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市場調查報告書
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1995262

終端用戶運算市場：2026-2032年全球市場預測，依組件、設備類型、企業規模及部署模式分類

End User Computing Market by Component, Device Type, Enterprise Size, Deployment Type - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 183 Pages | 商品交期: 最快1-2個工作天內

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預計到 2025 年，終端用戶計算市場價值將達到 133.4 億美元，到 2026 年將成長至 146.3 億美元，到 2032 年將達到 275.4 億美元，複合年成長率為 10.90%。

主要市場統計數據
基準年 2025 133.4億美元
預計年份：2026年 146.3億美元
預測年份 2032 275.4億美元
複合年成長率 (%) 10.90%

深入剖析設備多樣化、混合辦公和安全優先架構如何改變現代終端用戶運算策略。

終端用戶計算持續快速發展，其發展受到位置柔軟性、設備多樣性以及對網路安全和用戶體驗日益成長的關注等因素的共同影響。企業正在應對一個傳統桌面模式與行動裝置、精簡型用戶端、穿戴式裝置和基於雲端的虛擬桌面並存的環境，所有這些都需要整合的管理方法和強大的安全架構。鑑於這些趨勢，相關人員需要將傳統的終端管理方法與現代的身份主導控制和高度靈活的部署模型相協調，以在保持生產力的同時減少營運摩擦。

關鍵因素的策略整合正在迅速改變整個組織的端點管理、安全架構和服務交付模式。

終端用戶運算環境正經歷一場變革，多種因素共同作用，改變了企業交付終端服務和管理用戶生產力的方式。首先，混合辦公模式已成為既定常態，推動架構朝向雲端管理服務、虛擬桌面和行動優先支援框架轉型，從而減少對集中式辦公室的依賴。因此，IT 團隊正在加速採用能夠提供一致使用者體驗的解決方案，無論使用者身處何地，同時增強遠端支援和編配能力，以管理分散式終端。

對 2025 年關稅措施將如何影響企業採購趨勢、供應鏈策略和設備生命週期管理進行實證評估。

2025年起實施的關稅累積效應將持續增加硬體採購、組件採購以及整個全球供應鏈的複雜性，因此需要在採購、設計和供應商合作方面進行策略調整。關稅體系影響關鍵組件和成品，推高了硬體的實際採購成本，並擾亂了採購計畫。這反過來又會影響更新周期和翻新策略。由於交貨週期縮短，許多組織已透過延長產品生命週期、優先考慮維修和翻新計劃以及重新評估總體擁有成本 (TCO) 來應對，以維持營運的連續性。

對組件、設備、部署模式和企業級細分進行詳細分析，以明確現代終端策略的獨特需求。

要了解終端用戶運算，必須詳細了解市場如何按組件、設備類型、部署模式和企業規模進行細分，因為這些維度決定了不同的技術和服務需求。從元件角度來看，市場由硬體、服務和軟體組成，其中服務部分又細分為託管服務和支援服務。這種細分凸顯了一個現實：許多組織將生命週期和營運責任外包，同時保留對核心軟體功能的策略控制權。

本研究從區域觀點檢視了不同的監管環境、供應商生態系統和基礎設施投資對終端選擇和部署策略的影響。

區域趨勢在塑造終端用戶運算策略方面發揮著至關重要的作用，不同地理市場在基礎設施、監管和人才獲取方面的優先事項各不相同。在美洲，許多組織優先採用基於雲端的管理和靈活的採購模式，以支援分散式辦公室。同時，對資料隱私和跨境資料流動的監管審查要求進行周密的架構規劃和合約保障。此外，美洲仍然存在著一個由服務供應商組成的密集生態系統，他們提供設備生命週期管理和託管支援服務，這為計量收費模式的試驗提供了便利。

