Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Global Market Report 2025
상품코드:1852270
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
ㅁ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송기일은 문의해 주시기 바랍니다.
한글목차
인공지능(AI) 기반 디지털 커머스 사기 방지 시장 규모가 최근 급격히 확대되고 있습니다. 2024년 68억 4,000만 달러에서 2025년 85억 1,000만 달러에 달하고, CAGR 24.3%로 확대될 전망입니다. 온라인 거래 증가, 거래 보안에 대한 인식 증가, 금융 서비스에서 신원 확인에 대한 수요 증가, 지불 거절 감소에 대한 강조, 디지털 결제 방식에 대한 소비자 선호도 증가로 인해 지난 몇 년 동안 성장세를 보였습니다.
인공지능(AI) 기반 디지털 커머스 사기 방지 시장 규모는 향후 몇 년 동안 비약적인 성장이 예상됩니다. 2029년 연평균 성장률(CAGR)은 23.9%로 200억 4,000만 달러에 달할 것으로 예측됩니다. 실시간 거래 모니터링에 대한 수요 증가, 온라인 소매 플랫폼의 확대, 고객 신뢰와 충성도에 대한 관심 증가, 고액 거래의 안전에 대한 요구 증가, 옴니채널 거래의 안전에 대한 관심 증가 등이 예측 기간 동안 성장의 배경이 될 것으로 예측됩니다. 이 기간 동안 예상되는 주요 동향으로는 다계층 보안 프레임워크의 발전, 통합형 부정 감지 모델의 혁신, 신원 확인 워크플로우의 개선, 지리적 위치 기반 보안 프로토콜의 채택, 고도화된 부정 위험 점수화 모델 개발 등이 있습니다.
AI를 활용한 디지털 커머스 사기 방지는 인공지능 알고리즘을 사용하여 온라인 거래에서 사기 행위를 감지, 예방, 완화하는 기술 솔루션입니다. 거래 패턴 분석, 이상 징후 식별, 의심스러운 행동에 대한 실시간 플래그 지정, 새로운 데이터로부터의 지속적인 학습을 통해 정확도를 향상시키고 진화하는 사기 수법에 적응하면서 금융 리스크를 줄입니다.
AI를 활용한 디지털 커머스 사기 방지의 핵심 구성 요소에는 소프트웨어 및 서비스가 포함됩니다. 소프트웨어는 자동화된 작업을 수행하고, 데이터를 처리하며, 전체 컴퓨팅 시스템의 운영을 간소화하는 디지털 도구와 용도으로 구성됩니다. 이러한 솔루션은 On-Premise 또는 클라우드를 통해 도입할 수 있으며, 중소기업(SME)과 대기업 등 다양한 규모의 기업에 대응하고 있습니다. 이러한 솔루션은 결제 사기 감지, 계정 탈취 방지, 신원 확인, 지불 거절 감소 등의 분야에 적용되어 전자상거래, 소매, 은행, 금융서비스 및 보험(BFSI), 여행, 호텔 등 다양한 산업에서 활용되고 있습니다.
2025년 봄, 미국의 급격한 관세 인상과 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 감소함에 따라 국경 간 거래에 따른 비용 상승에 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 의욕을 억제하고 있습니다. 보험업계는 이제 다각화, 디지털 전환, 탄탄한 시나리오 플래닝을 우선시하고, 경제의 불확실성 증가를 극복하고 수익성을 보호해야 합니다.
인공지능(AI) 기반 디지털 커머스 사기 방지 산업 세계 시장 규모, 지역별 시장 점유율, 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 점유율을 보유한 경쟁사, 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 부문, 시장 동향, 시장 기회 등의 정보를 정리하여 전해드립니다. 인공지능(AI) 기반 디지털 커머스 사기 방지(Digital Commerce Fraud Shield) 시장 통계, 비즈니스 기회 등의 정보를 제공하는 The Business Research Company의 최신 보고서 시리즈 중 하나입니다. 이 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 조사 보고서는 업계의 현재와 미래 시나리오를 자세히 분석하여 필요한 모든 것을 완벽하게 전망합니다.
