The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the North American Industry Classification System (NAICS). The NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

GDP from Transport in the United States increased to 744 USD Billion in the second quarter of 2025 from 735.30 USD Billion in the first quarter of 2025. This dataset provides - United States Gdp From Transportation and Warehousing- actual values, historical data, forecast, chart, statistics, economic calendar and news.

EUROSTAT maritime transport economic data can be found in two dataset: --> Table of trade and transport margins dataset Which data description is: Since September 2014, national accounts are compiled in accordance with the European System of Accounts - ESA 2010. Supply, use and input-output tables are part of the National Accounts transmission program. The timeliness for supply, use and input-output tables is set to 36 months after the end of the reference year. For example, data for the year 2015 should be transmitted to Eurostat not later tg-han by end of December 2018. The transmission program sets the requirements for the transmission of national data by Member States and partners countries. Every year countries transmit the supply and use tables. Every 5 years (for reference years ending with 0 or 5) countries transmit input-output tables (product by product) and detailed use tables at basic prices and valuation tables. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). The geographic coverage is the Member States of EU. Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union defines the requirements for Member States. The EU and EA consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU describe the aggregation of the EU Member States data, from which the intra trade data has been treated (respectively for the Euro Area). The data is presented in a framework where the domestic part corresponds to the area of EU, the import part corresponds to imports from outside of the area EU. --> and in the structural business statistics - historical data (sbs_h) Which data description is: Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises) "Output related" variables (e.g. Turnover, Value added) "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated. Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available. Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Success.ai’s Transport and Logistics Data provides comprehensive, verified B2B contact and company information tailored for the global logistics sector. Drawing from a database of over 170 million verified professional profiles and 30 million company profiles, this dataset delivers accurate contact details, firmographic insights, and operational data on logistics service providers, freight forwarders, trucking companies, 3PLs, and supply chain management firms worldwide. Whether you’re targeting key decision-makers for partnerships, offering freight optimization technology, or conducting market research, Success.ai ensures your outreach and strategic planning are anchored in reliable, continuously updated, and AI-validated data.

Why Choose Success.ai’s Transport and Logistics Data?

1. Comprehensive Contact Information

   • Access verified work emails, direct phone numbers, and LinkedIn profiles of logistics leaders, operations managers, procurement officers, and supply chain directors.
   • AI-driven validation ensures 99% accuracy, allowing confident communication and reducing wasted outreach efforts.

2. Global Reach Across the Logistics Sector

   • Includes profiles from freight carriers, warehousing solutions, customs brokers, freight forwarders, and last-mile delivery companies.
   • Covers regions including North America, Europe, Asia-Pacific, South America, and the Middle East, giving you a panoramic view of logistics networks worldwide.

3. Continuously Updated Datasets

   • Real-time updates ensure your data remains current, reflecting changes in leadership, service offerings, and operational expansions in the rapidly evolving logistics industry.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing that your outreach and data usage align with legal and ethical standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Connect with logistics professionals, key decision-makers, and operational leaders.
• 50M Work Emails: AI-validated for seamless communication with minimized bounce rates.
• 30M Company Profiles: In-depth firmographic and operational insights on logistics companies worldwide.
• 700M Global Professional Profiles: Enriched datasets to support competitive analysis, market entry strategies, and global expansion.

Key Features of the Dataset:

1. Logistics Decision-Maker Profiles

   • Identify and connect with CEOs, COOs, logistics managers, route planners, and procurement specialists influencing transportation strategies, warehousing decisions, and supply chain optimization.

2. Operational Firmographics and Insights

   • Access data on fleet size, service areas, warehouse locations, technology adoption, and shipping volumes to refine targeting and tailor your value propositions.
   • Utilize detailed operational insights to understand capacity constraints, specialization areas, and strategic priorities.

3. Advanced Filters for Precision Targeting

   • Filter contacts by mode of transportation (road, rail, air, sea), geographic coverage, company size, or industry specialization.
   • Align campaigns with unique market conditions, regulatory environments, and customer demands.

4. AI-Driven Enrichment

   • Profiles are enriched with actionable data, enabling personalized messaging, highlighting value-add solutions, and improving engagement outcomes with logistics stakeholders.

Strategic Use Cases:

1. Sales and Business Development

   • Engage with freight forwarders, trucking companies, and 3PL executives to present transportation management systems, visibility tools, or cost-reduction strategies.
   • Build relationships with leaders who control capacity planning, vendor selection, and route optimization.

