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IDC MarketScape: Worldwide Airlines Professional Services 2026–2027 Vendor Assessment

Ravikant Sharma — Wed, 28 Oct 2026 04:00:00 GMT

This IDC study analyzed the solution offerings and go-to-market strategies of professional services firms that serve airlines and airports worldwide.

“Airlines and airports are under growing pressure to modernize passenger experience, operations, and enterprise systems, even as budgets and timelines stay tight. Given the scale and complexity of that work, they rely on professional services partners not just for delivery capacity but for owned platforms, AI-augmented delivery models, and pricing structures that reflect how the work actually gets done. Vendors that can pair that capability with durable technology partnerships and a track record in aviation standards work will be positioned to lead this market,” said Ravikant Sharma, research director, IDC Public Sector.

IDC FutureScape: Imaging 2027 Predictions

Tue, 27 Oct 2026 04:00:00 GMT

This IDC FutureScape highlights the top 10 predictions shaping the imaging market for the next five years.

"The imaging market is no longer defined by devices, but by the intelligence embedded in and around them. As AI moves into every layer of print and document infrastructure, printing devices become connected platforms that optimize user experiences, orchestrate business workflows, and drive future-ready compliance. Organizations that audit their fleets now, weigh security and compliance risks, and lock in favorable vendor terms will be best positioned to compete," said Robert Palmer, research vice president, Imaging, Printing, and Document Solutions.

IDC FutureScape: Quantum's Enterprise Agenda 2027 Predictions

Tue, 27 Oct 2026 04:00:00 GMT

This IDC FutureScape presents the 2027 predictions for quantum's enterprise agenda. Quantum computing is moving from isolated experiments toward production use, and how enterprises buy it will shape their results as much as the technology does. Quantum is becoming one part of a hybrid stack with AI and high-performance computing, and most organizations will reach it through cloud services and integrated platforms rather than their own hardware. That convenience has a cost. Dependence on a small number of providers, from development tools to sensors, makes switching harder over time. A shortage of quantum specialists is pushing firms toward AI-enabled platforms that let existing developers do more of the work. Security adds pressure because autonomous AI systems and sensitive data need protection against future quantum attacks. Supply constraints on scarce materials also reward buyers that avoid betting on a single hardware design. Pharmaceutical research leads early adoption. Technology leaders should prioritize portability, architectural flexibility, and early cryptographic planning.

"As quantum becomes invisibly integrated with AI and HPC, quantum advantage will evolve into enterprise advantage, delivering tangible business value through existing technology ecosystems." — Heather West, senior research manager and global quantum computing research lead, Semiconductor and Enabling Technologies, IDC

AI Token工厂的网络与存储加速

Xiangdong Hu, Laura Chen — Mon, 26 Oct 2026 04:00:00 GMT

本IDC市场看法基于公开资料、IDC Token经济与智能体研究及MLPerf Inference v6.0基准测试数据，深度分析AI时代数据中心从“算力竞赛”向“Token效率竞赛”的范式转移，以及网络与存储在此进程中的加速作用。核心发现聚焦于三大转变：评估标尺从“每美元FLOPS”转向“每Token成本”——推理负载占比将达70%；网络与存储从“连接管道”“数据仓库”升级为决定效率上限的“神经系统”“工作台”，二者合计仅占基础设施TCO的约16%—18%，却决定五分之四以上资产的运行效率；网络利用率从60%提至95%、以存代算使TTFT改善约9—20倍，叠加企业级Token成本一年下降67%的剪刀差，正推动AI从“烧钱”走向“盈利”。文章从AI网络四维度、AI原生存储四层架构及Token经济学三个转向等维度，为技术提供商与服务提供商提供可操作的建设与投资建议。

“AI时代的数据中心之争，不是比谁买的GPU更多，而是比谁的GPU真正在产出Token。核心矛盾不在于算力不足，而在于网络与存储这两个隐性杠杆被长期忽视——不到五分之一的投资，却决定五分之四以上资产的运行效率；在推理占企业AI预算超80%的今天，这种错配随时可能吞噬GPU投资的回报。能赢下来的Token工厂，一定是那些把网络利用率和存储缓存命中率当作一等公民来经营的玩家。”——胡向东，IDC企业网络基础设施领域研究总监。

Cisco XDR Premier: Managed Detection and Response, Investigated End to End

Craig Robinson — Mon, 26 Oct 2026 04:00:00 GMT

This IDC Vendor Profile examines Cisco XDR Premier, Cisco’s managed detection and response service built on the Cisco XDR platform. It covers how the service is delivered and priced, how the technology and SOC operate, and where Cisco says the service is heading, and it closes with guidance for Cisco and for buyers.

