Procurement Analytics Market Size and Share
Procurement Analytics Market Analysis by Mordor Intelligence
The Procurement Analytics Market size is estimated at USD 5.74 billion in 2025, and is expected to reach USD 17.12 billion by 2030, at a CAGR of 24.40% during the forecast period (2025-2030). Rapid cloud migration, the infusion of generative AI into source-to-pay workflows, and heightened attention to supply-chain resilience underpin the expansion of the procurement analytics market. Enterprises continue to replace disconnected legacy tools with unified analytics suites that elevate spend visibility, improve supplier performance, and automate tactical buying. Software remains the principal revenue generator, yet the steepest growth is shifting to services as organizations seek specialized expertise to integrate multi-tenant platforms with complex ERP landscapes. Adoption is accelerating among small and medium enterprises, whose cloud-native deployments bypass capital-intensive infrastructure while delivering enterprise-grade capabilities. Intensifying regulations—especially around ESG compliance and data sovereignty—are reshaping deployment decisions and prompting vendors to expand local hosting footprints.
Key Report Takeaways
- By type, software held 71.3% of the procurement analytics market share in 2024, whereas services are projected to accelerate at 27.2% CAGR through 2030.
- By deployment, cloud models accounted for 63.6% of the procurement analytics market size in 2024 and will expand at a 25.8% CAGR to 2030.
- By application, spend analytics led with 34.4% revenue share in 2024, while risk analytics is poised for the fastest 26.6% CAGR through 2030.
- By end-user industry, manufacturing commanded 27.2% of 2024 revenue; healthcare and life sciences is forecast to rise at a 26.4% CAGR to 2030.
- By organization size, large enterprises contributed 64.3% of 2024 revenue, though SME adoption is climbing at 27.4% CAGR.
- By geography, North America captured 37.4% of 2024 revenue; Asia-Pacific is the fastest-growing region at 26.8% CAGR.
Global Procurement Analytics Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
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SaaS-first procurement-suite road-maps | +4.2% | Global; early uptake in North America and EU | Medium term (2-4 years) |
Generative-AI copilots embedded in source-to-pay | +5.8% | North America and EU core; expanding to APAC | Short term (≤ 2 years) |
Cloud-native TCO economics for mid-market buyers | +3.1% | Global; strong in APAC | Medium term (2-4 years) |
ESG-linked supplier scoring mandates | +2.9% | EU and North America; expanding globally | Long term (≥ 4 years) |
Predictive risk analytics for near-shoring strategies | +4.5% | Global; manufacturing hubs | Medium term (2-4 years) |
Autonomous purchasing bots for tail-spend | +3.7% | North America and EU early adopters | Short term (≤ 2 years) |
Source: Mordor Intelligence |
SaaS-first procurement-suite road-maps
Companies are retiring fragmented on-premise tools in favor of unified, cloud-native suites that scale on demand, enable organization-wide spend visibility, and accelerate analytics roll-out schedules. Adoption momentum is most evident among mid-market firms that lacked the capital for enterprise-grade infrastructure, yet now benefit from subscription pricing and automated updates. Once operational, these platforms consolidate disparate data sources, laying the groundwork for machine-learning models that optimize sourcing events and monitor compliance in real time. Vendors that bundle prebuilt connectors and low-code interfaces are gaining an edge because they shorten time-to-value and minimize reliance on scarce integration talent.
Generative-AI copilots embedded in source-to-pay
Generative AI modules embedded inside requisition, contract, and supplier-performance workflows are transforming procurement from reactive to insight-led operations. Fortune-500 adopters report double-digit cuts in processing time after letting AI draft sourcing documents, classify open-text spend, and surface negotiation levers. [1]Zycus, “GenAI Deployment within Fortune 500 Companies,” zycus.com Nevertheless, only a minority of enterprises allow unrestricted model access because sensitive commercial data requires rigorous governance. Vendors are responding by shipping policy-based access controls, localized language models, and in-platform redaction features that satisfy data-protection officers without stalling innovation.
Cloud-native TCO economics for mid-market buyers
Multi-tenant architectures erase capital outlays for hardware, routine maintenance, and disaster-recovery tooling. Mid-sized manufacturers using cloud suites report double-digit productivity gains and smoother upgrade cycles that free IT staff for value-added analytics projects. Enhanced elasticity also permits organizations to spin up sandboxed environments for AI model training without disrupting business-critical workloads, further lowering experimentation barriers.
