½ÃÀ庸°í¼­
»óǰÄÚµå
1635794

¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå : ¼¼°è »ê¾÷ ºÐ¼®, ±Ô¸ð, Á¡À¯À², ¼ºÀå, µ¿Çâ, ¿¹Ãø(2025-2032³â)

Retail Analytics Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2025 - 2032

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Persistence Market Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 237 Pages | ¹è¼Û¾È³» : 2-5ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Persistence Market Research´Â ÃÖ±Ù ¼¼°è ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡ ´ëÇÑ ÅëÂû·Â ÀÖ´Â º¸°í¼­¸¦ ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ Á¾ÇÕÀûÀÎ ¿¬±¸´Â ÁÖ¿ä ÃËÁø¿äÀÎ, µ¿Çâ, °úÁ¦, ÃËÁø¿äÀΰú °°Àº ½ÃÀå ¿ªÇÐÀ» öÀúÈ÷ ºÐ¼®ÇÏ¿© 2025³âºÎÅÍ 2032³â±îÁö ½ÃÀåÀÇ ¼ºÀå ±Ëµµ¿¡ ´ëÇÑ »ó¼¼ÇÑ Àü¸ÁÀ» Á¦°øÇÕ´Ï´Ù.

ÁÖ¿ä ÀλçÀÌÆ®

  • ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå ±Ô¸ð(2025³â) : 214¾ï ´Þ·¯(USD)
  • ½ÃÀå ±Ô¸ð ¿¹Ãø(±Ý¾× ±âÁØ, 2032³â) : 434¾ï ´Þ·¯
  • ¼¼°è ½ÃÀå ¼ºÀå·ü(CAGR, 2025-2032³â) : 10.60%

¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå : ºÐ¼® ¹üÀ§

¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º´Â ¼Ò¸Å¾÷ Àü¹Ý¿¡ °ÉÃÄ µ¥ÀÌÅÍ ±â¹Ý ÀÇ»ç°áÁ¤ÀÇ Ã¤ÅÃÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ±Þ¼ºÀåÇϰí ÀÖ´Â ºÐ¾ßÀÔ´Ï´Ù. ÀÌ ½ÃÀå¿¡¼­´Â ºòµ¥ÀÌÅÍ ºÐ¼®, ÀΰøÁö´É(AI), ¸Ó½Å·¯´×(ML) µî ÷´Ü ºÐ¼® ±â¼úÀ» »ç¿ëÇÏ¿© ¹æ´ëÇÑ ¾çÀÇ ¼ÒºñÀÚ µ¥ÀÌÅͷκÎÅÍ ÀλçÀÌÆ®¸¦ ¾ò½À´Ï´Ù. ¼Ò¸Å¾÷üµéÀº ÀÌ·¯ÇÑ ÀλçÀÌÆ®¸¦ Ȱ¿ëÇÏ¿© °í°´ °æÇèÀ» °³¼±Çϰí, ¾÷¹«¸¦ ÃÖÀûÈ­Çϸç, »ç¾÷ ¼ºÀåÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ½ÃÀåÀº ¿È´Ïä³Î ¸®Å×Àϸµ, °³ÀÎÈ­µÈ °í°´ °æÇè, °ø±Þ¸Á ÃÖÀûÈ­ µî »õ·Î¿î Æ®·»µå¿¡ µû¶ó ÁøÈ­Çϰí ÀÖ½À´Ï´Ù.

½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ:

¼¼°è ¸®Å×ÀÏ ºÐ¼® ½ÃÀåÀº ¿©·¯ ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖÀ¸¸ç, E-Commerce µµÀÔ Áõ°¡, ½Ç½Ã°£ ¼ÒºñÀÚ ÀλçÀÌÆ®¿¡ ´ëÇÑ ´ÏÁî, ¿È´Ïä³Î ¸®Å×ÀÏÀÇ ºÎ»ó µîÀÌ ÁÖ¿ä ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù. ¼Ò¸Å¾÷üµéÀº °í°´ ¼±È£µµ ÆÄ¾Ç, »óǰ ±¸»ö ÃÖÀûÈ­, °¡°Ý Àü·« °³¼±, Àç°í °ü¸® °­È­¸¦ À§ÇØ µ¥ÀÌÅÍ ºÐ¼®À» µµÀÔÇÏ´Â Ãß¼¼°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, °³ÀÎÈ­µÈ ¼îÇÎ °æÇè¿¡ ´ëÇÑ ¼ö¿ä´Â ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½ºÀÇ ¼ºÀåÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, µ¥ÀÌÅÍ ±â¹Ý °ø±Þ¸Á °ü¸®¸¦ ÅëÇÑ ¾÷¹« È¿À²¼º ¹× ºñ¿ë Àý°¨¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö¸é¼­ ½ÃÀå È®´ë¿¡ ¹ÚÂ÷¸¦ °¡Çϰí ÀÖ½À´Ï´Ù.

