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¼¼°èÀÇ IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀå : À¯Çü, ÄÄÆ÷³ÍÆ®, ¹èÄ¡, ¿ëµµº° ¿¹Ãø(2025-2030³â)

IIoT Data Collection & Device Management Platform Market by Type (Data Analysis, Data Collection, Device Management), Component (Hardware, Services, Software), Deployment, Application - Global Forecast 2025-2030

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¡á º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼ÛÀÏÁ¤Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 32¾ï 7,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. 2024³â¿¡´Â 41¾ï 6,000¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, 2030³â¿¡´Â CAGR 27.93%·Î ¼ºÀåÇØ 183¾ï 8,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

IIoT µ¥ÀÌÅÍ ¼öÁý ¹× ÀåÄ¡ °ü¸® Ç÷§ÆûÀÇ ¹üÀ§´Â IoT Áö¿ø »ê¾÷¿ë ÀåÄ¡¿¡¼­ µ¥ÀÌÅ͸¦ ¼öÁý, ó¸® ¹× °ü¸®ÇÏ´Â µ¥ »ç¿ëµÇ´Â ±â¼ú°ú ½Ã½ºÅÛÀ» Æ÷ÇÔÇÕ´Ï´Ù. ÀÌ·¯ÇÑ Ç÷§ÆûÀº Áö¼ÓÀûÀÎ µ¥ÀÌÅÍ ¸ð´ÏÅ͸µ ¹× µð¹ÙÀ̽º Á¦¾î¸¦ °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á, ¾÷¹« È¿À²ÀÇ Çâ»ó, ºñ¿ë Àý°¨, ¿¹Áö º¸ÀüÀÇ ÃËÁøÀ» ½ÇÇöÇϱâ À§ÇØ, ¸ðµç »ê¾÷ ºÐ¾ß¿¡¼­ Áß¿äÇÑ ¿ªÇÒÀ» ´ã´çÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ç÷§ÆûÀÇ Çʿ伺Àº ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸® ¹× ºÐ¼®ÀÌ Áß¿äÇÑ ¿ªÇÒÀ» ÇÏ´Â Á¦Á¶, ¿¡³ÊÁö, ¼ö¼Û, À¯Æ¿¸®Æ¼ µîÀÇ »ê¾÷¿¡¼­ IoT µð¹ÙÀ̽ºÀÇ µµÀÔÀÌ Áõ°¡ÇÏ´Â °Í¿¡ ±âÀÎÇÕ´Ï´Ù. ÁÖ¿ä ¾ÖÇø®ÄÉÀ̼ÇÀº ¿ø°Ý ¸ð´ÏÅ͸µ, ÀÚ»ê ÃßÀû, ½º¸¶Æ® ±×¸®µå °ü¸®, »ê¾÷ ÀÚµ¿È­ µîÀÌ ÀÖÀ¸¸ç Á¦Á¶ °øÀå, ¿¡³ÊÁö ȸ»ç, ¹°·ù ȸ»ç¿¡¼­ ½º¸¶Æ® ½ÃƼ ÇÁ·ÎÁ§Æ®¿¡ À̸£±â±îÁö ±¤¹üÀ§ÇÑ ÃÖÁ¾ »ç¿ëÀÚ¿¡°Ô ¼­ºñ½º¸¦ Á¦°øÇÕ´Ï´Ù. ÁÖµµÀÇ ÀÇ»ç °áÁ¤ÀÇ ±ÞÁõ¿¡ ÀÇÇØ ÃÊ·¡µË´Ï´Ù. 5G, ³×Æ®¿öÅ© Ãë¾à¼º¿¡ ´ëóÇÏ´Â »çÀ̹ö º¸¾È ¼Ö·ç¼Ç µîÀÇ ºÐ¾ß¿¡¼­´Â ÀáÀçÀûÀÎ ºñÁî´Ï½º ±âȸ°¡ Á¡Á¡ ¹àÇôÁö°í ÀÖ½À´Ï´Ù. ³ôÀº ºñ¿ë°ú ´Ù¾çÇÑ ±â¼ú »ýÅÂ°è °£ÀÇ »óÈ£ ¿î¿ë¼º ¹®Á¦¿Í °°Àº ¹®Á¦¿¡ Á÷¸é ÇØ ÀÖ½À´Ï´Ù.À̸¦ ±Øº¹Çϱâ À§ÇØ ±â¾÷Àº °ß°íÇÑ º¸¾È ÇÁ·¹ÀÓ¿öÅ©, ¿øÈ°ÇÑ ÀåÄ¡ ÅëÇÕÀ» À§ÇÑ È®Àå °¡´ÉÇÑ Ç÷§Æû, Áß¼Ò±â¾÷À» À§ÇÑ ºñ¿ë È¿À²ÀûÀÎ ¼Ö·ç¼Ç °³¹ß¿¡ ÀÖ¾î Çõ½Å¿¡ ÁÖ·ÂÇØ¾ß ÇÕ´Ï´Ù. ¶ÇÇÑ, ¿¡Áö ÄÄÇ»ÆÃ ÇÁ·¹ÀÓ¿öÅ©ÀÇ Á¶»ç´Â Áö¿¬ ¹× ´ë¿ªÆø ºñ¿ëÀ» ÁÙÀÓÀ¸·Î½á »õ·Î¿î ¼ºÀå °æ·Î¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. ½ÃÀåÀº ±Þ¼ÓÇÑ ±â¼ú Áøº¸¿Í ±ÔÁ¦ ±âÁØÀÇ ÁøÈ­¸¦ Ư¡À¸·Î ÇÏ´Â ¿ªµ¿ÀûÀΠƯ¼ºÀ» º¸¿©ÁÖ¸ç, ¹ÎøÇÑ Àü·«°ú Áö¼ÓÀûÀÎ Çõ½ÅÀÌ ÇÊ¿äÇÕ´Ï´Ù. AI, ¸Ó½Å·¯´× ¹× ¿¡Áö ÄÄÇ»ÆÃ¿¡ ÅõÀÚÇÔÀ¸·Î½á ½ÃÀå ±â¾÷Àº Ç÷§Æû ±â´ÉÀ» °­È­Çϰí ÃÖÁ¾ »ç¿ëÀÚÀÇ µ¥ÀÌÅÍ ÅëÂû·Â°ú ÀÇ»ç °áÁ¤ ÇÁ·Î¼¼½º¸¦ °³¼±ÇÒ ¼ö ÀÖ½À´Ï´Ù.