對終端用戶計算競爭格局的供應商整合、夥伴關係形成和差異化因素進行策略評估。

終端用戶運算供應商格局呈現出硬體製造商、軟體供應商和服務公司融合的趨勢，其中夥伴關係和整合服務產品日益凸顯。硬體供應商正將業務拓展至訂閱和生命週期服務領域，以提供可預測的結果；軟體公司則專注於統一端點管理、遙測和零信任功能，以減輕客戶的營運負擔。另一方面，服務公司也在擴展其產品組合，涵蓋諮詢、部署和持續管理服務，並將技術融入基於使用量的模式，並專注於使用者體驗和安全性。

為領導者提供實用指南，指導他們採取即時和中期行動，以實現終​​端營運現代化、增強供應鏈韌性並改善使用者體驗。

產業領導者應採取務實且分階段的方式來實現終端用戶計算的現代化，首先要建立清晰的管治和可衡量的優先級，從而協調IT、安全和採購等各相關人員。首先，要建立一個以結果為導向的框架，優先考慮員工體驗、資料保護和營運彈性；然後，將現有能力與該框架進行比對，以識別關鍵差距。這個診斷步驟有助於將投資集中於能夠產生最大影響的領域，例如昇級終端遙測系統、整合管理主機以及自動化修補程式和策略工作流程。

對用於得出可操作見解的定性、檢驗主導調查方法進行透明的解釋，該方法不依賴預測的市場數據。

本執行摘要依據的研究採用混合方法，旨在提供嚴謹且與具體情境相關的最終用戶計算趨勢及其策略影響的洞見。研究的資訊來源包括與高級IT領導者、安全架構師、採購負責人和託管服務供應商(MSP) 的結構化訪談和定性討論，旨在了解他們的第一線經驗、決策標準和營運挑戰。此外，研究也針對供應商進行了有針對性的簡報會，以闡明其產品藍圖、夥伴關係策略和服務交付創新。

對實現彈性營運的策略結論進行了簡潔扼要的總結，重點在於管治、互通性和經驗主導的終端計畫。

總而言之，終端用戶計算的未來將取決於多種因素的相互作用，例如混合辦公模式的建立、設備的激增、日益成長的安全期望，以及以結果為導向而非以組件銷售為導向的服務模式的演變。採用整合管理平台、融入遙測主導營運並重組採購系統以強調柔軟性和供應商多樣性的組織，將更有能力在日益複雜的環境中保持生產力並降低風險。在應對日益多樣化的法規和不斷變化的貿易政策帶來的複雜壓力的同時，保持韌性和合規性需要嚴格的管治以及採購、法律和IT團隊之間更緊密的合作。

目錄

第1章：序言

第2章：調查方法

  • 調查設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查的前提
  • 研究限制

第3章執行摘要

  • 首席主管觀點
  • 市場規模和成長趨勢
  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 波特五力分析
  • PESTEL 分析
  • 市場展望
  • 上市策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會映射
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

第8章 終端用戶計算市場：依組件分類

  • 硬體
  • 服務
    • 託管服務
    • 支援服務
  • 軟體

第9章 終端用戶計算市場：依設備類型分類

  • 桌上型電腦
  • 筆記型電腦
  • 行動裝置
  • 精簡型用戶端

第10章 終端用戶計算市場：依企業規模分類

  • 主要企業
  • 小型企業

第11章 終端用戶計算市場：依部署類型分類

  • 雲
    • 私有雲端
    • 公共雲端
  • 混合
  • 現場

第12章 終端用戶計算市場：依地區分類

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第13章 終端使用者計算市場：依組別分類

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第14章 終端用戶計算市場：依國家分類

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第15章：美國終端用戶計算市場

第16章：中國終端用戶計算市場

第17章 競爭格局

  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，2025 年
  • Amazon Web Services, Inc.
  • Cisco Systems, Inc.
  • Cloud Software Group, Inc.
  • Dell Technologies Inc.
  • Fujitsu Limited
  • Google LLC
  • HCL Technologies Limited
  • Infosys Limited
  • International Business Machines Corporation
  • Microsoft Corporation
  • Nutanix, Inc.
  • Oracle Corporation
  • Tech Mahindra Limited
  • VMware, Inc.
Product Code: MRR-2D6E676CAAEA

