AI in Procurement Statistics — 100 Key Figures

100 Key Figures in AI in Procurement

Here are 100 key AI in procurement statistics that highlight how artificial intelligence is transforming procurement. These figures reveal the latest trends in AI adoption, procurement automation, market growth, data readiness, and the challenges organizations face as they integrate AI into their procurement processes.

1. 71.3% of procurement professionals use AI at least three days per week

Our survey, conducted together with Suplari, shows that 71.3% of respondents use AI in procurement work three or more days per week.

This indicates that AI is already becoming a regular part of procurement activities, not only an occasional tool. For 2026, this supports the idea that AI usage is moving toward everyday procurement practice.

2. 48.4% of respondents use AI every working day

Our survey, conducted together with Suplari, shows that 48.4% of respondents use AI five days per week.

This suggests that a significant share of procurement professionals already rely on AI as a daily work assistant. The result is useful for showing that AI adoption is becoming embedded in routine procurement work.

3. 82.8% of organizations do not have an actively enforced AI governance framework

Our survey, conducted together with Suplari, shows that only 17.2% of respondents say their organization has an AI policy or governance framework that is actively enforced.

This means that most organizations are using or exploring AI without fully mature rules, controls, and responsibilities. For 2026, this makes AI governance one of the most important readiness gaps in procurement.

4. 73.8% of organizations have fragmented or still-consolidating procurement data

Our survey, conducted together with Suplari, shows that 73.8% of organizations have procurement data that is either fragmented or still being consolidated.

This means that most procurement teams do not yet have fully standardized, governed, and AI-ready data. The indicator is important because poor data quality limits the value of AI in spend analytics, supplier management, contract analysis, and automation.

5. Only 9.8% of organizations have governed or AI-ready procurement data

Our survey, conducted together with Suplari, shows that only 9.8% of respondents report that their procurement data is governed or fully AI-ready.

This shows that advanced AI adoption is still limited by weak data foundations. For 2026, procurement teams will need stronger data ownership, taxonomies, quality controls, and system integration before AI can scale effectively.

6. 67.2% of organizations have siloed or only partially integrated procurement systems

Our survey, conducted together with Suplari, shows that 67.2% of respondents say their procurement systems are either siloed or only connected through limited integrations.

This suggests that many teams still rely on manual data transfers between ERP, P2P, sourcing, contract, and reporting systems. For AI adoption, this creates a major barrier because AI tools need connected and consistent data flows.

7. Only 11.5% of organizations have coordinated or fully integrated procurement systems

Our survey, conducted together with Suplari, shows that only 11.5% of organizations report coordinated integrations or a fully integrated procurement ecosystem.

This shows that end-to-end digital maturity is still relatively low. For 2026, system integration will be a key prerequisite for procurement automation, real-time analytics, and AI-supported decision-making.

8. 72.1% of procurement teams have a high or very high manual workload

Our survey, conducted together with Suplari, shows that 72.1% of procurement teams spend a large share of time on manual data work, reporting preparation, or reactive issue resolution.

This indicates that many procurement functions still have significant automation potential. AI can directly address this gap by reducing manual reporting, data gathering, and repetitive administrative work.

9. Only 6.6% of procurement teams report low manual workload or high automation

Our survey, conducted together with Suplari, shows that only 6.6% of respondents say their team has low manual workload or highly automated routine reporting and data work.

This shows that automation maturity is still low across most procurement organizations. For 2026, this makes workflow automation and AI-assisted reporting strong candidates for early AI use cases.

10. 59.8% of procurement insights are handled through ad-hoc follow-up or rarely translated into action

Our survey, conducted together with Suplari, shows that 59.8% of respondents say procurement insights are either followed up informally or rarely converted into action.

This means that even when savings opportunities, risks, or improvement ideas are identified, many organizations lack structured execution mechanisms. AI can help only if insights are connected to workflows, ownership, tracking, and measurable outcomes.

11. Only 11.5% of organizations have workflow-driven or operationalized insight-to-value execution

Our survey, conducted together with Suplari, shows that only 11.5% of respondents say procurement insights are routed into defined workflows or automatically tracked through execution and value realization.

This indicates that many organizations still struggle to convert analysis into measurable business impact. For 2026, this supports the need for AI-enabled workflow orchestration, not only AI-generated insights.

12. 62.3% of organizations struggle to demonstrate procurement’s financial impact

Our survey, conducted together with Suplari, shows that 62.3% of respondents say procurement’s financial impact is either difficult to quantify or reported but debated by finance.

This shows that procurement value is often not fully visible or consistently validated. AI can support this area by improving savings tracking, spend visibility, cost avoidance validation, and P&L impact reporting.

13. Only 11.5% of organizations have integrated or real-time procurement value tracking

Our survey, conducted together with Suplari, shows that only 11.5% of respondents report integrated value tracking or real-time visibility into procurement’s financial impact.

This shows that most organizations still lack mature financial performance measurement in procurement. For 2026, AI-enabled dashboards and finance-integrated reporting can become important tools for proving procurement value.

14. 80.3% of organizations are still exploring or experimenting with AI in procurement

Our survey, conducted together with Suplari, shows that 80.3% of organizations are still in the exploring or experimenting stage of the procurement AI journey.

This means that most organizations have not yet moved to broad deployment or embedded AI operations. For 2026, this confirms that procurement AI adoption is still largely in the early maturity phase.