½ÃÀå ¾ïÁ¦¿äÀÎ:

¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀåÀº À¯¸ÁÇÑ ¼ºÀå Àü¸Á¿¡µµ ºÒ±¸ÇÏ°í ¸î °¡Áö µµÀü °úÁ¦¿¡ Á÷¸éÇØ ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¿¡ ´ëÇÑ ¿ì·Á¿Í °­·ÂÇÑ »çÀ̹ö º¸¾È ´ëÃ¥ÀÇ Çʿ伺Àº °í°´ Á¤º¸¸¦ º¸È£Çϱâ À§ÇØ ÇØ°áÇØ¾ß ÇÒ Áß¿äÇÑ °úÁ¦ÀÔ´Ï´Ù. ¶ÇÇÑ, ƯÈ÷ Áß¼Ò±Ô¸ðÀÇ ¼Ò¸Å¾÷üµéÀÇ °æ¿ì, °í±Þ ºÐ¼® ¼Ö·ç¼ÇÀÇ µµÀÔ ºñ¿ëÀÌ ³ô´Ù´Â Á¡µµ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ±â¼úÀÇ Ã¤ÅÃÀ» Á¦ÇÑÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ÀÌ·¯ÇÑ ±â¼úÀ» È¿°úÀûÀ¸·Î Ȱ¿ëÇÒ ¼ö ÀÖ´Â ¼÷·ÃµÈ Àü¹®°¡ È®º¸¿¡µµ °ÝÂ÷°¡ ÀÖ¾î ½ÃÀå ¼ºÀå¿¡ °É¸²µ¹ÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ±âȸ:

¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡´Â ±â¼ú ¹ßÀü°ú »õ·Î¿î Æ®·»µå°¡ °¡Á®´ÙÁÖ´Â ¸î °¡Áö ºñÁî´Ï½º ±âȸ°¡ ÀÖ½À´Ï´Ù. ÀΰøÁö´É(AI)°ú ¸Ó½Å·¯´×(ML)À» ¸®Å×ÀÏ ºÐ¼®¿¡ ÅëÇÕÇÔÀ¸·Î½á ¼Ò¸Å¾÷üµéÀº º¸´Ù Á¤È®ÇÑ ¿¹Ãø, ¼ÒºñÀÚ Çൿ¿¡ ´ëÇÑ ½ÉÃþÀûÀÎ ÀÌÇØ, ÇÁ·Î¼¼½º ÀÚµ¿È­¸¦ ÅëÇØ »õ·Î¿î ¼ºÀåÀÇ ±æÀ» ¿­ ¼ö ÀÖÀ» °ÍÀ¸·Î ±â´ëµË´Ï´Ù. ¶ÇÇÑ, ¿È´Ïä³Î ºñÁî´Ï½º ¸ðµ¨·Î ÀüȯÇÏ´Â ¼Ò¸Å¾÷ü°¡ ´Ã¾î³²¿¡ µû¶ó ¹°¸®Àû ¹× µðÁöÅÐ Á¢Á¡ ¸ðµÎ¿¡ °ÉÃÄ ÀλçÀÌÆ®¸¦ Á¦°øÇÒ ¼ö ÀÖ´Â ÅëÇÕ ºÐ¼® ¼Ö·ç¼ÇÀÇ Çʿ伺ÀÌ Å« ½ÃÀå ±âȸ¸¦ âÃâÇϰí ÀÖ½À´Ï´Ù. °ø±Þ¸Á °ü¸®¿Í ¼ö¿ä ¿¹ÃøÀ» °­È­Çϱâ À§ÇÑ ¿¹Ãø ºÐ¼®ÀÇ È°¿ëÀÌ È®´ëµÇ°í ÀÖ´Â °Íµµ Çõ½Å°ú ½ÃÀå È®´ëÀÇ ¹®À» ¿­¾îÁÖ°í ÀÖ½À´Ï´Ù.

º» º¸°í¼­¿¡¼­ ´äº¯ÇÏ´Â ÁÖ¿ä Áú¹®

  • ¼¼°è ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ ¼ºÀåÀ» À̲ô´Â ÁÖ¿ä ¿äÀÎÀº ¹«¾ùÀΰ¡?
  • ÀΰøÁö´É°ú ¸Ó½Å·¯´×ÀÇ ¹ßÀüÀº ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½ºÀÇ ±â´ÉÀ» ¾î¶»°Ô Çâ»ó½Ãų ¼ö ÀÖÀ»±î?
  • °í°´ °æÇè ÃÖÀûÈ­ ¹× °ø±Þ¸Á °ü¸®¿¡¼­ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½ºÀÇ ÁÖ¿ä ¿ëµµ´Â ¹«¾ùÀΰ¡?
  • µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× »çÀ̹ö º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ ¸®Å×ÀÏ ºÐ¼® ¼Ö·ç¼Ç µµÀÔ¿¡ ¾î¶² ¿µÇâÀ» ¹ÌÄ¡°í Àִ°¡?
  • ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷µéÀÌ Ã¤ÅÃÇϰí ÀÖ´Â °æÀï Àü·«Àº ¹«¾ùÀΰ¡?

