½ÃÀ庸°í¼­
»óǰÄÚµå
1525313

¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ±Ô¸ð Á¶»ç : Á¦Ç° À¯Çüº°, ¿ëµµº°, Áö¿ªº° ¿¹Ãø(2022-2032³â)

Global Web Scraper Software Market Size Study, by Product Type, by Application and Regional Forecasts 2022-2032

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Bizwit Research & Consulting LLP | ÆäÀÌÁö Á¤º¸: ¿µ¹® 285 Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿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.

¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀåÀº 2023³â ¾à 9¾ï 171¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú°í, ¿¹Ãø ±â°£ÀÎ 2024³âºÎÅÍ 2032³â±îÁö 12.01% ÀÌ»óÀÇ °ß½ÇÇÑ ¼ºÀå·ü·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

À¥ ½ºÅ©·¡ÇÎ µµ±¸´Â ¿Â¶óÀÎ ¼Ò½º¿¡¼­ ±ÍÁßÇÑ Á¤º¸¸¦ ÃßÃâÇϱâ À§ÇØ °í¾ÈµÈ Àü¿ë ¼ÒÇÁÆ®¿þ¾îÀÔ´Ï´Ù. ÀÌ·¯ÇÑ µµ±¸´Â À¥¿¡¼­ µ¥ÀÌÅ͸¦ ¼öÁýÇØ¾ß ÇÏ´Â »ç¿ëÀÚ¿¡°Ô ÇʼöÀûÀÔ´Ï´Ù. À¥ ½ºÅ©·¡ÇÎÀº µ¥ÀÌÅÍ Á᫐ Àü·«ÀÇ Á߿伺ÀÌ Ä¿Áü¿¡ µû¶ó °í°´, ½ÃÀå ¹× °æÀï¿¡ ´ëÇÑ ´õ ±íÀº ÅëÂû·ÂÀ» Ãß±¸ÇÏ°í °æÀï ¿ìÀ§¸¦ Á¦°øÇÏ·Á´Â ±â¾÷¿¡°Ô ¸Å¿ì Áß¿äÇØÁ³À¸¸ç, À¥ »çÀÌÆ®ÀÇ ÇѰ踦 ±Øº¹Çϰí IP Â÷´ÜÀ» ÇÇÇϱâ À§ÇØ À¥ ½ºÅ©·¡ÆÛ´Â Á¾Á¾ ¸ð¹ÙÀÏ ÇÁ·Ï½Ã¸¦ »ç¿ëÇÕ´Ï´Ù. ¸ð¹ÙÀÏ ÇÁ·Ï½Ã¸¦ »ç¿ëÇÕ´Ï´Ù. ¸¹Àº À¯¸í Åë½Å»çµéÀº ¸ð¹ÙÀÏ ±â±â¿ë °íÀ¯ IP ÁÖ¼Ò¸¦ Á¦°øÇÏ¿© »ç¿ëÀÚ°¡ ÀÍ¸í¼ºÀ» À¯ÁöÇϸ鼭 ½ºÅ©·¡ÇÎÀ» À§ÇØ °³º° IP¸¦ »ý¼ºÇÒ ¼ö ÀÖµµ·Ï Çϰí ÀÖÀ¸¸ç, ÀüÀÚ»ó°Å·¡ ºÎ¹® ¼ö¿ä Áõ°¡¿Í ´Ù¾çÇÑ ÃÖÁ¾ »ç¿ëÀÚµéÀÇ ¼ÒÇÁÆ®¿þ¾î äÅÃÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀåÀº Àü·«Àû ÀÇ»ç°áÁ¤°ú ½ÃÀå ÆÄ¾ÇÀ» À§ÇØ ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ ó¸®ÇÏ°í ºÐ¼®ÇÒ Çʿ伺ÀÌ ÇʼöÀûÀ̶ó´Â Á¡ÀÌ ½ÃÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù.

