¼¼°èÀÇ ÀÚÀ²Çü ¶ó½ºÆ® ¸¶ÀÏ ¹è¼Û ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® º¸°í¼­ : ¹üÀ§º°, ¼Ö·ç¼Çº°, Â÷·® À¯Çüº°, ¿ëµµº°, Áö¿ªº° Àü¸Á°ú ¿¹Ãø(2024-2031³â)
Global Autonomous Last Mile Delivery Market Size, Share & Trends Analysis Report By Range (Short Range and Long Range), By Solution, By Vehicle Type, By Application, By Regional Outlook and Forecast, 2024 - 2031
»óǰÄÚµå : 1709757
¸®¼­Ä¡»ç : KBV Research
¹ßÇàÀÏ : 2025³â 03¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 254 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 3,600 £Ü 5,052,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 4,320 £Ü 6,062,000
PDF (Multi User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ 10¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,048 £Ü 8,487,000
PDF (Corporate User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

ÀÚÀ²Çü ¶ó½ºÆ® ¸¶ÀÏ ¹è¼Û ½ÃÀå ±Ô¸ð´Â ¿¹Ãø ±â°£ µ¿¾È 23.1%ÀÇ ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR)·Î ¼ºÀåÇÏ¿© 2031³â±îÁö 67¾ï 6,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¶ÇÇÑ, ÀΰøÁö´É(AI), ¸Ó½Å·¯´×(ML), ·Îº¿°øÇÐÀÇ ¹ßÀüÀº È¿À²¼º, Á¤È®¼º, ºñ¿ë È¿À²¼ºÀ» Çâ»ó½ÃÅ´À¸·Î½á ¶ó½ºÆ®¸¶ÀÏ ÀÚµ¿ ¹è¼Û¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í ÀÖÀ¸¸ç, AI¸¦ Ȱ¿ëÇÑ °æ·Î ÃÖÀûÈ­´Â ±³Åë ÆÐÅÏ, ±â»ó Á¶°Ç, µµ·Î Á¤Ã¼¿¡ µû¶ó ½Ç½Ã°£À¸·Î Á¶Á¤ÇÏ¿© °¡Àå È¿À²ÀûÀÎ ¹è¼Û °æ·Î¸¦ º¸ÀåÇÕ´Ï´Ù. °¡Àå È¿À²ÀûÀÎ ¹è¼Û °æ·Î¸¦ È®º¸ÇÕ´Ï´Ù. µû¶ó¼­ ÀÌ·¯ÇÑ ¿ä¼ÒµéÀº ½ÃÀå È®´ë¸¦ ÃËÁøÇÒ °ÍÀÔ´Ï´Ù.

±×·¯³ª °íµµÀÇ ÀÚÀ² ½Ã½ºÅÛ °³¹ßÀ» À§Çؼ­´Â ¿¬±¸°³¹ß(R&D), ¼ÒÇÁÆ®¿þ¾î ¿£Áö´Ï¾î¸µ, Çϵå¿þ¾î ÅëÇÕ¿¡ ¸·´ëÇÑ ÀÚ±ÝÀÌ ÇÊ¿äÇÕ´Ï´Ù. ±â¾÷Àº ¿øÈ°ÇÏ°í ¾ÈÀüÇÑ ¹è¼ÛÀ» À§ÇØ LiDAR, ·¹ÀÌ´õ, °íÇØ»óµµ Ä«¸Þ¶ó, GPS ³×ºñ°ÔÀ̼Ç, AI¸¦ Ȱ¿ëÇÑ ÀÇ»ç°áÁ¤ ½Ã½ºÅÛ µî ÷´Ü ±â¼ú¿¡ ÅõÀÚÇØ¾ß ÇÕ´Ï´Ù. ÀÚÀ²ÁÖÇà µå·Ð, ·Îº¿, ÀÚÀ²ÁÖÇà ¹è¼Û ¹ê µî ÀÚÀ²ÁÖÇàÂ÷·®(ADV)À» ±¸ÃàÇϱâ À§Çؼ­´Â ¾ÈÀü°ú ±ÔÁ¦ ±âÁØÀ» ÃæÁ·Çϱâ À§ÇÑ °í°¡ÀÇ Á¦Á¶ °øÁ¤°ú ¾ö°ÝÇÑ Å×½ºÆ®°¡ ¼ö¹ÝµË´Ï´Ù. µû¶ó¼­ ÀÚÀ²ÁÖÇà ¹è¼Û Â÷·®ÀÇ °³¹ß, µµÀÔ, À¯Áö¿¡ ¼Ò¿äµÇ´Â ¸·´ëÇÑ ÀÚ±Ý ºÎ´ãÀº ¿©ÀüÈ÷ ½ÃÀå È®´ë¿¡ Å« °É¸²µ¹·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù.

