세계의 가격 이상 감지 인공지능(AI) 시장 보고서(2025년)
Price Anomaly Detection Artificial Intelligence Global Market Report 2025
상품코드 : 1888391
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

가격 이상 감지 인공지능(AI) 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 15억 5,000만 달러에서 2025년에는 19억 6,000만 달러에 달하고, CAGR 27.0%를 나타낼 것으로 예상되고 있습니다. 지난 수년간의 성장은 인공지능(AI) 및 머신러닝 기술 채택 확대, 실시간 데이터 모니터링 수요 증가, 사이버 보안 위협 및 사기 감지 요구 증가, 다양한 업계의 예측 분석 활용 확대, 클라우드 컴퓨팅 및 빅 데이터 분석 투자 증가로 인한 것입니다.

가격 이상 감지 인공지능(AI) 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 50억 6,000만 달러에 달하고, CAGR은 26.7%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 사물 인터넷(IoT) 디바이스의 보급 확대, 실시간 데이터 모니터링 수요 증가, 사이버 보안 위협 감지 기술 혁신, 클라우드 컴퓨팅 통합의 진전, 인공지능(AI) 및 머신러닝 기술 개발 등이 있습니다. 예측 기간의 주요 동향으로는 실시간 이상 감지 기능의 고도화, 설명 가능한 인공지능(AI) 및 머신러닝 기술의 개발, 비지도 학습·반지도 학습 모델의 혁신, 사이버 보안용 자동 이상 감지 기술의 진전, 빅 데이터 분석을 위한 확장 가능한 AI 솔루션의 개발 등을 들 수 있습니다.

디지털 거래의 급격한 증가는 향후 가격 이상 감지 인공지능(AI) 시장의 성장을 가속할 것으로 예측됩니다. 디지털 거래 증가는 전자(비현금) 결제의 양과 가치에서의 급속하고 가속적인 성장을 말합니다. 디지털 거래 증가는 주로 소비자의 카드 결제, 비접촉 결제, 온라인 결제로의 전환이라는 큰 변화에 의해 추진되고 있습니다. 가격 이상 감지 인공지능은 수백만 건의 디지털 거래에서 불규칙하거나 잘못된 가격을 실시간으로 식별 및 플래그 지정하고, 사업자가 가격 설정을 수정하고, 이익률을 보호하며, 구매자의 신뢰를 유지할 수 있도록 합니다. 가격 책정 오류를 줄이고 신뢰할 수 있는 동적 가격 책정을 실현함으로써 이 기술은 플랫폼의 신뢰성을 높이고 디지털 결제의 추가 확산을 촉진합니다. 예를 들어 영국을 거점으로 하는 업계 단체 UK Finance에 따르면 2025년 10월 시점에서 모바일 결제 이용자의 약 절반이 월1회 이상, 44%가 주 1회 이상의 빈도로 이용했으며, 16-24세층의 이용률이 88%로 가장 높고, 65세 이상층의 이용률도 2023년 2023년의 14%로 상승했습니다. 따라서 디지털 거래의 급격한 증가는 가격 이상 감지 인공지능(AI) 시장의 성장을 가속할 것으로 예측됩니다.

가격 이상 감지 인공지능(AI) 시장에서 활동하는 주요 기업은 머신러닝의 통합을 통해 실시간 이상 감지를 강화하는 데 주력하고 있습니다. 머신러닝은 명시적인 프로그래밍 없이 시스템이 데이터에서 자동으로 학습하고 정확성과 성능을 시간에 따라 향상시키는 인공지능의 한 분야입니다. 예를 들어 2025년 8월 미국에 본사를 둔 의약품 기술 기업 웰지스틱스 헬스사는 HubRx AI를 도입했습니다. 이 플랫폼은 머신러닝을 통합하여 처방전 라우팅 자동화, 재고 관리 최적화, 실시간 비정상 감지를 제공합니다. HubRx AI는 과거 데이터와 예측 분석을 활용하여 비즈니스 효율성을 높이고 가격 불일치 위험을 줄입니다. 이러한 혁신은 가격 이상 감지의 복잡성을 해결하기 위한 머신러닝에 대한 의존도가 높아지고 있음을 보여주며, 기업에게 가격 무결성과 고객 신뢰를 유지하기 위한 적극적인 접근 방식을 제공합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

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 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Price anomaly detection artificial intelligence (AI) is the practice and technology for monitoring, tracing, and analyzing pricing data patterns in real time to identify irregular behavior or anomalies in pricing transactions. The primary purpose of this system is to provide real-time visibility into pricing deviations, detect unexpected changes, and alert businesses to potential errors, fraud, or market shifts.

