating capabilities, deepen collaboration with regional partners and expand the application of its robotic solutions across industries, supporting customers as robotics becomes increasingly integrated into everyday operations.

“Europe is an important growth market for Pudu Robotics. As adoption expands, customers need more than reliable robotic solutions—they need local teams and service capabilities that can support deployment and ongoing operations over the long term. Our European headquarters in Neuss strengthens our ability to work closely with partners and customers across the region and support the next phase of our growth,” said Bella Sun, Vice President and General Manager for Europe at Pudu Robotics.

About Pudu Robotics

Pudu Robotics is a global commercial robotics leader dedicated to empowering easier work and better lives through AI and robotics, with a vision of building a global intelligent robotics infrastructure serving 10 billion people worldwide.

Pudu has pioneered a “One Brain, Multiple Embodiments” architecture spanning specialized, semi-humanoid, and humanoid robots. Pudu develops robotic solutions across commercial and home robotics, with a portfolio spanning service delivery, commercial cleaning, industrial delivery, general embodied AI, commercial grounds care, and consumer lawn care.

With over 130,000 robots shipped and a presence in more than 85 countries and regions, Pudu serves customers across diverse industries, including retail, hospitality, manufacturing, healthcare, real estate and property services, education, entertainment and sport, and public services.

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SOURCE Pudu Robotics

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As AI Gets Smarter, Healthcare Education Must Get More Human

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WHITTIER, Calif., Oct. 30, 2026 /PRNewswire/ — As artificial intelligence becomes increasingly integrated into healthcare, the next generation of healthcare professionals will need more than technological proficiency. They will need stronger critical thinking, clinical judgment, and interpersonal skills to ensure that advances in technology translate into better care for patients, according to Tamara Rozhon, EdD, Provost of Southern California University of Health Sciences (SCU).

AI is already helping healthcare professionals analyze medical images, support clinical decisions, and advance research. The U.S. Food and Drug Administration maintains a list of AI-enabled medical devices authorized for marketing, while the World Health Organization identifies applications across clinical care, drug development, and health systems management.

As access to information expands, Rozhon says that educators must place greater emphasis on how students evaluate and apply it. Future healthcare professionals need to assess the evidence, recognize potential bias and error, consider ethical concerns, and determine whether an AI-generated finding makes sense for an individual patient.

“The best healthcare requires not just understanding patient data, but understanding patients: their individual circumstances, preferences, goals, aspirations, and all the factors that may be supporting or hindering their health and well-being,” Rozhon says.

For educators, this means designing learning experiences and assessments that require students to question and defend an answer and make sound decisions in the context of a real person. Clinical experiences must also strengthen listening, empathy, communication, judgment, and connection. These abilities become increasingly important as technology takes on more of the work of generating and synthesizing information.

“Perhaps the greatest challenge for health sciences education, then, is not keeping pace with artificial intelligence. It is developing the human intelligence required to use it well,” says Rozhon.

Read Rozhon’s full perspective: “As AI Gets Smarter, Healthcare Education Must Get More Human.”

About Southern California University of Health Sciences

Southern California University of Health Sciences (SCU) is one of the world’s only Integrative, Whole Health universities—teaching students to blend the best of conventional medicine with proven complementary approaches, and to treat the whole person (body, mind, and spirit). Founded in 1911, SCU has been challenging convention and pushing healthcare forward for more than 100 years. Today, the institution offers graduate, undergraduate, and certificate programs in a wide range of disciplines, including Chiropractic, Sports Medicine, Physical & Occupational Therapy, Genetic Counseling, Genetics & Genomics, Medical Science, Physician Assistant, Ayurveda, Acupuncture & Chinese Herbal Medicine, Clinical Psychology, Whole Health Leadership, and beyond. Learn more at scuhs.edu.

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SOURCE Southern California University of Health Sciences

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