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ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå : ±¸¼º¿ä¼Ò, ºÐ¾ß, µ¥ÀÌÅÍ ¼öÁý ¸Åü, ¹èÆ÷, ¿ëµµº° - ¼¼°è ¿¹Ãø(2025-2030³â)

Big Data, IoT & Climate Change Market by Component, Field, Data Collection Medium, Deployment, Application - Global Forecast 2025-2030

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ºòµ¥ÀÌÅÍ, IoT¿Í ±âÈĺ¯È­ ½ÃÀåÀº 2023³â¿¡ 1¾ï 8,973¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. 2024³â¿¡´Â 2¾ï 206¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, CAGR 6.59%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 2¾ï 9,664¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

±âÈÄ º¯È­ÀÇ ¸Æ¶ô¿¡¼­ ºòµ¥ÀÌÅÍ¿Í IoT´Â ȯ°æ ¿µÇâÀ» ÀÌÇØÇϰí, ¸ð´ÏÅ͸µÇϰí, ¿ÏÈ­ÇÏ´Â µ¥ µµ¿òÀÌ µÇ´Â Áß¿äÇÑ ¿¬°á°í¸®¸¦ Çü¼ºÇϰí ÀÖ½À´Ï´Ù. ÀÌ ±³Â÷Á¡À» ÅëÇØ ±â»ó °üÃø¼Ò, À§¼º À̹ÌÁö, ¼¾¼­ µî ´Ù¾çÇÑ ÃâóÀÇ ¹æ´ëÇÑ µ¥ÀÌÅÍ ¼¼Æ®¸¦ ¼öÁý, ºÐ¼® ¹× Ȱ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. ºòµ¥ÀÌÅÍ¿Í IoT Ȱ¿ëÀÇ Çʿ伺Àº º¸´Ù Á¤È®ÇÑ ¸ðµ¨¸µ, ½Ç½Ã°£ ¸ð´ÏÅ͸µ, ¿¹Ãø ºÐ¼®À» ÅëÇØ ½Ç¿ëÀûÀÎ ÅëÂû·ÂÀ» Á¦°øÇÏ´Â ¿¹Ãø ºÐ¼®À» ÅëÇØ ±âÈÄ º¯È­¿¡ ´ëÀÀÇØ¾ß ÇÏ´Â ½Ã±ÞÇÑ Çʿ伺¿¡ ÀÇÇØ °­Á¶µÇ°í ÀÖ½À´Ï´Ù. ÁÖ¿ä ÀÀ¿ë ºÐ¾ß·Î´Â ±â»ó ¿¹º¸, ÀÚ¿ø ¼Òºñ ÃÖÀûÈ­, Àç»ý °¡´É ¿¡³ÊÁö ¹× ±×¸®µå °ü¸®, Àç³­ ´ëÀÀ Ȱµ¿ °­È­ µîÀÌ ÀÖ½À´Ï´Ù. ³ó¾÷, ¿¡³ÊÁö, ±³Åë, µµ½Ã °èȹ, ȯ°æ º¸È£ µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ µ¥ÀÌÅÍ ±â¹Ý ÅëÂû·ÂÀ» Ȱ¿ëÇÏ¿© Áö¼Ó°¡´É¼º°ú ȸº¹·ÂÀ» Çâ»ó½ÃŰ´Â µ¥ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù.

