On this page
- How we built this report, and where it is weak
- Trend one: AI is on the roadmap, but most teams are still in the pilot room
- Trend two: bigger workloads, smaller teams, and silos that nobody has fixed
- Trend three: tariffs made resilience a budget line instead of a slide
- Trend four: sustainability data is now a procurement deliverable
- Trend five: procurement is moving closer to the CEO, the CFO and the budget
- What these five trends add up to
- What we would do before the 2027 budget locks
- What this research cannot tell you
- How to cite and reuse this report
- Frequently asked questions
Key takeaways
- AI has moved from pilot to planning item. The Hackett Group found 43 percent of organizations actively pursuing AI in procurement, yet only 12 percent run it at large scale.
- Gartner found just 36 percent of chief procurement officers very confident they can redesign roles and processes around AI. Tools are arriving faster than operating models.
- Workloads are rising while teams shrink. Hackett projects an 8 percent workload increase in 2026 with headcount and operating budgets declining.
- Tariffs turned resilience into a spending line. In McKinsey's survey of 100 supply chain leaders, 82 percent said new tariffs affect their supply chains, and 39 percent are pursuing dual sourcing.
- Supplier visibility stops at tier one for most buyers. 95 percent see tier-one risk, and only 42 percent see tier two or beyond.
- Every number here comes from a named study with its sample size and date shown. Where a study did not publish a sample size, we say so.
Every autumn the same thing happens in procurement teams. Budget season arrives, someone asks for "the numbers" to justify next year's plan, and a junior analyst spends two days stitching together screenshots from vendor blog posts. Half the figures have no source. A few contradict each other. One was clearly written by a marketing team and lifted from a 2019 deck.
We built this report so that person has somewhere better to start. It is a reading of what six research programmes published in 2024, 2025 and 2026 say about where procurement is heading in 2027, with the sample, the date and the link beside every figure. It is not a forecast with invented 2027 percentages. Nobody can honestly publish those yet, and you should be wary of anyone who does.
Every statistic on this page in one CSV file, with publisher, study, sample size, timing and source link. Use it in your own work. Please credit the original publisher and link back to this page.
How we built this report, and where it is weak
The rules were simple. A figure goes in only if we opened the original publication or the publisher's own release and read it ourselves. Secondary blogs were used to find studies, never as the final source. Where a number reached us through a trade publication reporting on a study, the table below says so.
| Source | Who was asked | When | What we used |
|---|---|---|---|
| Gartner CPO survey | 101 chief procurement officers | Fielded January to February 2026, released May 2026 | Confidence in redesigning for AI, the AI productivity paradox |
| Deloitte Global CPO Survey | More than 250 CPOs in 40 countries | Released August 2025 | Technology budgets, GenAI returns, barriers, risk tactics |
| Hackett Group Key Issues Study | Sample size not published on the pages we read | Announced March 2026 | AI adoption stages, workload outlook, embedded AI |
| McKinsey procurement report, reported by Digital Commerce 360 | More than 300 procurement leaders | Published November 2025 | Reporting lines, spend per employee, efficiency potential |
| McKinsey supply chain risk pulse | 100 companies in its annual leaders survey | Published December 2025 | Tariff impact, resilience moves, tier-two visibility |
| EcoVadis Sustainable Procurement Barometer | 1,000 multinational buyers and about 2,000 suppliers | 2026 edition | ESG data, supplier carbon reporting, AI use |
| Gartner sourcing leaders survey, reported by Supply Chain Management Review | 258 sourcing and procurement leaders | Fielded June to July 2024 | Top concerns, supply disruption |
Now the weak spots, because you will be asked about them. These are different populations answering different questions in different months. A 43 percent in one study and a 19 percent in another measure different things, and we never average them. Surveys also record what executives say they do, not what they do. And the Hackett pages we could read did not state a sample size, so we use its figures as directional and say so each time.
The research behind this page was published between 2024 and early 2026. The 2027 part is our reading of where those numbers point, written by people who buy and review procurement software for a living. When we are giving our opinion rather than reporting a figure, we say "our read".
Trend one: AI is on the roadmap, but most teams are still in the pilot room
Start with the number that surprised us most. The Hackett Group found that 80 percent of procurement executives expect AI-enabled technology to be the most transformational trend for the function over the next five years. Ahead of automation, changes in skills and the other long-standing drivers. AI.
Then look at what teams have actually done. In the same study, 43 percent are actively pursuing AI deployment in procurement, which Hackett says is nearly double the level of the year before. Only 12 percent report large-scale implementation. Most of the rest are running pilots or a single use case.
- Expect AI to be most transformational80%
- Reach AI through their existing platform69%
- Actively pursuing AI deployment43%
- Large-scale AI implementation12%
Source: The Hackett Group, 2026 Procurement Key Issues Study. Sample size not published on the pages we read.
