The artificial intelligence (AI) in procurement market size is expected to see exponential growth in the next few years. It will grow to $7.86 billion in 2030 at a compound annual growth rate (CAGR) of 22.4%. The growth in the forecast period can be attributed to predictive procurement decision making adoption, integration of real time supplier intelligence networks, increasing regulatory compliance and audit digitization, shift toward resilient and localized supply chains, expansion of data driven strategic sourcing ecosystems. Major trends in the forecast period include rise of predictive supplier risk scoring and resilience management tools, increasing adoption of automated spend classification and cost optimization systems, growing use of AI-powered contract lifecycle management platforms, expansion of real-time supplier performance monitoring dashboards, surge in category-level procurement automation and optimization tools.
The increasing adoption of cloud-based solutions is expected to propel the growth of the artificial intelligence (AI) in the procurement market going forward. Cloud-based solutions refer to digital services, applications, or resources delivered over the internet that enable users to access data, software, and computing power remotely without relying on local infrastructure. The increasing adoption of cloud-based solutions is driven by the growing use of remote and hybrid work models, as businesses increasingly depend on scalable and internet-accessible platforms to support real-time collaboration, data sharing, and operational flexibility across distributed teams. The increasing adoption of cloud-based solutions is driving demand for artificial intelligence (AI) in procurement by providing centralized and real-time data access, enabling AI tools to automate supplier evaluation, improve purchasing decisions, and enhance overall procurement efficiency. For instance, in March 2025, according to the Office for National Statistics, a UK-based government agency, in 2023, 9% of businesses in the UK implemented artificial intelligence (AI), while 69% utilized cloud computing systems and applications. Therefore, the increasing adoption of cloud-based solutions is driving the growth of the artificial intelligence (AI) in the procurement market.
Leading companies operating in the artificial intelligence (AI) in procurement market are focusing on developing innovative solutions, such as GenAI-powered autonomous sourcing platforms to enhance procurement efficiency, automate end-to-end sourcing processes, reduce operational costs, and improve data-driven decision-making across supplier management and risk assessment. A GenAI-powered autonomous sourcing platform is an advanced procurement system that uses generative artificial intelligence and large language models to automate activities such as requisition handling, supplier evaluation, price optimization, and negotiation support, while also integrating with enterprise procurement ecosystems to streamline workflows. For example, in February 2023, LTIMindtree Ltd., an India-based technology consulting and digital solutions company, launched Navisource.AI, a GenAI-powered autonomous sourcing platform designed to transform procurement operations from requisition to risk management. The solution leverages AI-driven pricing and negotiation engines to help organizations reduce overall procurement costs by 10-15%. It integrates large language models and model catalogs through the Canvas.AI platform and is compatible with enterprise procurement systems such as SAP Ariba and SAP S/4HANA. The platform enhances enterprise workflows by providing intelligent decision support, improving sourcing accuracy, and enabling end-to-end procurement automation across complex supply chain environments.
In April 2026, SpendHQ LLC, a US-based enterprise-level SaaS company, acquired Sligo AI for an undisclosed amount. Through this acquisition, SpendHQ aims to enhance its procurement intelligence platform by integrating agentic AI capabilities to automate sourcing workflows, improve decision-making, and strengthen end-to-end enterprise procurement transformation. Sligo Software Inc. is a US-based company that provides agentic AI-driven procurement solutions designed to automate sourcing, supplier evaluation, and procurement decision support using generative AI and autonomous workflow technologies.
Major companies operating in the artificial intelligence (AI) in procurement market are International Business Machines Corporation; Oracle Corporation; SAP SE; Workday Inc.; Coupa Software Inc.; Basware Corporation; GEP Worldwide LLC; JAGGAER LLC; Ivalua Inc.; Zip; Zycus Inc.; Pipefy Inc.; Prewave; Omnea; Globality Inc.; Tropic; Scoutbee GmbH; Sievo Oy; Kodiak Hub AB; Procurify Technologies Inc.; Fairmarkit Inc.; LevaData Inc.; Vendr; SynerTrade SAS; Arkestro Inc.; TealBook Inc.; Keelvar Systems Ltd.
North America was the largest region in the artificial intelligence (AI) in procurement market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in procurement market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in procurement market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) in procurement market consists of revenues earned by entities by providing services such as spend analysis and classification, supplier risk and performance monitoring, contract management automation, and invoice processing and compliance automation. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in procurement market also includes sales of spend analytics devices, supplier management systems, and intelligent sourcing and e-procurement 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.
The artificial intelligence (AI) in procurement market research report is one of a series of new reports that provides artificial intelligence (AI) in procurement market statistics, including artificial intelligence (AI) in procurement industry global market size, regional shares, competitors with a artificial intelligence (AI) in procurement market share, detailed artificial intelligence (AI) in procurement market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in procurement industry. This artificial intelligence (AI) in procurement 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.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Procurement Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in procurement 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.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) in procurement? 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) in procurement market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- 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.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component Type: Software; Services2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Other Technologies
3) By Deployment: Cloud-Based; On-Premises
4) By Application: Supplier Management Or Identification; Risk Management Or Predictive Analytics; Spend Analysis; Contract Management; Category Management
5) By Industry Vertical: Retail And E-Commerce; Manufacturing; Healthcare; Transportation And Logistics; Government And Public Sector; Other Industry Verticals
Subsegments:
1) By Software: Spend Analysis Software; Supplier Management Software; Contract Management Software; Procurement Automation Software; Sourcing And Vendor Management Software2) By Services: Consulting Services; Implementation Services; Integration Services; Support And Maintenance Services; Managed Procurement Services
Companies Mentioned: International Business Machines Corporation; Oracle Corporation; SAP SE; Workday Inc.; Coupa Software Inc.; Basware Corporation; GEP Worldwide LLC; JAGGAER LLC; Ivalua Inc.; Zip; Zycus Inc.; Pipefy Inc.; Prewave; Omnea; Globality Inc.; Tropic; Scoutbee GmbH; Sievo Oy; Kodiak Hub AB; Procurify Technologies Inc.; Fairmarkit Inc.; LevaData Inc.; Vendr; SynerTrade SAS; Arkestro Inc.; TealBook Inc.; Keelvar Systems Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; 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 Segmentation: 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: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- Workday Inc.
- Coupa Software Inc.
- Basware Corporation
- GEP Worldwide LLC
- JAGGAER LLC
- Ivalua Inc.
- Zip
- Zycus Inc.
- Pipefy Inc.
- Prewave
- Omnea
- Globality Inc.
- Tropic
- Scoutbee GmbH
- Sievo Oy
- Kodiak Hub AB
- Procurify Technologies Inc.
- Fairmarkit Inc.
- LevaData Inc.
- Vendr
- SynerTrade SAS
- Arkestro Inc.
- TealBook Inc.
- Keelvar Systems Ltd.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | August 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 3.5 Billion |
| Forecasted Market Value ( USD | $ 7.86 Billion |
| Compound Annual Growth Rate | 22.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 27 |