The End User Computing Market was valued at USD 13.34 billion in 2025 and is projected to grow to USD 14.63 billion in 2026, with a CAGR of 10.90%, reaching USD 27.54 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 13.34 billion
Estimated Year [2026] USD 14.63 billion
Forecast Year [2032] USD 27.54 billion
CAGR (%) 10.90%

An incisive overview of how device diversity, hybrid work, and security-first architectures are reshaping modern end user computing strategies

End user computing continues to evolve at pace, shaped by the intersection of work location flexibility, device diversity, and a renewed focus on cybersecurity and user experience. Organizations are navigating a landscape where traditional desktop paradigms coexist with mobile devices, thin clients, wearables, and cloud-delivered virtual desktops, all of which require integrated management approaches and resilient security architectures. Given these dynamics, stakeholders must reconcile legacy endpoint management practices with modern, identity-driven controls and adaptable deployment models to sustain productivity while reducing operational friction.

In addition, the rise of platform-level capabilities-such as endpoint analytics, unified endpoint management (UEM), and zero trust frameworks-has reframed the conversation from simply provisioning hardware and software to orchestrating an end-to-end digital employee experience. This shift demands closer collaboration between infrastructure, security, and application teams, and it privileges solutions that offer telemetry-driven optimization, seamless patching, and policy enforcement across heterogeneous environments. As a result, decision-makers are prioritizing integrated stacks that reduce complexity and improve visibility across device estates.

Finally, beyond technology choices, successful end user computing strategies now balance cost efficiency with agility, emphasizing lifecycle management, services-based consumption, and supplier ecosystems that can support rapid change. Consequently, leaders who align governance, procurement, and IT operations with a coherent EUC vision are better positioned to enable secure, productive work for a distributed workforce while maintaining control over risk and compliance.

A strategic synthesis of the major forces driving rapid change in endpoint management, security architectures, and service delivery models across organizations

The end user computing landscape has experienced transformative shifts driven by several converging forces that are altering how organizations deliver endpoint services and manage user productivity. First, hybrid work models have hardened into long-term operating norms, prompting an architectural pivot toward cloud-managed services, virtual desktops, and mobile-first support frameworks that reduce reliance on centralized offices. Consequently, IT teams have accelerated adoption of solutions that deliver consistent user experiences irrespective of location, while simultaneously bolstering remote support and orchestration capabilities to handle distributed endpoints.

Concurrently, security paradigms have evolved from perimeter-centric controls to identity- and device-aware approaches. Zero trust principles, stronger endpoint detection and response, and continuous authentication have increasingly become foundational requirements rather than optional enhancements. This transition has heightened the demand for telemetry-rich endpoint platforms that enable real-time risk-based decision-making and automated remediation. Alongside this, service delivery models have shifted toward managed and support-led engagements, with industry players offering bundled services that encompass device provisioning, lifecycle management, and ongoing operational support to reduce in-house complexity.

Moreover, the infusion of artificial intelligence and edge compute into client devices and management consoles is enabling predictive maintenance, behavior-based insights, and dynamic policy adjustments. These capabilities are gradually transforming reactive helpdesk models into proactive experience management programs. Taken together, the shifts toward cloud-native management, security-first design, and intelligent operations are redefining vendor value propositions and raising the bar for enterprise adoption decisions, placing a premium on interoperability, extensibility, and demonstrable outcomes.

An evidence-based assessment of how the 2025 tariff measures have reshaped procurement dynamics, supply chain strategies, and device lifecycle management across enterprises

The cumulative impact of tariffs introduced in 2025 has added a persistent layer of complexity across hardware procurement, component sourcing, and global supply chains, necessitating strategic adjustments across procurement, design, and vendor engagement. Tariff regimes that affect core components and finished devices increase the effective landed cost of hardware and create volatile procurement timelines, which in turn influence replacement cycles and refresh strategies. As procurement windows tightened, many organizations responded by stretching lifecycles, prioritizing repair and refurbishment programs, and re-evaluating total cost of ownership to maintain operational continuity.

