½ÃÀ庸°í¼­
»óǰÄÚµå
1339109

µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Á¡À¯À², ±Ô¸ð, µ¿Çâ, »ê¾÷ ºÐ¼® º¸°í¼­ : ½ºÆ®¸² À¯Çüº°, ¹èÆ÷ ¸ðµåº°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº°, ºÎ¹®º° ¿¹Ãø(2023-2032³â)

City Data Platform Market Share, Size, Trends, Industry Analysis Report, By Stream Type (Demand-Side Stream, Supply-Side Stream, Analytical Stream, and Standardization Stream); By Deployment Mode; By End-User; By Region; Segment Forecast, 2023 - 2032

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Polaris Market Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 119 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿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.

Polaris Market ResearchÀÇ ÃֽŠÁ¶»ç¿¡ µû¸£¸é, ¼¼°è µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå ±Ô¸ð´Â 2032³â±îÁö 3,137¾ï 8,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ Á¶»ç º¸°í¼­´Â ÇöÀç ½ÃÀå ¿ªÇп¡ ´ëÇÑ ÀÚ¼¼ÇÑ ÅëÂû·Â°ú ¹Ì·¡ ½ÃÀå ¼ºÀå¿¡ ´ëÇÑ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀåÀ» ÁÖµµÇÏ´Â ÁÖ¿ä ¿äÀÎ Áß Çϳª´Â °ü·Ã Áö¹æ Á¤ºÎ ¹× ´ç±¹ÀÇ ½º¸¶Æ®½ÃƼ ±¸Ãà ´É·ÂÀÔ´Ï´Ù. Á¤ºÎ´Â ½º¸¶Æ® ¼­ºñ½º¸¦ ÀÎÇÁ¶óÀÇ Áß¿äÇÑ ±¸¼º ¿ä¼Ò·Î ±¸ÇöÇϱâ À§ÇÑ ´Ù¾çÇÑ Á¤Ã¥°ú Ȱµ¿À» ÅëÇØ ½º¸¶Æ® ½ÃƼ ºÐ¾ß¿¡¼­ Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù.

¹Ì±¹ Á¤ºÎ´Â 25°³ ÀÌ»óÀÇ Ãֽбâ¼ú Çù·Â°ú 1¾ï 6,000¸¸ ´Þ·¯ ÀÌ»óÀÇ ¿¬¹æ ¿¬±¸ ÀÚ±ÝÀ» Ȱ¿ëÇÏ¿© ±³Åë üÁõ ¿ÏÈ­, ¹üÁË ¹æÁö, °æÁ¦ ¼ºÀå ÃËÁø, ±âÈÄ º¯È­ ¿µÇâ ´ëÀÀ, µµ½Ã ¼­ºñ½º °­È­ µî ½Ã±ÞÇÑ ¹®Á¦¸¦ ÇØ°áÇÏ´Â Áö¿ª»çȸ¸¦ Áö¿øÇÏ´Â »õ·Î¿î '½º¸¶Æ® ½ÃƼ' ±¸»óÀ» ¹ßÇ¥Çß½À´Ï´Ù. Çϰí ÀÖ½À´Ï´Ù. ÀÌ´Â ¿¹Ãø ±â°£ µ¿¾È µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå È®´ë¸¦ ÃËÁøÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ»ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

