This statistic shows the game-changing technologies in the logistics industry in 2018. During the survey, almost 53 percent of the respondents stated that they expect blockchain to change the industry.

In third-party logistics, a company outsources all or much of its operations related to the distribution and logistics to a specialized company. According to a global survey among logistics and supply chain executives which was carried out in July 2021, **** percent of shippers were outsourcing their warehousing activities to 3PL providers. Biggest 3PL markets Along with China, the United States is among the biggest third-party logistics markets in the world. The gross revenue generated by the U.S. 3PL industry amounted to around ***** billion U.S. dollars in 2019. 3PL services may include transportation services, integrating operations, warehousing, cross-docking, inventory management, packaging, and freight forwarding. Transportation costs are typically the highest; in 2020, transportation costs in the United States amounted to just over ************ U.S. dollars, more than ********** of the total business logistics costs for that year. Leaders in the U.S. 3PL market 3PL providers typically include: freight forwarders, courier companies, as well as other companies that integrate and offer subcontracted logistics and transportation services. Some of the leading domestic third-party logistics providers in the United States include: C.H. Robinson, UPS, and XPO Logistics. In 2020, C. H. Robinson and XPO Logistics generated over **** billion U.S. dollars in revenue.

This dataset provides transport cost and trade flow metrics for Saudi Arabia as the destination, covering all commodities. It includes key indicators related to transport expenditures, freight rates, trade intensity, and shipment weight.Indicators:Transport Expenditure (US$) – Total transport costs.FOB Value (US$ in Thousands) – Value of goods before shipping costs.Per Unit Freight Rate (US$/kg) – Transport cost per kilogram.Transport Work (Ton-km) – Transport effort measured in ton-km.Transport Work (1000 km) – Transport effort per 1000 km.Transport Cost Intensity (US$/ton-km & US$/1000 km) – Cost per ton per km.Kilograms (Thousands) – Total shipment weight.Ad Valorem Freight Rate (%) – Freight costs as a percentage of FOB value.Unit Value (US$/kg) – Price per kilogram of goods.This dataset helps track shipping costs and trade logistics related to Saudi Arabia.

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 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. In the current dataset, the number of dealers, production facilities and shipping ports is the same as in the original problem; it is only the demand figures, the production capacities, the transportation times and costs and the sale prices that have been randomly generated. The figures have been generated according to a normal distribution with the same mean and standard deviation as in the original dataset (e.g. the demand figures have the same mean and standard deviation as those found in the original problem).

Statistics and data about domestic and international road freight activity.

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.

Demand for intelligent logistics is higher than ever before as businesses acknowledge its various benefits. The global smart logistics market is valued at US$ 32.35 billion and is forecasted to expand rapidly at a CAGR of 22.8% to reach a whopping US$ 251.26 billion by 2034-end.

Report Attributes	Details
Smart Logistics Market Size (2024E)	US$ 32.35 Billion
Forecasted Market Value (2034F)	US$ 251.26 Billion
Global Market Growth Rate (2024 to 2034)	22.8% CAGR
Canada Market Growth Rate (2024 to 2034)	23.7% CAGR
China Market Value (2034F)	US$ 44.87 Billion
North America Market Share (2024E)	37.5%
East Asia Market Share (2034F)	24.1%
Key Companies Profiled	Oracle Corporation IBM Corporation Advantech Corporation Digilogistics Technology Ltd Cisco Systems Arkessa Orbcomm Inc.

Country-wise Insights

Attribute	United States
Market Value (2024E)	US$ 8.4 Billion
Growth Rate (2024 to 2034)	23.3% CAGR
Projected Value (2034F)	US$ 68 Billion

Attribute	China
Market Value (2024E)	US$ 5.62 Billion
Growth Rate (2024 to 2034)	23.1% CAGR
Projected Value (2034F)	US$ 44.87 Billion

Category-wise Evaluation

Attribute	Infrastructure
Segment Value (2024E)	US$ 7.67 Billion
Growth Rate (2024 to 2034)	21.6% CAGR
Projected Value (2034F)	US$ 61.05 Billion

Attribute	Software
Segment Value (2024E)	US$ 13.33 Billion
Growth Rate (2024 to 2034)	21.9% CAGR
Projected Value (2034F)	US$ 99.75 Billion

Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data was reported at 3.200 NA in 2022. This records an increase from the previous number of 3.030 NA for 2018. Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data is updated yearly, averaging 3.030 NA from Dec 2007 (Median) to 2022, with 7 observations. The data reached an all-time high of 3.210 NA in 2012 and a record low of 2.808 NA in 2016. Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Transportation. The Logistics Performance Index overall score reflects perceptions of a country's logistics based on the efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. 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. 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. 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. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. 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.;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;

Logistics performance index: Overall (1=low to 5=high) in United States was reported at 3.8 1=low to 5=high in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Logistics performance index: Overall (1=low to 5=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

In 2020, Amazon Logistics generated over ** billion U.S. dollars in revenue worldwide. Amazon's own logistics business delivered *** billion packages in the United States alone.

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;

Financial overview and grant giving statistics of Women In Logistics And Delivery Services Council

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 performance index: Overall (1=low to 5=high) in Peru was reported at 3 1=low to 5=high in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Logistics performance index: Overall (1=low to 5=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Survey of advanced technology, adoption of advanced material handling, supply chain and logistics technologies, by type of advanced technologies, North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Access verified profiles of global supply chain leaders across procurement, logistics, and operations. Ideal for B2B targeting and tech sales. Email, phone, and firmographics included.

China Logistics Prosperity Index(LPI) data was reported at 51.500 % in Mar 2025. This records an increase from the previous number of 49.300 % for Feb 2025. China Logistics Prosperity Index(LPI) data is updated monthly, averaging 53.350 % from Dec 2011 (Median) to Mar 2025, with 158 observations. The data reached an all-time high of 59.500 % in Mar 2012 and a record low of 26.200 % in Feb 2020. China Logistics Prosperity Index(LPI) 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 Prosperity Index(LPI).

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.