The key components of price anomaly detection artificial intelligence include software, hardware, and services. Software comprises AI algorithms, analytics engines, and dashboards that detect irregular price changes and deliver actionable insights. Deployment modes include cloud and on-premises, and it is used by enterprises of different sizes, including small and medium enterprises and large enterprises. It is applied across sectors such as retail, e-commerce, banking, financial services, insurance, manufacturing, healthcare, transportation and logistics, 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 information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The price anomaly detection artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides price anomaly detection artificial intelligence market statistics, including price anomaly detection artificial intelligence industry global market size, regional shares, competitors with a price anomaly detection artificial intelligence market share, detailed price anomaly detection artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the price anomaly detection artificial intelligence industry. This price anomaly detection artificial intelligence 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 price anomaly detection artificial intelligence market size has grown exponentially in recent years. It will grow from $1.55 billion in 2024 to $1.96 billion in 2025 at a compound annual growth rate (CAGR) of 27.0%. The growth in the historic period can be attributed to increasing adoption of artificial intelligence and machine learning technologies, rising demand for real-time data monitoring, growth in cybersecurity threats and fraud detection needs, increasing use of predictive analytics across various industries, and rising investments in cloud computing and big data analytics.

The price anomaly detection artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $5.06 billion in 2029 at a compound annual growth rate (CAGR) of 26.7%. The growth in the forecast period can be attributed to advancement in Internet of Things (IoT) device adoption, rising demand for real-time data monitoring, innovation in cybersecurity threat detection, advancement in cloud computing integration, and development of artificial intelligence and machine learning technologies. Key trends in the forecast period include advancement in real-time anomaly detection capabilities, development of explainable artificial intelligence and machine learning techniques, innovation in unsupervised and semi-supervised learning models, advancement in automated anomaly detection for cybersecurity, and development of scalable AI solutions for big data analytics.

The increasing exponential rise in digital transactions is expected to drive the growth of the price anomaly detection artificial intelligence market going forward. The rise in digital transactions refers to a rapid, accelerating growth in the volume and value of electronic (non-cash) payments. Digital transactions are increasing, driven primarily by a major shift among consumers toward card, contactless, and online payment methods. Price anomaly detection artificial intelligence identifies and flags irregular or erroneous prices in real time across millions of digital transactions, allowing merchants to correct pricing, protect margins, and maintain buyer trust. By reducing pricing errors and enabling reliable dynamic pricing, the technology enhances platform credibility and encourages further adoption of digital payments. For instance, in October 2025, according to UK Finance, a UK-based trade association, about half of mobile payment users paid monthly, and 44% did so weekly or more often, with the highest use among 16-24-year-olds (88%) and a rise among those 65+ from 14% in 2023 to 25% in 2024. Therefore, the increasing exponential rise in digital transactions is expected to drive the growth of the price anomaly detection artificial intelligence market.

Key companies operating in the price anomaly detection artificial intelligence market are focusing on incorporating machine learning to enhance real-time anomaly detection. Machine learning is a field of artificial intelligence where systems automatically learn from data and improve their accuracy or performance over time without explicit programming. For instance, in August 2025, Wellgistics Health, a US-based pharmaceutical technology company, introduced HubRx AI. This platform integrates machine learning to automate prescription routing, optimize inventory management, and detect anomalies in real time. By leveraging historical data and predictive analytics, HubRx AI enhances operational efficiency and reduces the risk of pricing discrepancies. Such innovations highlight the growing reliance on machine learning to address the complexities of price anomaly detection, providing businesses a proactive approach to maintain pricing integrity and customer trust.