Additionally, the tariffs have accentuated the importance of supply chain visibility and alternate sourcing strategies. Organizations have placed greater emphasis on supplier diversification, nearshoring, and regional assembly options to mitigate exposure to tariff-sensitive routes. These shifts have also reinforced the value of flexible procurement models such as device-as-a-service and managed lifecycle programs, because they can absorb cost variability and provide predictable budgeting mechanisms. In parallel, service providers have adapted by recalibrating contract terms, offering fixed-price support offerings, and redesigning supply agreements to protect enterprise customers from abrupt cost escalations.

Finally, tariff-driven disruption has catalyzed heightened collaboration between procurement, legal, and IT security teams to ensure compliance while preserving performance and resilience. Trade compliance, customs classification, and harmonized tariff code management have become operational priorities, and organizations have invested in tooling and expertise to automate classification and duty optimization. Through these measures, many enterprises seek to balance fiscal discipline with the need to maintain secure, modern endpoint estates that underpin productivity in a distributed, hybrid work environment.

A nuanced exploration of component, device, deployment, and enterprise-size segmentation that clarifies distinct requirements for modern endpoint strategies

Understanding end user computing requires a granular view of how markets are segmented by component, device type, deployment model, and enterprise scale, as these axes drive distinct technology and service requirements. Based on component, the market is comprised of hardware, services, and software, with the services segment further differentiated into managed services and support services. This delineation highlights how many organizations are outsourcing lifecycle and operational responsibilities while retaining strategic control over core software capabilities.

Based on device type, the ecosystem spans desktop personal computers, laptops, mobile devices, and thin clients, with mobile devices extending to wearable devices. Device form factors shape management and security requirements, where thin clients and virtual endpoints emphasize centralized compute and tight policy control, while mobile and wearable endpoints demand robust network resiliency, endpoint protection tailored for intermittent connectivity, and user-centric authentication mechanisms. These differences necessitate distinct support models and telemetry frameworks.

Based on deployment type, offerings are delivered across cloud, hybrid, and on-premises models, and the cloud category itself is split into private cloud and public cloud options. Deployment choice influences integration patterns, data residency considerations, and operational staffing models; hybrid approaches are particularly common where enterprises seek to balance latency-sensitive workloads with cloud-native management benefits. Based on enterprise size, market dynamics differ between large enterprises and small and medium enterprises, with scale impacting purchasing power, customization needs, and the degree to which organizations rely on third-party managed services to compensate for in-house expertise gaps. Taken together, these segmentation lenses provide a practical framework for aligning solution design, service delivery, and governance to the unique needs of each organizational cohort.

A regional lens on how differing regulatory landscapes, supplier ecosystems, and infrastructure investments influence endpoint choices and deployment strategies

Regional dynamics play a pivotal role in shaping end user computing strategies, with geographic markets exhibiting differentiated priorities across infrastructure, regulation, and talent availability. In the Americas, organizations frequently prioritize rapid adoption of cloud-delivered management and flexible procurement models to support dispersed workforces, while regulatory focus on data privacy and cross-border data flows requires careful architectural planning and contractual safeguards. The Americas also continue to host a dense ecosystem of service providers offering device lifecycle and managed support services, which facilitates experimentation with consumption-based models.

In Europe, Middle East & Africa, regulatory complexity and diverse national compliance regimes elevate the importance of data residency, encryption, and auditability; as a result, many organizations in this region lean toward hybrid and private cloud deployments to retain control over sensitive workloads. Additionally, the region's heterogeneous market structure makes local partnerships and channel capabilities critical for successful rollouts, particularly when addressing language, localization, and support expectations. Meanwhile, Asia-Pacific demonstrates a strong appetite for mobile-first and cloud-native approaches, driven by rapid digital transformation initiatives and substantial investments in edge compute and telecommunications infrastructure; organizations in the region often adopt innovative device form factors and integrate local manufacturing and assembly capabilities into their sourcing strategies.

