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The Rise of Monetization Operations

Tiffany McCormick — Mon, 28 Sep 2026 04:00:00 GMT

This IDC Market Perspective defines monetization operations (MonOps) as the cross-functional discipline organizations need to design, execute, and optimize monetization strategy and argues that pricing, not finance or engineering, should lead it. IDC’s research finds that most technology suppliers price by committee or through underpowered pricing teams, a gap that finance, engineering, and top-down leadership mandates are filling by default as forecasting pressure and agentic AI cost accountability intensify. This document unpacks MonOps across four pillars — organizational structure, required capabilities, critical processes, and enabling technology stack — and makes the case that visibility into a monetization problem and speed of reaction to cost are not substitutes for the commercial judgment pricing is built to provide.

“Every function in the organization can see when monetization is broken. That does not mean every function is equipped to fix it. Pricing has been under-resourced for exactly the decisions that now matter most, and closing this gap is the work in front of monetization leaders in 2026.” — Tiffany McCormick, senior research director, AI Monetization, Pricing Strategies, and Business Models at IDC

Adaptive Monetization: The Next Frontier of Commercial Flexibility and Control

Christopher Silberberg, Tiffany McCormick — Thu, 03 Sep 2026 04:00:00 GMT

This IDC Market Note defines adaptive monetization systems, a category of monetization capability built to respond to the cost, output, and value volatility that AI-embedded products introduce. It maps the components of a modern monetization stack — pricing and catalog, usage capture, rating, charging and credit control, and billing — against the demands of real-time, usage-responsive commercial models, and gives suppliers and buyers a framework for judging where adaptive capabilities are needed versus where they add unnecessary complexity.

“When cost, output, and value are all moving at once, you cannot fix monetization by patching one component of price, charge, or bill. You need systems built to adapt across all of them before and during consumption, not after,” said Chris Silberberg, research manager, IDC.

Pivot Table: IDC's Worldwide IT Leasing and Financing Forecast, 2026–2030

Lara Greden — Thu, 13 Aug 2026 04:00:00 GMT

This IDC Pivot Table forecasts the worldwide IT leasing and financing market for 2026–2030. The Pivot Table segments IT leasing and financing revenue by country, region, technology category, and GPU accelerator for servers. It accompanies Market Forecast: Worldwide IT Leasing and Financing Forecast, 2026–2030 (IDC #US54095026, August 2026).

IDC Survey: Telco Buyer View on Agentic AI Pricing, 1H26

Chris Silberberg — Wed, 12 Aug 2026 04:00:00 GMT

This IDC Survey examines telecom operators' attitudes toward agentic AI pricing, procurement, and governance as these capabilities and buyer behaviors continue to mature. The results indicate a market still resolving how to prove agentic AI's value and where confidence in evaluating vendor pricing has not yet been tested against a settled pricing standard for AI agents.

IDC Survey Spotlight: Does Fixed Price Still Dominate Buyer Preference for Consulting Engagements?

Bill Latshaw — Wed, 15 Jul 2026 04:00:00 GMT

This IDC Survey Spotlight is based on data from IDC’s March 2026 Buyer Perception of Business Consulting Providers Survey (n = 656). Buyers were asked for their preferred pricing model for contracting business consulting services. Fixed price dominated at 62.2%, time and materials followed at 28.5%, and outcome-based pricing stayed niche at 9.1%, with a remaining 0.2% choosing other models. The message for traditional consulting is clear. Buyers value predictability and want delivery risk sitting with the provider, not on their own budget.

The picture changes sharply once AI enters delivery. In AI’s Impact on Pricing Models for Business Consulting Services Buyers — Detailed Perspective Version (IDC #US54540426, May 2026), buyers of AI-enabled business consulting (n = 161) spread their preferences almost evenly across four models: fixed price at 27%, time and materials at 25%, pay per use or metered at 24%, and outcome based at 23%. Outcome-based preference is roughly 2.5 times higher than in the traditional consulting survey. AI does more than nudge buyers toward outcomes. It fragments the pricing landscape and removes the comfortable dominance of fixed price.

