The global Last-Mile Delivery Software Market was valued at around US $ 7 Billion in 2021. With a projected CAGR of 8.1% for the next ten years, the market is likely to reach a valuation of approximately US $ 16.7 Billion by the end of 2032.
| Attributes | Details |
|---|---|
| Global Last-Mile Delivery Software Market Size (2021A) | US $ 7 Billion |
| Global Estimated Market Value (2022E) | US $ 7.6 Billion |
| Global Forecasted Market Value (2032) | US $ 16.7 Billion |
| Global Market Growth Rate (2022 to 2032) | 8.1% CAGR |
| United States Forecasted Market Value (2032) | US $ 6 Billion |
| United States Growth Rate (2022 to 2032) | 7.9 % CAGR |
| Key Companies Profiled |
Future Market Insights’ analysis reveals that a large proportion of the market revenue is grossed from Couriers, Express, and Parcels, which is expected to account for a forecasted CAGR of 7.7% by 2032. On-Premise Last-Mile Delivery Management Software is the top type of these tests, with a CAGR of 7.9% in the forecast period. Owing to its characteristics of optimization of costs and maximizing customer satisfaction, the market is expected to grow at a CAGR of 8.1% in the 2022 to 2032 period.
Last-Mile Delivery is a crucial part of the supply chain that can comprise between 23% and 53% of delivery costs. According to a survey, the pool of impatient consumers has been growing, of whom nearly 44% are willing to wait only two days for their order. A 2020 report by the World Economic Forum estimates a 78% increase in last-mile deliveries in urban areas by 2030. To meet this, last-mile delivery software is essential, which provides visibility and a degree of control.
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Enterprises are seeking software that manages Last-Mile delivery to improve efficiency, delivery times, profits, and visibility. The automation of systems is necessary to reduce costs, decrease human time spent and optimize operations. Routing, which is often the most complicated part of Last-Mile delivery, can be optimized by software that will consider traffic, drivers, delivery preferences, consumer types, logistical limitations, and other factors to come up with the most efficient routes possible. The software can also notify customers of the status of their orders, reducing the load on support teams and reducing repetitive calls. Finally, this software can help with driver invoicing. The Last Mile is more often than not extremely labor intensive and the automation of the invoicing process using data collected at each step can ensure efficient and accurate reimbursement and distribution of resources to the drivers.
There have been a large number of technological advancements in the Last-Mile Delivery Software Market, which has led to a swell in demand. In the forthcoming years, technology such as ADV or autonomous delivery vehicles is expected to change the supply scenario completely.
The real-time mapping of routes is another benefit offered by the last-mile delivery software market, as they have the ability to plan around roadblocks and obstacles with actual data in order to provide an accurate ETA to a customer. Radio Frequency Identification (RFID) can help enterprises in keeping track of assets and manage inventory efficiently. Furthermore, enterprises can leverage the benefits of advanced analytics, using historical data to automatically generate key points and identify critical errors in the system.
Route optimization is vital as it not only maximizes consumer satisfaction but also minimizes the costs of labor and fuel. The option of being able to record proof of delivery helps organizations ensure that immediate action can be taken whenever necessary in the case of fraudulent claims by consumers or in the case of packages going missing. The increased visibility and improved availability of data when this software is used mean that enterprises can use smart techniques to analyze data like customer feedback, distance per parcel, times when delivery is delayed, etc. to efficiently manage their resources.
The usage of a data science system allows for the making of more informed decisions. The software can also help in the batching of SKUs in order to optimize the frequency of delivery and the time spent by a single driver on the road. Predictive Intelligence and Machine Learning can help in providing accurate ETAs to consumers. The use of this type of advanced software also allows for the option of flexible and customizable deliveries, thus improving the overall consumer experience.
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The Asia Pacific region is an emerging market for Final-Mile Routing Software, accounting for 22.2% of the market with a forecasted market size of US$ 3.7 Billion at a CAGR of 9.1%.
The new Retail approach, an emerging trend in China involves integration between online and offline retail through varied steps, one being the establishment of pickup points for their last-mile strategy. This is expected to boost demand for the last-mile delivery software market in the region, as the requirements of this form of retail are highly complex.
