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Asset Tracking Artificial Intelligence (AI) Market Report 2026
Published :July 2026
Pages :400
Format :PDF
Delivery Time :2-3 Business Days
Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.
Report Price :$4,490.00

Asset Tracking Artificial Intelligence (AI) Market Report 2026

Global Outlook – By Component (Hardware, Software, Services), By Technology (Radio Frequency Identification, Global Positioning System, Internet Of Things, Bluetooth, Barcode, Other Technologies), By Deployment Mode (On Premises, Cloud Based, Hybrid), By Application (Inventory Management, Equipment Tracking, Fleet Management, Supply Chain Management, Other Applications), By End User (Healthcare, Transportation And Logistics, Manufacturing, Retail, Oil And Gas, Other End Users) – Market Size, Trends, Strategies, and Forecast to 2030

Asset Tracking Artificial Intelligence (AI) Market Overview

• Asset Tracking Artificial Intelligence (AI) market size has reached to $9.69 billion in 2025 • Expected to grow to $23.08 billion in 2030 at a compound annual growth rate (CAGR) of 18.9% • Growth Driver: The Increasing Adoption Of Internet Of Things-Enabled Tracking Devices Driving The Growth Of The Market Due To Growing Need For Real-Time Asset Visibility • Market Trend: Artificial Intelligence-Powered Real-Time Monitoring Solutions Transforming High-Value Asset Visibility And Cold Chain Logistics • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Asset Tracking Artificial Intelligence (AI) Market?

Asset tracking artificial intelligence (AI) refers to the use of artificial intelligence technologies, such as machine learning, computer vision, and predictive analytics, to monitor, manage, and optimize the movement, location, and condition of physical assets in real time. It helps organizations improve operational efficiency, reduce asset loss, enhance inventory accuracy, and enable predictive maintenance through automated data analysis and intelligent tracking systems. The main components of asset tracking artificial intelligence (AI) include hardware, software, and services. Hardware refers to physical devices such as sensors, RFID tags, and tracking units used to capture real-time asset data. These systems are based on technologies including radio frequency identification, global positioning system, internet of things, bluetooth, barcode, and other technologies and are deployed through on premises, cloud based, and hybrid models. They find application in inventory management, equipment tracking, fleet management, supply chain management, and others, serving end users including healthcare, transportation and logistics, manufacturing, retail, oil and gas, and others.
Asset Tracking Artificial Intelligence (AI) Market Report bar graph

What Is The Asset Tracking Artificial Intelligence (AI) Market Size and Share 2026?

The asset tracking artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $9.69 billion in 2025 to $11.56 billion in 2026 at a compound annual growth rate (CAGR) of 19.3%. The growth in the historic period can be attributed to manual asset tracking dependency, barcode and rfid adoption in early logistics, rise of enterprise resource planning systems, growth of global supply chain complexity, increasing demand for inventory accuracy.

What Is The Asset Tracking Artificial Intelligence (AI) Market Growth Forecast?

The asset tracking artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $23.08 billion in 2030 at a compound annual growth rate (CAGR) of 18.9%. The growth in the forecast period can be attributed to expansion of iot sensor ecosystems, rising adoption of AI-driven predictive analytics, growth of smart warehouses and automated logistics, increasing need for real-time asset visibility, integration of edge AI in industrial operations. Major trends in the forecast period include AI-enabled real-time location intelligence, predictive maintenance for asset lifecycle optimization, digital twin-based asset visibility platforms, edge computing powered tracking systems, blockchain-based asset provenance and audit trails.
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Global Asset Tracking Artificial Intelligence (AI) Market Segmentation

1) By Component: Hardware; Software; Services 2) By Technology: Radio Frequency Identification; Global Positioning System; Internet Of Things; Bluetooth; Barcode; Other Technologies 3) By Deployment Mode: On Premises; Cloud Based; Hybrid 4) By Application: Inventory Management; Equipment Tracking; Fleet Management; Supply Chain Management; Other Applications 5) By End User: Healthcare; Transportation And Logistics; Manufacturing; Retail; Oil And Gas; Other End Users Subsegments: 1) By Hardware: Tracking Devices; Sensors And Monitoring Devices; Tags And Identification Devices; Scanners And Readers; Communication Gateways 2) By Software: Asset Tracking Platforms; Predictive Analytics Software; Data Management Software; Visualization And Reporting Software; Artificial Intelligence And Machine Learning Software 3) By Services: Consulting Services; System Integration Services; Deployment And Implementation Services; Support And Maintenance Services; Managed Services

What Is The Driver Of The Asset Tracking Artificial Intelligence (AI) Market?

