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IDC MarketScape: Worldwide Mailroom Solutions and Services 2026 Vendor Assessment

Robert Palmer — Wed, 08 Jul 2026 04:00:00 GMT

This IDC study assesses the market for mailroom solutions and services among the most prominent global vendors and identifies their strengths and challenges. This assessment discusses both quantitative and qualitative characteristics that position vendors for success in this important market. This IDC study is based on a comprehensive framework to evaluate mailroom solutions and services, including standalone capabilities suitable for self-managed environments and outsourced mailroom services.

"As enterprises accelerate their shift to hybrid work models, the mailroom is emerging as a critical enabler of digital transformation, moving from a back-office cost center to an intelligent intake hub that drives speed, compliance, and operational resilience," says Robert Palmer, research VP, IDC's Imaging Domain. "Organizations should partner with mailroom solutions providers that combine physical and digital mail capabilities with AI-driven automation, robust governance frameworks, and seamless enterprise integration to ensure secure, efficient, and auditable information flows across distributed workforces."

The Agentic Enterprise Is Here: A Retail Lens on SAP Sapphire 2026

Ananda Chakravarty — Wed, 08 Jul 2026 04:00:00 GMT

This IDC Perspective discusses SAP Sapphire 2026 in Orlando (May 11–13), where SAP repositioned itself from an ERP vendor to a business AI company, recasting the application layer itself as an agentic stack. The day 2 keynote — led by CEO Christian Klein, with Member of the Executive Board Muhammad Alam, CTO Philipp Herzig, and COO Sebastian Steinhaeuser — rested on a blunt thesis: 80% accuracy may suit a consumer chatbot but fails in finance, supply chain, and HR. SAP’s answer was the SAP Business AI Platform. Governance runs through the SAP AI Agent Hub; trust is anchored by Anthropic’s Claude and NVIDIA’s secure runtime; and industry depth spans 26 industries, including retail’s Autonomous Unified Commerce, backed by a new RISE with SAP migration accelerator. Customer proof gives the vision weight. The recurring theme is that the rapid advancement of agentic AI is overtaking market forces, and a framework and an accompanying infrastructure will be necessary to leverage the modern business.

“Enterprise AI agents have advanced faster than almost anyone predicted. Agents can now reason, decide, and act across multistep workflows that were manual a year ago. But advancement isn’t the same as readiness. The accuracy tolerable for a consumer chatbot is nowhere near what finance, supply chain, customer experience, or HR demand, where ‘almost right’ carries real costs. The next phase belongs to organizations that pair agent autonomy with the data quality, grounding, and governance to make decisions trustworthy at scale,” says Ananda “Andy” Chakravarty, VP research at IDC Retail Insights.

Unified AI Platforms — Platformized or Compositional Architectures: Understanding the Differences

Kathy Lange — Wed, 08 Jul 2026 04:00:00 GMT

This IDC Perspective discusses how enterprise AI complexity is outpacing most organizations’ ability to manage it. As AI systems grow more autonomous, the architecture of the platform that governs them matters. This document examines two distinct architectural strategies in the unified AI platforms market: platformized architectures, where the platform owns and enforces the AI life cycle natively, and compositional architectures, where organizations assemble this life cycle themselves from APIs, SDKs, and external tooling. Neither is inherently superior, but they differ materially in who bears operational responsibility and how governance is enforced. Organizations that understand this distinction before evaluating vendors will be better positioned to choose an architecture that fits their engineering capacity, risk tolerance, and production-scale ambitions.

“Enterprises evaluating unified AI platforms are making a consequential architectural choice,” says Kathy Lange, research director, AI, Data, and Automation Software at IDC. “The line between platformized and compositional offerings is not always visible in vendor marketing, but it determines who owns the complexity of governing and operating AI at scale.”

Japan IT Spending Forecast by Vertical Segment, Company Employee Size, Company Revenue, and Region, 2026–2030

Hitoshi Ichimura, Ko Shikita — Tue, 07 Jul 2026 04:00:00 GMT

This IDC study presents the Japan IT market actual IT spending in 2024 and 2025, and the IT spending forecast from 2026 to 2030 by industry segment, company size, and annual turnover. This study also analyzes IT spending by dividing the industries into 21 categories, company size and product segments into five categories, and annual turnover into four categories; and discusses IT spending trends observed in each industry segment.

