Digital Last-mile Platform Market Size is valued at USD 8.04 Bn in 2024 and is predicted to reach USD 29.92 Bn by the year 2034 at a 14.1% CAGR during the forecast period for 2025-2034.
A digital last-mile platform is a sophisticated technology-based solution or software ecosystem that optimizes and streamlines the final stage of the supply chain process, sometimes known as the "last mile." The last mile refers to the important transportation of goods or services from a central distribution point to their final destination, which may be a customer's home, a retail store, or another specialized delivery place. The final mile is regarded as one of the most important and difficult areas of the supply chain due to its complicated logistics, time-sensitive delivery, and high customer expectations. The goal of digital last-mile platforms is to overcome these difficulties and increase last-mile delivery efficiency through the use of technology and data-driven solutions. These technologies shorten delivery times and increase customer satisfaction by developing micro-fulfillment centers and optimizing delivery routes at the neighborhood scale. They're using advanced analytics and Al algorithms to anticipate client demands and give personalized delivery experiences.
The market is expanding due to increased demand for last-mile delivery software, which has applications in manufacturing, pharmaceuticals, transportation, and other industries around the world. As the owner of the delivery business, you must not only oversee the distribution team but also ensure that the goods are delivered to the consumer's door. Last-mile shipping is the process of delivering a product from a warehouse to a client. Throughout this procedure, it is critical to ensure that the package reaches the end consumer on time. In fact, the entire delivery procedure must be watched until the gift is delivered to its intended receivers. With traditional technology, last-mile delivery can take some time. Last-mile delivery software addresses client needs by automating each step. With traditional technology, last-mile delivery can take some time. Last-mile delivery software matches consumer expectations by automating each step of the delivery process.
The digital last-mile platform market is segmented on the basis of component, deployment, application, and end-user. Based on component, the market is segmented into software/platform and services. Based on deployment, the market is segmented into cloud and on-premise. Based on application, the market is segmented route optimization, tracking, customer communication, analytics & reporting and others. Based on end-users, the market is segmented into logistics, retail & e-commerce, healthcare, food & beverage, and others.
Retail & E-commerce held the most market share and would expand at the fastest CAGR over the projection period. In the e-commerce market, last-mile delivery software improves customer satisfaction by providing a better last-mile delivery experience, on-time deliveries, and improved adherence to Service Level Agreements (SLAs). Furthermore, it reduces overheads and enhances delivery efficiency by automating shipment ordering and route planning, hence boosting e-commerce supply chain optimization.
Cloud-based software provides end-to-end encryption for rapid scalability, higher computing power, and enormous storage capacity, allowing for highly productive services and administration activities without the cost of establishing and maintaining your own IT infrastructure. Cloud-based software is gaining popularity because it provides end-to-end encryption.
North America accounted for the greatest share of the last-mile delivery software market in 2023 and is expected to grow at the fastest CAGR over the forecast period. One of the region's main development factors is the demand for same-day and same-day delivery. Increase in growth of market in this region due to focus on implementing cutting-edge software technologies like big data, artificial intelligence, and machine learning. North America has emerged as the market's dominating player, thanks to a number of critical reasons contributing to its dominance in the changing logistics landscape. E-commerce has grown dramatically in the region, as more and more consumers prefer it for its ease of use and range of products. This enhanced the demand for efficient last-mile delivery services as well as the region's visibility and location. North America and a robust technology infrastructure were critical in driving last-mile delivery growth.
Recent Developments:
|
Report Attribute |
Specifications |
|
Market Size Value In 2024 |
USD 8.04 Bn |
|
Revenue Forecast In 2034 |
USD 29.92 Bn |
|
Growth Rate CAGR |
CAGR of 14.1% from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
|
Forecast Year |
2025-2034 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
By Component, By Deployment, By Application, By End-user and By Region |
|
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 |
Onfleet, Inc., FarEye Technologies, Inc., The Descartes Systems Group Inc., Shipwell, Inc., Shipsy.io, Onro, Inc., Scurri Ltd., Loginext, Solutions Private Limited, Zebra Technologies, Corporation, Click Labs Inc (Tooken), Bringg Delivery Technologies Ltd., and WorkWave LLC. |
|
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 Digital Last-Mile Platform Market Snapshot
Chapter 4. Global Digital Last-Mile Platform 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. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Component Estimates & Trend Analysis
5.1. by Component & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Component:
5.2.1. Software / Platform
5.2.2. Services
Chapter 6. Market Segmentation 2: by Deployment Estimates & Trend Analysis
6.1. by Deployment & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Deployment;
6.2.1. Cloud
6.2.2. On-premise
Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
7.2.1. Route Optimization
7.2.2. Tracking
7.2.3. Customer Communication
7.2.4. Analytics & Reporting
7.2.5. Others
Chapter 8. Market Segmentation 4: by End-user Estimates & Trend Analysis
8.1. by End-user & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-user:
8.2.1. Logistics
8.2.2. Retail & E-commerce
8.2.3. Healthcare
8.2.4. Food & Beverage
8.2.5. Others
Chapter 9. Digital Last-Mile Platform Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.1.2. North America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.1.3. North America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.1.4. North America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.1.5. North America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.2.2. Europe Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.2.3. Europe Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.4. Europe Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.2.5. Europe Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.3.2. Asia Pacific Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.3.3. Asia-Pacific Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.4. Asia Pacific Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.3.5. Asia Pacific Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.4. Latin America
9.4.1. Latin America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.4.2. Latin America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.4.3. Latin America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.4. Latin America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.4.5. Latin America Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.5.2. Middle East & Africa Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034
9.5.3. Middle East & Africa Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.4. Middle East & Africa Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by End-user, 2021-2034
9.5.5. Middle East & Africa Digital Last-Mile Platform Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Onfleet, Inc.
10.2.2. FarEye Technologies, Inc.
10.2.3. The Descartes Systems Group Inc.
10.2.4. Shipwell, Inc.
10.2.5. Shipsy.io
10.2.6. Onro, Inc.
10.2.7. Scurri Ltd.
10.2.8. Loginext Solutions Private Limited
10.2.9. Zebra Technologies Corporation
10.2.10. Click Labs Inc (TooKen)
10.2.11. Bringg Delivery Technologies Ltd.
10.2.12. WorkWave LLC
Digital Last-mile Platform Market- By Component
Digital Last-mile Platform Market- By Deployment
Digital Last-mile Platform Market- By Application
Digital Last-mile Platform Market- ?? End-user
Digital Last-mile Platform 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.
To know more about the research methodology used for this study, kindly contact us/click here.
