Fintech PR
AI-Based Fraud Detection Tools Market Surges with 15.9% CAGR – Industry Insights & Future Trends | Valuates Reports
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:
- IBM
- Microsoft
- Accertify
- Seon
- Kount
- Alessa
- Veridas
- Riskified
- ClearSale
- Advarisk
- Sift
- Signifyd
- Emailage
- ArkOwl
- Mastercard(Ekata)
- TruValidate
- Threatmetrix
- CyberSource
- FraudHunt
- OneSpan
- Ethoca
- Visa
- RSA Security
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HANOVER, N.H., March 25, 2025 /PRNewswire/ — Hubble Therapeutics LLC a patient-focused biotechnology company developing a gene therapy to cure pediatric blindness, announces the successful closing of a $7.3 million Series A funding round, which will advance its lead candidate, HUB-101, into human clinical trials.
Hubble Therapeutics’ gene therapy, HUB-101, targets two rare and devastating eye disorders: Leber Congenital Amaurosis (LCA16) and Snowflake Vitreoretinal Degeneration (SVD). This innovative treatment, developed by Dr. Bikash Pattnaik at the University of Wisconsin-Madison School of Medicine and Public Health and licensed from the Wisconsin Alumni Research Foundation (WARF), aims to address the root cause of these conditions. LCA16 and SVD are severe, early-onset retinal dystrophies caused by mutations in the KCNJ13 gene, which is crucial for the function of a vital ion channel in the retina’s pigment epithelium cells. These disorders typically manifest in children before the age of five, leading to progressive retinal degeneration over the following two decades and ultimately resulting in blindness.
“For over the past 20 years, my lab has developed in vitro and in vivo models of ion channelopathy to develop curative gene therapies for several devastating pediatric blindness diseases,” Dr. Bikash Pattnaik, professor in the Departments of Pediatrics, Ophthalmology and Visual Science at the University of Wisconsin–Madison, Daniel M. Albert Chair McPherson Eye Research Institute and scientific co-founder of Hubble Therapeutics LLC, “The development of the HUB-101 gene therapy for LCA16 represents not just the scientific breakthrough, but hope for patients and families affected by such devastating conditions caused by defective ion channels. As we push these therapeutic boundaries, we empower a future where innovative ion channel therapies in our lab address genetic diseases at their core.”
To date, HUB-101 has received Rare Pediatric Disease Designation and Orphan Disease Designation from the FDA for this program. It has partnered with Andelyn Biosciences in Columbus, Ohio, and Virscio in New Haven, Connecticut, to develop, manufacture, and conduct IND-enabling studies. Hubble Therapeutics expects to enter the clinic to conduct Phase I / II trials in 2026 to demonstrate the safety and efficacy of HUB-101.
“This groundbreaking research aims to restore vision in patients affected by a rare eye disease that ultimately results in complete blindness, with WARF’s investment in Hubble Therapeutics as the Series A co-lead investor, we are thrilled to continue our support for the development of a disease-modifying treatment,” says Greg Keenan, Senior Director of WARF Ventures & Accelerator and Hubble Therapeutics Board of Director. “The collaboration between Hubble Therapeutics and the pioneering research of UW-Madison inventor, Dr. Bikash Pattnaik, exemplifies the transformative potential of academic-industry partnerships and we are honored to continue our support in advancing this critical research alongside the dedicated team at Hubble Therapeutics.”
“We are grateful for our investors, leading scientists, industry experts, best-in-class partners, patient families, and the University of Wisconsin-Madison who share our commitment to realizing the promise of improving vision for patients suffering from LCA16 and SVD,” said Jeff Sabados, Founder and President of Hubble Therapeutics LLC. Sabados continued, “with our new financing and the establishment of key partnerships, we hope to scale up HUB-101 manufacturing and conduct additional IND-enabling studies to enter the clinic within the next two years to realize our steadfast, unwavering promise to support families throughout the world impacted by this devastating genetic disease.”
About Hubble Therapeutics, LLC
Hubble Therapeutics LLC (“HubbleTx”) is a patient-focused biotechnology company developing research from Professor Bikash Pattnaik’s lab at the University of Wisconsin-Madison. Our primary focus is on developing novel gene therapy for Leber Congenital Amaurosis Type 16 (LCA16) and Snowflake Vitreoretinal Degeneration (SVD), two debilitating retinal diseases that lead to severe vision loss in adult and pediatric patients. Our mission is to restore vision and improve the quality of life for affected individuals and their families by harnessing the power of gene delivery technology to target the underlying genetic mutation responsible for the disease. Our team of leading scientists, industry experts, and best-in-class partners are committed to rigorous research and clinical development, ensuring that our therapies are safe, effective, and accessible. HubbleTx strives to bring hope to those affected by this condition through collaboration and innovation. Together, we aim to illuminate the path to a brighter future for patients battling LCA16 and SVD.
