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...

The United States pioneered in transportation and logistics innovation. A 2024 survey shows 38 percent of companies operating in this field used location data and internet-of-things for real-time tracking of their shipments and inventory. In turn, only 31 percent of German companies did the same, whereas UK competitors stood at 26 percent.

This layer contains geodata about global railways

Global supply routes for Transportation of Food and Non Food Items - Roads, Railways, Waterway, Airways.

This layer is built by linking origin/destination locations using the most direct route on main roads. In reality, the supply routes can divert from the ones displayed here depending on many local factors. The routes shown in this dataset are only indicative and have to be used as such.

This layer contains information about bridges

This layer contains information about global station of bus, train and ferry

This layer contains ports locations. This dataset brings together various public sources with WFP logistics information. It is updated regularly with inputs from WFP logistics but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.

This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.

Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

Access verified Transport and Logistics Data for logistics professionals globally with Success.ai. Includes work emails, phone numbers, and decision-maker insights. Best price guaranteed.

Logistics Data Lake Platform Market Outlook

According to our latest research, the global Logistics Data Lake Platform market size reached USD 1.8 billion in 2024, driven by the demand for scalable, real-time analytics in logistics operations. The market is expected to grow at a robust CAGR of 21.3% from 2025 to 2033, with the forecasted market size projected to reach USD 12.1 billion by 2033. This impressive growth is underpinned by the rapid digital transformation across logistics, increasing volumes of unstructured data, and the need for advanced analytics to optimize supply chain performance and cost efficiency. As per our latest research, logistics organizations worldwide are accelerating investments in data lake platforms to harness big data, enable predictive analytics, and drive operational excellence.

A key growth factor for the Logistics Data Lake Platform market is the exponential rise in data generated from IoT devices, telematics, RFID sensors, and connected supply chain assets. Logistics providers are increasingly leveraging these data sources to gain real-time visibility into shipments, inventory, and transportation networks. Data lake platforms empower these organizations to ingest, store, and process vast volumes of structured and unstructured data, which traditional data warehouses cannot handle efficiently. This capability is essential for advanced analytics, such as route optimization, demand forecasting, and anomaly detection, which drive both cost savings and improved customer satisfaction. As logistics companies strive for digital maturity, the adoption of data lake technologies is becoming a strategic imperative.

Another significant driver is the integration of artificial intelligence (AI) and machine learning (ML) with logistics data lake platforms. The convergence of AI/ML with big data enables predictive maintenance of fleet assets, dynamic pricing, and real-time supply chain risk management. Leading logistics enterprises are utilizing these platforms to automate and optimize complex workflows, from inventory management to last-mile delivery. The ability to unify disparate data sources and apply AI-driven insights is transforming decision-making processes, reducing manual intervention, and enhancing agility in responding to market disruptions. As the logistics sector faces increasing pressure to deliver faster, cheaper, and more reliable services, the role of data lake platforms in enabling intelligent automation is poised for rapid expansion.

Furthermore, regulatory compliance and data governance requirements are fueling the adoption of logistics data lake platforms. With the proliferation of data privacy regulations such as GDPR and CCPA, logistics companies must ensure secure, auditable, and compliant data management. Data lake platforms provide centralized control, data lineage tracking, and robust security features to meet these regulatory demands. Additionally, the growing need for seamless collaboration across global supply chain partners necessitates scalable data sharing and integration capabilities, which data lake solutions are uniquely positioned to deliver. As logistics networks become more interconnected and data-driven, robust data governance is emerging as a critical differentiator for industry leaders.

From a regional perspective, North America currently leads the Logistics Data Lake Platform market due to the early adoption of digital technologies by major logistics and e-commerce players. Europe follows closely, driven by stringent data regulations and a strong focus on supply chain innovation. The Asia Pacific region is witnessing the fastest growth, fueled by expanding e-commerce, infrastructure development, and government initiatives to modernize logistics. Latin America and the Middle East & Africa are also showing promising adoption trends, supported by investments in smart logistics and digital transformation projects. Regional dynamics are shaped by factors such as technology readiness, regulatory environments, and the maturity of logistics ecosystems, influencing the pace and scale of data lake platform adoption worldwide.

Component Analysis

The Component segment of the Logistics Data Lake Platform market is broadly categorized into Software and Services. The software component comprises core data lake platform solutions, including data ingestion, storage, processing, analytics, and visualizati

This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.

This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.

Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

Lebanon LB: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data was reported at 2.643 NA in 2016. This records an increase from the previous number of 2.528 NA for 2014. Lebanon LB: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data is updated yearly, averaging 2.528 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.050 NA in 2010 and a record low of 2.140 NA in 2007. Lebanon LB: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

China Logistics Industry: Logistics Value data was reported at 352,400.000 RMB bn in 2023. This records an increase from the previous number of 347,600.000 RMB bn for 2022. China Logistics Industry: Logistics Value data is updated yearly, averaging 75,228.300 RMB bn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 352,400.000 RMB bn in 2023 and a record low of 3,029.100 RMB bn in 1991. China Logistics Industry: Logistics Value data remains active status in CEIC and is reported by China Federation of Logistics & Purchasing. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TL: Logistics Value.

Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data was reported at 3.900 NA in 2022. This records a decrease from the previous number of 4.180 NA for 2018. Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data is updated yearly, averaging 4.050 NA from Dec 2007 (Median) to 2022, with 7 observations. The data reached an all-time high of 4.180 NA in 2018 and a record low of 3.636 NA in 2014. Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank.WDI: Transportation. Data are from the Logistics Performance Index survey conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. Respondents evaluate eight countries on six core dimensions on a scale from 1 (worst) to 5 (best). The eight countries are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. The 2023 LPI survey was conducted from September 6 to November 5, 2022. It provided 4,090 country assessments by 652 logistics professionals in 115 countries in all World Bank regions. Details of the survey methodology and index construction methodology are included in Appendix 5 of the 2023 LPI report available at: https://lpi.worldbank.org/report. Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.;Data are available online at: https://lpi.worldbank.org/. Summary results are published in World Bank (2023): Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators.;Unweighted average;

MK: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data was reported at 2.357 NA in 2016. This records a decrease from the previous number of 2.514 NA for 2014. MK: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data is updated yearly, averaging 2.514 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.760 NA in 2010 and a record low of 2.330 NA in 2007. MK: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macedonia – Table MK.World Bank.WDI: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

There are 7 tables in total, the task is, to assign routes to the Orders in the "Order List" Table given the restrictions (e.g. weight restriction). - The order list already contains Historical data of how the orders were assigned in the past.

Please refer to https://brunel.figshare.com/articles/dataset/Supply_Chain_Logistics_Problem_Dataset/7558679 for further clarification.

The other 6 tables describe the restrictions imposed on the system. - some customers can only be serviced by a specific plant - plants and ports have to be physically connected. - plants can only handle specific items

Notes:

• The terms "Warehouse" and "Plant" are used interchangeably, essentially a warehouse is a plant.

• This is a (deterministic) optimization problem, there is only one order date since we are only looking at orders from one specific day and trying to assign them to routes/factories.

• We have to ship all the orders to PORT09

• The goal is to schedule routes while minimizing freight and warehousing costs.

• I am also just working on understanding the Dataset, maybe we can have a discussion in the comment section for clarifications.

Acknowledgements:

This dataset was taken from the Brunel University of London Website

Logistics data for COVID-19 related personal protective equipment

Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data was reported at 3.312 NA in 2016. This records a decrease from the previous number of 3.641 NA for 2014. Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data is updated yearly, averaging 3.312 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.641 NA in 2014 and a record low of 3.230 NA in 2010. Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank.WDI: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

The Logistics Automation Market report segments the industry into Warehouse Automation Market (By Component, By End-user Industry, By Geography), Global Transportation Automation Market Scenario, and Other Global Transportation Automation Market Scenarios. Get five years of historical data alongside five-year market forecasts.

Data Center Equipment Logistics Market Outlook

According to our latest research, the global Data Center Equipment Logistics market size reached USD 12.8 billion in 2024, reflecting robust expansion across all key segments. The market is exhibiting a healthy compound annual growth rate (CAGR) of 7.2% and is projected to reach USD 23.5 billion by 2033, as per our detailed analysis. This growth trajectory is primarily attributed to the surge in data center construction, increasing demand for cloud services, and the proliferation of hyperscale data centers worldwide.

One of the primary growth drivers for the Data Center Equipment Logistics market is the accelerating digital transformation initiatives among enterprises and government agencies. As organizations continue to migrate critical workloads to the cloud and adopt hybrid IT models, there is a growing need for efficient and secure transportation, installation, and inventory management of data center equipment. The rise of edge computing and the Internet of Things (IoT) has further fueled demand, necessitating the rapid deployment of micro data centers in geographically dispersed locations. This has created a complex logistics environment that requires specialized service providers capable of managing high-value, sensitive equipment with precision and reliability.

Another significant factor propelling the growth of the data center equipment logistics market is the increasing adoption of advanced technologies such as automation, robotics, and real-time tracking systems within logistics operations. These innovations have enabled logistics providers to enhance supply chain visibility, optimize inventory management, and minimize downtime during data center buildouts or upgrades. Moreover, the integration of artificial intelligence (AI) and machine learning into logistics processes is helping companies predict demand, streamline route planning, and ensure the safe handling of delicate equipment. These technological advancements not only improve operational efficiency but also reduce costs and mitigate risks associated with equipment damage or loss.

Sustainability initiatives are also playing a pivotal role in shaping the future of the data center equipment logistics market. With increasing pressure to reduce carbon footprints and adhere to stringent environmental regulations, logistics providers are investing in greener transportation modes, energy-efficient warehousing solutions, and eco-friendly packaging materials. The adoption of electric vehicles for last-mile delivery, the implementation of smart warehouse management systems, and the use of recyclable packaging are some of the strategies being deployed to align with the sustainability goals of data center operators and their clients. This shift towards sustainable logistics practices is expected to further drive market growth, as companies seek partners who can help them achieve their environmental objectives.

From a regional perspective, North America continues to dominate the data center equipment logistics market, accounting for the largest share in 2024. This is primarily due to the presence of major cloud service providers, hyperscale data centers, and a mature IT infrastructure ecosystem. The Asia Pacific region, however, is witnessing the fastest growth, driven by rapid digitalization, increasing internet penetration, and significant investments in data center infrastructure by both local and global players. Europe is also experiencing steady growth, supported by data sovereignty regulations and the expansion of colocation facilities. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, fueled by government-led digital initiatives and rising demand for cloud-based services.

Service Type Analysis

The service type segment of the data center equipment logistics market encompasses transportation, warehousing, installation, inventory management, and other value-added services. Transportation services remain the backbone of the market, as the secure and timely movement of high-value equipment such as servers, networking devices, and storage units is critical to the success of data center projects. Logistics providers specializing in this segment are investing in advanced fleet management systems, GPS tracking, and specialized vehicles equipped with shock absorption and climate control features to ensure the safe delivery of sensitive equipment. T

This statistic represents the costs of the logistics industry worldwide from 2010 through 2020. In 2022, global logistics costs amounted to ***** trillion U.S. dollars, an increase of almost * trillion U.S dollars. By 2026, the industry is set to increase in value to over ** trillion U.S dollars.