°Å¸®ÀÇ Àü¸Á

Ç×ÇØ °Å¸®¿¡ µû¶ó ½ÃÀåÀº ´Ü°Å¸®¿Í Àå°Å¸®·Î ³ª´¹´Ï´Ù. Àå°Å¸® ºÎ¹®Àº 2023³â ½ÃÀå ¼öÀÍ Á¡À¯À²ÀÇ 34%¸¦ Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ±â¾÷µéÀÌ ¿î¿µ ºñ¿ë Àý°¨, °ø±Þ¸Á È¿À²¼º ÃÖÀûÈ­, Àη ºÎÁ·À» ±Øº¹Çϱâ À§ÇÑ ¼Ö·ç¼ÇÀ» ¸ð»öÇϸ鼭 ÀÚÀ²ÁÖÇà Æ®·°, ÀÚÀ²ÁÖÇà ¹ê, Ç×°ø ¹è¼Û µå·ÐÀÇ µµÀÔÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. Áö¿ª °£ ÀüÀÚ»ó°Å·¡, ÇコÄÉ¾î ¹°·ù ¹× ´ë·® ¹è¼Û ¼­ºñ½ºÀÇ ¼ºÀåÀº Àå°Å¸® ÀÚÀ² ÁÖÇà ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä¸¦ ´õ¿í °¡¼ÓÈ­½Ã۰í ÀÖ½À´Ï´Ù.

¼Ö·ç¼Ç Àü¸Á

¼Ö·ç¼Çº°·Î ½ÃÀåÀº Çϵå¿þ¾î, ¼ÒÇÁÆ®¿þ¾î, ¼­ºñ½º·Î ºÐ·ùµË´Ï´Ù. ¼ÒÇÁÆ®¿þ¾î ¹× ¿ÍÀ̾µå ºÐ¾ß´Â 2023³â ½ÃÀå Á¡À¯À²ÀÇ 37%¸¦ Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¸Ó½Å·¯´× ¾Ë°í¸®Áò, IoT ±â¹Ý ÃßÀû, Ŭ¶ó¿ìµå ±â¹Ý ÀÚµ¿È­ Ç÷§ÆûÀÇ ÅëÇÕÀ» ÅëÇØ ÀÚÀ²ÁÖÇàÂ÷´Â º¹ÀâÇÑ È¯°æÀ» È¿À²ÀûÀ¸·Î ÁÖÇàÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, 5G ¿¬°á°ú »çÀ̹ö º¸¾ÈÀÇ ¹ßÀüÀ¸·Î Â÷·® °£(V2V) ¹× Â÷·® ÀÎÇÁ¶ó °£(V2I) Åë½ÅÀÌ Çâ»óµÇ¾î ¹è¼Û Â÷·® °£ÀÇ ¿øÈ°ÇÑ Çù¾÷À» º¸ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù.

Â÷Á¾º° Àü¸Á

Â÷·® À¯Çü¿¡ µû¶ó ½ÃÀåÀº ÀÚÀ²ÁÖÇà Æ®·° ¹× ¹ê, °øÁß ¹è¼Û µå·Ð, Áö»ó ¹è¼Û ·Îº¿À¸·Î ºÐ·ùµË´Ï´Ù. Ç×°ø ¹è¼Û µå·Ð ºÎ¹®Àº 2023³â ½ÃÀåÀÇ 25%ÀÇ ¸ÅÃâ Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. µå·ÐÀº ±³Åë üÁõÀ» ÇÇÇÏ°í ¿ø°ÝÁö³ª ÀçÇØ Áö¿ª¿¡ µµ´ÞÇÒ ¼ö ÀÖ¾î ¶ó½ºÆ® ¸¶ÀÏ ¹°·ù¿¡ ±ÍÁßÇÑ ÀÚ»êÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¹èÅ͸® ¼ö¸í °³¼±, AI ±â¹Ý ³»ºñ°ÔÀ̼Ç, ½Ç½Ã°£ ÃßÀû ±â¼úÀÇ ¹ßÀüÀ¸·Î È¿À²¼ºÀÌ Çâ»óµÇ°í ÀÖÀ¸¸ç, ÀϺΠÁö¿ª¿¡¼­´Â ±ÔÁ¦ ´ç±¹ÀÇ Áö¿øÀ¸·Î µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù.

