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Global Freight Transport Management Market to reach USD XX billion by the end of 2030

Global Freight Transport Management Market Size study & Forecast, by Solution (Freight Transportation Cost Management, Freight Security and Monitoring System, Freight Mobility Solution, Warehouse Management System, Freight 3PL Solutions), by Deployment (Cloud, On-premise), by Mode of Transport, by End-User and Regional Analysis, 2023-2030

Product Code: ALTL-13942377
Publish Date: 15-11-2023
Page: 200

Global Freight Transport Management Market is valued at approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than 9.8% over the forecast period 2023-2030. The Freight Transport Management market focuses on planning, optimizing, and executing the movement of goods and cargo from one location to another. The market is expanding due to increasing global trade and the growth of the e-commerce industry. However, the high complexity, inefficiency of shipping, delivering goods, and controlling costs hinder its growth.

With the adoption of artificial intelligence, machine learning, and blockchain in the logistics and transportation sector, the freight transport management market is expected to become even more sophisticated. The increase in the number of transportation vehicles globally is also expected to create opportunities in the market. China Railway has reported an 11% increase in the number of operating trains and the amount of delivered freight, reaching 1,49,000. The volume of freight trains between China and Europe is steadily increasing, ensuring the seamless operation of global supply and industrial chains. Data shows that a total of 8,990 China-Europe freight trains ran cumulatively from January to July 2022. Intermodal transportation, which uses more than one mode of transportation, is an emerging trend in the market. However, the risk associated with cross-border transportation is projected to restrain the market throughout the forecast period of 2023-2030.

The key regions considered for the Global Freight Transport Management Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 due to the rise in the retail sector and the continuous growth of the freight transport business in the United States, according to the US Department of Transportation, almost 70% of the freight movement is done by trucks and is expected to increase by 45% by 2040. Asia Pacific is expected to grow significantly over the forecast period, due to lucrative opportunities in the region’s automotive, packaging, pharmaceutical, and other industrial applications.

Major market players included in this report are:
HighJump Software LLC
JDA Software (Blue Yonder)
Accenture PLC
Manhattan Associates
Ceva Logistics
United Parcel Service of America, Inc.
Deutsche Post AG
Schneider National, Inc.
Oracle Corporation

Recent Developments in the Market:
Ø In May 2022, Shipwell released a load optimization function that significantly decreased the time it takes to plan and route shipments, the cost of moving them, and the carbon emissions generated by carriers transporting them. This helped its customers to get a quick transport service.
Ø In May 2022, MercuryGate International, Inc. announced a partnership with Amazon Freight to enable shippers to access Amazon Freight’s dependable network and competitive dynamic rates through the MercuryGate platform.

Global Freight Transport Management Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Solution, Deployment, Mode of Transport, End-User, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Solution:
Freight Transportation Cost Management
Freight Security and Monitoring System
Freight Mobility Solution
Warehouse Management System
Freight 3PL Solutions

By Deployment:

By Mode of Transport:
Rail Freight
Air Freight
Road Freight
Waterborne Freight

By End-User:
Aerospace and Defense
Oil and Gas
Consumer and Retail
Energy and Power

