시장보고서
상품코드
1852251

세계의 인공지능(AI) 기반 POS 사기 시장 보고서(2025년)

Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Global Market Report 2025

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

인공지능(AI) 기반 POS 사기 시장 규모는 최근 급격하게 확대되고 있습니다. 2024년 32억 2,000만 달러에서 2025년 39억 2,000만 달러에 달하고, CAGR 21.6%로 확대될 전망입니다. 이 역사적인 기간 동안의 성장은 사이버 사기 발생률 증가, 디지털 결제 거래량 증가, 규제 준수 요구 증가, 불법 소매 거래로 인한 금전적 손실 증가, 온라인 및 모바일 결제 플랫폼의 사용 확대 등에 기인합니다.

인공지능(AI) 기반 POS 사기 시장 규모는 향후 몇 년 동안 비약적인 성장이 예상됩니다. 2029년에는 CAGR 21.2%로 84억 7,000만 달러로 성장할 것입니다. 예측 기간 동안 예상되는 성장세는 디지털 결제 및 전자상거래 확대, 부정 방지 관련 규제 강화, 실시간 크로스채널 부정행위 감지에 대한 수요 증가, 디지털 결제 부정사고 증가, 확장성 높은 AI 솔루션의 중소기업 채택 확대 등에 기인합니다. 것으로 예측됩니다. 이 기간의 주요 동향으로는 적응형 부정 모델 개발, 실시간 트랜잭션 모니터링, 행동 분석의 통합, 딥러닝 알고리즘의 발전, 분산형 부정 감지 혁신 등을 꼽을 수 있습니다.

인공지능(AI) 기반 POS 사기는 AI 기술에 의해 촉진되거나 AI 기술에 의해 감지되는 POS 시스템을 대상으로 한 부정행위를 포함합니다. 여기에는 고도의 알고리즘을 사용하여 고도의 부정행위를 실행하고, 부정거래를 실시간으로 식별하고 방지하는 것이 포함됩니다.

AI를 활용한 POS 부정행위의 주요 구성요소는 소프트웨어, 하드웨어, 서비스입니다. 소프트웨어에는 거래를 조작하고, 합법적인 행동을 모방하고, 보안 조치를 우회하여 금융 데이터와 자금을 훔치도록 설계된 악의적인 AI 도구가 포함되어 있습니다. 이러한 솔루션은 부정행위 감지, 거래 모니터링, 신원 확인, 리스크 및 컴플라이언스 관리 등 다양한 유형이 있으며, On-Premise 또는 클라우드를 통해 구축할 수 있습니다. 이러한 솔루션은 중소기업부터 대기업까지 모든 규모의 조직을 대상으로 하며, 소매, 호텔, 은행 및 금융 서비스, 전자상거래 등 다양한 분야에 서비스를 제공합니다.

2025년 봄, 미국의 급속한 관세 강화와 이에 따른 무역 마찰은 금융 부문, 특히 투자 전략과 리스크 관리에 큰 영향을 미치고 있습니다. 관세 인상으로 인해 시장의 변동성이 커지면서 기관투자자들의 신중한 행동이 요구되고 헤지 수단에 대한 수요가 증가하고 있습니다. 은행과 자산운용사들은 관세로 인해 세계 공급망이 단절되고, 주식시장의 성과 촉진요인인 기업 수익이 악화되면서 국경 간 거래에 따른 비용 증가에 직면하고 있습니다. 한편, 보험사들은 공급망 혼란 및 무역 관련 사업 손실과 관련된 보험금 청구 위험 증가에 대응하고 있습니다. 또한, 개인소비 감소와 수출 수요 부진으로 신용 성장과 투자 의욕이 억제되고 있습니다. 지금 이 업계는 다각화, 디지털 전환, 탄탄한 시나리오 플래닝을 우선순위에 두고 경제의 불확실성 증가를 극복하고 수익성을 보호해야 합니다.

이 조사 보고서는 인공지능(AI) 강화 POS(Point of Sale) 산업 세계 시장 규모, 인공지능(AI) 강화 POS(Point of Sale) 시장 통계를 제공하는 The Business Research Company의 새로운 보고서 시리즈 중 하나이며, 인공지능(AI) 강화 POS(Point of Sale) 시장 규모, 지역, 지역별 점유율, 인공지능(AI) 탑재 POS 시장 점유율을 가진 경쟁사, 상세한 인공지능(AI) 탑재 POS 시장 부문, 시장 동향과 비즈니스 기회, 인공지능(AI) 탑재 POS 업계에서 성공하기 위해 필요한 데이터 등을 수록했습니다. 이 인공지능(AI) 기반 POS(Point of Sale) 시장 조사 보고서는 업계의 현재와 미래 시나리오에 대한 심층 분석을 통해 필요한 모든 관점을 제공합니다.