This IDC Survey Spotlight focuses on business consulting services buyers exclusively. Data includes AI-related business consulting services but is meant as a counterpoint to AI’s Impact on Pricing Models for Business Consulting Services Buyers — Detailed Perspective Version (IDC #US54540426, May 2026).

Omnea Advances Spend Orchestration with MCP Integration and Tropic Price Intelligence Partnership

Patrick Reymann — Tue, 07 Jul 2026 04:00:00 GMT

Omnea, a London-based provider of procurement orchestration and third-party risk management (TPRM) software, made two notable product announcements in June 2026. The company launched a Model Context Protocol (MCP) server that connects its procurement data to leading AI assistants and announced a partnership with Tropic to embed real-time SaaS price intelligence directly into procurement workflows. Taken together, these moves signal Omnea's intent to position its platform as an agentic operating layer for enterprise procurement.

Configure Price Quote Applications Banner Book: CX Path 2026

Tue, 30 Jun 2026 04:00:00 GMT

This IDC Pivot Table banner book provides the data set for the configure price quote (CPQ) applications category of IDC’s 2026 CX Path program.

The CX Path program includes a total of 14 application categories: advertising, marketing, sales, digital commerce, configure price quote, product information management/product experience management (PIM/PXM), contact center and customer service, voice of the customer (VOC), customer experience (CX) orchestration, content and experience management, customer data platforms (CDPs), customer and digital experience analytics, aftermarket service life-cycle management, and price optimization applications.

Coverage includes application adoption, deployment models, budget plans and replacement cycle timing, purchasing preferences and attitudes toward CX SaaS buying channels, packaging and pricing options, and generative AI and agentic AI adoption and use for CX use cases. In addition, the program provides in-depth vendor reviews, vendor ratings, spend, and advocacy scores for all 14 application markets.

Price Optimization Applications Banner Book: CX Path 2026

Nadia Ballard, Douglas Hayward, Tiffany McCormick, Eric Newmark, Aly Pinder — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Pivot Table banner book provides the data set for the price optimization applications category of IDC’s 2026 CX Path program.

The CX Path program includes a total of 14 application categories: advertising, marketing, sales, digital commerce, configure price quote (CPQ), product information management/product experience management (PIM/PXM), contact center and customer service, voice of the customer (VOC), customer experience (CX) orchestration, content and experience management, customer data platforms (CDPs), customer and digital experience analytics, aftermarket service life-cycle management, and price optimization applications.

Google Says AEO and GEO Are Still Just SEO: Practical Advice on How to Overcome Discovery FUD

Roger Beharry Lall, Heather Hershey, Tiffany McCormick — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Perspective talks about Google’s May 2026 guidance, which dismisses much of the GEO and AEO consulting market. Here’s how to navigate the noise, protect your budget, and prepare your team for what’s actually coming. This document equips technology buyers with the practical actions needed to navigate the SEO landscape of today with confidence and without overcommitting to a single tech vendor’s playbook.

According to Heather Hershey, research director at IDC, “Digital commerce and marketing practitioners are frantically attempting to build a new foundation on quicksand during an earthquake. Separate signal from noise, trim the fat and refine the foundations of your SEO essentials and, above all, keep testing! At this stage, anyone who says they know everything about this topic is a charlatan; even the LLM providers themselves seem to be making things up as they go.”

IDC ProductScape: Worldwide Retail Price Optimization and Management Solutions, 2025–2026

Ananda Chakravarty — Fri, 12 Jun 2026 04:00:00 GMT

The IDC ProductScape offers a comprehensive guide on the key functionalities of worldwide retail price optimization and management solutions, featuring products from Blue Yonder, Centric Software, Clear Demand, Competera, Daisy Intelligence, DemandTec, dunnhumby, Engage3, First Insight, Impact Analytics, Intelligence Node, McKinsey, Mi9 Retail, o9 Solutions, Oracle, RELEX, Revionics, SymphonyAI Retail, TCS, and Zebra. The status of each functionality is categorized as fully supported, partially supported, partner provided, road map, or not supported, aiding technology purchasers in quickly identifying which vendors align with their changing requirements. The document serves as a tandem document to IDC MarketScape: Worldwide Retail Price Optimization Solutions 2025–2026 Vendor Assessment (IDC #US52989825, December 2025).