15. Only 19.7% of organizations are deploying, embedding, or operating AI in procurement

Our survey, conducted together with Suplari, shows that only 19.7% of respondents say their organization is deploying AI, embedding it in operations, or already working with AI-driven procurement.

This shows that scalable AI implementation remains limited. The result is useful for positioning 2026 as a transition year from AI pilots toward operational AI adoption.

16. 90.2% of procurement operating models are still reactive or only emerging proactive

Our survey, conducted together with Suplari, shows that 90.2% of respondents describe their procurement operating model as reactive, mostly reactive, or emerging proactive.

This indicates that most procurement teams are not yet fully data-driven or predictive. AI can support the transition from reactive procurement toward proactive risk monitoring, supplier intelligence, and opportunity identification.

17. Only 9.8% of procurement teams operate in a data-driven, proactive, or AI-enabled predictive model

Our survey, conducted together with Suplari, shows that only 9.8% of respondents describe their operating model as data-driven and proactive or AI-enabled predictive.

This shows that advanced procurement maturity is still uncommon. For 2026, this creates a strong argument for investing in analytics, AI, supplier intelligence, and predictive decision support.

18. 49.2% of organizations prioritize digital efficiency, data visibility, or AI-enabled scale over the next 12–18 months

Our survey, conducted together with Suplari, shows that 49.2% of organizations identify digital process efficiency, data and visibility, or AI-enabled scale as their primary strategic priority.

This shows that procurement transformation is increasingly connected with automation, analytics, and AI readiness. For 2026, these priorities indicate that procurement teams are preparing the foundations for broader AI adoption.

19. 38.5% of organizations still prioritize cost and savings as their main procurement focus

Our survey, conducted together with Suplari, shows that 38.5% of organizations still select cost and savings as their main procurement priority.

This shows that even with growing interest in AI, traditional procurement goals remain highly important. AI adoption should therefore be framed not only as digital transformation, but also as a way to improve savings capture, cost control, and financial performance.

20. 62.3% of respondents use ChatGPT / GPT-4 in procurement work

Our survey, conducted together with Suplari, shows that 62.3% of valid respondents use ChatGPT / GPT-4 in procurement work.

This makes it the most frequently selected AI tool in the survey and shows that general-purpose generative AI tools are already widely used in procurement tasks such as drafting, analysis, research, and communication. For 2026, this suggests that procurement AI adoption may start with accessible tools before moving into specialized procurement platforms.

21. 59.8% of respondents use Microsoft Copilot in procurement work

Our survey, conducted together with Suplari, shows that 59.8% of respondents use Microsoft Copilot in procurement work.

This indicates that AI adoption is also happening through tools already embedded in daily office work, such as Word, Excel, Outlook, and Teams. For procurement teams, this can accelerate AI adoption because users do not need to switch immediately to separate AI procurement platforms.

22. 35.2% of respondents use Google Gemini in procurement work

Our survey, conducted together with Suplari, shows that 35.2% of respondents use Google Gemini in procurement work.

This shows that procurement professionals are experimenting with multiple generative AI tools rather than relying on only one platform. For 2026, this creates a need for clearer tool governance, approved-use guidelines, and training on responsible AI use.

23. Only 8.2% of respondents use AI features within procurement platforms

Our survey, conducted together with Suplari, shows that only 8.2% of respondents use AI features within procurement platforms such as Coupa, SAP Ariba, or Jaggaer.

This suggests that most AI usage is currently happening through general-purpose AI tools rather than embedded procurement technology. For 2026, this highlights a gap between individual AI usage and enterprise-level AI integration in procurement systems.

24. 80% of CPOs plan to deploy Generative AI within the next three years

According to the EY 2025 Global CPO Survey, 80% of CPOs plan to deploy generative AI in procurement within the next three years, while only 36% currently have meaningful GenAI implementations.

This shows that AI adoption in procurement is moving from experimentation toward broader implementation, but many organizations are still at an early maturity stage. For 2026 and beyond, this means procurement teams will increasingly need to prepare their data, processes, and people for AI-enabled sourcing, contracting, and analytics.

25. 64% of procurement executives expect GenAI to fundamentally change how teams operate

The Hackett Group reports that 64% of procurement executives expect GenAI to fundamentally change how procurement teams operate within the next five years.

This suggests that AI is not viewed only as a tool for small efficiency gains but as a technology that can reshape roles, workflows, decision-making, and team structures. For future procurement functions, the main challenge will be deciding which activities should be automated, which should be augmented, and where human judgment must remain central.

26. 90% of procurement leaders have considered or are already using AI agents

A 2025 ProcureCon CPO Report published with Icertis found that 90% of procurement leaders have considered or are already using AI agents to optimize operations.

AI agents are important because they can support more autonomous workflows, such as contract review, supplier risk monitoring, sourcing support, and decision preparation. This points to a future where procurement work may shift from manually executing tasks to supervising AI-supported processes and validating recommendations.

27. 64% of decision-makers prioritize better data insights through AI and analytics

Amazon Business’ 2025 State of Procurement Data report highlights that 64% of decision-makers prioritize better data insights through AI and analytics.

This shows that one of the strongest AI use cases in procurement is improving visibility over spend, suppliers, demand patterns, risks, and performance. For 2026 and beyond, procurement teams will need stronger data quality and analytics capabilities before they can fully benefit from advanced AI tools.

