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세계의 구매 주문 매칭 인공지능(AI) 시장 보고서(2025년)
Purchase Order Matching Artificial Intelligence Global Market Report 2025
상품코드 : 1888399
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

구매 주문 매칭 인공지능(AI) 시장 규모는 최근 급격히 확대되고 있습니다. 2024년의 15억 9,000만 달러에서 2025년에는 20억 달러로 성장하고, CAGR 25.2%를 나타낼 것으로 전망되고 있습니다. 이러한 성장은 조달 업무의 디지털화 진전, ERP 및 회계 소프트웨어의 도입 확대, AI 트레이닝용 데이터의 가용성 향상, 컴플라이언스와 감사 정밀도에 대한 주목의 높아짐, 효율적인 공급자 관리 시스템에 대한 수요 증가 등이 요인으로 되어 있습니다.

구매 주문 매칭 인공지능(AI) 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 48억 5,000만 달러에 이르며, CAGR은 24.8%를 나타낼 전망입니다. 예측 기간의 성장요인으로는 조달 프로세스에 있어서의 자동화 수요 증가, 공급체인 관리에 있어서의 AI 도입의 확대, 인적 실수와 처리 시간의 삭감 요구의 증대, 클라우드 기반의 기업용 솔루션의 확충, 비용 최적화와 업무 효율화에의 주력의 강화 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 정확한 주문 매칭을 위한 머신러닝 알고리즘의 진보, 자동화된 송장 매칭 시스템의 개발, 조달을 위한 AI 구동형 이상 검출 기술의 혁신, 비구조화 데이터 매칭을 위한 자연 언어 처리 기술의 진보, 클라우드 기반의 지능형 조달 플랫폼의 개발 등이 있습니다.

조달 및 재무 프로세스 전반에 걸친 자동화 수요 증가는 향후 구매 주문 매칭 인공지능(AI) 시장의 성장을 가속할 것으로 예측됩니다. 조달 및 재무 프로세스는 물품 및 서비스 조달, 공급자 관계 관리, 구매, 예산 편성 및 지불과 관련된 재무 거래 감독과 같은 협력 활동을 의미합니다. 이러한 프로세스의 자동화에 대한 수요 증가는 대량의 재무 및 조달 데이터를 처리할 때 효율성과 정확성을 향상시켜야 하므로 조직의 시간 절약과 운영 비용 절감에 기여합니다. 구매 주문 매칭 인공지능은 인보이스와 구매 주문서 및 영수증의 일치 검증을 자동화하고, 인적 실수를 최소화하고, 정확성을 향상시키고, 지불주기를 가속화함으로써 이러한 프로세스를 지원하고 업무 성과 향상에 기여합니다. 예를 들어 2025년 6월에 경제협력개발기구(OECD)가 발표한 보고서에 따르면 프랑스를 거점으로 하는 업종 특화형 CPB(중앙구매기관)가 등장해 OECD 회원 35개국 중 17개국(49%)이 의료분야 조달에 12개국(34%)이 ICT 관련 조달에 달했습니다. 그러므로 전체 조달 및 재무 프로세스에서 자동화에 대한 수요가 증가함에 따라 구매 주문 매칭 인공지능(AI) 시장의 성장이 촉진될 것으로 예측됩니다.

구매 주문 매칭 인공지능(AI) 시장에서 사업을 전개하는 주요 기업은 조달 및 재무 워크플로우 전체의 효율성, 정확성, 투명성을 향상시키기 위해 자동 3점 매칭 등의 기술적 진보에 주력하고 있습니다. 자동 3웨이 매칭이란 주문서, 입고 전표, 공급업체 송장을 자동으로 대조하여 정확성을 확보하고, 수동 데이터 입력의 배제, 에러 삭감, 재무 업무의 효율화를 통해 보다 신속하고 신뢰성 높은 지불을 실현하는 프로세스를 말합니다. 예를 들어 2024년 3월 미국 거점의 현금흐름 관리 플랫폼 'Settle'이 주문서용 자동 3웨이 매칭 기능을 출시하여 조달 자동화에 있어서 중요한 진전이 되었습니다. 이 솔루션은 구매 주문, 송장 및 수령서의 검증을 간소화하고 수작업으로 인한 오류를 줄이고 재무 및 업무 부서의 시간 부담을 줄입니다. 고도의 자동화와 검증 기능을 통합함으로써 재무 워크플로우의 효율성·투명성·관리성을 향상시키고 있으며, 급성장 중인 EC·소비재 브랜드용 현금흐름 관리의 간소화와 조달 업무의 근대화에 임하는 세틀의 자세를 구현하고 있습니다.