ESG-linked supplier scoring mandates
Europe’s Supply Chain Due Diligence Directive and similar statutes in the United States are forcing buyers to embed environmental and social metrics into supplier evaluations. Platforms that integrate real-time emissions dashboards and diversity benchmarks are seeing uptake as procurement teams tie contract award criteria to carbon-footprint thresholds. [2]Supplier.io, “Beyond Good Intentions: The Tangible Business Case for ESG-Focused Procurement,” supplier.io Early adopters report tangible payoffs, including reduced risk of regulatory penalties and greater brand preference among sustainability-minded customers.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Shortage of procurement-data engineers | −2.8% | Global; acute in North America and EU | Short term (≤ 2 years) |
“Shadow IT” spend outside ERP integration | −1.9% | Global; higher in decentralized firms | Medium term (2-4 years) |
Data-sovereignty regulations limiting cross-border hosting | −1.4% | EU and APAC; spreading globally | Long term (≥ 4 years) |
Multi-tenant cost models pressured by Gen-AI GPU pricing | −1.1% | Global cloud deployments | Short term (≤ 2 years) |
Source: Mordor Intelligence |
Shortage of procurement-data engineers
Fifty-eight percent of enterprises struggle to recruit analytics talent who grasp both data-engineering principles and category-management nuances. The scarcity inflates wage bills and prolongs deployment cycles as over-extended teams juggle cleansing, normalization, and model-maintenance tasks. Some firms offset the gap by adopting low-code data-pipelines or outsourcing model-build projects to vendors, yet knowledge transfer remains a persistent bottleneck.
“Shadow IT” spend outside ERP integration
On average, enterprises run more than 1,000 cloud services, only a tenth of which are visible to central IT. Unregistered tools fracture spend data, hampering the end-to-end view that procurement analytics market solutions need to detect savings opportunities or policy violations. Education campaigns, sanctioned app-stores, and modern API hubs are emerging as preferred countermeasures, but governance programs still trail adoption velocity.
Segment Analysis
By Type: Services capture accelerating demand
Services held a comparatively small revenue base but are rising at 27.2% CAGR, outpacing platform growth as enterprises acknowledge that skilled implementation drives sustained outcomes. Advisory teams perform data-model tuning, supplier-onboarding, and change-management workshops that customers cannot replicate internally. Johnson Controls’ global roll-out, which linked 800 suppliers across 14 plants, underscored the scale of integration work required. [3]LeanDNA, “Johnson Controls Selects LeanDNA to Connect 800+ Global Suppliers,” leandna.com The procurement analytics market size for services is therefore projected to expand rapidly, even though software retains a 71.3% share. Cross-training initiatives, best-practice libraries, and outcome-based pricing models are further boosting service uptake by aligning fees with realized savings.
Platform providers continue reinforcing self-service configuration wizards, yet growing data-quality expectations keep professional services in demand. Vendors with embedded advisory arms can monetize both license and services streams, while pure-play consultancies specialize in complex ERP co-existence or multi-lingual supplier-enablement campaigns. As platform functionality standardizes, differentiation tilts toward implementation accelerators and domain-specific playbooks that cut time-to-value.
By Deployment: Cloud leadership intensifies
Cloud accounts for 63.6% of 2024 revenue, confirming its status as the dominant delivery model for the procurement analytics market. The economics improve when factoring in avoided hardware refreshes, automated patching, and usage-based scaling. Weinor’s adoption of a cloud suite trimmed requisition cycle times by up to 41%, equating to a full-time employee’s productivity gain. On-premise persists in regulated verticals that mandate local data residency, but even these buyers favor hybrid models that host sensitive records in private clouds while consuming AI engines from public clouds.
Edge-ready architecture is emerging as a differentiator, enabling near-real-time analytics at factory sites with intermittent connectivity. Vendors that pre-certify with hyperscalers and colocation providers accelerate customer deployments while satisfying sovereignty constraints. Consequently, the procurement analytics market share of cloud deployments is set to widen further as smaller firms leapfrog on-premise generations altogether.
By Application: Risk analytics outpaces foundational spend analytics
Spend analytics remains the cornerstone, but the procurement analytics market size attributable to risk analytics is climbing fastest at 26.6% CAGR. The spike follows an uptick in disruptions ranging from raw-material shortages to geopolitical trade shifts, which exposed the limitations of rear-view dashboards. Platforms now ingest shipment trackers, macro-economic indicators, and supplier-financial scores to flag potential bottlenecks before they affect production. Semiconductor, medical-device, and food manufacturers increasingly rely on predictive alerts to justify buffer-stock or near-shoring strategies.
Contract-lifecycle, supplier-performance, and demand-forecasting modules continue to expand in tandem, as organizations prefer suites that share a common data model. Vendors emphasize configurable risk-scoring engines so customers can weigh factors such as ESG performance or cyber-resilience alongside traditional lead-time metrics.

