Vessel traffic data, or Automatic Identification System (AIS) data, are collected by the U.S. Coast Guard through an onboard navigation safety device that transmits and monitors the location and characteristics of large vessels in U.S. and international waters in real time. In the U.S., the Coast Guard and commercial vendors collect AIS data, which can also be used for a variety of coastal planning purposes.The Bureau of Ocean Energy Management (BOEM) and the National Oceanic and Atmospheric Administration (NOAA) have worked jointly to repurpose and make available some of the most important records from the U.S. Coast Guard’s national network of AIS receivers. Information such as location, time, ship type, speed, length, beam, and draft have been extracted from the raw data and prepared for analyses in desktop GIS software.Vessel tracks show the location and characteristics of commercial, recreational, and other marine vessels as a sequence of positions transmitted by AIS. AIS signals are susceptible to interference, and this can result in a gap within a vessel track. Vessels can have one or more tracks of any length. Furthermore, tracks will not necessarily start or stop at a well-defined port, or when a vessel is not in motion.The distribution, type, and frequency of vessel tracks are a useful aid to understanding the risk of conflicting uses within a certain geographic area and are an efficient and spatially unbiased indicator of vessel traffic. These tracks are used to build respective AIS Vessel Transit Counts layers, summarized at a 100-meter grid cell resolution. A single transit is counted each time a vessel track passes through, starts, or stops within a grid cell.This item is curated by the MarineCadastre.gov team. Find more information at marinecadastre.gov.

A vessel track shows the location and characteristics of commercial and recreational boats as a sequence of positions transmitted by an Automatic Identification System (AIS). AIS signals are susceptible to interference and this can result in a gap within a vessel track. The distribution, type, and frequency of vessel tracks are a useful aid to understanding the risk of conflicting uses within a certain geographic area. The vessel track positions in this data set are collected and recorded from land-based antennas as part of a national network operated by the U.S. Coast Guard.

Vessel traffic data or Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal management purposes. NOAA and BOEM have worked jointly to make available these data from the U.S. Coast Guards national network of AIS receivers. The original records were filtered to a one-minute frequency rate and were subsetted to depict the location and description of vessels broadcasting within the Exclusive Economic Zone. MarineCadastre.gov AIS data are divided by month and Universal Transverse Mercator (UTM) zone.

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. This dataset represents annual vessel transit counts summarized at a 100 m by 100 m geographic area. A single transit is counted each time a vessel track passes through, starts, or stops within a 100 m grid cell.

The dataset consists of vessel tracking data in the form of AIS observations in the Baltic Sea during years 2017-19. The AIS observations have been enriched with vessel metadata such as power

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

These data are a spatially explicit representation of monthly shipping intensity in the Pacific Arctic region from January 1, 2015 to December 31, 2020. We calculated shipping intensity based on Automatic Identification System (AIS) data, a type of Global Positioning System (GPS) transmitter required by the International Maritime Organization on all ships over 300 gross tonnes on an international voyage, all cargo ships over 500 gross tonnes, and all passenger ships. We used AIS data received by the exactEarth satellite constellation (64 satellites as of 2020), ensuring spatial coverage regardless of national jurisdiction or remoteness. Our analytical approach converted raw AIS input into monthly hex datasets. We first filtered raw AIS messages to remove spurious records and GPS errors, then joined remaining vessel positional records with static messages including descriptive attributes. We further categorized these messages into one of four general ship types (cargo; tanker; fishing; and other). For the vector dataset, we spatially intersected AIS messages with a hexagon (hex) grid and calculated the number of unique ships, the number of unique ships per day (summed over each month), and the average and standard deviation of the speed over ground. We calculated these values for each month for all vessels as well as vessels subdivided by ship type and for messages from vessels greater than 65 feet long and traveling at greater than 10 knots. These monthly datasets provide a critical snapshot of dynamic commercial and natural systems in the Pacific Arctic region. Recent declines in sea ice have lengthened the duration of the shipping season and have expanded the spatial coverage of large vessel routes, from the Aleutian Islands through the Bering Strait and into the southern Chukchi Sea. As vessel traffic has increased, so has exposure to the myriad environmental risks posed by large ships, including oil spills, underwater noise pollution, large cetacean ship-strikes, and discharges of pollutants. This dataset provides scientific researchers, local community members, mariners, and decision-makers with a quantitative means to evaluate the distribution and intensity of shipping across space and through time. In addition to these hex data, we also produced data products in 25- and 10-km raster format as well as a 1-km coastal data subset. To find these products, search for “North Pacific and Arctic Marine Vessel Traffic Dataset” in the Arctic Data Center’s data repository.

