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...

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.

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.

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 system (AIS) data are used to identify and track vessels for various purposes (primarily navigational safety). These data can be used to study vessel traffic, such as ship routing and speed over ground (SOG). Source data were obtained from the United States Coast Guard Navigation Center (USCG NAVCEN) for the period from June 2008 to December 2015. Derived data resulting from the processing of the source data are described here. This data set presents annual raster data (1 square kilometer grid size) off California from 2008-2015 for cumulative ship traffic density (kilometers/day) and mean SOG (knots; distance-weighted). The universe of data is limited to vessels with a length greater than or equal to 80 meters. The data are analyzed in three groups: freight vessels (container, general cargo, bulk carrier, refrigerated cargo, vehicle carrier, etc.), tanker vessels (crude oil, chemical/products, liquid petroleum gas, etc.) and all vessels (the previously noted vessels, plus passenger vessels and other vessel classes). The data are contained in a file geodatabase format as raster data sets. Metadata for the overall data set are contained at the level of the file geodatabase. The data were generated and used for a research article (Moore et al. 2018): Moore, T.J., Redfern, J.V., Carver, M., Hastings, S., Adams, J.D., Silber, G.K., 2018. Exploring Ship Traffic Variability off California. Ocean and Coastal Management. https://doi.org/10.1016/j.ocecoaman.2018.03.010 See this manuscript for more information on the data description, issues, and processing methods.

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.

Nowadays, a multitude of tracking systems produce massive amounts of maritime data on a daily basis. The most commonly used is the Automatic Identification System (AIS), a collaborative, self-reporting system that allows vessels to broadcast their identification information, characteristics and destination, along with other information originating from on-board devices and sensors, such as location, speed and heading. AIS messages are broadcast periodically and can be received by other vessels equipped with AIS transceivers, as well as by on the ground or satellite-based sensors.

Since becoming obligatory by the International Maritime Organisation (IMO) for vessels above 300 gross tonnage to carry AIS transponders, large datasets are gradually becoming available and are now being considered as a valid method for maritime intelligence [4].There is now a growing body of literature on methods of exploiting AIS data for safety and optimisation of seafaring, namely traffic analysis, anomaly detection, route extraction and prediction, collision detection, path planning, weather routing, etc., [5].

As the amount of available AIS data grows to massive scales, researchers are realising that computational techniques must contend with difficulties faced when acquiring, storing, and processing the data. Traditional information systems are incapable of dealing with such firehoses of spatiotemporal data where they are required to ingest thousands of data units per second, while performing sub-second query response times.

Processing streaming data seems to exhibit similar characteristics with other big data challenges, such as handling high data volumes and complex data types. While for many applications, big data batch processing techniques are sufficient, for applications such as navigation and others, timeliness is a top priority; making the right decision steering a vessel away from danger, is only useful if it is a decision made in due time. The true challenge lies in the fact that, in order to satisfy real-time application needs, high velocity, unbounded sized data needs to be processed in constraint, in relation to the data size and finite memory. Research on data streams is gaining attention as a subset of the more generic Big Data research field.

Research on such topics requires an uncompressed unclean dataset similar to what would be collected in real world conditions. This dataset contains all decoded messages collected within a 24h period (starting from 29/02/2020 10PM UTC) from a single receiver located near the port of Piraeus (Greece). All vessels identifiers such as IMO and MMSI have been anonymised and no down-sampling procedure, filtering or cleaning has been applied.

The schema of the dataset is provided below:

· t: the time at which the message was received (UTC)

· shipid: the anonymized id of the ship

· lon: the longitude of the current ship position

· lat: the latitude of the current ship position

· heading: (see: https://en.wikipedia.org/wiki/Course_(navigation))

· course: the direction in which the ship moves (see: https://en.wikipedia.org/wiki/Course_(navigation))

· speed: the speed of the ship (measured in knots)

· shiptype: AIS reported ship-type

· destination: AIS reported destination

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.

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.

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.

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.

Ship traffic for the State of Hawaii, identifying the number of times a vessel occupied each square kilometer during the period 2008-2009. The Automatic Identification System (AIS) is an internationally-recognized shipboard broadcast system that communicates information to shore-based stations and other AIS-equipped ships. The U.S. Coast Guard (USCG) has developed rules applicable to both U.S. and foreign vessels that require owners and operators of most commercial vessels to install and use AIS to increase security and safety of maritime transportation. PacIOOS obtained AIS data from the USCG Nationwide AIS (NAIS) project. While specific times for ship locations were redacted, the data represent a cumulation over the two-year period 2008-2009 from which ship frequency was computed at 1-km resolution.

