The Agentic AI in Prevention & Fraud Detection Market size was valued at USD 5.2 billion in 2024 and is expected to reach USD 109.9 billion by 2032, growing at a CAGR of 46.28% during 2025-2032.
The agentic AI in prevention & fraud detection market growth is driven by the rise of digital transactions, increasingly complex cyber threats, and growing regulatory demands for compliance. Agentic AI is being adopted by companies in BFSI, retail, healthcare, and government to create real-time autonomous agents for fraud detection and risk mitigation. The machine learning technology is driving the market and is expected to set the stage for significant growth with the decreasing 3D static nature of reports, which drives real-time analytics along with a growing need for integration of machines and systems for AI with legacy systems for fraud analytics and identity authentication.
The agentic AI in the prevention & fraud detection market analysis points towards the rise in the tendency to use self-learning and predictive systems to mitigate the changing fraud patterns. As digital ecosystems expand, the agentic AI in prevention & fraud detection market analysis trends some trends predicting a strong growth trajectory for the Agentic AI in Prevention & Fraud Detection Market by deployment, scalable and explainable AI in cloud solution
The U.S. agent AI in the prevention & fraud detection market is estimated to be valued at approximately USD 1.56 billion in 2024 and is anticipated to reach a market value of USD 32.0 billion by 2032, growing at a CAGR of 45.9% over the forecast period. The rising sophistication of cyber threats, increasing adoption of AI-driven security solutions, and the need for real-time threat detection and response are some of the key driving factors for market growth. Some of the major drivers of the market are increased sophistication of cyber threats, increasing penetration of cloud-based security solutions, and growing demand for automated threat detection.
Drivers:
Surge in Real-Time Digital Transactions Drives Need for Instant Fraud Detection
As digital payments and online services continue to explode, there is an ever-growing need for sophisticated fraud detection systems. Traditional Fraud Prevention Lags Risk/Reward Balance Real-time financial services become the norm, and traditional fraud methods fall short when it comes to speed and accuracy. Agentic AI solutions that can learn and make decisions on their build in the proactive threat identification and the instant identification of any anomaly. Fraud detection systems dig through huge amounts of data from various channels like banking, e-commerce, and health care to find trends among behaviors that will likely lead to fraud with a high degree of accuracy. This growing appetite has prompted investment in AI-enabled platforms that combine fraud analytics, biometric authentication, and risk governance. In particular, the U.S. is witnessing mass adoption across banking and insurance.
For instance, A 2024 report revealed that 94% of global fraud executives observed a rise in real-time payments, with 80% reporting an uptick in mule activity associated with these transactions.
Restraints:
High Implementation and Integration Costs Limit Adoption Among Smaller Enterprises
Despite strong fraud prevention abilities, the agentic AI needs a high initial investment in its deployment, which can be difficult for SMEs. Implementing these systems requires more than just the transaction of advanced software, but heavy integration with current IT infrastructures, data migration, employee training, and maintenance in the long term. Ensuring interoperability with legacy systems is still a big challenge for traditional institutions. Or, some organizations may experience regulatory and compliance complexities that drive total deployment costs up. The combination of these financial and technical constraints not only ensnares adoption, especially in developing markets and industries operating with scant IT budgets, but also limits the sizeable market opportunity for promising technology.
For instance, a 2024 survey by Builder.ai revealed that 27% of the U.S. small and medium-sized businesses (SMBs) identified high costs as a primary concern when considering AI adoption.
Opportunities:
Rise of Explainable AI Creates Opportunities for Regulatory Compliance and Trust
As more governments and regulators get into the game, they are pushing for transparency in the output of AI-based decision-making, especially in sectors where sensitive data is being exchanged, like finance, insurance, and healthcare. This presents an enormous market opportunity for agentic AI platforms with explainable AI functionalities that include audit trails, justifications for fraud alerts, and compliance documentation.
It has also enabled organizations to not only better detect fraud but also provide proof of compliance with regulations, such as Global Data Protection Regulation, California Consumer Privacy Act, and anti-money laundering laws. There is already a growing impetus for AI systems that provide both real-time prevention and ex post regulatory accountability, and that is accelerating adoption. In this rapidly evolving market, vendors who emphasize ethical AI and explainability can find themselves with a competitive edge.