For Hubble media inquiries, please contact:
jsabados@hubbletx.com
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DUBAI, UAE, March 25, 2025 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, is excited to announce the launch of Equity Trailing Stop, designed to empower traders with smarter risk control and profit protection. This intelligent tool allows users to trade with greater discipline by automating exit strategies, minimizing the potential risk of emotional pitfalls of trading.
The Equity Trailing Stop feature is available for Copy Trading Classic and is compatible with Spot Grid, Futures Grid, and Futures Combo bots, making it a versatile addition to any trading toolkit on Bybit’s one-stop trading platform.
In Copy Trading Classic, Bybit’s Equity Trailing Stop feature automatically adjusts exit points based on equity, providing protection from potential losses and effortlessly locking in profits. For Trading Bots, it recalibrates exit points to secure earnings, featuring customizable trailing parameters that align with various trading strategies.
Key Benefits:
- Automated Risk Management: Once configurated, the feature intelligently adjusts exit points based on real-time market conditions, liberating traders from the stress of constant monitoring 24/7 markets.
- Seamless Integration: This tool can be easily incorporated into Copy Trading and Trading Bots on Bybit, enhancing overall trading efficiency and risk management.
- 24/7 Trading Vigilance: With high precision execution, traders can closely monitor sharp price fluctuations and establish exact take-profit and stop-loss parameters, such as retracement rates, to protect their gains and streamline risk control.
- Enhanced Control Over Profits and Losses: The feature allows traders to time profit-taking or minimizing losses at optimal moments, effectively mitigating retracement risks while maximizing long-term portfolio growth potential.
“The Equity Trailing Stop is a diligent and powerful co-pilot for traders who use automation and algorithm trading as part of their strategies. The new tool simplifies risk management, allowing Bybit users to stay disciplined and focused on their trading goals. This addition to our trading suite is part of our commitment to providing innovative solutions that enhance the trading experience,” said Joan Han, Sales and Marketing Director of Bybit.
To activate the feature, traders can set an Equity Trailing Stop percentage ranging from 5% to 99% when configuring Copy Trading parameters or creating a bot. This protective feature monitors positions and, once triggered, automatically closes any active Copy Trading positions or terminates running bots to help manage risk exposure. The Equity Trailing Stop operates by calculating exit equity through continuous updates based on the highest recorded equity in an account, ensuring the ability to capitalize on market movements while safeguarding investments.
Users may find out more at: Introducing Equity Trailing Stop: Smarter Risk Control & Profit Protection.
#Bybit / #TheCryptoArk
Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 60 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.
For more details about Bybit, please visit Bybit Press
For media inquiries, please contact: media@bybit.com
For updates, please follow: Bybit’s Communities and Social Media
Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube
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Fintech PR
Insurance Platform Market worth $ 207.52 billion by 2030- Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., March 25, 2025 /PRNewswire/ — The Insurance Platform Market is slated to expand from USD 116.16 billion in 2025 to USD 207.52 billion by the year 2030 at an impressive CAGR of 12.3% over the forecast period, according to a new report by MarketsandMarkets™.
Browse in-depth TOC on “Insurance Platform Market”
220 – Tables
72 – Figures
410 – Pages
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Scope of the Report
|
Report Metric |
Details |
|
Market size available for years |
2020–2030 |
|
Base year considered |
2024 |
|
Forecast period |
2025–2030 |
|
Forecast units |
USD (Billion) |
|
Segments Covered |
Offering, Application, Technology, Insurance Type, End User, and Region |
|
Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
|
Companies covered |
Salesforce (US), IBM (US), Microsoft (US), Google (US), Adobe (US), Oracle (US), SAP (Germany), Pegasystems (US), Accenture (Ireland), DXC Technology (US), Guidewire Software (US), Duck Creek Technologies (US), Applied Systems (US), Fineos (Ireland), Cognizant (US), Appian (US), Verisk (US), Bolttech (US), ServiceNow (US), LexisNexis (US), Majesco (US), EIS Group (US), Insurity Inc (US), Vertafore (US), Sapiens International Corporation (Israel), Prima Solutions (France), Cogitate Technology Solutions (US), AgencySmart (US), InsureSoft (Canada), BriteCore (US), Shift Technology (France), Zipari (US), Quantemplate (UK), Jenesis Software (US), Sureify (US), OneShield (US), Ensuredit (India), Socotra (US), Coalition (US), Symbo (India), TrustLayer (US), PerfectQuote (US), Hyperexponential (UK), InsuredMine (US), and InsuredHQ (New Zealand) |
The rise of the Insurance Platform Market is being fueled by some key factors. One major driver is the wave of digital transformation sweeping across industries, prompting insurers to invest in advanced platforms that greatly enhance customer experiences, boost operational efficiency, and allow for data-driven decision-making. Additionally, the increasing demand for personalized insurance products—reflecting changing customer preferences—has encouraged the adoption of flexible and scalable solutions. The incorporation of artificial intelligence (AI), machine learning (ML), and data analytics has allowed insurers to offer dynamic pricing models, effective risk assessment tools, and automated claims processing. Regulatory shifts have also played a role, urging insurers to implement compliant platforms that come with top-notch security features. The influx of insurtech startups has further accelerated innovation and development in this area. With a focus on bettering customer engagement and streamlining their operations, investment in cloud-based and API-driven solutions is steadily increasing, marking significant growth in the Insurance Platform Market.