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

This data file contains AIS vessel tracking records used in a study of low-frequency ocean noise off the California coast. Data span January through July of 2018 - 2020.

The global AIS Ship Tracking System market is experiencing steady growth, with a market size of $258.3 million in 2025 and a projected Compound Annual Growth Rate (CAGR) of 3.0% from 2025 to 2033. This growth is driven by increasing maritime trade volumes, stringent regulatory requirements for vessel monitoring and safety, and the rising adoption of advanced technologies like IoT and AI for enhancing maritime surveillance and operational efficiency. The demand for real-time vessel tracking and data analytics is fueling the market's expansion, particularly within sectors such as port management, maritime security, and shipping logistics. Key players like Japan Radio, Garmin, and others are contributing to market growth through continuous innovation in hardware and software solutions, offering diverse features such as improved satellite connectivity, enhanced data processing capabilities, and sophisticated user interfaces. The market is segmented by various factors, including the type of system (e.g., onboard, shore-based), application (e.g., port management, fleet management), and geographical location. Further market expansion will be propelled by the integration of AIS data with other maritime information systems to provide a more comprehensive view of maritime operations. However, challenges such as the initial investment costs for implementing AIS systems, potential cyber security vulnerabilities, and the need for consistent regulatory frameworks across different regions might slightly temper the growth rate. Nonetheless, the long-term outlook for the AIS Ship Tracking System market remains positive, driven by the ongoing need for enhanced maritime safety, security, and efficiency. The continuous improvement in technology, decreasing costs of hardware and software, and the growing adoption of cloud-based solutions are poised to further boost market growth over the forecast period. This report provides a detailed analysis of the global AIS Ship Tracking System market, projecting a valuation exceeding $2.5 billion by 2028. It examines market dynamics, key players, technological advancements, and future growth prospects. This in-depth study is crucial for businesses, investors, and researchers seeking to understand and capitalize on opportunities within this rapidly evolving sector. High-search-volume keywords including AIS ship tracking, maritime surveillance, vessel monitoring, automatic identification system, ship tracking software, fleet management, and maritime security are integrated throughout.

The global Automatic Identification System (AIS) ship tracking system market, currently valued at $258 million in 2025, is projected to experience steady growth, fueled by increasing maritime trade and stringent regulations mandating vessel tracking for safety and security. A compound annual growth rate (CAGR) of 3.1% is anticipated from 2025 to 2033, indicating a substantial market expansion over the forecast period. Key drivers include the rising demand for enhanced maritime safety, the need for efficient fleet management, and the increasing adoption of Internet of Things (IoT) technologies for real-time data acquisition and analysis. Furthermore, advancements in AIS technology, such as improved accuracy and longer-range capabilities, are contributing to market growth. However, factors like high initial investment costs for AIS systems and the potential for cyber security vulnerabilities could act as restraints on market expansion. The market is segmented by various factors, including technology type (e.g., VHF, satellite-based), application (e.g., vessel tracking, port management), and end-user (e.g., shipping companies, government agencies). The competitive landscape is characterized by a mix of established players and emerging technology providers, including Japan Radio, Garmin, and several Chinese companies, each striving to gain market share through innovation and strategic partnerships. The market's growth trajectory is expected to be influenced by global economic conditions and geopolitical factors. Fluctuations in fuel prices and changes in international shipping regulations could affect the adoption rate of AIS systems. The increasing focus on environmental sustainability and the adoption of green shipping practices will also drive demand for more efficient and environmentally-friendly AIS solutions. The Asia-Pacific region is expected to exhibit robust growth due to the significant increase in maritime activity and infrastructure development in the region. Continuous technological advancements, including the integration of AIS data with other maritime intelligence platforms, will further fuel the market's expansion, leading to enhanced maritime safety, efficiency, and environmental protection. Further research focusing on the specific segmentations and regional breakdowns would offer a more granular understanding of this market's dynamic evolution.

Track the EVER ACT in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 352978199, IMO: 9893905

Track the PRIVACY in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 636024920, IMO: 1023358

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.