2. Market Research and Competitive Analysis

   • Gain insights into emerging logistics hubs, evolving supply chain models, and technology adoption rates.
   • Benchmark against industry leaders to inform product innovation, pricing strategies, and market entry plans.

3. Partnership and Network Building

   • Identify potential partners for intermodal solutions, joint ventures, or collaborative warehousing arrangements.
   • Target logistics professionals interested in sustainability initiatives, e-commerce integrations, and cross-border trade solutions.

4. Recruitment and Talent Acquisition

   • Find HR professionals and operations managers seeking qualified drivers, dispatchers, warehouse staff, and logistics analysts.
   • Offer recruitment services or training programs to companies aiming to enhance operational efficiency and workforce quality.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access top-quality verified data at competitive prices, ensuring maximum ROI for your outreach and expansion efforts in the logistics sector.

2. Seamless Integration

   • Integrate verified contact an...

Market Inside is a global leader in providing import-export data and analytics for the major industries and markets. We accelerate business progress by delivering essential intelligence that unlocks opportunities and fosters growth.

Our database contains: • 195+ Countries’ Global Trade Data • 6+ Billion Importer-Exporter Shipment Records • 25+ Million Import-Export Companies • 40+ Million Decision Maker Direct Phone Numbers • 50+ Million Decision Maker Direct Email Addresses

By using our dashboard, customers can access: • Bill of lading data by HS Code or product description. • Product specifications like brand, model, type, etc. • Company information like name, size, location and so on. • Companies’ business information such as market share, industry, etc. • Contacts data including name & profile of employees and phone numbers & email addresses of key decision makers. • Location data like origin country, destination and port of loading & unloading. • Our import export data can be used by investment firms and banks, private equity firms, hedge funding corporations, government agencies, insurance firms, corporations, exporters and importers, environmental studies agencies, academics, logistics, pharma, FMCG, Consulting, Law Firms and other private players to track, analyze, research and gain better insights of global trade of more than 50M+ Commodities.

For data authenticity, we collect raw data from the most genuine sources like Federal & State Government, Embassies, Customs & Taxes Departments, Ministries, Ports Authorities and filter information to remove duplicates and make every detail clean and error-free. Our database is updated frequently and customers can directly view and download shipment records on keywords of their choice in seconds anywhere and anytime

Success.ai’s Transport and Logistics Data for Transportation, Trucking & Railroad Industry Leaders Globally provides a robust and reliable dataset designed to connect businesses with decision-makers and professionals across the transportation and logistics sectors. Covering leaders in trucking, railroads, and supply chain management, this dataset offers verified contact details, firmographic insights, and actionable business data.

With access to over 700 million verified global profiles and insights from key logistics companies, Success.ai ensures your marketing, sales, and operational strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is ideal for navigating the ever-evolving transport and logistics industries.

Why Choose Success.ai’s Transport and Logistics Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of executives, fleet managers, and supply chain leaders in transportation, trucking, and railroads.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and optimizing engagement.

2. Comprehensive Global Coverage

   • Includes profiles of professionals from major transportation hubs and logistics companies worldwide, including North America, Europe, and Asia-Pacific.
   • Gain insights into global transportation trends, logistics strategies, and supply chain innovations.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership, market expansions, and operational strategies.
   • Stay ahead of industry developments and identify emerging opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data.

Data Highlights:

• 700M+ Verified Global Profiles: Engage with professionals and decision-makers in transportation, trucking, and railroads worldwide.
• Leadership and Professional Insights: Access profiles of CEOs, fleet managers, and logistics experts driving the transport sector.
• Verified Contact Details: Gain phone numbers, work emails, and LinkedIn profiles for precise targeting.
• Firmographic Data: Understand company structures, operational capacities, and regional market footprints.

Key Features of the Dataset:

1. Decision-Maker Profiles in Transport and Logistics

   • Identify and connect with professionals managing trucking fleets, railroad operations, and supply chain logistics.
   • Target individuals responsible for fleet optimization, operational efficiency, and vendor selection.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (transportation, trucking, railroads), geographic location, or job function.
   • Tailor campaigns to address specific challenges, such as fleet electrification, route optimization, or regulatory compliance.

3. Industry and Regional Insights

   • Leverage data on global transportation trends, freight logistics, and emerging technologies in trucking and railroads.
   • Refine strategies to align with regional needs and market conditions.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Promote logistics software, fleet management tools, or operational solutions to transportation and trucking professionals.
   • Build relationships with railroads and supply chain companies seeking innovative strategies for efficiency and cost management.

