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市場調查報告書
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1995318

連網型設備分析市場：依產品、部署方式及最終用戶產業分類－2026-2032年全球預測

Connected Device Analytics Market by Offering, Deployment Mode, End User Industry - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 193 Pages | 商品交期: 最快1-2個工作天內

價格

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預計到 2025 年，連網型設備分析市場價值將達到 423.9 億美元，到 2026 年將成長至 524.1 億美元，到 2032 年將達到 1920.4 億美元，年複合成長率為 24.08%。

主要市場統計數據
基準年 2025 423.9億美元
預計年份：2026年 524.1億美元
預測年份 2032 1920.4億美元
複合年成長率 (%) 24.08%

簡化連網型設備分析的部署：策略重要性、不斷發展的能力、部署者以及決策者面臨的管理挑戰

連網型設備分析已從一項小眾技術發展成為營運配備感測器的複雜生態系統的企業的核心策略資產。早期應用主要集中於預測性維護和車輛追蹤等孤立用例，而如今，跨職能整合至關重要，分析結果將為產品藍圖、收入模式和客戶體驗提供資訊支援。本概述旨在為企業主管提供業務背景，清楚闡述基於連網型設備的分析為何正在影響營運、研發和市場推廣等各個環節的策略決策。

資料架構、邊緣運算、隱私法規和跨產業融合的變革性變化如何重新定義分析策略和投資回報率預期。

連網型設備分析的格局正受到多項結構性變革的重塑，這些變革涵蓋技術、監管和商業性等多個面向。在架構層面，邊緣運算和聯邦分析透過降低延遲和減少原始資料的傳輸，在不影響分析深度的前提下，實現了更接近設備的即時決策。同時，模型效率和設備端推理技術的進步正在改變集中式和分散式處理之間的平衡，即使在資源受限的硬體環境中也能獲得更豐富的洞察。

評估 2025 年美國關稅對供應鏈、零件定價、供應商策略和跨產業下游分析實施的累積影響。

2025年關稅的實施產生了一系列複雜的下游影響，遠不止於直接採購成本。關稅調整促使企業透過零件多元化和區域採購來應對貿易政策波動風險，從而改變了供應鏈的決策方式。因此，採購前置作業時間和供應商選擇週期均延長，迫使分析團隊將供應側的波動性納入預測模型和情境分析中。

透過利用關鍵的市場區隔洞察，揭示不同產品、部署模式和產業之間的不同部署模式，我們可以製定有針對性的產品和市場發布策略。

細分洞察揭示了不同交付模式、部署方式和最終用戶產業在採納、價值取得和實施風險方面的差異。基於交付模式，市場被分為兩類：「服務」和「軟體」。服務主導方法傾向於透過託管整合和專業知識來加速價值實現，而軟體主導方法則強調透過可重複使用元件實現擴充性和產品差異化。客製化服務和軟體包之間的權衡會影響整體擁有成本 (TCO) 以及內部團隊建立能力的速度。

對美洲、歐洲、中東和非洲以及亞太地區的基礎設施準備、監管複雜性和夥伴關係生態系統的關鍵區域見解。

區域趨勢影響部署的經濟效益、夥伴關係的性質以及企業必須履行的監管義務。在美洲，企業負責人傾向於採用雲端原生架構和託管服務來加速部署，但監管監督和州級隱私保護措施增加了複雜性，並要求嚴格的資料管治。同時，歐洲、中東和非洲 (EMEA) 地區的監管和基礎設施成熟度水準參差不齊。在該地區營運的企業必須使其分析架構與嚴格的資料保護標準和特定市場的連接環境相協調。

從公司層級進行策略觀察，重點放在該領域主要企業的競爭定位、夥伴關係趨勢、投資重點和差異化能力。

企業級趨勢揭示了主要供應商如何透過平台廣度、垂直產業專長和生態系統編配實現差異化。一些供應商專注於涵蓋設備連接、資料管理和分析的端到端平台，將自身定位為尋求整合技術堆疊的組織的一站式解決方案提供者。另一些供應商則專注於模組化軟體元件和專業領域模型，使合作夥伴和客戶能夠為其特定用例建立最佳架構。

