The fraud detection and prevention market is likely to grow with an estimated CAGR of 17.5% from 2023 to 2033. The market share was worth US$ 31,447.6 million in 2023.
Due to the increasingly high demand for fraud detection and prevention in IT & software companies, the market is anticipated to generate high revenue of US$ 1,58,196.5 billion by 2033.
The rising demand for fraud detection and prevention is due to an increase in frauds & revenue loss in terms of money, assets, & other properties. The market share is anticipated to increase in the adoption of fraud detection and prevention from 2023 to 2033. An increase in online transactions is the key factor boosting the sales of fraud detection and prevention solutions.
Many fraud detections occur while processing data. Hackers are attacking the sites, and with advanced technology and knowledge, they make fraud monitoring, which is likely to raise fraudulent transactions. To avoid such frauds, the rise in fraud detection and prevention is likely to increase the market size in the coming year.
Rising e-payment systems, online money transfers, and data breaches are supposed to increase the fraud detection and prevention market growth. Adopting fraud detection and prevention is likely to save time in detecting fraud as it detects on a real-time basis.
Many industries, such as e-commerce, healthcare, and corporate sectors, are anticipated to increase the adoption of fraud detection and prevention to secure from fraudulent transactions and data stolen.
The market growth is estimated to boost in the coming years compared to the historical year (2022). It surged with a huge valuation of US$ 22.8 billion in 2022 due to increasing online & payment frauds across the globe.
There are a few limitations in demand for fraud detection and prevention services, such as unprofessional related fraud detection and lack of integrated capabilities, which decline the sales of fraud detection and prevention in the market. This factor can restrain and have a negative effect on the growth of the market share.
Attributes | Details |
---|---|
Market CAGR (2023 to 2033) | 17.5% |
Market Size (2023) | US$ 31,447.6 million |
Market Size (2033) | US$ 1,58,196.5 million |
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While working & doing activities on the digital platform, it saves time, reduces paperwork, and can help end users do any work online anywhere within network areas. Therefore, the market trends & opportunities are likely to rise with the great innovative technology.
Many key industries, such as financial, banking, healthcare, e-commerce, and manufacturing, are looking for a solution to get out of such frauds.
The fraud detection and prevention software is likely to overcome these situations and help to secure your private transactions, money, and other valuable data on your devices. This factor increases the sales of fraud detection and prevention in the forecast period from 2022 to 2032.
The adoption of fraud detection and prevention is anticipated to raise awareness and trust among consumers and prevent any fraud.
Fraud Detection and Prevention Market:
Attributes | Fraud Detection and Prevention Market |
---|---|
CAGR (2023 to 2033) | 17.5% |
Market Value (2023) | US$ 31,447.6 million |
Growth Factor | Increasing online frauds through a transaction that leads to losses of money. |
Opportunity | To secure money and other personal data of consumers with advanced technology by fraud detection and prevention software. |
Key Trends | The IOT, big data, cloud computing, and blockchain technology are increasing. |
Online Fraud Detection Market:
Attributes | Online Fraud Detection Market |
---|---|
CAGR (2023 to 2033) | 15% |
Market Value (2023) | US$ 27.75 billion |
Growth Factor | The types of fraud take place on B2C channels, which lose assets. |
Opportunity | To secure the digital channels frauds with the foundational technology with the adoption of deployment segment. |
Key Trends | Adopting advanced technology and collaborating with the companies. |
Healthcare Fraud Detection Market:
Attributes | Healthcare Fraud Detection Market |
---|---|
CAGR (2022 to 2033) | 26% |
Market Value (2023) | US$ 2.38 billion |
Growth Factor | Insurance claim, misuse bill, payment integrity. |
Opportunity | The emergence of social media has a great impact on the healthcare sector. |
Key Trends | Improving the affordability of fraud detection solutions & several duplicate fraudulent claims. |
An increase in cybercrimes in the greed of making money by using some shortcut tactics is leading to an increase in the adoption of fraud detection and prevention market growth all around the globe during the forecast period.
Several end-users are losing their money while transacting online, which increases the sales of fraud detection and prevention software. Apart from taking money, acquiring your data related to business and companies and trying to misuse it generates the demand for fraud detection and prevention software.
It is likely to generate more revenue in the coming years.
Based on the fraud type segment, apart from check fraud, online fraud, investment fraud, insurance fraud, and identity fraud, payment fraud is likely to dominate the fraud detection and prevention market share during the forecast period.
Hackers steal money from your bank account with online intercept transactions; they use various tricks and hacks by fake WAP, cookie theft, key logger, viruses, phishing, and others.