2. Market Research and Competitive Analysis

   • Analyze global trends in transportation and logistics to guide product development, marketing strategies, and business expansion plans.
   • Benchmark against competitors to identify growth opportunities and emerging market demands.

3. Partnership Development and Collaboration

   • Engage with logistics leaders, transportation companies, and railroads exploring partnerships for supply chain optimization or technology adoption.
   • Foster alliances that expand market reach and enhance operational capabilities.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in transportation and logistics sectors recruiting for roles in fleet management, supply chain operations, or rail transport.
   • Provide workforce optimization platforms or training solutions tailored to the industry.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality transport and logistics data at competitive prices, ensuring strong ROI for your outreach, marketing, and operational initiatives.

2. Seamless Integration

   • Integrate verified data into CRM systems, analytics tools, or marketing platforms via APIs o...

This dataset provides modelled outputs of GVA and employment in NSW, including in-house, for-hire, and upstream types. Data are in the format of csv.

The data are available on specific levels of:

• SA3
• Industry
• Mode
• Year (base year 2022-2023, forecasts every five years until 2060-2061)
• Disaggregation scenario

The dataset is modelled based on Value of Freight Transport and Logistics Sector.

Data Quality Tools for Transportation Datasets Market Outlook

As per our latest research, the global Data Quality Tools for Transportation Datasets market size reached USD 1.58 billion in 2024, exhibiting robust demand driven by the digital transformation of the transportation sector. The market is expected to expand at a CAGR of 13.6% from 2025 to 2033, reaching an estimated USD 4.72 billion by 2033. This strong growth trajectory is underpinned by the increasing adoption of advanced analytics, IoT, and AI-powered solutions across transportation networks, as organizations prioritize operational efficiency, safety, and regulatory compliance.

The growth of the Data Quality Tools for Transportation Datasets market is primarily fueled by the sector’s rapid digitization and the explosion of data generated from connected vehicles, smart infrastructure, and real-time monitoring systems. Transportation organizations, including logistics firms, public transit agencies, railways, airlines, and maritime operators, are increasingly reliant on high-quality data to support critical decision-making, optimize routes, and enhance customer experiences. As the volume, variety, and velocity of transportation data continue to surge, the need for robust data quality management tools becomes more pronounced to ensure accuracy, consistency, and reliability across diverse datasets.

Another key growth factor is the growing emphasis on regulatory compliance and risk mitigation within the transportation industry. Governments and regulatory bodies worldwide are introducing stringent data governance and reporting requirements to improve safety, security, and environmental sustainability. Data quality tools play a pivotal role in enabling organizations to maintain clean, validated, and audit-ready datasets, thereby reducing the risks of non-compliance, penalties, and operational disruptions. Additionally, the integration of data quality solutions with advanced analytics and machine learning platforms allows transportation entities to unlock actionable insights, predict maintenance needs, and proactively manage assets, further driving market expansion.

Furthermore, the proliferation of cloud-based deployment models and the increasing accessibility of data quality tools for organizations of all sizes are propelling market growth. Cloud-based solutions offer scalability, flexibility, and cost-efficiency, making them particularly attractive to small and medium-sized enterprises (SMEs) as well as large transportation conglomerates. The advent of API-driven platforms and modular software architectures also enables seamless integration with existing transportation management systems, telematics, and IoT frameworks, accelerating the adoption of data quality tools across the industry.

From a regional perspective, North America continues to dominate the Data Quality Tools for Transportation Datasets market due to its advanced transportation infrastructure, high digital maturity, and early adoption of innovative technologies. However, Asia Pacific is rapidly emerging as a key growth engine, driven by large-scale investments in smart cities, expanding logistics networks, and government initiatives to modernize public transportation systems. Europe also represents a significant market, with a strong focus on sustainability, cross-border logistics, and regulatory harmonization, while Latin America and the Middle East & Africa are witnessing gradual adoption, supported by ongoing infrastructure development and digital transformation efforts.

Component Analysis

The Data Quality Tools for Transportation Datasets market is segmented by component into Software and Services, each playing a critical role in enabling organizations to manage, validate, and enhance their transportation datasets. The software segment encompasses a wide array of solutions, including data cleansing, data profiling, data matching, and data enrichment tools. These software solutions are designed to automate data quality processes, reduce manual intervention, and ensure that transportation data is accurate, consistent, and usable for downstream analytics and operational applications. The rising complexity of transportation networks and the diversity of data sources—from GPS and telematics to ticketing and cargo management systems—are driving demand for comprehensive software platforms that can handle large-scale, het

The company which provided the dataset is the world leader in manufacturing of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The current revenue of the company is estimated to be on the order of tens of billions and they sell products and parts via a worldwide dealer network. The company sells more than 3 million products and 700,000 parts in more than 20 countries around the world every year. They operate with more than 3,000 suppliers and 3,000 dealerships and their logistics operations alone are worth more than 60 million dollars per year. The dataset provided is one example of supply chain problem for one product of the company - a medium size excavator.

