Fraud Detection & Prevention Market by Solution Type, Services, Deployment Type, End User, Industry Vertical, and Geography - Global Opportunity Analysis and Industry Forecast, 2016-2023
The global fraud detection & prevention market size was valued at $13,644 million in 2016, and is expected to reach $40,610 million by 2023, growing at a CAGR of 17% during the forecast period. Fraud detection & prevention solutions are solutions offered by IT vendors against fraud incidents and help to detect or prevent such future occurrences.
The current business scenario has witnessed an upsurge in the adoption of fraud detection & prevention solutions in developed as well as the developing regions. The companies adopt efficient techniques to provide customers with innovative and modernized security offerings. Introduction of big data analytics and cloud computing services, and increase in mobile payment drive the growth of the fraud detection & prevention market. Although continuous technological advancements prevailing in the market are promoting market expansion, factors such as high cost of these solutions may restrict the fraud detection & prevention market growth.
The global fraud detection & prevention market is segmented based on solution type, services, deployment type, end user, industry vertical, and geography. On the basis of solution type, it is bifurcated into fraud analytics and authentication. The authentication segment accounted for the largest market share of around 57.9% in 2016, owing to high demand for effective fraud detection solutions and real-time operations due to increase in online payment transactions. The services segment is classified based on professional services and managed services. Managed services is expected to exhibit the highest growth rate during the forecast period, as they integrate with the company’s intellectual property to provide end-to-end solutions tailored to meet the organization’s exact requirements. Based on deployment model, the market is segmented into cloud and on-premises models. By end user, it is divided into small & medium enterprises (SMEs) and large enterprises (LE). Industries analyzed in this report include banking, financial service & insurance (BFSI); retail; healthcare; real estate; manufacturing; and others. The BFSI industry generated the highest revenue in 2016, accounting for around $3,498 million, and is expected to maintain its lead in the future. This growth is attributed to increase in number & frequency of sophisticated attacks in the banking sector, which has led to the development of analytical solutions to predict and prevent fraud. Geographically, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. Asia-Pacific exhibits the highest rate of adoption of fraud detection solutions, while LAMEA is expected to grow at a significant growth rate, predicting a lucrative market growth for fraud detection & prevention solutions, especially in Brazil, South Africa, and Argentina.
Key players operating in the global fraud detection & prevention market are IBM Corporation, Oracle Corporation, SAS Institute Inc., Fair Isaac Corporation., SAP SE, BAE Systems, ACI Worldwide, NCR Limited, Lavastorm Analytics, and ThreatMetrix.
KEY BENEFITS FOR STAKEHOLDERS
By Solution Type
The current business scenario has witnessed an upsurge in the adoption of fraud detection & prevention solutions in developed as well as the developing regions. The companies adopt efficient techniques to provide customers with innovative and modernized security offerings. Introduction of big data analytics and cloud computing services, and increase in mobile payment drive the growth of the fraud detection & prevention market. Although continuous technological advancements prevailing in the market are promoting market expansion, factors such as high cost of these solutions may restrict the fraud detection & prevention market growth.
The global fraud detection & prevention market is segmented based on solution type, services, deployment type, end user, industry vertical, and geography. On the basis of solution type, it is bifurcated into fraud analytics and authentication. The authentication segment accounted for the largest market share of around 57.9% in 2016, owing to high demand for effective fraud detection solutions and real-time operations due to increase in online payment transactions. The services segment is classified based on professional services and managed services. Managed services is expected to exhibit the highest growth rate during the forecast period, as they integrate with the company’s intellectual property to provide end-to-end solutions tailored to meet the organization’s exact requirements. Based on deployment model, the market is segmented into cloud and on-premises models. By end user, it is divided into small & medium enterprises (SMEs) and large enterprises (LE). Industries analyzed in this report include banking, financial service & insurance (BFSI); retail; healthcare; real estate; manufacturing; and others. The BFSI industry generated the highest revenue in 2016, accounting for around $3,498 million, and is expected to maintain its lead in the future. This growth is attributed to increase in number & frequency of sophisticated attacks in the banking sector, which has led to the development of analytical solutions to predict and prevent fraud. Geographically, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. Asia-Pacific exhibits the highest rate of adoption of fraud detection solutions, while LAMEA is expected to grow at a significant growth rate, predicting a lucrative market growth for fraud detection & prevention solutions, especially in Brazil, South Africa, and Argentina.