Across all regions, talent constraints, supplier ecosystems, and regulatory shifts require that leaders tailor their vendor selections and deployment approaches to regional circumstances. Strategic buyers increasingly consider regional risk assessments, supplier resiliency, and compliance profiles when designing global endpoint programs, thereby ensuring more predictable operations and better alignment with local expectations and statutory requirements.

A strategic assessment of vendor convergence, partnership formations, and differentiation factors that are shaping the competitive fabric of end user computing

The vendor landscape for end user computing is characterized by convergence between hardware makers, software providers, and service firms, with partnerships and integrated offerings gaining prominence. Hardware vendors are expanding into subscription and lifecycle services to provide predictable outcomes, while software companies emphasize unified endpoint management, telemetry, and zero trust capabilities that reduce operational overhead for customers. Service organizations, in turn, have broadened their portfolios to include advisory, implementation, and ongoing managed services that wrap technology into consumption models focused on experience and security.

Competitive differentiation increasingly centers on interoperability and a demonstrable track record of supporting hybrid estates at scale. Vendors that offer open APIs, robust integration with identity providers, and tightly integrated security toolchains tend to have stronger enterprise traction, because these features simplify orchestration and policy enforcement across heterogeneous environments. Moreover, alliances between cloud providers and device manufacturers are creating new form factors and managed offerings that blur traditional vendor boundaries, compelling legacy players to rethink product roadmaps and partnership strategies.

Finally, innovation investment remains focused on telemetry-driven analytics, automation for support workflows, and contextual security controls that reduce false positives while improving remediation speed. Vendors who can couple these capabilities with flexible commercial models and strong channel enablement will be best positioned to capture enterprise engagements that prioritize operational simplicity, secure access, and continuous improvement of the digital employee experience.

A practical playbook of immediate and medium-term actions for leaders to modernize endpoint operations, strengthen supply resilience, and improve user experience

Industry leaders should adopt a pragmatic, phased approach to modernizing end user computing, beginning with clear governance and measurable priorities that align IT, security, and procurement stakeholders. First, establish an outcomes-focused framework that prioritizes employee experience, data protection, and operational resiliency, and then map current capabilities against that framework to identify critical gaps. This diagnostic step enables targeted investments where they will generate the greatest impact, such as upgrading endpoint telemetry, consolidating management consoles, or automating patch and policy workflows.

Next, diversify procurement and sourcing strategies to reduce exposure to regional shocks and trade-related cost variability. Pursue a mix of supply partners, consider nearshore assembly and regional distribution hubs, and evaluate service-led acquisition models that can mitigate capital expenditure volatility. At the same time, strengthen trade compliance and customs classification processes to minimize tariff-related surprises and to accelerate import/export workflows. Simultaneously, invest in security frameworks built on zero trust principles, runtime protection, and identity-based access controls to ensure that distributed endpoints remain resilient to evolving threats.

Finally, foster a culture of continuous improvement by leveraging telemetry and analytics to drive proactive support and experience optimization. Train service desks to use predictive maintenance insights, realign vendor contracts toward outcome-based KPIs, and scale pilot programs that test new device form factors or deployment patterns before broad rollout. By combining disciplined governance, diversified sourcing, and data-driven operations, leaders can reduce risk, improve user satisfaction, and realize scalable improvements in endpoint performance and security.

A transparent description of the qualitative and validation-driven research approaches used to derive actionable insights without relying on projected market figures

The research underpinning this executive summary integrates a mixed-methods approach designed to deliver rigorous, context-rich insights into end user computing trends and strategic implications. Primary inputs included structured interviews and qualitative discussions with senior IT leaders, security architects, procurement officers, and managed service providers to capture first-hand experiences, decision criteria, and operational challenges. These engagements were complemented by targeted vendor briefings that illuminated product roadmaps, partnership strategies, and service delivery innovations.

Secondary analysis drew on public technical documentation, regulatory guidance, industry conference proceedings, and peer-reviewed technology assessments to validate themes identified during primary research. Data triangulation and cross-validation methods were applied to ensure consistency across sources, with attention paid to regional regulatory differences, supply chain disclosures, and published product capabilities. Scenario analysis and sensitivity testing were used to examine how shifts in procurement, regulatory, and geopolitical factors could influence strategic choices without producing quantitative market forecasts.