Increasing cashless payments are boosting hackers to engage in online transactions on which they can complete their tasks. This factor leads to the adoption of fraud detection and prevention.
As per the market report on fraud detection and prevention, this factor is rising in the fraud detection and prevention statistics in the forthcoming year.
The segment is further categorized into BFSI, retail and commerce, government, healthcare, manufacturing, travel, and transportation based on the vertical segment. Retail and commerce are likely to lead the global market share of fraud detection and prevention in the forecast period.
Retail and commerce are expected to grow massively all around the globe due to buying products & services online and transacting payments through online payment modes, which raises the fraud detection and prevention market trends.
Many consumers spend time on retail and e-commerce websites to fulfill their desire for personal and home-use products.
Therefore, the hackers have targeted innocent customers & led scams. It is a powerful segment that contributes to fraud detection and prevention, as per the market survey report for sales of fraud detection and prevention services.
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Regions | Historic CAGR (2018 to 2022) |
---|---|
United States Market CAGR | 18.4% |
United Kingdom Market CAGR | 17.7% |
China Market CAGR | 18.1% |
Japan Market CAGR | 17.1% |
South Korea CAGR | 16.8% |
Regions | CAGR (2023 to 2033) |
---|---|
United States Market CAGR | 17.5% |
United Kingdom Market CAGR | 16.8% |
China Market CAGR | 18.9% |
Japan Market CAGR | 4.6% |
South Korea CAGR | 15.5% |
The United States market of the North American region is anticipated to dominate the fraud detection and prevention market size in the forecast period, with a CAGR of 16.7%.
Per the fraud detection and prevention market survey, the North American region is living with high-tech and cybernetic adoption compared to the other regions. This encourages hackers to attack the prominent region, which leads the way to increase fraud detection and prevention in North America.
The United Kingdom market is likely to stand second after the United States in the fraud detection and prevention market, which increases fraud detection and prevention adoption trends.
The United Kingdom market is anticipated with a CAGR of 16.4% during the forecast period. The United Kingdom is a wealthy country, and the country's quality of life is high with tourism, industries, and manufacturing; therefore, they need to secure their wealth around the industries with the adoption of fraud detection and prevention market.
Other countries such as China, Japan, and South Korea are also likely to rise in demand for fraud detection and prevention services in the coming year, given the rising amount of service-based industries in these countries.
The manufacturing and leading companies are the key competitors in the fraud detection and prevention market analysis. Some leading companies are BAE System plc, Nice Actimize, ACI Worldwide Inc., FICO, LexisNexis, TransUnion, Kount, Inc, and others.
Through mergers, acquisitions, partnerships, and collaborations, these companies are likely to increase revenue from adopting fraud detection and prevention services in the coming year. These prominent companies are going to raise the market demand for fraud detection and prevention solutions with advanced features in the forecast period.
Recent Developments in the Fraud Detection and Prevention Market
A CAGR of 17.5% is predicted for the coming years.
Japan held a growth rate of 17.1% in 2022.
Online fraud is contributing to the growth of the industry.
A CAGR of 18.9% is expected for China by 2033.