스마트폰과 인터넷 보급률 상승에 따른 디지털 결제 거래 증가가 인공지능(AI) 기반 POS 사기 시장의 성장을 가속하고 있습니다. 디지털 결제 솔루션은 접근이 쉽고 편리한 전자 송금을 제공하는 반면, 부정행위의 위험을 증가시킵니다. AI를 활용한 POS 부정감지는 거래 패턴을 실시간으로 분석하여 의심스러운 행위를 식별하고 예방함으로써 금융 리스크를 줄이고 결제 시스템에 대한 신뢰를 높입니다. 예를 들어, 2023년 유럽의 비접촉식 카드 결제는 24.3% 증가한 209억 건으로 급증할 것으로 예상되며, 디지털 결제에 대한 의존도가 높아지고 이에 따른 강력한 부정사용 감지 솔루션의 필요성이 부각되고 있습니다.

인공지능(AI) 기반 POS 사기 시장은 시스템 통합, 도입 지원, 교육 및 훈련, 부정 분석 아웃소싱, 유지보수 및 업그레이드, 리스크 평가 서비스, 컴플라이언스 지원 등의 서비스를 제공하는 사업자가 얻는 수익으로 구성됩니다. 시장 가치에는 서비스 제공업체가 판매하거나 서비스 제공에 포함된 관련 상품의 가치가 포함됩니다. 인공지능(AI) 기반 POS 사기 시장에는 부정행위 감지 소프트웨어, 거래 모니터링 도구, 실시간 리스크 스코어링 엔진, 행동 분석 플랫폼, 기기 지문인식 시스템, 경고 관리 대시보드, 이상 징후 감지 시스템 매출도 포함됩니다. 포함됩니다. 이 시장의 가치는 '팩토리 게이트'의 가치이며, 다른 사업체(다운스트림 제조업체, 도매업체, 유통업체, 소매업체 등)이든 직접 최종 고객이든, 상품의 제조자 또는 제작자가 판매한 상품의 가치입니다. 이 시장에서 상품의 가치에는 상품을 만든 사람이 판매하는 관련 서비스도 포함됩니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세, 그리고 코로나 팬데믹과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

  • 세계의 인공지능(AI) 기반 POS 사기 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인과 억제요인)
  • 최종 이용 산업 분석
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 성장률 분석
  • 세계의 인공지능(AI) 기반 POS 사기 시장 실적 : 규모와 성장, 2019-2024
  • 세계의 인공지능(AI) 기반 POS 사기 시장 예측 : 규모와 성장, 2024-2029, 2034F
  • 세계의 인공지능(AI) 기반 POS 사기 : 전체 시장 규모(TAM)

제6장 시장 세분화

  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 컴포넌트별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 소프트웨어
  • 하드웨어
  • 서비스
  • 세계의 인공지능(AI) 기반 POS 사기 시장 솔루션 유형별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 부정행위 감지
  • 트랜잭션 감시
  • 본인 확인
  • 리스크와 및 컴플라이언스 관리
  • 기타 솔루션 유형
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 전개 모드별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • On-Premise
  • 클라우드
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 조직 규모별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 중소기업
  • 대기업
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 최종사용자별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 소매
  • 호스피탈리티
  • 은행 및 금융 서비스
  • E-Commerce
  • 기타 최종사용자
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 소프트웨어(유형별), 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 트랜잭션 모니터링 소프트웨어
  • 부정 감지 소프트웨어
  • 리스크 관리 소프트웨어
  • 행동 분석 소프트웨어
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 하드웨어(유형별), 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • POS 단말기
  • 생체인식 디바이스
  • 카드 리더
  • 안전한 결제 게이트웨이
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 서비스(유형별), 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 사기 조사 서비스
  • 컨설팅 및 자문 서비스
  • 구현 및 통합 서비스
  • 트레이닝 및 지원 서비스

제7장 지역별/국가별 분석

  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 지역별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
  • 세계의 인공지능(AI) 기반 POS 사기 시장 : 국가별, 분석과 예측, 2019-2024, 2024-2029F, 2034F

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

  • 인공지능(AI) 기반 POS 사기 시장 : 경쟁 구도
  • 인공지능(AI) 기반 POS 사기 시장 : 기업 개요
    • Amazon Web Services Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • International Business Machines Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Oracle Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
    • PayPal Holdings Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
    • Stripe Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석

제31장 기타 주요 기업 및 혁신 기업

  • ClearSale S.A.
  • Jumio Corporation
  • Feedzai S.A.
  • Signifyd Inc.
  • Matellio Inc.
  • Neural Technologies Ltd.
  • DataVisor Inc.
  • ZestFinance Inc.
  • Hawk AI GmbH
  • Ginesys
  • Tookitaki Holding Pte Ltd.
  • ComplyAdvantage Ltd.
  • DataDome SAS
  • Sift Science Inc.
  • Sardine AI Corp.