This dataset shows the Value added of services sub-sector (Utilities, Transport, Storage & Communication) by state, 2005-2020 at constant prices Notes: Supra State covers production activities that beyond the centre of predominant economic interest for any state Not applicable For base year 2005, the values for year 2012 are estimate and the values for year 2013 are preliminary For base year 2010, the values for year 2016 are estimate and the values for year 2017 are preliminary For base year 2015, the values for year 2019 are estimate and the values for year 2020 are preliminary DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 63

Techsalerator’s Import/Export Trade Data for Bhutan

Techsalerator’s Import/Export Trade Data for Bhutan offers a detailed and insightful overview of international trade involving Bhutanese companies. This dataset provides an in-depth analysis of trade transactions, capturing and categorizing imports and exports across various industries within Bhutan.

To access Techsalerator’s Import/Export Trade Data for Bhutan, please contact us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a tailored quote based on your data needs, with delivery available within 24 hours. We can also discuss options for ongoing access.

Techsalerator's Import/Export Trade Data for Bhutan includes comprehensive information from customs reports, trade agreements, and shipping records. This dataset helps businesses, investors, and trade analysts gain a clear understanding of Bhutan’s trade environment.

Key Data Fields

Company Name: Provides details about the companies involved in trade transactions. This helps identify potential business partners or competitors and track industry-specific trade patterns. Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities. Product Category: Specifies the types of goods traded, such as raw materials or finished products, assisting in understanding market demand and supply chain dynamics. Import/Export Country: Identifies the countries of origin or destination for traded goods, providing insights into regional trade relationships and market access. Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in Bhutan

Trade Balance Dynamics: Bhutan’s trade balance is influenced by major partners such as India and China. Ongoing trade negotiations and policy adjustments aim to address imbalances and strengthen trade relationships. Bhutan-India Trade Relations: The trade relationship with India is crucial, significantly impacted by agreements such as the Bhutan-India Trade Agreement. This partnership shapes many aspects of Bhutan's trade policies and practices. Expansion of Trade Networks: Bhutan is working to diversify its trade partners and markets beyond traditional allies, reflecting a trend toward broader global trade engagement. Growth in Hydropower Exports: Bhutan’s hydropower sector continues to be a significant component of its export economy, with substantial energy exports to neighboring countries. Focus on Sustainable Practices: There is an increasing emphasis on integrating sustainability into trade practices, promoting environmentally friendly methods and technologies.

Notable Companies in Bhutanese Trade Data

Druk Holding and Investments: A key player in Bhutan's trade sector, involved in a variety of import and export activities, including industrial and consumer goods. Bhutan Power Corporation: A major entity in the export of hydropower to neighboring countries, significantly impacting Bhutan's energy trade. Tashi Group: Engaged in a wide range of business activities, including the import and export of consumer goods and industrial products. Bhutan International Bank: Plays a role in trade financing and facilitating international trade transactions, contributing to Bhutan’s trade dynamics. Royal Textile Academy: Involved in exporting traditional Bhutanese textiles, showcasing Bhutan’s unique cultural products on the global stage.

Accessing Techsalerator’s Data

To access Techsalerator’s Import/Export Trade Data for Bhutan, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

Company Name Trade Volume Product Category Import/Export Country Transaction Date Shipping Details Customs Codes Trade Value

For detailed insights into Bhutan’s import and export activities and trends, Techsalerator’s dataset is an essential resource for staying informed and making strategic decisions.

The Transportation Satellite Accounts (TSAs) provide a means for measuring the contribution of transportation services to the national economy. Prior to the TSAs, the magnitude of transportation services had long been underestimated, as most national measures counted only the value of for-hire services. Measurement of services provided only by for-hire firms misses the sizable contribution of transportation services that take place within nontransportation industries, termed as in-house transportation.

To more accurately measure transportation services, the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation and the Bureau of Economic Analysis (BEA) of the U.S. Department of Commerce, jointly developed the Transportation Satellite Accounts (TSAs). The TSAs, as a supplement to the U.S. Input-Output (I-O) Accounts, measure the contribution of both for-hire and in-house transportation. The TSAs include all seven of the for-hire transportation industries reported in the U.S. I-O accounts and four in-house transportation modes.