¿ëµµ Àü¸Á

¿ëµµº°·Î ½ÃÀåÀº ¹°·ù, ÇコÄÉ¾î ¹× Á¦¾à, À½·á ¹× ½Äǰ, ¼Ò¸Å, ±âŸ·Î ºÐ·ùµË´Ï´Ù. ½ÄÀ½·á ºÎ¹®Àº 2023³â ½ÃÀå Á¡À¯À² 26%¸¦ Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ½Å¼ÓÇÏ°í ºñÁ¢Ã˽ÄÀÌ¸ç ºñ¿ë È¿À²ÀûÀÎ ¹è¼Û ¿É¼Ç¿¡ ´ëÇÑ ¿ä±¸·Î ÀÎÇØ ÀÚÀ² ½Äǰ ¹è¼Û º¿, AI¸¦ Ȱ¿ëÇÑ °æ·Î ÃÖÀûÈ­, ¿Âµµ Á¦¾î ¿î¼Û ¼Ö·ç¼ÇÀÌ ºü¸£°Ô µµÀԵǰí ÀÖ½À´Ï´Ù. µµ½Ã Áö¿ª, ´ëÇÐ Ä·ÆÛ½º, ÁÖ°Å Áö¿ª¿¡¼­´Â Áö»ó ·Îº¿°ú µå·ÐÀ» ÅëÇÑ À½½Ä ¹è´ÞÀÇ ÀÌ¿ëÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, ÀÌ´Â ¼ÒºñÀÚÀÇ ÆíÀǼºÀ» ³ôÀÌ°í »ç¶÷¿¡ ÀÇÇÑ ¹°·ù ÀÇÁ¸µµ¸¦ ³·Ãß´Â µ¥ ±â¿©Çϰí ÀÖ½À´Ï´Ù.

Áö¿ª Àü¸Á

Áö¿ªº°·Î´Â ºÏ¹Ì, À¯·´, ¾Æ½Ã¾ÆÅÂÆò¾ç, LAMEA(¶ó ¸Þ¸®¾Æ ¾Æ¶ø ±¹°¡)·Î ½ÃÀåÀ» ºÐ¼®Çß½À´Ï´Ù. À¯·´ ºÎ¹®Àº 2023³â ½ÃÀå ¼öÀÍÀÇ 32%¸¦ Â÷ÁöÇß½À´Ï´Ù. À¯·´ ºÎ¹®Àº Áö¼Ó°¡´É¼º¿¡ ´ëÇÑ ³ë·Â, ÀÚÀ² ÁÖÇà ¸ðºô¸®Æ¼¿¡ ´ëÇÑ ±ÔÁ¦ Áö¿ø, È¿À²ÀûÀÎ µµ½Ã ¹°·ù¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ÈûÀÔ¾î ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. À¯·´ ±¹°¡µéÀº ÀÌ»êȭź¼Ò ¹èÃâ·®À» ÁÙÀ̰í Àα¸ ¹ÐÁý µµ½ÃÀÇ ±³Åë üÁõÀ» ¿ÏÈ­Çϱâ À§ÇØ Ä£È¯°æ ÀÚÀ²ÁÖÇà ¹è¼Û ¼Ö·ç¼ÇÀ» Àû±ØÀûÀ¸·Î ÃßÁøÇϰí ÀÖ½À´Ï´Ù. ÆÄÀÏ·µ ÇÁ·ÎÁ§Æ®, ½º¸¶Æ®½ÃƼ ÅëÇÕ, AI ±â¹Ý Â÷·® °ü¸® ½Ã½ºÅÛ¿¡ ´ëÇÑ Á¤ºÎÀÇ °­·ÂÇÑ Áö¿øÀ¸·Î ÀÚÀ² ÁÖÇà ¶ó½ºÆ®¸¶ÀÏ ¹è¼Û Â÷·®ÀÇ µµÀÔÀÌ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ½ÃÀå ¹üÀ§¿Í Á¶»ç ¹æ¹ý

Á¦2Àå ½ÃÀå °³°ü

Á¦3Àå ½ÃÀå °³¿ä

Á¦4Àå ¼¼°è ½ÃÀå : ¹üÀ§º°

Á¦5Àå ¼¼°è ½ÃÀå : ¼Ö·ç¼Çº°

Á¦6Àå ¼¼°è ½ÃÀå : Â÷·® À¯Çüº°

Á¦7Àå ¼¼°è ½ÃÀå : ¿ëµµº°

Á¦8Àå ¼¼°è ½ÃÀå : Áö¿ªº°

Á¦9Àå ±â¾÷ °³¿ä

Á¦10Àå ÀÚÀ²Çü ¶ó½ºÆ® ¸¶ÀÏ ¹è¼Û ½ÃÀåÀ» À§ÇÑ ¼º°ø Çʼö Á¶°Ç

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The Global Autonomous Last Mile Delivery Market size is expected to reach $6.76 billion by 2031, rising at a market growth of 23.1% CAGR during the forecast period.

The North America segment recorded 43% revenue share in the market in 2023. The presence of major players such as Amazon, FedEx, UPS, and Walmart has significantly accelerated the deployment of autonomous ground bots, self-driving vans, and aerial drones for last-mile delivery. Favorable government policies, robust R&D initiatives, and the expansion of smart city infrastructure have further strengthened market growth.

