The global market for Connected Device Analytics was valued at US$85.7 Billion in 2024 and is projected to reach US$280.0 Billion by 2030, growing at a CAGR of 21.8% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Connected Device Analytics market.
This analytical capability is no longer a luxury - it is a necessity. Industries such as manufacturing, healthcare, utilities, logistics, and agriculture are embedding analytics into the very fabric of their IoT architecture to ensure uptime, optimize resource consumption, and drive informed decision-making. For example, industrial OEMs leverage analytics to monitor vibration patterns in machinery, enabling early fault detection and reducing unscheduled downtime. In smart homes, connected appliance manufacturers use analytics to identify usage habits and refine firmware updates. The scope and importance of analytics are growing with every new connected endpoint that enters the network.
Another breakthrough involves the integration of streaming analytics and digital twins. With streaming analytics, vast volumes of telemetry data can be analyzed on-the-fly, providing operators with live visibility into key parameters such as energy consumption, temperature fluctuations, or actuator status. Digital twins - virtual replicas of physical assets - are increasingly being layered on top of device analytics frameworks to simulate operational scenarios, predict failures, and test control interventions without disrupting physical operations.
The emergence of low-code/no-code analytics platforms is also transforming the accessibility of these tools. Engineers, domain specialists, and non-technical business users can now build custom dashboards, define thresholds, and configure alerts using intuitive drag-and-drop interfaces. Additionally, unified data models and open API architectures enable integration across diverse device types and communication protocols, from MQTT and CoAP to OPC-UA and 5G. This interoperability ensures that analytics can be applied across vertically integrated or horizontally distributed IoT networks.
In healthcare, connected medical devices such as infusion pumps, portable ECG monitors, and imaging systems use analytics for performance diagnostics, usage optimization, and compliance tracking. Remote patient monitoring platforms depend on device analytics to flag abnormal health indicators and ensure continuous care delivery. Similarly, in transportation and logistics, fleet telematics systems use device analytics to improve route planning, monitor fuel efficiency, and ensure driver safety through real-time behavior analytics.
Smart cities represent another expanding frontier, where municipalities use analytics to monitor street lighting, traffic flow, water distribution, and waste management in real time. Consumer electronics, including wearable fitness trackers and smart appliances, are integrating analytics to personalize user experiences and drive product engagement. As enterprises embrace digital transformation, connected device analytics is shifting from an IT initiative to a strategic imperative across business verticals.
The transition toward edge computing and real-time processing has further reinforced demand, especially in applications where data latency could lead to safety risks, financial losses, or operational disruption. Coupled with growing investments in 5G infrastructure and cloud-native analytics platforms, enterprises now have the technological backbone required to deploy analytics at scale across globally distributed networks.
Additionally, heightened competition, regulatory pressures, and sustainability goals are compelling businesses to enhance visibility into their assets and operations. Connected device analytics helps optimize energy consumption, reduce downtime, minimize waste, and ensure regulatory compliance - goals that directly contribute to bottom-line improvements. As digital maturity increases across sectors and regions, connected device analytics is poised to become the default layer of operational intelligence that underpins every IoT investment.
Segments: Component (Solutions, Services); Deployment (On-Premise, Cloud); Application (Sales & Customer Management, Security & Emergency Management, Remote Monitoring, Predictive Maintenance & Asset Management, Inventory Management, Energy Management, Building Automation, Other Applications); Vertical (Manufacturing, Transport & Logistics, Energy & Utilities, Retail & E-Commerce, BFSI, Health & Life Sciences, Government & Defense, Other Verticals).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Connected Device Analytics Market - Key Trends & Drivers Summarized
Why Is Connected Device Analytics Becoming the Cornerstone of IoT Strategy?
Connected device analytics has evolved into a mission-critical capability for enterprises managing large-scale Internet of Things (IoT) ecosystems. As billions of sensors, machines, and smart devices generate real-time data across industrial, consumer, and commercial environments, organizations are under pressure to transform this data into actionable insights. Connected device analytics platforms enable real-time monitoring, anomaly detection, usage pattern recognition, and predictive maintenance - offering a unified interface to assess device health, performance, and behavior over time.This analytical capability is no longer a luxury - it is a necessity. Industries such as manufacturing, healthcare, utilities, logistics, and agriculture are embedding analytics into the very fabric of their IoT architecture to ensure uptime, optimize resource consumption, and drive informed decision-making. For example, industrial OEMs leverage analytics to monitor vibration patterns in machinery, enabling early fault detection and reducing unscheduled downtime. In smart homes, connected appliance manufacturers use analytics to identify usage habits and refine firmware updates. The scope and importance of analytics are growing with every new connected endpoint that enters the network.
What Technological Innovations Are Enhancing Analytical Intelligence Across Devices?
Technological innovation is rapidly enhancing the capabilities of connected device analytics platforms. Edge analytics - where data is processed locally on the device or gateway before being transmitted - has become a game-changer, reducing latency and bandwidth usage while enabling real-time decision-making. Coupled with AI and machine learning, edge analytics enables devices to detect anomalies, trigger alerts, and even initiate self-healing protocols without waiting for centralized processing.Another breakthrough involves the integration of streaming analytics and digital twins. With streaming analytics, vast volumes of telemetry data can be analyzed on-the-fly, providing operators with live visibility into key parameters such as energy consumption, temperature fluctuations, or actuator status. Digital twins - virtual replicas of physical assets - are increasingly being layered on top of device analytics frameworks to simulate operational scenarios, predict failures, and test control interventions without disrupting physical operations.
