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IDC MarketScape: Worldwide AI-Enabled Manufacturing ERP 2026 Vendor Assessment

Sarah Lee, Mickey North Rizza, Bo Lykkegaard — Thu, 22 Oct 2026 04:00:00 GMT

This IDC study presents the IDC MarketScape assessment for worldwide AI-enabled manufacturing ERP applications, evaluating 16 vendors across strategies and capabilities specific to process and discrete manufacturing. The study finds the market separating into enterprise, midmarket, and SMB segments, with environmental health and safety functionality the widest point of differentiation and evidence quality, shipping and customer validated versus road map or aspirational, as important to assess as the AI capability itself. It discusses the most important criteria for manufacturers to consider when selecting a solution.

"Manufacturers should match the market segment: enterprise, midmarket, or SMB of ERP vendors to the complexity of their plant operations, not simply their company size, or risk paying for breadth they don't need or selecting capabilities that haven't been proven in a comparable environment," said Sarah Lee, global senior research director, Manufacturing IT Strategies, IDC Manufacturing Insights.

Beyond the Meter: How AI-Enabled Energy Management Became a C-Suite Mandate in 2026

Bjoern Stengel — Wed, 21 Oct 2026 04:00:00 GMT

This IDC Perspective examines how AI is reshaping energy management decisions across five enterprise leadership roles — the CIO, the CTO/CAIO, the CSO, the CFO, and the COO — and what each should do next to capture measurable value. Energy efficiency is IDC's fastest-growing AI-for-sustainability priority, with prioritization up 52% in two years, and conversations at Climate Week NYC 2026 confirm the same shift from the vendor side: sustainability value is becoming inseparable from the core AI return-on-investment (ROI) conversation. IDC's 2026 AI and Sustainability Survey finds a 26-percentage-point gap in realized AI value between the least and most mature organizations; that maturity gap, more than budget, separates organizations that capture real financial and sustainability value from those still treating energy management mainly as a compliance and reporting exercise. IDC data indicates that 93% of organizations report deriving some sustainability value from AI and 75% call sustainability important to AI planning and procurement. However, only 45% measure AI's financial and sustainability return in a single joint methodology.

For technology leaders, the practical takeaways are direct: fix the OT/IT data foundation before scaling AI; match the AI architecture to the energy use case rather than defaulting to one modality everywhere; build a single methodology that measures financial and sustainability return together; and assign formal, cross-functional ownership across IT, sustainability, finance, and operations rather than leaving one function to build the business case alone. Done well, AI-enabled energy management helps organizations meet ESG compliance and net-zero commitments while driving cost savings, operational resilience, and infrastructure modernization; the same investment serves both goals rather than forcing a trade-off between them.

"Energy management is where sustainability stops being a reporting exercise and starts being a shared mandate across the C-suite. The organizations pulling ahead have the CIO, the CTO, the CSO, the CFO, and the COO all pointed at the same number, and that alignment matters more than how well resourced any single sustainability team is," said Bjoern Stengel, global sustainability research and practice lead, Sustainable Strategies and Technologies at IDC.

IDC MarketScape: Worldwide Talent Acquisition for Midmarket 2026 Vendor Assessment

Abhinav Shrivastava — Wed, 21 Oct 2026 04:00:00 GMT

This IDC study provides an assessment of talent acquisition vendors catering to midmarket buyers. Midmarket organizations are operating under the same AI-driven structural shift as the enterprise segment, but with far fewer resources to absorb it. Vendors’ capabilities are converging around similar AI and agentic features, but governance maturity varies widely. Pricing transparency, implementation speed, and the depth of available vendor support stand out as decisive factors for buyers. Buyers seeking to engage with a midmarket-focused talent acquisition vendor should confirm AI activation support, along with a governance framework and documentation, before signing a contract.

“Midmarket buyers are looking for a talent acquisition solution that enables their lean teams to strengthen candidate engagement, improve skill-signal quality, and drive overall hiring efficiency,” said Abhinav Shrivastava, senior research manager, Talent Acquisition and Strategy, IDC. “Vendors that help buyers deploy and scale AI for talent acquisition will overtake those that stay focused on building out capability without revisiting activation and value delivery.”

IDC MarketScape: Worldwide Telecom Cloud Service Providers 2026 Vendor Assessment

Peter Chahal, Ahmad Latif Ali, Ajeet Das, Nikhil Batra — Wed, 21 Oct 2026 04:00:00 GMT

This IDC study assesses the capabilities and strategies of network equipment vendors and cloud service providers delivering infrastructure and managed cloud services for telecom network workloads. The evaluation focuses on providers' ability to support key network domains, including radio access networks (RANs), cloud-native 5G core, and operations support systems (OSSs), while meeting the performance, scalability, resilience, security, and latency requirements of carrier-grade environments. Emphasis is placed on support for distributed network architectures across operator datacenters, edge locations, private clouds, and public cloud infrastructure through hybrid and multicloud deployment models.