BAE System plc., Nice Actimize, and FICO are key players.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Components 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Components, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Components, 2023 to 2033 5.3.1. Solutions Fraud Analytics, Authentication, Government, Risk and Compliance 5.3.2. Services {Professional Services, Managed Services} 5.4. Y-o-Y Growth Trend Analysis By Components, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Components, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Fraud Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Fraud Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Fraud Type, 2023 to 2033 6.3.1. Check Fraud 6.3.2. Identity Fraud 6.3.3. Internet/Online Fraud 6.3.4. Investment Fraud 6.3.5. Payment Frauds 6.3.6. Insurance Fraud 6.3.7. Others 6.4. Y-o-Y Growth Trend Analysis By Fraud Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Fraud Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis by Deployment Mode, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Deployment Mode, 2023 to 2033 7.3.1. Cloud 7.3.2. On-premises 7.4. Y-o-Y Growth Trend Analysis by Deployment Mode, 2018 to 2022 7.5. Absolute $ Opportunity Analysis by Deployment Mode, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033 8.3.1. SMEs 8.3.2. Large Enterprises 8.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical 9.1. Introduction / Key Findings 9.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033 9.3.1. BFSI 9.3.2. Retail and Commerce 9.3.3. Government 9.3.4. Healthcare 9.3.5. Manufacturing 9.3.6. Ravel 9.3.7. Transportation 9.3.8. Others 9.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022 9.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 10.1. Introduction 10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 10.3.1. North America 10.3.2. Latin America 10.3.3. Western Europe 10.3.4. Eastern Europe 10.3.5. South Asia and Pacific 10.3.6. East Asia 10.3.7. Middle East and Africa 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. The USA 11.2.1.2. Canada 11.2.2. By Components 11.2.3. By Fraud Type 11.2.4. By Deployment Mode 11.2.5. By Organization Size 11.2.6. By Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Components 11.3.3. By Fraud Type 11.3.4. By Deployment Mode 11.3.5. By Organization Size 11.3.6. By Vertical 11.4. Key Takeaways 12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Brazil 12.2.1.2. Mexico 12.2.1.3. Rest of Latin America 12.2.2. By Components 12.2.3. By Fraud Type 12.2.4. By Deployment Mode 12.2.5. By Organization Size 12.2.6. By Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Components 12.3.3. By Fraud Type 12.3.4. By Deployment Mode 12.3.5. By Organization Size 12.3.6. By Vertical 12.4. Key Takeaways 13. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. Germany 13.2.1.2. United Kingdom 13.2.1.3. France 13.2.1.4. Spain 13.2.1.5. Italy 13.2.1.6. Rest of Western Europe 13.2.2. By Components 13.2.3. By Fraud Type 13.2.4. By Deployment Mode 13.2.5. By Organization Size 13.2.6. By Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Components 13.3.3. By Fraud Type 13.3.4. By Deployment Mode 13.3.5. By Organization Size 13.3.6. By Vertical 13.4. Key Takeaways 14. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. Poland 14.2.1.2. Russia 14.2.1.3. Czech Republic 14.2.1.4. Romania 14.2.1.5. Rest of Eastern Europe 14.2.2. By Components 14.2.3. By Fraud Type 14.2.4. By Deployment Mode 14.2.5. By Organization Size 14.2.6. By Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Components 14.3.3. By Fraud Type 14.3.4. By Deployment Mode 14.3.5. By Organization Size 14.3.6. By Vertical 14.4. Key Takeaways 15. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. India 15.2.1.2. Bangladesh 15.2.1.3. Australia 15.2.1.4. New Zealand 15.2.1.5. Rest of South Asia and Pacific 15.2.2. By Components 15.2.3. By Fraud Type 15.2.4. By Deployment Mode 15.2.5. By Organization Size 15.2.6. By Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Components 15.3.3. By Fraud Type 15.3.4. By Deployment Mode 15.3.5. By Organization Size 15.3.6. By Vertical 15.4. Key Takeaways 16. