The generative AI in procurement market size is expected to see exponential growth in the next few years. It will grow to $0.61 billion in 2030 at a compound annual growth rate (CAGR) of 24.1%. The growth in the forecast period can be attributed to integration of generative AI with erp systems, adoption of cloud-based procurement solutions, enhanced predictive analytics for demand forecasting, growth of ai-driven supplier relationship management, increased focus on compliance and fraud prevention. Major trends in the forecast period include ai-powered supplier identification and evaluation, automated contract analysis and risk assessment, predictive procurement modeling, ai-based negotiation support, fraud detection and compliance automation.
The rising need for cloud services is expected to drive the growth of generative artificial intelligence (AI) in the procurement market in the coming years. Cloud services refer to computing resources delivered over the internet - such as storage, databases, and software - provided by cloud computing vendors, allowing users to access and utilize these services without maintaining on-premises infrastructure. The growing demand for cloud services is driven by the need for agility, innovation, cost efficiency, and competitive advantage in an increasingly digital and interconnected environment. Generative AI in procurement is strengthened by the scalable computing power and flexibility offered by cloud services, enabling organizations to fully leverage generative AI algorithms while benefiting from the adaptable, accessible, and cost-effective nature of cloud infrastructure. For example, in April 2025, the American Bar Association, a U.S.-based professional organization, reported that approximately 75% of attorneys used cloud computing for work-related tasks, an increase from 69% in 2023 and around 70% in 2022. Therefore, the rising need for cloud services is contributing to the growth of generative artificial intelligence (AI) in the procurement market.
Key players in the generative artificial intelligence (AI) procurement market are developing innovative solutions such as the generative AI Suite to enhance the competitive edge of finance and procurement teams. A generative AI suite for procurement encompasses a suite of AI-powered tools and solutions aimed at streamlining and optimizing various facets of the procurement process. For instance, in October 2023, ZIP, a US-based provider of cutting-edge software solutions, unveiled its Generative AI Suite, revolutionizing team workflows by offering advanced tools and capabilities. The suite includes predictive analytics, automated insights, supplier relationship management, and contract management, seamlessly integrating AI into request intake, approval, and contract renewal workflows. This integration eliminates the need for thousands of hours that employees would otherwise spend on labor-intensive vendor contract reviews and error-prone data entry for purchase requests, purchase orders, and invoices.
In August 2024, Enverus Holdings Inc., a U.S.-based technology company specializing in energy-focused SaaS solutions, acquired BidOut Inc. for an undisclosed amount. Through this acquisition, Enverus aims to integrate BidOut’s AI-driven RFx sourcing capabilities into its Source-to-Pay suite to enhance business automation, improve procurement efficiency and compliance, and strengthen its buyer-supplier network. BidOut Inc. is a U.S.-based technology company that provides an AI-powered procurement platform designed to streamline RFx creation, connect buyers with multiple suppliers, and optimize sourcing and supplier management within the energy sector.
Major companies operating in the generative AI in procurement market are Google LLC; Microsoft Corporation; Dell Technologies Inc.; Amazon Web Services Inc.; International Business Machines Corporation (IBM); Oracle Corporation; Jabil Optics Germany GmbH; SAP SE; Genpact Limited; GEP Worldwide; Zoho Corporation Pvt. Ltd.; Coupa Software Inc.; Basware Corporation; Zycus Inc.; Jaggaer Holdings Inc.; Tradeshift Holdings Inc.; Ivalua Inc.; Agiloft Inc.; Master of Code Global Inc.; Sirion Inc.; Scoutbee GmbH; Simfoni Limited; LevaData Inc.; Aavenir Inc.; Suplari Inc.
North America was the largest region in the generative 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 generative 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 generative AI in procurement market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the generative AI in procurement market by increasing costs and limiting access to advanced AI software, cloud infrastructure, and procurement automation tools. This has slowed adoption in segments such as predictive modeling, contract analysis, and supplier evaluation, particularly in regions like North America and Asia-Pacific where technology imports are significant. Large enterprises and SMEs procuring goods and services are most affected. On the positive side, tariffs have encouraged local development of AI procurement solutions and investment in regional cloud infrastructure, fostering innovation and cost-efficient procurement automation capabilities.