À̿ʹ º°µµ·Î ±¹Åä¾Èº¸ºÎ(DHS)´Â ½º¸¶Æ®½ÃƼ¸¦ À§ÇÑ Ã·´Ü ºñ»ó ´ëÀÀ ±â¼ú °³¹ßÀ» À§ÇØ ¿¹Ãø ±â°£ µ¿¾È 5,000¸¸ ´Þ·¯¸¦ ÁöÃâÇÒ ÀÇÇâÀ» ¹àÇû½À´Ï´Ù. ¶ÇÇÑ, ¿¡³ÊÁöºÎ(DOE)´Â ½º¸¶Æ®½ÃƼ ±â¼úÀ» Ȱ¿ëÇÑ ½º¸¶Æ®ÇÏ°í ¿¡³ÊÁö È¿À²ÀûÀ̸ç Àú¹èÃâ µµ½Ã °Ç¼³¿¡ ´ëÇÑ Áö¿øÀ» °­È­Çϱâ À§ÇØ ¾à 1,000¸¸ ´Þ·¯¸¦ ÁöÃâÇÒ ¿¹Á¤ÀÔ´Ï´Ù. ÀÌ¿¡ µû¶ó Á¤ºÎ´Â ÀÌ Áö¿ªÀ» Àúź¼Ò ¹Ì·¡·Î À̲ø±â À§ÇØ È¿°úÀûÀÎ ¸ðµ¨°ú ¹æ¹ýÀ» Ȱ¿ëÇÑ ¿¡³ÊÁö ºÐ¹è¿¡ ÃÊÁ¡À» ¸ÂÃß°í ÀÖÀ¸¸ç, È¿À²ÀûÀÎ ½º¸¶Æ®½ÃƼ °ü¸® ¼Ö·ç¼ÇÀÇ Çʿ伺À» °­Á¶Çϰí ÀÖ½À´Ï´Ù. ÀÌ¿¡ µû¶ó µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀåÀÌ ºü¸£°Ô ¼ºÀåÇϰí ÀÖ½À´Ï´Ù.

¶ÇÇÑ Áß±¹, Çѱ¹, µÎ¹ÙÀÌ, Àεµ, ½Ì°¡Æ÷¸£, ÀϺ» µî ½ÅÈï °æÁ¦±¹ Á¤ºÎ´Â ÀÚ±¹ °æÁ¦ÀÇ ½º¸¶Æ®½ÃƼ ±¸ÃàÀ» À§ÇØ ´Ù¾çÇÑ ÇÁ·Î±×·¥À» ÈÄ¿øÇϰí ÀÖÀ¸¸ç, ÀÌ¿¡ µû¶ó ÀÌ Áö¿ªÀÇ ½º¸¶Æ®½ÃƼ µ¥ÀÌÅÍ Ç÷§Æû ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. IBEF¿¡ µû¸£¸é, ½Ì°¡Æ÷¸£´Â ÀεµÀÇ ½º¸¶Æ®½ÃƼ ÀÌ´Ï¼ÅÆ¼ºê Áö¿ø¿¡ °ü½ÉÀ» º¸À̰í ÀÖÀ¸¸ç, ¾Èµå¶óÇÁ¶óµ¥½ÃÀÇ »õ·Î¿î ¼öµµÀÎ ¾Ï¶ó¹ÙƼ¸¦ ½º¸¶Æ®½ÃƼ·Î ¸¸µå´Â µ¥ µµ¿òÀ» ÁÖ°Ú´Ù°í Á¦¾ÈÇß½À´Ï´Ù. ½Ì°¡Æ÷¸£´Â ¶ÇÇÑ ÀεµÀÇ ³ëÈÄÈ­µÈ µµ½Ã¸¦ Àç¼³°è, Çö´ëÈ­ ¹× °³Á¶ÇÏ´Â °ÍÀ» °í·ÁÇϰí ÀÖ½À´Ï´Ù.

ÀÌÅ»¸®¾Æ´Â ½º¸¶Æ®½ÃƼ ±¸»ó¿¡ °ü½ÉÀ» º¸À̸ç ÇâÈÄ 20³â°£ 1Á¶ 2,000¾ï ´Þ·¯¸¦ ÅõÀÚÇÏ°Ú´Ù°í ¹àÇû½À´Ï´Ù. ÀÌÅ»¸®¾Æ ±â¾÷µéÀº ½º¸¶Æ®½ÃƼ ¼³°è¿Í ±â¼ú¿¡ ±â¿©Çϰí, ÄÁ¼³ÆÃºÎÅÍ ½ÇÁ¦ ÀÎÇÁ¶ó ±¸Ãà±îÁö ´Ù¾çÇÑ ¼­ºñ½º¸¦ Á¦°øÇÕ´Ï´Ù. ÀÌ¿¡ µû¶ó Á¤ºÎÀÇ ÀÌ´Ï¼ÅÆ¼ºêÀÌ È°¹ßÇØÁö°í ¼¼°èÀûÀ¸·Î Á¤ºÎ ÅõÀÚ°¡ Áõ°¡ÇÔ¿¡ µû¶ó ¿¹Ãø ±â°£ µ¿¾È ½ÃÀå ¼ºÀå¿¡ µµ¿òÀÌ µÉ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå º¸°í¼­ ÇÏÀ̶óÀÌÆ®