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. China 16.2.1.2. Japan 16.2.1.3. South Korea 16.2.2. By Components 16.2.3. By Fraud Type 16.2.4. By Deployment Mode 16.2.5. By Organization Size 16.2.6. By Vertical 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Components 16.3.3. By Fraud Type 16.3.4. By Deployment Mode 16.3.5. By Organization Size 16.3.6. By Vertical 16.4. Key Takeaways 17. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 17.2.1. By Country 17.2.1.1. GCC Countries 17.2.1.2. South Africa 17.2.1.3. Israel 17.2.1.4. Rest of MEA 17.2.2. By Components 17.2.3. By Fraud Type 17.2.4. By Deployment Mode 17.2.5. By Organization Size 17.2.6. By Vertical 17.3. Market Attractiveness Analysis 17.3.1. By Country 17.3.2. By Components 17.3.3. By Fraud Type 17.3.4. By Deployment Mode 17.3.5. By Organization Size 17.3.6. By Vertical 17.4. Key Takeaways 18. Key Countries Market Analysis 18.1. USA 18.1.1. Pricing Analysis 18.1.2. Market Share Analysis, 2022 18.1.2.1. By Components 18.1.2.2. By Fraud Type 18.1.2.3. By Deployment Mode 18.1.2.4. By Organization Size 18.1.2.5. By Vertical 18.2. Canada 18.2.1. Pricing Analysis 18.2.2. Market Share Analysis, 2022 18.2.2.1. By Components 18.2.2.2. By Fraud Type 18.2.2.3. By Deployment Mode 18.2.2.4. By Organization Size 18.2.2.5. By Vertical 18.3. Brazil 18.3.1. Pricing Analysis 18.3.2. Market Share Analysis, 2022 18.3.2.1. By Components 18.3.2.2. By Fraud Type 18.3.2.3. By Deployment Mode 18.3.2.4. By Organization Size 18.3.2.5. By Vertical 18.4. Mexico 18.4.1. Pricing Analysis 18.4.2. Market Share Analysis, 2022 18.4.2.1. By Components 18.4.2.2. By Fraud Type 18.4.2.3. By Deployment Mode 18.4.2.4. By Organization Size 18.4.2.5. By Vertical 18.5. Germany 18.5.1. Pricing Analysis 18.5.2. Market Share Analysis, 2022 18.5.2.1. By Components 18.5.2.2. By Fraud Type 18.5.2.3. By Deployment Mode 18.5.2.4. By Organization Size 18.5.2.5. By Vertical 18.6. United Kingdom 18.6.1. Pricing Analysis 18.6.2. Market Share Analysis, 2022 18.6.2.1. By Components 18.6.2.2. By Fraud Type 18.6.2.3. By Deployment Mode 18.6.2.4. By Organization Size 18.6.2.5. By Vertical 18.7. France 18.7.1. Pricing Analysis 18.7.2. Market Share Analysis, 2022 18.7.2.1. By Components 18.7.2.2. By Fraud Type 18.7.2.3. By Deployment Mode 18.7.2.4. By Organization Size 18.7.2.5. By Vertical 18.8. Spain 18.8.1. Pricing Analysis 18.8.2. Market Share Analysis, 2022 18.8.2.1. By Components 18.8.2.2. By Fraud Type 18.8.2.3. By Deployment Mode 18.8.2.4. By Organization Size 18.8.2.5. By Vertical 18.9. Italy 18.9.1. Pricing Analysis 18.9.2. Market Share Analysis, 2022 18.9.2.1. By Components 18.9.2.2. By Fraud Type 18.9.2.3. By Deployment Mode 18.9.2.4. By Organization Size 18.9.2.5. By Vertical 18.10. Poland 18.10.1. Pricing Analysis 18.10.2. Market Share Analysis, 2022 18.10.2.1. By Components 18.10.2.2. By Fraud Type 18.10.2.3. By Deployment Mode 18.10.2.4. By Organization Size 18.10.2.5. By Vertical 18.11. Russia 18.11.1. Pricing Analysis 18.11.2. Market Share Analysis, 2022 18.11.2.1. By Components 18.11.2.2. By Fraud Type 18.11.2.3. By Deployment Mode 18.11.2.4. By Organization Size 18.11.2.5. By Vertical 18.12. Czech Republic 18.12.1. Pricing Analysis 18.12.2. Market Share Analysis, 2022 18.12.2.1. By Components 18.12.2.2. By Fraud Type 18.12.2.3. By Deployment Mode 18.12.2.4. By Organization Size 18.12.2.5. By Vertical 18.13. Romania 18.13.1. Pricing Analysis 18.13.2. Market Share Analysis, 2022 18.13.2.1. By Components 18.13.2.2. By Fraud Type 18.13.2.3. By Deployment Mode 18.13.2.4. By Organization Size 18.13.2.5. By Vertical 18.14. India 18.14.1. Pricing Analysis 18.14.2. Market Share Analysis, 2022 18.14.2.1. By Components 18.14.2.2. By Fraud Type 18.14.2.3. By Deployment Mode 18.14.2.4. By Organization Size 18.14.2.5. By Vertical 18.15. Bangladesh 18.15.1. Pricing Analysis 18.15.2. Market Share Analysis, 2022 18.15.2.1. By Components 18.15.2.2. By Fraud Type 18.15.2.3. By Deployment Mode 18.15.2.4. By Organization Size 18.15.2.5. By Vertical 18.16. Australia 18.16.1. Pricing Analysis 18.16.2. Market Share Analysis, 2022 18.16.2.1. By