The turnover of the transportation and storage industry in the United Kingdom increased by 7 billion euros (+3.22 percent) since the previous year. In total, the turnover amounted to 223.1 billion euros in 2018. For the purpose of Eurstat Dataset NACE Rev.2 Section K turnover comprises the totals invoiced by the observation unit during the reference period, which corresponds to market sales of goods or services supplied to third parties.Find more statistics on the transportation and storage industry in the United Kingdom with key insights such as number of enterprises, production value, personnel costs, and number of employees.

Containerized Freight Index traded flat at 1,114.52 Points on October 7, 2025. Over the past month, Containerized Freight Index's price has fallen 22.84%, and is down 47.80% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Containerized Freight Index.

work with sales data from a fictitious company that sells products in all corners of the world world. Dashboard should answer the questions below: work with sales data from a fictitious company that sells products in every corner of the world world. The dataset is available for download via the attachment icon in the upper right corner. Our Dashboard should answer the questions below: • Question 1 - What is the average Profit margin per year, quarter and month? • Question 2 - What is the average sales value? • Question 3 - What is the average shipping cost per item? • Question 4 - What is the sales value per shipping method? • Question 5 - What is the average shipping cost per market? Created key performance indicator (KPI)

Data Quality Tools for Transportation Datasets Market Outlook

According to our latest research, the global Data Quality Tools for Transportation Datasets market size reached USD 1.47 billion in 2024, demonstrating a robust foundation for ongoing growth. The market is projected to expand at a CAGR of 12.3% through the forecast period, reaching an estimated USD 4.16 billion by 2033. This impressive trajectory is driven by the increasing digitization of transportation operations, the proliferation of big data analytics in logistics, and the critical need for reliable, actionable, and high-integrity data across all transportation segments. As per our latest research, the surge in connected vehicles, IoT-enabled transport infrastructure, and regulatory mandates for data governance are pivotal growth factors shaping the market outlook.

A key driver propelling the Data Quality Tools for Transportation Datasets market is the exponential growth of data generated by modern transportation networks. The adoption of IoT devices, GPS tracking, telematics, and automated fare collection systems has resulted in vast datasets that require sophisticated tools for data cleansing, profiling, and monitoring. Transportation agencies and logistics firms are increasingly recognizing that poor data quality can lead to inefficiencies, regulatory non-compliance, and suboptimal decision-making. As a result, there is a pronounced shift toward implementing advanced data quality solutions that ensure accuracy, consistency, and completeness of transportation datasets. This focus on data integrity is further amplified by the growing reliance on predictive analytics and AI-driven insights, which demand high-quality input data for optimal performance.

Another significant growth factor is the evolving regulatory landscape governing transportation data management. Governments and industry bodies across North America, Europe, and Asia Pacific are instituting stringent data governance and privacy frameworks, compelling transportation organizations to invest in robust data quality tools. These regulatory requirements mandate regular data audits, validation, and reporting, driving the adoption of automated and scalable data quality solutions. Furthermore, the increasing integration of multimodal transportation systems and the rise of Mobility-as-a-Service (MaaS) platforms are intensifying the need for seamless data interoperability and standardization, which can only be achieved through comprehensive data quality management practices.

Technological advancements and the growing complexity of transportation networks are also spurring market growth. The transition to smart cities, intelligent transportation systems (ITS), and real-time fleet management solutions necessitates high-quality, real-time data streams. Data quality tools that offer real-time data cleansing, anomaly detection, and automated data matching are becoming indispensable for transportation agencies aiming to enhance operational efficiency and passenger experience. In addition, the increasing adoption of cloud-based data platforms is enabling scalable and cost-effective deployment of data quality solutions, making them accessible to a broader range of end-users, including small and medium-sized logistics providers.

From a regional perspective, North America currently leads the Data Quality Tools for Transportation Datasets market, driven by early technology adoption, mature transportation infrastructure, and strong regulatory oversight. However, Asia Pacific is witnessing the fastest growth, fueled by rapid urbanization, expanding smart city initiatives, and significant investments in transportation digitalization. Europe remains a key market, supported by cross-border logistics integration and robust data privacy regulations. Latin America and the Middle East & Africa are emerging as promising markets, with increasing government focus on transportation modernization and digital transformation. These regional trends collectively underscore the global momentum toward data-driven transportation ecosystems.