28. 53.44% of CPOs see spend analytics and dashboarding as a top GenAI use case

Deloitte’s 2025 Global CPO Survey data, summarized by Art of Procurement, shows that 53.44% of CPOs identify spend analytics and dashboarding as a leading GenAI use case in procurement.

This is important because spend visibility is the foundation for cost reduction, supplier consolidation, demand management, and better sourcing decisions. AI can make spend analysis faster and more actionable by detecting patterns, summarizing insights, and supporting decision-making.

29. 42.33% of CPOs identify RFP/RFQ generation as a top GenAI use case

According to the same Deloitte CPO data, 42.33% of CPOs see RFP/RFQ generation as one of the top GenAI applications in procurement.

This means AI is already being used to support sourcing documentation, supplier questions, requirement structuring, and bid preparation. In the future, this can shorten sourcing cycle times and help procurement teams create more consistent, complete, and professional tender documents.

30. 41.27% of CPOs see contract summarization and key-term extraction as a top GenAI use case

Deloitte’s CPO data also shows that 41.27% of CPOs identify contract summarization and key-term extraction as a major GenAI use case.

This is especially relevant because procurement teams often manage large numbers of supplier contracts with complex clauses, renewal dates, risks, and obligations. AI can help procurement professionals review contracts faster, identify key risks, and improve compliance with agreed terms.

31. 67.68% of CPOs see enhanced analytics and decision-making as a key GenAI value driver

Deloitte’s 2025 CPO data indicates that 67.68% of CPOs see enhanced analytics and decision-making as a key value driver of GenAI in procurement.

This shows that AI is not only about automation, but also about improving the quality and speed of procurement decisions. In future years, procurement teams that combine AI insights with human expertise will be better positioned to manage cost, risk, supplier performance, and market complexity.

32. 49.43% of CPOs see productivity gains as a key GenAI value driver

Deloitte’s CPO data shows that 49.43% of CPOs identify productivity gains as one of the main value drivers of GenAI in procurement.

This reflects the strong potential of AI to reduce time spent on manual reporting, document drafting, supplier research, and repetitive administrative work. For 2026 and beyond, productivity will likely be one of the clearest business cases for AI adoption in procurement.

33. 23% of organizations are already scaling agentic AI systems

McKinsey reports that 23% of organizations are scaling agentic AI systems somewhere in the enterprise, while another 39% have started experimenting with AI agents.

This matters for procurement because agentic AI can support multi-step workflows such as supplier screening, contract analysis, risk monitoring, and sourcing event preparation. The implication for future procurement is that AI will increasingly move from simple assistance toward more autonomous task execution under human supervision.

34. 51% of AI-using organizations have experienced at least one negative AI consequence

McKinsey’s 2025 survey found that 51% of organizations using AI have experienced at least one negative consequence, with AI inaccuracy being one of the most common issues.

This is highly relevant for procurement because inaccurate supplier, contract, cost, or risk information can lead to poor decisions and compliance problems. Therefore, AI in procurement must be supported by governance, human validation, data controls, and clear accountability.

35. 73% of procurement professionals already use AI for procurement use cases

Ironclad’s 2025 State of AI in Procurement report found that 73% of procurement professionals already use AI for procurement-related use cases.

This shows that AI adoption in procurement has moved beyond early curiosity and is becoming part of operational work across sourcing, contracts, spend analysis, and supplier management. For 2026 and beyond, the key challenge will be turning this broad adoption into measurable business impact.

36. 91% of finance-sector procurement teams use AI

The same Ironclad report shows that AI adoption is highest in finance, where 91% of procurement professionals report using AI.

This suggests that industries with stronger governance, compliance discipline, and structured data may be better positioned to scale AI in procurement. For future procurement transformation, finance-sector adoption can serve as a useful benchmark for regulated and data-intensive industries.

37. 65% of retail procurement teams use AI

Ironclad reports that retail has the lowest AI adoption among the listed industries, but even there, 65% of procurement professionals use AI.

This shows that AI adoption is widespread even in sectors where procurement work can be highly fragmented, supplier-heavy, and operationally complex. For 2026 and future years, retail procurement may need to focus more strongly on data integration, supplier visibility, and scalable AI use cases.

38. 49% of procurement teams piloted GenAI use cases in 2024

The Hackett Group reported that approximately 49% of procurement teams piloted GenAI use cases in 2024.

This indicates that many procurement functions are still testing GenAI before moving into full deployment. For 2025–2026, the key transition is from pilot projects to repeatable, controlled, and value-generating AI processes.

39. Only 4% of procurement teams reported large-scale GenAI deployment

The Hackett Group also found that only 4% of procurement teams had reached large-scale GenAI deployment.

This gap between experimentation and scaling shows that procurement organizations still face barriers related to data quality, process redesign, governance, skills, and integration with existing systems. For future years, AI maturity in procurement will depend less on trying tools and more on embedding them into everyday workflows.

40. 47% of organizations use embedded AI in existing procurement software

According to The Hackett Group, about 47% of organizations are using embedded AI in existing procurement software, such as AI-enabled classification or procurement copilots.

This shows that many organizations are adopting AI through platforms they already use, instead of building separate AI systems from scratch. In the coming years, embedded AI will likely become one of the easiest adoption paths for procurement teams because it connects AI directly with sourcing, P2P, contract, and supplier workflows.

41. AI-driven procurement tools delivered up to 10% improvements in productivity, quality, and cost savings

The Hackett Group reported that AI-driven procurement tools delivered improvements of up to 10% in productivity, quality, and cost savings.