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½ÃÀå ¼ºÀåÀÇ ÁÖ¿ä ¿äÀÎÀº AI¿Í ¸Ó½Å·¯´×ÀÇ ±â¼ú ¹ßÀü, IoT ¼¾¼­ ±â¼úÀÇ ¹ßÀü, ȯ°æ ¹®Á¦¿¡ ´ëÇÑ Àνİú ±ÔÁ¦ ¾Ð·Â Áõ°¡·Î ÀÎÇÑ °ÍÀÔ´Ï´Ù. Á¤ºÎ¿Í »ê¾÷°è°¡ ź¼Ò Á߸³À» Ãß±¸Çϸ鼭 È¿À²ÀûÀÎ ÀÚ¿ø °ü¸®¿Í ¹èÃâ·® °¨ÃàÀ» À§ÇÑ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. »õ·Î¿î ºñÁî´Ï½º ±âȸ´Â ½º¸¶Æ® ½ÃƼ, Á¤¹Ð ³ó¾÷, ÷´Ü ȯ°æ ¸ð´ÏÅ͸µ ½Ã½ºÅÛ °³¹ß¿¡¼­ ãÀ» ¼ö ÀÖ½À´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¿¡ ´ëÇÑ ¿ì·Á, ³ôÀº ÀÎÇÁ¶ó ±¸Ãà ºñ¿ë, ÀÌÁ¾ µ¥ÀÌÅÍ ¼Ò½ºÀÇ ÅëÇÕ µîÀÇ ¹®Á¦°¡ ¼ºÀåÀ» °¡·Î¸·°í ÀÖ½À´Ï´Ù. ½ÇÁúÀûÀÎ µ¥ÀÌÅÍ ºÐ¼® ´É·Â°ú IoT ÀÎÇÁ¶óÀÇ °áÇÕÀº ƯÈ÷ ´Ù¾çÇÑ ÃÖÁ¾ »ç¿ëÀÚ¸¦ À§ÇÑ È®Àå °¡´ÉÇÏ°í ºñ¿ë È¿À²ÀûÀÎ ¼Ö·ç¼ÇÀ» °³¹ßÇÏ´Â µ¥ ÀÖ¾î ÀÌ»óÀûÀÎ Çõ½ÅÀÇ ¿µ¿ªÀ¸·Î ¶°¿À¸£°í ÀÖ½À´Ï´Ù.

Àü·«ÀûÀ¸·Î ±â¾÷Àº µ¥ÀÌÅÍ Á¤È®µµ¿Í ¿¹Ãø ´É·Â Çâ»ó¿¡ ÁßÁ¡À» µÎ°í, ¼­·Î ´Ù¸¥ ½Ã½ºÅÛ °£ÀÇ ¿øÈ°ÇÑ ÅëÇÕÀ» ÃËÁøÇÏ´Â »óÈ£ ¿î¿ë °¡´ÉÇÑ Ç÷§ÆûÀ» ±¸ÃàÇÏ´Â µ¥ ÁýÁßÇØ¾ß ÇÕ´Ï´Ù. ¶ÇÇÑ, ±â¼ú Á¦°ø¾÷ü, ¿¬±¸±â°ü, Á¤ºÎ °£ÀÇ ÆÄÆ®³Ê½ÊÀº ÇöÀçÀÇ ÇѰ踦 ±Øº¹ÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ¶ÇÇÑ, µ¥ÀÌÅÍ º¸¾È°ú ÇÁ¶óÀ̹ö½Ã ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ Ç¥ÁØÈ­µÈ ÇÁ·¹ÀÓ¿öÅ©¸¦ °³¹ßÇÏ¸é »ç¿ëÀÚ ½Å·Ú¿Í äÅ÷üÀ» ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù. Àü¹ÝÀûÀ¸·Î, ÀÌ ½ÃÀåÀÇ Çõ½ÅÀû Á¤½Å°ú °¢ ºÐ¾ß¿¡ ´ëÇÑ Çõ½ÅÀûÀÎ ¿µÇâ·ÂÀº ¹Ì·¡ÀÇ ¼ºÀå°ú °³Ã´À» À§ÇÑ ¸Å·ÂÀûÀÎ ¹«´ë°¡ µÉ °ÍÀÔ´Ï´Ù.

½ÃÀå ¿ªÇÐ: ºü¸£°Ô ÁøÈ­ÇÏ´Â ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ®¸¦ °ø°³ÇÕ´Ï´Ù.

ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ÀÛ¿ëÀ» ÅëÇØ º¯È­Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½ÃÀå ¿ªÇÐÀÇ ÁøÈ­¸¦ ÀÌÇØÇÔÀ¸·Î½á ±â¾÷Àº Á¤º¸¿¡ ÀÔ°¢ÇÑ ÅõÀÚ °áÁ¤, Àü·«Àû ÀÇ»ç°áÁ¤, »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Æ÷ÂøÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Æ®·»µå¸¦ Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á ±â¾÷Àº Á¤Ä¡Àû, Áö¸®Àû, ±â¼úÀû, »çȸÀû, °æÁ¦Àû ¿µ¿ª¿¡ °ÉÄ£ ´Ù¾çÇÑ ¸®½ºÅ©¸¦ ¿ÏÈ­Çϰí, ¼ÒºñÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ë ¹× ±¸¸Å µ¿Çâ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» º¸´Ù ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

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Portre's Five Forces: ºòµ¥ÀÌÅÍ, IoT, ±âÈÄ º¯È­ ½ÃÀå °ø·«À» À§ÇÑ Àü·« µµ±¸

Portre's Five Forces ÇÁ·¹ÀÓ¿öÅ©´Â ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå °æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â µ¥ Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. Portre's Five Forces ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÇ °æÀï·ÂÀ» Æò°¡Çϰí Àü·«Àû ±âȸ¸¦ Ž»öÇÒ ¼ö ÀÖ´Â ¸íÈ®ÇÑ ¹æ¹ýÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÌ ½ÃÀå ³» ¼¼·Âµµ¸¦ Æò°¡ÇÏ°í ½Å±Ô »ç¾÷ÀÇ ¼öÀͼºÀ» ÆÇ´ÜÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÀÌ·¯ÇÑ ÅëÂû·ÂÀ» ÅëÇØ ±â¾÷Àº °­Á¡À» Ȱ¿ëÇϰí, ¾àÁ¡À» ÇØ°áÇϰí, ÀáÀçÀûÀÎ µµÀüÀ» ÇÇÇϰí, º¸´Ù °­·ÂÇÑ ½ÃÀå Æ÷Áö¼Å´×À» È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­ÀÇ ¿ÜºÎ ¿µÇâ ÆÄ¾Ç

PESTLE ºÐ¼® : ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­ÀÇ ¿ÜºÎ ¿µÇâ ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Á¤Ä¡Àû, °æÁ¦Àû, »çȸÀû, ±â¼úÀû, ¹ýÀû, ȯ°æÀû ¿äÀο¡ ´ëÇÑ ºÐ¼®Àº ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ Á¦°øÇϸç, PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀûÀÎ À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ºÐ¼®À» ÅëÇØ ±â¾÷Àº ±ÔÁ¦, ¼ÒºñÀÚ ¼±È£µµ, °æÁ¦ µ¿ÇâÀÇ º¯È­¸¦ ¿¹ÃøÇÏ°í ¼±Á¦ÀûÀÌ°í ´Éµ¿ÀûÀÎ ÀÇ»ç°áÁ¤À» ³»¸± Áغñ¸¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­°æÀï ±¸µµ ÆÄ¾Ç

ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ º¥´õÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¼öÀÍ, °í°´ ±â¹Ý, ¼ºÀå·ü µî ÁÖ¿ä ÁöÇ¥¸¦ ºñ±³ÇÏ¿© °æÀïÀû Æ÷Áö¼Å´×À» ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®Àº ½ÃÀåÀÇ ÁýÁßÈ­, ´ÜÆíÈ­, ÅëÇÕÀÇ Ãß¼¼¸¦ ÆÄ¾ÇÇÒ ¼ö ÀÖÀ¸¸ç, °ø±Þ¾÷ü´Â Ä¡¿­ÇÑ °æÀï ¼Ó¿¡¼­ ÀÚ½ÅÀÇ ÀÔÁö¸¦ °­È­ÇÒ ¼ö ÀÖ´Â Àü·«Àû ÀÇ»ç°áÁ¤À» ³»¸®´Â µ¥ ÇÊ¿äÇÑ ÅëÂû·ÂÀ» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­ÀÇ º¥´õ ¼º°ú Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­ º¥´õ¸¦ Æò°¡ÇÒ ¼ö ÀÖ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÀÌ ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº º¥´õÀÇ ºñÁî´Ï½º Àü·«°ú Á¦Ç° ¸¸Á·µµ¸¦ ±â¹ÝÀ¸·Î Æò°¡ÇÏ¿© ¸ñÇ¥¿¡ ºÎÇÕÇÏ´Â Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖÀ¸¸ç, 4°³ÀÇ »çºÐ¸éÀ¸·Î º¥´õ¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ¼¼ºÐÈ­ÇÏ¿© Àü·« ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê¿Í ¼Ö·ç¼ÇÀ» ½Äº°ÇÒ ¼ö ÀÖ½À´Ï´Ù. Àü·« ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê¿Í ¼Ö·ç¼ÇÀ» ½Äº°ÇÒ ¼ö ÀÖ½À´Ï´Ù.