為行業領導者提供實用建議，以透過管治、架構、人才和生態系統編配來加速從互聯設備分析中創造價值。

產業領導者應推動整合式方法，在降低技術和監管風險的同時，加速實現商業性價值。首先，建立管治層，明確資料所有權、存取控制和合規性查核點。這項管治基礎能夠減少下游摩擦，加速可靠的資料共用。其次，採用模組化架構，使團隊能夠根據延遲、主權和彈性需求，靈活組合雲端和本地部署的資源。

高度透明的調查方法，解釋了資料來源、分析方法、檢驗程序和品管，以確保分析的嚴謹性和可重複性。

本研究採用結構化且可重複的調查方法，結合對關鍵相關人員的訪談、技術架構審查以及對公開文件和監管指南的整合，建構了嚴謹的依證。研究重點包括與設備製造、系統整合和企業分析領域的負責人進行對話，以了解實際運作、常見故障和成功因素。隨後，將這些定性資訊與平台功能、互通性通訊協定和部署模式的技術評估結果進行交叉比對。

這是一份權威的綜合分析報告，它提取了戰略見解、風險考慮和優先領域，旨在幫助組織從連網型設備分析中獲得永續的競爭優勢。

這些發現凸顯了一個明確的策略需求：連網型設備分析必須被視為一項可配置的功能，它融合了模組化架構、健全的管治和行業特定的專業知識。採用靈活架構並納入隱私保護控制措施的組織不僅可以降低營運風險，還能獲得更豐富、更具說服力的洞見。此外，還需要採購、工程和分析團隊之間的跨職能協作，以應對與關稅和區域監管趨勢相關的供應鏈變化。

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章連網型設備分析市場：依產品/服務分類

  • 服務
  • 軟體

第9章連網型設備市場分析：依部署模式分類

  • 雲
  • 現場

第10章連網型設備分析市場：依最終用戶產業分類

  • 家用電子電器
  • 衛生保健
  • 製造業
  • 零售
  • 運輸

第11章連網型設備分析市場：按地區分類

  • 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12章連網型設備分析市場：依組別分類

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

第13章連網型設備分析市場：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14章：美國連網型設備分析市場

第15章：中國連網型設備分析市場

第16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
  • Adobe Inc.
  • Amazon Web Services, Inc.
  • Arundo Analytics, Inc.
  • Atom by NTT Data
  • Cisco Systems, Inc.
  • Cloudera, Inc. by Clayton, Dubilier & Rice and KKR
  • Datadog, Inc.
  • Exosite LLC
  • General Electric Company
  • Google LLC by Alphabet Inc.
  • Guavus, Inc.
  • Hewlett Packard Enterprise Development LP
  • Infor
  • International Business Machines Corporation
  • MathWorks, Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • PTC Inc.
  • QlikTech International AB
  • Salesforce, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Software AG
  • Splunk Inc.
  • Teradata Corporation
Product Code: MRR-7E6E132BE8E6

The Connected Device Analytics Market was valued at USD 42.39 billion in 2025 and is projected to grow to USD 52.41 billion in 2026, with a CAGR of 24.08%, reaching USD 192.04 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 42.39 billion
Estimated Year [2026] USD 52.41 billion
Forecast Year [2032] USD 192.04 billion
CAGR (%) 24.08%

A concise introduction to connected device analytics outlining strategic importance, evolving capabilities, adoption drivers, and the executive agenda for decision-makers

Connected device analytics has migrated from a niche technical capability to a central strategic asset for organizations that operate complex, sensor-equipped ecosystems. Early implementations focused on isolated use cases such as predictive maintenance or fleet tracking, but the current environment demands cross-functional integration where analytics inform product roadmaps, revenue models, and customer experiences. This introduction frames the business context for executives: it articulates why analytics built on connected devices now influence strategic choices across operations, R&D, and go-to-market activities.

