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2Q26中国竞争力分析报告——成像与打印外设市场（历史+预测）2Q26 China Compete Imaging ─ HCP Market Summary (Historical + Forecast)

Donna Wang — Wed, 30 Sep 2026 04:00:00 GMT

IDC市场竞争报告对喷墨、A3&A4激光市场进行了详细分析，总结了打印外设数据收集的核心洞察。该报告包含高价值的营销洞见、市场核心趋势以及厂商市场份额分析。以下是报告涵盖的主要内容：

执行概要
市场综述
产品分析
竞争分析
细分市场分析
渠道分析
市场预测

本报告中引用的数据和观点来自IDC《全球打印外设市场季度跟踪报告》（2Q26）。

All Roads Lead to AI: What the NSSTS's Own Priority Map Actually Tells IT Vendors

Alan Webber — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Market Perspective examines the August 2026 National Security Science and Technology Strategy (NSSTS) through the lens of IT vendors. It traces what the strategy actually changes — acquisition mechanics, research security, foreign investment screening, export controls, and the updated Critical and Emerging Technologies (CET) list — and provides an original analysis of the Appendix B mission alignment matrix, ranking each CET area by mission breadth to show where the government's own technology priorities concentrate. It closes with guidance for IT vendors, the Defense Industrial Base, and allied governments navigating this environment over the next 12–24 months.

"The NSSTS Appendix B is a relevance map, not a resourcing map. It tells vendors where a technology matters to the government, not how much money follows it," said Alan Webber, program vice president, National Security, Defense, and Intelligence at IDC. "Vendors who read the matrix as a funding signal will misjudge their own pipeline."

Ericsson 2026 Analyst Event: The Network as a Participant in AI Use Cases

Ahmad Latif Ali, Denise Lund, Paul Hughes, Brandon Butler — Wed, 30 Sep 2026 04:00:00 GMT

Ericsson's 2026 Analyst Event made it clear that the network is no longer just infrastructure for AI — it's becoming a co-participant in it. Ericsson is repositioning the network from infrastructure to a trust layer for AI, monetizing identity, location, and quality signals that pure-play CPaaS rivals can't replicate. The risk: Value scales only as fast as operators expose these APIs, and developers still expect open flexibility over network lock-in.

IDC MarketScape: Worldwide Embedded Payment Applications in Treasury Management Workflows 2026 Vendor Assessment

Jordan Steele, Kevin Permenter — Wed, 30 Sep 2026 04:00:00 GMT

This IDC study assesses vendors offering embedded payment capabilities inside treasury workflows, covering cash aggregation, multi-horizon forecasting fed by AP and AR data, treasury-grade payment execution, and FX and liquidity risk monitoring. The study evaluates how well vendors extend forecasting and cash visibility from a broader finance platform into a genuine treasury capability rather than a bolt-on reporting layer.

"Cash aggregation across banks and accounts has become table stakes, so the real differentiation in treasury now comes from how forecasting draws on live AP and AR data instead of static exports," said Jordan Steele, research manager, Financial Applications, IDC. "Agentic AI adoption in treasury is still uneven across the vendors we evaluated, and that gap is likely to define the next round of competitive separation in this workflow."

IDC Survey Spotlight: For Whom and for What Purposes Is Carbon Management Software Most Effective?

Amy Cravens — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey Spotlight examines how effectively carbon management software performs across business functions and use cases. Drawing on IDC's April 2026 Sustainability Software Survey of 816 organizations, spanning 10 business personas, IDC finds that enterprise-wide adoption has outpaced enterprise-wide value delivery: effectiveness ratings rarely climb above one-third for any use case, even as carbon management tools now touch nearly every function. Confidence gaps diverge sharply by role, signaling that there is an opportunity to close functional and persona-level gaps.

"Carbon management software has achieved broad adoption, but broad adoption is not the same as broad value. The capabilities used most confidently today are backward looking, reporting on emissions that already happened, while the persona closest to where emissions are created and the tools that model what happens next are the weakest links. As we move into the next era of carbon management, there remains a gap to close between where these tools are deployed and where they actually change decisions." — Amy Cravens, research manager, Sustainability and ESG Software, IDC

IDC Survey Spotlight: Where Are Organizations Geographically Deploying Colocation for Edge IT, and What Are Their Spending Plans for the Next 12 Months?

Olga Yashkova — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey Spotlight examines the worldwide distribution of enterprises that use colocation for their edge IT and their spending over the next 12 months, drawing on IDC's August 2026 EdgeView Survey (n = 650). Respondents represent organizations with 500+ employees that are currently using at least one form of edge computing and are director-level or above decision-makers across IT, line of business, and operations who are knowledgeable about their organization's edge infrastructure and strategy.