This is important because it links AI adoption with measurable procurement performance rather than only digital transformation narratives. For 2026 and beyond, these performance improvements can help procurement leaders justify investment in AI tools, automation, and analytics.

42. 66% of procurement leaders identify AI as a top CPO priority

The 2025 ProcureCon CPO Report states that 66% of respondents identified AI as a top priority for their CPOs in the next year.

This confirms that AI is now part of the strategic procurement agenda, not only an operational technology issue. For future procurement leaders, AI will increasingly be connected with decision-making, process optimization, supplier management, and enterprise value creation.

43. 42% of organizations have adopted AI in contracting practices

World Commerce & Contracting’s 2025 AI report found that 42% of organizations have adopted AI within their contracting practices.

This is highly relevant for procurement because supplier contracts contain key information about obligations, risks, prices, renewal dates, and compliance requirements. In future procurement functions, AI-supported contracting can improve contract visibility, reduce review time, and support better supplier relationship management.

44. Only 11% of procurement leaders report a measurable AI and machine learning impact

The 2026 ProcureCon CPO Report, sponsored by Icertis, found that only 11% of procurement leaders say they are already implementing AI and machine learning with measurable impact.

At the same time, many more organizations are still piloting or evaluating AI opportunities, which shows a clear gap between readiness and results. For 2026 and the following years, procurement teams will need stronger KPIs, governance, and implementation discipline to prove AI’s real business value.

45. 94% of procurement executives use Generative AI at least once per week

According to Art of Procurement’s 2026 overview, weekly use of generative AI among procurement executives increased significantly, with 94% now using it at least once per week.

This indicator is connected with the survey question about how often AI is used in procurement work. It shows that AI is becoming a regular work tool in procurement, not only an occasional experiment. For 2026 and beyond, this means procurement teams will increasingly need AI literacy, prompt-writing skills, and the ability to apply AI in daily sourcing, analysis, reporting, and supplier-related tasks.

46. 73% of procurement professionals already use AI for procurement use cases

According to Ironclad’s 2025 State of AI in Procurement report, 73% of procurement professionals already use AI for procurement-related use cases.

This indicator is connected with the survey question about whether and how often AI is used in procurement work. It shows that AI adoption in procurement is already widespread across activities such as sourcing, contracts, reporting, workflow automation, and supplier management. For 2026 and beyond, the main challenge will be moving from basic AI use toward structured, measurable, and governed AI adoption.

47. 80% of CPOs plan to deploy Generative AI within the next three years

According to the EY 2025 Global CPO Survey, 80% of CPOs plan to deploy generative AI in procurement within the next three years, while only 36% currently have meaningful GenAI implementations.

This indicator is connected with the survey question about strategic priorities for the next 12–18 months. It shows that AI adoption in procurement is moving from experimentation toward broader implementation, but many organizations are still at an early maturity stage. For 2026 and beyond, procurement teams will increasingly need to prepare their data, processes, and people for AI-enabled sourcing, contracting, and analytics.

48. 64% of procurement leaders expect AI to transform their roles within five years

The Hackett Group reports that 64% of procurement leaders expect AI and GenAI to transform their roles within the next five years.

This indicator is connected with the survey question about the future role of procurement teams and the organization’s AI maturity. It shows that AI is not only expected to automate tasks, but also to change responsibilities, decision-making, required skills, and operating models. For 2026 and beyond, procurement professionals will need to combine category expertise with AI-enabled analysis, risk management, and strategic decision support.

49. 25–40% efficiency improvement potential through AI agents in procurement

McKinsey estimates that agentic AI could increase procurement efficiency by 25% to 40%.

This indicator is connected with survey questions about manual work, reactive issue resolution, and time spent on tasks that AI could automate. It shows that AI can reduce transactional workload and allow procurement teams to focus more on strategy, supplier management, and value creation. For 2026 and beyond, AI agents may become especially important in sourcing support, supplier screening, purchase request handling, and contract-related workflows.

50. Up to 10% improvement in productivity, quality, and cost savings from AI-driven procurement tools

The Hackett Group reported that AI-driven procurement tools delivered improvements of up to 10% in productivity, quality, and cost savings.

This indicator is connected with survey questions about procurement performance, automation potential, and financial impact. It shows that AI can generate measurable benefits, not only support digital transformation in a general sense. For 2026 and beyond, this type of performance evidence will be important for justifying further AI investment in procurement.

51. 64% of decision-makers prioritize better insights through AI and analytics

Amazon Business’ 2025 State of Procurement Data report states that 64% of decision-makers prioritize generating better data insights through AI and analytics.

This indicator is connected with survey questions about procurement data, reporting, analytics, and decision-making. It shows that one of the strongest AI use cases in procurement is transforming data into insights that support better sourcing, supplier, and cost decisions. For 2026 and beyond, the value of AI will depend strongly on data quality, data integration, and the ability to turn analytics into action.

52. 74% of procurement leaders say their data is not AI-ready

Art of Procurement’s 2026 overview cites Gartner data showing that 74% of procurement leaders say their data is not AI-ready.

This indicator is directly connected with the survey question about how integrated and accessible procurement data is today. It shows that data readiness is one of the biggest barriers to successful AI adoption in procurement. For 2026 and beyond, procurement teams will need cleaner supplier data, better spend classification, stronger contract data, and more consistent links between ERP, P2P, sourcing, and contract systems.