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By Application, the underwriting & risk management segment registers for the second-largest market share during the forecast period.
The underwriting and risk management application is expected to capture the second-largest share of the Insurance Platform Market due to its important role in evaluating risk, enhancing decision-making, and boosting operational efficiency. Cutting-edge insurance platforms that leverage AI, machine learning, and predictive analytics empower insurers to automate data analysis, leading to more accurate risk assessments. These innovative tools enable insurers to sift through massive amounts of data from diverse sources, including IoT devices, telematics, and customer profiles, ensuring that underwriting decisions are spot on. As insurers increasingly embrace data-driven approaches, platforms that provide advanced risk assessment models are becoming more popular. Moreover, the push for transparent risk evaluation processes due to regulatory requirements is prompting insurers to invest in strong underwriting solutions. The rising need for quicker policy issuance, fewer manual errors, and better fraud detection is also fueling the growth of underwriting and risk management solutions in the Insurance Platform Market.
By insurance type, specialty insurance is poised for the fastest growth rate during the forecast period.
The specialty insurance type is projected to be the fastest-growing segment in the Insurance Platform Market, fueled by an increasing need for custom coverage solutions in niche industries. Unlike traditional policies, specialty insurance covers unique risks such as cyber liability, marine and aviation risks, as well as high-value asset protection. As businesses venture into more complex markets and encounter evolving risks, insurers are turning to advanced platforms to create personalized solutions that cater to individual client needs. Digital platforms outfitted with data analytics, artificial intelligence (AI), and automation are enhancing risk assessment, pricing, and claims management for these specialized policies. Moreover, with the rise in cyber threats, environmental risks, and the complexities of global trade, the demand for specialty insurance is on the rise. Insurers are ramping up investments in flexible platforms that not only streamline underwriting processes but also improve customer interaction, further propelling the swift growth of the specialty insurance segment within the Insurance Platform Market.
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By Region, North America accounts for the largest market during forecast period.
North America is expected to maintain the largest market share within the Insurance Platform Market because of its sophisticated technological framework, high adoption rate of digital products, and prominent presence of well-established insurers. Insurers in the region are investing in new platforms to improve customer experience, simplify operations, and enhance risk assessment. Rising interest in data-driven insights, powered by the convergence of artificial intelligence (AI), machine learning (ML), and big data analytics, has further stimulated platform adoption. Moreover, the availability of a comprehensive regulatory framework makes insurers invest in compliant and secure digital technologies. Increasing usage of cloud-based platforms and API-based architectures is also driving the market’s growth. The rise of cloud-based platforms and API-driven architectures is also driving market growth. On top of that, North America’s vibrant insurtech ecosystem, marked by ongoing innovation and collaborations between traditional insurers and tech startups, is crucial in enhancing platform capabilities and reinforcing the region’s leadership in the Insurance Platform Market.
Top Key Companies in Insurance Platform Market:
The major players in the Insurance Platform Market include Salesforce (US), Google (US), Adobe (US), Microsoft (US), Oracle (US), Guidewire Software (US), Duck Creek Technologies (US), IBM (US), Pegasystems (US), and Accenture (Ireland).
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About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s Best Management Consulting Firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe.
Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem.
The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts.
In addition, MarketsandMarkets SalesIQ enables sales teams to identify high-priority accounts and uncover hidden opportunities, helping them build more pipeline and win more deals with precision.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter , LinkedIn and Facebook .
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