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One detail in that data changes how you should shop. Hackett reports that 69 percent of organizations get their AI through capabilities embedded in the procurement platform they already own, mostly for transactional work. If most buyers meet AI as a feature of their current suite, then the platform you pick in 2027 is also your AI strategy, whether you meant it to be or not.
The paradox nobody puts on the slide
Gartner surveyed 101 CPOs in early 2026 and found only 36 percent were very confident they could redesign roles and processes around AI. It also described an "AI productivity paradox": individual users save time and produce more, but those gains decline significantly when you measure the whole team.
Our read is that this is the most useful sentence in the entire body of 2026 procurement research. It says the tool is not the bottleneck. A buyer who drafts a sourcing event in ten minutes instead of two hours has gained nothing for the company if the approval chain behind it still takes nine days.
Deloitte's numbers point the same way. Its top-quartile "Digital Masters" report an average 3.2 times return on GenAI, while the "Followers" projected a little over 1.5 times. Our read is that the gap has less to do with who bought a better model and more to do with operating habits and who is allowed to change a process.
McKinsey adds a ceiling and a warning. It estimates the next wave of agentic AI could make procurement operations 25 to 40 percent more efficient, and it also reports that 40 percent of procurement functions have begun using generative AI. Notice the word "could" in that estimate. It is a modelled potential, not a measured result, and you should not paste it into a business case as if it were a customer outcome.
- Which single process will this change, and what does that process cost per month today?
- Who owns the process, and are they allowed to change the steps around the tool?
- Is the AI embedded in a platform we already pay for, and are we using it?
- What would the team stop doing in the first quarter if this worked?
- How will we measure the result at team level, not only for one power user?
Trend two: bigger workloads, smaller teams, and silos that nobody has fixed
Hackett projects procurement workloads to rise 8 percent in 2026 while headcount and operating budgets decline. McKinsey found that companies now manage 50 percent more spend per employee than they did five years ago. Put those two together and the 2027 problem is not ambition. It is capacity.
Deloitte asked CPOs what stops them delivering value. The top answer was not budget.
- Siloed ways of working57%
- Competing priorities dilute focus46%
- Capability to support execution40%
- Talent gap34%
Source: Deloitte Global CPO Survey 2025, more than 250 CPOs in 40 countries.
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Siloed ways of working led at 57 percent. We keep coming back to this one because it is the least glamorous finding in the survey and the one with the most practical consequence. If requisitions live in email, contracts live in a shared drive and supplier records live in a finance system, then no amount of analytics software gives you one version of the truth. It gives you three dashboards that disagree.
That is the honest case for platform consolidation in 2027. Not "a single pane of glass", a phrase we would happily retire, but fewer places where the same supplier is spelled four different ways. Our guide to maverick spend shows what happens when the front door of the process is not obvious to the people buying.
The McKinsey data adds a structural footnote. Two thirds of the companies it surveyed have split procurement into strategic and transactional tracks, and more than half have set up centres of excellence for analytics and cost modelling. Teams that are short on people are not hiring their way out. They are separating the work that needs judgment from the work that needs only speed, and routing the second kind to automation.
Trend three: tariffs made resilience a budget line instead of a slide
Resilience used to appear in procurement strategy documents as a paragraph in the risk section. In 2025 it got a cost centre. McKinsey's supply chain risk pulse found that 82 percent of the 100 companies surveyed said new tariffs affect their supply chains, with 20 to 40 percent of supply chain activity touched. Thirty-nine percent reported higher supplier and material costs.
What did they do about it? Among the firms facing tariff effects, 45 percent are increasing inventories, 39 percent are pursuing dual sourcing and 33 percent are developing nearshoring or onshoring plans for suppliers. McKinsey also found that fewer than 7 percent introduced countermeasures purely because of tariffs, which suggests tariffs accelerated plans that were already half formed.
Deloitte asked a different question: which tactics work best? Its CPO respondents rated maintaining active alternative sources the most effective risk move at 74 percent, followed by greater supply chain visibility at 64 percent and better supplier information sharing at 61 percent.
- Keep active alternative sources74%
- Greater supply chain visibility64%
- Supplier information sharing and collaboration61%
Source: Deloitte Global CPO Survey 2025.
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Look at the order. Buyers rate "have a second supplier ready" above "know what your first supplier is doing", yet the McKinsey data says relatively few have a clear view of the second layer. That brings us to the number we find hardest to ignore.
The tier-two blind spot
- Visibility into tier-one supplier risks95%
- Visibility into tier two or beyond42%
- Mapped tier-two suppliers58%
Source: McKinsey supply chain risk pulse 2025, 100 companies. Fewer than half of those who mapped tier two have regular direct contact with them.