Despite the increasing uncertainty in the Japan economy, many Japanese companies are making full-scale efforts toward digitalization and digital business. In particular, large and medium-sized enterprises are advancing existing system renewals and infrastructure modernization projects, and therefore, IT spending is forecast to expand steadily. On the other hand, while small and medium-sized enterprises have needs for digitalization, their initiatives remain limited due to factors such as deteriorating business performance or a shortage of personnel with expertise in digitalization, which has also led to stagnation in IT spending growth rates. "IDC believes that IT suppliers' further focus on supporting the digitalization of small and medium-sized enterprises, centered on AI utilization, will contribute to stable growth in the IT business going forward," says Hitoshi Ichimura, senior research manager, Software, Services, and IT Spending at IDC Japan.

This is the English translation of the Japanese document (IDC #JPJ53503626).

Broadcom Charts Platform Engineering 2.0: Extending the IDP for the AI-Native Enterprise

Jim Mercer, Matthew Flug — Mon, 06 Jul 2026 04:00:00 GMT

Broadcom's VMware Cloud Foundation (VCF) business recently introduced Platform Engineering 2.0, a five-pillar framework that extends the discipline's foundation, platform as a product, golden paths, and self-service internal developer platforms (IDPs) into the AI era. The framework adds AI-native infrastructure, a multi-persona experience model, embedded FinOps, security that shifts down into the platform substrate, and a composable, API-first architecture to the existing foundation of platform engineering principles.

IDC MarketScape: Worldwide Foundation Model Software 2026 Vendor Assessment

Tim Law, Zhenshan Zhong, Anne Cheng — Mon, 06 Jul 2026 04:00:00 GMT

This IDC study evaluates vendors of worldwide foundation model software for 2026. The vendor assessment highlights the rapid evolution and enterprise adoption of foundation models, emphasizing their expanding multimodal, agentic, and reasoning capabilities. The document evaluates vendors on their ability to deliver scalable, secure, and customizable AI solutions for diverse enterprise needs, noting both strengths and challenges. As enterprises enter a multimodel, multiagent era, strategic model selection, integration, and governance are critical for maximizing value and operational efficiency.

"In 2026, the cognitive backbone of enterprise AI is no longer a single model, but a dynamic ecosystem of agents, modalities, and autonomous workflows redefining knowledge work," said Tim Law, research director, AI and Automation at IDC.

IDC MaturityScape Benchmark: AI-Fueled Organization Worldwide, 2026

Andrea Siviero, Xiao Liu — Mon, 06 Jul 2026 04:00:00 GMT

AI has moved from the periphery of the technology agenda to the center of enterprise strategy, yet scaling AI remains challenging. Many organizations continue to struggle to translate investments into measurable business value, and the rapid rise of agentic AI is adding a new layer of complexity to deployments. The AI-fueled organization is one in which strategy, governance, people, and technology are orchestrated so that intelligence is embedded across the operating model rather than confined to isolated pilots, supporting the full spectrum of AI technologies, including descriptive, interpretive, predictive, generative, agentic, and physical AI.

This IDC study presents results from IDC's MaturityScape Benchmark AI Survey, released in May 2026 across 1,900 organizations worldwide. It is the updated edition of IDC's inaugural 2025 benchmark (IDC #US53271725, March 2025) and applies the framework set out in the 2026 definition study, IDC MaturityScape: AI-Fueled Organization 2.0 (IDC #US54450625, April 2026). The most significant change this year is the elevation of governance to a distinct fourth dimension alongside strategy, people, and technology, recognizing that trust, risk management, and responsible AI practices have become prerequisites for scaling AI. The benchmark assesses enterprise maturity across five stages and four dimensions, and is intended to guide line-of-business (LOB) leaders, C-suite executives, and the IT and data organizations that enable the AI agenda, helping them determine where they stand against peers and prioritize the moves that most accelerate progress. Key findings in this benchmark study are:

