In 2023, the sales of last-mile delivery software in Korea are estimated to be worth US$ 69.7 million. The last-mile delivery software demand is likely to achieve US$ 161.7 million by 2033, registering a CAGR of 8.6% from 2023 to 2033.
Demand for effective logistics solutions and growing eCommerce are moving Korea's enormous expansion in the last-mile delivery software sector. Companies emphasize streamlining operations, improving route optimization, and upgrading customer experiences to satisfy the demands. As last-mile delivery software companies work to fulfill the changing expectations of customers in the Korean market, the industry is anticipated to continue expanding.
| Attributes | Details |
|---|---|
| Demand Analysis (2023) | US$ 69.7 million |
| Demand Forecast (2033) | US$ 161.7 million |
| CAGR Estimation (2023 to 2033) | 8.6% |
| HCAGR Valuation (2018 to 2022) | 5.9% |
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eCommerce Empowerment: The last-mile delivery software industry has a sizable window of opportunity due to Korea's expanding e-commerce market. Businesses that offer practical and cutting-edge solutions to serve the developing e-commerce industry succeed.
Future of On-demand Delivery Alliances: Providing same-day and on-demand delivery services in response to rising demand remains attractive. To offer these services successfully, businesses must consider forming partnerships with merchants and e-commerce platforms.
Going Green in the Last-mile: Developing and marketing eco-friendly last-mile delivery solutions emerged as sustainability rose significantly. This includes delivery vehicles that are electric or hybrid or other environmentally friendly delivery solutions.
The essential variables are pushing the growth and possibility for investors to profit from the last-mile delivery software in Korea, making it a fascinating investment opportunity.
Principal Consultant
Due to its flexibility, scalability, and affordability, cloud-based last-mile delivery software dominates the Korea market. It allows firms to scale up swiftly or down operations in response to shifting last-mile delivery software demand. It is more affordable for a broader spectrum of enterprises because it doesn't require significant upfront expenditures in hardware or infrastructure like on-premises solutions do.
| Based on Deployment | Cloud-based Last-mile Delivery Software |
|---|---|
| CAGR (From 2023 to 2033) | 9.7% |
Cloud software's real-time tracking and delivery route optimization capabilities enable increased productivity and client satisfaction. The ideal choice for last-mile delivery software in Korea is cloud-based solutions because of their simplicity, financial benefits, and operational advantages.
Due to its heavy reliance on effective and trustworthy delivery services, e-commerce dominates Korea's last-mile delivery software sales. An increased need for efficient logistics solutions has arisen due to the growth of online shopping platforms to satisfy client demands for prompt and precise deliveries.
| Based on Deployment | eCommerce |
|---|---|
| CAGR (From 2023 to 2033) | 10.1% |
To optimize routes, improve tracking, and save operating costs, e-commerce companies prioritize investment in advanced last-mile delivery software. This dedication to innovation and consumer satisfaction fuels the e-commerce segment growth and the expansion of the entire sector, making it a dominant force in the last-mile delivery software demand.
Due to their flexibility and capacity to quickly respond to market changes, small and mid-sized enterprises (SMEs) dominate the demand for last-mile delivery software in Korea. The SMEs segment acquire a share of 42.8% in last-mile delivery software in Korea by 2023.
| Based on Enterprise Size | CAGR (From 2023 to 2033) |
|---|---|
| Small and Mid-sized Enterprises (SMEs) | 9.1% |
| Large Enterprises | 8.2% |
As rivalry in the last-mile delivery sector intensifies, SMEs recognize the value of sustaining competition with software solutions that offer route optimization, real-time tracking, and customer communication capabilities. Due to their quick adoption and implementation capacity, SMEs are in a prime position to lead Korea's demand for last-mile delivery software.
The developing e-commerce market and consumer desire for dependable, efficient delivery services have created a dynamic and competitive environment for last-mile delivery software in Korea. Leading last-mile delivery software players constantly innovate to improve their products and get an edge over rivals.
Advanced route optimization algorithms, real-time tracking capabilities, and interaction with e-commerce platforms influence the competitive environment. The last-mile delivery software businesses are putting more emphasis on sustainability and looking for eco-friendly delivery options to lessen their environmental impact and win over environmentally sensitive customers.
Leading last-mile delivery software players can be identified by their collaboration with logistics suppliers, seamless user interfaces, and vital customer service. Entrepreneurs and smaller competitors are putting established giants to the test on the market with specialized services and affordable solutions.
Keeping up with the developments and analyzing the competitive landscape is crucial for organizations looking to flourish in the thriving industry. Businesses in Korea continue to place a high priority on smooth last-mile delivery operations.
Recent Developments Observed in Last-mile Delivery Software in Korea
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| Attribute | Details |
|---|---|
| Estimated Valuation (2023) | US$ 69.7 million |
| Projected Valuation (2033) | US$ 161.7 million |
| Anticipated CAGR (2023 to 2033) | 8.6% |
| Historical Analysis of the Last-mile Delivery Market in Korea | 2018 to 2022 |
| Demand Forecast for Last-mile Delivery Market in Korea | 2023 to 2033 |
| Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Key Cities Analyzed While Studying Opportunities in the Last-mile Delivery Market in Korea | South Gyeongsang, North Jeolla, South Jeolla, Jeju |
| Key Companies Profiled in Last-mile Delivery Market in Korea | CJ Logistics; Hanjin Transportation; Logen; Korea Post; Woowa Brothers (Baemin); Coupang; Gmarket (eBay Korea) |
Adoption in Korea is estimated to record a growth of 8.6% through 2033.