Key players operating in the global fraud detection & prevention market are IBM Corporation, Oracle Corporation, SAS Institute Inc., Fair Isaac Corporation., SAP SE, BAE Systems, ACI Worldwide, NCR Limited, Lavastorm Analytics, and ThreatMetrix.
KEY BENEFITS FOR STAKEHOLDERS
- In-depth analysis of the global fraud detection and prevention market along with its dynamics is provided to understand the market scenario.
- Quantitative analysis of the current trends and future estimations from 2016 to 2023 is provided to assist strategists and stakeholders to capitalize on prevailing opportunities.
- Porter’s Five Forces analysis examines the competitive structure of the fraud detection and prevention market and provides a clear understanding of the factors that influence the market entry and expansion.
- A detailed analysis of the geographical segments enables identification of profitable segments for market players.
- Comprehensive analysis of the trends, sub-segments, and key revenue pockets are provided in the report.
- Detailed analysis of the key players and their business strategies are anticipated to assist stakeholders to take informed business decisions.
- Profile analysis of leading players that operate in the fraud detection and prevention market are provided in the report, which highlight the major developmental strategies.
By Solution Type
- Fraud Analytics
- Predictive Analytics
- Customer Analytics
- Social Media Analytics
- Bigdata Analytics
- Behavioral Analytics
- Authentication
- Single-Factor Authentication
- Multifactor Authentication
- Professional
- Managed
- Cloud
- On-Premises
- Small & Medium Enterprises (SMEs)
- Large Enterprises
- BFSI
- Retail
- Healthcare
- Real Estate
- Manufacturing
- Others
- North America
- U.S.
- Mexico
- Canada
- Europe
- Germany
- UK
- France
- Russia
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- IBM Corporation
- Oracle Corporation
- SAS Institute Inc.
- Fair Isaac Corporation
- SAP SE
- BAE Systems
- ACI Worldwide
- NCR Limited
- Lavastorm
- ThreatMetrix
CHAPTER 1 INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. MARKET SEGMENTATION
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3 MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top winning strategies
3.2.3. Top investment pockets
3.3. PORTERS FIVE FORCES ANALYSIS
3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Intensity of competitive rivalry
3.4. MARKET PLAYER POSITIONING
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Emergence of big data analytics
3.5.1.2. Growing demand for cloud-based security solutions
3.5.1.3. Rapid increase in mobile banking
3.5.2. Restraints
3.5.2.1. High cost of fraud detection and prevention solutions
3.5.3. Opportunities
3.5.3.1. Need for strong authentication methods
CHAPTER 4 FRAUD DETECTION & PREVENTION MARKET, BY SOLUTION
4.1. OVERVIEW
4.1.1. Market size and forecast
4.2. FRAUD ANALYTICS
4.2.1. Key market trends
4.2.2. Key drivers and opportunities
4.2.3. Market size and forecast
4.2.3.1. Predictive analytics
4.2.3.2. Customer analytics
4.2.3.3. Social media analytics
4.2.3.4. Big data analytics
4.2.3.5. Behavioral analytics
4.3. AUTHENTICATION
4.3.1. Key market trends
4.3.2. Key drivers and opportunities
4.3.3. Market size and forecast
4.3.3.1. Single factor authentication
4.3.3.2. Multi factor authentication
CHAPTER 5 FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE
5.1. OVERVIEW
5.1.1. Market size and forecast
5.2. PROFESSIONAL SERVICES
