rsspricingandvaluation

AI Budgeting, Planning, and Governance: The Discipline Gap — IDC's 2026 Market View — AI Spend Is Scaling Faster than the Processes Built to Control It

Heather Herbst — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Tech Leader Presentation draws results from IDC's August 2026 AI Economics and Cost of Ownership Survey. AI spend is scaling faster than the discipline built to manage it. Based on IDC's August 2026 survey of 1,184 organizations, this document examines where these gaps sit across budgeting, planning, and governance and offers technology leaders guidance on closing them first.

Organizations have gotten good at setting spend caps, but governance hasn't kept pace with the speed at which AI budgets are growing. That gap is where most of the risk sits right now, says Heather Herbst, research director, IDC's CFO Buyer Insights.

AI Sourcing Controls and Pricing Terms Decide Who Keeps Leverage — Three Sourcing Considerations for Tech Leaders: What You Buy, How You Manage Providers, and What You Commit to

Tiffany McCormick — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Tech Leader Presentation describes three sourcing considerations for tech leaders: what you buy, how you manage providers, and what you commit to. AI sourcing is no longer a onetime contract, and buyers keep leverage by pairing the controls that protect the bill with the pricing terms that protect the rate. Drawing on IDC's August 2026 AI Economics and Cost of Ownership Survey (n = 1,184) and its Effective Agent Cost Management framework, this document describes three sourcing considerations for technology leaders. First, buyers should know what they are buying. Most AI arrives inside software they already own, and buyers choose providers on security and quality before exit terms. Second, buyers should manage providers as a portfolio. Third, buyers should know what they are committing to. Mature buyers commit for longer, and most expect cost per task to rise, so a longer commitment is a bet on the rate. The terms that lock the rate, the model, and the renewal therefore matter more than the discount. Sourcing leverage is built at selection, kept in operation, and spent at renewal.

"AI sourcing is no longer a contract signed once. Buyers keep leverage when they pair the controls that protect the bill with the pricing terms that protect the rate and when they clarify what kind of predictability a vendor is offering," says Tiffany McCormick, senior research director, AI Monetization, Pricing Strategies, and Business Models.

IDC Survey Spotlight: How Long Are Organizations Committing to AI Vendors?

Kelly Brown — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Survey Spotlight examines AI vendor contract terms using findings from IDC's August 2026 AI Economics and Cost of Ownership Survey. It considers the prevalence of commitments lasting a year or less and the financial trade-offs associated with multiyear discounts. The analysis explores how actual usage and spending should inform longer contractual commitments.

"A multiyear discount can become expensive if the business commits to more AI than it uses. Buyers should base longer agreements on established spending patterns and test whether the discount still saves money if rollout slows or demand falls," says Kelly Brown, research manager, AI Economics at IDC.

Managing Risk when Financing IT Assets Given AI Demand's Reshaping of Hardware Markets

Lara Greden — Fri, 30 Oct 2026 04:00:00 GMT

This IDC Perspective helps technology leaders and procurement professionals negotiate IT asset financing in a market where AI demand is making residual values and refresh timing less predictable, with guidance on pricing each asset class separately and maximizing flexibility in lease terms.

"With AI reshaping hardware supply and pricing, fair market value of used assets now varies distinctly by asset class," said Lara Greden, senior research director, Infrastructure Services, IDC. "Technology leaders who price each asset class on its own and use leasing contracts to build in flexibility will be better positioned to manage cost and risk as market conditions change."

The AI Vendor Reckoning: IDC’s 2026 View — Buyers Have Already Graded You on Pricing, Deprecation, and Cost Governance

Heather Herbst — Thu, 29 Oct 2026 04:00:00 GMT

This IDC Market Presentation draws on the AI Economics and Cost of Ownership Survey to show that AI buyers have already formed clear opinions about how vendors handle pricing, deprecation, and cost governance, and that most vendors are not yet delivering what buyers say they want. Buyers value long-term price stability and protection from repricing and model deprecation more than the novel usage-based metering that vendors keep introducing. Although two leading providers have a clear edge in production deployments, challengers that solve cost predictability and make multivendor adoption easy still have room to win.

“Buyers have already formed a view of how vendors handle pricing, deprecation, and cost governance. Vendors that act on it now will win more deals and renewals next year,” said Heather Herbst, research director, IDC’s CFO Buyer Insights.