53. 47% of organizations use embedded AI in existing procurement software

The Hackett Group found that about 47% of organizations are using embedded AI in existing procurement software, such as AI-enabled classification or procurement copilots.

This indicator is connected with the survey question about which AI tools are currently used in procurement work. It shows that many organizations are adopting AI through platforms they already use, instead of building separate AI solutions from the beginning. For 2026 and beyond, embedded AI in ERP, P2P, sourcing, contract, and spend-management systems will likely become one of the fastest paths to procurement AI adoption.

54. 53.44% of CPOs identify spend analytics and dashboarding as a top GenAI use case

Deloitte CPO data, summarized by Art of Procurement, shows that 53.44% of CPOs identify spend analytics and dashboarding as a leading GenAI use case.

This indicator is connected with survey questions about procurement reporting, data visibility, and financial impact. It shows that procurement leaders see AI as a way to improve spend visibility, identify savings opportunities, and support faster decision-making. For 2026 and beyond, spend analytics will remain one of the most important starting points for AI-enabled procurement transformation.

55. 42.33% of CPOs identify RFP/RFQ generation as a top GenAI use case

Deloitte CPO data, summarized by Art of Procurement, shows that 42.33% of CPOs identify RFP/RFQ generation as a leading GenAI use case in procurement.

This indicator is connected with survey questions about where AI could be deployed and which procurement activities can be automated. It shows that AI has strong potential in sourcing preparation, requirement structuring, supplier communication, and tender documentation. For 2026 and beyond, AI-supported RFP and RFQ generation can help procurement teams reduce cycle time and improve the consistency of sourcing documents.

56. 41.27% of CPOs identify contract summarization and key-term extraction as a top GenAI use case

Deloitte CPO data, summarized by Art of Procurement, shows that 41.27% of CPOs identify contract summarization and key-term extraction as a major GenAI use case.

This indicator is connected with survey questions about contract management, supplier obligations, and risk visibility. It shows that AI can help procurement teams quickly identify clauses, renewal dates, pricing terms, obligations, and risks in supplier contracts. For 2026 and beyond, contract-related AI can support faster reviews, better compliance, and stronger supplier relationship management.

57. 42% of organizations have adopted AI in contracting practices

World Commerce & Contracting’s 2025 AI report found that 42% of organizations have adopted AI within their contracting practices.

This indicator is connected with the procurement areas of contract management, supplier risk, and commercial governance. It shows that AI adoption in contracting is becoming more mature, especially for contract analytics, obligation tracking, risk identification, and document review. For 2026 and beyond, AI in contracting can help procurement teams improve visibility over supplier agreements and reduce manual contract administration.

58. 90% of procurement leaders have considered or already use AI agents

Icertis and ProcureCon reported that 90% of procurement leaders have considered or are already using AI agents to optimize operations.

This indicator is connected with survey questions about AI adoption journey, future priorities, and procurement operating model. It shows that procurement is moving beyond simple AI assistants toward more autonomous AI-supported workflows. For 2026 and beyond, AI agents may support supplier analysis, contract review, sourcing preparation, spend monitoring, and decision recommendations under human supervision.

59. 67% of procurement teams use AI for workflow automation and procurement orchestration

Ironclad’s 2025 State of AI in Procurement report found that 67% of procurement teams use AI for workflow automation and procurement orchestration.

This indicator is connected with survey questions about manual workload, reactive work, and process automation. It shows that AI is increasingly used to coordinate procurement processes, reduce manual handoffs, and improve execution across sourcing, approvals, contracts, and supplier workflows. For 2026 and beyond, workflow automation will be one of the key ways procurement teams improve speed, control, and operational efficiency.

60. 63% of procurement teams use AI for generating reports and dashboards

Ironclad’s 2025 State of AI in Procurement report states that 63% of procurement teams use AI for generating reports and dashboards.

This indicator is connected with survey questions about reporting preparation, procurement insights, and proving procurement’s financial impact. It shows that AI can support faster and clearer reporting on spend, savings, supplier performance, risks, and operational priorities. For 2026 and beyond, AI-generated reporting can help procurement communicate value more effectively to finance and senior leadership.

61. 79% of CPOs identify productivity gains as their top AI objective

According to the 2025 State of Source-to-Pay Digitization report by Ardent Partners and Ivalua, 79% of CPOs indicate productivity gains as their top AI objective.

This shows that procurement leaders primarily see AI as a way to reduce repetitive work, accelerate processes, and improve team output. For 2026 and beyond, productivity will remain one of the strongest business cases for AI investment in procurement.

62. 72% of CPOs believe AI will have a transformational or significant impact

According to the 2025 State of Source-to-Pay Digitization report, states that 72% of CPOs believe AI’s impact on procurement will be either transformational or significant.

This indicates that AI is increasingly viewed as a strategic procurement capability rather than only a technical tool. For 2026 and beyond, this means procurement functions will need to redesign workflows, roles, and decision-making processes around AI-enabled capabilities.

63. 53% of CPOs allocated more money to procurement technology in 2025

Ardent Partners and Ivalua report that 53% of CPOs allocated more money to technology in 2025, compared with 30% in 2024.

This shows a strong increase in confidence toward digital procurement and AI-related investments. For 2026 and beyond, higher technology budgets can support better automation, integrated platforms, data visibility, and advanced analytics in procurement.

