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IDC MarketScape: Worldwide Augmented Identity Security Solutions 2026 Vendor Assessment

Emanuel Figueroa — Tue, 10 Nov 2026 05:00:00 GMT

This IDC MarketScape evaluates vendors of augmented identity security solutions (AISS), software that acts on identity risk while access is in use, not only when it is granted. Vendors were assessed against five pillars (identity coverage, continuous risk scoring, automated enforcement, bidirectional interoperability, and observability and delegation governance) using capabilities generally available on August 14, 2026. The assessment reflects a market where AI agents have moved identity from deciding who has access to governing what happens next. No single platform covers every customer's needs, and platforms and specialists now aim at the same target: to discover, control, and act on the risk AI agents pose. This document discusses each vendor's strengths and challenges and gives buyers guidance on visibility, ownership, enforcement evidence, pricing, and piloting.

"Identity has been practiced for decades, and enforcement was largely implied: Control was assumed, and remediation was someone else's job. Agents change the arithmetic. They are far more numerous and far less predictable than people or service accounts, so the asymmetry is volume: Actions arrive in seconds, and discovery still runs in weeks. Judge vendors by what they fix, not only what they find," said Emanuel Figueroa, senior research analyst, Identity Security, Worldwide, IDC.

IBM TechXchange 2026: Governing Agents at Scale

Jim Mercer, Matthew Flug — Mon, 09 Nov 2026 05:00:00 GMT

IBM used TechXchange 2026 in Atlanta, the first held alongside HashiConf, to argue that the primary enterprise challenge in the agentic era has shifted from building agents to scaling and governing them. Announcements spanned agent identity, a cross-platform watsonx Orchestrate control plane, Terraform and Vault for agentic infrastructure, the Concert operations platform, Bob 2.0, and Z Atlas. IBM says only 25% of today's agents are enterprise-ready, and its answer to scalability is a layered stack of identity, context, orchestration, and operations.

IDC MarketScape: Worldwide AI Agents for IT Service Management Software 2026–2027 Vendor Assessment

Snow Tempest — Mon, 09 Nov 2026 05:00:00 GMT

This IDC study presents a vendor assessment of the worldwide market for AI agents for IT service management software through the IDC MarketScape model.

"AI agents for IT service management are an emerging market, for which customer demands include not only agent capabilities but security, governance and accurate organizational and technical context," said Snow Tempest, research manager, IT Service Management at IDC.

IDC MarketScape: Worldwide Digital Service Providers for Large Capital Projects in Energy and Water 2026 Vendor Assessment

Gaia Gallotti, Jean-François Segalotto, Gaurav Verma — Mon, 09 Nov 2026 05:00:00 GMT

This IDC study evaluates digital service providers supporting large capital projects in energy and water worldwide. It analyzes vendors’ capabilities, strategies, and positioning in a market undergoing structural transformation as owners face a capital investment cycle that outstrips the capacity of traditional, project-by-project delivery models and move toward governing capital programs as connected portfolios. The report provides energy and water companies with a structured framework to assess service providers across capital portfolio planning, project controls, engineering data and digital thread, construction and commissioning digitalization, IT/OT integration, advanced analytics, AI, and digital twins, and platform implementation and managed services.

“The volume of capital that energy and water owners must now deploy is so vast that the operating model behind large capital projects for the past several decades is simply no longer viable, and no amount of incremental effort will make delivering one program at a time scale to the size of this investment cycle. Owners need service providers capable of restructuring how capital is governed, funded, and executed across the entire portfolio, with shared data, standardized delivery patterns, and AI proven in production, because the old way of delivering large capital projects will not survive the demands now being placed on it.” — Research Director Gaia Gallotti, IDC Energy Insights

IDC TechBrief: World Models

Dan Everett — Mon, 09 Nov 2026 05:00:00 GMT

This IDC TechBrief defines world models, explains how they are being used, and recommends how buyers should evaluate models and suppliers. World models help buyers train AI on a wider range of scenarios, cut simulation cost, and reduce the need for human intervention in autonomous systems. Technology leaders should invest in use cases, not architecture, and guard against the risk that matters most: a simulation that looks realistic but gets the physics wrong.