The United States is the leading market for Final-Mile Delivery Software demand, having witnessed a CAGR of 8.7% from 2015 to 2021. The market is expected to grow in the future as well, with a forecasted market value of US $ 6 Billion. The market in the USA accounts for an absolute dollar opportunity of US$ 3.2 Billion. According to a survey of American consumers, over 40% consider fast and reliable delivery to be a top concern while shopping, with half of them willing to wait for only two days for delivery. As key players like Amazon prioritize improvements in their shipping for growth, the consumer expectation of prompt delivery is expected to continue. Harnessing the benefits of software and automated systems is necessary to meet this demand.
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On-Premise is the top type of Last-Mile Delivery Software, having witnessed a CAGR of 8.9% with a forecasted CAGR of 7.9%. Cloud-based software, however, is an emerging trend that is gradually gaining popularity. Cloud-based software allows for more agility, is easy to install, and allows much greater flexibility. They also provide ease of scale since scaling to new areas requires minimal installation efforts on part of the enterprise.
Last-Mile Delivery Software providers are focused on harnessing new technology and addressing efficient deliveries and allocation of drivers. The key Last-Mile Delivery Software Companies operating in the market include Kahuna, AGDESCARTES, FarEye, Track-POD, LogiNext, Zippykind5, Gloat, and Skillnet.
Some of the recent development in Last-Mile Delivery Software are as follows:
Similarly, recent developments related to companies manufacturing Last-Mile Delivery Software have been tracked by the team at Future Market Insights, which is available in the full report.
The global Last-Mile Delivery Software market was valued at USA $ 7 Billion in 2021.
The Last-Mile Delivery Software industry is set to witness a growth rate of 8.1% over the forecast period and be valued at US$ 16.7 Billion by 2032.
The Last-Mile Delivery Software market expanded by 9.1% from 2015 through 2021.
Kahuna, AGDESCARTES, FarEye, Track-POD, LogiNext, Zippykind5, Gloat, and Skillnet are some of the key players operating in the Last-Mile Delivery Software Market.
On-Premise Last-Mile Delivery Software is driving Market demand, having witnessed a CAGR of 8.9% from 2015 to 2021.
The USA, UK, China, Japan, and South Korea are expected to be the key drivers of sales.
The USA accounts for over 35% of the global Last-Mile Delivery Software Market.
1. Executive Summary | Last-Mile Delivery Software Market 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Demand 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Million) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Application Development Trends 4. Market Background and Foundation Data Points 4.1. Global Market (US$ Million) 4.2. Market Opportunity Assessment (US$ Million) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in Optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Global Market Growth 4.5.3. Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Analysis, 2015 to 2021 6.2. Current and Future Market Projections, 2022 to 2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032 7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021 7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute Opportunity Analysis 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) Analysis By Application, 2015 to 2021 8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Application, 2022 to 2032 8.3.1. Courier, Express & Parcel 8.3.2. Retail & FMCG 8.3.3. Transportation 8.3.4. BFSI 8.3.5. E-Commerce 8.3.6. Manufacturing 8.3.7. Pharmaceutical 8.4. Market Attractiveness Analysis By Application 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Type 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) Analysis By Type, 2015 to 2021 9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Type, 2022 to 2032 9.3.1. On Premises 9.3.2. Cloud-based 9.4. Market Attractiveness Analysis By Type 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region 10.1. Introduction 10.2. Historical Market Size (US$ Million) Analysis By Region, 2015 to 2021 10.