64. 47% of CPOs plan to adopt integrated Source-to-Pay technology

According to Ardent Partners and Ivalua, 47% of CPOs plan to adopt integrated Source-to-Pay technology to streamline operations and manage supply chain complexity.

This indicator is important because AI in procurement depends on connected systems, structured data, and end-to-end process visibility. For 2026 and beyond, integrated S2P platforms will likely become a foundation for scaling AI across sourcing, contracting, supplier management, purchasing, and payments.

65. 49% of CPOs expect AI to enhance procurement decision-making

The 2025 State of Source-to-Pay Digitization report found that 49% of CPOs expect AI to enhance decision-making.

This shows that AI is not only being used for automation, but also for improving the quality of procurement decisions. For 2026 and beyond, AI can support better supplier choices, spend analysis, sourcing strategies, contract reviews, and risk-based decisions.

66. 48% of CPOs say better data visibility and analytics would improve performance

Ardent Partners and Ivalua report that 48% of CPOs believe better data visibility and analytical capabilities are the best way to take current performance to the next level.

This connects directly with AI readiness, because poor or fragmented data limits the value of AI tools. For 2026 and beyond, procurement teams will need cleaner, more accessible, and better-governed data before AI can deliver reliable insights.

67. 32% of CPOs see AI as a way to increase savings

According to Ardent Partners and Ivalua, 32% of CPOs see AI as a tool for increasing savings.

This shows that AI is being linked directly with financial procurement outcomes, not only operational efficiency. For 2026 and beyond, AI can support savings through spend visibility, supplier consolidation, demand analysis, price benchmarking, and better sourcing decisions.

68. 27% of CPOs expect AI to support smarter forecasting

The 2025 State of Source-to-Pay Digitization report states that 27% of CPOs look to AI for smarter forecasting.

This is important because procurement increasingly needs to anticipate demand, supplier risk, price changes, and supply disruptions. For 2026 and beyond, AI-supported forecasting can help procurement move from reactive purchasing toward more proactive planning and risk management.

69. 22% of CPOs planned to invest more than $1 million in GenAI for sourcing and procurement in 2025

Deloitte reports that 22% of CPOs planned to invest more than $1 million in GenAI capabilities for sourcing and procurement in 2025, up from close to 11% in 2024.

This shows that procurement AI investment is growing quickly as organizations move from interest to funded implementation. For 2026 and beyond, larger AI budgets may accelerate use cases such as RFX generation, contract review, spend dashboards, and category intelligence.

70. 38% of organizations were piloting or deploying GenAI in spend dashboards

Deloitte found that 38% of early adopters were piloting or deploying GenAI in spend dashboards.

This confirms that spend analytics is one of the most practical starting points for AI in procurement. For 2026 and beyond, AI-enabled dashboards can help teams identify savings opportunities, monitor supplier performance, detect anomalies, and improve financial visibility.

71. More than 26% of procurement teams automate over 46% of their processes with AI

Zip’s 2025 procurement AI study found that over a quarter of procurement teams are already automating more than 46% of their processes with AI.

This shows that AI is beginning to affect core procurement workflows, not only small administrative tasks. For 2026 and beyond, higher automation levels may reshape how procurement teams handle approvals, supplier evaluation, intake, reporting, and purchasing processes.

72. 31.4% of procurement teams let AI lead supplier evaluation

Zip’s 2025 study reports that 31.4% of procurement teams already use AI to lead the supplier evaluation process.

This is a strong indicator that AI is moving into strategic procurement areas traditionally handled by humans. For 2026 and beyond, AI-supported supplier evaluation can improve speed and consistency, but it will also require human oversight to manage bias, data quality, and supplier risk.

73. Over 75% of procurement executives are concerned about AI risks

Zip’s 2025 study found that more than three-quarters of procurement executives are moderately or highly concerned about AI-related risks connected with data quality, reliability, and bias.

This shows that AI adoption in procurement must be supported by governance, validation, and clear accountability. For 2026 and beyond, responsible AI use will become especially important in supplier selection, contract analysis, pricing decisions, and risk management.

74. The AI in the procurement market is expected to grow at a 28% CAGR from 2026 to 2035

Precedence Research estimates that the global AI in procurement market will grow at a compound annual growth rate of 28% from 2026 to 2035.

This shows that AI in procurement is expected to expand strongly over the next decade. For 2026 and beyond, this growth will likely be driven by automation, data-driven decision-making, supplier risk management, cost optimization, and AI-enabled procurement platforms.

75. Cloud-based AI procurement solutions held 72% market share in 2025

Precedence Research reports that cloud-based deployment dominated the AI in procurement market with approximately 72% share in 2025.

This indicates that companies prefer scalable, flexible, and easier-to-integrate AI procurement solutions. For 2026 and beyond, cloud-based AI tools will likely support faster deployment across sourcing, supplier management, spend analytics, contract management, and procurement automation.

76. 80% of CPOs consider AI investment a procurement priority

Art of Procurement’s 2026 overview reports that 80% of CPOs consider AI investment a priority, while 66% describe it as a high priority.

This shows that AI has become part of the strategic procurement agenda, not only a technology trend. For 2026 and beyond, procurement leaders will need to connect AI investment with measurable outcomes such as savings, productivity, supplier performance, and risk reduction.

77. 72% of procurement leaders prioritize GenAI integration into procurement strategies

According to Art of Procurement’s 2026 overview, citing Gartner, 72% of procurement leaders prioritize the integration of GenAI into procurement strategies.