This dataset contains vessel traffic data within the United States Exclusive Economic Zone (US EEZ). Data were collected from onboard navigation safety devices that transmit and monitor the location and characteristics of large vessels that transited U.S waters. The dataset is composed of vessel traffic heatmap grids that are segmented by region, ship type, month, and year, and describe aggregate traffic information extracted from the raw AIS data. The grids are 500 meter resolution and in an Albers Equal Area projection.

This dataset contains vessel traffic data within the United States Exclusive Economic Zone (US EEZ). Data were collected from onboard navigation safety devices that transmit and monitor the location and characteristics of large vessels that transited U.S waters. The dataset is composed of vessel traffic heatmap grids that are segmented by region, ship type, month, and year, and describe aggregate traffic information extracted from the raw AIS data. The grids are 500 meter resolution and in an Albers Equal Area projection.

AIS Ship Tracking System Market Outlook

The global AIS Ship Tracking System market size was valued at approximately USD 300 million in 2023 and is forecasted to reach around USD 650 million by 2032, growing at a Compound Annual Growth Rate (CAGR) of around 9%. The significant growth in this market is primarily driven by the increasing need for maritime safety, security, and efficient fleet management.

The growth factors driving the AIS Ship Tracking System market include the rising volume of international seaborne trade and stringent regulations pertaining to maritime safety and environmental protection. The surge in global trade activities has necessitated the adoption of advanced tracking systems to ensure navigational safety and operational efficiency. Furthermore, the implementation of international maritime laws and policies aimed at preventing maritime accidents and environmental hazards has bolstered the demand for AIS ship tracking systems.

Technological advancements in AIS systems have also played a crucial role in market expansion. The integration of satellite AIS systems and real-time data analytics has greatly enhanced the accuracy and reliability of vessel tracking, resulting in higher adoption rates across the maritime industry. Additionally, the development of sophisticated software solutions that offer comprehensive fleet management capabilities, including route optimization, fuel consumption monitoring, and predictive maintenance, has further fueled market growth.

The increasing investments in maritime infrastructure, particularly in emerging economies, are expected to propel the demand for AIS ship tracking systems over the forecast period. Governments and private sector entities are investing heavily in the development of ports, harbors, and other maritime facilities, thereby driving the need for advanced tracking and monitoring solutions. Moreover, the growth of the maritime tourism industry, with an increasing number of cruise ships and recreational vessels, is also contributing to market growth.

The Maritime Traffic System plays a pivotal role in enhancing the safety and efficiency of global shipping operations. By providing comprehensive data on vessel movements and maritime conditions, these systems enable better coordination and management of maritime traffic, reducing the risk of collisions and environmental incidents. As international trade continues to expand, the integration of advanced Maritime Traffic Systems is becoming increasingly crucial for ensuring smooth and secure maritime operations. These systems not only support regulatory compliance but also facilitate the optimization of shipping routes and schedules, contributing to cost savings and improved operational efficiency.

Regionally, North America is anticipated to hold a substantial share of the AIS Ship Tracking System market due to the presence of major maritime trade routes and stringent regulatory frameworks. Europe is also expected to witness significant growth owing to the region's extensive maritime activities and the adoption of advanced tracking technologies. The Asia Pacific region, with its burgeoning maritime trade, is projected to exhibit the highest growth rate during the forecast period. The increasing investments in port infrastructure and the rising demand for maritime security solutions in countries such as China, India, and Japan are key growth drivers in this region.

Component Analysis

The AIS Ship Tracking System market can be segmented by component into hardware, software, and services. The hardware segment includes transceivers, antennas, and other essential equipment required for AIS functionality. The software segment encompasses the applications and platforms used for data collection, analysis, and visualization. The services segment includes installation, maintenance, and training services.

The hardware segment is expected to dominate the market throughout the forecast period due to the continuous demand for transceivers and antennas which are integral to AIS systems. The need for upgrading existing hardware to more advanced and reliable systems is also driving growth in this segment. Technological advancements, such as the development of more compact and efficient transceivers, are further propelling the market.

The software segment is anticipated to witness the highest growth rate, driven by the increasing demand for sophisticated software solutions that o

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. This dataset represents the density of vessel traffic in 2013 for the contiguous United States offshore waters from vessels with AIS transponders in 100 meter grid cells. The dataset is best interpreted using a high to low density scale and does not represent actual vessel counts.