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ½ÃÀå °³¿ä

  • ½ÃÀå ¹üÀ§¿Í Á¤ÀÇ
  • ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀÎ
    • ¼ºÀå ¾ïÁ¦¿äÀÎ
    • ±âȸ
    • °úÁ¦
    • ÁÖ¿ä µ¿Çâ
  • ¼Ö·ç¼Ç ¼ö¸íÁֱ⠺м®
  • ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå : ¹ë·ùüÀÎ
    • ¿øÀÚÀç °ø±Þ¾÷ü ¸®½ºÆ®
    • Á¦Á¶¾÷ü ¸®½ºÆ®
    • ÆÇ¸Å´ë¸®Á¡ ¸®½ºÆ®
    • ¿ëµµ ¸®½ºÆ®
    • ¼öÀͼº ºÐ¼®
  • Porter¡¯s Five Forces ºÐ¼®
  • ÁöÁ¤ÇÐÀû ±äÀå : ½ÃÀå¿¡ ´ëÇÑ ¿µÇâ
  • °Å½Ã°æÁ¦ ¿äÀÎ
    • ¼¼°èÀÇ ºÎ¹®º° Àü¸Á
    • ¼¼°èÀÇ GDP ¼ºÀå Àü¸Á
    • ¼¼°èÀÇ »óºÎ ½ÃÀå °³¿ä
  • ¿¹Ãø¿äÀÎ : °ü·Ã¼º°ú ¿µÇâ
  • ±ÔÁ¦¿Í Àü°³ ¹æ½Ä »óȲ

Á¦3Àå ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

  • ÁÖ¿ä ÇÏÀ̶óÀÌÆ®
    • ½ÃÀå ±Ô¸ð ¿¹Ãø(¼ö·® ±âÁØ)
    • ½ÃÀå ±Ô¸ð¿Í Àü³âºñ ¼ºÀå·ü
    • Àý´ëÀû ¼öÀÍ ±âȸ
  • ½ÃÀå ±Ô¸ð ºÐ¼®°ú ¿¹Ãø(±Ý¾× ±âÁØ(10¾ï ´Þ·¯))
    • °ú°Å ½ÃÀå ±Ô¸ð ºÐ¼®(2019-2023³â)
    • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø(2025-2032³â)
  • ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : ¼Ö·ç¼Çº°
    • ¼Ò°³/ÁÖ¿ä Á¶»ç °á°ú
    • °ú°Å ½ÃÀå ±Ô¸ð ½ÇÀû : ¼Ö·ç¼Çº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2019-2023³â)
    • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø : ¼Ö·ç¼Çº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2025-2032³â)
      • ¼ÒÇÁÆ®¿þ¾î
      • ±â¾÷ ±Ô¸ð
        • Æ®·¹ÀÌ´×°ú ÄÁ¼³ÆÃ
        • ÅëÇÕ°ú Àü°³
        • °ü¸® ´ë»ó ±â¾÷ ±Ô¸ð
  • ½ÃÀå ¸Å·Â ºÐ¼® : ¼Ö·ç¼Çº°
  • ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : Àü°³ ¹æ½Äº°
    • ¼Ò°³/ÁÖ¿ä Á¶»ç °á°ú
    • °ú°Å ½ÃÀå ±Ô¸ð ½ÇÀû : Àü°³ ¹æ½Äº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2019-2023³â)
    • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø : Àü°³ ¹æ½Äº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2025-2032³â)
      • ¿ÂÇÁ·¹¹Ì½º
      • Ŭ¶ó¿ìµå ±â¹Ý
  • ½ÃÀå ¸Å·Â ºÐ¼® : Àü°³ ¹æ½Äº°
  • ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : ±â¾÷ ±Ô¸ðº°
    • ¼Ò°³/ÁÖ¿ä Á¶»ç °á°ú
    • °ú°Å ½ÃÀå ±Ô¸ð ½ÇÀû : ±â¾÷ ±Ô¸ðº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2019-2023³â)
    • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø : ±â¾÷ ±Ô¸ðº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2025-2032³â)
      • ¼Ò±Ô¸ð ¿ÀÇǽº(Á÷¿ø 1-9¸í)
      • ¼Ò±Ô¸ð ±â¾÷(Á÷¿ø 10-99¸í)
      • Áß±Ô¸ð ±â¾÷(Á÷¿ø¼ö 100-499¸í)
      • ´ë±â¾÷(Á÷¿ø¼ö 500-999¸í)
      • °Å´ë ±â¾÷(Á÷¿ø 1,000¸í ÀÌ»ó)
  • ½ÃÀå ¸Å·Â ºÐ¼® : ±â¾÷ ±Ô¸ðº°
  • ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : ±â´Éº°
    • ¼Ò°³/ÁÖ¿ä Á¶»ç °á°ú
    • °ú°Å ½ÃÀå ±Ô¸ð ½ÇÀû : ±â´Éº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2019-2023³â)
    • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø : ±â´Éº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2025-2032³â)
      • °í°´ °ü¸®
      • ¸Óõ´ÙÀÌ¡
      • Á¡Æ÷ ¿î¿µ
      • °ø±Þ¸Á
      • Àü·«¡¤°èȹ
  • ½ÃÀå ¸Å·Â ºÐ¼® : ±â´Éº°