This IDC study evaluates providers on their current capabilities in cloud infrastructure, automation, orchestration, observability, life-cycle management, and multivendor network support, as well as their strategies for enabling telecom providers' long-term network transformation objectives. The assessment considers each provider's vision, road map, ecosystem partnerships, investments, and execution in helping telecom providers transition toward increasingly software-defined, automated, and cloud-native network architectures.

"The story of this market is not who claims to do the most; it's who can prove they've already done it. Nearly every vendor in this assessment describes the same cloud-native, AI-automated vision for RAN, core, and OSS, but the gap between this vision and the disclosed production evidence is where the real competitive separation lies," said Peter Chahal, research director, Worldwide Telecommunications Services and Strategies at IDC. "Telcos evaluating this space should treat the specificity of a vendor's answer, a named customer, a measured outcome, or a documented region as more predictive of future success than the ambition of its road map. In telecom cloud, evidence is quickly becoming the only currency that matters."

International Manufacturing Technology Show 2026: Manufacturing AI Moves From Potential to Execution

Sarah Lee, Gunjan Bassi — Wed, 21 Oct 2026 04:00:00 GMT

This IDC Perspective provides insights from the International Manufacturing Technology Show (IMTS), which was held on September 14–19, 2026, at McCormick Place in Chicago, United States. It draws on briefings, panel sessions, and booth conversations with technology vendors. It groups the show into four themes: execution and operating model, data and software architecture, physical AI and automation, and workforce. It pairs vendor statements with IDC survey data and offers implications for manufacturers that face a choice between agents embedded in applications and orchestration across systems, a shift from building software to configuring and governing it, and a shop floor in which mobility, measurement, and data come before humanoids.

"The question is no longer about whether AI can do the work but about whether manufacturers can build the conditions for AI to do it well," says Sarah Lee, senior research director, manufacturing IT strategies, IDC. "Manufacturers should view IMTS 2026 as a reminder that execution remains the differentiator," says Gunjan Bassi, worldwide industrial IoT and intelligence strategies lead, IDC. Bassi adds, "Agentic AI, robotics, and industrial software are advancing rapidly, but value will depend on how effectively organizations connect data, govern decisions, and extend these capabilities to the frontline workforce."

Trends in Cloud AI and Machine Learning

Rob Tiffany — Wed, 21 Oct 2026 04:00:00 GMT

This IDC Perspective examines AI and machine learning trends across seven cloud providers: Microsoft Azure, AWS, Google Cloud Platform, Oracle Cloud Infrastructure, Alibaba Cloud, IBM Cloud, and Tencent Cloud. It finds that the market has shifted from model access to agent operations, with every provider now offering a control plane to build, govern, and run agents. Capacity has become the main constraint on growth, custom silicon is reshaping inference economics, multimodel availability has become standard, and sovereign deployment options have matured. The document closes with guidance for technology buyers on agent governance, capacity contracts, inference benchmarking, portability, data context, agent security, and sovereignty.

"The cloud AI race is no longer just about who has the smartest model. It is about who can help you run thousands of agents safely, affordably, and on capacity you can actually get," explains Rob Tiffany, Research Director, Cloud Infrastructure at IDC. "Buyers who lock in governance and capacity on their own terms this year will have far more leverage in 2027 than those who simply follow their incumbent provider."

IDC MarketScape: Worldwide Private Cloud Infrastructure Software Platforms 2026–2027 Vendor Assessment

Shahin Hashim, Phil Goodwin — Tue, 20 Oct 2026 04:00:00 GMT

This IDC study presents a worldwide assessment of private cloud infrastructure software platform providers through the IDC MarketScape model. It evaluates thirteen vendors (Broadcom, Canonical, HPE, IDT System, Mirantis, Nutanix, OpenNebula, Platform9, Red Hat, Sangfor, SUSE, VergeIO, and Virtuozzo) against a structured framework of capability and strategy criteria, drawing on vendor briefings, product documentation, a customer reference survey, and independent IDC research. Private cloud infrastructure software has moved from a stable, mature layer of the datacenter into one of the most actively contested decisions in enterprise IT. Three converging pressures are reshaping it: the disruption of the incumbent virtualization stack, the arrival of AI as an on-premises and increasingly sovereign workload, and a sharpened focus on data sovereignty and cost. The market is now bifurcated between broad full-stack providers and focused challenger platforms, and the historical line between virtualization and container platforms is blurring. This study is intended to help infrastructure and platform engineering leaders match a platform to their own workload profile, migration realities, sovereignty and certification requirements, and multiyear modernization plans, rather than default to a reflexive renewal.