The generative AI in procurement market research report is one of a series of new reports that provides generative AI in procurement market statistics, including generative AI in procurement industry global market size, regional shares, competitors with a generative AI in procurement market share, detailed generative AI in procurement market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in procurement industry. This generative 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.
Generative artificial intelligence (AI) applied in procurement refers to the utilization of AI algorithms and technologies to optimize and streamline diverse facets of the procurement process within businesses and organizations. It is employed to automate document creation, predict demand, assess suppliers, and optimize pricing, thereby enhancing efficiency and decision-making throughout procurement.
The primary categories of generative artificial intelligence (AI) in procurement include direct procurement, indirect procurement, goods procurement, and service procurement. Generative AI in direct procurement entails the use of artificial intelligence to simplify the sourcing and acquisition of goods and services directly linked to production processes, such as raw materials and machinery. Different sizes of organizations, ranging from large enterprises to small and medium enterprises, leverage these technologies for various purposes, including supplier identification, product or service recommendations, negotiation assistance, risk evaluation, contract analysis, fraud detection, predictive modeling, and more.
The generative artificial intelligence (AI) in procurement market consists of revenues earned by entities providing services such as automated document generation, supplier selection and evaluation, contract management, supplier relationship management, and invoice and payment processing. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in procurement market also includes sales of market intelligence platforms, payment automation tools, AI-powered procurement analytics platforms, blockchain-based procurement platforms, and compliance monitoring 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.
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Table of Contents
Executive Summary
Generative 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 generative 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 generative 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 generative 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 Type: Direct Procurement; Indirect Procurement; Goods Procurement; Services Procurement2) By Organization Size: Large Enterprise; Small And Medium Enterprises
3) By Application: Supplier Identification; Product Or Service Recommendation; Negotiation Support; Risk Assessment; Contract Analysis; Fraud Detection; Predictive Modeling; Other Applications
Subsegments:
1) By Direct Procurement: Raw Material Sourcing; Supplier Relationship Management; Production And Manufacturing Materials Procurement2) By Indirect Procurement: Office Supplies And Equipment Procurement; Marketing And IT Services Procurement; Facility And Logistics Procurement
3) By Goods Procurement: Physical Product Sourcing; Inventory Management And Restocking; Supplier Selection For Goods
4) By Services Procurement: Consulting And Professional Services; Outsourced Services And Contracts; Software And IT Services Procurement
Companies Mentioned: Google LLC; Microsoft Corporation; Dell Technologies Inc.; Amazon Web Services Inc.; International Business Machines Corporation (IBM); Oracle Corporation; Jabil Optics Germany GmbH; SAP SE; Genpact Limited; GEP Worldwide; Zoho Corporation Pvt. Ltd.; Coupa Software Inc.; Basware Corporation; Zycus Inc.; Jaggaer Holdings Inc.; Tradeshift Holdings Inc.; Ivalua Inc.; Agiloft Inc.; Master of Code Global Inc.; Sirion Inc.; Scoutbee GmbH; Simfoni Limited; LevaData Inc.; Aavenir Inc.; Suplari Inc.
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
The companies featured in this Generative AI in Procurement market report include:- Google LLC
- Microsoft Corporation
- Dell Technologies Inc.
- Amazon Web Services Inc.
- International Business Machines Corporation (IBM)
- Oracle Corporation
- Jabil Optics Germany GmbH
- SAP SE
- Genpact Limited
- GEP Worldwide
- Zoho Corporation Pvt. Ltd.
- Coupa Software Inc.
- Basware Corporation
- Zycus Inc.
- Jaggaer Holdings Inc.
- Tradeshift Holdings Inc.
- Ivalua Inc.
- Agiloft Inc.
- Master of Code Global Inc.
- Sirion Inc.
- Scoutbee GmbH
- Simfoni Limited
- LevaData Inc.
- Aavenir Inc.
- Suplari Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.26 Billion |
| Forecasted Market Value ( USD | $ 0.61 Billion |
| Compound Annual Growth Rate | 24.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