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

  • 인공지능(AI) 기반 POS 사기 시장(2029년) : 새로운 기회를 제공하는 국가
  • 인공지능(AI) 기반 POS 사기 시장(2029년) : 새로운 기회를 제공하는 부문
  • 인공지능(AI) 기반 POS 사기 시장(2029년) : 성장 전략
    • 시장 동향에 근거한 전략
    • 경쟁 전략

제36장 부록

LSH

Artificial intelligence (AI)-enhanced point-of-sale (POS) fraud involves fraudulent activities targeting POS systems that are either facilitated by or detected through AI technologies. This includes using advanced algorithms to carry out sophisticated fraud or to identify and prevent unauthorized transactions in real time.

The primary components of AI-enhanced POS fraud consist of software, hardware, and services. Software encompasses malicious AI tools designed to manipulate transactions, imitate legitimate behavior, and bypass security measures to steal financial data or funds. These solutions come in various types, including fraud detection, transaction monitoring, identity verification, risk and compliance management, among others, and can be deployed on-premises or via the cloud. They are intended for organizations of all sizes, ranging from small and medium enterprises to large corporations, and serve multiple sectors such as retail, hospitality, banking and financial services, e-commerce, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

The artificial intelligence (AI)-enhanced point-of-sale (POS) market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-enhanced point-of-sale (POS) market statistics, including artificial intelligence (AI)-enhanced point-of-sale (POS) industry global market size, regional shares, competitors with an artificial intelligence (AI)-enhanced point-of-sale (POS) market share, detailed artificial intelligence (AI)-enhanced point-of-sale (POS) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-enhanced point-of-sale (POS) industry. This artificial intelligence (AI)-enhanced point-of-sale (POS) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market size has grown exponentially in recent years. It will grow from $3.22 billion in 2024 to $3.92 billion in 2025 at a compound annual growth rate (CAGR) of 21.6%. The growth during the historic period can be credited to the rising incidence of cyber fraud, increased volumes of digital payment transactions, heightened regulatory compliance demands, growing financial losses due to fraudulent retail transactions, and the expanding use of online and mobile payment platforms.

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market size is expected to see exponential growth in the next few years. It will grow to $8.47 billion in 2029 at a compound annual growth rate (CAGR) of 21.2%. The growth expected in the forecast period can be attributed to the expansion of digital payments and e-commerce, stricter regulatory requirements for fraud prevention, an increasing demand for real-time cross-channel fraud detection, rising incidents of digital payment fraud, and greater adoption by small and medium enterprises due to scalable AI solutions. Key trends during this period include the development of adaptive fraud models, real-time transaction monitoring, integration of behavioral analytics, advancements in deep learning algorithms, and innovations in decentralized fraud detection.

The rise in digital payment transactions, driven by increased smartphone and internet penetration, is fueling the growth of the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market. Digital payment solutions offer accessible and convenient electronic money transfers, but also increase the risk of fraudulent activities. AI-powered POS fraud detection addresses this by analyzing transaction patterns in real time to identify and prevent suspicious activities, thereby reducing financial risks and enhancing trust in payment systems. For example, in 2023, contactless card payments in Europe surged by 24.3% to 20.9 billion, highlighting the growing reliance on digital payments and the consequent need for robust fraud detection solutions.

Major companies in the AI-enhanced point-of-sale (POS) fraud market are developing advanced AI-powered fraud detection platforms to improve real-time transaction security and minimize financial losses. These platforms use efficient AI algorithms to quickly identify and prevent fraudulent activities without heavy computational demands. For example, in July 2025, India-based Subex Limited launched FraudZap, a lightweight AI fraud detection system designed for telecom operators. FraudZap offers high agility and precision, enabling rapid deployment and real-time fraud control through continuously learning AI models, all while keeping costs and implementation efforts low.