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CAGR(%) 27.93%

½ÃÀå ¿ªÇÐ: ±Þ¼ÓÈ÷ ÁøÈ­ÇÏ´Â IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ® °ø°³

IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ÀÛ¿ë¿¡ ÀÇÇØ º¯¸ð¸¦ ÀÌ·ç°í ÀÖ½À´Ï´Ù. °áÁ¤ÀÇ Á¤±³È­¿Í »õ·Î¿î ºñÁî´Ï½º ±âȸ ȹµæ ¿¡ ´ëºñÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ µ¿ÇâÀ» Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á, ±â¾÷Àº Á¤Ä¡Àû, Áö¸®Àû, ±â¼úÀû, »çȸÀû, °æÁ¦ÀûÀÎ ¿µ¿ª¿¡ °ÉÄ£ ´Ù¾çÇÑ ¸®½ºÅ©¸¦ °æ°¨ÇÒ ¼ö ÀÖÀ½°ú µ¿½Ã¿¡, ¼Òºñ ÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ë°ú ±¸¸Å µ¿Çâ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ´õ¿í ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

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    • »ê¾÷È­ÀÇ ÁøÀü°ú Á¦Á¶¾÷ÀÇ È®´ë
    • ÀÚµ¿Â÷ ¹× ¹ÝµµÃ¼ Á¦Á¶ ¾÷°è¿¡¼­ÀÇ µð¹ÙÀ̽º °ü¸® Ç÷§ÆûÀÇ Ã¤¿ë Áõ°¡
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    • IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû¿¡ ´ëÇÑ Áö¼ÓÀûÀÎ ÅõÀÚ¿Í ±â¾÷ °£ÀÇ Àü·«Àû Á¦ÈÞ
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Portre's Five Forces: IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀ» Ž»öÇÏ´Â Àü·« µµ±¸