À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾îÀÇ Ã¤Åà Ȯ´ë´Â ½ÃÀå È®´ë¿¡ Å©°Ô ±â¿©Çϰí ÀÖÀ¸¸ç, ÀüÀÚ»ó°Å·¡ÀÇ ¹ø¿µ°ú ÇÔ²² È¿À²ÀûÀÎ µ¥ÀÌÅÍ ¼öÁý ¹× ºÐ¼® µµ±¸¿¡ ´ëÇÑ Çʿ伺ÀÌ °¡Àå Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ±â¾÷µéÀº ¼ÒºñÀÚ Çൿ, ½ÃÀå µ¿Çâ ¹× °æÀï ºÐ¼®À» ÀÌÇØÇÏ´Â µ¥ µµ¿òÀÌ µÇ´Â µ¥ÀÌÅ͸¦ ¼öÁýÇϱâ À§ÇØ À¥ ½ºÅ©·¡ÇÎ ¼ÒÇÁÆ®¿þ¾î¿¡ Å©°Ô ÀÇÁ¸Çϰí ÀÖ½À´Ï´Ù. ÀÌ ¼ÒÇÁÆ®¿þ¾î¸¦ ÅëÇØ ±â¾÷Àº µ¥ÀÌÅÍ ¼öÁý ÇÁ·Î¼¼½º¸¦ ÀÚµ¿È­ÇÏ¿© ¿î¿µ ºñ¿ëÀ» Àý°¨Çϰí È¿À²¼ºÀ» Çâ»ó½ÃÄÑ ¾÷¹«¸¦ °£¼ÒÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÇコÄÉ¾î ºÎ¹®µµ À¥ ½ºÅ©·¡ÇÎ ¼ÒÇÁÆ®¿þ¾î¸¦ ÅëÇØ ÇコÄɾî Á¦Ç° ¹× ¼­ºñ½º °ü·Ã Á¤º¸¸¦ ¸ð´ÏÅ͸µÇÏ°í ¼öÁýÇÔÀ¸·Î½á ±× ÇýÅÃÀ» ´©¸®°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ¹× ¸®µå »ý¼º¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖÀ¸¸ç, ƯÈ÷ ä¿ë ´ëÇà ¾÷°è´Â À¥ ½ºÅ©·¡ÇÎÀ» »ç¿ëÇÏ¿© ä¿ë »çÀÌÆ®, HR ÄÁ¼³ÆÃ ȸ»ç ¹× ¾Ö±×¸®°ÔÀÌÅͷκÎÅÍ µ¥ÀÌÅ͸¦ ¼öÁýÇϰí ÀÖ½À´Ï´Ù. ÀÌ µ¥ÀÌÅÍ´Â Á¶Á÷°ú ÀûÇÕÇÑ ±¸Á÷ÀÚ¸¦ ¿¬°áÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ±×·¯³ª °æÀïÀÌ Ä¡¿­ÇØÁö¸é¼­ ¸¹Àº ±â¾÷µéÀÌ ¹«·á ¹öÀüÀÇ ¼ÒÇÁÆ®¿þ¾î¸¦ Á¦°øÇÔ¿¡ µû¶ó ½ÃÀåÀº ¾î·Á¿ò¿¡ Á÷¸éÇϰí ÀÖÀ¸¸ç, Áß¼Ò±â¾÷Àº ºñ¿ëÀ» ÃÖ¼ÒÈ­Çϱâ À§ÇØ ¹«·á µµ±¸¸¦ ¼±ÅÃÇÏ°Ô µÇ¾ú½À´Ï´Ù.

¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå Á¶»ç¿¡¼­ °í·ÁµÈ ÁÖ¿ä Áö¿ªÀº ºÏ¹Ì, À¯·´, ¾Æ½Ã¾ÆÅÂÆò¾ç, ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«À̸ç, 2023³â¿¡´Â ºÏ¹Ì°¡ ½ÃÀåÀ» Àå¾ÇÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ´Â µ¥ÀÌÅÍ º¸¾È¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö°í ´Ù¾çÇÑ ºÎ¹®¿¡ °ÉÃÄ ¹æ´ëÇÑ ¾çÀÇ ºñÁ¤Çü µ¥ÀÌÅ͸¦ °ü¸®ÇØ¾ß ÇÒ Çʿ伺 ¶§¹®ÀÔ´Ï´Ù. ¶ÇÇÑ ÀÌ Áö¿ªÀº µ¥ÀÌÅÍ Á᫐ Àü·«ÀÇ ³ôÀº äÅ÷ü, Çõ½Å¿¡ ´ëÇÑ ¸·´ëÇÑ ÅõÀÚ, źźÇÑ µðÁöÅÐ »ýŰèÀÇ ÇýÅÃÀ» ´©¸®°í ÀÖ½À´Ï´Ù. ½ÃÀå Á¤º¸, °æÀï ºÐ¼®, °í°´ ÀλçÀÌÆ®¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϸ鼭 À¥ ½ºÅ©·¡ÇÎ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ºÏ¹ÌÀÇ ¾çÈ£ÇÑ ±ÔÁ¦ ȯ°æ°ú ¼÷·ÃµÈ IT Àü¹®°¡ÀÇ º¸±ÞÀº À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾îÀÇ °³¹ß ¹× ¹èÆ÷¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿äÀÎÀ» Á¾ÇÕÇÏ¸é ºÏ¹Ì´Â ¼¼°è À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀåÀÇ ¼±µÎÁÖÀÚ¶ó°í ÇÒ ¼ö ÀÖ½À´Ï´Ù. À¯·´Àº ¼Ò¸Å¾÷ü, ±ÝÀ¶ ¼­ºñ½º Á¦°ø¾÷ü, ±¤°í ´ëÇà»ç°¡ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î¸¦ ±¤¹üÀ§ÇÏ°Ô »ç¿ëÇϸ鼭 ½ÃÀå Á¡À¯À²À» Å©°Ô Â÷ÁöÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¾Æ½Ã¾ÆÅÂÆò¾çÀº ÀüÀÚ»ó°Å·¡ ºÎ¹® ¼ö¿ä Áõ°¡¿Í ºü¸¥ ±â¼ú ¹ßÀü ¼Óµµ·Î ÀÎÇØ ºü¸£°Ô ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå : ÁÖ¿ä ¿ä¾à

  • ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø(2022-2032³â)
  • Áö¿ªº° °³¿ä
  • ºÎ¹®º° °³¿ä
    • Á¦Ç° À¯Çüº°
    • ¿ëµµº°
  • ÁÖ¿ä µ¿Çâ
  • °æ±âÈÄÅðÀÇ ¿µÇâ
  • ¾Ö³Î¸®½ºÆ®ÀÇ °á·Ð ¹× Á¦¾È

Á¦2Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå Á¤ÀÇ¿Í Á¶»çÀÇ ÀüÁ¦Á¶°Ç

  • Á¶»ç ¸ñÀû
  • ½ÃÀåÀÇ Á¤ÀÇ
  • Á¶»çÀÇ ÀüÁ¦Á¶°Ç
    • Æ÷ÇÔ°ú Á¦¿Ü
    • Á¦ÇÑ »çÇ×
    • °ø±ÞÃø ºÐ¼®
      • °¡¿ë¼º
      • ÀÎÇÁ¶ó
      • ±ÔÁ¦ ȯ°æ
      • ½ÃÀå °æÀï
      • °æÁ¦¼º(¼ÒºñÀÚ ½ÃÁ¡)
    • ¼ö¿äÃø ºÐ¼®
      • ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©
      • ±â¼ú Áøº¸
      • ģȯ°æ
      • ¼ÒºñÀÚ Àǽİú ¼ö¿ë
  • Á¶»ç ¹æ¹ý
  • Á¶»ç ´ë»ó³âµµ
  • ÅëÈ­ ȯ»êÀ²

Á¦3Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ¿ªÇÐ

  • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
  • ½ÃÀåÀÌ ÇØ°áÇØ¾ß ÇÒ °úÁ¦
  • ½ÃÀå ±âȸ

Á¦4Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå : »ê¾÷ ºÐ¼®

  • Porter's Five Forces ¸ðµ¨
    • °ø±Þ ±â¾÷ÀÇ ±³¼··Â
    • ¹ÙÀ̾îÀÇ ±³¼··Â
    • ½Å±Ô ÁøÃâ¾÷üÀÇ À§Çù
    • ´ëüǰÀÇ À§Çù
    • °æÀï ±â¾÷°£ °æÀï °ü°è
    • Porter's Five Forces ¸ðµ¨¿¡ ´ëÇÑ ¹Ì·¡Àû Á¢±Ù
    • Porter's Five ForcesÀÇ ¿µÇ⠺м®
  • PESTEL ºÐ¼®
    • Á¤Ä¡
    • °æÁ¦
    • »çȸ
    • ±â¼ú
    • ȯ°æ
    • ¹ý·ü
  • ÁÖ¿ä ÅõÀÚ ±âȸ
  • ÁÖ¿ä ¼º°ø Àü·«
  • ÆÄ±«Àû µ¿Çâ
  • ¾÷°è Àü¹®°¡ÀÇ °ßÇØ
  • ¾Ö³Î¸®½ºÆ®ÀÇ °á·Ð ¹× Á¦¾È

