rssitbuyer

IDC MarketScape: Worldwide Operational Technology Security Services 2026 Vendor Assessment

Cathy Huang — Tue, 23 Jun 2026 04:00:00 GMT

This IDC study on worldwide operational technology (OT) security services vendor assessment for 2026 evaluates how a maturing, regulation-driven market is reshaping who can credibly deliver OT security services and what buyers should verify before committing to a provider.

Five forces are defining the 2026 competitive landscape. Regulatory deadlines in Europe and the Gulf are converting discretionary OT security spending into compliance obligations, and sovereignty, where the SOC runs, who staffs it, and whose threat intelligence informs it, has become a second-order procurement criterion. The OEM versus independent divide, accelerated by the EU Cyber Resilience Act, is redrawing how buyers structure multivendor programs. IT/OT convergence, OT security talent scarcity, AI in the OT SOC, and the shift to outcome-based contracting are separating providers with early structural bets from those still building capacity.

The assessment profiles 21 vendors against these forces, identifying Leaders based on their ability to operate at the intersection of regulatory depth, sovereign delivery, and demonstrated OT-native engineering capability.

“OT security buying in 2026 is being shaped less by what providers can do and more by the structural bets they made years ago in talent pipelines, in-country delivery, and OT-native engineering,” said Cathy Huang, senior research director, Worldwide Security Services, IDC.

Cloud and Platform Engineering in the AI Era

Jim Mercer — Mon, 22 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation outlines the convergence of cloud and platform engineering within the rapidly emerging era of generative and agentic AI. It provides practices and a RACI framework to help organizations define strategic, operational, and security ownership. "As AI evolves from developer tools within the IDE to an active force running within the platform's control plane, organizations face an urgent need to establish engineering rigor for autonomous systems," Jim Mercer, program vice president, Software Development, DevOps, and DevSecOps.

Hybrid Cloud Importance Grows in Asia/Pacific

Daphne Chung — Mon, 22 Jun 2026 04:00:00 GMT

This IDC study discusses that hybrid cloud is now foundational for Asia/Pacific (AP) digital transformation (DX), enabling organizations to balance innovation with compliance and operational control. The region’s regulatory complexity, AI adoption, and decentralized IT models make hybrid cloud not just an option but a necessity. Enterprises that invest in robust, future-ready hybrid platforms, supported by strong partner ecosystems and AI capabilities, will be best positioned to capitalize on emerging opportunities and navigate ongoing market and regulatory shifts.

Daphne Chung, research director of Cloud and Infrastructure Services says, “Hybrid cloud is not just an IT architecture; it is the new battleground for AI, compliance, and operational resilience across Asia/Pacific. To succeed, AP enterprises must prioritize unified management, advanced data governance, built-in security and compliance, integrated AI/ML life-cycle management, and automation.”

IDC TechBrief: Physical AI for Healthcare Providers

Mutaz Shegewi — Mon, 22 Jun 2026 04:00:00 GMT

Physical AI is rapidly emerging as a critical next phase in healthcare, extending AI from software to physical environments through robotics, smart sensors, and intelligent automation. Adoption is led by large health systems aiming for workforce scalability, operational resilience, and measurable ROI. Success depends on effective cross-functional governance, integrated architecture, and targeted workflow improvements, while potential risks include cybersecurity concerns, interoperability issues, and organizational preparedness. Physical AI will aid the market in moving from isolated pilots to enterprisewide intelligent operations, with efficiency and quality metrics influencing investment decisions.

“Physical AI will reshape how healthcare providers operate over the next decade, shifting AI from passive assistance to active participation in clinical and operational workflows,” says Mutaz Shegewi, senior research director, IDC Health Insights. “The long-term winners will not be the organizations adopting Physical AI first, but those that successfully build intelligent, adaptive, and resilient care environments capable of scaling workforce capacity, operational efficiency, and patient care simultaneously.”

Tanium Advances Autonomous IT with AI-Driven Innovations Across Threat Hunting, Anomaly Detection, and Policy Enforcement

Philip D. Harris, CISSP, CCSK, Grace Trinidad — Mon, 22 Jun 2026 04:00:00 GMT

Tanium's latest AI-driven platform innovations deliver a strategically cohesive expansion across security operations, endpoint management, and AI that meaningfully advances the company's Autonomous IT vision. By natively embedding threat hunting workflows, browser telemetry integration, anomaly detection, and autonomous policy enforcement within a single platform, Tanium strengthens its differentiation against both point solution vendors and broader platform competitors. IDC views these innovations as a compelling demonstration of Tanium's ability to execute against the company's AI-driven platform road map while addressing the consolidation priorities of enterprise and government security buyers.