"Private cloud infrastructure software is no longer a settled market. A forced migration away from the dominant incumbent, the pull of on-premises and sovereign AI, and renewed pressure on cost and control have turned the platform choice into a multiyear strategic decision, and buyers are rewarding vendors that deliver on their commitments over those with the longest feature list," says Shahin Hashim, associate research director, Storage and Data Management, Enterprise Infrastructure, IDC.

IDC MarketScape: Worldwide Talent Acquisition for Enterprise 2026 Vendor Assessment

Abhinav Shrivastava — Tue, 20 Oct 2026 04:00:00 GMT

This IDC study provides an assessment of talent acquisition vendors that primarily serve enterprise buyers. The research finds enterprise buyers dividing along a suite versus standalone architecture choice, where vendors embedded in a broader HCM system are weighed against purpose-built recruiting platforms on configurability and integration depth. Agentic AI has become the dominant vocabulary across nearly every profile, though vendor maturity varies widely in governance, auditability, and human oversight. Skills-based matching and candidate fraud detection are emerging as baseline enterprise requirements rather than differentiators. Buyers are advised to weigh platform maturity against their own hiring complexity and to treat AI governance evidence as a deployment prerequisite.

"Talent acquisition has moved from a people function to becoming a strategic revenue activation function for enterprises, and the buyers in the segment do not judge talent acquisition vendors by the count of AI agents or features," said Abhinav Shrivastava, research manager, Talent Acquisition and Strategy, IDC. "The vendors that can help buyers drive hiring and talent placement efficiency, empowered by transparent and auditable AI capabilities, will define enterprise hiring for the next cycle."

Addressing Critical Data Challenges in Retail: Fast-Evolving Data Management Roles and Strategies for Successful AI

Cristiano Quattrini, Margot Juros — Mon, 19 Oct 2026 04:00:00 GMT

This IDC Perspective discusses how retailers are accelerating investment in AI, but IDC’s 2026 Global Retail Survey shows that scaling AI depends heavily on the maturity of the underlying data environment. While 42% of retailers identify digital skills and talent as the largest individual barrier, poor data synchronization and integration at 34%, limited access to real-time data and analytics at 34%, and insufficient operational and customer data visibility at 29% form a significant cluster of structural constraints.

The same pattern appears in individual retail functions. Real-time network-wide inventory visibility remains a leading operational challenge, while difficulty personalizing at scale highlights persistent customer data fragmentation. Retailers therefore need to treat data integration, semantic consistency, ownership, real-time information, governance, and observability as core elements of their AI strategies.

Successful AI will depend less on the volume of data a retailer owns and more on its ability to provide trusted, timely, semantically clear, and appropriately governed information to humans, applications, and increasingly autonomous AI systems.

“Retailers are discovering that scaling AI is often less about finding a better model and more about giving this model a reliable representation of the business. Data synchronization, real-time access, and visibility sit immediately behind talent among the main barriers to AI execution. As AI moves closer to inventory, customer decisions, fulfillment, pricing, and store operations, data management becomes part of the operating model itself. Retailers that treat integration, inventory visibility, customer data unification, and governance as core AI capabilities will be much better positioned to move from experimentation to scalable business value,” says Cristiano Quattrini, senior associate advisor, IDC Retail Insights.

Designing for Organizational Agility: Structural, Procedural, and Cultural Principles Technology Leaders Should Adopt Now

Niel Nickolaisen — Mon, 19 Oct 2026 04:00:00 GMT

This IDC Perspective identifies principles that make organizational structures, processes, and culture agile by design rather than agile by necessity. As the pace of technology and market change continues to increase, organizations that wait to react will find themselves perpetually behind; organizations that build simplicity, loose coupling, minimal bureaucracy, and a passion for flow into how they plan, govern, and operate will instead find agility built into their operating models. This shift asks technology leaders to extend principles they already trust in architecture (simplicity and loose coupling chief among them) to the organizational structures, processes, and cultures they lead.

"We have spent years designing our systems for replaceability and simplicity. The organizational structure, processes, and cultures around those systems deserve the same design discipline," said Niel Nickolaisen, adjunct research advisor for IDC's IT Executive Programs (IEP) practice. "Agility is not a single reorganization or a new planning template; it is what happens when simplicity, loose coupling, minimal bureaucracy, and a relentless focus on flow are designed into how an organization works, so that adapting to change becomes routine rather than exceptional."