Analytical Study of Last-mile Delivery Software in Japan (2023 to 2033)
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
Japanese fleets seek modernization of their delivery operations to maximize efficiency and fleet utilization in parallel to customer experience. Key players adopting new technologies like Machine Learning, Artificial Intelligence, Bluetooth Low Energy (BLE), Speech Recognition, Internet of Things (IoT), or others to enhance the user experience are expected to move past the competition.
Last-mile delivery operators are shattering barriers by focusing on meeting fast delivery requirements. Gen Z and millennials, in particular, prefer fast deliveries to meet their last-minute or other needs. Tracking this trend, operators are pooling resources for a speedier delivery timeline.
Japan has recently rolled out traffic laws for autonomous robots to navigate its streets. The new regulations are predicted to assist older adults living in remote areas in meeting their basic shopping requirements and put rest to ongoing labor shortage issues.
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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Key Trends Influencing Sales of Last-mile Delivery Software in Japan
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:
Connecting eCommerce with Consumers! The popularity of eCommerce puts immense pressure on last-mile delivery platforms. eCommerce sales have grown multifold during the historical period, with the COVID-19 pandemic only catapulting this trend as consumers began demanding contactless shopping experiences for safety purposes.
Putting Societal Issues at Bay! The elderly populace in Japan is highly dependent on last-mile delivery platforms. Due to this challenge-posing demographics, last-mile delivery software operators are turning to efficiency levers and better technologies to reach Japan’s population at scale.
Delivery Robots are the Best Bet! Compact delivery robots and personal delivery devices, delivering 100 kg or less weighing packages at a maximum speed of 5 km/h or less, are the best bet to cope with issues like labor shortages. This technology also reduces GHG emissions and overall costs.
Comparative View of Adjacent Last-mile Delivery Solutions in Key Markets
The table helps relate to other adjacent markets offering last-mile delivery management solutions. This study has considered global, Japan, and Western Europe. Reflecting on the analysis, North America is predicted to witness a slower penetration level than Japan and the worldwide market during the assessment period.
Japan’s higher adoption rate of last-mile delivery software can be attributed to relatively recent familiarity with the latest technologies than in developed regions. Sales of last-mile delivery software solutions are predicted to gain significant value.
Industry Analysis of Last-mile Delivery Software Solutions in Japan:
Attributes
Industry Analysis of Last-mile Delivery Software Solutions in Japan
Japan’s CAGR between 2023 to 2033
9.9%
Industry Size of Japan in 2023
US$ 86.3 million
Key Trends
Increasing demand for technology that promotes efficiency and has less impact on the environment
Key Challenge
Government policies to issue operating rules to manage road traffic
Industry Analysis of Last-mile Delivery Software Solutions in Western Europe:
Attributes
Industry Analysis of Last-mile Delivery Software Solutions in Western Europe
Find your sweet spots for generating winning opportunities in this market.
Category-wise insights
Cloud-based Deployment Model to Attract Wider Adoption in Japan
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%
eCommerce to Outperform Other Applications
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.
Explore the Ways Last-mile Delivery Software Providers are Covering Miles
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:
Increasing emphasis on partnership and collaboration with other technology providers to elevate business and product portfolio, thus helping the company serve the market requirement.
Zeroing in on research and development to develop a new or updated version of a product. Following this strategy, players can adapt to the evolving demands of consumers and help them bring process efficiencies.
Expanding its business via collaboration and partnership with other industry players, thus increasing its customer base and sales footprint.
Recent Developments Observed in Last-mile Delivery Services in Japan
In December 2022, Japan Post Co. announced the launch of a new logistics drone to make drone delivery operations a reality in Japan. The new drone, made in collaboration with ACSL Ltd., a Tokyo-based company, can transport 5 kg, which is 3X the old model capacity. It can travel 35 kilometers. The new model is projected to be used by Japan Post for its Yu-Pack parcel delivery service and parcel transportation between post offices.
In July 2022, Higashikawa Town and certain companies formed a partnership to sponsor projects that promote new social values. Under this official partnership agreement, Seino HD, Aeronext, Higashikawa Town, and Dentsu Hokkaido aim to execute a last-mile logistics trial using a logistics drone.
In July 2021, Wise Systems, a prominent provider of AI-driven routing and dispatching platforms, announced its expansion in Japan with Wise Systems Japan.
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Some Key Companies Offering Last-mile Delivery Software in Japan
Sagawa Express
Yamato Transport (Kuroneko)
Rakuten Super Logistics
Sagawa Global Logistics
Nippon Express
Parcel Live Japan
OpenLogi
Delight Ventures
AnyMind Group
QUOQUS
Others
Scope of the Report
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
Key Segments
Deployment:
Cloud-based Last-Mile Delivery Software
On-Premises Last-Mile Delivery Software
Web-based Last-Mile Delivery Software
Enterprise Size:
Small and Mid-sized Enterprises (SMEs)
Large Enterprises
Industry:
Courier, Express & Parcel
Retail & FMCG
Transportation
BFSI
eCommerce
Manufacturing
Pharmaceutical
Others
Key Cities:
Kanto
Chubu
Kinki
Kyushu & Okinawa
Tohoku
Rest of Japan
Frequently Asked Questions
At What Rate is the Last-mile Delivery Software Ecosystem Growing in Japan?
The anticipated CAGR through 2033 is 9.9%.
How Big Will the Last-mile Delivery Market Be in Japan?
Demand for last-mile delivery software in Japan is expected to be US$ 225.4 million by 2033.
What are the Key Strategies Providers in Japan are Adopting for the Last-mile Delivery Software?
Focus on innovation and long-term sustainability to drive players’ moves.
Which is the Preferred Deployment Model for Last-mile Delivery Software in Japan?
Cloud-based deployment model is predicted to retain its maximum share in the forecast period.
Which Application Area Contributes Significantly?
eCommerce is likely to remain a key contributor to last-mile delivery operations in Japan.
Table of Content
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 Used18. Research Methodology