The e-commerce boom, fueled by platforms like Amazon, Flipkart, Alibaba, and Walmart, has placed immense pressure on logistics networks to optimize delivery efficiency and reduce costs. According to the United Nations Conference on Trade and Development (UNCTAD), the global e-commerce industry was valued at $26.7 trillion in 2019, with online retail sales accounting for 19% of total retail sales, a significant jump from 16% in 2019. This surge in online shopping creates an urgent need for scalable and automated logistics solutions, particularly in last-mile delivery, which accounts for more than 50% of total shipping costs. Hence, as online retail expands, adopting AI-driven logistics solutions will ensure efficient, timely, and cost-effective last-mile deliveries, shaping the future of e-commerce logistics.

Additionally, Advancements in Artificial Intelligence (AI), Machine Learning (ML), and Robotics are revolutionizing autonomous last-mile delivery by enhancing efficiency, accuracy, and cost-effectiveness. AI-powered route optimization enables real-time adjustments based on traffic patterns, weather conditions, and road congestion, ensuring the most efficient delivery paths. Thus, these factors will aid in the expansion of the market.

However, Developing an advanced autonomous system requires substantial funding for research and development (R&D), software engineering, and hardware integration. Companies must invest in cutting-edge technologies like LiDAR, radar, high-definition cameras, GPS navigation, and AI-driven decision-making systems to ensure seamless and safe deliveries. Building a fleet of ADVs, whether autonomous drones, robots, or self-driving delivery vans, involves expensive manufacturing processes and stringent testing to comply with safety and regulatory standards. Hence, the heavy financial burden of developing, deploying, and maintaining autonomous delivery vehicles remains a key roadblock to market expansion.

Range Outlook

On the basis of range, the market is bifurcated into short range and long range. The long range segment recorded 34% revenue share in the market in 2023. The adoption of self-driving trucks, autonomous vans, and aerial delivery drones is increasing as businesses seek solutions to reduce operational costs, optimize supply chain efficiency, and overcome labor shortages. The growth of cross-regional e-commerce, healthcare logistics, and bulk delivery services has further accelerated the demand for long-range autonomous solutions.

Solution Outlook

By solution, the market is divided into hardware, software, and services. The software wire bond segment garnered 37% revenue share in the market in 2023. The integration of machine learning algorithms, IoT-enabled tracking, and cloud-based automation platforms enhances the ability of autonomous vehicles to navigate complex environments efficiently. Additionally, 5G connectivity and cybersecurity advancements improve vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, ensuring seamless coordination between delivery fleets.

Vehicle Type Outlook

Based on vehicle type, the market is classified into self driving trucks & vans, aerial delivery drones, and ground delivery bots. The aerial delivery drones segment procured 25% revenue share in the market in 2023. The ability of drones to bypass traffic congestion and reach remote or disaster-affected areas has made them a valuable asset for last-mile logistics. Improvements in battery life, AI-driven navigation, and real-time tracking technologies have enhanced their efficiency, while regulatory support in some regions has accelerated their deployment.

Application Outlook

Based on application, the market is segmented into logistics, healthcare & pharmaceutical, food & beverage, retail, and others. The food & beverage segment acquired 26% revenue share in the market in 2023. The need for fast, contactless, and cost-effective delivery options has led to the rapid deployment of autonomous food delivery bots, AI-powered route optimization, and temperature-controlled transport solutions. Urban areas, university campuses, and residential communities are witnessing increased use of ground robots and drone-based food deliveries, enhancing consumer convenience and reducing reliance on human-operated logistics.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 32% revenue share in the market in 2023. The Europe segment is driven by sustainability initiatives, regulatory support for autonomous mobility, and the growing demand for efficient urban logistics. European countries actively promote eco-friendly and autonomous delivery solutions to reduce carbon emissions and ease congestion in densely populated cities. Strong government backing for pilot projects, smart city integration, and AI-based fleet management systems has encouraged wider adoption of autonomous last-mile delivery vehicles.

List of Key Companies Profiled

Global Autonomous Last Mile Delivery Market Report Segmentation

By Range

By Solution

By Vehicle Type

By Application

By Geography

Table of Contents

Chapter 1. Market Scope & Methodology

Chapter 2. Market at a Glance

Chapter 3. Market Overview

Chapter 4. Global Autonomous Last Mile Delivery Market by Range

Chapter 5. Global Autonomous Last Mile Delivery Market by Solution

Chapter 6. Global Autonomous Last Mile Delivery Market by Vehicle Type

Chapter 7. Global Autonomous Last Mile Delivery Market by Application

Chapter 8. Global Autonomous Last Mile Delivery Market by Region

Chapter 9. Company Profiles

Chapter 10. Winning Imperatives of Autonomous Last Mile Delivery Market

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â