IDC Survey Spotlight: For PC Procurement, How Are Concerns about the Memory Shortage Impacting Demand for Flexible Financing?

Lara Greden — Mon, 26 Oct 2026 04:00:00 GMT

This IDC Survey Spotlight explores the extent of tech leader concerns about the memory shortage and how it impacts demand for flexible financing and service models. Understanding customer concerns regarding the memory shortage is important for qualifying opportunities: those who are concerned show significantly higher demand for flexible procurement options to address pricing and supply risks.

IBM Consulting Advantage Commercial Model: IBM Prices Platform, Consumption, and Assets Separately from Labor

Linus Lai — Sun, 18 Oct 2026 04:00:00 GMT

IBM Consulting has put forward one of the most complete pricing models IDC has seen for AI-delivered consulting work, at a time when hours are becoming a poor measure of the value clients receive. In an October 5, 2026, briefing, IBM Consulting set out a commercial model for IBM Consulting Advantage (ICA) that pairs a platform subscription with metered AI consumption and gives reusable assets their own place in the price, separate from labor. The model builds on the asset-led, outcome-oriented direction IBM described at its May 2026 Analyst and Advisor Summit, and it responds to IDC's advice at the time that IBM make the economics of platform-supported delivery explicit. IDC's buyer research suggests the market is ready. In IDC's 2026 Enterprise Perceptions of Services as a Product Survey, 48% of productized engagements already run hybrid commercial models, and only 18% of buyers still evaluating would choose time and materials. IDC expects the major global systems integrators to follow with consumption-linked platform pricing of their own, building on the AI-linked rate cards and outcome-based commercials several have already introduced, within the next 12–18 months, and expects metering transparency to become the next point of competition.

IDC Survey: Agentic AI Pricing in Asia/Pacific

Shivangi Gupta, Souganth Manjhiparambil — Wed, 14 Oct 2026 04:00:00 GMT

This IDC Survey examines how Asia/Pacific organizations price and justify spending on agentic AI, based on IDC’s May 2026 Future Enterprise Resiliency and Spending Survey Wave 3.

No charging model for AI agents has yet become standard, so buyers judge each vendor’s value case on its own terms rather than against a market rate. Willingness to pay is not the constraint; most organizations will accept a premium conditional on demonstrated ROI, but billing integration and governance gaps are what stall deals. The survey maps how these dynamics differ by market, giving providers a read on where the friction sits and buyers a basis for negotiating.

IDC Market Glance: Artificial Intelligence Cost Management, 4Q26

Heather Herbst, Jevin Jensen, Tim Law — Fri, 09 Oct 2026 04:00:00 GMT

The IDC Market Glance is a taxonomy document intended to visually depict a concise current-state view of the artificial intelligence cost management market. It includes vendors involved in four vendor categories, including AI cost planning and budgeting, sourcing, implementation, and operations.

It also includes subcategories of vendors that offer token consumption and model solutions, TCO forecasting, AI cost accounting and P&L governance, budget controls/spending limits/governance enforcement, model portfolio management, model routing and matching, prompt and context optimization, cost-aware agent orchestration, cost observability and telemetry, cost anomaly detection and alerting, cost attribution, value/ROI/outcome analytics, and model version management and benchmarking.

From SaaS Seats to Coworker Outcomes: New Metrics and Pricing Models for Automated Marketing

Gerry Murray, Tiffany McCormick, Roger Beharry Lall, Tapan Patel — Tue, 06 Oct 2026 04:00:00 GMT

Synopsis

This IDC Perspective examines how agentic AI coworkers are displacing seats, sessions, and feature adoption as measures of marketing software value. It introduces a five-metric framework for Coworker Performance, Intent-to-Outcome Rate, Time to Outcome, Human Touches per Outcome, Outcome Quality, and Cost per Completed Outcome, paired with SaaS Activation per Outcome to track underlying application usage. The document surveys how Adobe, Salesforce, HubSpot, Klaviyo, Braze, and ActiveCampaign are pricing agentic AI differently, and sets out the definitions, trust, and margin questions vendors must answer to make outcome-based pricing durable.

"Every vendor claims their agent produces outcomes, but almost none can tell a customer what an outcome is, who verifies it, or what happens when the two sides disagree," says Gerry Murray, research director, Enterprise Marketing Apps and Agents, IDC. "The vendors who win the next pricing cycle will be the ones who can prove completed work, not just consumed tokens, and who can hold their margin when outcome volume swings."