"Wait on world models, and you risk falling behind. Overinvest before the technology is proven, and you risk compliance gaps and legal liability. Buyers with a clear view of the market that invest strategically in use cases and build expertise and adaptability through learning will be the ones that realize business value." — Dan Everett, research director, Spatial Intelligence and World Models at IDC

Sprinklr's Platform Push at CXUnifiers 2026 Rests on Social Data and Customer Context

Roger Beharry Lall, Tapan Patel, Hayley Sutherland — Mon, 09 Nov 2026 05:00:00 GMT

AI and Agentic-Enabled Managed Services: Pricing and Penalties

David Tapper — Fri, 06 Nov 2026 05:00:00 GMT

This IDC Perspective discusses different pricing models that organizations prefer when procuring managed services using AI and agentic AI. The document also analyzes an array of market and industry factors influencing the optimal portfolio of pricing models that managed services providers (SPs) should target against the backdrop of types of operating models for AI. Factors assessed involve structuring defensible contracts, driving scalability of comparable outcomes, orchestrating external systems, adapting to changing inputs, adjusting to exogenous triggers, controlling cost structure and operating leverage, and managing financial downside.

"Effective use of outcome-based pricing for managed services using AI and agentic AI requires managed SPs to address a wide array of exogenous and endogenous factors shaping the risks associated with each type of pricing model, particularly outcome-based pricing," says David Tapper, program VP, Outsourcing and Managed Cloud Services at IDC. "Critical investments that managed SPs need to pursue involve building a robust governance structure, aligning use of pricing models across operating models, using portfolio risk management for pricing models, implementing repricing structure as a means of adapting to change, investing in an autonomous operations platform to assess pricing impacts, developing a road map to scale outcomes, structuring pricing arrangements with partner ecosystem, and architecting AI-enabled managed services based on risk to overall business."

Case Study: How a Cement Production Company Deployed Robotics to Reduce Maintenance Costs

Ramon T. Llamas — Fri, 06 Nov 2026 05:00:00 GMT

This IDC Perspective presents a case study for robot deployment on a factory floor. Swiss company Vigier looked to ANYbotics for a robot that could autonomously inspect and independently navigate its way around the factory and collect critical maintenance information from its machines. The data would then inform the team which areas to prioritize and monitor. This provided the team with consistent and reliable data while allowing maintenance personnel to focus on other projects instead of walking the factory floor. Vigier estimated that it has saved hundreds of thousands of euros by deploying ANYbotics' robot and plans to expand to other parts of its factory.

"This case study presents the immediate impact that robotics can have on the frontlines of a business, particularly when it comes to asset inspection," says Ramon T. Llamas, research director, IDC's Robotics Program. He adds, "By carefully outlining the business case, costs associated with it, and data needed to make informed decisions, a robot could routinely and safely collect all the necessary information for a company to examine and trend. From there, its software platform can analyze what the data is saying and schedule maintenance. This case study is what Vigier wanted and how ANYbotics was able to deliver. It concludes with advice for the technology buyers interested in deploying robots for autonomous inspections."

IDC MarketScape: Worldwide Container Data and Infrastructure Management Software 2026 Vendor Assessment

Johnny Yu — Fri, 06 Nov 2026 05:00:00 GMT

This IDC study is an evaluation of prominent container data and infrastructure management software vendors on a worldwide basis. While it offers details on each vendor's capabilities and offerings, it is not meant to be a buyer's guide. Instead, this evaluation is intended to help IT leaders differentiate between vendor solutions and narrow down candidates that align with their stage of Kubernetes adoption, level of Kubernetes expertise, agentic AI workload deployment, and long-term goals of their application infrastructure.

"Many organizations are accelerating their agentic AI deployment, which is also driving them toward container and Kubernetes infrastructure," said Johnny Yu, research manager, Infrastructure Software Platforms at IDC. "The result is greater demand for container data and infrastructure management software to not only protect Kubernetes application data but also bring in elements of AI data governance and control."

IDC MaturityScape Benchmark: AI-Fueled Financial Services Organization Worldwide, 2026

Dr. Chris Marshall, Jerry Silva, Nigel Wallis, Claudia Medina — Fri, 06 Nov 2026 05:00:00 GMT

This IDC MaturityScape Benchmark presents results from IDC's May 2026 worldwide MaturityScape Benchmark AI Survey, drawing on a financial services subsample of 178 institutions out of 1,900 organizations surveyed.

"Financial services institutions have long led on AI in fraud and risk management, and that head start shows up clearly in governance, the most mature of the four dimensions we measured this year," said Jerry Silva, program vice president, IDC Financial Insights. "But leadership in governance is not the same as leadership everywhere; technology remains the industry's weakest link, and as agentic AI moves from pilots into production, institutions that have not modernized their data and platform foundations will find that governance maturity alone cannot carry the transformation."