GSA Drive Thru

The Fleet dataset tracks Shared Service Canada’s vehicle inventory. It collects data like Make, Model, Year, Maintenance, Mileage and Purchase cost. *--No information on file since these units were initially purchased and maintained by RCMP

This dataset contains information on all non-confidential assets within the California State Vehicle Fleet. The purpose of this data is to provide vehicle information including sustainability measurements such as fuel types. The data is extracted from the Fleet Asset Management System utilized by the Department of General Services’ Office of Fleet and Asset Management. The dataset covers the timeframe from the calendar year 2015 until the calendar year 2024 and includes vehicle information reported by all agencies under the executive branch and constitutional offices.

Available online at www.nrel.gov/fleetdna, the Fleet DNA clearinghouse of commercial fleet vehicle operating data helps manufacturers and developers optimize vehicle designs and helps fleet managers choose advanced technologies for their fleets. Sponsored by the U.S. Department of Energy, this online tool provides data summaries and visualizations similar to real-world genetics for medium- and heavy-duty commercial fleet vehicles operating in a variety of vocations. If you use Fleet DNA data in a publication, please notify NREL at fleetdna@nrel.gov and include a citation consistent with the following format: “Fleet DNA Project Data.” ([YEAR]). National Renewable Energy Laboratory. Accessed [DATE]: www.nrel.gov/fleetdna.

Data Description: This dataset contains all basic information on the City of Cincinnati’s fleet. This includes but is not limited to asset types, original costs, maintenance classes, current meter and fueling information, maintenance schedules, owning departments, asset status codes, and estimate replacement information.

Data Creation: This dataset is maintained by the Fleet Services Division of the Department of Public Services (DPS). You can find more information on the Fleet Services Division here: https://www.cincinnati-oh.gov/public-services/about-public-services/fleet-services/

Data Created By: DPS

Refresh Frequency: Daily

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Developing daily duty cycle summaries for every vehicle-day within NREL’s Fleet DNA database was a key output of the FleetREDI project. This project captured second-by-second GPS and controller area network (CAN) data on in-use medium- and heavy-duty fleet vehicles and then summarized the data to provide an overview of vehicle operation throughout the United States. These data summaries were then displayed in aggregated formats on the FleetREDI dashboard, where users can explore the data within Fleet DNA. Fleet DNA’s clearinghouse of commercial fleet vehicle operating data helps vehicle manufacturers and developers optimize vehicle designs and helps fleet managers choose advanced technologies for their fleets. This online tool, which provides data summaries and visualizations similar to real-world "genetics" for medium- and heavy-duty fleet vehicles, helps users understand the broad operational range of commercial vehicles across vocations and weight classes.

The most extensive fleet database in Germany

Reach 100,000 vehicle fleets with more than 1 million vehicles in Germany Increase your sales success through individual selection options Prequalified and nation-wide up-to-date data Access from your desktop at the office or on the go

With our FleetBase® product portfolio, we offer you various options for sales support, starting with the identification of potential, the definition of a suitable target group for your offerings, as well as our B2B acquisition and appointment scheduling service. Depending on your needs, you can combine each of these steps and also use single services! Direct contact with fleet decision-makers gives you the opportunity to place your respective products and services effectively and thus achieve the best possible result.

The NMFS SWR collected historical vessel information on the U.S. tuna cannery baitboat and purse seine fleets for many years. The database's first record of a baitboat entering the fleet dates back to 1927. Individual trip dates and locations for the purse seine fleet have been collected since July 1982. Fleet operations have been conducted primarily in the north eastern and western central...

Fleet Data Access Governance Market Outlook

As per our latest research, the global Fleet Data Access Governance market size in 2024 stands at USD 2.48 billion, demonstrating robust momentum across key regions. The market is projected to grow at a CAGR of 15.7% from 2025 to 2033, reaching an estimated value of USD 8.77 billion by the end of 2033. This remarkable growth is primarily driven by increasing regulatory requirements, the proliferation of connected vehicles, and the rising need for secure and compliant access to fleet data across industries.