The emergence of low-code/no-code analytics platforms is also transforming the accessibility of these tools. Engineers, domain specialists, and non-technical business users can now build custom dashboards, define thresholds, and configure alerts using intuitive drag-and-drop interfaces. Additionally, unified data models and open API architectures enable integration across diverse device types and communication protocols, from MQTT and CoAP to OPC-UA and 5G. This interoperability ensures that analytics can be applied across vertically integrated or horizontally distributed IoT networks.
Who Is Driving Adoption and How Are Applications Expanding Across Sectors?
Industries with high capital intensity and operational complexity are at the forefront of connected device analytics adoption. Manufacturing is a major adopter, using these platforms to monitor machine performance, reduce scrap rates, and optimize production schedules. The rise of Industry 4.0 and predictive maintenance has made device-level intelligence indispensable for plant managers and maintenance teams. Utilities and energy providers are also leveraging analytics to monitor smart meters, grid stability, and energy usage patterns across millions of endpoints in real-time.In healthcare, connected medical devices such as infusion pumps, portable ECG monitors, and imaging systems use analytics for performance diagnostics, usage optimization, and compliance tracking. Remote patient monitoring platforms depend on device analytics to flag abnormal health indicators and ensure continuous care delivery. Similarly, in transportation and logistics, fleet telematics systems use device analytics to improve route planning, monitor fuel efficiency, and ensure driver safety through real-time behavior analytics.
Smart cities represent another expanding frontier, where municipalities use analytics to monitor street lighting, traffic flow, water distribution, and waste management in real time. Consumer electronics, including wearable fitness trackers and smart appliances, are integrating analytics to personalize user experiences and drive product engagement. As enterprises embrace digital transformation, connected device analytics is shifting from an IT initiative to a strategic imperative across business verticals.
What Is Driving the Exponential Growth of the Connected Device Analytics Market?
The growth in the connected device analytics market is driven by several pivotal trends: the explosive proliferation of IoT endpoints, the imperative to derive business value from operational data, and the emergence of scalable analytics platforms powered by AI. As device ecosystems grow in size and complexity, manual monitoring becomes untenable, and analytics provides the automation and intelligence necessary to ensure efficiency, safety, and resilience.The transition toward edge computing and real-time processing has further reinforced demand, especially in applications where data latency could lead to safety risks, financial losses, or operational disruption. Coupled with growing investments in 5G infrastructure and cloud-native analytics platforms, enterprises now have the technological backbone required to deploy analytics at scale across globally distributed networks.
Additionally, heightened competition, regulatory pressures, and sustainability goals are compelling businesses to enhance visibility into their assets and operations. Connected device analytics helps optimize energy consumption, reduce downtime, minimize waste, and ensure regulatory compliance - goals that directly contribute to bottom-line improvements. As digital maturity increases across sectors and regions, connected device analytics is poised to become the default layer of operational intelligence that underpins every IoT investment.
Report Scope
The report analyzes the Connected Device Analytics market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments: Component (Solutions, Services); Deployment (On-Premise, Cloud); Application (Sales & Customer Management, Security & Emergency Management, Remote Monitoring, Predictive Maintenance & Asset Management, Inventory Management, Energy Management, Building Automation, Other Applications); Vertical (Manufacturing, Transport & Logistics, Energy & Utilities, Retail & E-Commerce, BFSI, Health & Life Sciences, Government & Defense, Other Verticals).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Solutions Component segment, which is expected to reach US$211.2 Billion by 2030 with a CAGR of a 23.9%. The Services Component segment is also set to grow at 16.7% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $23.3 Billion in 2024, and China, forecasted to grow at an impressive 29.5% CAGR to reach $67.9 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Connected Device Analytics Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Connected Device Analytics Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Connected Device Analytics Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as Adobe Inc., Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Google LLC and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 44 companies featured in this Connected Device Analytics market report include:
- Adobe Inc.
- Amazon Web Services, Inc.
- Cisco Systems, Inc.
- Cloudera, Inc.
- Google LLC
- Hitachi, Ltd.
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Oracle Corporation
- PTC Inc.
- QlikTech International AB
- SAP SE
- SAS Institute Inc.
- Software AG
- Splunk Inc.
- Tableau Software, Inc.
- Teradata Corporation
- TIBCO Software Inc.
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What's Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAITALYSPAINRUSSIAREST OF EUROPESOUTH KOREAREST OF ASIA-PACIFICARGENTINABRAZILMEXICOREST OF LATIN AMERICAIRANISRAELSAUDI ARABIAUNITED ARAB EMIRATESREST OF MIDDLE EASTIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
UNITED KINGDOM
ASIA-PACIFIC
AUSTRALIA
INDIA
LATIN AMERICA
MIDDLE EAST
AFRICA
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Adobe Inc.
- Amazon Web Services, Inc.
- Cisco Systems, Inc.
- Cloudera, Inc.
- Google LLC
- Hitachi, Ltd.
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Oracle Corporation
- PTC Inc.
- QlikTech International AB
- SAP SE
- SAS Institute Inc.
- Software AG
- Splunk Inc.
- Tableau Software, Inc.
- Teradata Corporation
- TIBCO Software Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 497 |
| Published | May 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 85.7 Billion |
| Forecasted Market Value ( USD | $ 280 Billion |
| Compound Annual Growth Rate | 21.8% |
| Regions Covered | Global |
