The global AI in fraud management market is expected to attain a valuation of USD 10,437.3 million in 2023, and is projected to reach USD 57,146.8 million by 2033. The market is expected to flourish at a CAGR of 18.5% from 2023 to 2033.
Increasing investments by key market players to introduce secure fraud solutions across industries such as manufacturing, BFSI, healthcare, and others are expected to fuel market growth. Governments and end-use enterprises worldwide are actively investing in advanced fraud prevention solutions. The market is also driven by the growing focus of end-users on e-commerce platforms. Prominent market players are employing diverse business strategies to expand their product offerings and capture market opportunities.
In October 2020, BAE Systems and Guidewire Software joined forces to launch and develop fraud prevention solutions by integrating NetReveal into Guidewire's ClaimCenter platform. The rise in online insurance claims has created opportunities for fraudulent activities in hospitals and government sectors. As a result, there is an increasing demand for solutions in the government and healthcare sectors to combat these fraudulent activities.
The increased adoption of online applications and mobile banking services has resulted in a surge of fake websites and mobile applications. This trend extends beyond the banking sector to industries like retail & e-commerce, manufacturing, and healthcare. These fraudulent websites and applications mimic legitimate retail stores and home delivery services, deceiving customers into engaging in fake online transactions. In the banking sector, customers heavily rely on mobile applications for tasks like online payments, statement reviews, lodging complaints, providing feedback, and more.
| Report Attribute | Details |
|---|---|
| Expected Market Value (2023) | USD 10,437.3 million |
| Anticipated Forecast Value (2033) | USD 57,146.8 million |
| Projected Growth Rate (2023 to 2033) | CAGR 18.5% |
The AI in fraud management market was worth USD 4.8 million in 2018. It accumulated a market value of USD 8.9 million in 2022 while growing at a CAGR of 12.7% from 2023 to 2033.
Sophistication in financial crimes, cyberattacks, and digital frauds are challenging the growth of several businesses worldwide. Growing concerns regarding digital frauds, despite technological advancements facilitating the ease of payment options or data access, calls for the deployment of fraud detection solutions.
The increasing popularity of digital payment apps, cross-border transactions, and e-banking, the number of fraudulent cases involving data breaches, rising payment frauds, and identity thefts are likely to augment the demand for AI based fraud management solutions over the coming years.
The demand for AI in fraud management from the data science team is increasing significantly due to its application in enhancing security across several business sectors, including retail and financial, and others.
These advanced fraud management solutions use an AI-based detection technology assisted by human sciences and machine learning to address challenges like money laundering, reducing false alerts, and automating fintech investigations. The global AI in fraud management growth scenario is anticipated to witness an increase in revenue from USD 10,437.3 million in 2023 to USD 57,146.8 million by 2033.
Rapid development in technology is indicating that more business processes can now be automated. Initially this meant that machines and software can relieve workers of boring, routine tasks. Big data, machine learning and artificial intelligence are also making it possible to automate more complex tasks, but many of these projects either fail or fall short of expectations.
Digital transformation means that processes, prices and rules are changing faster than ever before. If they are to survive, businesses have to think and act with agility. To do this, they need to embrace the latest technology and develop the right mindset amongst their staff.
More than ever before, success depends on businesses being faster and more agile than their competitors. For example, online customers expect fast delivery of their goods or an instant quote when seeking to buy insurance. But providing this service usually involves some complex decisions about why a particular product or offer is suitable – or not.
Intelligent automation (IA) integrates every aspect of turning findings into actions. It combines human knowledge from subject matter experts with data-driven artificial intelligence and uses powerful automation software to enable instant action.
Lack of Skilled Professionals to Restrain Market Growth
Dearth of professionals and skilled workforce to update the fraud detection and prevention solutions across the developing countries is expected to restrain market growth during the forecast period.
North America is predicted to remain one of the most attractive markets during the forecast period. The region accumulated a revenue share of 29.4% in 2022. United States alone accounted for a revenue share of 20.9% in the same year. United States is expected to account for more than 85% of the North America share through 2033.
The United States is the largest market for AI in fraud management, due to the strong presence of AI-powered fraud management software and service providers, in the United States. This is attributed to the increase in demand for advanced fraud management solutions in various industries such as banking, financial services, and insurance (BFSI), consumer goods and retail, telecommunication, healthcare, and others.