IDC FutureScape: Sovereignty and Regulations Reset IT's Rules 2027 Predictions

Mon, 26 Oct 2026 04:00:00 GMT

This IDC FutureScape guides buyers through securing scarce compute resources, automating multiregion compliance, and architecting for long-term operational resilience. Hardware constraints, power grid bottlenecks, and fragmented regulations are forcing enterprises to replace universal sovereign AI ambitions with selective, portable, and jurisdiction-aware deployments.

"Universal sovereign AI deployment is colliding directly with specialized silicon shortages, severe grid power constraints, and increasingly fragmented regulatory frameworks. Rather than attempting exhaustive, jurisdiction-by-jurisdiction parity, enterprise leaders must treat compute capacity and power as strategic dependencies, prioritizing essential workloads, automating cross-border governance, and embedding explicit architectural portability into every platform decision," said Dave McCarthy, group vice president, Cloud and Datacenters, Enterprise Infrastructure at IDC.

IDC PlanScape: Agentic AI Governance

Dr. Ken Knapton — Mon, 26 Oct 2026 04:00:00 GMT

This IDC PlanScape argues that mitigating the risk of overscoped agents requires governance, not another layer of detection tooling.

“Agent governance must define what an agent is permitted to access, which actions it may take independently, which duties must remain separated, what content it must treat as untrusted, and who is accountable for approving and reviewing those boundaries. It must also ensure that recovery paths and backup controls are not reachable through the same credentials that let an agent change production systems. That discipline maps directly to ISO/IEC 42001, the international standard for AI management systems, but it also fills a gap in many current AI governance programs: governing not only models and policies but also the operational authority of agents acting inside enterprise workflows,” says Dr. Ken Knapton, adjunct research advisor for IDC’s IT Executive Programs (IEP).

2026 IDC FinTech Rankings and Real Results Program

Jerry Silva — Fri, 23 Oct 2026 04:00:00 GMT

Now in its 23rd year, the IDC FinTech Rankings and Real Results program has not only continued to show the strength of technology investments in the financial services industry but has also demonstrated how AI is delivering real business value in those leading institutions that deploy AI enterprise-wide.

“AI has become a dominant force in technology spend across financial services, as indicated by the revenue growth among top IT providers worldwide,” said Jerry Silva, program vice president, IDC Financial Insights. “The deployment of AI across multiple operational and business environments is already creating value for financial institutions, as demonstrated by the IDC Real Results case studies.”

IDC Market Glance: Worldwide IoT Connectivity Services, 3Q26

John Gole, Jitesh Gera — Fri, 23 Oct 2026 04:00:00 GMT

This IDC Market Glance provides a concise, taxonomy-based view of the worldwide IoT connectivity services ecosystem, spanning service providers, enabling infrastructure and standards, connectivity management and eSIM orchestration software, and connectivity hardware. IDC’s take highlights the arrival of the GSMA’s SGP.32 eSIM specification, the anticipated adoption of 5G RedCap, satellite as an extension of cellular IoT, and ARPU pressure driving defensive consolidation. Business executives, product managers, and market insights professionals can use it to understand the market structure and identify where their organization fits.

Long-Term Data Retention in IDC’s Global StorageSphere

Adam Wright, Edward Burns — Fri, 23 Oct 2026 04:00:00 GMT

This IDC Market Perspective analyzes the current state of long-term data retention by enterprise organizations in IDC’s Global StorageSphere. It provides a definition for long-term data retention and explores the reasons why organizations retain data long term, including the growing influence of AI and ML training as a distinct retention driver. It also examines how much data is being retained long term, the type and mix of media on which long-term retained data is being stored, where it is being stored, and the dynamics that might impact long-term data retention policies and practices by organizations in the future.

“No two organizations define long-term data retention quite the same way. Every organization draws that line based on its own mix of regulation, cost, and now, increasingly, what it thinks its data might be worth to an AI model down the road. The organizations that will manage this best are the ones that revisit this line regularly rather than setting it once and forgetting it because the reasons to keep data longer are changing faster than they have in years,” according to Adam Wright, senior research manager, IDC’s Global DataSphere and Global StorageSphere.