5.2.1. Key market trends
5.2.2. Key drivers and opportunities
5.2.3. Market size and forecast
5.3. MANAGED SERVICES
5.3.1. Key market trends
5.3.2. Key drivers and opportunities
5.3.3. Market size and forecast
CHAPTER 6 FRAUD DETECTION AND PREVENTION MARKET, BY END-USER
6.1. OVERVIEW
6.1.1. Market size and forecast
6.2. SMALL AND MEDIUM ENTERPRISES (SME)
6.2.1. Key market trends
6.2.2. Key drivers and opportunities
6.2.3. Market size and forecast
6.3. LARGE ENTERPRISES
6.3.1. Key market trends
6.3.2. Key drivers and opportunities
6.3.3. Market size and forecast
CHAPTER 7 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT TYPE
7.1. OVERVIEW
7.1.1. Market size and forecast
7.2. CLOUD
7.2.1. Key market trends
7.2.2. Key drivers and opportunities
7.2.3. Market size and forecast
7.3. ON-PREMISES
7.3.1. Key market trends
7.3.2. Key drivers and opportunities
7.3.3. Market size and forecast
CHAPTER 8 FRAUD DETECTION AND PREVENTION MARKET, BY INDUSTRY VERTICAL
8.1. OVERVIEW
8.1.1. Market size and forecast
8.2. BFSI (BANKING, FINANCIAL SERVICE & INSURANCE)
8.2.1. Key market trends
8.2.2. Key drivers and opportunities
8.2.3. Market size and forecast
8.3. RETAIL
8.3.1. Key market trends
8.3.2. Key drivers and opportunities
8.3.3. Market size and forecast
8.4. HEALTHCARE
8.4.1. Key market trends
8.4.2. Key drivers and opportunities
8.4.3. Market size and forecast
8.5. REAL ESTATE
8.5.1. Key market trends
8.5.2. Key drivers and opportunities
8.5.3. Market size and forecast
8.6. MANUFACTURING
8.6.1. Key market trends
8.6.2. Key drivers and opportunities
8.6.3. Market size and forecast
8.7. OTHERS
8.7.1. Key market trends
8.7.2. Key drivers and opportunities
8.7.3. Market size and forecast
CHAPTER 9 FRAUD DETECTION AND PREVENTION MARKET, BY GEOGRAPHY
9.1. OVERVIEW
9.2. NORTH AMERICA
9.2.1. Key market trends
9.2.2. Key drivers and opportunities
9.2.3. Market size and forecast
9.2.3.1. U.S.
9.2.3.2. Canada
9.2.3.3. Mexico
9.3. EUROPE
9.3.1. Key market trends
9.3.2. Key drivers and opportunities
9.3.3. Market size and forecast
9.3.3.1. Germany
9.3.3.2. UK
9.3.3.3. France
9.3.3.4. Russia
9.3.3.5. Rest of Europe
9.4. ASIA-PACIFIC
9.4.1. Key market trends
9.4.2. Key drivers and opportunities
9.4.3. Market size and forecast
9.4.3.1. China
9.4.3.2. India
9.4.3.3. Japan
9.4.3.4. Rest of Asia-Pacific
9.5. LAMEA
9.5.1. Key market trends
9.5.2. Key drivers and opportunities
9.5.3. Market size and forecast
9.5.3.1. Latin America
9.5.3.2. Middle East
9.5.3.3. Africa
CHAPTER 10 COMPANY PROFILES
10.1. ACI WORLDWIDE, INC.
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Operating business segments
10.1.4. Product portfolio
10.1.5. Business performance
10.1.6. Key strategic moves & developments, 2014-2017
10.2. BAE SYSTEMS, INC.
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Operating business segments
10.2.4. Product portfolio
10.2.5. Business performance
10.2.6. Key strategic moves & developments, 2013-2017
10.3. FAIR ISAAC CORPORATION
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves & developments, 2017
10.4. INTERNATIONAL BUSINESS MACHINES CORPORATION
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Operating business segments
10.4.4. Product portfolio
10.4.5. Business performance
10.4.6. Key strategic moves & developments
10.5. LAVASTORM ANALYTICS
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.6. NCR CORPORATION (ALARIC SYSTEMS LIMITED)
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves & developments, 2014-2016
