¼¼°èÀÇ ·ÎÄÉÀÌ¼Ç ºÐ¼® ½ÃÀå
Location Analytics
»óǰÄÚµå : 1655336
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 02¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 196 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,263,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,789,000
PDF (Global License to Company and its Fully-owned Subsidiaries) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¼¼°èÀÇ ·ÎÄÉÀÌ¼Ç ºÐ¼® ½ÃÀåÀº 2030³â±îÁö 689¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 326¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ ·ÎÄÉÀÌ¼Ç ºÐ¼® ½ÃÀåÀº 2024-2030³â¿¡ 13.3%ÀÇ CAGR·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 689¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀÎ ·ÎÄÉÀÌ¼Ç ºÐ¼® ¼Ö·ç¼ÇÀº CAGR 13.2%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 447¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ·ÎÄÉÀÌ¼Ç ºÐ¼® ¼­ºñ½º ºÐ¾ßÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ÀÇ CAGR·Î 13.4%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 90¾ï ´Þ·¯, Áß±¹Àº CAGR 12.6%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹Ãø

¹Ì±¹ÀÇ ·ÎÄÉÀÌ¼Ç ºÐ¼® ½ÃÀåÀº 2024³â¿¡ 90¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 106¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³âÀÇ CAGRÀº 12.6%ÀÔ´Ï´Ù. ±âŸ ÁÖ¸ñÇØ¾ß ÇÒ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 11.5%¿Í 11.3%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 9.6%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°è À§Ä¡Á¤º¸ ºÐ¼® ½ÃÀå - ÁÖ¿ä µ¿Çâ ¹× ÃËÁø¿äÀÎ Á¤¸®

À§Ä¡ ºÐ¼®Àº ¾î¶»°Ô ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º¿¡ Çõ¸íÀ» ÀÏÀ¸Å°°í Àִ°¡?

À§Ä¡ ºÐ¼®Àº ±âÁ¸ÀÇ µ¥ÀÌÅÍ ºÐ¼® ÇÁ·¹ÀÓ¿öÅ©¿¡ Áö¿ª ºÐ¼® µ¥ÀÌÅ͸¦ Ãß°¡ÇÔÀ¸·Î½á ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º¸¦ ÀçÁ¤ÀÇÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÅëÇÕÀ» ÅëÇØ ±â¾÷Àº Ç¥ÁØ µ¥ÀÌÅͼ¼Æ®¿¡¼­´Â µå·¯³ªÁö ¾Ê´Â °ø°£Àû °ü°è¿Í ÆÐÅÏÀ» ½Ã°¢È­ÇÏ¿© ¼Ò¸Å, ºÎµ¿»ê, ¹°·ù µîÀÇ ºÐ¾ß¿¡¼­ º¸´Ù Çö¸íÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖ°Ô µË´Ï´Ù. À§Ä¡ ºÐ¼®Àº Á¤È®ÇÑ Å¸±êÆÃ°ú À§Ä¡ °èȹ ¼ö¸³À» °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á ½ÃÀå Àü·«°ú ¿î¿µ È¿À²¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î ¼Ò¸Å üÀÎÀº Àα¸Åë°èÇÐÀû µ¥ÀÌÅÍ¿Í ¼ÒºñÀÚ Çൿ ÆÐÅÏ¿¡ µû¶ó ÃÖÀûÀÇ ¸ÅÀå ¹èÄ¡¸¦ °áÁ¤ÇÏ°í ¸ÅÀå ¹æ¹®ÀÚ ¼ö¿Í ¸ÅÃâÀ» ±Ø´ëÈ­Çϱâ À§ÇØ À§Ä¡ ºÐ¼®À» Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù.

¾î¶² ±â¼ú µ¿ÇâÀÌ À§Ä¡ ºÐ¼®À» °­È­Çϴ°¡?

IoT ±â±âÀÇ º¸±Þ, ¸ð¹ÙÀÏ ¿¬°áÀÇ È®´ë, GIS ¼ÒÇÁÆ®¿þ¾îÀÇ ÁøÈ­ µîÀÇ ±â¼ú µ¿ÇâÀº À§Ä¡ ºÐ¼®ÀÇ ±â´ÉÀ» ´õ¿í dzºÎÇÏ°Ô Çϰí ÀÖ½À´Ï´Ù. ½º¸¶Æ®Æù°ú IoT ±â±âÀÇ À§Ä¡ Á¤º¸ º¸±ÞÀº ½Ç½Ã°£À¸·Î ½Ç¿ëÀûÀÎ µ¥ÀÌÅ͸¦ Áö¼ÓÀûÀ¸·Î Á¦°øÇÕ´Ï´Ù. °í±Þ GIS ¹× °ø°£ µ¥ÀÌÅÍ ºÐ¼® ¼ÒÇÁÆ®¿þ¾î´Â ÀÌ·¯ÇÑ µ¥ÀÌÅÍ Ã³¸®¸¦ ´õ¿í Áö¿øÇÏ¿© ¼ÒºñÀÚ À̵¿, ÀÚ»ê ÃßÀû, °ø±Þ¸Á ¹°·ù¿¡ ´ëÇÑ ÀλçÀÌÆ®À» Á¦°øÇÏ¿© ¿ªµ¿ÀûÀÎ ÀÇ»ç°áÁ¤¿¡ ±ÍÁßÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù.