For Instance, A 2024 Forrester report indicates that 55% of business and technology professionals have implemented XAI in their organizations, with an additional 13% planning adoption within the next 12 months.
Challenges:
Data Privacy and Ethical Concerns Challenge AI Adoption and Public Trust
Using agentic AI for fraud detection calls for deep access to troves of personal and financial data, which raises serious privacy, data security, and ethical AI deployment issues. The abuse or mismanagement of data may result in a regulatory fine and loss of customer confidence. AI algorithms can thus be biased and yield false positives, unfairly targeting some user or transaction types. Developers and institutions find it tough to maintain fairness, transparency, and security of AI models.
With growing regulatory scrutiny on the ungoverned application of AI with bad data, driven by the widespread misinformation and disinformation, the challenge of low trust on the efficacy of data-driven decisions will make the cost of current avoidance strategies higher. Instead, application of responsible AI frameworks, data governance principles, and privacy-preserving technologies is imperative for companies to address these disruptive risks and sustain credibility.
For instance, according to the Pew Research Center, 70% of the U.S. adults express little to no trust in companies to make responsible decisions about AI usage, underscoring a significant trust gap.
By Component:
The Solution segment dominated the market in 2024 and accounted for 75% of the agentic AI in prevention & fraud detection market share, owing to the growing demand for real-time fraud analytics, authentication systems, and compliance tools in banking, financial services, and insurance (BFSI) and retail sectors. Organizations move toward autonomous, AI-driven solutions for detecting and blocking sophisticated fraud patterns. Explainable AI and decision intelligence, showing growing adoption of all the sub-categories in the segment.
The Services segment is expected to record the fastest CAGR, driven by increasing demand for specialized implementation, integration, and continuous support of agentic AI systems. While enterprises are looking at more sophisticated fraud detection platforms, they are increasingly depending on professional and managed services to ensure seamless deployment. The growing momentum of this trend will be further strengthened by 2032.
By Application:
The identity theft segment dominated the agentic for prevention and fraud detection market and accounted for a significant revenue share in 2024, owing to the rise in online banking, digital onboarding, and remote or contactless transactions, which increase the risk of identity-related threats. As synthetic identity fraud and phishing cases rise, agentic AI is more widely used for biometric verification and behavioral analysis. And it is likely to remain so as ID protection moves to the core of digital trust frameworks.
The Payment Fraud segment is estimated to grow at the fastest rate, due to the rapid growth of e-commerce, mobile wallets, and real-time payment systems. Such channels are regular victims of transaction spoofing and card-not-present fraud. This segment is set to grow quickly through 2032 across banking, retail, and fintech ecosystems, as Agentic AI allows for dynamic fraud detection over high-speed payment environments.
By Enterprise Size:
The Large Enterprises segment dominated the agentic AI in prevention & fraud detection market and accounted for 79% of revenue share in 2024, owing to the presence of large budgets, mature IT infrastructure, and immediate regulatory requirements. Such organizations look to exceed comprehensive agentic AI systems to protect huge databases of transactions and customer networks. Ongoing innovation in scalable fraud analytics, compliance automation, and internal threat detection will enable their sustained dominance across BFSI, telecom, and healthcare sectors until 2032.
Cloud-based and cost-effective agentic AI solutions will become more accessible, enabling the fastest CAGR for the SMEs segment. Demand is driven by increasing cyber threats and the rapid adoption of digital channels, where lower footprint fraud prevention solutions are needed. The managed services help in reducing the entry barriers, and therefore, the investment in AI-powered protection is going to be higher among the SMEs through the year 2032, owing to the higher cost efficiencies that can be obtained, especially in the retail, fintech, and logistics verticals.
By End-Use:
The BFSI segment dominated the agentic AI in prevention & fraud detection market in 2024 and accounted for a significant revenue share, due to higher exposure to financial fraud, stringent regulatory mandates, and the early adoption of AI-driven risk management strategy solutions. Transaction monitoring, anti-money laundering, and identity verification are all heavily deployed areas for agentic AI. The BFSI (banking, financial services, and insurance) sector will maintain its leadership position until 2032, in both developed and emerging markets, with ongoing investment in AI compliance and fraud prevention.