10.7. ORACLE CORPORATION
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.8. SAP SE
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Operating business segments
10.8.4. Product portfolio
10.8.5. Business performance
10.8.6. Key strategic moves & developments, 2016
10.9. SAS INSTITUTE INC.
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Operating business segments
10.9.4. Product portfolio
10.9.5. Business performance
10.9.6. Key strategic moves & developments, 2016
10.10. THREATMETRIX INC.
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.4. Product portfolio
10.10.5. Key strategic moves & developments, 2016
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. MARKET SEGMENTATION
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3 MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top winning strategies
3.2.3. Top investment pockets
3.3. PORTERS FIVE FORCES ANALYSIS
3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Intensity of competitive rivalry
3.4. MARKET PLAYER POSITIONING
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Emergence of big data analytics
3.5.1.2. Growing demand for cloud-based security solutions
3.5.1.3. Rapid increase in mobile banking
3.5.2. Restraints
3.5.2.1. High cost of fraud detection and prevention solutions
3.5.3. Opportunities
3.5.3.1. Need for strong authentication methods
CHAPTER 4 FRAUD DETECTION & PREVENTION MARKET, BY SOLUTION
4.1. OVERVIEW
4.1.1. Market size and forecast
4.2. FRAUD ANALYTICS
4.2.1. Key market trends
4.2.2. Key drivers and opportunities
4.2.3. Market size and forecast
4.2.3.1. Predictive analytics
4.2.3.2. Customer analytics
4.2.3.3. Social media analytics
4.2.3.4. Big data analytics
4.2.3.5. Behavioral analytics
4.3. AUTHENTICATION
4.3.1. Key market trends
4.3.2. Key drivers and opportunities
4.3.3. Market size and forecast
4.3.3.1. Single factor authentication
4.3.3.2. Multi factor authentication
CHAPTER 5 FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE
5.1. OVERVIEW
5.1.1. Market size and forecast
5.2. PROFESSIONAL SERVICES
5.2.1. Key market trends
5.2.2. Key drivers and opportunities
5.2.3. Market size and forecast
5.3. MANAGED SERVICES
5.3.1. Key market trends
5.3.2. Key drivers and opportunities
5.3.3. Market size and forecast
CHAPTER 6 FRAUD DETECTION AND PREVENTION MARKET, BY END-USER
6.1. OVERVIEW
6.1.1. Market size and forecast
6.2. SMALL AND MEDIUM ENTERPRISES (SME)
6.2.1. Key market trends
6.2.2. Key drivers and opportunities
6.2.3. Market size and forecast
6.3. LARGE ENTERPRISES
6.3.1. Key market trends
6.3.2. Key drivers and opportunities
6.3.3. Market size and forecast
CHAPTER 7 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT TYPE
7.1. OVERVIEW
7.1.1. Market size and forecast
7.2. CLOUD
7.2.1. Key market trends
7.2.2. Key drivers and opportunities
7.2.3. Market size and forecast
7.3. ON-PREMISES
7.3.1. Key market trends
7.3.2. Key drivers and opportunities
7.3.3. Market size and forecast
CHAPTER 8 FRAUD DETECTION AND PREVENTION MARKET, BY INDUSTRY VERTICAL
8.1. OVERVIEW
8.1.1. Market size and forecast
8.2. BFSI (BANKING, FINANCIAL SERVICE & INSURANCE)
8.2.1. Key market trends
8.2.2. Key drivers and opportunities
8.2.3. Market size and forecast
8.3. RETAIL
8.3.1. Key market trends
8.3.2. Key drivers and opportunities
8.3.3. Market size and forecast
8.4. HEALTHCARE
8.4.1. Key market trends
8.4.2. Key drivers and opportunities
8.4.3. Market size and forecast
8.5. REAL ESTATE
8.5.1. Key market trends
8.5.2. Key drivers and opportunities
8.5.3. Market size and forecast
8.6. MANUFACTURING
8.6.1. Key market trends
8.6.2. Key drivers and opportunities
8.6.3. Market size and forecast
8.7. OTHERS
8.7.1. Key market trends
8.7.2. Key drivers and opportunities
8.7.3. Market size and forecast
CHAPTER 9 FRAUD DETECTION AND PREVENTION MARKET, BY GEOGRAPHY
9.1. OVERVIEW
9.2. NORTH AMERICA
9.2.1. Key market trends
9.2.2. Key drivers and opportunities
9.2.3. Market size and forecast
9.2.3.1. U.S.
9.2.3.2. Canada
9.2.3.3. Mexico
9.3. EUROPE
9.3.1. Key market trends
9.3.2. Key drivers and opportunities
9.3.3. Market size and forecast
9.3.3.1. Germany
9.3.3.2. UK
9.3.3.3. France
9.3.3.4. Russia
