Deployment of last-mile delivery software in Japan is predicted to record a CAGR of 9.9% through 2033.
The last-mile delivery technology solutions in Japan are predicted to experience substantial opportunities with an estimated revenue generation of US$ US$ 86.3 million in 2023. Low productivity issues and labor shortages in Japan’s transportation sector are predicted to induce last-mile delivery stakeholders to prioritize initiatives by experimenting with developing technologies.
With the supportive policies issued by the Japanese government, last-mile logistics platforms turning to sustainable and efficient modes of operation can expect a bright future. The last-mile delivery software is estimated to record sales worth US$ 225.4 million by 2033.
Key Insights - Highlights to Understand Emerging Trends
| Attributes | Details |
|---|---|
| Industry Size of Last-mile Delivery Software in Japan | US$ 86.3 million |
| Expected Industry Size of Last-mile Delivery Software in Japan in 2033 | US$ 225.4 million |
| Forecasted CAGR between 2023 to 2033 | 9.9% |
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Japanese show an acute inclination toward online shopping. Consumers opt for online deliveries while virtually tracking orders from the warehouse to the sorting center to the doorstep.
Some of the adoption patterns impacting the last-mile delivery software businesses in Japan are listed below:
The cloud-based delivery software is deployed at a greater rate and enjoys maximum market share in Japan. Several businesses in Japan prioritize flexibility and cost-effectiveness while opting for last-mile delivery software for their operations.
End users of last-mile delivery solutions in Japan are focusing on scaling their services and products and adjusting resources and capacity to the demand, which is made possible by cloud-based delivery software. Their use is also higher due to cost-efficiency, as users do not need to invest in on-premise servers, thus incurring hardware as well as infrastructure expenses.
| Last-mile Delivery Software in Japan based on Deployment | Forecast CAGR (2023 to 2033) |
|---|---|
| Cloud-based | 11% |
| On-premise | 9.2% |
| Web-based | 8% |
A spike in eCommerce sales in Japan is significantly contributing to the last-mile delivery software businesses’ revenue in the country. The FMCG category in the eCommerce sector is predicted to witness significant prospects as consumers in Japan are inclining toward packaged products and consumables.
| Adoption of Last-mile Delivery Software in Japan | Market Value (2033) |
|---|---|
| eCommerce | US$ 67.70 million |
| Courier, Express & Parcel | US$ 56.3 million |
The courier, express, and parcel segment follows behind the eCommerce segment. The robustly expanding pace of this segment suggests higher use of this service in Japan to transfer products.
Principal Consultant
Japan is experiencing an incoming of startups presenting an innovative offering, thus keeping established players on their toes. The combination of startups and established players in Japan makes Japan a fragmented landscape. Given below are some strategic moves followed by last-mile delivery software participants:
Recent Developments Observed in Last-mile Delivery Services in Japan
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| Attribute | Details |
|---|---|
| Estimated Industry Size in 2023 | US$ 86.3 million |
| Projected Industry Size in 2033 | US$ 225.4 million |
| Anticipated CAGR between 2023 to 2033 | 9.9% CAGR |
| Historical Analysis of Demand for Last-mile Delivery Software in Japan | 2018 to 2022 |
| Demand Forecast for Last-mile Delivery Software in Japan | 2023 to 2033 |
| Report Coverage | Industry Size, Industry Trends, Analysis of Key Factors Influencing Last mile Delivery Adoption in Japan, Insights on Japan Players and their Industry Strategy in Japan, Ecosystem Analysis of Local and Regional Japan Providers |
| Key Companies Profiled | Sagawa Express; Yamato Transport (Kuroneko); Rakuten Super Logistics; Sagawa Global Logistics; Nippon Express; Parcel Live Japan; OpenLogi; Delight Ventures; AnyMind Group; QUOQUS; Others |
The anticipated CAGR through 2033 is 9.9%.
Demand for last-mile delivery software in Japan is expected to be US$ 225.4 million by 2033.
Focus on innovation and long-term sustainability to drive players’ moves.
Cloud-based deployment model is predicted to retain its maximum share in the forecast period.
eCommerce is likely to remain a key contributor to last-mile delivery operations in Japan.