The increasing adoption of internet of things-enabled tracking devices is expected to propel the growth of asset tracking artificial intelligence (AI) going forward. Internet of Things (IoT)-enabled tracking devices are smart sensors and connected hardware that use internet connectivity to continuously monitor, collect, and transmit real-time location and condition data of assets, vehicles, or goods for remote tracking and management. Increasing adoption of Internet of Things (IoT)-enabled tracking devices is primarily driven by the growing need for real-time asset visibility, enabling organizations to continuously monitor the location, status, and movement of assets to improve operational efficiency and decision-making. Adoption of Internet of Things-enabled tracking devices helps asset tracking artificial intelligence (AI) by continuously generating real-time location, condition, and movement data that AI systems analyze to improve visibility, predictive insights, and automated asset management decisions. For instance, in October 2025, according to IoT Analytics GmbH, a Germany-based research and strategic intelligence firm, the number of connected IoT devices reached 18.5 billion in 2024, reflecting a 12% increase compared to 2023. Therefore, the increasing adoption of internet of things-enabled tracking devices is driving the growth of the asset tracking artificial intelligence market.

Key Players In The Global Asset Tracking Artificial Intelligence (AI) Market

Major companies operating in the asset tracking artificial intelligence (AI) market are Verizon Communications Inc.; AT&T Inc.; International Business Machines Corporation; Cisco Systems Inc.; Oracle Corporation; Honeywell International Inc.; Qualcomm Incorporated; Zebra Technologies Corporation; Trimble Inc.; Samsara Inc.; Semtech Corporation; Geotab Inc.; Lantronix Inc.; Aeris Communications Inc.; Gurtam LLC; Tive Inc.; Tenna LLC; Link Labs Inc.; Asset Panda LLC; OnAsset Intelligence Inc.

What Are Latest Mergers And Acquisitions In The Asset Tracking Artificial Intelligence (AI) Market?

In April 2026, ServiceNow Inc., a US-based cloud computing company, acquired Armis for $7.75 billion. With this acquisition, ServiceNow aims to strengthen its AI-driven cybersecurity and risk management capabilities by integrating real-time cyber asset visibility, threat detection, and automated remediation across IT, OT, IoT, medical devices, and cloud environments, thereby expanding its security platform and supporting autonomous cyber defense initiatives. Armis Inc. is a US-based company that delivers asset tracking capabilities through its AI-powered asset intelligence and cyber exposure management platform.

Regional Outlook

North America was the largest region in the asset tracking artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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What Defines the Asset Tracking Artificial Intelligence (AI) Market?

The asset tracking artificial intelligence (AI) market consists of revenues earned by entities by providing services such as real-time asset monitoring, predictive maintenance analytics, and artificial intelligence-driven asset utilization optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The asset tracking artificial intelligence (AI) market also includes sales of RFID tags, RFID readers, GPS trackers, BLE beacons, and UWB tags. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Asset Tracking Artificial Intelligence (AI) Market Report 2026?

The asset tracking artificial intelligence (ai) market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the asset tracking artificial intelligence (ai) industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.

Asset Tracking Artificial Intelligence (AI) Market Report Forecast Analysis

Report Attribute Details
Market Size Value In 2026$11.56 billion
Revenue Forecast In 2030$23.08 billion
Growth RateCAGR of 18.9% from 2026 to 2030
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2030
Segments CoveredComponent, Technology, Deployment Mode, Application, End User
Regional ScopeAsia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Country ScopeThe countries covered in the report are Australia, Brazil, China, France, Germany, India, ...
Key Companies ProfiledVerizon Communications Inc.; AT&T Inc.; International Business Machines Corporation; Cisco Systems Inc.; Oracle Corporation; Honeywell International Inc.; Qualcomm Incorporated; Zebra Technologies Corporation; Trimble Inc.; Samsara Inc.; Semtech Corporation; Geotab Inc.; Lantronix Inc.; Aeris Communications Inc.; Gurtam LLC; Tive Inc.; Tenna LLC; Link Labs Inc.; Asset Panda LLC; OnAsset Intelligence Inc.
Customization ScopeRequest for Customization
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