9.3.3.5. Rest of Europe
9.4. ASIA-PACIFIC
9.4.1. Key market trends
9.4.2. Key drivers and opportunities
9.4.3. Market size and forecast
9.4.3.1. China
9.4.3.2. India
9.4.3.3. Japan
9.4.3.4. Rest of Asia-Pacific
9.5. LAMEA
9.5.1. Key market trends
9.5.2. Key drivers and opportunities
9.5.3. Market size and forecast
9.5.3.1. Latin America
9.5.3.2. Middle East
9.5.3.3. Africa
CHAPTER 10 COMPANY PROFILES
10.1. ACI WORLDWIDE, INC.
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Operating business segments
10.1.4. Product portfolio
10.1.5. Business performance
10.1.6. Key strategic moves & developments, 2014-2017
10.2. BAE SYSTEMS, INC.
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Operating business segments
10.2.4. Product portfolio
10.2.5. Business performance
10.2.6. Key strategic moves & developments, 2013-2017
10.3. FAIR ISAAC CORPORATION
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves & developments, 2017
10.4. INTERNATIONAL BUSINESS MACHINES CORPORATION
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Operating business segments
10.4.4. Product portfolio
10.4.5. Business performance
10.4.6. Key strategic moves & developments
10.5. LAVASTORM ANALYTICS
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.6. NCR CORPORATION (ALARIC SYSTEMS LIMITED)
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves & developments, 2014-2016
10.7. ORACLE CORPORATION
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.8. SAP SE
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Operating business segments
10.8.4. Product portfolio
10.8.5. Business performance
10.8.6. Key strategic moves & developments, 2016
10.9. SAS INSTITUTE INC.
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Operating business segments
10.9.4. Product portfolio
10.9.5. Business performance
10.9.6. Key strategic moves & developments, 2016
10.10. THREATMETRIX INC.
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.4. Product portfolio
10.10.5. Key strategic moves & developments, 2016
LIST OF TABLES
TABLE 1. GLOBAL FRAUD DETECTION & PREVENTION MARKET REVENUE, BY SOLUTION, 2016-2023 ($MILLION)
TABLE 2. FRAUD DETECTION & PREVENTION MARKET FOR FRAUD ANALYTICS SOLUTION, BY REGION, 2016-2023($MILLION)
TABLE 3. FRAUD DETECTION AND PREVENTION MARKET FOR AUTHENTICATION SOLUTION, BY REGION, 2016-2023 ($MILLION)
TABLE 4. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2016-2023 ($MILLION)
TABLE 5. FRAUD DETECTION AND PREVENTION MARKET, BY SERVICES, 2016-2023 ($MILLION)
TABLE 6. FRAUD DETECTION AND PREVENTION MARKET FOR PROFESSIONAL SERVICES, BY REGION, 2016-2023($MILLION)
TABLE 7. FRAUD DETECTION AND PREVENTION MARKET FOR MANAGED SERVICES, BY REGION, 2016-2023($MILLION)
TABLE 8. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END-USER, 2016-2023 ($MILLION)
TABLE 9. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END-USER, 2016-2023 ($MILLION)
TABLE 10. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION, 2016-2023 ($MILLION)
TABLE 11. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2016-2023($MILLION)
TABLE 12. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY DEPLOYMENT TYPE, 2016-2023 ($MILLION)
TABLE 13. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY DEPLOYMENT TYPE, 2016-2023 ($MILLION)
TABLE 14. FRAUD DETECTION AND PREVENTION MARKET REVENUE, FOR CLOUD DEPLOYMENT, BY REGION, 2016-2023($MILLION)
TABLE 15. FRAUD DETECTION AND PREVENTION MARKET REVENUE, FOR ON-PREMISES DEPLOYMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 16. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2016-2023 ($MILLION)