The expansion of the Fleet Data Access Governance market is underpinned by several critical growth factors. One of the most significant drivers is the rapid digital transformation within the transportation and logistics sector. As fleets become increasingly connected, the volume and complexity of data generated by telematics, IoT sensors, and vehicle management systems have surged. Organizations are now compelled to implement robust governance frameworks to ensure data integrity, compliance, and secure access management. This transformation is further accelerated by the global push towards smart mobility solutions, which demand real-time data sharing while safeguarding sensitive information against breaches and misuse. The need for seamless integration of data governance solutions with existing fleet management platforms also fuels demand for advanced software and services tailored to industry-specific requirements.

Another major growth factor is the escalating regulatory scrutiny and compliance mandates imposed by governments and industry bodies worldwide. Regulations such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and similar frameworks in other regions have heightened the emphasis on data privacy and access control. Fleet operators are required to establish transparent data governance policies, maintain auditable records of data access, and demonstrate compliance with evolving legal standards. Non-compliance can result in severe financial penalties and reputational damage, prompting organizations to invest heavily in comprehensive fleet data access governance solutions. This regulatory landscape is expected to become even more stringent, further propelling market growth over the forecast period.

The increasing adoption of analytics and artificial intelligence in fleet operations is also a pivotal growth factor. Advanced analytics and reporting tools enable organizations to extract actionable insights from vast datasets, optimize operational efficiency, and enhance decision-making processes. However, the integration of these tools necessitates robust data governance protocols to ensure the accuracy, reliability, and security of the underlying data. As organizations seek to leverage predictive analytics, machine learning, and real-time monitoring, the demand for sophisticated data access governance frameworks continues to rise. This trend is particularly pronounced among large enterprises with complex, multi-regional fleet operations, but is also gaining traction among small and medium enterprises seeking to remain competitive in an increasingly data-driven market.

From a regional perspective, North America currently dominates the Fleet Data Access Governance market, accounting for the largest share in 2024. This leadership position is attributed to the presence of major industry players, early adoption of advanced fleet technologies, and a highly regulated environment. Europe follows closely, driven by stringent data protection regulations and a mature automotive industry. The Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding logistics networks, and increasing investments in smart transportation infrastructure. Latin America and the Middle East & Africa, while currently representing smaller shares, are expected to witness steady growth as digital transformation initiatives gain momentum and regulatory frameworks evolve to address emerging data governance challenges.

Data Description

Dataset showing how much fuel each council vehicle has consumed, by year and by fuel type. Dataset guidance The following information refers to the columns in the data: Fleet = fleet number (specific number used to identify a vehicle) Vehicle = vehicle type Fuel = fuel used in litres Dist.Run = Total mileage for the reporting period MPG = Miles Per Gallon Type = D: Diesel, G: Gas Oil Due to problems and changes with the fuel system software this data is not available for 2017/18. Data for 2018/19 will be published.

This dataset provides data about the assets that are managed by the Division of Fleet Management. Assets fall into two categories: vehicle or equipment.

Fleet Management uses a point system that considers a variety of factors to determine which assets are recommended for replacement. An asset with 15 points or higher is recommended for replacement. For data about this dataset, please click on the below link: https://data.norfolk.gov/Government/Fleet/w26i-qme9/about_data

The Daily Fleet Service Report provides information on overall vehicle availability for all agencies within the City fleet, including the "DCAS Managed" fleet, which serves a number of Mayoral agencies. It also includes the Critical Fleet Summary, which tracks availability of vehicles assigned to key programs or functions, as well as availability of seasonal vehicles.

Brazil Vehicles Fleet: Tram: North: Amapá data was reported at 0.000 Unit in Feb 2019. This stayed constant from the previous number of 0.000 Unit for Jan 2019. Brazil Vehicles Fleet: Tram: North: Amapá data is updated monthly, averaging 0.000 Unit from Dec 2002 (Median) to Feb 2019, with 195 observations. The data reached an all-time high of 0.000 Unit in Feb 2019 and a record low of 0.000 Unit in Feb 2019. Brazil Vehicles Fleet: Tram: North: Amapá data remains active status in CEIC and is reported by National Traffic Department. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAK019: Vehicle Fleet: by Region: Tram. Tram: Electric propulsion vehicle that moves on tracks.