¿î¼Û ºÐ¾ß´Â ÃÖ°íÀÇ ¿î¼Û ¼­ºñ½º¸¦ Á¦°øÇϱ⠶§¹®¿¡ ¿¹Ãø ±â°£ µ¿¾È ³ôÀº ¼ºÀåÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¿ÂÇÁ·¹¹Ì½º°¡ °¡Àå ³ôÀº ¸ÅÃâ ºñÁßÀ» Â÷ÁöÇÕ´Ï´Ù. ±â¾÷ µ¥ÀÌÅÍ´Â ¿ÂÇÁ·¹¹Ì½º ¼Ö·ç¼ÇÀ» ÅëÇØ ±â¾÷ ³»ºÎ¿¡¼­ ÀúÀå/°ü¸®µË´Ï´Ù.

¾Æ½Ã¾ÆÅÂÆò¾çÀº µµ½ÃÈ­·Î ÀÎÇÑ ±³Åë·® Áõ°¡¿Í ȯ°æ ¹®Á¦·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °ý¸ñÇÒ¸¸ÇÑ ¼ºÀåÀÌ ¿¹»óµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼­·Ð

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå Á¶»ç ¹æ¹ý

Á¦4Àå ¼¼°èÀÇ µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå ÀλçÀÌÆ®

  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ÃÖÁ¾»ç¿ëÀÚ ÇöȲ
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀΰú ±âȸ
    • ¼ºÀå ¾ïÁ¦¿äÀΰú °úÁ¦
  • PESTEL ºÐ¼®
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå ÃÖÁ¾»ç¿ëÀÚ µ¿Çâ
  • ¹ë·ùüÀÎ ºÐ¼®
  • COVID-19ÀÇ ¿µÇ⠺м®

Á¦5Àå ¼¼°èÀÇ µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°

  • ÁÖ¿ä Á¶»ç °á°ú
  • ¼­·Ð
  • ¼ö¿äÃø ½ºÆ®¸²
  • °ø±ÞÃø ½ºÆ®¸²
  • ºÐ¼® ½ºÆ®¸²
  • Ç¥ÁØÈ­ ½ºÆ®¸²

