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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.”

Adobe Posts Record 2Q26 Results: AI-First ARR Triples

Gerry Murray, Roger Beharry Lall, Douglas Hayward — Thu, 18 Jun 2026 04:00:00 GMT

Agentic AI for Voice of Customer

Oru Mohiuddin — Thu, 18 Jun 2026 04:00:00 GMT

Agentic AI is transforming voice of the customer (VOC) from a slow, peripheral feedback tool into a core, real-time driver of CX performance. By automating feedback loops, integrating unstructured data, and enabling predictive, autonomous responses, agentic VOC delivers measurable gains in efficiency and quality. However, successful adoption requires robust data integration, governance, and organizational readiness, making it a strategic, platform-level decision for enterprises seeking to compete on CX.

Broadcom AR Forum 2026: A Mainframe Strategy Anchored in Open Source, Embedded AI, and Closing the Skills Gap

Matthew Flug — Thu, 18 Jun 2026 04:00:00 GMT

At its 2026 Analyst Forum, the Broadcom Mainframe Division presented a mainframe strategy built on modernizing applications on the mainframe rather than away from it, matching each workload to the platform best suited to it, leading the open source mainframe ecosystem, and embedding AI into existing products rather than selling AI capabilities as separate offerings.

Japan Datacenter Facility Forecast, 2026–2030: Investment and Spending

Mimei Ito — Thu, 18 Jun 2026 04:00:00 GMT

This IDC study estimates and forecasts the market size of the Japan datacenter (DC) facility market, focusing on the new construction/expansion market and the maintenance/renewal market. The DC facility market covered in this study includes buildings, electrical facilities, and cooling systems. The DCs covered in this study are commercial DCs and internal DCs installed in Japan.

"As the installation of AI infrastructure is being urgently pursued, the reduction of construction periods has become a challenge," says Mimei Ito, research manager, Software, Services, and IT Spending at IDC Japan.

This is the English translation of the Japanese document (IDC #JPJ53499626).

The Agentic Advantage: Harnessing Commercial AI for National Security Without Compromising the Mission

Alan Webber — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Perspective examines the strategic implications of agentic AI-driven COTS for U.S. and NATO defense and intelligence agencies and the Defense Industrial Base. AI-enabled commercial software is undergoing its most fundamental architectural shift since the advent of cloud computing, and national security, defense, and intelligence organizations cannot afford to watch from the sidelines. This document maps the commercial innovation trajectory, assesses the opportunities and risks of COTS AI adoption in mission-critical and classified environments, addresses the structural challenges of sovereign cloud and sovereign AI for allied nations, and provides a practical framework including risk tiering, vendor assessment criteria, and governance structures for responsible adoption at speed.

"The commercial software industry is not waiting for government acquisition reform. It is already mid-transition into an agentic era that will make today's SaaS applications look like legacy infrastructure within a decade," said Alan Webber, program vice president, National Security, Defense, and Intelligence at IDC. "Defense, intelligence, and allied government organizations that treat COTS AI as a procurement question rather than a mission architecture transformation will find themselves perpetually behind the frontier. The urgent work is not evaluating which AI tools to buy. It is building the governance, sovereignty, and organizational foundations that make it possible to deploy commercial AI at the speed and trust level that national security demands."