The Warehouse-to-Wheels Market is projected to grow with a 7.83% CAGR during the forecast period for 2024-2031.
Warehouse-to-wheels delineates the logistical process that transitions items from storage in a warehouse to their delivery to the customer. Retail and e-commerce depend on it for last-mile delivery because of the necessity for speed and precision. It includes transportation, order fulfilment, and inventory management. The rise of e-commerce, improvements in logistics technology like AI, automation, and real-time tracking, and the increasing expectations of consumers for rapid and dependable delivery are the main factors propelling the warehouse-to-wheels market. Another factor driving the adoption of innovative solutions in this market is the increasing focus on last-mile delivery efficiency, which is heightened by urbanization and the requirement for efficient supply chain management. The demand for e-commerce and emerging markets is fueling the adoption of warehouse-to-wheel, which in turn is driving market growth in the coming years.
However, the market growth is hampered by rising data privacy concerns, and financial and operational challenges also arise from the upfront expenditure needed to set up and the necessity to train employees to use these technologies, which greatly hinder the expansion of the market. Furthermore, the COVID-19 epidemic accelerated the warehouse-to-wheel market because of the continuously increasing demand for online shopping and the necessity of efficient last-mile delivery. Problems arose early on in the epidemic due to supply chain interruptions, workforce shortages, and rising operational expenses. Moreover, with growth in the warehouse-to-wheel market, the need for online shopping is on the rise, and with it comes improvements in logistics optimization through automation and AI. Sustainable delivery solutions are also on the rise, and last-mile delivery networks are expanding to meet the demands of speedy and efficient consumers.
The warehouse-to-wheel market is segmented based on type, application, vehicle type, service provider, and delivery mode. Based on type, the market is segmented into on-demand delivery, scheduled delivery, same-day delivery, next-day delivery, and express delivery. By application, the market consists of retail & E-commerce, automotive, pharmaceuticals & healthcare, food & beverages, electronics, industrial goods, and consumer goods. By vehicle type, the market is segmented into light commercial vehicles, medium commercial vehicles, heavy commercial vehicles, electric vehicles, and autonomous vehicles. By service provider, the market is segmented into third-party logistics (3PL), fourth-party logistics (4PL), and independent operators. By delivery model, the market is segmented into direct-to-consumer, business-to-business, business-to-consumer, and hybrid models.
On-demand delivery in the warehouse-to-wheels market is expected to lead with a major global market share in 2023 as a result of the increasing need for convenient and speedy delivery choices between consumers. There has been extensive acceptance worldwide due to the rise of e-commerce, just-in-time inventory practices, and technology advancements such as real-time tracking and route optimization. Additionally, these practices further enhance efficiency, allowing firms to satisfy customer expectations while reducing operating costs.
The retail and e-commerce segment is expanding rapidly in the warehouse-to-wheel market because of the dramatic increase in last-mile logistical demands, rising customer expectations for speedy delivery, and the prevalence of online purchasing. This market is experiencing explosive expansion due to cutting-edge technology that helps companies optimize their operations, meet demand, and satisfy customers in real time.
The North American warehouse-to-wheels market is expected to register the highest market share in revenue in the near future because of advanced infrastructure, heavy investment in R&D, and the increasing demand for efficient, last-mile delivery solutions to satisfy the demands of the growing e-commerce industry. Warehouse-to-wheels market is rising as a result of the region’s focus on innovation and sustainability, which also contributes to the expansion of the market. In addition, Europe is projected to grow rapidly in the global warehouse-to-wheels market because of the growing demand for efficient last-mile delivery, rising population, more urbanization, more e-commerce, and government programs that promote infrastructure development and logistical technology developments.