The global Automatic Identification System (AIS) Ship Tracking System market is experiencing robust growth, driven by increasing maritime traffic, stringent safety regulations, and the rising demand for efficient fleet management. The market size in 2025 is estimated at $316.9 million. While the exact CAGR is not provided, considering the growth drivers and industry trends, a conservative estimate of 8% CAGR from 2025 to 2033 can be reasonably projected. This signifies a substantial expansion of the market, reaching approximately $650 million by 2033. Key market segments, including Class A and Class B transponders and applications in marine fishery, intelligent shipping, and other sectors, are all contributing to this growth. The integration of AIS data with other technologies, such as IoT and AI, is creating new opportunities for enhanced vessel tracking and improved maritime security. The increasing adoption of AIS technology by smaller vessels and the expansion of AIS coverage in remote areas further fuel market expansion. Technological advancements leading to smaller, more cost-effective, and energy-efficient AIS transponders are making the technology more accessible. This wider adoption, coupled with government initiatives promoting maritime safety and security, significantly impacts market growth. However, challenges remain, including the potential for interference and cybersecurity vulnerabilities related to AIS data transmission. Despite these challenges, the overall outlook for the AIS Ship Tracking System market remains highly positive, driven by the undeniable need for real-time vessel monitoring and the continuous technological improvements in the field. The competitive landscape is characterized by a mix of established players and emerging technology providers. This report provides a detailed analysis of the global AIS ship tracking system market, projecting a market valuation exceeding $2.5 billion by 2030. It delves into market segmentation, key players, technological advancements, and future growth prospects, utilizing data from reliable sources and industry estimates. This report is crucial for investors, businesses, and researchers seeking a comprehensive understanding of this dynamic market.

Vessels traveling in U.S. coastal and inland waters frequently use Automatic Identification Systems (AIS) for navigation safety. The U.S. Coast Guard collects AIS records using shore-side antennas. These records have been filtered and converted from a series of points to a set of track lines for each vessel. Vessels can have one or more tracks of any length, and can be separated by gaps due to intermittent loss of the AIS signal. Tracks will not necessarily start or stop at a well defined port, or when a vessel is not in motion. Vessel tracks are an efficient and spatially unbiased indicator of vessel traffic.

This dataset contains vessel traffic data within the United States Exclusive Economic Zone (US EEZ). Data were collected from onboard navigation safety devices that transmit and monitor the location and characteristics of large vessels that transited U.S waters. The dataset is composed of vessel traffic heatmap grids that are segmented by region, ship type, month, and year, and describe aggregate traffic information extracted from the raw AIS data. The grids are 500 meter resolution and in an Albers Equal Area projection.

The global Marine AIS Monitoring System market is experiencing robust growth, driven by increasing maritime traffic, stringent regulations for vessel safety and security, and the rising adoption of advanced technologies for efficient fleet management. The market size in 2025 is estimated at $1.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several factors. Firstly, the demand for real-time vessel tracking and monitoring is significantly increasing due to concerns regarding piracy, smuggling, and accidental collisions. Secondly, governments worldwide are implementing stricter regulations mandating the use of AIS systems for improved maritime safety and security. This regulatory push is a major catalyst for market expansion. Thirdly, technological advancements such as the integration of IoT and AI capabilities within AIS systems are providing enhanced functionalities like predictive maintenance and optimized route planning, further driving market adoption. The increasing adoption of cloud-based solutions for data storage and analysis also contributes to this growth. However, the market faces certain restraints. The high initial investment cost associated with installing and maintaining AIS systems, particularly for smaller vessels, can hinder adoption, especially in developing economies. Furthermore, cybersecurity threats and data privacy concerns related to the transmission of sensitive vessel information necessitate robust security measures, representing a challenge for market players. Despite these challenges, the long-term outlook for the Marine AIS Monitoring System market remains positive, with continuous innovation and technological improvements expected to drive growth across various segments, including hardware, software, and services. Key players in the market are focusing on developing sophisticated solutions that offer improved accuracy, reliability, and enhanced security features to cater to the growing needs of the maritime industry.

Track the US GOVT VESSEL in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 367819000, IMO: 9232254

Track the US GOV VESSEL 6 in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 366991420, IMO: 9905382

All the modern surveillance systems take advantage of the Automatic Identification System (AIS), a compulsory tracking system for many types of vessels. Ships that carry AIS transponders on board transmit their position and status in order to alert nearby vessels and ground stations, but this information can well be used to identify events of interest and support decision making. The detection of anomalies (i.e. unexpected sailing behavior) in vessels’ trajectories is such an event, which is of utmost importance. Approaches for detecting such anomalies vary from extracting normality models to searching for individual cases, such as AIS switch-off or collision avoidance maneuvers. The current research work follows the former method; it employs sparse historic AIS data and polynomial interpolation in order to extract shipping lanes. It modifies the DB-Scan clustering algorithm in order to achieve more coherent trajectory clusters, which are then composed to create the shipping lanes. The proposed approach implements distributed processing on Apache Spark in order to improve processing speed and scalability and is evaluated using real-world AIS data collected from terrestrial AIS receivers. The evaluation shows that the biggest part (i.e. more than 90%) of any future vessel trajectory falls within the extracted shipping lanes.

Track the AIS TEST in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 271101061, IMO: 3461346

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.