Components 18.16.2.2. By Fraud Type 18.16.2.3. By Deployment Mode 18.16.2.4. By Organization Size 18.16.2.5. By Vertical 18.17. New Zealand 18.17.1. Pricing Analysis 18.17.2. Market Share Analysis, 2022 18.17.2.1. By Components 18.17.2.2. By Fraud Type 18.17.2.3. By Deployment Mode 18.17.2.4. By Organization Size 18.17.2.5. By Vertical 18.18. China 18.18.1. Pricing Analysis 18.18.2. Market Share Analysis, 2022 18.18.2.1. By Components 18.18.2.2. By Fraud Type 18.18.2.3. By Deployment Mode 18.18.2.4. By Organization Size 18.18.2.5. By Vertical 18.19. Japan 18.19.1. Pricing Analysis 18.19.2. Market Share Analysis, 2022 18.19.2.1. By Components 18.19.2.2. By Fraud Type 18.19.2.3. By Deployment Mode 18.19.2.4. By Organization Size 18.19.2.5. By Vertical 18.20. South Korea 18.20.1. Pricing Analysis 18.20.2. Market Share Analysis, 2022 18.20.2.1. By Components 18.20.2.2. By Fraud Type 18.20.2.3. By Deployment Mode 18.20.2.4. By Organization Size 18.20.2.5. By Vertical 18.21. GCC Countries 18.21.1. Pricing Analysis 18.21.2. Market Share Analysis, 2022 18.21.2.1. By Components 18.21.2.2. By Fraud Type 18.21.2.3. By Deployment Mode 18.21.2.4. By Organization Size 18.21.2.5. By Vertical 18.22. South Africa 18.22.1. Pricing Analysis 18.22.2. Market Share Analysis, 2022 18.22.2.1. By Components 18.22.2.2. By Fraud Type 18.22.2.3. By Deployment Mode 18.22.2.4. By Organization Size 18.22.2.5. By Vertical 18.23. Israel 18.23.1. Pricing Analysis 18.23.2. Market Share Analysis, 2022 18.23.2.1. By Components 18.23.2.2. By Fraud Type 18.23.2.3. By Deployment Mode 18.23.2.4. By Organization Size 18.23.2.5. By Vertical 19. Market Structure Analysis 19.1. Competition Dashboard 19.2. Competition Benchmarking 19.3. Market Share Analysis of Top Players 19.3.1. By Regional 19.3.2. By Components 19.3.3. By Fraud Type 19.3.4. By Deployment Mode 19.3.5. By Organization Size 19.3.6. By Vertical 20. Competition Analysis 20.1. Competition Deep Dive 20.1.1. BAE Systems plc 20.1.1.1. Overview 20.1.1.2. Product Portfolio 20.1.1.3. Profitability by Market Segments 20.1.1.4. Sales Footprint 20.1.1.5. Strategy Overview 20.1.1.5.1. Marketing Strategy 20.1.2. Nice Actimize 20.1.2.1. Overview 20.1.2.2. Product Portfolio 20.1.2.3. Profitability by Market Segments 20.1.2.4. Sales Footprint 20.1.2.5. Strategy Overview 20.1.2.5.1. Marketing Strategy 20.1.3. FICO 20.1.3.1. Overview 20.1.3.2. Product Portfolio 20.1.3.3. Profitability by Market Segments 20.1.3.4. Sales Footprint 20.1.3.5. Strategy Overview 20.1.3.5.1. Marketing Strategy 20.1.4. TransUnion 20.1.4.1. Overview 20.1.4.2. Product Portfolio 20.1.4.3. Profitability by Market Segments 20.1.4.4. Sales Footprint 20.1.4.5. Strategy Overview 20.1.4.5.1. Marketing Strategy 20.1.5. Kount, Inc 20.1.5.1. Overview 20.1.5.2. Product Portfolio 20.1.5.3. Profitability by Market Segments 20.1.5.4. Sales Footprint 20.1.5.5. Strategy Overview 20.1.5.5.1. Marketing Strategy 20.1.6. RSA Security LLC 20.1.6.1. Overview 20.1.6.2. Product Portfolio 20.1.6.3. Profitability by Market Segments 20.1.6.4. Sales Footprint 20.1.6.5. Strategy Overview 20.1.6.5.1. Marketing Strategy 20.1.7. Fiserv, Inc. 20.1.7.1. Overview 20.1.7.2. Product Portfolio 20.1.7.3. Profitability by Market Segments 20.1.7.4. Sales Footprint 20.1.7.5. Strategy Overview 20.1.7.5.1. Marketing Strategy 20.1.8. ACI Worldwide 20.1.8.1. Overview 20.1.8.2. Product Portfolio 20.1.8.3. Profitability by Market Segments 20.1.8.4. Sales Footprint 20.1.8.5. Strategy Overview 20.1.8.5.1. Marketing Strategy 20.1.9. SecuroNix 20.1.9.1. Overview 20.1.9.2. Product Portfolio 20.1.9.3. Profitability by Market Segments 20.1.9.4. Sales Footprint 20.1.9.5. Strategy Overview 20.1.9.5.1. Marketing Strategy 20.1.10. Feedzai 20.1.10.1. Overview 20.1.10.2. Product Portfolio 20.1.10.3. Profitability by Market Segments 20.1.10.4. Sales Footprint 20.1.10.5. Strategy Overview 20.1.10.5.1. Marketing Strategy 21. Assumptions & Acronyms Used 22. Research Methodology
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