Á¦6Àå ¼¼°èÀÇ µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°

  • ÁÖ¿ä Á¶»ç °á°ú
  • ¼­·Ð
  • ¿ÂÇÁ·¹¹Ì½º
  • Ŭ¶ó¿ìµå

Á¦7Àå ¼¼°èÀÇ µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°

  • ÁÖ¿ä Á¶»ç °á°ú
  • ¼­·Ð
  • ¿î¼Û
  • ¼Ò¸Å
  • ÀÚġü
  • ±âŸ

Á¦8Àå ¼¼°èÀÇ µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Áö¿ªº°

  • ÁÖ¿ä Á¶»ç °á°ú
  • ¼­·Ð
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå Æò°¡, Áö¿ªº°, 2019-2032³â
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ºÏ¹Ì
    • ºÏ¹Ì : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°, 2019-2032³â
    • ºÏ¹Ì : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019-2032³â
    • ºÏ¹Ì : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°, 2019-2032³â
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¹Ì±¹
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ij³ª´Ù
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - À¯·´
    • À¯·´ : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°, 2019-2032³â
    • À¯·´ : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019-2032³â
    • À¯·´ : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°, 2019-2032³â
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¿µ±¹
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ÇÁ¶û½º
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - µ¶ÀÏ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ÀÌÅ»¸®¾Æ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ½ºÆäÀÎ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ³×´ú¶õµå
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ·¯½Ã¾Æ
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¾Æ½Ã¾ÆÅÂÆò¾ç
    • ¾Æ½Ã¾ÆÅÂÆò¾ç : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°, 2019-2032³â
    • ¾Æ½Ã¾ÆÅÂÆò¾ç : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019-2032³â
    • ¾Æ½Ã¾ÆÅÂÆò¾ç : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°, 2019-2032³â
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - Áß±¹
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - Àεµ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¸»·¹À̽þÆ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ÀϺ»
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - Àεµ³×½Ã¾Æ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - Çѱ¹
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°, 2019-2032³â
    • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019-2032³â
    • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°, 2019-2032³â
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - »ç¿ìµð¾Æ¶óºñ¾Æ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - À̽º¶ó¿¤
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ³²¾ÆÇÁ¸®Ä«
  • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¶óƾ¾Æ¸Þ¸®Ä«
    • ¶óƾ¾Æ¸Þ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ½ºÆ®¸² À¯Çüº°, 2019-2032³â
    • ¶óƾ¾Æ¸Þ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019-2032³â
    • ¶óƾ¾Æ¸Þ¸®Ä« : µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå, Àü°³ ¸ðµåº°, 2019-2032³â
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¸ß½ÃÄÚ
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ºê¶óÁú
    • µµ½Ã µ¥ÀÌÅÍ Ç÷§Æû ½ÃÀå - ¾Æ¸£ÇîÆ¼³ª

Á¦9Àå °æÀï ±¸µµ

  • È®Àå ¹× Àμö ºÐ¼®
    • È®Àå
    • Àμö
  • Á¦ÈÞ/Çù¾÷/ÇÕÀÇ/°ø°³

Á¦10Àå ±â¾÷ °³¿ä

  • Alibaba Group
  • Acility S.A
  • Amazon Web Services
  • Bosch.IO
  • Cisco Systems
  • Denali Management
  • Ericsson Corporation
  • Fujitsu Limited
  • Fybr Inc
  • Google
  • Hitachi
  • Inspur Technologies
  • Lumani
  • Nexpa Systems
  • Quantela
LSH 23.09.15

The Global city data platform market size is expected to reach USD 313.78 billion by 2032, according to a new study by Polaris Market Research. The report "City Data Platform Market Share, Size, Trends, Industry Analysis Report, By Stream Type (Demand-Side Stream, Supply-Side Stream, Analytical Stream, and Standardization Stream); By Deployment Mode; By End-User; By Region; Segment Forecast, 2023 - 2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.

One of the main factors propelling the market for city data platforms is the ability of relevant local governments and authorities to create smart cities. Through their different policies and activities aimed at the implementation of smart services as a significant component of their infrastructure, governments have been playing a significant role in the smart city sector.

As per the US Government, the Administration is unveiling the new "Smart Cities" Initiative that will use more than 25 latest technological collaborations and over $160 million in federal research funding to assist local communities in addressing pressing issues like reducing traffic congestion, combating crime, promoting economic growth, coping with the effects of climate change, and enhancing the provision of city services. During the forecast period, this is also anticipated to play a significant role in driving the city data platform market's expansion.

Apart from this, for the development of cutting-edge emergency response technology for Smart Cities, the Department of Homeland Security (DHS) has announced intentions to spend $50 million over the forecast period. Also, the Department of Energy (DOE) will spend roughly $10 million to increase its assistance in the creation of smart, energy-efficient, and low-emission towns that use Smart Cities technologies. As a result, the government is concentrating on energy distribution utilizing effective models and methods to move this region closer to a low-carbon future, which in turn is encouraging the need for efficient smart city management solutions. Therefore, the market for city data platforms is rising at a rapid rate.

In addition, governments in developing nations like China, South Korea, Dubai, India, Singapore, and Japan are sponsoring numerous programs to construct smart cities for their economies, which is expected to increase demand for smart city data platform solutions in the area. As per the IBEF, Singapore has expressed interest in supporting India's Smart City Initiative and offered to assist in creating Amravati, the new capital of Andhra Pradesh, as a smart city. The nation is also considering re-engineering, modernizing, and renovating the aging Indian city.

Italy has expressed interest in the idea of smart cities and pledged to invest US$ 1.2 trillion over the next 20 years through several initiatives. The Italian businesses will contribute to the design and technology of the smart cities, providing services ranging from consulting to the actual building of the infrastructure. As a result, rising government initiatives as well as increasing government investment across the globe are boosting the growth of the market over the forecast period.