Throughout the research process, findings were peer-reviewed by subject matter experts and practitioners to ground recommendations in operational reality. The methodological emphasis on qualitative depth, coupled with targeted quantitative validation where appropriate, ensures that conclusions are actionable and relevant for decision-makers seeking to design robust, future-ready end user computing programs.

A concise synthesis of strategic conclusions that emphasize governance, interoperability, and experience-driven endpoint programs for resilient operations

In conclusion, the trajectory of end user computing is defined by the interplay of hybrid work norms, device proliferation, heightened security expectations, and evolving service models that prioritize outcomes over component sales. Organizations that adopt integrated management platforms, embrace telemetry-led operations, and reconfigure procurement to favor flexibility and supplier diversity will be better positioned to sustain productivity and reduce risk in an increasingly complex environment. The combined pressures of regulatory variation and trade policy shifts require disciplined governance and closer collaboration between procurement, legal, and IT teams to maintain resilience and compliance.

Moreover, vendors and service providers that emphasize interoperability, robust security integration, and outcome-based commercial models will increasingly become preferred partners for enterprise customers. By focusing on experience, automation, and strategic partnerships, organizations can transform end user computing from a cost center into a competitive enabler that supports innovation and workforce agility. Ultimately, the most successful programs will be those that treat endpoint strategy as a cross-functional initiative, leveraging insight-driven operations and adaptable sourcing to deliver secure, seamless, and efficient employee experiences.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Definition
  • 1.3. Market Segmentation & Coverage
  • 1.4. Years Considered for the Study
  • 1.5. Currency Considered for the Study
  • 1.6. Language Considered for the Study
  • 1.7. Key Stakeholders

2. Research Methodology

  • 2.1. Introduction
  • 2.2. Research Design
    • 2.2.1. Primary Research
    • 2.2.2. Secondary Research
  • 2.3. Research Framework
    • 2.3.1. Qualitative Analysis
    • 2.3.2. Quantitative Analysis
  • 2.4. Market Size Estimation
    • 2.4.1. Top-Down Approach
    • 2.4.2. Bottom-Up Approach
  • 2.5. Data Triangulation
  • 2.6. Research Outcomes
  • 2.7. Research Assumptions
  • 2.8. Research Limitations

3. Executive Summary

  • 3.1. Introduction
  • 3.2. CXO Perspective
  • 3.3. Market Size & Growth Trends
  • 3.4. Market Share Analysis, 2025
  • 3.5. FPNV Positioning Matrix, 2025
  • 3.6. New Revenue Opportunities
  • 3.7. Next-Generation Business Models
  • 3.8. Industry Roadmap

4. Market Overview

  • 4.1. Introduction
  • 4.2. Industry Ecosystem & Value Chain Analysis
    • 4.2.1. Supply-Side Analysis
    • 4.2.2. Demand-Side Analysis
    • 4.2.3. Stakeholder Analysis
  • 4.3. Porter's Five Forces Analysis
  • 4.4. PESTLE Analysis
  • 4.5. Market Outlook
    • 4.5.1. Near-Term Market Outlook (0-2 Years)
    • 4.5.2. Medium-Term Market Outlook (3-5 Years)
    • 4.5.3. Long-Term Market Outlook (5-10 Years)
  • 4.6. Go-to-Market Strategy

5. Market Insights

  • 5.1. Consumer Insights & End-User Perspective
  • 5.2. Consumer Experience Benchmarking
  • 5.3. Opportunity Mapping
  • 5.4. Distribution Channel Analysis
  • 5.5. Pricing Trend Analysis
  • 5.6. Regulatory Compliance & Standards Framework
  • 5.7. ESG & Sustainability Analysis
  • 5.8. Disruption & Risk Scenarios
  • 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. End User Computing Market, by Component

  • 8.1. Hardware
  • 8.2. Services
    • 8.2.1. Managed Services
    • 8.2.2. Support Services
  • 8.3. Software

