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2026年国内ネットワーク機器市場企業ユーザー調査

Kenichi Kusano — Thu, 30 Jul 2026 04:00:00 GMT

本調査レポートは、企業ネットワークに関するアンケート調査の結果を分析したものである。本調査は、2026年5月に、従業員数10人以上の国内の企業700社（官公庁を含む）を対象に実施した。主な調査項目は以下のとおりである。

企業ネットワークのトレンドと課題
ネットワーク障害への対応状況
ネットワークセキュリティの動向：ネットワーク管理者の視点
ネットワーク運用管理におけるAI（Artificial Intelligence）活用への期待

「汎用的なAIツールは、企業のネットワーク運用管理業務にもすでに浸透している。生成AIが得意とする社内提案資料や手順書といった文書の作成や、マニュアルやRFC（Request for Comments）の要約に加えて、コマンドラインベースの運用業務にも活用されている。ネットワークソリューションベンダーは、独自のAI活用機能やソリューションを導入しているが、汎用的で軽量な業務は、汎用的な生成AIツールで代替される可能性に留意して機能開発を進めるべきである」とIDC Japan、Network & Securityのシニアリサーチディレクターである草野賢一は述べている。

IBM Advances Trusted Quantum Computation, Introducing a New Framework for Quantum Advantage

Heather West, PhD — Thu, 30 Jul 2026 04:00:00 GMT

As enterprises increasingly prepare for quantum computing to deliver business value, confidence in the reliability and reproducibility of quantum results will become just as important as computational performance. IBM Quantum's latest research advances this objective by introducing complementary approaches for trusted quantum computation, representing an important milestone on the path toward fault-tolerant quantum computing and future enterprise applications.

IBM Earnings 2Q26

Lars Goransson, Shari Lava, Ashish Nadkarni, Robert Parker, Rick Villars — Thu, 30 Jul 2026 04:00:00 GMT

IBM entered the second half of 2026 with a softer quarter than it expected, reporting revenue up 1% year over year (y/y) in constant currency to $17.2 billion, below its own guidance. All references in this document are in constant currency. Software grew 5%, and Consulting grew 1%, while Infrastructure declined 7%. As IBM noted in its pre-announcement on July 13, the shortfall came in the final weeks of June, when clients shifted spending toward servers, storage, and memory to secure supply-constrained infrastructure ahead of expected price increases, and tens of large software deals failed to close on the timelines IBM expected. IBM still expanded its operating pretax margin by 30 basis points, generated $2.5 billion of free cash flow in the quarter and $4.8 billion through the first half, and revised its full-year outlook to 4–5% constant currency revenue growth while maintaining its target of roughly $1 billion in free cash flow growth.

IDC’s Worldwide DevOps Software Tools Taxonomy, 2026

Jim Mercer — Thu, 30 Jul 2026 04:00:00 GMT

This IDC study provides a detailed description of IDC’s DevOps software tools market taxonomy. It is an update to the taxonomy published in July 2024, reflecting updates to the functional markets that comprise the DevOps software tools market.

“IDC’s worldwide DevOps software tools taxonomy presents a standardized and detailed framework of the market,” says Jim Mercer, program VP on software development, DevOps, and DevSecOps, IDC. He adds, “This document is an essential resource for users to better understand IDC’s DevOps tools research.”

IDC’s Worldwide Digital Engineering and Operational Technology Services Taxonomy, 2026

Mukesh Dialani, Francesca Ciarletta — Thu, 30 Jul 2026 04:00:00 GMT

This IDC study provides a detailed description of IDC’s digital engineering and operational technology services taxonomy. In 2022, the taxonomy also includes individual foundation markets grouped within primary market segments: product engineering (PE) services, product life-cycle management (PLM) services, operational technology (OT) services, and digital engineering services. At the worldwide level, spending is also segmented across three geographic macroregions: the Americas; Europe, the Middle East, and Africa (EMEA); and Asia/Pacific. These macroregions are further segmented at the regional and local levels. IDC’s worldwide services taxonomy is the basis for IDC’s research studies, trackers, and forecasters for services.