½Ç½Ã°£ µ¥ÀÌÅͰ¡ À§Ä¡ ºÐ¼®¿¡ ÇʼöÀûÀÎ ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

ÇöÀç¿Í °°ÀÌ ºü¸£°Ô º¯È­ÇÏ´Â ºñÁî´Ï½º ȯ°æ¿¡¼­ À§Ä¡ ºÐ¼®ÀÇ ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¿¡ ´ëÇÑ ¿ä±¸´Â ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ½Ç½Ã°£ ÀλçÀÌÆ®À» ÅëÇØ ±â¾÷Àº ½ÃÀå ȯ°æÀÇ º¯È­, ¼ÒºñÀÚ Çൿ, ¹°·ù °úÁ¦ µîÀÇ º¯È­¿¡ ½Å¼ÓÇÏ°Ô ´ëÀÀÇÒ ¼ö ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î ¹°·ù ±â¾÷Àº ½Ç½Ã°£ À§Ä¡ Á¤º¸¸¦ Ȱ¿ëÇØ ¹è¼Û °æ·Î¿Í ÀÏÁ¤À» ÃÖÀûÈ­ÇÏ¿© ºñ¿ëÀ» Àý°¨ÇÏ°í ¼­ºñ½º¸¦ °³¼±Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ±ä±Þ ´ëÀÀ ¹× °ø°ø¾ÈÀü ¾÷¹«¿¡¼­ ½Ç½Ã°£ µ¥ÀÌÅÍ´Â ÀÎ¸í ±¸Á¶¿¡ µµ¿òÀÌ µÇ¸ç, ÇöÀåÀÇ ¿ªµ¿ÀûÀÎ »óȲ¿¡ ½Å¼ÓÇÏ°Ô ´ëÀÀÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù.

À§Ä¡ ºÐ¼® ½ÃÀåÀÇ ¼ºÀå ¿øµ¿·ÂÀº ¹«¾ùÀΰ¡?

À§Ä¡ ºÐ¼® ½ÃÀåÀÇ ¼ºÀåÀº ºòµ¥ÀÌÅÍ¿¡¼­ ½ÇÇà °¡´ÉÇÑ ÀλçÀÌÆ®À» ¾òÀ¸·Á´Â ºñÁî´Ï½º ¿ä±¸ Áõ°¡, AI ¹× ¸Ó½Å·¯´×°ú À§Ä¡ ºÐ¼®ÀÇ ÅëÇÕÀ¸·Î ÀÎÇÑ µ¥ÀÌÅÍ ºÐ¼®ÀÇ º¯È­, ±â¾÷ÀÌ µ¿ÇâÀ» ¿¹ÃøÇϰí ÀÇ»ç°áÁ¤ °úÁ¤À» È¿À²ÀûÀ¸·Î ÀÚµ¿È­ÇÒ ¼ö ÀÖµµ·Ï µ½´Â AI¿Í ¸Ó½Å·¯´×ÀÇ ÅëÇÕ µî ¿©·¯ °¡Áö ¿äÀο¡ ±âÀÎÇϰí ÀÖ½À´Ï´Ù. ÀÚµ¿È­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¸ð¹ÙÀÏ ±â¼ú µµÀÔÀÇ ±ÞÁõ°ú À§Ä¡ ±â¹Ý ¼­ºñ½º Áõ°¡´Â ºÐ¼®¿¡ »ç¿ëÇÒ ¼ö ÀÖ´Â µ¥ÀÌÅÍÀÇ ¹üÀ§¸¦ È®´ëÇÏ´Â µ¥ ÀÖÀ¸¸ç, ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ¶ÇÇÑ º¸´Ù °³ÀÎÈ­µÈ ¸¶ÄÉÆÃ°ú °í°´ °æÇèÀ» °³¼±ÇÏ·Á´Â ¿òÁ÷ÀÓÀº Á¤±³ÇÑ À§Ä¡ ºÐ¼® ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä¸¦ Áö¼ÓÀûÀ¸·Î Áõ°¡½Ã۰í ÀÖ½À´Ï´Ù. ±â¾÷ÀÌ µ¥ÀÌÅͺ£À̽º Àü·«À» ÅëÇØ °æÀï·ÂÀ» °­È­Çϱâ À§ÇØ ³ë·ÂÇÏ´Â °¡¿îµ¥, À§Ä¡ ºÐ¼®Àº ±âÁ¸ µ¥ÀÌÅÍ ºÐ¼®À» º¸¿ÏÇÏ´Â Áö¿ªÀû ¸Æ¶ôÀ» Á¦°øÇÏ´Â µ¥ ÀÖÀ¸¸ç, ÇʼöÀûÀÎ ¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù.