Á¦5Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø : Á¦Ç° À¯Çüº°, 2022³â-2032³â

  • ºÎ¹® ´ë½Ãº¸µå
  • ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå : Á¦Ç° À¯Çüº° ¸ÅÃâ µ¿Ç⠺м®, 2022³â¡¤2032³â
    • General Purpose Web Crawlers
    • Focused Web Crawlers
    • Incremental Web Crawlers
    • Deep Web Crawlers

Á¦6Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø : ¿ëµµº°, 2022³â-2032³â

  • ºÎ¹® ´ë½Ãº¸µå
  • ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå : ¿ëµµº° ¸ÅÃâ µ¿Ç⠺м®, 2022³â¡¤2032³â
    • ±ÝÀ¶ ±â¾÷
    • ±¤°í ±â¾÷
    • ±âŸ

Á¦7Àå ¼¼°èÀÇ À¥ ½ºÅ©·¹ÀÌÆÛ ¼ÒÇÁÆ®¿þ¾î ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø : Áö¿ªº°, 2022³â-2032³â

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
  • À¯·´
    • ¿µ±¹
    • µ¶ÀÏ
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ÀÌÅ»¸®¾Æ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • Áß±¹
    • Àεµ
    • ÀϺ»
    • È£ÁÖ
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ¶óƾ¾Æ¸Þ¸®Ä«
    • ºê¶óÁú
    • ¸ß½ÃÄÚ
    • ±âŸ ¶óƾ¾Æ¸Þ¸®Ä«
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦8Àå °æÀï Á¤º¸

  • ÁÖ¿ä ±â¾÷ÀÇ SWOT ºÐ¼®
  • ÁÖ¿ä ½ÃÀå Àü·«
  • ±â¾÷ °³¿ä
    • Datahut
      • ÁÖ¿ä Á¤º¸
      • °³¿ä
      • À繫(µ¥ÀÌÅÍ ÀÔ¼ö°¡ °¡´ÉÇÑ °æ¿ì)
      • Á¦Ç° °³¿ä
      • ½ÃÀå Àü·«
    • Web Host
    • Octopus Data Inc
    • Apify
    • Intelliswift
    • Phantom Buster
    • Mozenda Inc.
    • UiPath
    • iSolve Technologies
    • Web Spiders Group

Á¦9Àå Á¶»ç °úÁ¤

LSH 24.08.23

Global Web Scraper Software Market is valued at approximately USD 901.71 Million in 2023 and is anticipated to grow with a healthy growth rate of more than 12.01% over the forecast period 2024-2032. A web scraping tool is a specialized software designed to extract valuable information from online sources. These tools are essential for users who need to collect data from the web. As the importance of data-driven strategies increases, web scraping becomes crucial for businesses seeking deeper insights into their customers, markets, and competitors, offering a competitive advantage. To overcome website restrictions and bypass IP blocks, web scrapers often use mobile proxies. Many reputable carriers offer unique IP addresses for mobile devices, allowing users to generate distinct IPs for scraping while preserving their anonymity. The increased demand from the e-commerce sector and growing adoption of the software by various end users are the key market drivers enhancing market growth. The web scraper software market is driven by the essential need to process and analyze vast amounts of data for strategic decision-making and market understanding.

The growing adoption of web scraper software is significantly contributing to market expansion. As e-commerce continues to flourish, the need for efficient data collection and analysis tools has become paramount. Companies rely heavily on web scraping software to gather data that aids in understanding consumer behavior, market trends, and competitive analysis. This software enables businesses to streamline their operations by automating the data collection process, thereby reducing operational costs and enhancing efficiency. The healthcare sector also benefits from web scraper software by using it to monitor and collect information related to healthcare products and services. Furthermore, the demand for business intelligence and lead generation is rising, particularly within the recruitment industry, which uses web scraping to gather data from job boards, HR consulting firms, and aggregators. This data is crucial for connecting organizations with the right pool of job seekers. However, the market faces challenges as many companies offer free versions of their software due to intense competition, leading SMEs to opt for complimentary tools to minimize costs.

