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CX Path: Executive Summary, 2026 — Examining the CX Buyer’s Journey

Nadia Ballard, Aly Pinder, Eric Newmark, Tiffany McCormick, Douglas Hayward — Wed, 05 Aug 2026 04:00:00 GMT

This IDC Market Presentation provides an executive summary of the worldwide findings from IDC’s 2026 CX Path program.

IDC’s 2026 CX Path polled 2,530 respondents across 12 countries to collect information on CX application and AI adoption, the CX buyer’s journey, and CX vendor preferences and ratings.

Coverage includes application adoption, use of generative AI and/or agentic AI, deployment models, budget plans and replacement cycle timing, purchasing preferences and attitudes toward CX buying channels, pricing options, CX management platforms, ratings, spend, and advocacy scores. The study covers 14 functional application markets: advertising; marketing; sales; digital commerce; configure, price, quote (CPQ); product information management/experience management (PIM/PXM); contact center and customer service; voice of the customer (VOC); customer experience orchestration; content and experience management; customer data platforms (CDPs); customer and digital experience analytics; aftermarket service life-cycle management; and price optimization.

市场份额：中国大数据平台市场份额，2025

Leo Li, Yanxia Lu — Wed, 05 Aug 2026 04:00:00 GMT

本IDC研究分析了2025年大数据平台市场中领先供应商的市场份额。

IDC中国AI与数据领域高级分析师李浩然表示：”随着AI Agent与自主数据流的成熟，AI大数据平台将进一步向自然语言交互、自优化、自运维的智能化形态演进，成为企业构建差异化AI竞争力与实现数据资产高效变现的核心基础设施。2025年中国大数据平台市场即实现了27.8%的增长。”

IDC Market Glance: FinOps — Service Providers and GreenOps, 2Q26

Jevin Jensen — Tue, 04 Aug 2026 04:00:00 GMT

This IDC Market Glance is updated for 2026. It offers a graphical representation of financial operations (FinOps) service providers and green operations (GreenOps) vendors in the marketplace by product category. This overview illustrates key segments of the overall FinOps cloud cost transparency market, including FinOps service providers, hyperscalers, GreenOps and niche vendors. The two main segments are GreenOps and FinOps service providers/services. Each segment includes most of the key players in cloud cost transparency for FinOps.

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

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

IDC TechBrief: AI-Enabled Kubernetes Optimization and Security

Stanley B. Gibson, Jevin Jensen, George Mironescu — Tue, 28 Jul 2026 04:00:00 GMT

This IDC TechBrief examines how vendors are augmenting Kubernetes with AI and explains how organizations can gain from investing in these technologies.

The quest to optimize Kubernetes predates the current wave of AI. The surge in AI innovation, applied to Kubernetes environments, aims to deliver highly efficient configurations that yield significant savings to organizations.

But not all AI optimization tools are alike: some are essentially chatbots that suggest configuration improvements, some are standalone, and others are embedded in SRE suites. Which is best depends on the scope of a Kubernetes implementation; whether AIOps, SRE, FinOps, or DevOps/SecOps is involved; and what level of Kubernetes expertise the organization currently employs.

"Since the downsides of a suboptimal Kubernetes implementation are significant — money wasted, lackluster service levels, and security holes — IT leaders should explore the benefits of AI in the quest for an optimal Kubernetes environment while exercising caution in implementing technologies that might be new and unproven," said Stanley B. Gibson, adjunct research advisor with IDC's IT Executive Programs (IEP).

IDC's Worldwide: Dedicated Cloud Infrastructure and Services Taxonomy, 2026

Tue, 28 Jul 2026 04:00:00 GMT

This IDC study provides a detailed taxonomy for the dedicated cloud infrastructure and services market. The document covers the definitions of various building blocks and provides a top-level overview of dedicated cloud segments. IDC is retiring the term private cloud and replacing it with the term dedicated cloud, but the definition remains the same: environments in which IT resources are dedicated to a single organization and managed and delivered to end users utilizing cloud attributes. The growing availability of commercial and open source cloud platforms enables the increasing adoption of dedicated clouds by enterprises, while the proliferation of infrastructure management platforms for managing resources across multiple environments drives the expanding growth of hybrid IT environments.