Only 3.1% of organizations worldwide have reached the most mature optimized stage, and just 12.8% have progressed to the two most advanced stages (managed or optimized) overall. Becoming an AI-fueled organization is achievable, but it is a sustained journey rather than the product of a single deployment.
More than six out of 10 organizations (61.3%) remain in the two least mature stages, ad hoc and opportunistic, underscoring how much foundational work in strategy, governance, and data still lies ahead before AI can deliver enterprisewide value.
The worldwide mean maturity score barely moved, rising to 2.43 in 2026 from 2.39 in 2025. The near-flat result suggests that while the AI market is evolving at an extraordinary pace, execution is not keeping pace. The broad middle remains stuck in the early stages even as expectations, tooling, and competitive pressure escalate. But the share of organizations reaching the optimized stage jumped from 0.4% to 3.1%, which is evidence that a leading cohort is beginning to separate from the pack even as the broad middle advances slowly.

"IDC's 2026 IDC MaturityScape Benchmark: AI-Fueled Organization 2.0 confirms the disconnect between the AI supercycle's rapid infrastructure buildout and organizations' ability to execute. Strategy is outpacing delivery, talent remains the main barrier, and AI is still limited to incremental efficiency gains, not growth," says Andrea Siviero, global research lead, AI-Fueled Business Strategies at IDC. "Organizations are recognizing that scaling AI isn't just a technology challenge; it requires a deliberate strategy, strong governance, and a culture ready to embrace AI-driven change. Those that align business priorities with a coordinated AI road map will be the ones to turn experimentation into measurable business value," adds Xiao Liu, research manager, AI-Fueled Business Strategies at IDC.

DTW 2026 — Reality Check for Autonomous Networks, Agentic AI, and the Future of Telco Monetization

Chris Silberberg — Fri, 03 Jul 2026 04:00:00 GMT

DTW Ignite 2026 drew 3,000+ attendees to Copenhagen, with agentic AI, autonomous networks, AI monetization, and customer experience emerging as the event's defining cross-vendor themes. Though in some areas progress has not been as fast as expected, discussions were experience led, with progress being made in all areas.

Digital Engineering and Operational Technology Services Case Studies Showcase Report, Part 9: Physical AI Services

Francesca Ciarletta, Mukesh Dialani — Fri, 03 Jul 2026 04:00:00 GMT

This IDC Tech Buyer presentation showcases 19 real-world physical AI service case studies that were successfully implemented. The case studies included in this Presentation were submitted by engineering services vendors and vetted by IDC. This is the ninth in a series of case-studies showcase reports that IDC has published over the last five years, covering topics ranging from digital twins and IT/OT convergence to AI and generative AI in product engineering services, where engineering services providers have become valuable partners in designing and implementing high-tech engineering solutions with tangible impact.

IDC PlanScape: Executing an AI Transformation in the Electric Utility Industry: A Planning Guide for Sustained Value

Roberta Bigliani — Fri, 03 Jul 2026 04:00:00 GMT

Electric utilities have moved beyond the question of whether to invest in AI and are now working to convert a growing portfolio of pilots into measurable EBITDA impact at the enterprise scale. This IDC PlanScape is an execution guide for utility executives moving from AI exploration to enterprisewide deployment. It addresses the questions that determine whether AI investment compounds or scatters: where to start, what to build first, who owns it, which capabilities to stand up, how to sequence the work over 36 months, and what most often kills these programs. The IDC PlanScape draws on IDC’s 2026 Energy and Utilities Industry-Specific Tech and Innovation Survey of 531 utility respondents across 13 countries, supplier-ecosystem signals, and the IDC AI impact analysis applied to IDC’s Worldwide Electricity Industry Digital Transformation Taxonomy 2026. This analysis maps 250 AI use cases across nine strategic priorities. Of those, 78 qualify as agentic. The value concentrates: three operational domains carry the majority of the agentic intensity, and these are the same domains where closed-loop control is already the operating model rather than a feature.

The agentic premium is built into the economics. It stems from the data integration, process redesign, and governance alignment that domain-level transformation requires, and that point deployments consistently defer. Utilities that scope foundations at the domain level, design tiered AI governance up front, and measure impact at the domain rather than the use case will capture compounding returns. Utilities that continue to scope foundations around individual pilots will keep paying for incremental, isolated gains.

“Isolated pilots, unlike domain-led programs, lack the reach to drive the process redesign, data integration, and governance that scaling demands,” says Roberta Bigliani, Group Vice President, IDC.