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市场调查报告书
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1995318

连网型设备分析市场：依产品、部署方式及最终用户产业划分－2026-2032年全球预测

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个工作天内

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预计到 2025 年，连网型设备分析市场价值将达到 423.9 亿美元，到 2026 年将成长至 524.1 亿美元，到 2032 年将达到 1920.4 亿美元，年复合成长率为 24.08%。

主要市场统计数据
基准年 2025 423.9亿美元
预计年份：2026年 524.1亿美元
预测年份 2032 1920.4亿美元
复合年增长率 (%) 24.08%

简化连网型设备分析的部署：策略重要性、不断发展的能力、部署者以及决策者面临的管理挑战

连网型设备分析已从一项小众技术发展成为营运配备感测器的复杂生态系统的企业的核心策略资产。早期应用主要集中于预测性维护和车辆追踪等孤立用例，而如今，跨职能整合至关重要，分析结果将为产品蓝图、收入模式和客户体验提供资讯支援。本概述旨在为企业主管提供业务背景，清楚阐述基于连网型设备的分析为何正在影响营运、研发和市场推广等各个环节的策略决策。

资料架构、边缘运算、隐私法规和跨产业融合的变革性变化如何重新定义分析策略和投资回报率预期。

连网型设备分析的格局正受到多项结构性变革的重塑，这些变革涵盖技术、监管和商业性等多个面向。在架构层面，边缘运算和联邦分析透过降低延迟和减少原始资料的传输，在不影响分析深度的前提下，实现了更接近设备的即时决策。同时，模型效率和设备端推理技术的进步正在改变集中式和分散式处理之间的平衡，即使在资源受限的硬体环境中也能获得更丰富的洞察。

评估 2025 年美国关税对供应链、零件定价、供应商策略和跨产业下游分析实施的累积影响。

2025年关税的实施产生了一系列复杂的下游影响，远不止于直接采购成本。关税调整促使企业透过零件多元化和区域采购来应对贸易政策波动风险，从而改变了供应链的决策方式。因此，采购前置作业时间和供应商选择週期均延长，迫使分析团队将供应侧的波动性纳入预测模型和情境分析中。

透过利用关键的市场区隔洞察，揭示不同产品、部署模式和产业之间的不同部署模式，我们可以製定有针对性的产品和市场发布策略。

细分洞察揭示了不同交付模式、部署方式和最终用户产业在采纳、价值取得和实施风险方面的差异。基于交付模式，市场被分为两类：「服务」和「软体」。服务主导方法倾向于透过託管整合和专业知识来加速价值实现，而软体主导方法则强调透过可重复使用元件实现扩充性和产品差异化。客製化服务和软体包之间的权衡会影响整体拥有成本 (TCO) 以及内部团队建立能力的速度。

对美洲、欧洲、中东和非洲以及亚太地区的基础设施准备、监管复杂性和伙伴关係生态系统的关键区域见解。

区域趋势影响部署的经济效益、伙伴关係的性质以及企业必须履行的监管义务。在美洲，企业负责人倾向于采用云端原生架构和託管服务来加速部署，但监管监督和州级隐私保护措施增加了复杂性，并要求严格的资料管治。同时，欧洲、中东和非洲 (EMEA) 地区的监管和基础设施成熟度水准参差不齐。在该地区营运的企业必须使其分析架构与严格的资料保护标准和特定市场的连接环境相协调。

从公司层级进行策略观察，重点放在该领域主要企业的竞争定位、伙伴关係趋势、投资重点和差异化能力。

企业级趋势揭示了主要供应商如何透过平台广度、垂直产业专长和生态系统编配实现差异化。一些供应商专注于涵盖设备连接、资料管理和分析的端到端平台，将自身定位为寻求整合技术堆迭的组织的一站式解决方案提供者。另一些供应商则专注于模组化软体元件和专业领域模型，使合作伙伴和客户能够为其特定用例建立最佳架构。

为行业领导者提供实用建议，以透过管治、架构、人才和生态系统编配来加速从互联设备分析中创造价值。

产业领导者应推动整合式方法，在降低技术和监管风险的同时，加速实现商业性价值。首先，建立管治层，明确资料所有权、存取控制和合规性查核点。这项管治基础能够减少下游摩擦，加速可靠的资料共用。其次，采用模组化架构，使团队能够根据延迟、主权和弹性需求，灵活组合云端和本地部署的资源。

高度透明的调查方法，解释了资料来源、分析方法、检验程序和品管，以确保分析的严谨性和可重复性。

本研究采用结构化且可重复的调查方法，结合对关键相关人员的访谈、技术架构审查以及对公开文件和监管指南的整合，建构了严谨的依证。研究重点包括与设备製造、系统整合和企业分析领域的负责人进行对话，以了解实际运作、常见故障和成功因素。随后，将这些定性资讯与平台功能、互通性通讯协定和部署模式的技术评估结果进行交叉比对。

这是一份权威的综合分析报告，它提取了战略见解、风险考虑和优先领域，旨在帮助组织从连网型设备分析中获得可持续的竞争优势。

这些发现凸显了一个明确的策略需求：连网型设备分析必须被视为一项可配置的功能，它融合了模组化架构、健全的管治和行业特定的专业知识。采用灵活架构并纳入隐私保护控制措施的组织不仅可以降低营运风险，还能获得更丰富、更具说服力的洞见。此外，还需要采购、工程和分析团队之间的跨职能协作，以应对与关税和区域监管趋势相关的供应链变化。

目录

第一章：序言

第二章：调查方法

  • 调查设计
  • 研究框架
  • 市场规模预测
  • 数据三角测量
  • 调查结果
  • 调查的前提
  • 研究限制

第三章执行摘要

  • 首席主管观点
  • 市场规模和成长趋势
  • 2025年市占率分析
  • FPNV定位矩阵，2025
  • 新的商机
  • 下一代经营模式
  • 产业蓝图

第四章 市场概览

  • 产业生态系与价值链分析
  • 波特五力分析
  • PESTEL 分析
  • 市场展望
  • 上市策略

第五章 市场洞察

  • 消费者洞察与终端用户观点
  • 消费者体验基准
  • 机会映射
  • 分销通路分析
  • 价格趋势分析
  • 监理合规和标准框架
  • ESG与永续性分析
  • 中断和风险情景
  • 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

第八章连网型设备分析市场：依产品/服务分类

  • 服务
  • 软体

第九章连网型设备市场分析：依部署模式划分

  • 云
  • 现场

第十章连网型设备分析市场：依最终用户产业划分

  • 家用电子电器
  • 卫生保健
  • 製造业
  • 零售
  • 运输

第十一章连网型设备分析市场：按地区划分

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十二章连网型设备分析市场：依组别划分

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

第十三章连网型设备分析市场：依国家划分

  • 我们
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十四章：美国连网型设备分析市场

第十五章：中国连网型设备分析市场

第十六章 竞争格局

  • 市场集中度分析，2025年
    • 浓度比（CR）
    • 赫芬达尔-赫希曼指数 (HHI)
  • 近期趋势及影响分析，2025 年
  • 2025年产品系列分析
  • 基准分析，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)