ºòµ¥ÀÌÅ͸¦ ÅëÇÑ Àü·« ºÐ¼® ¹× Ãßõ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀå¿¡¼­ ¼º°øÀÇ ±æÀ» ±×¸®´Ù.

ºòµ¥ÀÌÅÍ, IoT ¹× ±âÈÄ º¯È­ ½ÃÀåÀÇ Àü·«Àû ºÐ¼®Àº ¼¼°è ½ÃÀå¿¡¼­ÀÇ ÀÔÁö¸¦ °­È­ÇϰíÀÚ ÇÏ´Â ±â¾÷¿¡°Ô ÇʼöÀûÀÔ´Ï´Ù. ÁÖ¿ä ÀÚ¿ø, ¿ª·® ¹× ¼º°ú ÁöÇ¥¸¦ °ËÅäÇÔÀ¸·Î½á ±â¾÷Àº ¼ºÀå ±âȸ¸¦ ½Äº°ÇÏ°í °³¼±ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀº °æÀï ȯ°æÀÇ µµÀüÀ» ±Øº¹ÇÏ°í »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Ȱ¿ëÇÏ¿© Àå±âÀûÀÎ ¼º°øÀ» °ÅµÑ ¼ö Àִ ü°è¸¦ ±¸ÃàÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù.

ÀÌ º¸°í¼­´Â ÁÖ¿ä °ü½É ºÐ¾ß¸¦ Æ÷°ýÇÏ´Â ½ÃÀå¿¡ ´ëÇÑ Á¾ÇÕÀûÀÎ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

1. ½ÃÀå ħÅõµµ : ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·Â Æò°¡.

2. ½ÃÀå °³Ã´µµ: ½ÅÈï ½ÃÀå¿¡¼­ÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇϰí, ±âÁ¸ ºÐ¾ßÀÇ È®Àå °¡´É¼ºÀ» Æò°¡Çϸç, ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» Á¦°øÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù°¢È­ : ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, ¾÷°èÀÇ ÁÖ¿ä ¹ßÀü, ½ÃÀåÀ» Çü¼ºÇÏ´Â Àü·«Àû ÅõÀÚ¸¦ ºÐ¼®ÇÕ´Ï´Ù.

4. °æÀï Æò°¡ ¹× Á¤º¸ : °æÀï ±¸µµ¸¦ öÀúÈ÷ ºÐ¼®ÇÏ¿© ½ÃÀå Á¡À¯À², »ç¾÷ Àü·«, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÀÎÁõ, ±ÔÁ¦ ´ç±¹ÀÇ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú ¹ßÀü µîÀ» °ËÅäÇÕ´Ï´Ù.

5. Á¦Ç° °³¹ß ¹× Çõ½Å : ¹Ì·¡ ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ÷´Ü ±â¼ú, ¿¬±¸ °³¹ß Ȱµ¿ ¹× Á¦Ç° Çõ½ÅÀ» °­Á¶ÇÕ´Ï´Ù.

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2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, ºÎ¹®, Áö¿ªÀº?

3. ½ÃÀåÀ» Çü¼ºÇÏ´Â ÁÖ¿ä ±â¼ú µ¿Çâ°ú ±ÔÁ¦ÀÇ ¿µÇâÀº?

4. ÁÖ¿ä º¥´õÀÇ ½ÃÀå Á¡À¯À²°ú °æÀï Æ÷Áö¼ÇÀº?