Á¦4Àå ¼¼°èÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : Áö¿ªº°

  • ÁÖ¿ä ÇÏÀ̶óÀÌÆ®
  • °ú°Å ½ÃÀå ±Ô¸ð ºÐ¼® : Áö¿ªº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2019-2023³â)
  • ÇöÀç ½ÃÀå ±Ô¸ð ¿¹Ãø : Áö¿ªº°(±Ý¾×(10¾ï ´Þ·¯)¡¤¼ö·® ±âÁØ, 2025-2032³â)
    • ºÏ¹Ì
    • À¯·´
    • µ¿¾Æ½Ã¾Æ
    • ³²¾Æ½Ã¾Æ ¹× ¿À¼¼¾Æ´Ï¾Æ
    • ¶óƾ¾Æ¸Þ¸®Ä«
    • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
  • ½ÃÀå ¸Å·Â ºÐ¼® : Áö¿ªº°

Á¦5Àå ºÏ¹ÌÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦6Àå À¯·´ÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦7Àå µ¿¾Æ½Ã¾ÆÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦8Àå ³²¾Æ½Ã¾Æ ¹× ¿À¼¼¾Æ´Ï¾ÆÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦9Àå ¶óÆ¾¾Æ¸Þ¸®Ä«ÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦10Àå Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ ¸®Å×ÀÏ ¾Ö³Î¸®Æ½½º ½ÃÀå Àü¸Á : °ú°Å(2019-2023³â)¿Í ¿¹Ãø(2025-2032³â)

Á¦11Àå °æÀï ±¸µµ

  • ½ÃÀå Á¡À¯À² ºÐ¼®(2024³â)
  • ½ÃÀå ±¸Á¶
    • °æÀï °­µµ ¸ÅÇÎ : ½ÃÀ庰
    • °æÀï ´ë½Ãº¸µå
    • Á¦Ç° »ý»ê´É·Â(°Ñº¸±â °ª)
  • ±â¾÷ °³¿ä(»ó¼¼ : °³¿ä, À繫, Àü·«, ÃÖ±Ù µ¿Çâ)
    • Microsoft
    • IBM
    • AWS
    • Oracle
    • Salesforce
    • Qlik
    • HCL
    • Fujitsu
    • Oracle
    • SAS Institute

Á¦12Àå ºÎ·Ï

  • ºÐ¼® ¹æ¹ý
  • ºÐ¼® °¡Á¤
  • µÎ¹®ÀÚ¾î¿Í ¾à¾î
ksm 25.02.07

Persistence Market Research has recently published an insightful report on the global Retail Analytics Market. This comprehensive study provides a thorough analysis of the market dynamics, including key drivers, trends, challenges, and opportunities, offering a detailed outlook on the growth trajectory of the market from 2025 to 2032.

Key Insights:

  • Retail Analytics Market Size (2025E): USD 21.4 Billion
  • Projected Market Value (2032F): USD 43.4 Billion
  • Global Market Growth Rate (CAGR 2025 to 2032): 10.60%

Retail Analytics Market - Report Scope:

Retail analytics is a rapidly growing sector driven by the increased adoption of data-driven decision-making across retail operations. This market involves the use of advanced analytics techniques, such as big data analytics, artificial intelligence (AI), and machine learning (ML), to gain insights from vast amounts of consumer data. Retailers use these insights to enhance customer experiences, optimize operations, and drive business growth. The market is evolving to accommodate emerging trends, such as omnichannel retailing, personalized customer experiences, and supply chain optimization.

Market Growth Drivers:

The global retail analytics market is driven by a multitude of factors. Increasing e-commerce adoption, the need for real-time consumer insights, and the rise of omnichannel retailing are major factors propelling the market. Retailers are increasingly adopting data analytics to understand customer preferences, optimize product assortment, improve pricing strategies, and enhance inventory management. Additionally, the demand for personalized shopping experiences is driving the growth of retail analytics, as retailers seek to tailor offers and marketing efforts based on data insights. Furthermore, the growing focus on operational efficiency and reducing costs through data-driven supply chain management is further fueling market expansion.