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

Purchase order matching artificial intelligence refers to the practice and technology of automating the comparison and verification of purchase orders, invoices, and goods receipts using artificial intelligence and machine learning. The key purpose of a purchase order matching artificial intelligence system is to ensure transactional accuracy, prevent overpayments, detect discrepancies, and improve operational efficiency in procurement and accounts payable processes.

The key components of purchase order matching artificial intelligence are software and services. Purchase order matching artificial intelligence platforms use AI-powered tools to automate the comparison, extraction, and verification of data across invoices, receipts, and purchase orders, reducing manual effort and minimizing errors. These systems are deployed through various deployment modes such as on-premises and cloud. They are used by enterprises of different sizes, including small and medium enterprises and large enterprises, and in applications such as invoice processing, fraud detection, compliance management, and payment reconciliation. They are also applied across end users including banking, financial services, and insurance, retail and e-commerce, manufacturing, healthcare, logistics, and other sectors.

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 purchase order matching artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides purchase order matching artificial intelligence market statistics, including purchase order matching artificial intelligence industry global market size, regional shares, competitors with the purchase order matching artificial intelligence market share, purchase order matching artificial intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the purchase order matching artificial intelligence industry. This purchase order matching 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 purchase order matching artificial intelligence market size has grown exponentially in recent years. It will grow from $1.59 billion in 2024 to $2.00 billion in 2025 at a compound annual growth rate (CAGR) of 25.2%. The growth in the historic period can be attributed to increasing digitization of procurement operations, rising adoption of ERP and accounting software, growing availability of data for AI training, increasing focus on compliance and audit accuracy, and rising demand for efficient supplier management systems.

The purchase order matching artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $4.85 billion in 2029 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to rising demand for automation in procurement processes, increasing adoption of AI in supply chain management, growing need to reduce manual errors and processing time, expansion of cloud-based enterprise solutions, and increasing focus on cost optimization and operational efficiency. Key trends in the forecast period include advancement in machine learning algorithms for accurate PO matching, development of automated invoice reconciliation systems, innovation in AI-driven anomaly detection for procurement, advancement in natural language processing for unstructured data matching, and development of cloud-based intelligent procurement platforms.

The increasing demand for automation across procurement and financial processes is expected to propel the growth of the purchase order matching artificial intelligence market going forward. Procurement and financial processes refer to the coordinated activities involved in acquiring goods and services, managing supplier relationships, and overseeing the financial transactions associated with purchasing, budgeting, and payment. Rising demand for automation in these processes is driven by the need for enhanced efficiency and accuracy when handling large volumes of financial and procurement data, helping organizations save time and reduce operational costs. Purchase order matching artificial intelligence supports these processes by automating the verification of invoices against purchase orders and receipts, minimizing manual errors, improving accuracy, and accelerating payment cycles for better operational performance. For instance, in June 2025, according to a report published by the Organization for Economic Co-operation and Development (OECD), France-based, sector-specific CPBs have emerged, with 17 out of 35 OECD countries (49%) utilizing them for health sector procurement and 12 out of 35 (34%) for ICT-related procurement. Therefore, rising demand for automation across procurement and financial processes is expected to drive the purchase order matching artificial intelligence market.

Key companies operating in the purchase order matching artificial intelligence market are focusing on technological advancements such as automatic 3-way matching to improve efficiency, accuracy, and transparency across procurement and financial workflows. Automatic 3-way matching refers to the process that automatically reconciles purchase orders, goods receipts, and supplier invoices to ensure accuracy, eliminate manual data entry, reduce errors, and streamline financial operations for faster, more reliable payments. For instance, in March 2024, Settle, a US-based cash-flow management platform, launched its automatic 3-way matching feature for purchase orders, marking a key advancement in procurement automation. This solution streamlines the reconciliation of purchase orders, invoices, and receipts, reduces manual errors, and saves time for finance and operations teams. It integrates advanced automation and validation capabilities, enhancing efficiency, transparency, and control in financial workflows, reflecting Settle's commitment to simplifying cash flow management and modernizing procurement for fast-growing e-commerce and CPG brands.