The value proposition rests on three interdependent pillars: data fidelity and timeliness, inferential analytics that generate actionable recommendations, and governance frameworks that ensure privacy and regulatory compliance. As the volume and heterogeneity of device data expand, companies that prioritize architectural flexibility while enforcing rigorous data stewardship will derive more reliable insights. Consequently, leaders must align investment decisions with measurable lines of accountability and clear use-case prioritization.

To move from pilot to scale, organizations require a blend of technical capabilities, cross-functional collaboration, and executive sponsorship. This section outlines the landscape for decision-makers seeking to craft a repeatable approach to deployment, highlighting operational enablers and common obstacles that shape the journey from experimentation to sustained impact.

How transformative shifts in data architecture, edge computing, privacy regulation, and cross-industry convergence are redefining analytics strategies and ROI expectations

The landscape for connected device analytics is being reshaped by a handful of structural shifts that are simultaneously technological, regulatory, and commercial. Architecturally, edge computing and federated analytics are reducing latency and limiting raw data movement without forfeiting analytical depth, which enables real-time decisioning closer to devices. Meanwhile, advances in model efficiency and on-device inference allow richer insights inside constrained hardware environments, shifting the balance between centralized and distributed processing.

On the regulatory front, heightened data protection rules and sector-specific compliance regimes are forcing organizations to embed privacy-preserving techniques such as differential privacy and secure multiparty computation into analytics workflows. These measures increase implementation complexity but also create opportunities for trust-based differentiation when firms demonstrate transparent and auditable practices. Commercially, vendor ecosystems are consolidating around hybrid offerings that combine platform capabilities, domain-specific models, and managed services; this creates new partnership dynamics and makes interoperability a competitive criterion.

As a result of these transformative shifts, organizations must revisit assumptions about data ownership, latency tolerance, and vendor lock-in. Successful adopters will be those that map emerging technical patterns to clear business outcomes, establish robust governance, and design modular architectures capable of evolving alongside regulatory and market changes.

Assessing the cumulative impact of United States tariffs 2025 on supply chains, component pricing, vendor strategies, and downstream analytics implementations across industries

The introduction of tariffs in 2025 has produced a complex set of downstream effects that extend beyond immediate procurement costs. Tariff adjustments have altered supply chain decision-making by incentivizing component diversification and regional sourcing to manage exposure to trade policy volatility. In turn, procurement lead times and vendor qualification cycles have lengthened, requiring analytics teams to incorporate supply-side variability into their predictive models and scenario analyses.

Manufacturers and systems integrators have responded by reassessing bill-of-materials strategies and accelerating adoption of modular designs that can accommodate substitute components without undermining device performance. This design flexibility reduces the operational friction created by tariff-driven component shifts, but it also places greater emphasis on validation pipelines to ensure that analytics models remain accurate when instrumentation characteristics change. Furthermore, increased logistics complexity has elevated the value of operational analytics that synthesize supplier reliability, transportation risk, and regional compliance into procurement decisions.

Consequently, organizations must integrate trade-policy sensitivity into strategic roadmaps for connected device deployments. That means strengthening cross-functional coordination between procurement, engineering, and analytics to preserve continuity of service and insight quality when component sourcing evolves under tariff pressures.

Key segmentation insights revealing differentiated adoption patterns across offerings, deployment modes, and verticals to inform targeted product and go-to-market strategies

Segmentation insights reveal how adoption, value capture, and implementation risk vary across offering types, deployment approaches, and end-user industries. Based on Offering, market is studied across Services and Software, where services-led engagements tend to accelerate time-to-value through managed integrations and subject-matter expertise, while software-led approaches favor scalability and product differentiation through reusable components. The trade-off between custom services and packaged software influences total cost of ownership and the pace at which internal teams build capability.

Based on Deployment Mode, market is studied across Cloud and On Premise, and deployment choice typically aligns with latency needs, data sovereignty requirements, and existing infrastructure investments. Cloud deployments provide elasticity and ease of upgrades, but on-premise installations remain prevalent where regulatory or operational constraints demand local control. The interplay between cloud and on-premise strategies often results in hybrid architectures that balance agility with compliance.