Porter's Five Forces ÇÁ·¹ÀÓ ¿öÅ©´Â ½ÃÀå »óȲ°æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ±â¹ýÀ» Á¦°øÇÕ´Ï´Ù. ±â¾÷ÀÌ ½ÃÀå ³» ¼¼·Âµµ¸¦ Æò°¡ÇÏ°í ½Å±Ô »ç¾÷ÀÇ ¼öÀͼºÀ» ÆÇ´ÜÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ´ç½ÅÀº ´õ °­ÀÎÇÑ ½ÃÀå¿¡¼­ Æ÷Áö¼Å´×À» º¸ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀå¿¡¼­ ¿ÜºÎ·ÎºÎÅÍÀÇ ¿µÇâ ÆÄ¾Ç

¿ÜºÎ °Å½ÃÀû ȯ°æ ¿äÀÎÀº IIoT µ¥ÀÌÅÍ ¼öÁý ¹× ÀåÄ¡ °ü¸® Ç÷§Æû ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ»ÇÕ´Ï´Ù. Á¤Ä¡, °æÁ¦, »çȸ, ±â¼ú, ¹ý ¹× ȯ°æ ¿äÀÎ ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÕ´Ï´Ù. Áß¿äÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù.PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀû À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. º¯È­¸¦ ¿¹ÃøÇÏ°í ¾ÕÀ» ³»´Ùº¸°í ÀÖ´Â Àû±ØÀûÀÎ ÀÇ»ç°áÁ¤À» ÇÒ Áغñ°¡ µË´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® : IIoT µ¥ÀÌÅÍ ¼öÁý ¹× ÀåÄ¡ °ü¸® Ç÷§Æû ½ÃÀå °æÀï ±¸µµ ÆÄ¾Ç

IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ °ø±Þ¾÷üÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. °æÀï Æ÷ÁöƼºê ¼î´×À» ¹àÈú ¼ö ÀÖ½À´Ï´Ù.ÀÌ ºÐ¼®À» ÅëÇØ ½ÃÀå ÁýÁß, ´ÜÆíÈ­ ¹× ÅëÇÕ µ¿ÇâÀ» ¹àÇô³»°í º¥´õ´Â °æÀïÀÌ Ä¡¿­ ÇØÁü¿¡ µû¶ó ÀÚ»çÀÇ ÁöÀ§¸¦ ³ôÀÌ´Â Àü·«Àû ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù. ÇÊ¿äÇÑ Áö½ÄÀ» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º : IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀå¿¡¼­ °ø±Þ¾÷üÀÇ ¼º´É Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀå¿¡¼­ º¥´õ¸¦ Æò°¡ÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù.

Àü·« ºÐ¼® ¹× ±ÇÀå : IIoT µ¥ÀÌÅÍ ¼öÁý ¹× ÀåÄ¡ °ü¸® Ç÷§Æû ½ÃÀå¿¡¼­ ¼º°ø¿¡ ´ëÇÑ ±æÀ» ±×¸³´Ï´Ù.

IIoT µ¥ÀÌÅÍ ¼öÁý ¹× µð¹ÙÀ̽º °ü¸® Ç÷§Æû ½ÃÀåÀÇ Àü·« ºÐ¼®Àº ¼¼°è ½ÃÀå¿¡¼­ÀÇ ÇÁ·¹Á𽺠°­È­¸¦ ¸ñÇ¥·Î ÇÏ´Â ±â¾÷¿¡ ÇʼöÀûÀÎ ¿ä¼ÒÀÔ´Ï´Ù. ÀÌ Á¢±Ù ¹æ½ÄÀ» ÅëÇØ °æÀï ±¸µµ¿¡¼­ °úÁ¦¸¦ ±Øº¹ÇÏ°í »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Ȱ¿ëÇÏ¿© Àå±âÀûÀÎ ¼º°øÀ» °ÅµÑ ¼ö ÀÖ´Â ½Ã½ºÅÛÀ» ±¸ÃàÇÒ ¼ö ÀÖ½À´Ï´Ù.

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

1. ½ÃÀå ħÅõ: ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·Â Æò°¡.

2. ½ÃÀå °³Ã´µµ: ½ÅÈï ½ÃÀåÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í ±âÁ¸ ºÐ¾ßÀÇ È®Àå °¡´É¼ºÀ» Æò°¡ÇÏ¸ç ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» Á¦°øÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù¾çÈ­: ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, ¾÷°èÀÇ ÁÖ¿ä Áøº¸, 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±¹ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú Áøº¸ µîÀ» °ËÁõÇÕ´Ï´Ù.