City Data Platform Market Report Highlights

Transport segment is anticipated to grow at high pace over the forecast period owing to the providing the finest transportation service.

On-Premise accounted for highest revenue share. Corporate data is stored/managed internally within the firm via an on-premises solution.

Asia-pacific is expected to grow prominently over the projected period on account of urbanization causing more traffic and environmental issues

The global players include: Alibaba Group, Inspur Technologies, Cisco Systems, and Quantela, Inc.

Polaris Market Research has segmented the City Data Platform market report based on stream type, deployment mode, end-user, and region:

City Data Platform, Stream Type Outlook (Revenue - USD Billion, 2019 - 2032)

  • Demand-Side Stream
  • Supply-Side Stream
  • Analytical Stream
  • Standardization Stream

City Data Platform, End-User Outlook (Revenue - USD Billion, 2019 - 2032)

  • Transport
  • Retail
  • Municipality
  • Others

City Data Platform, Deployment Mode Outlook (Revenue - USD Billion, 2019 - 2032)

  • On-Premise
  • Cloud

City Data Platform, Regional Outlook (Revenue - USD Billion, 2019 - 2032)

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Netherlands
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Malaysia
  • Latin America
  • Argentina
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • Israel
  • South Africa

Table of Contents

1. Introduction

  • 1.1. Report Description
    • 1.1.1. Objectives of the Study
    • 1.1.2. Market Scope
    • 1.1.3. Assumptions
  • 1.2. Stakeholders

2. Executive Summary

  • 2.1. Market Highlights

3. Research Methodology

  • 3.1. Overview
    • 3.1.1. Data Mining
  • 3.2. Data Sources
    • 3.2.1. Primary Sources
    • 3.2.2. Secondary Sources

4. Global City Data Platform Market Insights

  • 4.1. City Data Platform Market - End-User Snapshot
  • 4.2. City Data Platform Market Dynamics
    • 4.2.1. Drivers and Opportunities
      • 4.2.1.1. Rising Adoption of Internet and IoT Devices
      • 4.2.1.2. Governments Increasing Focus on Smart City
    • 4.2.2. Restraints and Challenges
      • 4.2.2.1. Increasing concern over data privacy and security
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers (Moderate)
    • 4.3.2. Threats of New Entrants: (Low)
    • 4.3.3. Bargaining Power of Buyers (Moderate)
    • 4.3.4. Threat of Substitute (Moderate)
    • 4.3.5. Rivalry among existing firms (High)
  • 4.4. PESTEL Analysis
  • 4.5. City Data Platform Market End-User Trends
  • 4.6. Value Chain Analysis
  • 4.7. COVID-19 Impact Analysis

5. Global City Data Platform Market, by Stream Type

  • 5.1. Key Findings
  • 5.2. Introduction
    • 5.2.1. Global City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
  • 5.3. Demand-Side Stream
    • 5.3.1. Global City Data Platform Market, by Demand-Side Stream, by Region, 2019-2032 (USD Billion)
  • 5.4. Supply-Side Stream
    • 5.4.1. Global City Data Platform Market, by Supply-Side Stream, by Region, 2019-2032 (USD Billion)
  • 5.5. Analytical Stream
    • 5.5.1. Global City Data Platform Market, by Analytical Stream, by Region, 2019-2032 (USD Billion)
  • 5.6. Standardization Stream
    • 5.6.1. Global City Data Platform Market, by Standardization Stream, by Region, 2019-2032 (USD Billion)

6. Global City Data Platform Market, by Deployment Mode

  • 6.1. Key Findings
  • 6.2. Introduction
    • 6.2.1. Global City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
  • 6.3. On-Premise
    • 6.3.1. Global City Data Platform Market, by On-Premise, by Region, 2019-2032 (USD Billion)
  • 6.4. Cloud
    • 6.4.1. Global City Data Platform Market, by Cloud, by Region, 2019-2032 (USD Billion)