9. End User Computing Market, by Device Type

  • 9.1. Desktop Pc
  • 9.2. Laptop
  • 9.3. Mobile Device
  • 9.4. Thin Client

10. End User Computing Market, by Enterprise Size

  • 10.1. Large Enterprise
  • 10.2. Small And Medium Enterprise

11. End User Computing Market, by Deployment Type

  • 11.1. Cloud
    • 11.1.1. Private Cloud
    • 11.1.2. Public Cloud
  • 11.2. Hybrid
  • 11.3. On-Premises

12. End User Computing Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. End User Computing Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. End User Computing Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. United States End User Computing Market

16. China End User Computing Market

17. Competitive Landscape

  • 17.1. Market Concentration Analysis, 2025
    • 17.1.1. Concentration Ratio (CR)
    • 17.1.2. Herfindahl Hirschman Index (HHI)
  • 17.2. Recent Developments & Impact Analysis, 2025
  • 17.3. Product Portfolio Analysis, 2025
  • 17.4. Benchmarking Analysis, 2025
  • 17.5. Amazon Web Services, Inc.
  • 17.6. Cisco Systems, Inc.
  • 17.7. Cloud Software Group, Inc.
  • 17.8. Dell Technologies Inc.
  • 17.9. Fujitsu Limited
  • 17.10. Google LLC
  • 17.11. HCL Technologies Limited
  • 17.12. Infosys Limited
  • 17.13. International Business Machines Corporation
  • 17.14. Microsoft Corporation
  • 17.15. Nutanix, Inc.
  • 17.16. Oracle Corporation
  • 17.17. Tech Mahindra Limited
  • 17.18. VMware, Inc.

LIST OF FIGURES

  • FIGURE 1. GLOBAL END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL END USER COMPUTING MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 3. GLOBAL END USER COMPUTING MARKET, FPNV POSITIONING MATRIX, 2025
  • FIGURE 4. GLOBAL END USER COMPUTING MARKET SIZE, BY COMPONENT, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 5. GLOBAL END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 7. GLOBAL END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL END USER COMPUTING MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 9. GLOBAL END USER COMPUTING MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL END USER COMPUTING MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 11. UNITED STATES END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 12. CHINA END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