The United States is the most affected nation across the globe by money laundering and terrorist financing crime activities. Hence, the demand for AI-based fraud management solutions would increase across the country, during the forecast period.
Demand for AI in fraud management platforms in the United Kingdom is expected to rise at an impressive 18.2% CAGR over the forecast period. The United Kingdom economy is increasingly powered by big data, platform business models, advanced analytics, smartphone technology and peer-to-peer networks. At the same time, innovation in the financial sector is dramatically changing the markets.
The demand for AI in fraud management solutions is growing in the United Kingdom due to the rise in network crimes and frauds and advanced cyber and bot attacks. The United Kingdom AI in fraud management market is witnessing significant growth opportunities due to the major players focusing on expanding their presence in various verticals, such as BFSI, telecommunication, retail, government/public sector, and manufacturing. Insurance frauds are the major issues faced by European countries.
Rising cases of money laundering and terrorist financing are considered primary threats in the United Kingdom because of which the European Banking Authority (EBA) has declared the fraud management to be the topmost priority for the EU in 2020.
The sales in India is estimated to increase at an impressive rate of around 19.4% CAGR between 2023 and 2033. The country is offering growth opportunities for the sales of AI in fraud management solutions, owing to the government’s policies related to financial and payment transactions and implications for international business.
Governments, banks, and financial institutes in India are facing fraud-related challenges, which are compelling them to adopt advanced technologies such as AI-based and machine learning approaches.
Demand for AI in fraud management solutions in China is estimated to total USD 920 million by the end of 2023. The market in this region is expected to grow with a CAGR of 21.2% during the forecast period. In China, the market will gain from the penetration of smartphones and ecommerce boon, which also increased the threat of online and mobile fraud. Hence, the demand for sophisticated fraud preventive measures is on the rise.
China is a huge and growing market and card fraud, to date, has not been a major problem in relation to the value of transactions. Nevertheless, recently, Beijing prosecutors called on banks to review credit card applications more carefully and credit card fraud accounted for 88% of financial crime cases heard in Shanghai courts. The majority of these cases involved credit card fraud, ID theft, and malicious overdrafts.
As mobile and ecommerce platforms continue to grow at a rapid rate, so is the need for more advanced fraud management techniques, which will be critical for online merchants seeking to capitalize on the growing market of China.
Based on software, AI-powered fraud prevention software accounted for a revenue share of 73.5% in 2022. It is expected to accumulate over 74% market share in 2023. This segment is anticipated to grow with a CAGR of 19.4% throughout the forecast period. AI based fraud management solutions can provide real-time screening of transactions and other confidential data related activities happening across channels, accounts, users, and processes.
Moreover, the vendors of AI in fraud management solutions are focusing on advancements in AI by the integration of machine learning. AI-powered fraud prevention software offers different features such as enhanced flexibility, complex digital fraud prevention, and AI-powered real-time monitoring systems. The reliability of such features drives the demand for AI in the fraud management solutions.
The identity theft protection application segment is projected to register growth at a CAGR of 20% over the coming years. Over the past few years, the world has witnessed several unexpected identity theft cases. These cyber-criminal acts have alarmed law enforcement agencies around the world and compelled them to implement strict rules and regulations.
Artificial intelligence can be combined with human intelligence to improve the verification process and make it effortless. Furthermore, machine learning can prove to be very competent when it comes to identity fraud prevention. Not only machine learning-based solutions are user-friendly but also capable of identifying the difference between good and bad IDs.
The large enterprises segment accounted for nearly 63.2% of the overall market share in 2022, and is expected to continue its dominance during the forecast period. The segment is expected to grow with a CAGR of 17.8% during the forecast period. This growth is attributable to the emerging trend of digitalization to adopt advanced and more sophisticated security software and applications.
Investments in deploying preventive measures are among critical business strategies undertaken to ensure organizational data security. Fraudulent activities ranging from money laundering and phishing to distributed denial-of-service are prevalent among large enterprises. Therefore, it is essential for large enterprises to adopt preventive fraud management solutions and services.
The BFSI segment is expected to contribute a revenue share of close to 25.4% in 2023 and is expected to maintain its dominance in the upcoming years owing to rapid digitization. Automation of operations in the sector have made the banking and financial services industry a popular target among cybercriminals.