전자상거래 플랫폼의 채택이 확대됨에 따라 AI를 탑재한 디지털 커머스 사기방지막 시장은 향후 몇 년 동안 활성화될 것으로 예측됩니다. 전자상거래 플랫폼은 인터넷에서 제품이나 서비스의 매매를 촉진하는 온라인 마켓플레이스나 소매 웹사이트를 말합니다. 인터넷 보급률 증가로 더 많은 소비자들이 어디서든 온라인 스토어에 접속하여 상품을 비교하고 편리하게 구매할 수 있게 된 것이 전자상거래 플랫폼의 성장에 크게 기여하고 있습니다. AI를 활용한 디지털 커머스 사기 방지는 실시간으로 사기 거래를 감지 및 방지하고, 고객의 신뢰를 보호하고, 금전적 손실을 최소화하며, 안전하고 원활한 쇼핑 경험을 보장함으로써 이러한 플랫폼에 도움을 줍니다. 예를 들어, 미국 인구 조사국에 따르면 2025년 2분기 미국 소매 전자상거래 매출은 2,929억 달러로 1분기 대비 6.2% 증가했습니다. 2024년 2분기와 비교했을 때, 전자상거래는 5.3% 증가했고, 전체 소매업 매출은 같은 기간 3.8% 증가했습니다. 이러한 전자상거래 플랫폼 도입이 급증하면서 AI 기반 디지털 커머스 사기 방지 시장 성장에 힘을 실어주고 있습니다.
AI를 활용한 디지털 커머스 부정방지 쉴드 시장의 주요 기업들은 실시간으로 부정거래를 식별하고 방지하기 위해 AI를 활용한 부정방지 시스템 등 고도화된 솔루션을 개발하고 있습니다. 이러한 시스템은 인공지능을 사용하여 거래를 분석하고, 의심스러운 패턴을 감지하고, 부정행위를 방지함으로써 금전적 손실을 줄이고, 잘못된 거절은 최소화하며, 온라인 쇼핑에 대한 고객의 신뢰를 강화합니다. 예를 들어, 2025년 3월, 미국에 본사를 둔 전자상거래 사기 및 리스크 인텔리전스 솔루션 제공업체인 Riskified Ltd.는 거래의 위험 프로파일과 쇼핑객의 이력에 따라 각 결제 흐름을 조정하여 전자상거래 전환율을 최적화하도록 설계된 AI 기반 사기 방지 도구인 전환율을 최적화하도록 설계된 AI 기반 사기 방지 도구인 Adaptive Checkout을 발표했습니다. 이 시스템은 고위험 주문에 대해서만 CVV, OTP, 3DS 등의 선택적 인증 단계를 적용하고, 저위험 고객에게는 원활한 구매를 완료할 수 있도록 합니다. TickPick과 같은 고객이 입증한 바와 같이, 이러한 접근 방식을 통해 가맹점은 더 많은 합법적인 거래를 승인하고, 부정행위를 효과적으로 차단하며, 수익을 높일 수 있습니다. 어댑티브 체크 아웃은 부정 방지와 승인 극대화 사이의 균형을 효과적으로 유지하여 전자상거래의 성장을 지원합니다.
2025년 1월, 미국에 본사를 둔 소프트웨어 회사인 Chainalysis Inc.는 Alterya Ltd.를 약 1억 5,000만 달러에 인수했습니다. 이번 인수를 통해 Chainalysis는 Alterya의 AI 기반 사기 감지 기술을 활용하여 암호화폐와 기존 결제 시스템 모두에 종합적인 실시간 사기 방지 기능을 제공하고, 거래소 및 지갑 제공업체의 KYC 및 컴플라이언스 프로세스를 강화하며, 사기로 인한 손실을 줄이고, 대규모 사기를 감지하고 방지하는 능력을 강화할 수 있게 되었습니다. 대규모 부정행위를 감지하고 방지하는 능력을 강화할 수 있습니다. 이스라엘에 본사를 둔 Alterya Ltd.는 핀테크 및 사이버 보안 산업을 위한 AI 기반 부정행위 감지 솔루션을 전문으로 하는 기업입니다.