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  • Alteryx, Inc.
  • Dell Technologies Inc.
  • DXC Technology Company
  • Dynamhex
  • foldAI
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Splunk Inc.
  • Tomorrow
  • Trimble Inc.
  • Xacmaz Technology Pvt. Ltd.
LSH 24.11.13

The Big Data, IoT & Climate Change Market was valued at USD 189.73 million in 2023, expected to reach USD 202.06 million in 2024, and is projected to grow at a CAGR of 6.59%, to USD 296.64 million by 2030.

Big Data and IoT in the context of climate change form a critical nexus that aids in understanding, monitoring, and mitigating environmental impacts. This intersection allows for the collection, analysis, and application of vast datasets derived from various sources, including weather stations, satellite imagery, and sensors. The necessity of leveraging Big Data and IoT is underscored by the urgent need to combat climate change through more precise modeling, real-time monitoring, and predictive analytics that generate actionable insights. Key applications include weather forecasting, optimizing resource consumption, managing renewable energy grids, and enhancing disaster response efforts. End-use sectors span across agriculture, energy, transportation, urban planning, and environmental conservation, each utilizing data-driven insights to enhance sustainability and resilience.

KEY MARKET STATISTICS
Base Year [2023] USD 189.73 million
Estimated Year [2024] USD 202.06 million
Forecast Year [2030] USD 296.64 million
CAGR (%) 6.59%

Market growth is primarily driven by technological advancements in AI and machine learning, advancements in IoT sensor technology, and increasing awareness and regulatory pressure on environmental issues. As governments and industries strive for carbon neutrality, there is a growing demand for solutions that can deliver efficient resource management and reduce emissions. Emerging opportunities lie in the development of smart cities, precision farming, and sophisticated environmental monitoring systems. However, challenges such as data privacy concerns, high costs of infrastructure deployment, and the integration of disparate data sources impede growth. The convergence of substantial data analytics capabilities with IoT infrastructure presents an ideal area for innovation, particularly in developing scalable and cost-effective solutions for diverse end-users.

Strategically, businesses should focus on creating interoperable platforms that facilitate seamless integration across different systems, emphasizing improved data accuracy and predictive capabilities. Furthermore, partnerships between technology providers, research institutions, and governments will be crucial to overcoming current limitations. There's also potential in developing standardized frameworks to address data security and privacy concerns, which would increase user trust and adoption rates. Overall, the market's innovative spirit and its transformative impact on sectors make it a compelling arena for future growth and development.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Big Data, IoT & Climate Change Market

The Big Data, IoT & Climate Change Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing demand for faster growth, higher revenue, and improved customer service
    • Rising need for fraud detection particularly in the financial services industry
    • Surge in the demand for IoT in manufacturing and government sector
  • Market Restraints
    • Lack of availability of data scientists and big data experts, the most highly coveted and highly paid workers in the IT field
    • Need to address data quality issues and compliance with government regulations
    • Rising concerns of data security
  • Market Opportunities
    • Growth in retail and e-commerce sector
    • Technological advancement and increasing investment in data analytics
  • Market Challenges
    • Lack of IT infrastructure necessary to support data analytics initiatives
    • Rapid change and upgradation of technology

Porter's Five Forces: A Strategic Tool for Navigating the Big Data, IoT & Climate Change Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Big Data, IoT & Climate Change Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Big Data, IoT & Climate Change Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Big Data, IoT & Climate Change Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Big Data, IoT & Climate Change Market

A detailed market share analysis in the Big Data, IoT & Climate Change Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Big Data, IoT & Climate Change Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Big Data, IoT & Climate Change Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Big Data, IoT & Climate Change Market

A strategic analysis of the Big Data, IoT & Climate Change Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Big Data, IoT & Climate Change Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Dell Technologies Inc., DXC Technology Company, Dynamhex, foldAI, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Splunk Inc., Tomorrow, Trimble Inc., and Xacmaz Technology Pvt. Ltd..