Note: Segment shares of all individual segments available upon report purchase
By End-user Industry: Healthcare accelerates, manufacturing dominates
Manufacturing held a 27.2% revenue share in 2024, leveraging analytics to orchestrate multi-tier supply chains and navigate volatile commodity pricing. Healthcare and life-sciences, however, is the standout growth engine at 26.4% CAGR, driven by stringent compliance reporting and pressure to lower procedure costs. Banner Health trimmed USD 3.2 million from surgical supplies by standardizing preference cards on an analytics platform. Similar momentum is unfolding in pharmaceuticals, where analytics track validated suppliers and monitor cold-chain integrity.
Energy, transportation, and retail segments also intensify investment to counter inflation and boost ESG transparency. Multiple industries converge on one theme: analytics now influence not just unit price negotiations but broader resilience strategies, including dual-sourcing and capacity-buffer orchestration.
By Organization Size: SMEs embrace cloud-native simplicity
Large enterprises supplied 64.3% of 2024 revenue, yet SME subscriptions are growing at 27.4% CAGR as vendors roll out pay-as-you-grow tiers. Cloud deployment lowers the skill threshold, allowing lean teams to obtain AI-driven insights previously restricted to corporations with dedicated data-science groups. Provisur Technologies’ 20% spend reduction illustrates the magnitude of gains achievable when mid-market firms implement guided-sourcing analytics. To sustain traction, suppliers bundle pre-mapped commodity taxonomy, mobile approval workflows, and user-experience designs tuned for generalists.
Geography Analysis
North America led the procurement analytics market with 37.4% revenue in 2024. Mature cloud infrastructure, a dense ecosystem of specialized service providers, and continued tariff uncertainty encourage enterprises to invest in real-time cost-modeling engines. Universities and utilities confirm that more than 60% of their suppliers express tariff-related concerns, pushing buyers to deploy scenario-planning dashboards. [4]University of California, “Report on Supply Chain Challenges and Opportunities in 2025,” procurement.ucop.edu Federal incentives for reshoring critical materials add another dimension, requiring analytics that integrate subsidy tracking and local-content thresholds.
Asia-Pacific delivers 26.8% CAGR due to manufacturing-led digitization and supportive e-governance programs. Asia-Pacific posts the fastest growth. Government-led manufacturing 4.0 grants in China and South-East Asia subsidize automation that pairs machine-data streams with procurement KPIs. Multinational OEMs locate sourcing centers in Singapore to tap its cloud-first regulations, then extend shared services across ASEAN plants. Japanese conglomerates, historically cautious about public-cloud workloads, are adopting sovereign-cloud zones that satisfy domestic privacy statutes while enabling AI model training on multi-year purchasing archives.
Europe ranks close behind North America in absolute spend. ESG compliance drives analytics to the boardroom, where supply-chain transparency becomes as strategic as price savings. France’s digital-sovereignty charter propels demand for regionally hosted suites, while the United Kingdom’s post-Brexit customs landscape amplifies the need for harmonized tariff-classification tools. Eastern European manufacturers, aiming to capture near-shoring contracts, invest in risk-analytics modules that quantify geopolitical exposure and logistics lead-time variability.

Competitive Landscape
The procurement analytics market remains moderately fragmented. ERP giants SAP, Oracle, and IBM leverage cross-selling access to large installed bases, bundling analytics into enterprise subscriptions that promise single-vendor simplicity. Best-of-breed vendors such as Coupa, Zycus, Jaggaer, and Sievo compete on rapid innovation cycles and vertical feature depth. Sievo’s in-platform AI assistant, for instance, auto-categorizes long-tail spend and recommends consolidation options.
Funding momentum signals continued disruption: LightSource secured USD 33 million to expand a supply-chain software suite designed to model tariff scenarios for US importers. Partnerships also matter. Johnson Controls and LeanDNA jointly built a digital thread spanning 800 suppliers, evidencing how integration specialists augment platform capabilities.
While consolidation activity intensifies as incumbents acquire AI startups to fast-track roadmap gaps, pure-play challengers differentiate through intuitive UX, preconfigured metrics, and industry-specific content packs. Data-sovereignty pressures compel all vendors to extend regional hosting and bring-your-own-key encryption, adding infrastructure complexity that favors scale players but allows niche providers to win in regulated pockets.
Procurement Analytics Industry Leaders
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SAP SE
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Oracle Corporation
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IBM Corporation
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SAS Institute Inc.
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Coupa Software Inc.
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- March 2025: LightSource raised USD 33 million to scale its tariff-scenario modeling platform, targeting manufacturers grappling with shifting trade policies.
- January 2025: SAP posted record Q1 2025 cloud revenue of EUR 4,993 million (USD 5,493 million), with cloud ERP modules—procurement analytics included—growing 34% year-over-year.
