PUBLISHER: TechNavio | PRODUCT CODE: 1915700
PUBLISHER: TechNavio | PRODUCT CODE: 1915700
Global AI In Fraud Detection Market 2025-2029
The global AI in fraud detection market is forecasted to grow by USD 26464.7 mn during 2024-2029, accelerating at a CAGR of 21.6% during the forecast period. The report on the global AI in fraud detection market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating sophistication and proliferation of ai-powered fraud, proliferation of digital transactions and big data challenge, stringent regulatory mandates and imperative for compliance efficiency.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 19.5% |
| CAGR | 21.6% |
| Incremental Value | $26464.7 mn |
Technavio's global AI in fraud detection market is segmented as below:
By Component
- Software
- Services
By Technology
- Machine learning
- Deep learning
- NLP
- Others
By Application
- Payment fraud
- Anti-money laundering
- Identity fraud
- Insurance fraud
- Others
Geography
- North America
- US
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Spain
- The Netherlands
- APAC
- China
- India
- Japan
- South Korea
- Australia
- Indonesia
- Middle East and Africa
- UAE
- South Africa
- Turkey
- South America
- Brazil
- Argentina
- Colombia
- Rest of World (ROW)
This study identifies the dual-edged sword of generative AI in fraud detection landscapes as one of the prime reasons driving the global AI in fraud detection market growth during the next few years. Also, symbiotic integration of AI with blockchain and advanced biometrics and imperative of explainable AI (xai) for transparency and regulatory adherence will lead to sizable demand in the market.
The report on the global AI in fraud detection market covers the following areas:
- Global AI in fraud detection market sizing
- Global AI in fraud detection market forecast
- Global AI in fraud detection market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in fraud detection market vendors that include ACI Worldwide Inc., Amazon Web Services Inc., BAE Systems Plc, Consultadoria e Inovacao Tecnologica S.A., Fair Isaac Corp., Fiserv Inc., Google Cloud, IBM Corp., LexisNexis Risk Solutions., Microsoft Corp., Oracle Corp., RSA Security LLC, SAS Institute Inc., Splunk Inc., SUBEX Ltd., Thales Group, TransUnion. Also, the global AI in fraud detection market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
5 Historic Market Size
- 5.1 Global AI In Fraud Detection Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Fraud Detection Market 2019 - 2023 ($ million)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ million)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ million)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ million)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ million)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ million)
6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
7 Market Segmentation by Component
- 7.1 Market segments
- 7.2 Comparison by Component
- 7.3 Software - Market size and forecast 2024-2029
- 7.4 Services - Market size and forecast 2024-2029
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ million)
8 Market Segmentation by Technology
- 8.1 Market segments
- 8.2 Comparison by Technology
- 8.3 Machine learning - Market size and forecast 2024-2029
- 8.4 Deep learning - Market size and forecast 2024-2029
- 8.5 NLP - Market size and forecast 2024-2029
- 8.6 Others - Market size and forecast 2024-2029
- 8.7 Market opportunity by Technology
- Market opportunity by Technology ($ million)
9 Market Segmentation by Application
- 9.1 Market segments
- 9.2 Comparison by Application
- 9.3 Payment fraud - Market size and forecast 2024-2029
- 9.4 Anti-money laundering - Market size and forecast 2024-2029
- 9.5 Identity fraud - Market size and forecast 2024-2029
- 9.6 Insurance fraud - Market size and forecast 2024-2029
- 9.7 Others - Market size and forecast 2024-2029
- 9.8 Market opportunity by Application
- Market opportunity by Application ($ million)
10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11.1 Geographic segmentation
- 11.2 Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- 11.3.1 US - Market size and forecast 2024-2029
- 11.3.2 Canada - Market size and forecast 2024-2029
- 11.3.3 Mexico - Market size and forecast 2024-2029
- 11.4 Europe - Market size and forecast 2024-2029
- 11.4.1 UK - Market size and forecast 2024-2029
- 11.4.2 Germany - Market size and forecast 2024-2029