The Retail and E-commerce segment is expected to register the fastest CAGR during the forecast period, as the digital payments ecosystem has exploded in recent years with omnichannel transactions, while promo abuse, fake returns, and account takeover cases have also increased. Agentic AI provides a real-time protective layer that spans checkout, payment, and loyalty systems. As consumer activity has surged online, the adoption of fraud detection AI for retail will continue growing rapidly through 2032.
North America leads the agentic for prevention and fraud detection market in 2024 and accounted for 38% of revenue share. Due to the presence of advanced digital infrastructure, early technology adoption, and stringent regulatory frameworks covering fraud-related activities, including Guidelines on the Security of Processing and Payment Card Industry Data Security Standard. Agentic AI investment trends in BFSI, e-commerce, and healthcare due to higher fraud risk exposure growth through 2032 will be driven by continually broadening cybersecurity mandates and the most recent wave of AI adoption throughout the enterprise.
Asia Pacific is projected to grow at the fastest CAGR during the forecast period, attributed to growing digitalization, real-time payments, and a boom in online fraud cases. Everyone with a stake in payment is building fraud prevention infrastructure at unprecedented speed. Due to increased adoption of AI in fintech, telecom, and retail, the region will see the most significant deployment of agentic AI solutions, particularly in developing economies, till 2032.
Banking on the booming UPI transactions, strides in digital banking & frequent frauds, India dominated the Asia Pacific agentic for prevention and fraud detection market. Government-driven initiatives and regulatory backing are propelling the adoption. India is predicted to be a leader in regional growth by 2032, primarily due to its burgeoning fintech innovation, scalable AI adoption, and a broader SME digital coverage infrastructure.
Agentic AI in Europe is experiencing robust growth in the Agentic AI in Prevention & Fraud Detection Market based on rising regulatory pressure (GDPR and the EU AI Act, focusing on transparency, data protection, and ethical AI use). Through 2032, the rapid expansion of digital banking, the growth of cross-border e-commerce, and the threat of cybercrime will push widespread adoption of AI across all industries.
The European battle for AI dominance relied on the U.K., which led the European track toward AI, complementing its step ahead in financial markets, and the prevalence of online fraud rates among its citizens was balanced out by its advanced regulatory alignment with AI ethics at a very early stage. Ongoing investments in the fintech and cybersecurity framework allow for the rapid integration of AI and will make the U.K. a domestic leader in fraud detection technology over the same period (2032).
The Major agentic AI in prevention & fraud detection market Companies are IBM Corporation, FICO (Fair Isaac Corporation), SAS Institute Inc., ACI Worldwide, BAE Systems, Experian Information Solutions, Inc., Oracle Corporation, SAP SE, NICE Ltd., Dell Inc. and others
In March 2025, Oracle introduced AI agents into its Investigation Hub Cloud Service to combat financial crime. These agents automate investigative processes, generate narratives, and recommend actions, enhancing the efficiency of financial crime investigations
In May 2025, At SAS Innovate 2025, SAS unveiled AI agents within its Viya platform, enhancing analytics and decision intelligence capabilities. These agents support responsible AI deployment and have applications in fraud prevention across various industries.
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | US$ 5.2 Billion |
| Market Size by 2032 | US$ 109.91 Billion |
| CAGR | CAGR of 46.28% From 2024 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2024-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Solution and Services) • By Application (Identity Theft, Money Laundering, Payment Fraud, and Others) • By Organization Size (SMEs and Large Enterprises), • By Vertical (BFSI, Government and Defense, Healthcare, IT and Telecom, Industrial and Manufacturing, Retail and E-commerce, and Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | IBM Corporation, FICO (Fair Isaac Corporation), SAS Institute Inc., ACI Worldwide, BAE Systems, Experian Information Solutions, Inc., Oracle Corporation, SAP SE, NICE Ltd., Dell Inc. and others in the report |
Ans- The CAGR of the Agentic AI in Prevention & Fraud Detection Market during the forecast period is 46.28% over 2025-2032.