Market Restraints:

Despite its promising growth prospects, the retail analytics market faces several challenges. Data privacy concerns and the need for robust cybersecurity measures are significant issues that need to be addressed to protect customer information. The high cost of implementing advanced analytics solutions, especially for small and medium-sized retailers, may also limit the adoption of retail analytics technologies. Furthermore, there is a gap in the availability of skilled professionals who can leverage these technologies effectively, which could potentially hinder market growth.

Market Opportunities:

There are several opportunities within the retail analytics market driven by technological advancements and emerging trends. The integration of artificial intelligence (AI) and machine learning (ML) with retail analytics is expected to unlock new growth avenues, allowing retailers to make more accurate forecasts, better understand consumer behavior, and automate processes. Additionally, as more retailers shift to omnichannel business models, the need for integrated analytics solutions that can offer insights across both physical and digital touchpoints presents a significant market opportunity. The growing use of predictive analytics to enhance supply chain management and demand forecasting also opens doors for innovation and market expansion.

Key Questions Answered in the Report:

  • What are the key factors driving the growth of the retail analytics market globally?
  • How do advancements in artificial intelligence and machine learning enhance retail analytics capabilities?
  • What are the primary applications of retail analytics in customer experience optimization and supply chain management?
  • How do data privacy and cybersecurity concerns impact the adoption of retail analytics solutions?
  • What are the competitive strategies employed by leading players in the retail analytics market?

Competitive Intelligence and Business Strategy:

Leading players in the global retail analytics market, such as SAS Institute, IBM, Oracle, and SAP, are investing heavily in technological advancements, strategic acquisitions, and partnerships to maintain their competitive positions. These companies are focused on offering comprehensive, scalable analytics solutions that integrate seamlessly with retailers' existing operations. Moreover, many of these companies are expanding their presence in emerging markets, where there is a growing demand for data-driven insights to optimize retail operations. By embracing AI, machine learning, and predictive analytics, these market leaders are positioning themselves to capitalize on the growing demand for advanced retail analytics solutions.

Key Companies Profiled:

  • Microsoft
  • IBM
  • AWS
  • Oracle
  • Salesforce
  • Qlik
  • HCL
  • Fujitsu
  • Oracle
  • SAS Institute

Retail Analytics Market Research Segmentation

By Solution:

  • Software
  • Services

By Deployment Mode:

  • On-Premise
  • Cloud-Based

By Enterprise Size:

  • Small Offices (1-9 employees)
  • Small Enterprises (10-99 employees)
  • Medium-sized Enterprise (100-499 employees)
  • Large Enterprises (500-999 employees)
  • Very Large Enterprises (1,000+ employees)

By Function:

  • Customer Management
  • Merchandising
  • Store Operations
  • Supply Chain
  • Strategy & Planning

By Region:

  • North America
  • Europe
  • East Asia
  • South Asia & Oceania
  • Latin America
  • Middle East & Africa

Table of Contents

1. Executive Summary

  • 1.1. Global Retail Analytics Market Snapshot, 2025 - 2032
  • 1.2. Market Opportunity Assessment, 2025 - 2032, US$ Bn
  • 1.3. Key Market Trends
  • 1.4. Future Market Projections
  • 1.5. Premium Market Insights
  • 1.6. Industry Developments and Key Market Events
  • 1.7. PMR Analysis and Recommendations

2. Market Overview

  • 2.1. Market Scope and Definition
  • 2.2. Market Dynamics
    • 2.2.1. Drivers
    • 2.2.2. Restraints
    • 2.2.3. Opportunity
    • 2.2.4. Challenges
    • 2.2.5. Key Trends
  • 2.3. Solution Lifecycle Analysis
  • 2.4. Retail Analytics Market: Value Chain
    • 2.4.1. List of Raw Material Supplier
    • 2.4.2. List of Manufacturers
    • 2.4.3. List of Distributors
    • 2.4.4. List of Applications
    • 2.4.5. Profitability Analysis
  • 2.5. Porter Five Force's Analysis
  • 2.6. Geopolitical Tensions: Market Impact
  • 2.7. Macro-Economic Factors
    • 2.7.1. Global Sectorial Outlook
    • 2.7.2. Global GDP Growth Outlook
    • 2.7.3. Global Parent Market Overview
  • 2.8. Forecast Factors - Relevance and Impact
  • 2.9. Regulatory and Deployment Mode Landscape