“IDC’s digital engineering and operational taxonomy services taxonomy presents a comprehensive and standardized view of the overall PE, OT, and digital engineering services market,” says Mukesh Dialani, research vice president, Digital Engineering and Operational Technology services. “As technology product and enterprises continue to focus on time to market, achieve higher ROI for their engineering investments accelerated by AI and agentic AI, operations resiliency, the building of new software platforms, digital innovation, global engineering talent, ecosystem leverage, and improvement in product quality and throughput, they will increasingly reach out to and partner with service providers offering these services.”

Market Forecast: Worldwide Project and Portfolio Management Software Forecast, 2026–2030 — Driving Innovation and Business Strategy with Agentic Collaboration

Melinda-Carol Ballou — Thu, 30 Jul 2026 04:00:00 GMT

This IDC presentation provides a 2026–2030 forecast for the worldwide project and portfolio management (PPM) software market, which grew 12.2% to 8.6 billion in 2025. We expect a CAGR of 12.8% over the forecast period, moving PPM from $7.6 billion in 2025 revenue to $16.3 billion in 2030. We see uptake and rapidly evolving adoption of AI and machine learning (ML), including AI agents, and significant uptake of SPM, PPM, and CWM in the cloud, which will continue throughout the forecast period. This ongoing double-digit growth is noteworthy in an unpredictable, challenging, and dynamic market. Decision-making in volatile financial and geopolitical environments demands effective prioritization; the radical shift to flexible, adaptive work, strategic planning and innovation, and demand commensurate management and governance of resources, programs, and portfolios for global enterprises, along with agile value streams. We saw high engagement and revenue growth from major and key innovative smaller PPM vendors in 2025, with a few exceptions, which sets the stage for high double-digit growth numbers for the forecast. We expect this will continue with digitization and a shift to experience-orchestrated business models, by leveraging automation and adoption of new AI, agentic AI, and GenAI models, to scale with intelligent context while prioritizing data from trusted sources. The increasing role and complexity of sourcing for projects, programs, and portfolios in the enterprise and the need to align with business needs, corporate governance, and regulatory requirements, with flexible work, have combined to retain growth for the overall PPM market. This is occurring even as the global economy shifts unpredictably and geopolitical volatility creates substantive uncertainty. IDC has seen increased alignment of strategic PPM with enterprise resource planning (ERP) (including professional service automation [PSA]), the evolution and rapid uptake of AI capabilities, initial agentic adoption and ongoing cloud usage, increased coordination with application life-cycle management (ALM), and value-centric planning. High double-digit growth driven by collaborative work management is exemplified in vendors such as Smartsheet, Asana, and Wrike (with revenue in the team collaboration automation [TCA] market), and monday.com, Adobe Workfront, and ClickUp, with revenue tracked in PPM. Agile and service management vendors providers have been leveraging PPM and PSA through alliances, integration, organic development, and/or acquisitions. This continued to have an impact in 2025 and will play a role in market growth through 2026–2030 (exemplified by additional acquisitions in 2025 by vendors such as ServiceNow, Planview, and Wrike). We expect PPM in the forecast time frame to also play a synergistic role increasingly with new product development and the evolving Internet of Things (IoT) arena, as well as governance for DevOps, as organizations must increasingly coordinate software deployment from inception to deployment and service management (with an increasing range of platforms on which to deploy).

Organizations must optimize execution while addressing flexible work and the complexity of project, program, and product delivery, and managing economic, supply chain, and geopolitical volatility as operational and business needs change dynamically along with technology. The emergence of AI agents to help organizations benefit from pragmatically actionable context, AI and machine learning capabilities improve collaboration and strategic planning, and are dramatically impacting the PPM space moving into 2H26 for the forecast period 2030, bringing significant benefits and analytics opportunities. Risks include a need for AI governance, judicious adoption, proactive usage, and engagement and organizational process change for effective AI adoption.

