PUBLISHER: The Business Research Company | PRODUCT CODE: 2111284
PUBLISHER: The Business Research Company | PRODUCT CODE: 2111284
Asset tracking artificial intelligence (AI) refers to the application of artificial intelligence technologies, including machine learning, computer vision, and predictive analytics, to monitor, manage, and optimize the movement, location, and condition of physical assets in real time. It enables organizations to enhance operational efficiency, reduce asset losses, improve inventory accuracy, and support predictive maintenance through automated data analysis and intelligent asset tracking systems.
The primary 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 that 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 are applied 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.
Tariffs are influencing the asset tracking artificial intelligence (AI) market by increasing the cost of imported tracking hardware, sensors, and semiconductor-based devices essential for real-time asset monitoring systems. This is slowing the deployment of advanced tracking infrastructure across manufacturing, logistics, and transportation sectors, particularly in import-dependent regions such as Asia-Pacific and Latin America. Hardware-intensive segments such as tracking devices, sensors, and communication gateways are most affected due to global supply chain disruptions and tariff-driven cost inflation. However, tariffs are also encouraging localized manufacturing of tracking components, regional supply chain diversification, and increased investment in domestic IoT and AI-based asset tracking ecosystems, strengthening long-term operational resilience.
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.
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.
The increasing adoption of Internet of Things (IoT)-enabled tracking devices is expected to propel the growth of asset tracking artificial intelligence (AI) going forward. Internet of Things (IoT)-enabled tracking devices refer to 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. The 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. The adoption of Internet of Things (IoT)-enabled tracking devices supports 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, representing a 12% increase compared to 2023. Therefore, the increasing adoption of Internet of Things (IoT)-enabled tracking devices is driving the growth of the asset tracking artificial intelligence market.
Leading companies operating in the asset tracking artificial intelligence (AI) market are focusing on developing innovative solutions, such as AI-enabled real-time asset tracking platforms, to enhance supply chain visibility, improve operational efficiency, and ensure secure monitoring of high-value assets. Artificial intelligence-enabled real-time asset tracking platforms refer to intelligent systems that use artificial intelligence, IoT sensors, and data analytics to continuously monitor, track, and manage the location, condition, and movement of assets in real time. For example, in November 2024, Airgain Inc., a US-based wireless connectivity solutions company, launched the AT-Flight asset tracker, an innovative artificial intelligence-powered asset tracking solution designed for healthcare and life sciences IoT applications. The AT-Flight tracker is cellular-enabled and in-flight certified, allowing continuous tracking of high-value, temperature-sensitive assets across both air and ground transportation. The device combines advanced artificial intelligence with ambient sensor technology to automatically detect flight events and activate airplane mode in compliance with Federal Aviation Administration regulations, eliminating the need for manual intervention. It also features extended battery life, flight-approved battery options, and a wide operating temperature range of up to -20°C, making it highly suitable for transporting vaccines, pharmaceuticals, and other temperature-sensitive medical goods.
In April 2026, ServiceNow Inc., a US-based cloud computing company, acquired Armis for $7.75 billion. Through 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.
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.
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 the asset tracking artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the asset tracking artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
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.
The asset tracking artificial intelligence (AI) market research report is one of a series of new reports from The Business Research Company that provides asset tracking artificial intelligence (AI) market statistics, including asset tracking artificial intelligence (AI) industry global market size, regional shares, competitors with a asset tracking artificial intelligence (AI) market share, detailed asset tracking artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the asset tracking artificial intelligence (AI) industry. This asset tracking artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Asset Tracking Artificial Intelligence (AI) Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses asset tracking artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for asset tracking artificial intelligence (ai) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The asset tracking artificial intelligence (ai) market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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