In February 2023, Thoma Bravo, L.P., a US-based private equity firm, acquired Coupa Software Incorporated for approximately $8.0 billion. Through this acquisition, Thoma Bravo, L.P. aims to strengthen its presence in the enterprise software sector by leveraging the advanced spend management and procurement capabilities of Coupa Software Incorporated, driving innovation and operational efficiency across global businesses while accelerating Coupa's growth, expanding its customer base, and enhancing its business spend management solutions. Coupa Software Incorporated is a US-based technology company that provides purchase order matching artificial intelligence.

Major players in the purchase order matching artificial intelligence market are International Business Machines Corporation, Oracle Corporation, SAP SE, GEP Worldwide LLC, QUADIENT S.A., Basware Corporation, Zycus Infotech Private Limited, Tipalti Inc., Tradeshift Holdings Inc., Ivalua Inc., Omnea Ltd., AppZen Inc., Rossum Ltd., Stampli Inc., Procurify Technologies Inc., SUTISOFT PRIVATE LIMITED, Traydstream Limited, Affinda Holdings Pty Ltd., Xelix Limited, Centime Inc., ProcureDesk.

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

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

The purchase order matching artificial intelligence market consists of revenues earned by entities by providing services such as consulting and process assessment services, intelligent matching algorithms services, systems integration services, solution design and customization services, and document processing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The purchase order matching artificial intelligence market also includes sales of products including invoice matching software, tipalti purchase order, rossum purchase order matching, mistral AI, and precoro. 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.

Purchase Order Matching 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 purchase order matching 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 purchase order matching 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 purchase order matching 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. Purchase Order Matching Artificial Intelligence Market Characteristics

3. Purchase Order Matching Artificial Intelligence Market Trends And Strategies

4. Purchase Order Matching 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 Purchase Order Matching Artificial Intelligence Growth Analysis And Strategic Analysis Framework

6. Purchase Order Matching Artificial Intelligence Market Segmentation

7. Purchase Order Matching Artificial Intelligence Market Regional And Country Analysis

8. Asia-Pacific Purchase Order Matching Artificial Intelligence Market

9. China Purchase Order Matching Artificial Intelligence Market

10. India Purchase Order Matching Artificial Intelligence Market

11. Japan Purchase Order Matching Artificial Intelligence Market

12. Australia Purchase Order Matching Artificial Intelligence Market

13. Indonesia Purchase Order Matching Artificial Intelligence Market

14. South Korea Purchase Order Matching Artificial Intelligence Market

15. Western Europe Purchase Order Matching Artificial Intelligence Market

16. UK Purchase Order Matching Artificial Intelligence Market

17. Germany Purchase Order Matching Artificial Intelligence Market

18. France Purchase Order Matching Artificial Intelligence Market

19. Italy Purchase Order Matching Artificial Intelligence Market

20. Spain Purchase Order Matching Artificial Intelligence Market

21. Eastern Europe Purchase Order Matching Artificial Intelligence Market

22. Russia Purchase Order Matching Artificial Intelligence Market

23. North America Purchase Order Matching Artificial Intelligence Market

24. USA Purchase Order Matching Artificial Intelligence Market

25. Canada Purchase Order Matching Artificial Intelligence Market

26. South America Purchase Order Matching Artificial Intelligence Market

27. Brazil Purchase Order Matching Artificial Intelligence Market

28. Middle East Purchase Order Matching Artificial Intelligence Market

29. Africa Purchase Order Matching Artificial Intelligence Market

30. Purchase Order Matching Artificial Intelligence Market Competitive Landscape And Company Profiles

31. Purchase Order Matching Artificial Intelligence Market Other Major And Innovative Companies

32. Global Purchase Order Matching Artificial Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Purchase Order Matching Artificial Intelligence Market

34. Recent Developments In The Purchase Order Matching Artificial Intelligence Market

35. Purchase Order Matching Artificial Intelligence Market High Potential Countries, Segments and Strategies

36. Appendix

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