FOIA requests received by Fleet Management from May 1, 2010-December 31, 2011. For requests made after January 1, 2012, please see Fleet & Facility Management FOIA Request Log at https://data.cityofchicago.org/FOIA/FOIA-Request-Log-Fleet-Facility-Management/nd4p-ckx9

Brazil Vehicles Fleet: Automobile: Southeast: São Paulo data was reported at 18,317,839.000 Unit in Feb 2019. This records an increase from the previous number of 18,274,048.000 Unit for Jan 2019. Brazil Vehicles Fleet: Automobile: Southeast: São Paulo data is updated monthly, averaging 13,389,836.000 Unit from Dec 2002 (Median) to Feb 2019, with 195 observations. The data reached an all-time high of 18,317,839.000 Unit in Feb 2019 and a record low of 8,555,697.000 Unit in Dec 2002. Brazil Vehicles Fleet: Automobile: Southeast: São Paulo data remains active status in CEIC and is reported by National Traffic Department. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAK003: Vehicle Fleet: by Region: Automobile. Automobile: Motor vehicle designed to transport passengers, with seating for up to eight persons, excluding the driver.

This dataset describes the performance and fuel efficiency of AVTA test vehicles operating in commercial courier fleets the Phoenix, AZ metro area between 2010 and 2016. Aftermarket data loggers were installed in two to four vehicles of each of 30+ distinct year/make/models (see reference "INL Advanced Vehicle Testing Activity: On-road Logger and Laboratory Battery Pack Testing Vehicle List" for full list of vehicles). Loggers recorded vehicle operation as they were driven up to 160,000 miles in up to three years of fleet testing. Parameters were logged at 1-second intervals, including - vehicle speed, - engine and/or electric motor speed, - fuel and/or electricity consumption, and - ambient temperature. This dataset includes both raw second-by-second data and trip-level metrics. (This dataset will be shared by API; a small sample of the vehicle and logger data has been extracted and is available for download while the API is being developed.)

Data Description: This dataset shows the monthly usage and cost of fuel, parts, labor, and other services on assets in the City’s fleet of vehicles.

Data Creation: This dataset is updated for each vehicle each month

Data Created By: Fleet Services Division of the Department of Public Services

Refresh Frequency: Daily

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Safe Harbor Programs for Fleet Data Sharing Market Outlook

According to our latest research, the Global Safe Harbor Programs for Fleet Data Sharing market size was valued at $2.1 billion in 2024 and is projected to reach $6.8 billion by 2033, expanding at a robust CAGR of 13.7% during the forecast period of 2025–2033. The primary growth driver for this market is the increasing demand for secure and compliant data sharing frameworks, as fleets worldwide seek to optimize operations while adhering to evolving data privacy regulations. The adoption of safe harbor programs is rapidly accelerating as fleet operators recognize the dual value of operational efficiency and regulatory protection, particularly in the context of growing telematics integration and cross-border transportation activities. This shift is further bolstered by advancements in data analytics and the proliferation of connected vehicle ecosystems, making secure data exchange both a necessity and a competitive advantage.

Regional Outlook

North America currently commands the largest share of the Safe Harbor Programs for Fleet Data Sharing market, accounting for approximately 38% of the global market value in 2024. This dominance can be attributed to the region’s mature fleet management industry, widespread adoption of telematics solutions, and a robust regulatory framework that encourages data sharing under safe harbor provisions. The United States, in particular, has established clear guidelines for data privacy and compliance, which has fostered trust among fleet operators and technology providers. Additionally, the presence of leading telematics and fleet management companies, coupled with high investments in digital infrastructure, has further propelled market growth in North America. The region’s proactive approach to policy-making and its focus on technological innovation continue to set the benchmark for safe harbor programs globally.