In August 2023, IFS, a Sweden-based cloud enterprise software provider, acquired Falkonry for an undisclosed amount. Through this acquisition, IFS aims to strengthen its AI-powered industrial asset performance and anomaly detection capabilities, enabling scalable and cost-efficient AI solutions for predictive maintenance and process optimization. Falkonry is a US-based company specializing in price anomaly detection artificial intelligence.

Major players in the price anomaly detection artificial intelligence market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, Infosys Limited, Wipro Limited, SAS Institute Inc., Fair Isaac Corporation, DataRobot Inc., Pricefx AG, Pricemoov, H2O.ai Inc., Revionics Inc., Zilliant Inc., Wiser Solutions Inc., Anodot Ltd., Competera Ltd., Prisync, BlackCurve Solutions Ltd., and NetRivals.

North America was the largest region in the price anomaly detection artificial intelligence market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in price anomaly detection artificial intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the price anomaly detection artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The price anomaly detection artificial intelligence market consists of revenues earned by entities by providing services such as real-time anomaly detection and alerting, root cause analysis, and automated pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The price anomaly detection artificial intelligence market also includes sales of inference appliances, network appliances, secure hardware enclaves, barcode scanners, and edge telemetry devices. 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.

Price Anomaly Detection Artificial Intelligence 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 price anomaly detection artificial intelligence 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

Where is the largest and fastest growing market for price anomaly detection artificial intelligence ? 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 price anomaly detection artificial intelligence 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 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.

Scope

Table of Contents

1. Executive Summary

2. Price Anomaly Detection Artificial Intelligence Market Characteristics

3. Price Anomaly Detection Artificial Intelligence Market Trends And Strategies

4. Price Anomaly Detection Artificial Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Price Anomaly Detection Artificial Intelligence Growth Analysis And Strategic Analysis Framework

6. Price Anomaly Detection Artificial Intelligence Market Segmentation

7. Price Anomaly Detection Artificial Intelligence Market Regional And Country Analysis

8. Asia-Pacific Price Anomaly Detection Artificial Intelligence Market

9. China Price Anomaly Detection Artificial Intelligence Market

10. India Price Anomaly Detection Artificial Intelligence Market

11. Japan Price Anomaly Detection Artificial Intelligence Market

12. Australia Price Anomaly Detection Artificial Intelligence Market

13. Indonesia Price Anomaly Detection Artificial Intelligence Market

14. South Korea Price Anomaly Detection Artificial Intelligence Market

15. Western Europe Price Anomaly Detection Artificial Intelligence Market

16. UK Price Anomaly Detection Artificial Intelligence Market

17. Germany Price Anomaly Detection Artificial Intelligence Market

18. France Price Anomaly Detection Artificial Intelligence Market

19. Italy Price Anomaly Detection Artificial Intelligence Market

20. Spain Price Anomaly Detection Artificial Intelligence Market

21. Eastern Europe Price Anomaly Detection Artificial Intelligence Market

22. Russia Price Anomaly Detection Artificial Intelligence Market

23. North America Price Anomaly Detection Artificial Intelligence Market

24. USA Price Anomaly Detection Artificial Intelligence Market

25. Canada Price Anomaly Detection Artificial Intelligence Market

26. South America Price Anomaly Detection Artificial Intelligence Market

27. Brazil Price Anomaly Detection Artificial Intelligence Market

28. Middle East Price Anomaly Detection Artificial Intelligence Market

29. Africa Price Anomaly Detection Artificial Intelligence Market

30. Price Anomaly Detection Artificial Intelligence Market Competitive Landscape And Company Profiles

31. Price Anomaly Detection Artificial Intelligence Market Other Major And Innovative Companies

32. Global Price Anomaly Detection Artificial Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Price Anomaly Detection Artificial Intelligence Market

34. Recent Developments In The Price Anomaly Detection Artificial Intelligence Market

35. Price Anomaly Detection Artificial Intelligence Market High Potential Countries, Segments and Strategies

36. Appendix

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