Here is a scene that plays out in enterprises all over the world, every single quarter. A budget reconciliation lands on Finance’s desk. The contingent workforce spend line is off, again. Not dramatically, but enough to require an explanation that nobody has a clean answer to. The MSP did its job. The suppliers filled the roles. The program technically ran.
So where did the variance come from?
From a workforce that was never actually planned. Just responded to.
That is the core problem with how many organizations still manage contingent labor in 2026. The challenge is not supplier performance or technology capability. It is that a workforce which now represents a significant share of total labor capacity is still managed through processes designed for a much smaller, more transactional program. Contingent hiring remains reactive when it should be planned, strategic when it should be integrated, and increasingly disconnected from the workforce forecasts driving broader business decisions.
AMS research estimates that approximately 38% of the US workforce is already contingent, with projections putting that figure at 50% by 2035. The global contingent workforce management market was valued at $10.2 billion in 2025 and is expected to reach $25.6 billion by 2034. At that scale, reacting is not a strategy. It is just a slower way of losing control.
What makes it hard to forecast demand for contingent workforce solutions
It would be convenient if this were a technology problem. Buy the right platform, connect the right systems, and the forecast appears. It is not that simple.
Contingent workforce demand is structurally harder to predict than permanent headcount because it does not follow a clean approval chain. Permanent hiring is sequential: role approved, job posted, offer made. Contingent demand is driven by project timelines that shift, SOW renewals that get decided late, seasonal surges that were flagged in a meeting and then forgotten, and hiring managers who genuinely do not know what they will need in 90 days because their business line does not know either.
The data problem makes it worse. AIHR research based on Indeed Flex findings puts the number plainly: 75% of HR leaders struggle with cost visibility for their contingent workforce, and 70% lack workforce oversight because of legacy systems. Think about what that means in practice. Three quarters of the people responsible for managing this workforce cannot see it clearly. And the data that would help them is split across a VMS, an HRIS, a procurement system, and a set of spreadsheets that someone’s coordinator maintains.
Worker classification adds another layer that most forecasting conversations skip entirely. The engagement model that works in one market may be legally off-limits in another. Any forecast worth trusting has to carry a classification assumption for each active geography, which is work that most programs have never formalized.
The organizations that forecast contingent demand accurately are not running more sophisticated models. They have better data discipline. That distinction matters because it changes where the investment needs to go.
Read also: How AMS approaches contingent workforce program design
Why global firms struggle to control contingent workforce costs
Here is the version of events that Finance usually hears: the market got more expensive, suppliers pushed rates up, there was an urgent project that required premium talent. All of that may be true. None of it is usually the real reason costs ran over plan.
The real reason is almost always structural. Atrium’s analysis of contingent workforce finance priorities for 2026 identifies it precisely: without visibility into assignment durations, upcoming project needs, or total headcount, forecasts lack the precision needed to prevent overruns. By the time Finance sees the variance, the spend has already happened. The conversation becomes retrospective, and the corrective action lands in next quarter’s plan rather than this quarter’s spend.
Three things consistently drive this in global organizations.
The first is decentralized procurement without anyone actually watching the whole picture. Different business units engage suppliers on their own terms, often with little visibility into how rates compare across the broader program. Without centralized oversight, organizations miss opportunities to benchmark suppliers consistently and identify situations where multiple teams are paying different rates for the same category of talent.
The second is spend that never enters the managed program at all. When the MSP or VMS channel feels too slow or too rigid, hiring managers go around it. That spending is invisible until an invoice arrives. It never makes it into the forecast.
The third is the cost layer that global programs frequently underestimate: compliance. Employer-of-record fees, local tax obligations, mandatory benefits, and worker classification requirements vary significantly across markets. A rate card built on global averages is not a cost model. It is an optimistic assumption waiting to be corrected.
How contingent workforce solutions affect talent analytics in large enterprises
The most common version of talent analytics in a large enterprise is two separate systems that do not talk to each other:
- Permanent workforce data sits in the HRIS.
- Contingent workforce data sits in the VMS.
Both produce reports. Neither produces a complete picture.
That separation has real consequences. Staffing Industry Analysts estimates total contingent spend in the US at $1.1 to $1.3 trillion annually. For individual enterprises, contingent labor often represents a material and chronically underreported share of total labor cost. When those who spend their lives in a separate system from permanent compensation, the CFO is making decisions about total workforce cost with an incomplete dataset. The board is looking at a number that leaves out a significant part of the actual figure.
When contingent workforce solutions are properly integrated with permanent workforce data, a few things shift, like:
- Finance gains a fully loaded cost picture.
- Procurement gains supplier performance data that is benchmarked against actual outcomes rather than self-reported metrics.
- HR gains visibility into skills coverage across the total workforce, not just the permanent headcount.
The predictive layer matters too. Research on AI-driven workforce platforms suggests that when sufficient historical data is available, these tools can forecast workforce needs with up to 85% accuracy. That number is achievable. It requires the integrated data foundation to operate against, which most enterprises are still building.
The barrier is rarely capability. The tools exist. What has not happened yet in most programs is the organizational decision to connect the systems, normalize the data, and govern the output with the same rigor applied to financial reporting.
Read also: How workforce analytics improve contingent workforce program outcomes
Which contingent workforce solutions work best for mid-market multinational companies
Mid-market multinationals are in a genuinely awkward position. The geographic complexity of their contingent programs is enterprise-level: multiple regulatory jurisdictions, multi-currency spend, and classification rules that vary by market. The internal resources available to manage that complexity are not.
