Asset Tracking Artificial Intelligence (AI) Market Global Report 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.

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 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.

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