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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.”

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

IDC Survey Spotlight: How Do Asia/Pacific (Excluding China) Partners Describe Their Current AI Business?

Vinay Gupta — Wed, 29 Jul 2026 04:00:00 GMT

This IDC Survey Spotlight explores how ecosystem partners in Asia/Pacific (excluding China) describe their current AI business, based on IDC's Asia/Pacific Partner Survey 2025, fielded among 520 respondents across the region. It examines how partner's AI maturity varies from ad hoc to optimized delivery and differs sharply by geography, with leading markets pulling ahead while others remain early in their journey. It argues that vendors must segment their partner ecosystem by AI maturity and define stage-specific enablement, milestones, and incentives to advance partners toward managed/optimized stages.

IDC’s Worldwide Semiannual Infrastructure Software Platforms Tracker Taxonomy, 2026

Shahin Hashim, Petr Jirovsky — Wed, 29 Jul 2026 04:00:00 GMT

This IDC Taxonomy discusses IDC’s Worldwide Semiannual Infrastructure Software Platforms Tracker Taxonomy, 2026, which provides a comprehensive framework for categorizing the global infrastructure software market. It details 33 functional markets across network, storage, and physical/virtual computing software, supporting consistent market sizing, segmentation, and competitive analysis. The taxonomy underpins IDC’s research database, enabling robust tracking of over 2,000 companies and informing both syndicated and custom research on evolving infrastructure software trends and vendor landscapes.

Market Forecast: Worldwide Intelligent Cloud and Edge Operations with FinOps Software Forecast, 2026–2030

Jevin Jensen — Wed, 29 Jul 2026 04:00:00 GMT

This IDC presentation provides the five-year forecast for the worldwide intelligent cloud and edge operations with FinOps software market.

The market performed exactly as expected in 2025, topping the $28 billion total addressable market (TAM). By 2030, and with conservative growth assumptions, we expected to hit nearly $50 billion TAM. AI drivers and infrastructure automation buildout will continue to drive this software market, especially as hybrid architectures remain popular with enterprises.

"The market performed exactly as expected in 2025, topping the $28 billion total addressable market (TAM). By 2030, and with conservative growth assumptions, we expected to hit nearly $50 billion TAM. AI drivers and infrastructure automation buildout will continue to drive this software market, especially as hybrid architectures remain popular with enterprises." — Jevin Jensen, research vice president, Infrastructure and Operations, IDC

Worldwide Retail Store Operations, Frictionless Retail, Loss Prevention, and Employee Engagement

Filippo Battaini — Wed, 29 Jul 2026 04:00:00 GMT

This IDC presentation analyzes findings from IDC's 2026 Retail Technologies and Business Process Trends Survey, with a focus on physical store operations, frictionless retail, loss prevention, and employee engagement.

Specifically, this presentation helps readers understand top business priorities and competitive challenges facing retailers globally in 2026; identify the most urgent store operations pain points (including shrinkage, inventory accuracy, and workforce management); analyze initiatives addressing frictionless customer experience and loss prevention; map two-year technology investment plans across RFID, computer vision, mobile tools, cybersecurity, and edge computing; examine frontline workforce empowerment strategies; and assess the adoption and planned use cases of agentic AI in store operations contexts.

从Token消耗到日活智能体数（DAA）产出：智能经济时代企业AI价值的新度量衡

Lianfeng Wu — Wed, 29 Jul 2026 04:00:00 GMT

本报告围绕DAA如何成为智能经济时代企业AI价值新度量衡展开。第一部分阐述DAA为什么出现，以及它如何标志AI竞争从模型能力转向任务执行力。第二部分梳理从DAU、Token到DAA的度量体系迁移，说明Token是成本语言，DAA是智能生产力活跃语言，业务结果才是财务价值语言。第三部分从CEO、CIO、CFO、COO、CMO、CHRO六类CxO视角，分析DAA对企业战略、架构、成本、运营、增长和组织重构的意义。第四部分提出DAA六层指标树，避免企业把DAA做成数量游戏。第五部分从金融、制造、零售与消费品、政务公共服务、能源与交通五大行业拆解DAA落地场景。第六部分提出DAA运营底座，包括模型、数据、工具、编排、身份权限、评测监控、运营商业七层架构。第七部分给出0—6个月、6—18个月、18—36个月三阶段落地路线图。第八部分分析百度在DAA方向的产品、技术、生态与应用案例，为行业用户选择智能体平台提供评估参考。

IDC中国副总裁兼首席分析师武连峰表示：“AI超级周期下，企业不能只关注模型是否先进、Token消耗多少，更要关注AI是否真正进入业务流程、完成任务并创造结果。DAA的价值在于把智能体从‘技术工具’转化为可管理、可运营、可衡量的数字劳动力，帮助企业建立面向智能经济时代的新型AI价值度量体系。”

市场份额：中国AI联络中心市场份额，2025：AI价值兑现提速

Kai Cui — Wed, 29 Jul 2026 04:00:00 GMT

本IDC研究分析了2025年中国AI联络中心市场中领先供应商的市场份额。

2025年中国AI联络中心市场规模仍保持温和增长，AI开始形成独立的软件收入和增购机会，但传统联络中心平台、通信能力、数据治理和行业流程依然是商业落地的基础。未来，市场份额的变化将更多取决于厂商能否把AI能力嵌入真实流程，建立清晰的投入产出模型，并在本地部署、专属云和公有云之间提供一致的产品与运营体验。

IDC中国电信和企业通信领域助理研究总监崔凯表示：“2025年，中国AI联络中心市场进入AI从演示走向生产环境的关键阶段。厂商竞争的重点已经从能否接入大模型，转向AI能否安全地调用系统、完成任务并持续稳定运行。短期内，坐席辅助仍将比全自动数字员工更快形成规模化收入；长期来看，编排、治理和AI运营能力将决定平台价值。未来2至3年，能够同时管理人工坐席与AI员工、提供混合部署，并以清晰经营指标证明价值的厂商，将获得更多预算和市场份额。”