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

¶ÇÇÑ ÀÌÇØ°ü°èÀÚ°¡ ÃæºÐÇÑ Á¤º¸¸¦ ¾ò°í ÀÇ»ç°áÁ¤À» ÇÒ ¼ö ÀÖµµ·Ï Áß¿äÇÑ Áú¹®¿¡ ´ë´äÇϰí ÀÖ½À´Ï´Ù.

1. ÇöÀç ½ÃÀå ±Ô¸ð¿Í ÇâÈÄ ¼ºÀå ¿¹ÃøÀº?

2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, ºÎ¹® ¹× Áö¿ªÀº ¾îµðÀԴϱî?

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?

5. º¥´õ ½ÃÀå ÁøÀÔ¡¤Ã¶¼ö Àü·«ÀÇ ¿øµ¿·ÂÀÌ µÇ´Â ¼öÀÍ¿ø°ú Àü·«Àû ±âȸ´Â ¹«¾ùÀΰ¡?

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  • Advantech Co., Ltd.
  • Aeris Communications Inc.
  • Amazon Web Services, Inc.
  • AVEVA Group Limited
  • Axiomtek Co., Ltd.
  • Brilliant Info Systems Pvt. Ltd.
  • Cisco Systems, Inc.
  • Esper.io, Inc.
  • General Electric Company
  • Huawei Cloud Computing Technologies Co., Ltd.
  • Innorobix Automation Inc.
  • International Business Machines Corporation
  • Ivanti
  • KaaIoT Technologies, LLC
  • MachineMetrics, Inc.
  • Microsoft Corporation
  • Moxa Inc.
  • Nokia Corporation
  • PTC Inc.
  • Robert Bosch GmbH
  • Rockwell Automation Inc.
  • SAP SE
  • Siemens AG
  • Software AG
  • Telit IoT Platforms, LLC
JHS 24.11.26

The IIoT Data Collection & Device Management Platform Market was valued at USD 3.27 billion in 2023, expected to reach USD 4.16 billion in 2024, and is projected to grow at a CAGR of 27.93%, to USD 18.38 billion by 2030.

The scope of IIoT Data Collection & Device Management Platforms encompasses the technologies and systems used to collect, process, and manage data from IoT-enabled industrial devices. These platforms are critical in various industrial sectors for enhancing operational efficiencies, reducing costs, and facilitating predictive maintenance by enabling continuous data monitoring and device control. The necessity for such platforms stems from the increasing adoption of IoT devices in industries like manufacturing, energy, transportation, and utilities, where real-time data processing and analytics play a vital role. Key applications include remote monitoring, asset tracking, smart grid management, and industrial automation, serving end-users ranging from manufacturing plants, energy firms, logistics companies, to smart city projects. Growth in this market is driven by the rising demand for automation, the emphasis on reducing operational downtime, and the surge in data-driven decision-making. However, potential opportunities are increasingly evident in areas such as AI integration for advanced analytics, 5G for enhanced connectivity, and cybersecurity solutions addressing network vulnerabilities. Despite these opportunities, the market faces challenges like data privacy concerns, the high cost of implementation, and interoperability issues among diverse technological ecosystems. To overcome these, businesses should focus on innovation in developing robust security frameworks, scalable platforms for seamless device integrations, and cost-effective solutions catering to small and medium enterprises. Furthermore, research on edge computing frameworks can offer new growth avenues by reducing latency and bandwidth costs. The market exhibits a dynamic nature, characterized by rapid technological advancements and evolving regulatory standards, necessitating agile strategies and continuous innovation. By investing in AI, machine learning, and edge computing, market players can enhance platform capabilities, leading to improved data insights and decision-making processes for end-users.