- December 2024: Zycus reported that 94% of procurement teams now employ generative-AI tools, up from 50% the prior year.
- November 2024: KNOLL Maschinenbau implemented Tacto’s platform to comply with Germany’s due diligence law while boosting spend transparency.
- July 2024: Flex paired with aPriori to introduce cost analytics that sharpen RFQ win rates, illustrating analytics’ role in competitive quoting.
Global Procurement Analytics Market Report Scope
Procurement analytics uses quantitative methods to derive actionable insights and results from the given data. This process helps organizations to improve their decision-making and gain a competitive advantage. Moreover, it ensures the correct usage of data for business management.
The Procurement Analytics Market is segmented by type (software, services), deployment type (on-premise, cloud), application (supply chain analytics, risk analytics, spend analytics, demand forecasting, contract management), end-user (manufacturing, supply chain & logistic, retail, and e-commerce, BFSI, IT & telecommunication), and geography (North America, Europe, Asia Pacific, Rest of the World). The report offers market forecasts and size in value (USD) for all the above segments.
By Type | Software | ||
Services | |||
By Deployment | On-Premise | ||
Cloud | |||
By Application | Spend Analytics | ||
Risk Analytics | |||
Supply Chain Analytics | |||
Contract Management | |||
Demand Forecasting | |||
Supplier Performance Management | |||
By End-user Industry | Manufacturing | ||
Transportation and Logistics | |||
Retail and E-commerce | |||
BFSI | |||
IT and Telecommunication | |||
Healthcare and Life Sciences | |||
Energy and Utilities | |||
Other End-user Industries | |||
By Organization Size | Large Enterprises | ||
Small and Medium Enterprises (SMEs) | |||
By Geography | North America | United States | |
Canada | |||
Mexico | |||
South America | Brazil | ||
Argentina | |||
Chile | |||
Rest of South America | |||
Europe | Germany | ||
United Kingdom | |||
France | |||
Italy | |||
Spain | |||
Russia | |||
Rest of Europe | |||
Asia-Pacific | China | ||
Japan | |||
India | |||
South Korea | |||
Singapore | |||
Malaysia | |||
Australia | |||
Rest of Asia-Pacific | |||
Middle East and Africa | Middle East | Saudi Arabia | |
United Arab Emirates | |||
Turkey | |||
Rest of Middle East | |||
Africa | South Africa | ||
Nigeria | |||
Egypt | |||
Rest of Africa |
Software |
Services |
On-Premise |
Cloud |
Spend Analytics |
Risk Analytics |
Supply Chain Analytics |
Contract Management |
Demand Forecasting |
Supplier Performance Management |
Manufacturing |
Transportation and Logistics |
Retail and E-commerce |
BFSI |
IT and Telecommunication |
Healthcare and Life Sciences |
Energy and Utilities |
Other End-user Industries |
Large Enterprises |
Small and Medium Enterprises (SMEs) |
North America | United States | |
Canada | ||
Mexico | ||
South America | Brazil | |
Argentina | ||
Chile | ||
Rest of South America | ||
Europe | Germany | |
United Kingdom | ||
France | ||
Italy | ||
Spain | ||
Russia | ||
Rest of Europe | ||
Asia-Pacific | China | |
Japan | ||
India | ||
South Korea | ||
Singapore | ||
Malaysia | ||
Australia | ||
Rest of Asia-Pacific | ||
Middle East and Africa | Middle East | Saudi Arabia |
United Arab Emirates | ||
Turkey | ||
Rest of Middle East | ||
Africa | South Africa | |
Nigeria | ||
Egypt | ||
Rest of Africa |
Key Questions Answered in the Report
What is the current size of the procurement analytics market?
The procurement analytics market is valued at USD 5.74 billion in 2025 and is projected to reach USD 17.12 billion by 2030.
Which application segment is expanding fastest?
Risk analytics is the quickest-growing application, posting a 26.6% CAGR as firms prioritize supply-chain resilience.
Why are services growing faster than software?
Organizations increasingly need specialized expertise for data integration, AI model tuning, and change management, fueling a 27.2% services CAGR.
How are SMEs adopting procurement analytics solutions?
Cloud-native, pay-as-you-grow models eliminate heavy infrastructure costs, enabling SMEs to embrace analytics at a 27.4% CAGR.
Which region shows the strongest market growth?
Asia-Pacific leads in growth with a 26.8% CAGR, helped by manufacturing digitization programs and supportive government policies.
What role does ESG regulation play in procurement analytics adoption?
EU and North American due-diligence laws drive demand for platforms that embed supplier sustainability scoring, positioning analytics as a compliance essential.
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