"Dedicated cloud infrastructure as a service has become the defining ground for the enterprises seeking operational control over data placement, compliance posture, or workload governance," said Jasdeep Singh, research manager for IDC's Cloud and Infrastructure Services. "As OEM vendors, cloud service providers, and managed service providers compete in this market, the conversation has shifted from who can build the cloud to who can govern it, on the customer's terms, at the customer's choice of location, and in compliance with their regulatory and AI risk realities."

Market Forecast: Worldwide Enterprise Resource Management Applications Forecast, 2026–2030 — AI Creating Value

Mickey North Rizza — Tue, 28 Jul 2026 04:00:00 GMT

This IDC presentation provides the five-year forecast for the worldwide enterprise resource management applications market and delivers insights into the drivers and inhibitors of growth.

“AI is the accelerant creating value for the enterprise resource management market. Embedded AI in tasks, workflows, and processes is driving innovation and enabling the future with AI assistants and AI agents. Organizations are in the midst of shifting to Agents as Apps, dynamically reshaping the market and creating new software operating models. This shift increases the organization’s dependency on AI-powered enterprise resource management software as it moves to an agentic market.” — Mickey North Rizza, group vice president, Enterprise Software at IDC

Navigating Shortening Obsolescence Cycles: Actions Technology Leaders Should Take Now

Niel Nickolaisen — Tue, 28 Jul 2026 04:00:00 GMT

This IDC Perspective reveals that a critical success factor for technology leaders is the ability to adapt as technologies, technology providers, and organizational needs change. We have entered an environment of increasing change — driven by AI innovation. One of the consequences of increased technological change is the shortening of obsolescence cycles. As technology lifetimes shrink, there is an increased need to shorten technology planning and modernization timelines while also reviewing and changing business practices and decisions regarding the useful life and payback period of technology investments.

Technology leaders, departments, and their broader organizations that perform best in an environment of rapid change are those that make their processes, plans, and architectures more agile and adaptive and that recognize that such capabilities are now the minimum required.

“The pace of technology change has always defined the technology leader’s challenge,” says Niel Nickolaisen, adjunct research advisor for IDC’s IT Executive Programs (IEP) practice. “What is different currently is that the pace itself is accelerating — and the organizational models, planning horizons, and financial assumptions that served technology leaders well at a slower pace are no longer adequate. The technology leaders who recognize this structural shift and adapt their practices accordingly will increase the likelihood of their and their organization’s success.”

Hewlett Packard Enterprise Advances Simulation and AI Infrastructure Across Supercomputing and Enterprise Environments

Madhumitha Sathish, Peter Rutten — Mon, 27 Jul 2026 04:00:00 GMT

Hewlett Packard Enterprise’s (HPE) announcements at ISC 2026 and HPE Discover 2026 highlight an approach centered on bringing together modeling, simulation, and AI capabilities within integrated infrastructure environments delivered through hybrid and private cloud models. Across its portfolio, which includes supercomputing systems, AI Factory solutions, and GreenLake, HPE demonstrates how accelerated computing, networking, and software can be combined to support simulation workflows alongside AI-driven data processing and analysis. Enterprise deployments, cloud-scale environments with partners such as Vultr, and continued advancements in HPE Cray supercomputing platforms reflect how these capabilities are being applied to address a range of data-intensive use cases. Overall, HPE’s announcements emphasize the role of unified infrastructure in enabling organizations to run complex workloads while maintaining performance, control, and scalability.

IDC views this direction as representative of how organizations are increasingly applying simulation and AI capabilities together to support engineering, research, and operational objectives. As these workloads continue to grow in complexity and scale, integrated environments that combine high-performance compute, networking, and software are expected to play an important role. Hybrid deployment models, along with consumption-based approaches, provide flexibility for organizations to deploy these capabilities while maintaining governance and operational oversight.

“Across HPE’s portfolio, including supercomputing with HPE Cray, AI Factory solutions, networking, and hybrid cloud, modeling, simulation, and AI capabilities are increasingly brought together, building on the company’s long-standing HPC expertise to support performance-intensive workloads across the energy, manufacturing, healthcare and life sciences, financial services, and public sector industries,” says Madhumitha Sathish, research manager, IDC.