3. Global Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 3.1. Key Highlights
    • 3.1.1. Market Volume (Units) Projections
    • 3.1.2. Market Size and Y-o-Y Growth
    • 3.1.3. Absolute $ Opportunity
  • 3.2. Market Size (US$ Bn) Analysis and Forecast
    • 3.2.1. Historical Market Size Analysis, 2019 - 2023
    • 3.2.2. Current Market Size Forecast, 2025 - 2032
  • 3.3. Global Retail Analytics Market Outlook: Solution
    • 3.3.1. Introduction / Key Findings
    • 3.3.2. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Solution, 2019 - 2023
    • 3.3.3. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
      • 3.3.3.1. Software
      • 3.3.3.2. Enterprise Sizes
        • 3.3.3.2.1. Training & Consulting
        • 3.3.3.2.2. Integration & Deployment
        • 3.3.3.2.3. Managed Enterprise Sizes
  • 3.4. Market Attractiveness Analysis: Solution
  • 3.5. Global Retail Analytics Market Outlook: Deployment Mode
    • 3.5.1. Introduction / Key Findings
    • 3.5.2. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Deployment Mode, 2019 - 2023
    • 3.5.3. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
      • 3.5.3.1. On-Premise
      • 3.5.3.2. Cloud-Based
  • 3.6. Market Attractiveness Analysis: Deployment Mode
  • 3.7. Global Retail Analytics Market Outlook: Enterprise Size
    • 3.7.1. Introduction / Key Findings
    • 3.7.2. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Enterprise Size, 2019 - 2023
    • 3.7.3. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
      • 3.7.3.1. Small Offices (1-9 employees)
      • 3.7.3.2. Small Enterprises (10-99 employees)
      • 3.7.3.3. Medium-sized Enterprise (100-499 employees)
      • 3.7.3.4. Large Enterprises (500-999 employees)
      • 3.7.3.5. Very Large Enterprises (1,000+ employees)
  • 3.8. Market Attractiveness Analysis: Enterprise Size
  • 3.9. Global Retail Analytics Market Outlook: Function
    • 3.9.1. Introduction / Key Findings
    • 3.9.2. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Function, 2019 - 2023
    • 3.9.3. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
      • 3.9.3.1. Customer Management
      • 3.9.3.2. Merchandising
      • 3.9.3.3. Store Operations
      • 3.9.3.4. Supply Chain
      • 3.9.3.5. Strategy & Planning
  • 3.10. Market Attractiveness Analysis: Function

4. Global Retail Analytics Market Outlook: Region

  • 4.1. Key Highlights
  • 4.2. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Region, 2019 - 2023
  • 4.3. Current Market Size (US$ Bn) and Volume (Units) Forecast By Region, 2025 - 2032
    • 4.3.1. North America
    • 4.3.2. Europe
    • 4.3.3. East Asia
    • 4.3.4. South Asia and Oceania
    • 4.3.5. Latin America
    • 4.3.6. Middle East & Africa (MEA)
  • 4.4. Market Attractiveness Analysis: Region

5. North America Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 5.1. Key Highlights
  • 5.2. Pricing Analysis
  • 5.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 5.3.1. By Country
    • 5.3.2. By Solution
    • 5.3.3. By Deployment Mode
    • 5.3.4. By Enterprise Size
    • 5.3.5. By Function
  • 5.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 5.4.1. U.S.
    • 5.4.2. Canada
  • 5.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 5.5.1. Software
    • 5.5.2. Services
      • 5.5.2.1. Training & Consulting
      • 5.5.2.2. Integration & Deployment
      • 5.5.2.3. Managed Services
  • 5.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 5.6.1. On-Premise
    • 5.6.2. Cloud-Based
  • 5.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 5.7.1. Small Offices (1-9 employees)
    • 5.7.2. Small Enterprises (10-99 employees)
    • 5.7.3. Medium-sized Enterprise (100-499 employees)
    • 5.7.4. Large Enterprises (500-999 employees)
    • 5.7.5. Very Large Enterprises (1,000+ employees)
  • 5.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 5.8.1. Customer Management
    • 5.8.2. Merchandising
    • 5.8.3. Store Operations
    • 5.8.4. Supply Chain
    • 5.8.5. Strategy & Planning
  • 5.9. Market Attractiveness Analysis

6. Europe Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 6.1. Key Highlights
  • 6.2. Pricing Analysis
  • 6.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 6.3.1. By Country
    • 6.3.2. By Solution
    • 6.3.3. By Deployment Mode
    • 6.3.4. By Enterprise Size
    • 6.3.5. By Function
  • 6.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 6.4.1. Germany
    • 6.4.2. France
    • 6.4.3. U.K.
    • 6.4.4. Italy
    • 6.4.5. Spain
    • 6.4.6. Russia
    • 6.4.7. Turkey
    • 6.4.8. Rest of Europe
  • 6.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 6.5.1. Software
    • 6.5.2. Services
      • 6.5.2.1. Training & Consulting
      • 6.5.2.2. Integration & Deployment
      • 6.5.2.3. Managed Services
  • 6.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 6.6.1. On-Premise
    • 6.6.2. Cloud-Based
  • 6.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 6.7.1. Small Offices (1-9 employees)
    • 6.7.2. Small Enterprises (10-99 employees)
    • 6.7.3. Medium-sized Enterprise (100-499 employees)
    • 6.7.4. Large Enterprises (500-999 employees)
    • 6.7.5. Very Large Enterprises (1,000+ employees)
  • 6.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 6.8.1. Customer Management
    • 6.8.2. Merchandising
    • 6.8.3. Store Operations
    • 6.8.4. Supply Chain
    • 6.8.5. Strategy & Planning
  • 6.9. Market Attractiveness Analysis