The growing popularity of products, such as mutual funds, stockbroking, and insurance, among consumers to digitally access their bank accounts and complete transactions has fuelled the need for the adoption of preventive tools to track frauds and their activities.
Start-ups are crucial in identifying growth opportunities, including AI in fraud management market. They efficiently convert inputs to outputs and adapt to market changes, contributing to the industry's expansion. Some start-ups are expected to drive growth in the AI in fraud management market.
The AI in fraud management market is highly competitive, with several key industry players investing heavily in the production of these services.
The key industry players are IBM Corporation, Cognizant, Temenos AG, Capgemini SE, Subex Limited, JuicyScore, Hewlett Packard Enterprise, MaxMind, Inc., BAE Systems plc, Pelican, SAS Institute Inc., Splunk, Inc., DataVisor, Inc., Matellio Inc., ACTICO GmbH.
Some recent developments in the market are:
Key industry players are utilizing organic growth strategies like acquisition, mergers, tie-ups, and collaboration to bolster their product portfolio. This is expected to propel the global AI in fraud management market.
| Report Attribute | Details |
|---|---|
| Market Value in 2023 | USD 10,437.3 million |
| Market Value in 2033 | USD 57,146.8 million |
| Growth Rate | CAGR of 18.5% from 2023 to 2033 |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in USD million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered | Solution, Application, Enterprise Size, Industry, Region |
| Regions Covered | North America; Latin America; Europe; South Asia; East Asia; Oceania; Middle East & Africa |
| Key Countries Profiled | United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Spain, Italy, India, Malaysia, Singapore, Thailand, China, Japan, South Korea, Australia, New Zealand, GCC Countries, South Africa, Israel |
| Key Companies Profiled | IBM Corporation; Cognizant; Temenos AG; Capgemini SE; Subex Limited; JuicyScore; Hewlett Packard Enterprise; MaxMind Inc.; BAE Systems plc; Pelican; SAS Institute Inc.; Splunk Inc.; DataVisor Inc.; Matellio Inc.; ACTICO GmbH |
| Customization & Pricing | Available Upon Request |
Table 1: Global Market Value (US$ Million) Forecast by Region, 2018 to 2033
Table 2: Global Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 3: Global Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 4: Global Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 5: Global Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 6: North America Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 7: North America Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 8: North America Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 9: North America Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 10: North America Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 11: Latin America Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 12: Latin America Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 13: Latin America Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 14: Latin America Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 15: Latin America Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 16: Europe Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 17: Europe Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 18: Europe Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 19: Europe Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 20: Europe Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 21: South Asia Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 22: South Asia Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 23: South Asia Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 24: South Asia Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 25: South Asia Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 26: East Asia Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 27: East Asia Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 28: East Asia Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 29: East Asia Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 30: East Asia Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 31: Oceania Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 32: Oceania Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 33: Oceania Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 34: Oceania Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 35: Oceania Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Table 36: MEA Market Value (US$ Million) Forecast by Country, 2018 to 2033
Table 37: MEA Market Value (US$ Million) Forecast by Solution, 2018 to 2033
Table 38: MEA Market Value (US$ Million) Forecast by Application, 2018 to 2033
Table 39: MEA Market Value (US$ Million) Forecast by Enterprise Size, 2018 to 2033
Table 40: MEA Market Value (US$ Million) Forecast by Industry, 2018 to 2033
Figure 1: Global Market Value (US$ Million) by Solution, 2023 to 2033
Figure 2: Global Market Value (US$ Million) by Application, 2023 to 2033
Figure 3: Global Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 4: Global Market Value (US$ Million) by Industry, 2023 to 2033
Figure 5: Global Market Value (US$ Million) by Region, 2023 to 2033
Figure 6: Global Market Value (US$ Million) Analysis by Region, 2018 to 2033
Figure 7: Global Market Value Share (%) and BPS Analysis by Region, 2023 to 2033
Figure 8: Global Market Y-o-Y Growth (%) Projections by Region, 2023 to 2033
Figure 9: Global Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 10: Global Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 11: Global Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 12: Global Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 13: Global Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 14: Global Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 15: Global Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 16: Global Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 17: Global Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 18: Global Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 19: Global Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 20: Global Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 21: Global Market Attractiveness by Solution, 2023 to 2033
Figure 22: Global Market Attractiveness by Application, 2023 to 2033