TABLE 17. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR BFSI INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 18. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR RETAIL INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 19. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR HEALTHCARE INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 20. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR REAL ESTATE INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 21. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR MANUFACTURING INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 22. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR OTHERS INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 23. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 24. NORTH AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 25. NORTH AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 26. EUROPE FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 27. EUROPE FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 28. ASIA-PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 29. ASIA PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 30. LAMEA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 31. LAMEA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 32. ACI: COMPANY SNAPSHOT
TABLE 33. ACI: OPERATING SEGMENTS
TABLE 34. ACI: PRODUCT PORTFOLIO
TABLE 35. BAE SYSTEMS: COMPANY SNAPSHOT
TABLE 36. BAE SYSTEMS: OPERATING SEGMENTS
TABLE 37. BAE SYSTEMS: PRODUCT PORTFOLIO
TABLE 38. FICO: COMPANY SNAPSHOT
TABLE 39. FICO: OPERATING SEGMENTS
TABLE 40. FICO: PRODUCT PORTFOLIO
TABLE 41. IBM: COMPANY SNAPSHOT
TABLE 42. IBM: OPERATING SEGMENTS
TABLE 43. IBM: PRODUCT PORTFOLIO
TABLE 44. LAVASTORM ANALYTICS: COMPANY SNAPSHOT
TABLE 45. LAVASTORM ANALYTICS: OPERATING SEGMENTS
TABLE 46. LAVASTORM ANALYTICS: PRODUCT PORTFOLIO
TABLE 47. NCR: COMPANY SNAPSHOT
TABLE 48. NCR: OPERATING SEGMENTS
TABLE 49. NCR: PRODUCT PORTFOLIO
TABLE 50. ORACLE: COMPANY SNAPSHOT
TABLE 51. ORACLE: OPERATING SEGMENTS
TABLE 52. ORACLE: PRODUCT PORTFOLIO
TABLE 53. SAP SE: COMPANY SNAPSHOT
TABLE 54. SAP SE: OPERATING SEGMENTS
TABLE 55. SAP SE: PRODUCT PORTFOLIO
TABLE 56. SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 57. SAS INSTITUTE: OPERATING SEGMENTS
TABLE 58. SAS INSTITUTE: PRODUCT PORTFOLIO
TABLE 59. THREATMETRIX: COMPANY SNAPSHOT
TABLE 60. THREATMETRIX: OPERATING SEGMENTS
TABLE 61. THREATMETRIX: PRODUCT PORTFOLIO
TABLE 1. GLOBAL FRAUD DETECTION & PREVENTION MARKET REVENUE, BY SOLUTION, 2016-2023 ($MILLION)
TABLE 2. FRAUD DETECTION & PREVENTION MARKET FOR FRAUD ANALYTICS SOLUTION, BY REGION, 2016-2023($MILLION)
TABLE 3. FRAUD DETECTION AND PREVENTION MARKET FOR AUTHENTICATION SOLUTION, BY REGION, 2016-2023 ($MILLION)
TABLE 4. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2016-2023 ($MILLION)
TABLE 5. FRAUD DETECTION AND PREVENTION MARKET, BY SERVICES, 2016-2023 ($MILLION)
TABLE 6. FRAUD DETECTION AND PREVENTION MARKET FOR PROFESSIONAL SERVICES, BY REGION, 2016-2023($MILLION)
TABLE 7. FRAUD DETECTION AND PREVENTION MARKET FOR MANAGED SERVICES, BY REGION, 2016-2023($MILLION)
TABLE 8. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END-USER, 2016-2023 ($MILLION)
TABLE 9. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END-USER, 2016-2023 ($MILLION)
TABLE 10. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION, 2016-2023 ($MILLION)
TABLE 11. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2016-2023($MILLION)
TABLE 12. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY DEPLOYMENT TYPE, 2016-2023 ($MILLION)
TABLE 13. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY DEPLOYMENT TYPE, 2016-2023 ($MILLION)
TABLE 14. FRAUD DETECTION AND PREVENTION MARKET REVENUE, FOR CLOUD DEPLOYMENT, BY REGION, 2016-2023($MILLION)
TABLE 15. FRAUD DETECTION AND PREVENTION MARKET REVENUE, FOR ON-PREMISES DEPLOYMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 16. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY INDUSTRY VERTICAL, 2016-2023 ($MILLION)
TABLE 17. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR BFSI INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 18. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR RETAIL INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 19. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR HEALTHCARE INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 20. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR REAL ESTATE INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 21. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR MANUFACTURING INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 22. FRAUD DETECTION AND PREVENTION MARKET REVENUE FOR OTHERS INDUSTRY, BY REGION, 2016-2023 ($MILLION)