This indicates that GenAI is increasingly being treated as a strategic capability rather than a separate experimental tool. For 2026 and beyond, procurement teams will need to design clear use cases, governance rules, and adoption roadmaps for GenAI-enabled procurement.

78. 50% of organizations are expected to use AI-enabled contract negotiation tools by 2027

Art of Procurement’s 2026 overview cites Gartner’s prediction that 50% of organizations will use AI-enabled contract negotiation tools by 2027.

This shows that AI is moving deeper into contract management and commercial negotiation, not only document drafting or summarization. For 2026 and beyond, procurement teams may increasingly use AI to compare clauses, suggest negotiation positions, identify risks, and improve contract outcomes.

79. 89% of CPOs say they are mostly or somewhat ready to leverage AI

The 2026 ProcureCon CPO Report, sponsored by Icertis, found that 89% of CPOs rate themselves as mostly or somewhat ready to leverage AI.

This shows that procurement leaders are increasingly confident about AI readiness, even though measurable AI impact remains limited in many organizations. For 2026 and beyond, the key issue will be converting perceived readiness into scalable use cases, reliable data, and measurable procurement value.

80. 65% of CPOs are piloting AI solutions

The 2026 ProcureCon CPO Report states that 65% of CPOs are currently piloting AI solutions.

This confirms that many procurement organizations are still in the pilot stage, testing AI before scaling it across core processes. For 2026 and beyond, success will depend on moving from isolated pilots to integrated workflows in sourcing, contracts, supplier management, and spend analytics.

81. 24% of CPOs are still evaluating AI opportunities

The 2026 ProcureCon CPO Report found that 24% of CPOs are evaluating AI opportunities rather than actively implementing them.

This shows that a significant share of procurement leaders are still deciding where AI can create the most value. For 2026 and beyond, this evaluation stage should focus on practical use cases with clear ROI, such as spend analysis, supplier risk monitoring, contract review, and intake automation.

82. The global AI in procurement market was valued at USD 3.32 billion in 2025

Precedence Research estimates that the global AI in procurement market was worth USD 3.32 billion in 2025 and is projected to reach USD 4.25 billion in 2026.

This shows that AI in procurement is already a multi-billion-dollar market with strong near-term growth. For 2026 and beyond, this growth will likely be supported by demand for automation, cost optimization, supplier risk management, and data-driven decision-making.

83. The AI in the procurement market is projected to reach USD 39.20 billion by 2035

Precedence Research projects that the global AI in procurement market will grow from USD 4.25 billion in 2026 to approximately USD 39.20 billion by 2035.

This indicates that AI in procurement is expected to expand strongly over the next decade. For 2026 and beyond, procurement organizations that build AI capabilities early may gain advantages in process efficiency, supplier visibility, and strategic decision-making.

84. North America held 45% of the AI in procurement market in 2025

Precedence Research reports that North America led the AI in procurement market with approximately 45% global share in 2025.

This suggests that North America is currently the leading region for AI procurement adoption and investment. For 2026 and beyond, this leadership may be linked to stronger digital infrastructure, earlier adoption of cloud solutions, and higher investment in automation and analytics.

85. Software accounted for 70% of the AI in the procurement market in 2025

According to Precedence Research, the software segment held approximately 70% of the AI in procurement market in 2025.

This shows that most market value is currently concentrated in AI-enabled platforms, applications, and procurement software solutions. For 2026 and beyond, software will remain central to AI adoption across spend analytics, supplier management, contract lifecycle management, sourcing automation, and risk prediction.

86. Machine learning captured 43% of the AI in the procurement market in 2025

Precedence Research states that the machine learning segment led the AI in the procurement market with approximately 43% share in 2025.

This shows that machine learning is currently one of the most important technologies behind AI-enabled procurement tools. For 2026 and beyond, machine learning will continue to support spend classification, supplier risk analysis, anomaly detection, demand forecasting, and predictive procurement decisions.

87. Supplier management and identification held 25% of the AI in the procurement market in 2025

Precedence Research reports that supplier management and identification led AI procurement applications with approximately 25% market share in 2025.

This shows that supplier-related use cases are among the most important areas for AI in procurement. For 2026 and beyond, AI can help procurement teams identify reliable suppliers, monitor performance, assess risks, support compliance, and improve supplier relationship management.

88. AI tools are already helping procurement professionals at 64% of firms

Economist Impact reports that AI tools are already helping procurement professionals at 64% of firms.

This shows that AI is already creating practical value in procurement work, especially through efficiency, decision support, and automation of routine tasks. For 2026 and beyond, the main question will be how organizations can scale this support while maintaining human oversight and procurement expertise.

89. AI tools help procurement professionals at 69% of firms with more than USD 500 million in annual revenue

Economist Impact found that 69% of organizations with annual revenue of USD 500 million or more say AI tools help procurement professionals do their jobs better.

This suggests that larger organizations may be better positioned to benefit from AI because they often have more data, larger procurement teams, and stronger digital infrastructure. For 2026 and beyond, large enterprises are likely to lead AI-enabled procurement transformation in areas such as analytics, supplier risk, sourcing, and contract management.

90. Over 50% of respondents say AI tools have already replaced some procurement tasks or roles

Economist Impact reports that more than 50% of respondents say AI tools have already replaced some procurement tasks or roles in their organizations.