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Freight Transport Management Market, by Region, 2020-2030 (USD Billion)
1.2.2. Freight Transport Management Market, by Solution, 2020-2030 (USD Billion)
1.2.3. Freight Transport Management Market, by Deployment, 2020-2030 (USD Billion)
1.2.4. Freight Transport Management Market, by Mode of Transport, 2020-2030 (USD Billion)
1.2.5. Freight Transport Management Market, by End-User, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Freight Transport Management Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Freight Transport Management Market Dynamics
3.1. Freight Transport Management Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising freight transportation due to increasing global trade and e-commerce industry Inclination of Growth toward Information Technology
3.1.2. Market Challenges High Capital Investment due to Implementation of New Technologies Risk and Congestion Associated with Trade Routes
3.1.3. Market Opportunities Increase in number of transportation vehicles Emerging trend of Intermodal transportation technology
Chapter 4. Global Freight Transport Management Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Freight Transport Management Market, by Solution
5.1. Market Snapshot
5.2. Global Freight Transport Management Market by Solution, Performance – Potential Analysis
5.3. Global Freight Transport Management Market Estimates & Forecasts by Solution 2020-2030 (USD Billion)
5.4. Freight Transport Management Market, Sub Segment Analysis
5.4.1. Freight Transportation Cost Management
5.4.2. Freight Security and Monitoring System
5.4.3. Freight Mobility Solution
5.4.4. Warehouse Management System
5.4.5. Freight 3PL Solutions
Chapter 6. Global Freight Transport Management Market, by Deployment
6.1. Market Snapshot
6.2. Global Freight Transport Management Market by Deployment, Performance – Potential Analysis
6.3. Global Freight Transport Management Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
6.4. Freight Transport Management Market, Sub Segment Analysis
6.4.1. Cloud
6.4.2. On-premise
Chapter 7. Global Freight Transport Management Market, by Mode of Transport
7.1. Market Snapshot
7.2. Global Freight Transport Management Market by Mode of Transport, Performance – Potential Analysis
7.3. Global Freight Transport Management Market Estimates & Forecasts by Mode of Transport 2020-2030 (USD Billion)
7.4. Freight Transport Management Market, Sub Segment Analysis
7.4.1. Rail Freight
7.4.2. Air Freight
7.4.3. Road Freight
7.4.4. Waterborne Freight
Chapter 8. Global Freight Transport Management Market, by End-User
8.1. Market Snapshot
8.2. Global Freight Transport Management Market by End-User, Performance – Potential Analysis
8.3. Global Freight Transport Management Market Estimates & Forecasts by End-User 2020-2030 (USD Billion)
8.4. Freight Transport Management Market, Sub Segment Analysis
8.4.1. Aerospace and Defense
8.4.2. Automotive
8.4.3. Oil and Gas
8.4.4. Consumer and Retail
8.4.5. Energy and Power
Chapter 9. Global Freight Transport Management Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Freight Transport Management Market, Regional Market Snapshot
9.4. North America Freight Transport Management Market
9.4.1. U.S. Freight Transport Management Market Solution breakdown estimates & forecasts, 2020-2030 Deployment breakdown estimates & forecasts, 2020-2030 Mode of Transport breakdown estimates & forecasts, 2020-2030 End-User breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Freight Transport Management Market
9.5. Europe Freight Transport Management Market Snapshot
9.5.1. U.K. Freight Transport Management Market
9.5.2. Germany Freight Transport Management Market
9.5.3. France Freight Transport Management Market
9.5.4. Spain Freight Transport Management Market
9.5.5. Italy Freight Transport Management Market
9.5.6. Rest of Europe Freight Transport Management Market
9.6. Asia-Pacific Freight Transport Management Market Snapshot
9.6.1. China Freight Transport Management Market
9.6.2. India Freight Transport Management Market
9.6.3. Japan Freight Transport Management Market
9.6.4. Australia Freight Transport Management Market
9.6.5. South Korea Freight Transport Management Market
9.6.6. Rest of Asia Pacific Freight Transport Management Market
9.7. Latin America Freight Transport Management Market Snapshot
9.7.1. Brazil Freight Transport Management Market
9.7.2. Mexico Freight Transport Management Market
9.8. Middle East & Africa Freight Transport Management Market
9.8.1. Saudi Arabia Freight Transport Management Market
9.8.2. South Africa Freight Transport Management Market
9.8.3. Rest of Middle East & Africa Freight Transport Management Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. HighJump Software LLC Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. JDA Software(Blue Yonder)
10.3.3. Accenture PLC
10.3.4. DSV A/S
10.3.5. Manhattan Associates
10.3.6. Ceva Logistics
10.3.7. United Parcel Service of America, Inc.
10.3.8. Deutsche Post AG
10.3.9. Schneider National, Inc.
10.3.10. Oracle Corporation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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