TABLE 23. GLOBAL FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY GEOGRAPHY, 2016-2023 ($MILLION)
TABLE 24. NORTH AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 25. NORTH AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 26. EUROPE FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 27. EUROPE FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 28. ASIA-PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 29. ASIA PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 30. LAMEA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY SOLUTION TYPE, 2016-2023 ($MILLION)
TABLE 31. LAMEA FRAUD DETECTION AND PREVENTION MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 32. ACI: COMPANY SNAPSHOT
TABLE 33. ACI: OPERATING SEGMENTS
TABLE 34. ACI: PRODUCT PORTFOLIO
TABLE 35. BAE SYSTEMS: COMPANY SNAPSHOT
TABLE 36. BAE SYSTEMS: OPERATING SEGMENTS
TABLE 37. BAE SYSTEMS: PRODUCT PORTFOLIO
TABLE 38. FICO: COMPANY SNAPSHOT
TABLE 39. FICO: OPERATING SEGMENTS
TABLE 40. FICO: PRODUCT PORTFOLIO
TABLE 41. IBM: COMPANY SNAPSHOT
TABLE 42. IBM: OPERATING SEGMENTS
TABLE 43. IBM: PRODUCT PORTFOLIO
TABLE 44. LAVASTORM ANALYTICS: COMPANY SNAPSHOT
TABLE 45. LAVASTORM ANALYTICS: OPERATING SEGMENTS
TABLE 46. LAVASTORM ANALYTICS: PRODUCT PORTFOLIO
TABLE 47. NCR: COMPANY SNAPSHOT
TABLE 48. NCR: OPERATING SEGMENTS
TABLE 49. NCR: PRODUCT PORTFOLIO
TABLE 50. ORACLE: COMPANY SNAPSHOT
TABLE 51. ORACLE: OPERATING SEGMENTS
TABLE 52. ORACLE: PRODUCT PORTFOLIO
TABLE 53. SAP SE: COMPANY SNAPSHOT
TABLE 54. SAP SE: OPERATING SEGMENTS
TABLE 55. SAP SE: PRODUCT PORTFOLIO
TABLE 56. SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 57. SAS INSTITUTE: OPERATING SEGMENTS
TABLE 58. SAS INSTITUTE: PRODUCT PORTFOLIO
TABLE 59. THREATMETRIX: COMPANY SNAPSHOT
TABLE 60. THREATMETRIX: OPERATING SEGMENTS
TABLE 61. THREATMETRIX: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 1. EXECUTIVE SUMMARY
FIGURE 2. TOP WINNING STRATEGIES
FIGURE 3. TOP INVESTMENT POCKETS
FIGURE 4. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 5. HIGH BARGAINING POWER OF BUYERS
FIGURE 6. LOW THREAT OF SUBSTITUTES
FIGURE 7. MODERATE THREAT OF NEW ENTRANTS
FIGURE 8. HIGH COMPETITIVE RIVALRY
FIGURE 9. MARKET PLAYER POSITIONING
FIGURE 10. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2015-2023 ($MILLION)
FIGURE 11. GLOBAL FRAUD DETECTIONS AND PREVENTION MARKET, BY SERVICE, 2015-2023 ($MILLION)
FIGURE 12. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END USER, 2015-2023 ($MILLION)
FIGURE 13. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT TYPE, 2015-2023 ($MILLION)
FIGURE 14. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY INDUSTRY VERTICAL, 2015-2023 ($MILLION)
FIGURE 15. U.S. FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 16. CANADA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 17. MEXICO FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 18. GERMANY FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 19. UK FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 20. FRANCE FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 21. RUSSIA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 22. REST OF EUROPE FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 23. CHINA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 24. INDIA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 25. JAPAN FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 26. REST OF ASIA-PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 27. LATIN AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 28. MIDDLE EAST FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 29. AFRICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 30. ACI: REVENUE, 2014-2016 ($MILLION)
FIGURE 31. ACI: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 32. ACI: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 33. BAE SYSTEMS: REVENUE, 2014-2016 ($MILLION)
FIGURE 34. BAE SYSTEMS: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 35. BAE SYSTEMS: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 36. FICO: REVENUE, 2014-2016 ($MILLION)