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. Asia Pacific 10.3.5. Middle East and Africa (MEA) 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 11.1. Introduction 11.2. Pricing Analysis 11.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 11.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 11.4.1. By Country 11.4.1.1. United States of America 11.4.1.2. Canada 11.4.1.3. Rest of North America 11.4.2. By Application 11.4.3. By Type 11.5. Market Attractiveness Analysis 11.5.1. By Country 11.5.2. By Application 11.5.3. By Type 12. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 12.1. Introduction 12.2. Pricing Analysis 12.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 12.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 12.4.1. By Country 12.4.1.1. Brazil 12.4.1.2. Mexico 12.4.1.3. Rest of Latin America 12.4.2. By Application 12.4.3. By Type 12.5. Market Attractiveness Analysis 12.5.1. By Country 12.5.2. By Application 12.5.3. By Type 13. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 13.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 13.4.1. By Country 13.4.1.1. Germany 13.4.1.2. France 13.4.1.3. United Kingdom 13.4.1.4. Italy 13.4.1.5. Benelux 13.4.1.6. Nordic Countries 13.4.1.7. Rest of Europe 13.4.2. By Application 13.4.3. By Type 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Application 13.5.3. By Type 14. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 14.4.1. By Country 14.4.1.1. China 14.4.1.2. Japan 14.4.1.3. South Korea 14.4.1.4. Rest of Asia Pacific 14.4.2. By Application 14.4.3. By Type 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Application 14.5.3. By Type 15. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 15.4.1. By Country 15.4.1.1. GCC Countries 15.4.1.2. South Africa 15.4.1.3. Turkey 15.4.1.4. Rest of Middle East and Africa 15.4.2. By Application 15.4.3. By Type 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Application 15.5.3. By Type 16. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.1.1. Market Value Proportion Analysis, By Key Countries 16.1.2. Global Vs. Country Growth Comparison 16.2. US Market Analysis 16.2.1. Value Proportion Analysis by Market Taxonomy 16.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.2.2.1. By Application 16.2.2.2. By Type 16.3. Canada Market Analysis 16.3.1. Value Proportion Analysis by Market Taxonomy 16.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.3.2.1. By Application 16.3.2.2. By Type 16.4. Mexico Market Analysis 16.4.1. Value Proportion Analysis by Market Taxonomy 16.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.4.2.1. By Application 16.4.2.2. By Type 16.5. Brazil Market Analysis 16.5.1. Value Proportion Analysis by Market Taxonomy 16.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.5.2.1. By Application 16.5.2.2. By Type 16.6. Germany Market Analysis 16.6.1. Value Proportion Analysis by Market Taxonomy 16.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.6.2.1. By Application 16.6.2.2. By Type 16.7. France Market Analysis 16.7.1. Value Proportion Analysis by Market Taxonomy 16.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.7.2.1. By Application 16.7.2.2. By Type 16.8. Italy Market Analysis 16.8.1. Value Proportion Analysis by Market Taxonomy 16.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.8.2.1. By Application 16.8.2.2. By Type 16.9. BENELUX Market Analysis 16.9.1. Value Proportion Analysis by Market Taxonomy 16.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.9.2.1. By Application 16.9.2.2. By Type 16.10. UK Market Analysis 16.10.1. Value Proportion Analysis by Market Taxonomy 16.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.10.2.1. By Application 16.10.2.2. By Type 16.11. Nordic Countries Market Analysis 16.11.1. Value Proportion Analysis by Market Taxonomy 16.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.11.2.1. By Application 16.11.2.2. By Type 16.12. China Market Analysis 16.12.1. Value Proportion Analysis by Market Taxonomy 16.