Based on End User Industry, market is studied across Consumer Electronics, Healthcare, Manufacturing, Retail, and Transportation, and each vertical exhibits distinct priorities. Consumer electronics emphasizes product telemetry and user experience optimization, healthcare prioritizes data security and clinical validation, manufacturing focuses on uptime and process optimization, retail leverages analytics for inventory and customer behavior, and transportation concentrates on safety, routing, and regulatory reporting. Awareness of these segmentation dynamics enables focused product roadmaps, tailored sales motions, and differentiated service offerings that map to industry-specific KPIs.

Key regional insights into infrastructure readiness, regulatory complexity, and partnership ecosystems across the Americas, Europe, Middle East & Africa, and Asia-Pacific

Regional dynamics shape the economics of deployment, the nature of partnerships, and the regulatory obligations that organizations must manage. In the Americas, enterprise buyers often favor cloud-native architectures and managed services that accelerate rollout, while regulatory scrutiny and state-level privacy initiatives introduce complexity that requires disciplined data governance. Conversely, Europe, Middle East & Africa presents a mosaic of regulation and infrastructure maturity; organizations operating there must harmonize analytics architectures with stringent data protection standards and varying connectivity conditions across markets.

Asia-Pacific combines rapid adoption of sensor-rich applications with diverse regulatory environments and strong local vendor ecosystems. This region frequently leads in pragmatic deployments that prioritize cost-effective scale and supply-chain integration, but it also demands sensitivity to localization and interoperability with regionally prevalent platforms. Across all regions, proximity to manufacturing hubs, the concentration of domain expertise, and the presence of neutral third-party integrators influence the optimal partnership and deployment strategies.

Therefore, firms must develop regionally aware blueprints that translate global standards into localized implementations, balancing centralized governance with decentralized execution to meet stakeholder expectations and regulatory obligations effectively.

Strategic company-level observations spotlighting competitive positioning, partnership trends, investment focus, and differentiated capabilities among leading providers in the space

Company-level dynamics reveal how leading vendors differentiate through platform breadth, vertical expertise, and ecosystem orchestration. Some providers emphasize end-to-end platforms that subsume device connectivity, data management, and analytics, positioning themselves as single-vendor solutions for organizations seeking integrated stacks. Others focus on modular software components or specialized domain models that enable partners and customers to assemble best-of-breed architectures tailored to specific use cases.

Partnership strategies also vary; strategic alliances between connectivity providers, cloud hyperscalers, and domain specialists are increasingly common because they combine scale, data infrastructure, and applied expertise. Investment focus among companies often prioritizes improving model robustness, expanding device protocol support, and offering managed services to reduce customers' operational burden. Competitive positioning is therefore a function of technical differentiation, go-to-market alignment with vertical priorities, and the ability to demonstrate measurable operational improvements.

For procurement and strategy teams, understanding vendor roadmaps, support models, and integration patterns is critical when selecting partners that can evolve with the organization's needs. Vendor evaluation should emphasize interoperability, transparent pricing for service consumption, and demonstrated success in longitudinal deployments that preserve insight continuity as device fleets and business objectives change.

Actionable recommendations for industry leaders to accelerate value capture from connected device analytics through governance, architecture, talent, and ecosystem orchestration

Industry leaders should pursue an integrated agenda that accelerates commercial value while mitigating technical and regulatory risks. First, establish a governance layer that codifies data ownership, access controls, and compliance checkpoints; this governance foundation reduces downstream friction and accelerates trusted data sharing. Second, adopt an architecture that privileges modularity, enabling teams to combine cloud and on-premise elements based on latency, sovereignty, and resilience requirements.

Third, invest systematically in talent and operational processes that support model lifecycle management, including continuous validation, drift detection, and retraining pipelines. Complement internal capability development with strategic partnerships for specialized functions such as device certification, domain modeling, or managed orchestration. Fourth, align use-case prioritization with measurable business outcomes so that analytics initiatives connect to clear operational or revenue KPIs and generate stakeholder buy-in.