Figure 23: Global Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 24: Global Market Attractiveness by Industry, 2023 to 2033
Figure 25: Global Market Attractiveness by Region, 2023 to 2033
Figure 26: North America Market Value (US$ Million) by Solution, 2023 to 2033
Figure 27: North America Market Value (US$ Million) by Application, 2023 to 2033
Figure 28: North America Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 29: North America Market Value (US$ Million) by Industry, 2023 to 2033
Figure 30: North America Market Value (US$ Million) by Country, 2023 to 2033
Figure 31: North America Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 32: North America Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 33: North America Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 34: North America Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 35: North America Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 36: North America Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 37: North America Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 38: North America Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 39: North America Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 40: North America Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 41: North America Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 42: North America Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 43: North America Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 44: North America Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 45: North America Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 46: North America Market Attractiveness by Solution, 2023 to 2033
Figure 47: North America Market Attractiveness by Application, 2023 to 2033
Figure 48: North America Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 49: North America Market Attractiveness by Industry, 2023 to 2033
Figure 50: North America Market Attractiveness by Country, 2023 to 2033
Figure 51: Latin America Market Value (US$ Million) by Solution, 2023 to 2033
Figure 52: Latin America Market Value (US$ Million) by Application, 2023 to 2033
Figure 53: Latin America Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 54: Latin America Market Value (US$ Million) by Industry, 2023 to 2033
Figure 55: Latin America Market Value (US$ Million) by Country, 2023 to 2033
Figure 56: Latin America Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 57: Latin America Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 58: Latin America Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 59: Latin America Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 60: Latin America Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 61: Latin America Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 62: Latin America Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 63: Latin America Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 64: Latin America Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 65: Latin America Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 66: Latin America Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 67: Latin America Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 68: Latin America Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 69: Latin America Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 70: Latin America Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 71: Latin America Market Attractiveness by Solution, 2023 to 2033
Figure 72: Latin America Market Attractiveness by Application, 2023 to 2033
Figure 73: Latin America Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 74: Latin America Market Attractiveness by Industry, 2023 to 2033
Figure 75: Latin America Market Attractiveness by Country, 2023 to 2033
Figure 76: Europe Market Value (US$ Million) by Solution, 2023 to 2033
Figure 77: Europe Market Value (US$ Million) by Application, 2023 to 2033
Figure 78: Europe Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 79: Europe Market Value (US$ Million) by Industry, 2023 to 2033
Figure 80: Europe Market Value (US$ Million) by Country, 2023 to 2033
Figure 81: Europe Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 82: Europe Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 83: Europe Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 84: Europe Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 85: Europe Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 86: Europe Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 87: Europe Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 88: Europe Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 89: Europe Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 90: Europe Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 91: Europe Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 92: Europe Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 93: Europe Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 94: Europe Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 95: Europe Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 96: Europe Market Attractiveness by Solution, 2023 to 2033
Figure 97: Europe Market Attractiveness by Application, 2023 to 2033
Figure 98: Europe Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 99: Europe Market Attractiveness by Industry, 2023 to 2033
Figure 100: Europe Market Attractiveness by Country, 2023 to 2033
Figure 101: South Asia Market Value (US$ Million) by Solution, 2023 to 2033
Figure 102: South Asia Market Value (US$ Million) by Application, 2023 to 2033
Figure 103: South Asia Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 104: South Asia Market Value (US$ Million) by Industry, 2023 to 2033
Figure 105: South Asia Market Value (US$ Million) by Country, 2023 to 2033
Figure 106: South Asia Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 107: South Asia Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 108: South Asia Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 109: South Asia Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 110: South Asia Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 111: South Asia Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 112: South Asia Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 113: South Asia Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 114: South Asia Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 115: South Asia Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 116: South Asia Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 117: South Asia Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 118: South Asia Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 119: South Asia Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 120: South Asia Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 121: South Asia Market Attractiveness by Solution, 2023 to 2033