This shows that AI is not only supporting procurement work but also changing how tasks are distributed and performed. For 2026 and beyond, procurement teams will need to redefine roles around higher-value work such as supplier strategy, stakeholder collaboration, risk management, and AI-supported decision-making.

91. 31.56% of CPOs see better spend management as a key GenAI value driver

According to Deloitte’s 2025 Global CPO Survey, summarized by Art of Procurement, 31.56% of CPOs identify better management of spend as a key value driver of GenAI in sourcing and procurement.

This shows that AI is strongly connected with spend visibility, spend classification, and more accurate analysis of purchasing patterns. For 2026 and beyond, procurement teams can use GenAI to identify savings opportunities, reduce maverick spend, and support more data-driven sourcing decisions.

92. 28.90% of CPOs identify cost optimization as a key GenAI value driver

Deloitte’s 2025 Global CPO Survey data shows that 28.90% of CPOs see cost optimization as one of the main value drivers of GenAI in procurement.

This indicator is important because it connects AI directly with financial performance and procurement savings. For 2026 and beyond, AI can support cost optimization through supplier benchmarking, price analysis, demand visibility, contract insights, and smarter sourcing decisions.

93. 24.33% of CPOs expect GenAI to increase process consistency

According to Deloitte’s 2025 Global CPO Survey, 24.33% of CPOs identify increased process consistency as a key value driver of GenAI in sourcing and procurement.

This shows that AI can help standardize procurement workflows, documentation, approvals, and supplier communication. For 2026 and beyond, process consistency will be important for reducing errors, improving compliance, and making procurement operations more scalable.

94. 23.19% of CPOs see improved risk management as a key GenAI value driver

Deloitte’s 2025 Global CPO Survey data shows that 23.19% of CPOs identify improved risk management as a key GenAI value driver in procurement.

This indicator is connected with supplier risk, market volatility, contract risk, and supply chain disruption monitoring. For 2026 and beyond, AI can help procurement teams detect early warning signals, assess supplier exposure, and respond more quickly to operational and financial risks.

95. 22.81% of CPOs identify improved knowledge management as a GenAI value driver

According to Deloitte’s 2025 Global CPO Survey, 22.81% of CPOs see improved knowledge management as a key value driver of GenAI in procurement.

This shows that AI can help procurement teams organize and reuse internal knowledge from contracts, supplier records, category strategies, sourcing events, and previous negotiations. For 2026 and beyond, better knowledge management can reduce dependency on individual experience and make procurement decisions more consistent across teams.

96. 18.63% of CPOs see compliance management as a GenAI value driver

Deloitte’s 2025 Global CPO Survey data shows that 18.63% of CPOs identify enhanced compliance management as a GenAI value driver in sourcing and procurement.

This is relevant because procurement must increasingly manage regulatory, contractual, ESG, supplier, and internal policy compliance. For 2026 and beyond, AI can support compliance by reviewing contracts, checking supplier documentation, flagging policy deviations, and improving audit readiness.

97. 18.25% of CPOs expect GenAI to improve the quality of procurement outcomes

According to Deloitte’s 2025 Global CPO Survey, 18.25% of CPOs identify improved quality of outcomes as a GenAI value driver in procurement.

This shows that AI is not only expected to make procurement faster, but also to improve the quality of decisions and deliverables. For 2026 and beyond, AI can help procurement teams prepare better RFPs, evaluate suppliers more consistently, improve contract reviews, and generate stronger analytical insights.

98. 67% of CPOs cite data privacy, security, and compliance as barriers to scaling AI

The 2026 ProcureCon CPO Report, sponsored by Icertis, found that 67% of CPOs cite data privacy, security, and compliance as top barriers to scaling AI in procurement.

This shows that AI adoption in procurement depends not only on technology, but also on trust, governance, and responsible data use. For 2026 and beyond, procurement teams will need clear AI policies, secure data practices, human oversight, and compliance controls before AI can be scaled across sensitive procurement processes.

99. 36% of respondents identify insufficient data governance policies or standards as the biggest barrier to AI adoption in procurement

According to ProcureAbility’s 2026 CPO-CIO Report, 36% of respondents rated insufficient data governance policies or standards as the biggest data-related barrier to AI adoption in procurement.

This shows that AI adoption in procurement depends strongly on the quality of data governance, not only on technology availability. For 2026 and beyond, procurement teams will need clearer data ownership, stronger standards, and better controls before AI can be scaled safely and effectively.

100. 26% of respondents cite limited internal skills to manage and analyze procurement data as a major barrier

ProcureAbility’s 2026 CPO-CIO Report also found that 26% of respondents see limited internal skills to manage and analyze procurement data as the largest limiting factor after data governance.

This indicator is directly relevant to AI readiness because procurement teams need analytical, digital, and data-management skills to use AI effectively. For 2026 and beyond, upskilling procurement professionals will be essential for turning AI tools into measurable procurement value.

Conclusion

As AI is rapidly reshaping procurement, most organizations are still in the early stages of adoption. While many procurement professionals already use AI for tasks such as spend analysis, supplier management, contract review, and reporting, challenges like poor data quality, fragmented systems, and weak AI governance continue to limit its full potential.

These statistics show that organizations that invest in AI-ready data, integrated procurement systems, and clear governance frameworks will be better positioned to improve efficiency, reduce costs, strengthen supplier relationships, and make smarter procurement decisions.

Ultimately, AI is no longer just an emerging technology in procurement. It is becoming a strategic capability for organizations looking to stay competitive in an increasingly digital and data-driven world.

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