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Ninety-five percent can see tier-one risk. Forty-two percent can see tier two or beyond. McKinsey notes that the tier-two figure rose by 22 percentage points after years of decline, so the direction is good. But if your bill of materials depends on a sub-supplier you have never spoken to, a tariff or a factory fire three steps away will reach you as a surprise.
Gartner's 2024 survey of 258 sourcing leaders had already named the pattern. Supply disruption was the top concern for 42 percent, ahead of macroeconomic factors at 33 percent and geopolitical trends and compliance issues at 32 percent each. The 2025 tariff data shows that same concern moving out of the risk register and into the plan.
If you are building a 2027 supplier risk programme, our vendor risk management guide walks through tiering suppliers by what they would cost you if they stopped, and the supplier risk management software category lists the products worth comparing.
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Trend four: sustainability data is now a procurement deliverable
Procurement leaders did not ask to own supplier ESG data, but they do. The EcoVadis Sustainable Procurement Barometer 2026 surveyed 1,000 multinational buyers with revenue above US$1 billion, along with about 2,000 suppliers. Ninety-eight percent of the buyers have started embedding ESG data into procurement, manually or through digital tools.
The harder question is whether the data is any good. Forty-eight percent of buyers say they can see ESG practices for most of their tier-one suppliers, a major increase since 2024. Twenty-six percent now cover more than half their spend with third-party ESG ratings. And 55 percent have moved from experimenting with AI to operational use, mainly for ESG analytics and risk screening.
Then there is the supply side. When EcoVadis looked at what suppliers actually report, the picture was thinner than the buyer-side confidence suggests.
- No carbon data at all30%
- Aggregated Scope 1 and 2, limited Scope 326%
- Estimated using models or averages23%
- Detailed activity-level data21%
Source: EcoVadis Sustainable Procurement Barometer 2026. The page does not state the base for this chart.
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Our read: by 2027 the question buyers get asked will be less "do you have an ESG policy" and more "show me the Scope 3 number and how you got it". Buyers who cannot get that number from 30 percent of their suppliers will either estimate it, which is a quiet way of making up data, or start scoring suppliers on whether they can supply it at all.
Trend five: procurement is moving closer to the CEO, the CFO and the budget
McKinsey found that two thirds of the procurement leaders it surveyed report directly to the CEO or CFO. It also found that companies with advanced operating models have EBITDA margins five percentage points higher than peers, according to its Global Procurement Excellence benchmark. That is a correlation reported by a consulting firm with an interest in operating models, so hold it loosely, but the reporting line finding is a plain count of who answers to whom.
Money follows access. Deloitte reports that Digital Masters allocate up to 24 percent of their procurement budgets to technology, nearly double the 2023 level, and project 26 percent for the next fiscal year. If a quarter of your budget is technology, then buying a tool and running a tool become the same job, and your vendor management system is no longer a side project.
The adoption data shows how uneven this still is. McKinsey reports that 60 percent of large firms and 30 percent of small firms have fully implemented procure-to-pay platforms, and that only a third use e-sourcing tools. The gap between large and small is where most of the market growth in 2027 will sit, in our view, because the small and mid-sized buyers still running purchasing on email and spreadsheets are the ones with the most to gain from a modest, well-configured platform. Our procurement KPIs guide shows which measures to set before you buy so you can tell whether it worked.
What these five trends add up to
Read side by side, the studies describe one pressure from several directions. Teams are asked to do more with fewer people, under more supply risk, with AI that arrives before the operating model is ready, and with a finance chief who now reads their reports. None of the research says procurement is failing. It says procurement is being asked to change faster than its processes can.
| Trend | Strongest evidence | What it means for a 2027 plan |
|---|---|---|
| AI moves from pilot to plan | 43% pursuing, 12% at large scale, 36% of CPOs very confident | Fund one process change per tool, not a general AI budget |
| Workload up, capacity flat | 8% workload rise projected, 57% cite silos | Automate transactional work first, fix handoffs before dashboards |
| Resilience gets a budget | 82% affected by tariffs, 39% dual sourcing | Cost a second source for your top 20 suppliers |
| Visibility stops at tier one | 95% tier one, 42% tier two or beyond | Map the sub-suppliers behind your single-source parts |
| ESG data becomes a deliverable | 98% embedding ESG data, 30% of suppliers give no carbon data | Decide now what supplier data you will require and score |
| Closer to the finance chief | Two thirds report to CEO or CFO | Report in money, not in activity counts |
What we would do before the 2027 budget locks
This is the part where we stop reporting and start giving an opinion. You are free to disagree with it.
- Pick the one process that hurts most and measure it today. Approval cycle time, purchase order cycle time or the share of spend that bypasses the system. Without a before number, you cannot show an after number to the CFO.