7. East Asia Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 7.1. Key Highlights
  • 7.2. Pricing Analysis
  • 7.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 7.3.1. By Country
    • 7.3.2. By Solution
    • 7.3.3. By Deployment Mode
    • 7.3.4. By Enterprise Size
    • 7.3.5. By Function
  • 7.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 7.4.1. China
    • 7.4.2. Japan
    • 7.4.3. South Korea
  • 7.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 7.5.1. Software
    • 7.5.2. Services
      • 7.5.2.1. Training & Consulting
      • 7.5.2.2. Integration & Deployment
      • 7.5.2.3. Managed Services
  • 7.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 7.6.1. On-Premise
    • 7.6.2. Cloud-Based
  • 7.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 7.7.1. Small Offices (1-9 employees)
    • 7.7.2. Small Enterprises (10-99 employees)
    • 7.7.3. Medium-sized Enterprise (100-499 employees)
    • 7.7.4. Large Enterprises (500-999 employees)
    • 7.7.5. Very Large Enterprises (1,000+ employees)
  • 7.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 7.8.1. Customer Management
    • 7.8.2. Merchandising
    • 7.8.3. Store Operations
    • 7.8.4. Supply Chain
    • 7.8.5. Strategy & Planning
  • 7.9. Market Attractiveness Analysis

8. South Asia & Oceania Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 8.1. Key Highlights
  • 8.2. Pricing Analysis
  • 8.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 8.3.1. By Country
    • 8.3.2. By Solution
    • 8.3.3. By Deployment Mode
    • 8.3.4. By Enterprise Size
    • 8.3.5. By Function
  • 8.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 8.4.1. India
    • 8.4.2. Southeast Asia
    • 8.4.3. ANZ
    • 8.4.4. Rest of South Asia & Oceania
  • 8.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 8.5.1. Software
    • 8.5.2. Services
      • 8.5.2.1. Training & Consulting
      • 8.5.2.2. Integration & Deployment
      • 8.5.2.3. Managed Services
  • 8.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 8.6.1. On-Premise
    • 8.6.2. Cloud-Based
  • 8.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 8.7.1. Small Offices (1-9 employees)
    • 8.7.2. Small Enterprises (10-99 employees)
    • 8.7.3. Medium-sized Enterprise (100-499 employees)
    • 8.7.4. Large Enterprises (500-999 employees)
    • 8.7.5. Very Large Enterprises (1,000+ employees)
  • 8.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 8.8.1. Customer Management
    • 8.8.2. Merchandising
    • 8.8.3. Store Operations
    • 8.8.4. Supply Chain
    • 8.8.5. Strategy & Planning
  • 8.9. Market Attractiveness Analysis

9. Latin America Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 9.1. Key Highlights
  • 9.2. Pricing Analysis
  • 9.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 9.3.1. By Country
    • 9.3.2. By Solution
    • 9.3.3. By Deployment Mode
    • 9.3.4. By Enterprise Size
    • 9.3.5. By Function
  • 9.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 9.4.1. Brazil
    • 9.4.2. Mexico
    • 9.4.3. Rest of Latin America
  • 9.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 9.5.1. Software
    • 9.5.2. Services
      • 9.5.2.1. Training & Consulting
      • 9.5.2.2. Integration & Deployment
      • 9.5.2.3. Managed Services
  • 9.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 9.6.1. On-Premise
    • 9.6.2. Cloud-Based
  • 9.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 9.7.1. Small Offices (1-9 employees)
    • 9.7.2. Small Enterprises (10-99 employees)
    • 9.7.3. Medium-sized Enterprise (100-499 employees)
    • 9.7.4. Large Enterprises (500-999 employees)
    • 9.7.5. Very Large Enterprises (1,000+ employees)
  • 9.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 9.8.1. Customer Management
    • 9.8.2. Merchandising
    • 9.8.3. Store Operations
    • 9.8.4. Supply Chain
    • 9.8.5. Strategy & Planning
  • 9.9. Market Attractiveness Analysis