인공지능(AI) 기반 디지털 커머스 사기 방지 시장은 사기 관련 규제 준수 지원, 머신러닝 모델 교육 및 커스터마이징, 사기 컨설팅 및 전략 자문, 행동 분석 및 이상 징후 감지, 위협 인텔리전스 및 보고 서비스 등의 서비스를 제공하는 사업체의 수익으로 구성됩니다. 제공하는 사업체가 얻는 수익으로 구성되어 있습니다. 시장 가치에는 서비스 제공업체가 판매하거나 서비스 제공에 포함된 관련 상품의 가치가 포함됩니다. 인공지능(AI) 기반 디지털 커머스 사기 방지 시장에는 규칙 기반 사기 감지 엔진, 거래 위험 관리 도구, 클라우드 기반 사기 분석 대시보드, 행동 생체 인식 소프트웨어, 봇 감지 및 완화 도구의 매출도 포함됩니다. 이 시장의 가치는 '팩토리 게이트'의 가치, 즉 다른 사업체(다운스트림 제조업체, 도매업체, 유통업체, 소매업체 등)이든 직접 최종 고객이든, 상품의 제조업체 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 디지털 커머스 사기 방지 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인과 억제요인)
최종 이용 산업 분석
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 성장률 분석
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 실적 : 규모와 성장, 2019-2024
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 : 전체 시장 규모(TAM)
제6장 시장 세분화
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 컴포넌트별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
소프트웨어
서비스
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 전개 모드별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
클라우드
On-Premise
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 기업 규모별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
중소기업
대기업
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 용도별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
결제 사기 탐지
계정 탈취 방지
본인 확인
차지백 방지
기타 용도
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 최종사용자별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
E-Commerce
소매
은행, 금융서비스 및 보험(BFSI)
여행 및 호스피탈리티
기타 최종사용자
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 소프트웨어(유형별), 분석과 예측, 2019-2024, 2024-2029F, 2034F
사기 탐지 및 예방
리스크 및 규정 준수 관리
본인 확인 및 인증
행동 분석
결제 사기 모니터링
대시보드 및 보고서 툴
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 서비스(유형별), 분석과 예측, 2019-2024, 2024-2029F, 2034F
전문 서비스
컨설팅 서비스
구현 및 통합
트레이닝 및 지원 서비스
매니지드 서비스
제7장 지역별/국가별 분석
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 지역별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
세계의 인공지능(AI) 기반 디지털 커머스 사기 방지 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 디지털 커머스 사기 방지 시장 : 경쟁 구도
인공지능(AI) 기반 디지털 커머스 사기 방지 시장 : 기업 개요
Stripe Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
LexisNexis Risk Solutions : 개요, 제품 및 서비스, 전략 및 재무 분석
ACI Worldwide Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Fair Isaac Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
CyberSource Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Riskified Ltd.
Accertify Inc.
Forter Ltd.
Feedzai Inc.
Signifyd Inc.
ClearSale S.A.
Kount Inc.
DataDome Group Inc.
Ravelin Technology Ltd.
Arkose Labs Inc.
SymphonyAI
DataVisor Inc.
Featurespace Ltd.
Sift Science Inc.
NoFraud LLC
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 디지털 커머스 사기 방지 시장(2029년) : 새로운 기회를 제공하는 국가
인공지능(AI) 기반 디지털 커머스 사기 방지 시장(2029년) : 새로운 기회를 제공하는 부문
인공지능(AI) 기반 디지털 커머스 사기 방지 시장(2029년) : 성장 전략
시장 동향에 근거한 전략
경쟁 전략
제36장 부록
LSH
영문 목차
영문목차
An AI-powered digital commerce fraud shield is a technology solution that uses artificial intelligence algorithms to detect, prevent, and mitigate fraudulent activities in online transactions. It analyzes transaction patterns, identifies anomalies, and flags suspicious behavior in real time, reducing financial risks while continuously learning from new data to improve accuracy and adapt to evolving fraud tactics.