In December 2024, Visa Inc., a US-based digital payments and fintech leader, acquired UK-based Featurespace Limited for $0.945 billion to strengthen its global fraud detection capabilities. This acquisition enables Visa to integrate Featurespace's AI-powered real-time payments protection technology, enhancing security, reducing financial crime, and delivering seamless fraud prevention solutions for both clients and consumers in the point-of-sale (POS) environment.

Major players in the artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market are Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, PayPal Holdings Inc., Stripe Inc., ClearSale S.A., Jumio Corporation, Feedzai S.A., Signifyd Inc., Matellio Inc., Neural Technologies Ltd., DataVisor Inc., ZestFinance Inc., Hawk AI GmbH, Ginesys, Tookitaki Holding Pte Ltd., ComplyAdvantage Ltd., DataDome SAS, Sift Science Inc., and Sardine AI Corp.

North America was the largest region in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-enhanced point-of-sale (POS) fraud report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market consists of revenues earned by entities by providing services such as system integration, deployment support, training and education, fraud analytics outsourcing, maintenance and upgrades, risk assessment services, and compliance support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-enhanced point-of-sale (POS) fraud market also includes sales of fraud detection software, transaction monitoring tools, real-time risk scoring engines, behavioral analytics platforms, device fingerprinting systems, alert management dashboards, and anomaly detection systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence (ai)-enhanced point-of-sale (pos) fraud ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-enhanced point-of-sale (pos) fraud market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Solution Type: Fraud Detection; Transaction Monitoring; Identity Verification; Risk And Compliance Management; Other Solution Types
  • 3) By Deployment Mode: On-Premises; Cloud
  • 4) By Organization Size: Small And Medium Enterprises; Large Enterprises
  • 5) By End-User: Retail; Hospitality; Banking And Financial Services; E-commerce; Other End Users
  • Subsegments:
  • 1) By Software: Transaction Monitoring Software; Fraud Detection Software; Risk Management Software; Behavioral Analytics Software
  • 2) By Hardware: Point-Of-Sale Terminals; Biometric Authentication Devices; Card Readers; Secure Payment Gateways
  • 3) By Services: Fraud Investigation Services; Consulting And Advisory Services; Implementation And Integration Services; Training And Support Services
  • Companies Mentioned: Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation; PayPal Holdings Inc.; Stripe Inc.; ClearSale S.A.; Jumio Corporation; Feedzai S.A.; Signifyd Inc.; Matellio Inc.; Neural Technologies Ltd.; DataVisor Inc.; ZestFinance Inc.; Hawk AI GmbH; Ginesys; Tookitaki Holding Pte Ltd.; ComplyAdvantage Ltd.; DataDome SAS; Sift Science Inc.; Sardine AI Corp.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Characteristics

3. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Trends And Strategies

4. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Detection
  • Transaction Monitoring
  • Identity Verification
  • Risk And Compliance Management
  • Other Solution Types
  • 6.3. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.4. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.5. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Retail
  • Hospitality
  • Banking And Financial Services
  • E-commerce
  • Other End Users
  • 6.6. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Transaction Monitoring Software
  • Fraud Detection Software
  • Risk Management Software
  • Behavioral Analytics Software
  • 6.7. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Point-Of-Sale Terminals
  • Biometric Authentication Devices
  • Card Readers
  • Secure Payment Gateways
  • 6.8. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Investigation Services
  • Consulting And Advisory Services
  • Implementation And Integration Services
  • Training And Support Services

7. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 9.1. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 9.2. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 10.1. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 11.1. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 12.1. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 14.1. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 16.1. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 17.1. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 18.1. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 19.1. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 20.1. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 22.1. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 23.1. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 24.1. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 25.1. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 26.1. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 27.1. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 28.1. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

  • 29.1. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Company Profiles
    • 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. PayPal Holdings Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Stripe Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Other Major And Innovative Companies

  • 31.1. ClearSale S.A.
  • 31.2. Jumio Corporation
  • 31.3. Feedzai S.A.
  • 31.4. Signifyd Inc.
  • 31.5. Matellio Inc.
  • 31.6. Neural Technologies Ltd.
  • 31.7. DataVisor Inc.
  • 31.8. ZestFinance Inc.
  • 31.9. Hawk AI GmbH
  • 31.10. Ginesys
  • 31.11. Tookitaki Holding Pte Ltd.
  • 31.12. ComplyAdvantage Ltd.
  • 31.13. DataDome SAS
  • 31.14. Sift Science Inc.
  • 31.15. Sardine AI Corp.

32. Global Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

34. Recent Developments In The Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market

35. Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Enhanced Point-Of-Sale (POS) Fraud Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer
샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제