Demand for last-mile delivery software in Korea is likely to be US$ 161.7 million by 2033.
Demand for last-mile delivery software in Korea is valued at US$ 69.7 million in 2023.
Cloud-based deployment model is likely to exhibit a CAGR of 9.7% through 2033.
eCommerce to hold a significant share in the last-mile delivery operations in Korea.
1. Executive Summary
1.1. Korea 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. South Gyeongsang
8.3.2. North Jeolla
8.3.3. South Jeolla
8.3.4. Jeju
8.3.5. Rest of Korea
8.4. Industry Analysis and Outlook Attractiveness Analysis By Region
9. South Gyeongsang 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. North Jeolla 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. South Jeolla 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. Jeju 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. Rest of 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. Industry Analysis and Outlook Structure Analysis
14.1. Competition Dashboard
14.2. Competition Benchmarking
14.3. Industry Analysis and Outlook Share Analysis of Top Players
14.3.1. By Regional
14.3.2. By Deployment
14.3.3. By Enterprise Size
14.3.4. By Industry
15. Competition Analysis
15.1. Competition Deep Dive
15.1.1. Logiall
15.1.1.1. Overview
15.1.1.2. Product Portfolio
15.1.1.3. Profitability by Industry Analysis and Outlook Segments
15.1.1.4. Sales Footprint
15.1.1.5. Strategy Overview
15.1.1.5.1. Industry Analysis and Outlooking Strategy
15.1.2. Barogo
15.1.2.1. Overview
15.1.2.2. Product Portfolio
15.1.2.3. Profitability by Industry Analysis and Outlook Segments
15.1.2.4. Sales Footprint
15.1.2.5. Strategy Overview
15.1.2.5.1. Industry Analysis and Outlooking Strategy
15.1.3. Vroong
15.1.3.1. Overview
15.1.3.2. Product Portfolio
15.1.3.3. Profitability by Industry Analysis and Outlook Segments
15.1.3.4. Sales Footprint
15.1.3.5. Strategy Overview
15.1.3.5.1. Industry Analysis and Outlooking Strategy
15.1.4. Oracle
15.1.4.1. Overview
15.1.4.2. Product Portfolio
15.1.4.3. Profitability by Industry Analysis and Outlook Segments
15.1.4.4. Sales Footprint
15.1.4.5. Strategy Overview
15.1.4.5.1. Industry Analysis and Outlooking Strategy
15.1.5. Kahuna
15.1.5.1. Overview
15.1.5.2. Product Portfolio
15.1.5.3. Profitability by Industry Analysis and Outlook Segments
15.1.5.4. Sales Footprint
15.1.5.5. Strategy Overview
15.1.5.5.1. Industry Analysis and Outlooking Strategy
15.1.6. DESCARTES
15.1.6.1. Overview
15.1.6.2. Product Portfolio
15.1.6.3. Profitability by Industry Analysis and Outlook Segments
15.1.6.4. Sales Footprint
15.1.6.5. Strategy Overview
15.1.6.5.1. Industry Analysis and Outlooking Strategy
15.1.7. FarEye
15.1.7.1. Overview
15.1.7.2. Product Portfolio
15.1.7.3. Profitability by Industry Analysis and Outlook Segments
15.1.7.4. Sales Footprint
15.1.7.5. Strategy Overview
15.1.7.5.1. Industry Analysis and Outlooking Strategy
15.1.8. Track-POD
15.1.8.1. Overview
15.1.8.2. Product Portfolio
15.1.8.3. Profitability by Industry Analysis and Outlook Segments
15.1.8.4. Sales Footprint
15.1.8.5. Strategy Overview
15.1.8.5.1. Industry Analysis and Outlooking Strategy
15.1.9. LogiNext
15.1.9.1. Overview
15.1.9.2. Product Portfolio
15.1.9.3. Profitability by Industry Analysis and Outlook Segments
15.1.9.4. Sales Footprint
15.1.9.5. Strategy Overview
15.1.9.5.1. Industry Analysis and Outlooking Strategy
15.1.10. Zippykind
15.1.10.1. Overview
15.1.10.2. Product Portfolio
15.1.10.3. Profitability by Industry Analysis and Outlook Segments
15.1.10.4. Sales Footprint
15.1.10.5. Strategy Overview
15.1.10.5.1. Industry Analysis and Outlooking Strategy
15.1.11. Gloat
15.1.11.1. Overview
15.1.11.2. Product Portfolio
15.1.11.3. Profitability by Industry Analysis and Outlook Segments
15.1.11.4. Sales Footprint
15.1.11.5. Strategy Overview
15.1.11.5.1. Industry Analysis and Outlooking Strategy
15.1.12. Skillnet
15.1.12.1. Overview
15.1.12.2. Product Portfolio
15.1.12.3. Profitability by Industry Analysis and Outlook Segments
15.1.12.4. Sales Footprint
15.1.12.5. Strategy Overview
15.1.12.5.1. Industry Analysis and Outlooking Strategy
16. Assumptions & Acronyms Used
17. Research Methodology
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Industry Analysis of Last-mile Delivery Software in Korea