Ans- The Agentic AI in Prevention & Fraud Detection Market size was valued at USD 5.2 billion in 2024 and is expected to reach USD 109.9 billion by 2032.
Ans- Surge in Real-Time Digital Transactions Drives Need for Instant Fraud Detection.
Ans- The Large Enterprises segment dominated the agentic for prevention and fraud detection market and accounted for 79% of revenue share in 2024.
Ans- North America region dominated the Agentic AI in Prevention & Fraud Detection Market with 38% of revenue share in 2024.
Table Of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Agentic AI in Fraud Detection, by Industry
5.2 Fraud Incidence Reduction After AI Implementation, by Region
5.3 Sector-wise Investment in Agentic AI for Fraud Prevention
5.4 Real-time Detection & Decision Efficiency, by Application Area
6. Competitive Landscape
6.1 List of Major Companies By Region
6.2 Market Share Analysis By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Agentic AI in Prevention & Fraud Detection Market Segmentation By Component
7.1 Chapter Overview
7.2 Solution
7.2.1 Solution Market Trends Analysis (2021-2032)
7.2.2 Solution Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 Fraud Analytics
7.2.3.1 Fraud Analytics Market Trends Analysis (2021-2032)
7.2.3.2 Fraud Analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Authentication
7.2.4.1 Authentication Market Trends Analysis (2021-2032)
7.2.4.2 Authentication Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.5 Governance, Risk, and Compliance
7.2.5.1 Governance, Risk, and Compliance Market Trends Analysis (2021-2032)
7.2.5.2 Governance, Risk, and Compliance Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.6 Others
7.2.6.1 Others Market Trends Analysis (2021-2032)
7.2.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2021-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.3 Professional Services
7.3.3.1 Professional Services Market Trends Analysis (2021-2032)
7.3.3.2 Professional Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.4 Managed Services
7.3.4.1 Managed Services Market Trends Analysis (2021-2032)
7.3.4.2 Managed Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Agentic AI in Prevention & Fraud Detection Market Segmentation By Application
8.1 Chapter Overview
8.2 Identity Theft
8.2.1 Identity Theft Market Trends Analysis (2021-2032)
8.2.2 Identity Theft Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Money Laundering
8.3.1 Money Laundering Market Trends Analysis (2021-2032)
8.3.2 Money Laundering Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Payment Fraud
8.4.1 Payment Fraud Market Trends Analysis (2021-2032)
8.4.2 Payment Fraud Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Others
8.5.1 Others Market Trends Analysis (2021-2032)
8.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Agentic AI in Prevention & Fraud Detection Market Segmentation By Enterprise Size
9.1 Chapter Overview
9.2 Large Enterprises
9.2.1 Large Enterprises Market Trends Analysis (2021-2032)
9.2.2 Large Enterprises Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Small and Medium Enterprises (SMEs)
9.3.1 Small and Medium Enterprises (SMEs) Market Trends Analysis (2021-2032)
9.3.2 Small and Medium Enterprises (SMEs) Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Agentic AI in Prevention & Fraud Detection Market Segmentation by End-Use
10.1 Chapter Overview
10.2 Government and Defense
10.2.1 Government and Defense Market Trends Analysis (2021-2032)
10.2.2 Government and Defense Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 IT and Telecom
10.3.1 IT and Telecom Market Trend Analysis (2021-2032)
10.3.2 IT and Telecom Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Healthcare
10.4.1 Healthcare Market Trends Analysis (2021-2032)
10.4.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 BFSI
10.5.1 BFSI Market Trends Analysis (2021-2032)
10.5.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 Industrial and Manufacturing
10.6.1 Industrial and Manufacturing Market Trends Analysis (2021-2032)
10.6.2 Industrial and Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
10.7 Retail and E-commerce
10.7.1 Retail and E-commerce Market Trends Analysis (2021-2032)
10.72 Retail and E-commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
10.8 Others
10.8.1 Others Market Trends Analysis (2021-2032)
10.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trend Analysis
11.2.2 North America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.2.3 North America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.4 North America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.5 North America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.2.6 North America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.7.2 USA Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.7.3 USA Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.2.7.4 USA Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.8.2 Canada Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.8.3 Canada Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.2.8.4 Canada Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.9.2 Mexico Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.9.3 Mexico Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.2.9.4 Mexico Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3 Europe
11.3.1 Trend Analysis
11.3.2 Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.3.3 Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.4 Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.5 Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.6 Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.7 Germany
11.3.7.1 Germany Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.7.2 Germany Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.7.3 Germany Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.7.4 Germany Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.8 France
11.3.8.1 France Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.8.2 France Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.8.3 France Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.8.4 France Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.9 UK
11.3.9.1 UK Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.9.2 UK Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.9.3 UK Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.9.4 UK Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.10 Italy
11.3.10.1 ItalyAgentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.10.2 Italy Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.10.3 Italy Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.10.4 Italy Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.11 Spain
11.3.11.1 Spain Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.11.2 Spain Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.11.3 Spain Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.11.4 Spain Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.12 Poland