|
Report Attribute |
Specifications |
|
Growth Rate CAGR |
CAGR of 7.83% from 2024 to 2031 |
|
Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2024 to 2031 |
|
Historic Year |
2019 to 2023 |
|
Forecast Year |
2024-2031 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
Type, Application, Vehicle Type, Service Provider, And Delivery Mode |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
|
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
|
Competitive Landscape |
DB Schenker, Kuehne + Nagel, DHL Supply Chain, CH Robinson, J.B. Hunt Transport, UPS Supply Chain Solutions, FedEx Logistics, XPO Logistics, C.H. Robinson, J.B. Hunt Transport, Landstar System, Schneider National, Maersk, CMA CGM, and Evergreen Marine. |
|
Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
|
Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Warehouse-to-Wheels Market Snapshot
Chapter 4. Global Warehouse-to-Wheels Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Warehouse-to-Wheels Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Warehouse-to-Wheels Industry Trends
Chapter 5. Warehouse-to-Wheels Market Segmentation 1: By Vehicle Type, Estimates & Trend Analysis
5.1. Market Share by Vehicle Type, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Vehicle Type:
5.2.1. Light Commercial Vehicles
5.2.2. Medium Commercial Vehicles
5.2.3. Heavy Commercial Vehicles
5.2.4. Electric Vehicles
5.2.5. Autonomous Vehicles
Chapter 6. Warehouse-to-Wheels Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Applications Area:
6.2.1. Retail & E-commerce
6.2.2. Automotive
6.2.3. Pharmaceuticals & Healthcare
6.2.4. Food & Beverages
6.2.5. Electronics
6.2.6. Industrial Goods
6.2.7. Consumer Goods
Chapter 7. Warehouse-to-Wheels Market Segmentation 3: By Service Provider, Estimates & Trend Analysis
7.1. Market Share by Service Provider, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Service Providers:
7.2.1. Third-Party Logistics (3PL)
7.2.2. Fourth-Party Logistics (4PL)
7.2.3. Independent Operators
Chapter 8. Warehouse-to-Wheels Market Segmentation 4: By Type, Estimates & Trend Analysis
8.1. Market Share by Type, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Types:
8.2.1. On-Demand Delivery
8.2.2. Scheduled Delivery
8.2.3. Same-Day Delivery
8.2.4. Next-Day Delivery
8.2.5. Express Delivery
Chapter 9. Warehouse-to-Wheels Market Segmentation 5: By Delivery Model, Estimates & Trend Analysis
9.1. Market Share by Delivery Model, 2023 & 2031
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Delivery Modeles:
9.2.1. Direct-to-Consumer
9.2.2. Business-to-Business
9.2.3. Business-to-Consumer
9.2.4. Hybrid Model
Chapter 10. Warehouse-to-Wheels Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global Warehouse-to-Wheels Market, Regional Snapshot 2023 & 2031
10.2. North America
10.2.1. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
10.2.3. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.2.4. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Service Provider, 2024-2031
10.2.5. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
10.2.6. North America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Delivery Model, 2024-2031
10.3. Europe
10.3.1. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
10.3.3. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.3.4. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Service Provider, 2024-2031
10.3.5. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
10.3.6. Europe Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Delivery Model, 2024-2031
10.4. Asia Pacific
10.4.1. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024- 2031
10.4.3. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.4.4. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts By Service Provider, 2024-2031
10.4.5. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
10.4.6. Asia Pacific Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts By Delivery Model, 2024-2031
10.5. Latin America
10.5.1. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
10.5.3. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.5.4. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Service Provider, 2024-2031
10.5.5. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
10.5.6. Latin America Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Delivery Model, 2024-2031
10.6. Middle East & Africa
10.6.1. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
10.6.1.1. GCC Countries
10.6.1.2. Israel
10.6.1.3. South Africa
10.6.1.4. Rest of Middle East and Africa
10.6.2. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Vehicle Type, 2024-2031
10.6.3. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.6.4. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Service Provider, 2024-2031
10.6.5. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
10.6.6. Middle East & Africa Warehouse-to-Wheels Market Revenue (US$ Million) Estimates and Forecasts by Delivery Model, 2024-2031
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. DB Schenker
11.2.1.1. Business Overview
11.2.1.2. Key Product/Service Offerings
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. Kuehne + Nagel
11.2.3. DHL Supply Chain
11.2.4. CH Robinson
11.2.5. J.B. Hunt Transport
11.2.6. UPS Supply Chain Solutions
11.2.7. FedEx Logistics
11.2.8. XPO Logistics
11.2.9. C.H. Robinson
11.2.10. J.B. Hunt Transport
11.2.11. Landstar System
11.2.12. Schneider National
11.2.13. Maersk
11.2.14. CMA CGM
11.2.15. Evergreen Marine
11.2.16. Other Prominent Players
Warehouse-to-Wheels Market By Type-
Warehouse-to-Wheels Market By Application-
Warehouse-to-Wheels Market By Vehicle Type-
Warehouse-to-Wheels Market By Service Provider-
Warehouse-to-Wheels Market By Delivery Model-
Warehouse-to-Wheels Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