1. Executive Summary 1.1. Japan Industry Analysis and Outlook Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Industry Analysis and Outlook Overview 2.1. Industry Analysis and Outlook Coverage / Taxonomy 2.2. Industry Analysis and Outlook Definition / Scope / Limitations 3. Industry Analysis and Outlook Background 3.1. Industry Analysis and Outlook Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.7. Regional Parent Industry Analysis and Outlook Outlook 4. Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Industry Analysis and Outlook Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment 5.1. Introduction / Key Findings 5.2. Historical Industry Analysis and Outlook Size Value (US$ Million) Analysis By Deployment, 2018 to 2022 5.3. Current and Future Industry Analysis and Outlook Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033 5.3.1. Cloud-based Last-Mile Delivery Software 5.3.2. On-Premises Last-Mile Delivery Software 5.3.3. Web-based Last-Mile Delivery Software 5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033 6. Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 6.1. Introduction / Key Findings 6.2. Historical Industry Analysis and Outlook Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022 6.3. Current and Future Industry Analysis and Outlook Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033 6.3.1. Small & Mid-Sized Enterprises (SMEs) 6.3.2. Large Enterprises 6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033 7. Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry 7.1. Introduction / Key Findings 7.2. Historical Industry Analysis and Outlook Size Value (US$ Million) Analysis By Industry, 2018 to 2022 7.3. Current and Future Industry Analysis and Outlook Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033 7.3.1. Courier, Express & Parcel 7.3.2. Retail & FMCG 7.3.3. Transportation 7.3.4. BFSI 7.3.5. E-Commerce 7.3.6. Manufacturing 7.3.7. Pharmaceutical 7.3.8. Others 7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033 8. Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Industry Analysis and Outlook Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Industry Analysis and Outlook Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. Kanto 8.3.2. Chubu 8.3.3. Kinki 8.3.4. Kyushu & Okinawa 8.3.5. Tohoku 8.3.6. Rest of Japan 8.4. Industry Analysis and Outlook Attractiveness Analysis By Region 9. Kanto Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 9.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 9.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 9.2.1. By Deployment 9.2.2. By Enterprise Size 9.2.3. By Industry 9.3. Industry Analysis and Outlook Attractiveness Analysis 9.3.1. By Deployment 9.3.2. By Enterprise Size 9.3.3. By Industry 9.4. Key Takeaways 10. Chubu Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 10.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 10.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 10.2.1. By Deployment 10.2.2. By Enterprise Size 10.2.3. By Industry 10.3. Industry Analysis and Outlook Attractiveness Analysis 10.3.1. By Deployment 10.3.2. By Enterprise Size 10.3.3. By Industry 10.4. Key Takeaways 11. Kinki Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 11.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 11.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 11.2.1. By Deployment 11.2.2. By Enterprise Size 11.2.3. By Industry 11.3. Industry Analysis and Outlook Attractiveness Analysis 11.3.1. By Deployment 11.3.2. By Enterprise Size 11.3.3. By Industry 11.4. Key Takeaways 12. Kyushu & Okinawa Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 12.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 12.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 12.2.1. By Deployment 12.2.2. By Enterprise Size 12.2.3. By Industry 12.3. Industry Analysis and Outlook Attractiveness Analysis 12.3.1. By Deployment 12.3.2. By Enterprise Size 12.3.3. By Industry 12.4. Key Takeaways 13. Tohoku Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 13.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 13.