Finally, operationalize privacy-preserving techniques and transparent audit trails to build trust with customers and regulators. By sequencing these actions-governance, modular architecture, capability building, outcome alignment, and privacy assurance-organizations can move from isolated pilots to scalable programs that reliably deliver business impact.

Transparent research methodology explaining data sources, analytical approach, validation steps, and quality controls used to ensure rigor and reproducibility in analysis

The research employed a structured, reproducible methodology combining primary stakeholder interviews, technical architecture reviews, and synthesis of public filings and regulatory guidance to assemble a rigorous evidence base. Primary engagements included conversations with practitioners across device manufacturing, systems integration, and enterprise analytics functions to capture operational realities, common failure modes, and success factors. These qualitative inputs were triangulated with technical assessments of platform capabilities, interoperability protocols, and deployment patterns.

Analytical steps included mapping use cases to architectural patterns, evaluating data governance constructs against emerging regulatory frameworks, and assessing vendor positioning through capability and partnership lenses. Validation steps involved cross-checking practitioner claims against observable implementation artifacts, such as published case studies, integration documentation, and product release notes. Quality controls emphasized transparency of assumptions, reproducibility of analytical steps, and explicit acknowledgment of limitations where data granularity varied across regions or industries.

This approach ensures the analysis balances practitioner insights with technical verification, producing findings that are actionable for decision-makers while remaining transparent about sources and constraints.

Conclusive synthesis that distills strategic takeaways, risk considerations, and priority initiatives for organizations seeking durable advantages from connected device analytics

The body of evidence points to a clear strategic imperative: connected device analytics must be treated as a composable capability that blends modular architectures, disciplined governance, and targeted industry expertise. Organizations that adopt flexible architectures and embed privacy-preserving controls will not only reduce operational risk but also unlock richer, more defensible insights. Moreover, tariff-related supply chain shifts and regional regulatory dynamics require cross-functional coordination that aligns procurement, engineering, and analytics teams.

In operational terms, the path to durable advantage involves prioritizing use cases that offer clear operational uplift, building validation pipelines that preserve model fidelity as devices and components change, and selecting partners whose roadmaps align with long-term interoperability requirements. Executives should view analytics investments as ongoing capability building rather than one-off projects, committing to continuous improvement cycles and outcome-based governance.

In sum, the competitive frontier for connected device analytics is defined by those organizations that can turn heterogeneous device data into reliable operational decisions while maintaining compliance and adaptability in the face of shifting supply-chain and regulatory realities.

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. Connected Device Analytics Market, by Offering

  • 8.1. Services
  • 8.2. Software

9. Connected Device Analytics Market, by Deployment Mode

  • 9.1. Cloud
  • 9.2. On Premise

10. Connected Device Analytics Market, by End User Industry

  • 10.1. Consumer Electronics
  • 10.2. Healthcare
  • 10.3. Manufacturing
  • 10.4. Retail
  • 10.5. Transportation

11. Connected Device Analytics Market, by Region

  • 11.1. Americas
    • 11.1.1. North America
    • 11.1.2. Latin America
  • 11.2. Europe, Middle East & Africa
    • 11.2.1. Europe
    • 11.2.2. Middle East
    • 11.2.3. Africa
  • 11.3. Asia-Pacific

12. Connected Device Analytics Market, by Group

  • 12.1. ASEAN
  • 12.2. GCC
  • 12.3. European Union
  • 12.4. BRICS
  • 12.5. G7
  • 12.6. NATO

13. Connected Device Analytics Market, by Country

  • 13.1. United States
  • 13.2. Canada
  • 13.3. Mexico
  • 13.4. Brazil
  • 13.5. United Kingdom
  • 13.6. Germany
  • 13.7. France
  • 13.8. Russia
  • 13.9. Italy
  • 13.10. Spain
  • 13.11. China
  • 13.12. India
  • 13.13. Japan
  • 13.14. Australia
  • 13.15. South Korea