Key regions considered for the global Web Scraper Software market study include North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. In 2023, North America dominates the market, driven by increasing data security concerns and the need to manage vast amounts of unstructured data across various sectors. Moreover, the region benefits from a high adoption rate of data-driven strategies, significant investment in innovation, and a robust digital ecosystem. The increasing need for market intelligence, competitive analysis, and customer insights drives demand for web scraping solutions. Additionally, North America's favorable regulatory environment and the prevalence of skilled IT professionals enhance the development and deployment of web scraper software. These factors collectively position North America as a leader in the global web scraper software market. Europe holds a significant market share, with extensive use of web scraper software by retail businesses, financial service providers, and advertising agencies. Furthermore, the Asia-Pacific region is expected to grow at a rapid pace due to the rising demand from the e-commerce sector and fast-paced technological advancements.

Major market players included in this report are:

  • UiPath
  • iSolve Technologies
  • Web Spiders Group
  • Datahut
  • Web Host
  • Octopus Data Inc
  • Apify
  • Intelliswift
  • Phantom Buster
  • Mozenda Inc.

The detailed segments and sub-segment of the market are explained below:

By Product Type:

  • General Purpose Web Crawlers
  • Focused Web Crawlers
  • Incremental Web Crawlers
  • Deep Web Crawlers

By Application:

  • Financial Enterprise
  • Advertising Company
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Web Scraper Software Market Executive Summary

  • 1.1. Global Web Scraper Software Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Product Type
    • 1.3.2. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Web Scraper Software Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Web Scraper Software Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Growing adoption of web scraper software
    • 3.1.2. Increased demand from e-commerce sector
  • 3.2. Market Challenges
    • 3.2.1. High competition and free software offerings
    • 3.2.2. Reluctance of SMEs to invest in paid tools
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in the healthcare sector
    • 3.3.2. Rise in business intelligence and lead generation needs

Chapter 4. Global Web Scraper Software Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Web Scraper Software Market Size & Forecasts by Product Type 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Web Scraper Software Market: Product Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 5.2.1. General Purpose Web Crawlers
    • 5.2.2. Focused Web Crawlers
    • 5.2.3. Incremental Web Crawlers
    • 5.2.4. Deep Web Crawlers

Chapter 6. Global Web Scraper Software Market Size & Forecasts by Application 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Web Scraper Software Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 6.2.1. Financial Enterprise
    • 6.2.2. Advertising Company
    • 6.2.3. Others

Chapter 7. Global Web Scraper Software Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Web Scraper Software Market
    • 7.1.1. U.S. Web Scraper Software Market
      • 7.1.1.1. Product Type breakdown size & forecasts, 2022-2032
      • 7.1.1.2. Application breakdown size & forecasts, 2022-2032
    • 7.1.2. Canada Web Scraper Software Market
  • 7.2. Europe Web Scraper Software Market
    • 7.2.1. U.K. Web Scraper Software Market
    • 7.2.2. Germany Web Scraper Software Market
    • 7.2.3. France Web Scraper Software Market
    • 7.2.4. Spain Web Scraper Software Market
    • 7.2.5. Italy Web Scraper Software Market
    • 7.2.6. Rest of Europe Web Scraper Software Market
  • 7.3. Asia-Pacific Web Scraper Software Market
    • 7.3.1. China Web Scraper Software Market
    • 7.3.2. India Web Scraper Software Market
    • 7.3.3. Japan Web Scraper Software Market
    • 7.3.4. Australia Web Scraper Software Market
    • 7.3.5. South Korea Web Scraper Software Market
    • 7.3.6. Rest of Asia Pacific Web Scraper Software Market
  • 7.4. Latin America Web Scraper Software Market
    • 7.4.1. Brazil Web Scraper Software Market
    • 7.4.2. Mexico Web Scraper Software Market
    • 7.4.3. Rest of Latin America Web Scraper Software Market
  • 7.5. Middle East & Africa Web Scraper Software Market
    • 7.5.1. Saudi Arabia Web Scraper Software Market
    • 7.5.2. South Africa Web Scraper Software Market
    • 7.5.3. Rest of Middle East & Africa Web Scraper Software Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. Datahut
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. Web Host
    • 8.3.3. Octopus Data Inc
    • 8.3.4. Apify
    • 8.3.5. Intelliswift
    • 8.3.6. Phantom Buster
    • 8.3.7. Mozenda Inc.
    • 8.3.8. UiPath
    • 8.3.9. iSolve Technologies
    • 8.3.10. Web Spiders Group

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes
»ùÇà ¿äû ¸ñ·Ï
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
¸ñ·Ï º¸±â
Àüü»èÁ¦