Figure 122: South Asia Market Attractiveness by Application, 2023 to 2033
Figure 123: South Asia Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 124: South Asia Market Attractiveness by Industry, 2023 to 2033
Figure 125: South Asia Market Attractiveness by Country, 2023 to 2033
Figure 126: East Asia Market Value (US$ Million) by Solution, 2023 to 2033
Figure 127: East Asia Market Value (US$ Million) by Application, 2023 to 2033
Figure 128: East Asia Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 129: East Asia Market Value (US$ Million) by Industry, 2023 to 2033
Figure 130: East Asia Market Value (US$ Million) by Country, 2023 to 2033
Figure 131: East Asia Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 132: East Asia Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 133: East Asia Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 134: East Asia Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 135: East Asia Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 136: East Asia Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 137: East Asia Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 138: East Asia Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 139: East Asia Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 140: East Asia Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 141: East Asia Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 142: East Asia Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 143: East Asia Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 144: East Asia Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 145: East Asia Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 146: East Asia Market Attractiveness by Solution, 2023 to 2033
Figure 147: East Asia Market Attractiveness by Application, 2023 to 2033
Figure 148: East Asia Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 149: East Asia Market Attractiveness by Industry, 2023 to 2033
Figure 150: East Asia Market Attractiveness by Country, 2023 to 2033
Figure 151: Oceania Market Value (US$ Million) by Solution, 2023 to 2033
Figure 152: Oceania Market Value (US$ Million) by Application, 2023 to 2033
Figure 153: Oceania Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 154: Oceania Market Value (US$ Million) by Industry, 2023 to 2033
Figure 155: Oceania Market Value (US$ Million) by Country, 2023 to 2033
Figure 156: Oceania Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 157: Oceania Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 158: Oceania Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 159: Oceania Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 160: Oceania Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 161: Oceania Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 162: Oceania Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 163: Oceania Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 164: Oceania Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 165: Oceania Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 166: Oceania Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 167: Oceania Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 168: Oceania Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 169: Oceania Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 170: Oceania Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 171: Oceania Market Attractiveness by Solution, 2023 to 2033
Figure 172: Oceania Market Attractiveness by Application, 2023 to 2033
Figure 173: Oceania Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 174: Oceania Market Attractiveness by Industry, 2023 to 2033
Figure 175: Oceania Market Attractiveness by Country, 2023 to 2033
Figure 176: MEA Market Value (US$ Million) by Solution, 2023 to 2033
Figure 177: MEA Market Value (US$ Million) by Application, 2023 to 2033
Figure 178: MEA Market Value (US$ Million) by Enterprise Size, 2023 to 2033
Figure 179: MEA Market Value (US$ Million) by Industry, 2023 to 2033
Figure 180: MEA Market Value (US$ Million) by Country, 2023 to 2033
Figure 181: MEA Market Value (US$ Million) Analysis by Country, 2018 to 2033
Figure 182: MEA Market Value Share (%) and BPS Analysis by Country, 2023 to 2033
Figure 183: MEA Market Y-o-Y Growth (%) Projections by Country, 2023 to 2033
Figure 184: MEA Market Value (US$ Million) Analysis by Solution, 2018 to 2033
Figure 185: MEA Market Value Share (%) and BPS Analysis by Solution, 2023 to 2033
Figure 186: MEA Market Y-o-Y Growth (%) Projections by Solution, 2023 to 2033
Figure 187: MEA Market Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 188: MEA Market Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 189: MEA Market Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 190: MEA Market Value (US$ Million) Analysis by Enterprise Size, 2018 to 2033
Figure 191: MEA Market Value Share (%) and BPS Analysis by Enterprise Size, 2023 to 2033
Figure 192: MEA Market Y-o-Y Growth (%) Projections by Enterprise Size, 2023 to 2033
Figure 193: MEA Market Value (US$ Million) Analysis by Industry, 2018 to 2033
Figure 194: MEA Market Value Share (%) and BPS Analysis by Industry, 2023 to 2033
Figure 195: MEA Market Y-o-Y Growth (%) Projections by Industry, 2023 to 2033
Figure 196: MEA Market Attractiveness by Solution, 2023 to 2033
Figure 197: MEA Market Attractiveness by Application, 2023 to 2033
Figure 198: MEA Market Attractiveness by Enterprise Size, 2023 to 2033
Figure 199: MEA Market Attractiveness by Industry, 2023 to 2033
Figure 200: MEA Market Attractiveness by Country, 2023 to 2033
The United States market will generate 85% revenue by 2033.
China may witness significant growth in the AI in fraud management market.
Shift and Owl technologies are expected to drive AI in fraud management sales.
Machine learning environments may drive market growth over the coming years.
The market recorded a CAGR of 12.7% in 2022.
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AI in Fraud Management Market
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