7. Global City Data Platform Market, by End-User

  • 7.1. Key Findings
  • 7.2. Introduction
    • 7.2.1. Global City Data Platform Market, by End-User, 2019-2032 (USD Billion)
  • 7.3. Transport
    • 7.3.1. Global City Data Platform Market, by Transport, By Region, 2019-2032 (USD Billion)
  • 7.4. Retail
    • 7.4.1. Global City Data Platform Market, by Retail, By Region, 2019-2032 (USD Billion)
  • 7.5. Municipality
    • 7.5.1. Global City Data Platform Market, by Municipality, By Region, 2019-2032 (USD Billion)
  • 7.6. Others
    • 7.6.1. Global City Data Platform Market, by Others, By Region, 2019-2032 (USD Billion)

8. Global City Data Platform Market, by Geography

  • 8.1. Key findings
  • 8.2. Introduction
    • 8.2.1. City Data Platform Market Assessment, By Geography, 2019-2032 (USD Billion)
  • 8.3. City Data Platform Market - North America
    • 8.3.1. North America: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
    • 8.3.2. North America: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
    • 8.3.3. North America: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.3.4. City Data Platform Market - U.S.
      • 8.3.4.1. U.S.: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.3.4.2. U.S.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.3.4.3. U.S.: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.3.5. City Data Platform Market - Canada
      • 8.3.5.1. Canada: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.3.5.2. Canada.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.3.5.3. Canada: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
  • 8.4. City Data Platform Market - Europe
    • 8.4.1. Europe: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
    • 8.4.2. Europe.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
    • 8.4.3. Europe: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.4. City Data Platform Market - UK
      • 8.4.4.1. UK: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.4.2. UK.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.4.3. UK: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.5. City Data Platform Market - France
      • 8.4.5.1. France: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.5.2. France.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.5.3. France: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.6. City Data Platform Market - Germany
      • 8.4.6.1. Germany: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.6.2. Germany.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.6.3. Germany: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.7. City Data Platform Market - Italy
      • 8.4.7.1. Italy: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.7.2. Italy.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.7.3. Italy: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.8. City Data Platform Market - Spain
      • 8.4.8.1. Spain: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.8.2. Spain.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.8.3. Spain: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.9. City Data Platform Market - Netherlands
      • 8.4.9.1. Netherlands: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.9.2. Netherlands.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.9.3. Netherlands: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.4.10. City Data Platform Market - Russia
      • 8.4.10.1. Russia: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.4.10.2. Russia.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.4.10.3. Russia: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
  • 8.5. City Data Platform Market - Asia Pacific
    • 8.5.1. Asia Pacific: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
    • 8.5.2. Asia Pacific.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
    • 8.5.3. Asia Pacific: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.4. City Data Platform Market - China
      • 8.5.4.1. China: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.4.2. China.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.4.3. China: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.5. City Data Platform Market - India
      • 8.5.5.1. India: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.5.2. India.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.5.3. India: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.6. City Data Platform Market - Malaysia
      • 8.5.6.1. Malaysia: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.6.2. Malaysia.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.6.3. Malaysia: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.7. City Data Platform Market - Japan
      • 8.5.7.1. Japan: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.7.2. Japan.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.7.3. Japan: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.8. City Data Platform Market - Indonesia
      • 8.5.8.1. Indonesia: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.8.2. Indonesia.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.8.3. Indonesia: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.5.9. City Data Platform Market - South Korea
      • 8.5.9.1. South Korea: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.5.9.2. South Korea.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.5.9.3. South Korea: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
  • 8.6. City Data Platform Market - Middle East & Africa
    • 8.6.1. Middle East & Africa: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
    • 8.6.2. Middle East & Africa.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
    • 8.6.3. Middle East & Africa: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.6.4. City Data Platform Market - Saudi Arabia
      • 8.6.4.1. Saudi Arabia: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.6.4.2. Saudi Arabia.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.6.4.3. Saudi Arabia: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.6.5. City Data Platform Market - UAE
      • 8.6.5.1. UAE: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.6.5.2. UAE.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.6.5.3. UAE: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.6.6. City Data Platform Market - Israel
      • 8.6.6.1. Israel: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.6.6.2. Israel.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.6.6.3. Israel: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.6.7. City Data Platform Market - South Africa
      • 8.6.7.1. South Africa: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.6.7.2. South Africa.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.6.7.3. South Africa: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
  • 8.7. City Data Platform Market - Latin America
    • 8.7.1. Latin America: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
    • 8.7.2. Latin America.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
    • 8.7.3. Latin America: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.7.4. City Data Platform Market - Mexico
      • 8.7.4.1. Mexico: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.7.4.2. Mexico.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.7.4.3. Mexico: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.7.5. City Data Platform Market - Brazil
      • 8.7.5.1. Brazil: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.7.5.2. Brazil.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.7.5.3. Brazil: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)
    • 8.7.6. City Data Platform Market - Argentina
      • 8.7.6.1. Argentina: City Data Platform Market, by Stream Type, 2019-2032 (USD Billion)
      • 8.7.6.2. Argentina.: City Data Platform Market, by End-User, 2019-2032 (USD Billion)
      • 8.7.6.3. Argentina: City Data Platform Market, by Deployment Mode, 2019-2032 (USD Billion)

