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| A01812 | Pages: 176 | Feb 2018 | 17913 Views | | |
| Author(s) : Akshay Jadhav | Tables: 61 | Charts: 53 |
| |
Pandemic disrupted the entire world and affected many industries.
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Request Now !The global fraud detection and 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. Any illegal act involved in deceiving someone willfully with an unfair and unlawful intention for financial or any personal gain is termed as fraud. Fraud detection & prevention systems are software applications used to provide analytical solutions for against fraud incidents and help to identify or prevent future occurrences. North America was the dominant region for fraud detection solutions in 2016, owing to industrial expansion and rise in fraudulent activities. Currently, enterprises are more susceptible to incidents of frauds that may result in financial losses due to the generation of massive amounts of enterprise data and increase in technological advancements.
The introduction of big data analytics and cloud computing services, and rapid increase in mobile banking are key factors that drive the growth of the fraud detection and prevention market. Cloud infrastructure allows organizations to meet cloud security compliance requirements for encryption, separation of duties, and access control of protected data. In addition, increase in the generation of enterprise data and its complexity, high industry-specific requirements, and increase in incidence of fraud further supplement the fraud detection and prevention market growth.
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Segment Review
The global fraud detection and prevention market is segmented based on solution type, services, deployment type, end user, industry vertical, and geography. On the basis of solution type, the market is bifurcated into fraud analytics and authentication. Services covered in the study include managed and professional. Based on the deployment model, the market is divided into cloud and on-premises models. By end user, it is categorized into small & medium enterprises (SME) and large enterprises (LE). By industry vertical, it is classified into banking, final services & insurance (BFSI); retail; healthcare; real estate; manufacturing; and others.
Fraud analytics accounted for the substantial fraud detection and prevention market share of around 42.1% in 2016, as this solution assists in analyzing various forms of stored data and gathered information, and in converting them to actionable insights, thereby offering necessary actions required to prevent fraud. Further, the Fraud analytics segment is expected to generate the highest CAGR during the forecast period, owing to increase in implementation of various government regulations related to security for different industries to safeguard their user data.
The professional services segment dominated the fraud detection and prevention market in 2016, accounting for around 54.9% due to increase in fraudulent activities and government regulations for data protection. In addition, growth in popularity of mobile devices present unique challenges to business and government organizations, enforcing them to implement effective solutions that would defend, identify, and respond to evolving threats. BFSI generated the highest revenue in 2016, accounting for around $3,498 million, owing to increased adoption of fraud detection & prevention solutions due to high requirement to strengthen authentication processes for customers.
Asia-Pacific exhibited prominent fraud detection and prevention market growth, and is expected to maintain this trend in future as well, growing further at a CAGR of 18.2% during the forecast period. This is due to growth in penetration of Internet, and increase in usage of mobile data for various applications such as social media and mobile banking, which indirectly boosts fraud detection and prevention market growth.
Top Impacting Factors
Increase in fraudulent activities globally is expected to have a significant impact on the growth of the global fraud detection and prevention market. The introduction of big data analytics and cloud computing is expected to lead to high adoption of fraud detection & prevention solutions in small & large enterprises. This is because cloud infrastructure provides remote server access on the Internet and enables organizations to manage all the applications. However, high initial cost of these solutions restrains the growth of this market.
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 fraud detection and prevention 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 market are provided in the report, which highlight the major developmental strategies.
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
Managed
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
Key Players
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. PORTER’S 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
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 (%)
The global fraud detection & prevention market has witnessed significant growth during the past few years, owing to growth in e-commerce industry and rise in electronic transactions among organizations and institutes, which increases the frequency of fraudulent attacks. This has encouraged banking and financial institutes to deploy fraud detection & prevention solutions to safeguard their accounts and network against potential fraud attacks. Further, the number of organizations and SMEs effectively utilizing fraud analytical tools has increased, which has induced extensive requirement for solutions that provide protection against fraudulent activities.
Fraud detection & prevention solutions are increasingly deployed in North America, followed by Europe, Asia-Pacific, and LAMEA. The highest fraud detection & prevention market share is attributable to the presence of numerous vendors that offer advanced authentication solutions.
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, Alaric Systems, Lavastorm Analytics, and ThreatMetrix. These companies are adopting efficient techniques to provide customers with innovative and modernized security offerings.
A. The fraud detection & prevention market is projected to reach $40,610 million by 2023.
A. Emergence of big data analytics, Growing demand for cloud-based security solutions & Rapid increase in mobile banking
A. To access more insights and competitive landscape get the sample report.
A. The fraud detection & prevention market is expected to grow at CAGR of 17% during forecast period
A. Majority of the company operating in the market are investing on R&D practices.
A. On the basis of top growing big corporation we select top 10 players.
A. The retail segment is expected to witness the highest growth rate of 18.7% during the forecast period.
A. Asia-Pacific is expected to witness the highest growth rate during the forecast period
A. The fraud detection & prevention market in 2016 was $13,644 million
A. IBM Corporation, BAE Systems, SAP SE, Oracle Corporation, ACI Worldwide, and others, focus on product launch, acquisition some of the key players operating in the global market.
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