FIGURE 37. FICO: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 38. FICO: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 39. IBM: REVENUE, 2014-2016 ($MILLION)
FIGURE 40. IBM: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 41. IBM: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 42. NCR: REVENUE, 2013-2015 ($MILLION)
FIGURE 43. NCR: REVENUE SHARE BY SEGMENT, 2015 (%)
FIGURE 44. NCR: REVENUE SHARE BY GEOGRAPHY, 2015 (%)
FIGURE 45. ORACLE: REVENUE, 2014-2016 ($MILLION)
FIGURE 46. ORACLE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 47. ORACLE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 48. SAP SE: REVENUE, 2014-2016 ($MILLION)
FIGURE 49. SAP SE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 50. SAP SE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 51. SAS INSTITUTE: REVENUE, 2014-2016 ($MILLION)
FIGURE 52. SAS INSTITUTE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 53. SAS INSTITUTE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 1. EXECUTIVE SUMMARY
FIGURE 2. TOP WINNING STRATEGIES
FIGURE 3. TOP INVESTMENT POCKETS
FIGURE 4. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 5. HIGH BARGAINING POWER OF BUYERS
FIGURE 6. LOW THREAT OF SUBSTITUTES
FIGURE 7. MODERATE THREAT OF NEW ENTRANTS
FIGURE 8. HIGH COMPETITIVE RIVALRY
FIGURE 9. MARKET PLAYER POSITIONING
FIGURE 10. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2015-2023 ($MILLION)
FIGURE 11. GLOBAL FRAUD DETECTIONS AND PREVENTION MARKET, BY SERVICE, 2015-2023 ($MILLION)
FIGURE 12. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY END USER, 2015-2023 ($MILLION)
FIGURE 13. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT TYPE, 2015-2023 ($MILLION)
FIGURE 14. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY INDUSTRY VERTICAL, 2015-2023 ($MILLION)
FIGURE 15. U.S. FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 16. CANADA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 17. MEXICO FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 18. GERMANY FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 19. UK FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 20. FRANCE FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 21. RUSSIA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 22. REST OF EUROPE FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 23. CHINA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 24. INDIA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 25. JAPAN FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 26. REST OF ASIA-PACIFIC FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 27. LATIN AMERICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 28. MIDDLE EAST FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 29. AFRICA FRAUD DETECTION AND PREVENTION MARKET REVENUE, 2016-2023 ($MILLION)
FIGURE 30. ACI: REVENUE, 2014-2016 ($MILLION)
FIGURE 31. ACI: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 32. ACI: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 33. BAE SYSTEMS: REVENUE, 2014-2016 ($MILLION)
FIGURE 34. BAE SYSTEMS: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 35. BAE SYSTEMS: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 36. FICO: REVENUE, 2014-2016 ($MILLION)
FIGURE 37. FICO: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 38. FICO: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 39. IBM: REVENUE, 2014-2016 ($MILLION)
FIGURE 40. IBM: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 41. IBM: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 42. NCR: REVENUE, 2013-2015 ($MILLION)
FIGURE 43. NCR: REVENUE SHARE BY SEGMENT, 2015 (%)
FIGURE 44. NCR: REVENUE SHARE BY GEOGRAPHY, 2015 (%)
FIGURE 45. ORACLE: REVENUE, 2014-2016 ($MILLION)
FIGURE 46. ORACLE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 47. ORACLE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 48. SAP SE: REVENUE, 2014-2016 ($MILLION)
FIGURE 49. SAP SE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 50. SAP SE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 51. SAS INSTITUTE: REVENUE, 2014-2016 ($MILLION)
FIGURE 52. SAS INSTITUTE: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 53. SAS INSTITUTE: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