They cannot staff a dedicated workforce analytics function. They do not have the supplier panel negotiating leverage of a Fortune 500 program. They often have one person, maybe two, running the CWS function alongside other responsibilities.
The solutions that actually work for this segment share three qualities.
- They consolidate visibility across all contingent channels so that one person can see the full picture without pulling from five different systems.
- They manage compliance as a service rather than handing the internal team a framework and expecting them to operationalize it across six markets.
- And they are scoped and costed in proportion to the program, not priced for enterprise scale and then discounted.
For most mid-market multinationals, the right starting point is an MSP engagement with integrated VMS technology and employer-of-record capability in the markets where classification complexity is highest. CXC Global’s research on contingent workforce best practices consistently points to EOR infrastructure as the single highest-value compliance investment for multinationals operating in new or complex jurisdictions.
Direct sourcing and total talent management become achievable as the program matures and data quality improves. They are not the right starting point for most mid-market teams.
Read also: How AMS supports mid-market and enterprise contingent workforce programs
Top contingent workforce solutions for complex global staffing
For programs operating across five or more countries with meaningful contingent spend in each, the evaluation differs from that of a domestic program. Rate competitiveness matters, but it is not the first question.
The first question is compliance depth in each active market. Classification rules, EOR requirements, and right-to-work verification are not interchangeable across geographies. A provider with global coverage at the program level may have very thin compliance infrastructure in specific markets. That gap does not show up until there is an audit.
The second is whether the technology produces a consolidated spend view across all markets, currencies, and engagement types in real time. Budget control at global scale is not possible without it. Quarterly reconciliation is not workforce management. It is forensic accounting.
Supplier network depth in specific geographies and role categories is the third variable that gets underweighted. Global coverage is not the same as depth in the markets that actually matter to the program. Fill rates and time-to-fill in those specific locations are the right metrics to interrogate during evaluation.
Everest Group’s Contingent Workforce Management and MSP PEAK Matrix assesses leading providers against these criteria at enterprise scale. AMS holds STAR Performer recognition in that framework, with $2.3 billion in MSP spend under management, $1.1 billion in services procurement spend, and delivery infrastructure across 12 global capability centers. Across all AMS client programs, more than $111 million in annual cost savings have been delivered collectively.
The programs that perform best in complex global environments share something more than technology or supplier scale. They have a governance structure that connects the forecast to the financial plan, a partner accountable for outcomes rather than just process administration, and data that is complete enough actually to support a decision.
What leading contingent workforce programs do differently
The organizations forecasting contingent workforce demand most accurately are not necessarily using more sophisticated technology. They are operating with stronger workforce data, clearer governance, and tighter alignment between workforce planning and business planning.
Three characteristics appear consistently:
- Workforce forecasts are connected to financial planning cycles
- Contingent and permanent workforce data are viewed together
- Accountability for workforce outcomes extends beyond procurement and into business leadership
The result is not perfect forecasting. It is better visibility, faster decision-making, and fewer surprises.
Ready to build a contingent workforce program that actually forecasts demand?
Most programs do not fail because of bad intentions. They fail because the data infrastructure, governance, and sourcing strategy were never designed to work together. Getting that alignment right is where the real gains are: in cost predictability, compliance confidence, and hiring speed that does not depend on who shouts loudest.
AMS has delivered more than $111 million in annual savings across client contingent workforce programs, holds STAR Performer recognition from Everest Group in the Contingent Workforce Management and MSP PEAK Matrix, and operates across 12 global capability centers filling more than 270,000 roles annually. If your program is carrying forecast gaps, visibility issues, or cost surprises that keep recurring, that is the conversation worth having.
Frequently asked questions
Contingent workforce demand is harder to forecast than permanent headcount because it is driven by project pipelines, SOW renewals, seasonal volume swings, and the decisions of individual hiring managers who lack consistent forward visibility. It is also distributed across multiple functions, each of which holds part of the data required to build an accurate forecast. Fragmented systems, off-channel engagement, and worker classification complexity across geographies add further layers of difficulty. The most common single failure point is data: 75% of HR leaders report struggling with cost visibility for their contingent workforce, and 70% lack workforce oversight due to legacy systems.
Global firms struggle to control contingent workforce costs primarily because spend is decentralized across business units and geographies without consolidated governance, a significant proportion of contingent engagement happens outside the managed channel and is invisible to forecasting models, and the compliance cost layer added by multi-jurisdiction hiring is frequently not fully accounted for in rate card assumptions. Without real-time visibility into assignment durations, total headcount, and upcoming project demand, forecasts lack the precision needed to prevent budget overruns.
The contingent workforce solutions that work best for mid-market multinational companies combine enterprise-grade compliance and analytics capability with operational simplicity proportionate to the size of the internal program team. An MSP engagement that includes VMS technology and EOR capability in high-complexity markets is typically the most effective entry point. As the program matures, direct sourcing and total talent management become progressively more achievable. The key selection criteria are consolidated spend visibility, embedded compliance management, and a solution scope and cost model that fits program size rather than requiring enterprise-scale investment.
The top contingent workforce solutions for complex global programs combine multi-jurisdiction compliance infrastructure, real-time global spend visibility, AI-enabled demand forecasting, supplier network depth in the specific markets that matter, and a path toward total talent integration. Leading specialist providers assessed in analyst frameworks such as the Everest Group MSP PEAK Matrix demonstrate these capabilities at enterprise scale with documented outcomes across complex multi-geography programs. AMS is among the providers recognized in this space for multi-country MSP delivery, AI-enabled workforce analytics, and integrated contingent and permanent workforce program management.