ºÎ¹®

¼­ºñ½º Á¦°ø(¼Ö·ç¼Ç, ¼­ºñ½º), À§Ä¡ Æ÷Áö¼Å´×(¾ß¿Ü, ½Ç³»), ¹èÆ÷(Ŭ¶ó¿ìµå, ¿ÂÇÁ·¹¹Ì½º), ¿ëµµ(À§Çè °ü¸®, ¿ø°Ý ¸ð´ÏÅ͸µ, °í°´°æÇè°ü¸®, °ø±Þ¸Á °èȹ ¹× ÃÖÀûÈ­, ¿µ¾÷ ¹× ¸¶ÄÉÆÃ ÃÖÀûÈ­, ºñ»ó ´ëÀÀ °ü¸®, À§Ä¡ ¼±Åà ¹× ÃÖÀûÈ­, ±âŸ ¿ëµµ) ¼±Åà ¹× ÃÖÀûÈ­, ±âŸ ¿ëµµ)

Á¶»ç ´ë»ó ±â¾÷ÀÇ ¿¹(ÃÑ 46°Ç)

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå °³¿ä

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Location Analytics Market to Reach US$68.9 Billion by 2030

The global market for Location Analytics estimated at US$32.6 Billion in the year 2024, is expected to reach US$68.9 Billion by 2030, growing at a CAGR of 13.3% over the analysis period 2024-2030. Location Analytics Solutions, one of the segments analyzed in the report, is expected to record a 13.2% CAGR and reach US$44.7 Billion by the end of the analysis period. Growth in the Location Analytics Services segment is estimated at 13.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$9.0 Billion While China is Forecast to Grow at 12.6% CAGR

The Location Analytics market in the U.S. is estimated at US$9.0 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$10.6 Billion by the year 2030 trailing a CAGR of 12.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 11.5% and 11.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.6% CAGR.

Global Location Analytics Market - Key Trends & Drivers Summarized

How Is Location Analytics Revolutionizing Business Intelligence?

Location analytics is redefining business intelligence by adding geographical data into traditional data analysis frameworks. This integration allows businesses to visualize spatial relationships and patterns that are not apparent in standard data sets, facilitating more informed decision-making across sectors such as retail, real estate, and logistics. By enabling precise targeting and location planning, location analytics enhances market strategies and operational efficiencies. Retail chains, for example, use location analytics to determine optimal store placements based on demographic data and consumer behavior patterns, maximizing foot traffic and sales.

What Technological Trends Are Enhancing Location Analytics?

Technological trends such as the increased use of IoT devices, the expansion of mobile connectivity, and advancements in GIS software are all enriching the capabilities of location analytics. The proliferation of location data from smartphones and IoT devices provides a continuous stream of real-time, actionable data. Advanced GIS and spatial data analysis software further assist in processing this data to deliver insights on consumer movements, asset tracking, and supply chain logistics, making it invaluable for dynamic decision-making.

Why Is Real-Time Data Becoming Essential in Location Analytics?

The demand for real-time data processing in location analytics is critical in today's fast-paced business environment. Real-time insights allow companies to respond promptly to changes, be it shifting market conditions, consumer behaviors, or logistical challenges. For instance, logistics companies use real-time location data to optimize delivery routes and schedules, reducing costs and improving service delivery. Additionally, in emergency response and public safety operations, real-time data can be lifesaving, enabling quick reactions to dynamic situations on the ground.

What Drives the Growth of the Location Analytics Market?

The growth in the location analytics market is driven by several factors, including the increasing business need to derive actionable insights from big data. The integration of AI and machine learning with location analytics is transforming data interpretation, allowing businesses to predict trends and automate decision-making processes effectively. The surge in mobile technology adoption and the increase in location-based services are also pivotal, as they expand the scope of data available for analysis. Furthermore, the push towards more personalized marketing and enhanced customer experience continues to drive the demand for sophisticated location analytics solutions. As businesses strive to gain a competitive edge through data-driven strategies, location analytics becomes essential in providing the geographical context that complements traditional data analytics.

SCOPE OF STUDY:

The report analyzes the Location Analytics market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Offering (Solutions, Services); Location Positioning (Outdoor, Indoor); Deployment (Cloud, On-Premise); Application (Risk Management, Remote Monitoring, Customer Experience Management, Supply Chain Planning & Optimization, Sales & Marketing Optimization, Emergency Response Management, Location Selection & Optimization, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 46 Featured) -

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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