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An In-depth Analysis of Last-mile Delivery Software in Korea (2023 to 2033)

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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Last-mile Delivery Software Trends Shaping the Industry in Korea

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.

Opportunities for Last-mile Delivery Software Providers in Korea

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.

  • Korean consumers' preference for convenience and prompt service emphasizes the advanced last-mile delivery technology requirement. The market is diversified and dynamic due to the demand across industries, including food delivery, retail, and grocery.
  • Adopting cutting-edge technology in the Korea last-mile delivery software sector, such as artificial intelligence (AI) and the Internet of Things (IoT), provides a fertile environment for innovation.
  • The Korean government's dedication to assisting the e-commerce and logistics sectors through infrastructure development and regulatory assistance improves the environment for investment. The conditions are favorable for the expansion of last-mile delivery software manufacturers.
Sudip Saha
Sudip Saha

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Comparative View of Adjacent Last-mile Delivery Software in Korea

The table compares Western Europe, Korea, and Japan last-mile delivery software pricing tactics. It evaluates how various regions adjust with market dynamics, consumer behavior, and rivalry differences.

Understanding these variances is essential for organizations looking to customize the last-mile delivery software tactics to each region's or country's specific demands and trends.

Industry Analysis of Last-mile Delivery Software in Korea:

Attributes Industry Analysis of Last-mile Delivery Software in Korea
CAGR between 2023 to 2033 8.6%
Industry Size of Last-mile Delivery Software in Korea in 2023 US$ 69.7 million
Key Trends
  • Last-mile delivery software businesses are investing in electric and environmentally friendly delivery vehicles in Korea.
  • For efficient order administration, last-mile software solutions connect with e-commerce platforms.
Key Challenge
  • Last-mile delivery software in Korea faces significant challenges due to traffic congestion in urban areas.

Industry Analysis of Last-mile Delivery Software in Japan:

Attributes Industry Analysis of Last-mile Delivery Software in Japan
CAGR between 2023 to 2033 9.9%
Industry Size of Last-mile Delivery Software in Japan in 2023 US$ 86.3 million
Key Trends To ride the profitable wave accessible for last-mile delivery players in Japan, new players enter new markets.
Key Challenge High startup and operating costs may prevent new last-mile delivery software players from prospering.

Industry Analysis of Last-mile Delivery Software in Western Europe:

Attributes Industry Analysis of Last-mile Delivery Software in Western Europe
CAGR between 2023 to 2033 10.5%
Industry Size of Last-mile Delivery Software in North America in 2023 US$ 392.5 million
Key Trends As technological dependence increases, last-mile delivery players should invest in autonomous and contactless delivery.
Key Challenge Entry obstacles are vital since last-mile deliveries are expensive due to reverse logistics.

Category-wise insights

Cloud-based Delivery Software Solutions to Overpower On-premise Deployment

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.

Leading Position of eCommerce Shape the Future of Last-mile Logistics Software in Korea

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.

SMEs Fuel Growth of Last-Mile Software Sector in Korea

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.

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Competitive Landscape

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

  • 'The Unban,' a new transport platform from CJ Logistics that combines cutting-edge technology and logistics know-how, makes its debut. With the help of AI and big data, this platform provides transparent pricing and streamlined procedures advantageous to shippers and carriers. In a market that needs more digital transformation, it revolutionizes the transportation industry by addressing inefficiencies and exorbitant fees.
  • The ‘City of the Future’ becomes real when Baemin sends out an outdoor delivery robot. Customers order through the Baemin app, and the robot delivers right to their door while operating in the Gwanggyo Alley Way housing complex. With this invention, delivery costs are decreased, which benefits customers and increases restaurant profitability.
  • Delivery Hero established a strategic alliance with Woowa Brothers Corp. on December 13 to grow in Asia. Baedal Minjok, South Korea's most popular internet food delivery service, is run by Woowa. With a joint venture in Singapore and a contract worth US$ 4.0 billion, the CEO of Woowa led Delivery Hero's Asia Pacific operations as chairman of the board. Ultimately, Delivery Hero is to pay around €1.7 billion in cash and €1.9 billion in shares to buy 100% of Woowa.

Some Key Players in Last-mile Delivery Software in Korea

  • CJ Logistics
  • Hanjin Transportation
  • Logen
  • Korea Post
  • Woowa Brothers (Baemin)
  • Coupang
  • Gmarket (eBay Korea)

Scope of the Report

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)

Key Segments

By Deployment:

  • Cloud-based
  • On-Premises
  • Web-based

By Enterprise Size:

  • Small and Mid-sized Enterprises (SMEs)
  • Large Enterprises

By Industry:

  • Courier, Express & Parcel
  • Retail & FMCG
  • Transportation
  • BFSI
  • eCommerce
  • Manufacturing
  • Pharmaceutical
  • Others

Key Cities/Provinces:

  • South Gyeongsang
  • North Jeolla
  • South Jeolla
  • Jeju

Frequently Asked Questions

At What Rate is the Last-mile Delivery Software Ecosystem Growing in Korea?

Adoption in Korea is estimated to record a growth of 8.6% through 2033.

How Big Will the Last-mile Delivery Market Be in the Korea?

Demand for last-mile delivery software in Korea is likely to be US$ 161.7 million by 2033.

What is the Current Valuation of the Last-mile Delivery Market in Korea?

Demand for last-mile delivery software in Korea is valued at US$ 69.7 million in 2023.

Which is the Preferred Deployment Model for Last-mile Delivery Software in Korea?

Cloud-based deployment model is likely to exhibit a CAGR of 9.7% through 2033.

Which Industry Category Contributes Significant Growth?

eCommerce to hold a significant share in the last-mile delivery operations in Korea.

Table of Content

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