"Multiple drivers pushing growth and adoption for PPM, SPM, and CWM that will continue into the 2026–2030 forecast period include distributed work requiring execution visualization, economic and resource volatility, and agentic adoption benefits (with imperatives for AI governance and orchestration). As businesses leverage AI-driven models to scale and contextualize intelligence for collaboration and prioritization, we expect PPM demand to grow at a 13.6% CAGR, with innovation driving adaptive planning." — Melinda Ballou, research director, AI Assurance, ALM, Quality, and Portfolio Strategies, IDC

ServiceNow 2Q26: The AI Beat Goes On with Accelerating Customer Adoption for a Trusted Platform

Stephen Elliot — Thu, 30 Jul 2026 04:00:00 GMT

A few of the highlights from the ServiceNow 2Q26 financial results include:

ServiceNow AI ACV crossed $1 billion in the second quarter, on track to its $1.5 billion target by the end of 2026.
Customers with agentic AI in production have grown 9x over the last nine months.
Subscription revenue was $3.877 billion, representing 24.5% year-over-year growth, 23% in constant currency, 150bps above the high end of guidance.
Current Remaining Performance Obligations (cRPO) was $13.20 billion, representing 21% year-over-year growth.
Operating margin (non-GAAP) was 29.5%, 300bps above guidance.
Renewal rate was 98%.
The company saw 123 transactions over $1 million in net-new ACV, growing nearly 40% year over year.
658 customers with more than $5 million in ACV represented approximately 23% year-over-year growth.

市场份额：中国设计研发类工业软件（CAE）市场份额，2025：稳态竞局，细分突围

Yanze Du — Thu, 30 Jul 2026 04:00:00 GMT

本IDC研究分析了2025年中国设计研发类工业软件（CAE）市场中领先供应商的市场份额。

报告涵盖CAE整体市场以及电子散热仿真产品在中国市场的收入表现。

IDC中国制造业行业研究领域高级研究经理杜雁泽表示：“2025年国内CAE市场保持稳健增长，整体大盘稳态运行，全球厂商依旧占据头部份额优势。伴随AI算力基建爆发，整体仿真市场增速领跑工业软件市场，电子散热仿真等高景气细分赛道增速跑赢行业均值。本土厂商依托细分场景单点突破实现份额抬升，但全栈仿真与海外巨头仍存在差距。”

Agent Orchestration: The Next Frontier for ITOps and True Metric of Enterprise AI Maturity

Archana Venkatraman — Wed, 29 Jul 2026 04:00:00 GMT

This IDC study discusses how agent orchestration is emerging as the critical metric for enterprise AI maturity, shifting focus from building agents to governing, observing, and coordinating them at scale. Without formal orchestration frameworks, organizations face increased operational risks, governance gaps, and costly failures. ITOps-led orchestration can offer robust governance, resilience, and auditability, especially for complex, regulated environments.

“In the era of agentic AI, the true test of enterprise maturity is not how many agents you deploy but how well you orchestrate, govern, and recover when they inevitably fail,” says Archana Venkatraman, senior research director, IDC. “Investing early in observability and orchestration for governance, resilience, control, and explicit human-in-the-loop design is essential.”

Are Team Collaboration Platforms the Last Stand for Human Interfaces in the Agentic Future?

Daeil Chun, Alessandro Perilli — Wed, 29 Jul 2026 04:00:00 GMT

This IDC Market Perspective argues that throughout their execution life cycle, agents must communicate with humans in structured ways: reporting progress milestones, explaining delays, escalating decisions, and justifying conclusions to meet explainability and transparency requirements. Correspondingly, human work is shifting toward managing, monitoring, auditing, and evaluating agentic activity. Team collaboration platforms are the natural venue for this exchange, as they already sit where humans coordinate work. They can give agents a single, familiar interface for reporting, escalation, and review; absorb the surge of handoffs that AI-accelerated development creates; and visualize multiagent behavior that traditional monitoring cannot, all at a lower switching cost than adopting new collaboration features inside an agentic layer.

“The next platform war won’t be won by whoever builds the best agent — it’ll be won by whoever controls where humans and agents actually meet.” — Daeil Chun, senior research manager, AI Research, IDC