The core components of AI-powered digital commerce fraud shields include software and services. The software comprises digital tools and applications that perform automated tasks, process data, and streamline operations across computing systems. These solutions can be deployed on-premises or via the cloud and serve businesses of varying sizes, including small and medium enterprises (SMEs) and large enterprises. They are applied in areas such as payment fraud detection, account takeover prevention, identity verification, and chargeback mitigation, and are utilized by industries including e-commerce, retail, banking, financial services, insurance (BFSI), travel, and hospitality.
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)-powered digital commerce fraud shield market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered digital commerce fraud shield market statistics, including artificial intelligence (AI)-powered digital commerce fraud shield industry global market size, regional shares, competitors with the artificial intelligence (AI)-powered digital commerce fraud shield market share, artificial intelligence (AI)-powered digital commerce fraud shield market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered digital commerce fraud shield industry. This artificial intelligence (AI)-powered digital commerce fraud shield 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)-powered digital commerce fraud shield market size has grown exponentially in recent years. It will grow from $6.84 billion in 2024 to $8.51 billion in 2025 at a compound annual growth rate (CAGR) of 24.3%. The growth observed during the historic period was driven by the rise in online transactions, heightened awareness of transaction security, increasing demand for identity verification in financial services, greater emphasis on reducing chargebacks, and growing consumer preference for digital payment methods.
The artificial intelligence (AI)-powered digital commerce fraud shield market size is expected to see exponential growth in the next few years. It will grow to $20.04 billion in 2029 at a compound annual growth rate (CAGR) of 23.9%. The projected growth during the forecast period is driven by the rising demand for real-time transaction monitoring, the expansion of online retail platforms, increased focus on customer trust and loyalty, greater need for secure high-value transactions, and growing attention to securing omni-channel transactions. Key trends expected in this period include advancements in multi-layered security frameworks, innovations in integrated fraud detection models, improvements in identity verification workflows, adoption of geolocation-based security protocols, and development of advanced fraud risk scoring models.
The expanding adoption of e-commerce platforms is expected to boost the AI-powered digital commerce fraud shield market in the coming years. E-commerce platforms are online marketplaces and retail websites that facilitate the buying and selling of products and services over the internet. Their growth is largely fueled by increasing internet penetration, allowing more consumers to access online stores, compare products, and make purchases conveniently from anywhere. AI-powered digital commerce fraud shields assist these platforms by detecting and preventing fraudulent transactions in real time, protecting customer trust, minimizing financial losses, and ensuring a secure and seamless shopping experience. For example, according to the U.S. Census Bureau, U.S. retail e-commerce sales reached $292.9 billion in the second quarter of 2025, marking a 6.2% increase from the first quarter. Compared to the second quarter of 2024, e-commerce grew by 5.3%, while overall retail sales rose by 3.8% over the same period. This surge in e-commerce platform adoption is therefore driving the growth of the AI-powered digital commerce fraud shield market.
Key players in the AI-powered digital commerce fraud shield market are developing advanced solutions, including AI-driven fraud prevention systems, to identify and prevent fraudulent transactions in real time. These systems use artificial intelligence to analyze transactions, detect suspicious patterns, and prevent fraud, reducing financial losses, minimizing false declines, and strengthening customer trust in online shopping. For example, in March 2025, U.S.-based Riskified Ltd., a provider of e-commerce fraud and risk intelligence solutions, launched Adaptive Checkout, an AI-powered fraud prevention tool designed to optimize e-commerce conversion rates by tailoring each checkout flow based on the transaction's risk profile and shopper history. The system applies selective verification steps, such as CVV, OTP, or 3DS, only for higher-risk orders while allowing low-risk customers to complete purchases seamlessly. This approach enables merchants to approve more legitimate transactions, effectively block fraud, and increase revenue, as demonstrated by clients such as TickPick. Adaptive Checkout effectively balances fraud prevention with maximizing approvals, supporting e-commerce growth.
In January 2025, U.S.-based software firm Chainalysis Inc. acquired Alterya Ltd. for around $150 million. This acquisition enables Chainalysis to leverage Alterya's AI-driven fraud detection technology to provide comprehensive, real-time fraud protection for both cryptocurrency and traditional payment systems, enhance KYC and compliance processes for exchanges and wallet providers, reduce losses from scams, and strengthen its capability to detect and prevent fraud at scale. Alterya Ltd., headquartered in Israel, specializes in AI-powered fraud detection solutions for the fintech and cybersecurity industries.