Component Analysis

Overview

The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine and near-surface ocean platforms. Each marine report contains individual observations of meteorological and oceanographic variables, such as sea surface and air temperatures, wind, pressure, humidity, and cloudiness. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems.

Content

The ICOADS dataset contains global marine data from ships (merchant, navy, research) and buoys, each capturing details according to the current weather or ocean conditions (wave height, sea temperature, wind speed, and so on). Each record contains the exact location of the observation which is great for visualizations. The historical depth of the data is quite comprehensive — There are records going back to 1662!

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.github_repos.[TABLENAME]. Fork this kernel to get started to learn how to safely manage analyzing large BigQuery datasets.

Acknowledgements

Dataset Source: NOAA Category: Meteorological, Climate, Transportation

Citation: National Centers for Environmental Information/NESDIS/NOAA/U.S. Department of Commerce, Research Data Archive/Computational and Information Systems Laboratory/National Center for Atmospheric Research/University Corporation for Atmospheric Research, Earth System Research Laboratory/NOAA/U.S. Department of Commerce, Cooperative Institute for Research in Environmental Sciences/University of Colorado, National Oceanography Centre/Natural Environment Research Council/United Kingdom, Met Office/Ministry of Defence/United Kingdom, Deutscher Wetterdienst (German Meteorological Service)/Germany, Department of Atmospheric Science/University of Washington, and Center for Ocean-Atmospheric Prediction Studies/Florida State University. 2016, updated monthly. International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Individual Observations. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory: https://doi.org/10.5065/D6ZS2TR3. Accessed 01 04 2017.

Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Photo by Gleb Kozenko on Unsplash

The turnover of the air transport industry in Austria increased by 1.7 billion euros (+71.39 percent) in 2022. Therefore, the turnover in Austria reached a peak in 2022 with 4 billion euros. For the purpose of Eurstat Dataset NACE Rev.2 Section K turnover comprises the totals invoiced by the observation unit during the reference period, which corresponds to market sales of goods or services supplied to third parties.Find more statistics on the air transport industry in Austria with key insights such as number of enterprises, production value, personnel costs, and number of employees.

The volume of air-freight transport in Norway was forecast to continuously increase between 2024 and 2029 by in total 0.01 billion ton-kilometers (+6.25 percent). The volume of air-freight transport is estimated to amount to 0.17 billion ton-kilometers in 2029. As defined by Worldbank, air freight refers to the summated volume of freight, express and diplomatic bags carried across the various flight stages (from takeoff to the next landing). The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the volume of air-freight transport in countries like Iceland and Finland.

Over the summer of 2013, the Cabinet Office started to develop the processes to support the maintenance of a dynamic NII. We can now launch a first iteration which will be the basis for user feedback and the identification of additional datasets. The processes for defining the NII can be broadly outlined as follows: a) Identifying and maintaining an inventory of data held by government; b) Prioritising data to be included in the NII; and c) Supporting organisations to release data, where possible. The Cabinet Office has developed an over-arching framework for the NII to be used as a “thinking tool” in engaging with the NII. Without this framework it will be hard to communicate the function and benefits of the NII. The framework combines a high-level categorisation of government data and characteristics of different types of data to provide a framework for the processes and identify early candidates for inclusion in the NII. The data themes in the framework for the NII relate primarily to characteristics of the organisation which hold the data and also reflect the high level categories of data in the G8 Open Data Charter. Transparency was one of the key three priorities of the recent G8, chaired by the UK where all G8 Leaders signed up to a set of principles specified in an Open Data Charter. G8 members identified 14 high-value areas, jointly regarded as data that will help unlock the economic potential of open data, support and encourage innovation, and provide greater accountability to improve our democracies. The UK has aligned these categories to inform the creation of its NII. Datasets listed against Transport and Infrastructure include datasets owned and held by government agencies, ALBs and the wider transport industry, reflecting the organisation of information in the sector. Overlaying these data themes, we have analysed user feedback, ODUG benefits cases, applications and services which successfully use government data, and expert feedback to develop 4 primary uses of data. These are: a) Location: Geospatial data which can inform mapping and planning. b) Performance and Delivery: Data which shows how effectively public bodies and services are fulfilling their public tasks and the delivery of policy. c) Fiscal: Government spend, procurement and contractual data as well as data about the financial management of public sector activities. This also includes data that government holds about companies which may be of value to users. d) Operational: Data about the operational structure, placement of public service delivery points and the nature of the resources available within each of them.