  • TABLE 1. GLOBAL END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL END USER COMPUTING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL END USER COMPUTING MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL END USER COMPUTING MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL END USER COMPUTING MARKET SIZE, BY SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL END USER COMPUTING MARKET SIZE, BY SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL END USER COMPUTING MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL END USER COMPUTING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL END USER COMPUTING MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL END USER COMPUTING MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL END USER COMPUTING MARKET SIZE, BY SUPPORT SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL END USER COMPUTING MARKET SIZE, BY SUPPORT SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL END USER COMPUTING MARKET SIZE, BY SUPPORT SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL END USER COMPUTING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL END USER COMPUTING MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL END USER COMPUTING MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL END USER COMPUTING MARKET SIZE, BY DESKTOP PC, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL END USER COMPUTING MARKET SIZE, BY DESKTOP PC, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL END USER COMPUTING MARKET SIZE, BY DESKTOP PC, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL END USER COMPUTING MARKET SIZE, BY LAPTOP, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL END USER COMPUTING MARKET SIZE, BY LAPTOP, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL END USER COMPUTING MARKET SIZE, BY LAPTOP, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL END USER COMPUTING MARKET SIZE, BY MOBILE DEVICE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL END USER COMPUTING MARKET SIZE, BY MOBILE DEVICE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL END USER COMPUTING MARKET SIZE, BY MOBILE DEVICE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL END USER COMPUTING MARKET SIZE, BY THIN CLIENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL END USER COMPUTING MARKET SIZE, BY THIN CLIENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL END USER COMPUTING MARKET SIZE, BY THIN CLIENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL END USER COMPUTING MARKET SIZE, BY LARGE ENTERPRISE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL END USER COMPUTING MARKET SIZE, BY LARGE ENTERPRISE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL END USER COMPUTING MARKET SIZE, BY LARGE ENTERPRISE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL END USER COMPUTING MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL END USER COMPUTING MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL END USER COMPUTING MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL END USER COMPUTING MARKET SIZE, BY CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL END USER COMPUTING MARKET SIZE, BY CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL END USER COMPUTING MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL END USER COMPUTING MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL END USER COMPUTING MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 46. GLOBAL END USER COMPUTING MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 47. GLOBAL END USER COMPUTING MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 48. GLOBAL END USER COMPUTING MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 49. GLOBAL END USER COMPUTING MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 50. GLOBAL END USER COMPUTING MARKET SIZE, BY HYBRID, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 51. GLOBAL END USER COMPUTING MARKET SIZE, BY HYBRID, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 52. GLOBAL END USER COMPUTING MARKET SIZE, BY HYBRID, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 53. GLOBAL END USER COMPUTING MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 54. GLOBAL END USER COMPUTING MARKET SIZE, BY ON-PREMISES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 55. GLOBAL END USER COMPUTING MARKET SIZE, BY ON-PREMISES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 56. GLOBAL END USER COMPUTING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 57. AMERICAS END USER COMPUTING MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 58. AMERICAS END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 59. AMERICAS END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 60. AMERICAS END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 61. AMERICAS END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 62. AMERICAS END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 63. AMERICAS END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 64. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 65. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 66. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 67. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 68. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 69. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 70. NORTH AMERICA END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 71. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 72. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 73. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 74. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 75. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 76. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 77. LATIN AMERICA END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 78. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 79. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 80. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 81. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 82. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 83. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 84. EUROPE, MIDDLE EAST & AFRICA END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 85. EUROPE END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 86. EUROPE END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 87. EUROPE END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 88. EUROPE END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 89. EUROPE END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 90. EUROPE END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 91. EUROPE END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 92. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 93. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 94. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 95. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 96. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 97. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 98. MIDDLE EAST END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 99. AFRICA END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 100. AFRICA END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 101. AFRICA END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 102. AFRICA END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 103. AFRICA END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 104. AFRICA END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 105. AFRICA END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 106. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 107. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 108. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 109. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 110. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 111. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 112. ASIA-PACIFIC END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 113. GLOBAL END USER COMPUTING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 114. ASEAN END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 115. ASEAN END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 116. ASEAN END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 117. ASEAN END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 118. ASEAN END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 119. ASEAN END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 120. ASEAN END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 121. GCC END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 122. GCC END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 123. GCC END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 124. GCC END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 125. GCC END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 126. GCC END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 127. GCC END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 128. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 129. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 130. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 131. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 132. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 133. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 134. EUROPEAN UNION END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 135. BRICS END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 136. BRICS END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 137. BRICS END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 138. BRICS END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 139. BRICS END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 140. BRICS END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 141. BRICS END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 142. G7 END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 143. G7 END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 144. G7 END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 145. G7 END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 146. G7 END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 147. G7 END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 148. G7 END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 149. NATO END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 150. NATO END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 151. NATO END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 152. NATO END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 153. NATO END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 154. NATO END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 155. NATO END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 156. GLOBAL END USER COMPUTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 157. UNITED STATES END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 158. UNITED STATES END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 159. UNITED STATES END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 160. UNITED STATES END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 161. UNITED STATES END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 162. UNITED STATES END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 163. UNITED STATES END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)
  • TABLE 164. CHINA END USER COMPUTING MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 165. CHINA END USER COMPUTING MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 166. CHINA END USER COMPUTING MARKET SIZE, BY SERVICES, 2018-2032 (USD MILLION)
  • TABLE 167. CHINA END USER COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 168. CHINA END USER COMPUTING MARKET SIZE, BY ENTERPRISE SIZE, 2018-2032 (USD MILLION)
  • TABLE 169. CHINA END USER COMPUTING MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2032 (USD MILLION)
  • TABLE 170. CHINA END USER COMPUTING MARKET SIZE, BY CLOUD, 2018-2032 (USD MILLION)