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 13.2.1. By Deployment 13.2.2. By Enterprise Size 13.2.3. By Industry 13.3. Industry Analysis and Outlook Attractiveness Analysis 13.3.1. By Deployment 13.3.2. By Enterprise Size 13.3.3. By Industry 13.4. Key Takeaways 14. Rest of Industry Analysis and Outlook Analysis 2018 to 2022 and Forecast 2023 to 2033 14.1. Historical Industry Analysis and Outlook Size Value (US$ Million) Trend Analysis By Industry Analysis and Outlook Taxonomy, 2018 to 2022 14.2. Industry Analysis and Outlook Size Value (US$ Million) Forecast By Industry Analysis and Outlook Taxonomy, 2023 to 2033 14.2.1. By Deployment 14.2.2. By Enterprise Size 14.2.3. By Industry 14.3. Industry Analysis and Outlook Attractiveness Analysis 14.3.1. By Deployment 14.3.2. By Enterprise Size 14.3.3. By Industry 14.4. Key Takeaways 15. Industry Analysis and Outlook Structure Analysis 15.1. Competition Dashboard 15.2. Competition Benchmarking 15.3. Industry Analysis and Outlook Share Analysis of Top Players 15.3.1. By Regional 15.3.2. By Deployment 15.3.3. By Enterprise Size 15.3.4. By Industry 16. Competition Analysis 16.1. Competition Deep Dive 16.1.1. Rapyuta Robotics 16.1.1.1. Overview 16.1.1.2. Product Portfolio 16.1.1.3. Profitability by Industry Analysis and Outlook Segments 16.1.1.4. Sales Footprint 16.1.1.5. Strategy Overview 16.1.1.5.1. Industry Analysis and Outlooking Strategy 16.1.2. Open Logi 16.1.2.1. Overview 16.1.2.2. Product Portfolio 16.1.2.3. Profitability by Industry Analysis and Outlook Segments 16.1.2.4. Sales Footprint 16.1.2.5. Strategy Overview 16.1.2.5.1. Industry Analysis and Outlooking Strategy 16.1.3. Shippio 16.1.3.1. Overview 16.1.3.2. Product Portfolio 16.1.3.3. Profitability by Industry Analysis and Outlook Segments 16.1.3.4. Sales Footprint 16.1.3.5. Strategy Overview 16.1.3.5.1. Industry Analysis and Outlooking Strategy 16.1.4. Oracle 16.1.4.1. Overview 16.1.4.2. Product Portfolio 16.1.4.3. Profitability by Industry Analysis and Outlook Segments 16.1.4.4. Sales Footprint 16.1.4.5. Strategy Overview 16.1.4.5.1. Industry Analysis and Outlooking Strategy 16.1.5. Kahuna 16.1.5.1. Overview 16.1.5.2. Product Portfolio 16.1.5.3. Profitability by Industry Analysis and Outlook Segments 16.1.5.4. Sales Footprint 16.1.5.5. Strategy Overview 16.1.5.5.1. Industry Analysis and Outlooking Strategy 16.1.6. DESCARTES 16.1.6.1. Overview 16.1.6.2. Product Portfolio 16.1.6.3. Profitability by Industry Analysis and Outlook Segments 16.1.6.4. Sales Footprint 16.1.6.5. Strategy Overview 16.1.6.5.1. Industry Analysis and Outlooking Strategy 16.1.7. FarEye 16.1.7.1. Overview 16.1.7.2. Product Portfolio 16.1.7.3. Profitability by Industry Analysis and Outlook Segments 16.1.7.4. Sales Footprint 16.1.7.5. Strategy Overview 16.1.7.5.1. Industry Analysis and Outlooking Strategy 16.1.8. Track-POD 16.1.8.1. Overview 16.1.8.2. Product Portfolio 16.1.8.3. Profitability by Industry Analysis and Outlook Segments 16.1.8.4. Sales Footprint 16.1.8.5. Strategy Overview 16.1.8.5.1. Industry Analysis and Outlooking Strategy 16.1.9. LogiNext 16.1.9.1. Overview 16.1.9.2. Product Portfolio 16.1.9.3. Profitability by Industry Analysis and Outlook Segments 16.1.9.4. Sales Footprint 16.1.9.5. Strategy Overview 16.1.9.5.1. Industry Analysis and Outlooking Strategy 16.1.10. Zippykind 16.1.10.1. Overview 16.1.10.2. Product Portfolio 16.1.10.3. Profitability by Industry Analysis and Outlook Segments 16.1.10.4. Sales Footprint 16.1.10.5. Strategy Overview 16.1.10.5.1. Industry Analysis and Outlooking Strategy 16.1.11. Gloat 16.1.11.1. Overview 16.1.11.2. Product Portfolio 16.1.11.3. Profitability by Industry Analysis and Outlook Segments 16.1.11.4. Sales Footprint 16.1.11.5. Strategy Overview 16.1.11.5.1. Industry Analysis and Outlooking Strategy 16.1.12. Skillnet 16.1.12.1. Overview 16.1.12.2. Product Portfolio 16.1.12.3. Profitability by Industry Analysis and Outlook Segments 16.1.12.4. Sales Footprint 16.1.12.5. Strategy Overview 16.1.12.5.1. Industry Analysis and Outlooking Strategy 17. Assumptions & Acronyms Used 18. Research Methodology
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Industry Analysis of Last-mile Delivery Software in Japan