- 11.4.3 France - Market size and forecast 2024-2029
- 11.4.4 Italy - Market size and forecast 2024-2029
- 11.4.5 Spain - Market size and forecast 2024-2029
- 11.4.6 The Netherlands - Market size and forecast 2024-2029
- 11.5 APAC - Market size and forecast 2024-2029
- 11.5.1 China - Market size and forecast 2024-2029
- 11.5.2 India - Market size and forecast 2024-2029
- 11.5.3 Japan - Market size and forecast 2024-2029
- 11.5.4 South Korea - Market size and forecast 2024-2029
- 11.5.5 Australia - Market size and forecast 2024-2029
- 11.5.6 Indonesia - Market size and forecast 2024-2029
- 11.6 Middle East and Africa - Market size and forecast 2024-2029
- 11.6.1 UAE - Market size and forecast 2024-2029
- 11.6.2 Saudi Arabia - Market size and forecast 2024-2029
- 11.6.3 South Africa - Market size and forecast 2024-2029
- 11.6.4 Israel - Market size and forecast 2024-2029
- 11.6.5 Turkey - Market size and forecast 2024-2029
- 11.7 South America - Market size and forecast 2024-2029
- 11.7.1 Brazil - Market size and forecast 2024-2029
- 11.7.2 Argentina - Market size and forecast 2024-2029
- 11.7.3 Colombia - Market size and forecast 2024-2029
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Escalating sophistication and proliferation of AI-powered fraud
- Proliferation of digital transactions and big data challenge
- Stringent regulatory mandates and imperative for compliance efficiency
- 12.2 Market challenges
- Data scarcity, privacy constraints, and challenge of high-quality training data
- Lack of model interpretability and ensuring ethical AI
- Prohibitive implementation costs and a persistent talent deficit
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Dual-edged sword of generative AI in fraud detection landscapes
- Symbiotic integration of AI with blockchain and advanced biometrics
- Imperative of explainable AI (XAI) for transparency and regulatory adherence
13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14.1 Companies profiled
- Companies covered
- 14.2 Company ranking index
- Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 ACI Worldwide Inc.
- ACI Worldwide Inc. - Overview
- ACI Worldwide Inc. - Business segments
- ACI Worldwide Inc. - Key news
- ACI Worldwide Inc. - Key offerings
- ACI Worldwide Inc. - Segment focus
- SWOT
- 14.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 14.6 BAE Systems Plc
- BAE Systems Plc - Overview
- BAE Systems Plc - Business segments
- BAE Systems Plc - Key news
- BAE Systems Plc - Key offerings
- BAE Systems Plc - Segment focus
- SWOT
- 14.7 Consultadoria e Inovacao Tecnologica S.A.
- Consultadoria e Inovacao Tecnologica S.A. - Overview
- Consultadoria e Inovacao Tecnologica S.A. - Product / Service
- Consultadoria e Inovacao Tecnologica S.A. - Key offerings
- SWOT
- 14.8 Fair Isaac Corp.
- Fair Isaac Corp. - Overview
- Fair Isaac Corp. - Business segments
- Fair Isaac Corp. - Key news
- Fair Isaac Corp. - Key offerings
- Fair Isaac Corp. - Segment focus
- SWOT
- 14.9 Fiserv Inc.
- Fiserv Inc. - Overview
- Fiserv Inc. - Business segments
- Fiserv Inc. - Key news
- Fiserv Inc. - Key offerings
- Fiserv Inc. - Segment focus
- SWOT
- 14.10 Google Cloud
- Google Cloud - Overview
- Google Cloud - Product / Service
- Google Cloud - Key offerings
- SWOT
- 14.11 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 14.12 LexisNexis Risk Solutions.
- LexisNexis Risk Solutions. - Overview
- LexisNexis Risk Solutions. - Product / Service
- LexisNexis Risk Solutions. - Key offerings
- SWOT
- 14.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.14 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.15 SAS Institute Inc.
- SAS Institute Inc. - Overview
- SAS Institute Inc. - Product / Service
- SAS Institute Inc. - Key news
- SAS Institute Inc. - Key offerings
- SWOT
- 14.16 Splunk Inc.
- Splunk Inc. - Overview
- Splunk Inc. - Product / Service
- Splunk Inc. - Key offerings
- SWOT
- 14.17 Thales Group
- Thales Group - Overview
- Thales Group - Business segments
- Thales Group - Key news
- Thales Group - Key offerings
- Thales Group - Segment focus
- SWOT
- 14.18 TransUnion
- TransUnion - Overview
- TransUnion - Business segments
- TransUnion - Key news
- TransUnion - Key offerings
- TransUnion - Segment focus
- SWOT
15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- Research methodology
- 15.5 Data procurement
- Information sources
- 15.6 Data validation
- Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
- List of abbreviations