11.3.12.1 Poland Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.12.2 Poland Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.12.3 Poland Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.12.4 Poland Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.13 Turkey
11.3.13.1 Turkey Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.13.2 Turkey Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.13.3 Turkey Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.13.4 Turkey Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.3.14 Rest of Europe
11.3.14.1 Rest of Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.14.2 Rest of Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.14.3 Rest of Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.3.14.4 Rest of Europe Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trend Analysis
11.4.2 Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.4.3 Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.4 Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.5 Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.6 Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.7 China
11.4.7.1 China Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.7.2 China Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.7.3 China Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.7.4 China Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.8 India
11.4.8.1 India Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.8.2 India Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.8.3 India Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.8.4 India Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.9.2 Japan Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.9.3 Japan Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.9.4 Japan Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.10.2 South Korea Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.10.3 South Korea Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.10.4 South Korea Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.11 Singapore
11.4.11.1 Singapore Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.11.2 Singapore Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.11.3 Singapore Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.11.4 Singapore Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.12 Australia
11.4.12.1 Australia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.12.2 Australia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.12.3 Australia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.12.4 Australia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.4.13 Rest of Asia Pacific
11.4.13.1 Rest of Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.13.2 Rest of Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.13.3 Rest of Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.4.13.4 Rest of Asia Pacific Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Trend Analysis
11.5.2 Middle East and Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.5.3 Middle East and Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.4 Middle East and Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.5 Middle East and Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.6 Middle East and Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5.7 UAE
11.5.7.1 UAE Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.7.2 UAE Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.7.3 UAE Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.7.4 UAE Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5.8 Saudi Arabia
11.5.8.1 Saudi Arabia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.8.2 Saudi Arabia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.8.3 Saudi Arabia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.8.4 Saudi Arabia Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5.9 Qatar
11.5.9.1 Qatar Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.9.2 Qatar Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.9.3 Qatar Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.1.9.4 Qatar Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5.10 South Africa
11.5.10.1 South Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.10.2 South Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.10.3 South Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.10.4 South Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.5.11 Rest of Middle East & Africa
11.5.11.1 Rest of Middle East & Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.11.2 Rest of Middle East & Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.11.3 Rest of Middle East & Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.5.11.4 Rest of Middle East & Africa Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.6 Latin America
11.6.1 Trend Analysis
11.6.2 Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.6.3 Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.4 Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.5 Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.6.6 Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.7.2 Brazil Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.7.3 Brazil Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.6.7.4 Brazil Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.8.2 Argentina Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.8.3 Argentina Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.6.8.4 Argentina Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
11.6.9 Rest of Latin America
11.6.9.1 Rest of Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.9.2 Rest of Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.9.3 Rest of Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts By Enterprise Size (2021-2032) (USD Billion)
11.6.9.4 Rest of Latin America Agentic AI in Prevention & Fraud Detection Market Estimates and Forecasts by End-Use (2021-2032) (USD Billion)
12. Company Profiles
12.1 IBM Corporation
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 FICO
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 SAS Institute Inc
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 ACI Worldwide
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 BAE Systems
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 Experian Information Solutions
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 Oracle Corporation
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 SAP SE
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 NICE Ltd
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 Dell Inc.
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusio
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Solution
Fraud Analytics
Authentication
Governance, Risk, and Compliance
Others
Services
Professional Services
Managed Services
By Application
Identity Theft
Money Laundering
Payment Fraud
Others
By Organization
SMEs
Large Enterprises
By Vertical
BFSI
Government and Defense
Healthcare
IT and Telecom
Industrial and Manufacturing
Retail and E-commerce
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players