9. Competitive Landscape

  • 9.1. Expansion and Acquisition Analysis
    • 9.1.1. Expansion
    • 9.1.2. Acquisitions
  • 9.2. Partnerships/Collaborations/Agreements/Exhibitions

10. Company Profiles

  • 10.1. Alibaba Group
    • 10.1.1. Company Overview
    • 10.1.2. Financial Performance
    • 10.1.3. Product Benchmarking
    • 10.1.4. Recent Development
  • 10.2. Acility S.A
    • 10.2.1. Company Overview
    • 10.2.2. Financial Performance
    • 10.2.3. Product Benchmarking
    • 10.2.4. Recent Development
  • 10.3. Amazon Web Services
    • 10.3.1. Company Overview
    • 10.3.2. Financial Performance
    • 10.3.3. Product Benchmarking
    • 10.3.4. Recent Development
  • 10.4. Bosch.IO
    • 10.4.1. Company Overview
    • 10.4.2. Financial Performance
    • 10.4.3. Product Benchmarking
    • 10.4.4. Recent Development
  • 10.5. Cisco Systems
    • 10.5.1. Company Overview
    • 10.5.2. Financial Performance
    • 10.5.3. Product Benchmarking
    • 10.5.4. Recent Development
  • 10.6. Denali Management
    • 10.6.1. Company Overview
    • 10.6.2. Financial Performance
    • 10.6.3. Product Benchmarking
    • 10.6.4. Recent Development
  • 10.7. Ericsson Corporation
    • 10.7.1. Company Overview
    • 10.7.2. Financial Performance
    • 10.7.3. Product Benchmarking
    • 10.7.4. Recent Development
  • 10.8. Fujitsu Limited
    • 10.8.1. Company Overview
    • 10.8.2. Financial Performance
    • 10.8.3. Product Benchmarking
    • 10.8.4. Recent Development
  • 10.9. Fybr Inc
    • 10.9.1. Company Overview
    • 10.9.2. Financial Performance
    • 10.9.3. Product Benchmarking
    • 10.9.4. Recent Development
  • 10.10. Google
    • 10.10.1. Company Overview
    • 10.10.2. Financial Performance
    • 10.10.3. Product Benchmarking
    • 10.10.4. Recent Development
  • 10.11. Hitachi
    • 10.11.1. Company Overview
    • 10.11.2. Financial Performance
    • 10.11.3. Product Benchmarking
    • 10.11.4. Recent Development
  • 10.12. Inspur Technologies
    • 10.12.1. Company Overview
    • 10.12.2. Financial Performance
    • 10.12.3. Product Benchmarking
    • 10.12.4. Recent Development
  • 10.13. Lumani
    • 10.13.1. Company Overview
    • 10.13.2. Financial Performance
    • 10.13.3. Product Benchmarking
    • 10.13.4. Recent Development
  • 10.14. Nexpa Systems
    • 10.14.1. Company Overview
    • 10.14.2. Financial Performance
    • 10.14.3. Product Benchmarking
    • 10.14.4. Recent Development
  • 10.15. Quantela
    • 10.15.1. Company Overview
    • 10.15.2. Financial Performance
    • 10.15.3. Product Benchmarking
    • 10.15.4. Recent Development
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