Reimagining Rural and Underserved Healthcare Markets: A Framework for Unlocking Rural and Peri-Urban Technology Investments

Silvia Piai, Jennifer Eaton — Fri, 19 Jun 2026 04:00:00 GMT

Rural and structurally fragile health systems are no longer on the periphery of healthcare strategy. They have become the proving ground for distributed, AI-enabled care. Globally, four pressure lines (financial instability, workforce collapse, narrow service breadth, and demographic strain) are forcing a structural shift from hospital-centric delivery to regionally coordinated ecosystems spanning clinics, homes, and virtual layers.

Three forces make transformation possible now: policy momentum, as exemplified by the US Rural Health Transformation Program; technology maturity, with agentic AI, edge diagnostics, federated data architectures, and identity-led cyber-resilience; and the economic shift from episodic fee-for-service to longitudinal, value-based models.

This report reframes what “rural” means, maps the nine-layer technology stack enabling distributed care, and examines current and upcoming models. It closes with strategic guidance for buyers, vendors, and investors navigating risk, governance, and a market that rewards lower complexity and managed outcomes over scaled-down enterprise solutions.

“Rural healthcare is where constraints are forcing invention. The operating model emerging under that pressure — distributed, AI-augmented, and value-aligned — will define how every health system operates within a decade,” said Silvia Piai, Research Director, IDC Connected Health and Medical Device Digital Strategies.

Securing the Agentic Enterprise: Part 2 — Assessing the Impact of Agents on Key Security Domains

Fri, 19 Jun 2026 04:00:00 GMT

This IDC Perspective examines how agentic AI transforms enterprise security, requiring a shift from static controls to continuous, identity-driven governance. It outlines new risk categories — external, internal, and toolset-based — and emphasizes the convergence of security domains as agents operate autonomously. The updated IDC framework advocates for adaptive policies, real-time monitoring, and integrated controls to maintain resilience and compliance. Actionable recommendations guide technology buyers in strengthening identity-centric controls, deploying full-fidelity telemetry, and designing for ongoing disruption.

“Agentic AI compels enterprises to rethink security: while core principles endure, the real challenge is self-inflicted disruption from poorly governed agents. Continuous, identity-driven governance and operational resilience are now essential for navigating a landscape where disruption is constant, and boundaries are fluid,” says Duncan Brown, group vice president, IDC.

AI Governance: The Trust Layer — Governance Is Not Glamorous, But It Is About AI Trust

Kathy Lange, David Schubmehl — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines the rapidly evolving AI governance landscape, drawing on IDC research findings. It provides an AI governance market overview, trends, vendor landscape, benefits, and challenges, and delivers actionable guidance on closing the gap between governance declaration and execution, covering ownership, risk controls, responsible AI, agentic complexity, and the path to scalable, trustworthy AI deployment.

AI and the Network: Challenges, Expectations, & Benefits

Mark Leary — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Presentation offers the top takeaways from IDC's 2026 worldwide survey and analysis into AI-powered networking. All of the contained slides supported a keynote session at the May 2026 AI Networking Summit conducted by the Open Network User Group, an industry association comprised of enterprises dedicated to enriching networks through the use of open source and advanced technologies. These specific takeaways offer directional guidance and peer comparisons for enterprises looking to best leverage AI in network engineering and operations. A wide range of challenges, innovations, investment priorities, and areas of expected impact are highlighted in this presentation.

AI in Talent Acquisition: Speed Traps, Slow Burns, and Where Buyers Should Start

Abhinav Shrivastava — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Perspective reveals that AI is transforming talent acquisition, spanning every stage of the hiring life cycle and driving recruiter efficiency amid economic and skill pressures. While adoption is accelerating, buyers face challenges with fragmented data, regulatory complexity, and the need for tailored solutions. The IDC framework guides buyers to prioritize quick-value AI deployments, build governance for high-risk capabilities, and sequence investments based on regulatory load and speed to value, ensuring measurable outcomes and compliance in a rapidly evolving landscape.

“AI is reshaping both the demand and supply sides of the talent equation. The question is no longer whether organizations should invest in AI for talent acquisition, but where to invest and how to get started,” said Abhinav Shrivastava, research manager, Talent Acquisition and Strategy at IDC. “TA leaders who strategically select and tailor AI use cases to their specific needs will empower their talent acquisition functions with tools that differentiate the employer brand and attract skilled talent in an era of persistent skill shortages.”