14. United States Connected Device Analytics Market

15. China Connected Device Analytics Market

16. Competitive Landscape

  • 16.1. Market Concentration Analysis, 2025
    • 16.1.1. Concentration Ratio (CR)
    • 16.1.2. Herfindahl Hirschman Index (HHI)
  • 16.2. Recent Developments & Impact Analysis, 2025
  • 16.3. Product Portfolio Analysis, 2025
  • 16.4. Benchmarking Analysis, 2025
  • 16.5. Adobe Inc.
  • 16.6. Amazon Web Services, Inc.
  • 16.7. Arundo Analytics, Inc.
  • 16.8. Atom by NTT Data
  • 16.9. Cisco Systems, Inc.
  • 16.10. Cloudera, Inc. by Clayton, Dubilier & Rice and KKR
  • 16.11. Datadog, Inc.
  • 16.12. Exosite LLC
  • 16.13. General Electric Company
  • 16.14. Google LLC by Alphabet Inc.
  • 16.15. Guavus, Inc.
  • 16.16. Hewlett Packard Enterprise Development LP
  • 16.17. Infor
  • 16.18. International Business Machines Corporation
  • 16.19. MathWorks, Inc.
  • 16.20. Microsoft Corporation
  • 16.21. Oracle Corporation
  • 16.22. PTC Inc.
  • 16.23. QlikTech International AB
  • 16.24. Salesforce, Inc.
  • 16.25. SAP SE
  • 16.26. SAS Institute Inc.
  • 16.27. Software AG
  • 16.28. Splunk Inc.
  • 16.29. Teradata Corporation

LIST OF FIGURES

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

LIST OF TABLES

  • TABLE 1. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CONSUMER ELECTRONICS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY CONSUMER ELECTRONICS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY MANUFACTURING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY MANUFACTURING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY RETAIL, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY RETAIL, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY RETAIL, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY TRANSPORTATION, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 33. AMERICAS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 34. AMERICAS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 35. AMERICAS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 36. AMERICAS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 37. NORTH AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 38. NORTH AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 39. NORTH AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 40. NORTH AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 41. LATIN AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 42. LATIN AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 43. LATIN AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 44. LATIN AMERICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 45. EUROPE, MIDDLE EAST & AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 46. EUROPE, MIDDLE EAST & AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 47. EUROPE, MIDDLE EAST & AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 48. EUROPE, MIDDLE EAST & AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 49. EUROPE CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 50. EUROPE CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 51. EUROPE CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 52. EUROPE CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 53. MIDDLE EAST CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 54. MIDDLE EAST CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 55. MIDDLE EAST CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 56. MIDDLE EAST CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 57. AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 58. AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 59. AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 60. AFRICA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 61. ASIA-PACIFIC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 62. ASIA-PACIFIC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 63. ASIA-PACIFIC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 64. ASIA-PACIFIC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 65. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 66. ASEAN CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 67. ASEAN CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 68. ASEAN CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 69. ASEAN CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 70. GCC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 71. GCC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 72. GCC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 73. GCC CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 74. EUROPEAN UNION CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 75. EUROPEAN UNION CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 76. EUROPEAN UNION CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 77. EUROPEAN UNION CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 78. BRICS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 79. BRICS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 80. BRICS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 81. BRICS CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 82. G7 CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 83. G7 CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 84. G7 CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 85. G7 CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 86. NATO CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 87. NATO CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 88. NATO CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 89. NATO CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 90. GLOBAL CONNECTED DEVICE ANALYTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 91. UNITED STATES CONNECTED DEVICE ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 92. UNITED STATES CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 93. UNITED STATES CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 94. UNITED STATES CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)
  • TABLE 95. CHINA CONNECTED DEVICE ANALYTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 96. CHINA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 97. CHINA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 98. CHINA CONNECTED DEVICE ANALYTICS MARKET SIZE, BY END USER INDUSTRY, 2018-2032 (USD MILLION)