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.12.2.1. By Application 16.12.2.2. By Type 16.13. Japan Market Analysis 16.13.1. Value Proportion Analysis by Market Taxonomy 16.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.13.2.1. By Application 16.13.2.2. By Type 16.14. South Korea Market Analysis 16.14.1. Value Proportion Analysis by Market Taxonomy 16.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.14.2.1. By Application 16.14.2.2. By Type 16.15. GCC Countries Market Analysis 16.15.1. Value Proportion Analysis by Market Taxonomy 16.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.15.2.1. By Application 16.15.2.2. By Type 16.16. South Africa Market Analysis 16.16.1. Value Proportion Analysis by Market Taxonomy 16.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.16.2.1. By Application 16.16.2.2. By Type 16.17. Turkey Market Analysis 16.17.1. Value Proportion Analysis by Market Taxonomy 16.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 16.17.2.1. By Application 16.17.2.2. By Type 16.17.3. Competition Landscape and Player Concentration in the Country 17. Market Structure Analysis 17.1. Market Analysis by Tier of Companies 17.2. Market Concentration 17.3. Market Share Analysis of Top Players 17.4. Market Presence Analysis 17.4.1. By Regional Footprint of Players 17.4.2. Application Footprint by Players 18. Competition Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Competition Deep Dive 18.3.1. DESCARTES 18.3.1.1. Overview 18.3.1.2. Application Portfolio 18.3.1.3. Sales Footprint 18.3.1.4. Strategy Overview 18.3.2. FarEye 18.3.2.1. Overview 18.3.2.2. Application Portfolio 18.3.2.3. Sales Footprint 18.3.2.4. Strategy Overview 18.3.3. Track-POD 18.3.3.1. Overview 18.3.3.2. Application Portfolio 18.3.3.3. Sales Footprint 18.3.3.4. Strategy Overview 18.3.4. LogiNext 18.3.4.1. Overview 18.3.4.2. Application Portfolio 18.3.4.3. Sales Footprint 18.3.4.4. Strategy Overview 18.3.5. Zippykind 18.3.5.1. Overview 18.3.5.2. Application Portfolio 18.3.5.3. Sales Footprint 18.3.5.4. Strategy Overview 18.3.6. CubeXie Software 18.3.6.1. Overview 18.3.6.2. Application Portfolio 18.3.6.3. Sales Footprint 18.3.6.4. Strategy Overview 18.3.7. Oracle 18.3.7.1. Overview 18.3.7.2. Application Portfolio 18.3.7.3. Sales Footprint 18.3.7.4. Strategy Overview 18.3.8. Hippo Solutions 18.3.8.1. Overview 18.3.8.2. Application Portfolio 18.3.8.3. Sales Footprint 18.3.8.4. Strategy Overview 18.3.9. ManageTeamz 18.3.9.1. Overview 18.3.9.2. Application Portfolio 18.3.9.3. Sales Footprint 18.3.9.4. Strategy Overview 18.3.10. Kiva Logic 18.3.10.1. Overview 18.3.10.2. Application Portfolio 18.3.10.3. Sales Footprint 18.3.10.4. Strategy Overview 18.3.11. Livedspatcher 18.3.11.1. Overview 18.3.11.2. Application Portfolio 18.3.11.3. Sales Footprint 18.3.11.4. Strategy Overview 18.3.12. Wing 18.3.12.1. Overview 18.3.12.2. Application Portfolio 18.3.12.3. Sales Footprint 18.3.12.4. Strategy Overview 18.3.13. Tracify 18.3.13.1. Overview 18.3.13.2. Application Portfolio 18.3.13.3. Sales Footprint 18.3.13.4. Strategy Overview 18.3.14. Roadwarrior 18.3.14.1. Overview 18.3.14.2. Application Portfolio 18.3.14.3. Sales Footprint 18.3.14.4. Strategy Overview 18.3.15. Codriver 18.3.15.1. Overview 18.3.15.2. Application Portfolio 18.3.15.3. Sales Footprint 18.3.15.4. Strategy Overview 18.3.16. Deliforce 18.3.16.1. Overview 18.3.16.2. Application Portfolio 18.3.16.3. Sales Footprint 18.3.16.4. Strategy Overview 18.3.17. Pikpack 18.3.17.1. Overview 18.3.17.2. Application Portfolio 18.3.17.3. Sales Footprint 18.3.17.4. Strategy Overview 18.3.18. Gloat 18.3.18.1. Overview 18.3.18.2. Application Portfolio 18.3.18.3. Sales Footprint 18.3.18.4. Strategy Overview 18.3.19. Skillnet 18.3.19.1. Overview 18.3.19.2. Application Portfolio 18.3.19.3. Sales Footprint 18.3.19.4. Strategy Overview 18.3.20. delivery Biz Pro 18.3.20.1. Overview 18.3.20.2. Application Portfolio 18.3.20.3. Sales Footprint 18.3.20.4. Strategy Overview
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Last-Mile Delivery Software Market