Market Segmentation & Coverage

This research report categorizes the Big Data, IoT & Climate Change Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Component, market is studied across Data Cleaning & Aggregation, Data Collection Services, Data Integration, and IoT Platform. The IoT Platform is further studied across Advanced Analytics Platforms, Application Enablement Platforms, Connectivity Platforms, Data Storage Platforms, and Device Management Platforms.
  • Based on Field, market is studied across Climate Services, Disaster Risk Reduction, Early Warning Systems, Energy Efficiency & Intelligence, Natural Disaster & Disease Assessment, Smart Farming Agriculture & Forestry, and Sustainable Urban Planning & Infrastructure.
  • Based on Data Collection Medium, market is studied across Camera System, Condition Monitoring, Digital Combat Simulator, Industrial Robotics, Networking Technology, RFID, Sensor, and Smart Meter.
  • Based on Deployment, market is studied across On-Cloud and On-Premise.
  • Based on Application, market is studied across Early Warning, Monitoring & Evaluation, and Vulnerability Assessment.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing demand for faster growth, higher revenue, and improved customer service
      • 5.1.1.2. Rising need for fraud detection particularly in the financial services industry
      • 5.1.1.3. Surge in the demand for IoT in manufacturing and government sector
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of availability of data scientists and big data experts, the most highly coveted and highly paid workers in the IT field
      • 5.1.2.2. Need to address data quality issues and compliance with government regulations
      • 5.1.2.3. Rising concerns of data security
    • 5.1.3. Opportunities
      • 5.1.3.1. Growth in retail and e-commerce sector
      • 5.1.3.2. Technological advancement and increasing investment in data analytics
    • 5.1.4. Challenges
      • 5.1.4.1. Lack of IT infrastructure necessary to support data analytics initiatives
      • 5.1.4.2. Rapid change and upgradation of technology
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Big Data, IoT & Climate Change Market, by Component

  • 6.1. Introduction
  • 6.2. Data Cleaning & Aggregation
  • 6.3. Data Collection Services
  • 6.4. Data Integration
  • 6.5. IoT Platform
    • 6.5.1. Advanced Analytics Platforms
    • 6.5.2. Application Enablement Platforms
    • 6.5.3. Connectivity Platforms
    • 6.5.4. Data Storage Platforms
    • 6.5.5. Device Management Platforms

7. Big Data, IoT & Climate Change Market, by Field

  • 7.1. Introduction
  • 7.2. Climate Services
  • 7.3. Disaster Risk Reduction
  • 7.4. Early Warning Systems
  • 7.5. Energy Efficiency & Intelligence
  • 7.6. Natural Disaster & Disease Assessment
  • 7.7. Smart Farming Agriculture & Forestry
  • 7.8. Sustainable Urban Planning & Infrastructure

8. Big Data, IoT & Climate Change Market, by Data Collection Medium

  • 8.1. Introduction
  • 8.2. Camera System
  • 8.3. Condition Monitoring
  • 8.4. Digital Combat Simulator
  • 8.5. Industrial Robotics
  • 8.6. Networking Technology
  • 8.7. RFID
  • 8.8. Sensor
  • 8.9. Smart Meter

9. Big Data, IoT & Climate Change Market, by Deployment

  • 9.1. Introduction
  • 9.2. On-Cloud
  • 9.3. On-Premise

10. Big Data, IoT & Climate Change Market, by Application

  • 10.1. Introduction
  • 10.2. Early Warning
  • 10.3. Monitoring & Evaluation
  • 10.4. Vulnerability Assessment

11. Americas Big Data, IoT & Climate Change Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Big Data, IoT & Climate Change Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Big Data, IoT & Climate Change Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2023
  • 14.2. FPNV Positioning Matrix, 2023
  • 14.3. Competitive Scenario Analysis
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Alteryx, Inc.
  • 2. Dell Technologies Inc.
  • 3. DXC Technology Company
  • 4. Dynamhex
  • 5. foldAI
  • 6. Hewlett Packard Enterprise Development LP
  • 7. International Business Machines Corporation
  • 8. Microsoft Corporation
  • 9. Oracle Corporation
  • 10. SAP SE
  • 11. Splunk Inc.
  • 12. Tomorrow
  • 13. Trimble Inc.
  • 14. Xacmaz Technology Pvt. Ltd.
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