- Ask your existing platform vendor what AI is already included. The Hackett finding that 69 percent of buyers meet AI through their current platform suggests many are paying for features they have not switched on.
- Cost one backup source for your top suppliers. You do not need to buy from the second supplier. You need a qualified name, a price range and a lead time, so a disruption becomes a phone call instead of a search.
- Draw your supplier chain two layers down for the parts you cannot do without. Start with five parts, not five hundred.
- Decide what supplier data you will require, and put it in the contract template. Carbon data, certifications and sub-supplier disclosure are easier to ask for at renewal than in the middle of an incident.
- Write the plan in finance language. Cash released, cost avoided, risk reduced. The reporting line data suggests your reader is a CFO.
If tooling is part of that plan, our AI procurement software category and spend analysis guide are the two places we would send a colleague first.
Get the 2027 Procurement Planning Workbook
Five worksheets that turn this research into a plan you can take to finance. Free, with a PDF to print and an Excel version with the calculations built in.
- A baseline sheet so you can prove results later
- A pilot check to run before you fund any AI tool
- Backup supplier costing and a tier-two map
- A budget case template in cash released, cost avoided and risk reduced
- Supplier data requirements to add at your next renewals
What this research cannot tell you
We would be giving you the same unsourced confidence we criticised at the top if we skipped this part. Surveys of CPOs and supply chain leaders over-represent large, well-resourced organizations, and McKinsey's own tariff survey covers 100 companies. Several of these studies were produced or sponsored by firms that sell advisory services or software, which is not a reason to dismiss them, but it is a reason to read the recommendations separately from the counts.
The AI figures also move quickly. A statistic about AI adoption is probably out of date within a year. We will review this page when new editions of the Gartner, Deloitte, Hackett and EcoVadis studies appear, and note changes at the top. If you spot a figure that does not match its source, write to us through the contact page and we will check it and correct the page.
How to cite and reuse this report
You are welcome to quote any figure on this page. Please credit the original publisher named beside the figure, because they did the research. If you want to point readers to our compilation, link to this page and describe it as "Procurement VMS, Procurement trends and statistics for 2027, a reading of published research". The sources table above gives you the original links to check each number yourself. Each chart has an embed option that carries the credit with it, and the free data sheet holds every figure in one file.
Frequently asked questions
What are the biggest procurement trends for 2027?
Based on the Gartner, Deloitte, Hackett, McKinsey and EcoVadis research we reviewed, five stand out: AI moving from pilot to planned deployment, rising workloads with flat or shrinking teams, tariff-driven resilience spending, limited visibility beyond tier-one suppliers, and ESG data becoming a procurement deliverable. Each is backed by a named study, with the figures shown above.
How many procurement organizations use AI?
The Hackett Group found 43 percent of organizations are actively pursuing AI deployment in procurement, nearly double the previous year, and 12 percent report large-scale implementation. McKinsey reports that 40 percent of procurement functions have begun using generative AI. The numbers differ because the studies ask different questions of different groups.
Are CPOs confident about redesigning procurement for AI?
Not yet. A Gartner survey of 101 chief procurement officers, fielded in January and February 2026, found that only 36 percent were very confident in their ability to redesign roles and processes around AI. Gartner also describes an AI productivity paradox, where individual gains decline significantly at team level.
How are tariffs changing procurement strategy?
McKinsey's 2025 supply chain risk pulse found that 82 percent of 100 surveyed companies said new tariffs affect their supply chains. Among those affected, 45 percent are increasing inventories, 39 percent are pursuing dual sourcing and 33 percent are developing nearshoring or onshoring plans. Fewer than 7 percent introduced countermeasures purely for tariffs.
What percentage of buyers can see beyond tier-one suppliers?
In McKinsey's 2025 survey, 95 percent had visibility into tier-one supplier risks but only 42 percent extended that visibility to tier two or beyond. About 58 percent had mapped tier-two suppliers, and fewer than half of those had regular direct contact with them.
How much do leading procurement teams spend on technology?
Deloitte's 2025 Global CPO Survey, covering more than 250 CPOs in 40 countries, found that its top-quartile "Digital Masters" allocate up to 24 percent of procurement budgets to technology and project 26 percent for the next fiscal year. They report an average 3.2 times return on generative AI.
Can I use these statistics in my own report?
Yes. Credit the original publisher shown beside each figure, check the figure against the source link, and note the sample size and year. Link to this page if you want to reference our compilation.
Where to read next
- Procurement KPIs that matterSet the before numbers so you can prove results
- Vendor risk management guideTier suppliers by what a stoppage would cost you
- What is spend analysisThe first step toward seeing where money goes
- AI procurement softwareProducts compared on review evidence
- Maverick spend explainedWhat happens when buying bypasses the process