10. Middle East & Africa Retail Analytics Market Outlook: Historical (2019 - 2023) and Forecast (2025 - 2032)

  • 10.1. Key Highlights
  • 10.2. Pricing Analysis
  • 10.3. Historical Market Size (US$ Bn) and Volume (Units) Analysis By Market, 2019 - 2023
    • 10.3.1. By Country
    • 10.3.2. By Solution
    • 10.3.3. By Deployment Mode
    • 10.3.4. By Enterprise Size
    • 10.3.5. By Function
  • 10.4. Current Market Size (US$ Bn) and Volume (Units) Forecast By Country, 2025 - 2032
    • 10.4.1. GCC
    • 10.4.2. Egypt
    • 10.4.3. South Africa
    • 10.4.4. Northern Africa
    • 10.4.5. Rest of Middle East & Africa
  • 10.5. Current Market Size (US$ Bn) and Volume (Units) Forecast By Solution, 2025 - 2032
    • 10.5.1. Software
    • 10.5.2. Services
      • 10.5.2.1. Training & Consulting
      • 10.5.2.2. Integration & Deployment
      • 10.5.2.3. Managed Services
  • 10.6. Current Market Size (US$ Bn) and Volume (Units) Forecast By Deployment Mode, 2025 - 2032
    • 10.6.1. On-Premise
    • 10.6.2. Cloud-Based
  • 10.7. Current Market Size (US$ Bn) and Volume (Units) Forecast By Enterprise Size, 2025 - 2032
    • 10.7.1. Small Offices (1-9 employees)
    • 10.7.2. Small Enterprises (10-99 employees)
    • 10.7.3. Medium-sized Enterprise (100-499 employees)
    • 10.7.4. Large Enterprises (500-999 employees)
    • 10.7.5. Very Large Enterprises (1,000+ employees)
  • 10.8. Current Market Size (US$ Bn) and Volume (Units) Forecast By Function, 2025 - 2032
    • 10.8.1. Customer Management
    • 10.8.2. Merchandising
    • 10.8.3. Store Operations
    • 10.8.4. Supply Chain
    • 10.8.5. Strategy & Planning
  • 10.9. Market Attractiveness Analysis

11. Competition Landscape

  • 11.1. Market Share Analysis, 2024
  • 11.2. Market Structure
    • 11.2.1. Competition Intensity Mapping By Market
    • 11.2.2. Competition Dashboard
    • 11.2.3. Apparent Product Capacity
  • 11.3. Company Profiles (Details - Overview, Financials, Strategy, Recent Developments)
    • 11.3.1. Microsoft
      • 11.3.1.1. Overview
      • 11.3.1.2. Segments and Product
      • 11.3.1.3. Key Financials
      • 11.3.1.4. Market Developments
      • 11.3.1.5. Market Strategy
    • 11.3.2. IBM
      • 11.3.2.1. Overview
      • 11.3.2.2. Segments and Product
      • 11.3.2.3. Key Financials
      • 11.3.2.4. Market Developments
      • 11.3.2.5. Market Strategy
    • 11.3.3. AWS
      • 11.3.3.1. Overview
      • 11.3.3.2. Segments and Product
      • 11.3.3.3. Key Financials
      • 11.3.3.4. Market Developments
      • 11.3.3.5. Market Strategy
    • 11.3.4. Oracle
      • 11.3.4.1. Overview
      • 11.3.4.2. Segments and Product
      • 11.3.4.3. Key Financials
      • 11.3.4.4. Market Developments
      • 11.3.4.5. Market Strategy
    • 11.3.5. Salesforce
      • 11.3.5.1. Overview
      • 11.3.5.2. Segments and Product
      • 11.3.5.3. Key Financials
      • 11.3.5.4. Market Developments
      • 11.3.5.5. Market Strategy
    • 11.3.6. Qlik
      • 11.3.6.1. Overview
      • 11.3.6.2. Segments and Product
      • 11.3.6.3. Key Financials
      • 11.3.6.4. Market Developments
      • 11.3.6.5. Market Strategy
    • 11.3.7. HCL
      • 11.3.7.1. Overview
      • 11.3.7.2. Segments and Product
      • 11.3.7.3. Key Financials
      • 11.3.7.4. Market Developments
      • 11.3.7.5. Market Strategy
    • 11.3.8. Fujitsu
      • 11.3.8.1. Overview
      • 11.3.8.2. Segments and Product
      • 11.3.8.3. Key Financials
      • 11.3.8.4. Market Developments
      • 11.3.8.5. Market Strategy
    • 11.3.9. Oracle
      • 11.3.9.1. Overview
      • 11.3.9.2. Segments and Product
      • 11.3.9.3. Key Financials
      • 11.3.9.4. Market Developments
      • 11.3.9.5. Market Strategy
    • 11.3.10. SAS Institute
      • 11.3.10.1. Overview
      • 11.3.10.2. Segments and Product
      • 11.3.10.3. Key Financials
      • 11.3.10.4. Market Developments
      • 11.3.10.5. Market Strategy

12. Appendix

  • 12.1. Research Methodology
  • 12.2. Research Assumptions
  • 12.3. Acronyms and Abbreviations
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