Asia Pacific is emerging as the fastest-growing region in the Safe Harbor Programs for Fleet Data Sharing market, projected to register a CAGR of 17.5% from 2025 to 2033. This rapid expansion is driven by the exponential growth of commercial vehicle fleets, rising urbanization, and government initiatives to modernize transportation infrastructure. Countries such as China, India, and Japan are witnessing significant investments in intelligent transportation systems and telematics integration, creating fertile ground for safe harbor program adoption. The region’s unique regulatory landscape, characterized by a mix of stringent data privacy laws and supportive government incentives, is encouraging both local and international players to invest in secure data sharing solutions. As a result, Asia Pacific is poised to play a pivotal role in shaping the future trajectory of fleet data sharing standards.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing Safe Harbor Programs for Fleet Data Sharing, albeit at a slower pace due to infrastructural and regulatory challenges. In these regions, fleet operators often face hurdles such as inconsistent data protection laws, limited access to advanced telematics, and varying degrees of digital literacy. Nevertheless, there is a growing recognition of the benefits offered by safe harbor frameworks, particularly in mitigating compliance risks and enhancing fleet performance. Localized demand is being driven by the expansion of logistics and delivery services, as well as government-led smart mobility initiatives. As these economies continue to modernize and harmonize their regulatory environments, the adoption of safe harbor programs is expected to accelerate, unlocking new growth opportunities for market participants.

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Fleet Data App Marketplace Market Outlook

According to our latest research, the Global Fleet Data App Marketplace market size was valued at $2.1 billion in 2024 and is projected to reach $8.7 billion by 2033, expanding at a robust CAGR of 17.2% during the forecast period of 2024–2033. The primary driver fueling this remarkable growth is the increasing digitization and automation of fleet management operations, which is catalyzing the adoption of integrated data platforms and specialized applications across transportation, logistics, and other fleet-intensive sectors globally. Organizations are recognizing the immense value of real-time analytics, predictive maintenance, and compliance management, all of which are efficiently enabled by next-generation fleet data app marketplaces.

Regional Outlook

North America currently dominates the Fleet Data App Marketplace, accounting for the largest share of global revenue, estimated at over 38% in 2024. This leadership is attributed to the region’s mature telematics infrastructure, early adoption of cloud-based fleet management solutions, and stringent regulatory mandates around driver safety and emissions. The presence of major industry players, coupled with a high rate of fleet digitization among transportation and logistics companies, has further propelled market expansion. Additionally, government incentives for adopting smart transportation technologies and the proliferation of commercial vehicle fleets have created a fertile environment for app marketplace growth. North America’s focus on integrating artificial intelligence, IoT, and big data analytics into fleet operations is expected to sustain its market dominance through 2033.

Asia Pacific emerges as the fastest-growing region, projected to register a remarkable CAGR of 21.5% between 2024 and 2033. The region’s growth trajectory is shaped by rapid urbanization, booming e-commerce, and escalating demand for efficient transportation networks in countries such as China, India, and Southeast Asian nations. Significant investments in smart city projects, coupled with government-led initiatives to modernize public and commercial vehicle fleets, are accelerating the uptake of fleet data app marketplaces. Local and global technology providers are increasingly entering the Asia Pacific market, offering tailored solutions to address unique operational challenges. As fleet owners in the region seek to enhance route optimization, reduce fuel costs, and comply with evolving safety regulations, the adoption of advanced fleet data applications is set to soar.

Emerging economies in Latin America, the Middle East, and Africa are also witnessing growing interest in fleet data app marketplaces, albeit at a more gradual pace. In these regions, challenges such as limited digital infrastructure, fragmented regulatory frameworks, and budget constraints among smaller fleet operators have somewhat restrained adoption. However, there is a clear upward trend driven by the increasing need for operational efficiency, especially in sectors like oil & gas, mining, and construction. Localized demand for customized fleet solutions and policy shifts toward digital transformation are expected to gradually unlock new opportunities. As connectivity improves and governments prioritize smart mobility, these regions are poised for accelerated market entry and expansion in the coming years.

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