The survey covers edge computing strategy, drivers, industry-specific use cases, partner ecosystem, deployment challenges, and spending, including colocation-specific edge data points.

"Edge colocation has quickly become the venue of choice for enterprises moving from evaluation to production, backed by interconnection ecosystems and operational maturity that other venue types have yet to match," said Olga Yashkova, research manager, Edge AI Strategies and Hosting and Colocation Services at IDC.

IDC Survey: A View of the Cloud Edge in Asia/Pacific

Daphne Chung — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey examines how edge computing is evolving across Asia/Pacific and where organizations expect it to run next. The region is committed to near-term edge expansion, although most organizations remain early on the deployment curve, indicating that intent is running ahead of operational maturity rather than tracking alongside it.

IDC Survey: AI-Enabled Carbon Management Trends, 2026

Bjoern Stengel — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey finds that carbon-AI demand concentrates less in traditional heavy-emitting sectors and more in disclosure-driven ones: Software and IT services (38.5% priority) and financial services (securities) (37.2%) outrank oil and gas (30.2%) and utilities (22.5%), pointing to regulatory reporting obligations — not direct decarbonization — as the near-term AI growth driver. Carbon and GHG emissions management priority among AI-for-sustainability buyers rose from 19.4% in 2024 to 26.1% in 2026 — a 35.1% relative increase — yet this topic ranks only 10 of 13 ESG-AI issue areas on raw priority, even as it ranks third on transformation drive (42.9%), the sharpest ambition outpaces priority gap IDC measured across its 2026 AI and Sustainability Survey (n = 1,570 weighted; carbon/GHG cohort n = 405, weighted n = 410.5).

Predictive AI leads adoption (68.9% in banking), while unclear ROI remains the top adoption barrier. 76.6% of respondents are decision-makers, and 83.7% plan to increase AI-for-sustainability investment. IDC's analysis covers industry-specific use cases, vendor whitespace, and buyer personas for technology and services providers targeting AI-enabled carbon accounting, GHG footprinting, and climate disclosure automation.

IDC Survey: AI-Enabled Circularity and Life-cycle Management Trends, 2026

Bjoern Stengel — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey talks about how circularity and product design/life-cycle management is now a top ESG-AI priority for 28.7% of organizations, up from 21.8% in 2024 — a 31.8% relative increase. IDC's AI-Enabled Circularity and Life-cycle Management Trends, 2026, is based on IDC's 2026 AI and Sustainability Survey (n = 1,570; weighted) and IDC's 2024 AI and Sustainability Survey (n = 1,390). This IDC Survey finds that discrete manufacturing (44.0%), telecommunications (40.8%), and software and IT services (36.2%) lead the AI-for-sustainability investment in circularity — inverting the industry map IDC found in its companion carbon/GHG emissions research, where software and financial services lead instead of manufacturing.

Predictive AI is the leading modality across five of the six industry case studies detailed in the survey, and AI investment concentrates upstream, in environmentally sustainable manufacturing and socially sustainable sourcing, rather than at the point of end of life or reuse. The IDC Survey profiles six industries in depth, examines buyer psychology and decision-maker ownership by sector, and provides vendor-selection guidance for technology providers targeting circularity-focused AI-for-sustainability buyers.

This is an essential reading for sustainability, ESG, and AI product strategy leaders assessing where circularity AI demand concentrates in 2026.

IDC Survey: Healthcare Technology Outlook on Agentic AI — Industry Value, Readiness, and Growth

Mutaz Shegewi, Nigel Wallis — Wed, 30 Sep 2026 04:00:00 GMT

This IDC Survey draws on IDC's Future Enterprise Resiliency and Spending (FERS) Survey, Waves 1 and 2, to examine how healthcare organizations are converting AI adoption into measurable business value. Healthcare AI deployments are already reducing diagnostic turnaround times, improving triage accuracy, and lowering readmissions. However, most organizations still lack the ROI frameworks to translate those gains into terms that budget committees and payers will act on. This IDC Survey traces four areas that will determine whether healthcare converts today's operational AI maturity into tomorrow's competitive and financial advantage and the implications of each: workforce and governance readiness, value-based care positioning, vendor evaluation criteria, and business model evolution.

"AI is arguably a demonstrable driver of healthcare industry value," says Mutaz Shegewi, senior research director, IDC Health Insights. "The question for the next 12 months is whether workforce, governance, and data foundations mature fast enough to turn that proof into standardized ROI and stronger payer contracts before the readiness gap becomes a competitive one."