Major players in the artificial intelligence (ai)-powered digital commerce fraud shield market are Stripe Inc., LexisNexis Risk Solutions, ACI Worldwide Inc., Fair Isaac Corporation, CyberSource Corporation, Riskified Ltd., Accertify Inc., Forter Ltd., Feedzai Inc., Signifyd Inc., ClearSale S.A., Kount Inc., DataDome Group Inc., Ravelin Technology Ltd., Arkose Labs Inc., SymphonyAI, DataVisor Inc., Featurespace Ltd., Sift Science Inc., NoFraud LLC.
North America was the largest region in the artificial intelligence (AI)-powered digital commerce fraud shield market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered digital commerce fraud shield report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the artificial intelligence (AI)-powered digital commerce fraud shield market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI)-powered digital commerce fraud shield market consists of revenues earned by entities by providing services such as compliance support for fraud-related regulations, machine learning model training and customization, fraud consulting and strategy advisory, behavioral analytics and anomaly detection, threat intelligence and reporting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered digital commerce fraud shield market also includes sales of rule-based fraud detection engines, transaction risk management tools, cloud-based fraud analytics dashboards, behavioral biometrics software, bot detection and mitigation tools. 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)-Powered Digital Commerce Fraud Shield 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)-powered digital commerce fraud shield 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)-powered digital commerce fraud shield ? 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)-powered digital commerce fraud shield 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; Services
2) By Deployment Mode: Cloud; On-Premises
3) By Enterprise Size: Small And Medium Enterprises; Large Enterprises
4) By Application: Payment Fraud Detection; Account Takeover Protection; Identity Verification; Chargeback Prevention; Other Applications
5) By End-User: E-Commerce; Retail; Banking Financial Services And Insurance (BFSI); Travel And Hospitality; Other End-Users
Subsegments:
1) By Software: Fraud Detection And Prevention; Risk And Compliance Management; Identity Verification And Authentication; Behavioral Analytics; Payment Fraud Monitoring; Dashboard And Reporting Tools
2) By Services: Professional Services; Consulting Services; Implementation And Integration; Training and Support Services; Managed Services
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)-Powered Digital Commerce Fraud Shield Market Characteristics
3. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Trends And Strategies
4. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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)-Powered Digital Commerce Fraud Shield Growth Analysis And Strategic Analysis Framework
5.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield 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)-Powered Digital Commerce Fraud Shield Market Growth Rate Analysis
5.4. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Total Addressable Market (TAM)
6. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Segmentation
6.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software
Services
6.2. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud
On-Premises
6.3. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Small And Medium Enterprises
Large Enterprises
6.4. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Payment Fraud Detection
Account Takeover Protection
Identity Verification
Chargeback Prevention
Other Applications
6.5. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
E-Commerce
Retail
Banking Financial Services And Insurance (BFSI)
Travel And Hospitality
Other End-Users
6.6. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Fraud Detection And Prevention
Risk And Compliance Management
Identity Verification And Authentication
Behavioral Analytics
Payment Fraud Monitoring
Dashboard And Reporting Tools
6.7. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Professional Services
Consulting Services
Implementation And Integration
Training And Support Services
Managed Services
7. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Regional And Country Analysis
7.1. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
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)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
9. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
9.1. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
9.2. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
10. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
10.1. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
11.1. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
11.2. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
12.1. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
13.1. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
14.1. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
14.2. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
15.1. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
15.2. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
16.1. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
17.1. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
18.1. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
19.1. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
20.1. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
21.1. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
21.2. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
22.1. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
23.1. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
23.2. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
24.1. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
24.2. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
25.2. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
26.1. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
26.2. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
27.1. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
28.1. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
28.2. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market
29.1. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Overview
29.2. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
30. Artificial Intelligence (AI)-Powered Digital Commerce Fraud Shield Market Competitive Landscape And Company Profiles