KEY MARKET STATISTICS
Base Year [2023] USD 3.27 billion
Estimated Year [2024] USD 4.16 billion
Forecast Year [2030] USD 18.38 billion
CAGR (%) 27.93%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving IIoT Data Collection & Device Management Platform Market

The IIoT Data Collection & Device Management Platform 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 use of IIoT data collection & device management platform to optimize operational efficiency and productivity
    • Growing industrialization and the expansion of the manufacturing sector
    • Rising adoption of device management platforms in the automotive and semiconductor manufacturing industries
  • Market Restraints
    • High cost associated with IIoT data collection & device management platforms
  • Market Opportunities
    • Technological innovation and advancement in IIoT data collection & device management platforms
    • Ongoing investment and strategic alliances among organizations in IIoT data collection & device management platforms
  • Market Challenges
    • Challenges related to cybersecurity threats

Porter's Five Forces: A Strategic Tool for Navigating the IIoT Data Collection & Device Management Platform Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the IIoT Data Collection & Device Management Platform 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 IIoT Data Collection & Device Management Platform Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the IIoT Data Collection & Device Management Platform 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 IIoT Data Collection & Device Management Platform Market

A detailed market share analysis in the IIoT Data Collection & Device Management Platform 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 IIoT Data Collection & Device Management Platform Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the IIoT Data Collection & Device Management Platform 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 IIoT Data Collection & Device Management Platform Market

A strategic analysis of the IIoT Data Collection & Device Management Platform 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 IIoT Data Collection & Device Management Platform Market, highlighting leading vendors and their innovative profiles. These include Advantech Co., Ltd., Aeris Communications Inc., Amazon Web Services, Inc., AVEVA Group Limited, Axiomtek Co., Ltd., Brilliant Info Systems Pvt. Ltd., Cisco Systems, Inc., Esper.io, Inc., General Electric Company, Huawei Cloud Computing Technologies Co., Ltd., Innorobix Automation Inc., International Business Machines Corporation, Ivanti, KaaIoT Technologies, LLC, MachineMetrics, Inc., Microsoft Corporation, Moxa Inc., Nokia Corporation, PTC Inc., Robert Bosch GmbH, Rockwell Automation Inc., SAP SE, Siemens AG, Software AG, and Telit IoT Platforms, LLC.

Market Segmentation & Coverage

This research report categorizes the IIoT Data Collection & Device Management Platform Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Type, market is studied across Data Analysis, Data Collection, Device Management, and User Interface.
  • Based on Component, market is studied across Hardware, Services, and Software.
  • Based on Deployment, market is studied across On-Cloud and On-Premises.
  • Based on Application, market is studied across Discrete Industries, Process Industries, Smart Cities, Transportation, and Utilities.
  • 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 use of IIoT data collection & device management platform to optimize operational efficiency and productivity
      • 5.1.1.2. Growing industrialization and the expansion of the manufacturing sector
      • 5.1.1.3. Rising adoption of device management platforms in the automotive and semiconductor manufacturing industries
    • 5.1.2. Restraints
      • 5.1.2.1. High cost associated with IIoT data collection & device management platforms
    • 5.1.3. Opportunities
      • 5.1.3.1. Technological innovation and advancement in IIoT data collection & device management platforms
      • 5.1.3.2. Ongoing investment and strategic alliances among organizations in IIoT data collection & device management platforms
    • 5.1.4. Challenges
      • 5.1.4.1. Challenges related to cybersecurity threats
  • 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. IIoT Data Collection & Device Management Platform Market, by Type

  • 6.1. Introduction
  • 6.2. Data Analysis
  • 6.3. Data Collection
  • 6.4. Device Management
  • 6.5. User Interface

7. IIoT Data Collection & Device Management Platform Market, by Component

  • 7.1. Introduction
  • 7.2. Hardware
  • 7.3. Services
  • 7.4. Software

8. IIoT Data Collection & Device Management Platform Market, by Deployment

  • 8.1. Introduction
  • 8.2. On-Cloud
  • 8.3. On-Premises

9. IIoT Data Collection & Device Management Platform Market, by Application

  • 9.1. Introduction
  • 9.2. Discrete Industries
  • 9.3. Process Industries
  • 9.4. Smart Cities
  • 9.5. Transportation
  • 9.6. Utilities

10. Americas IIoT Data Collection & Device Management Platform Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific IIoT Data Collection & Device Management Platform Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa IIoT Data Collection & Device Management Platform Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Advantech Co., Ltd.
  • 2. Aeris Communications Inc.
  • 3. Amazon Web Services, Inc.
  • 4. AVEVA Group Limited
  • 5. Axiomtek Co., Ltd.
  • 6. Brilliant Info Systems Pvt. Ltd.
  • 7. Cisco Systems, Inc.
  • 8. Esper.io, Inc.
  • 9. General Electric Company
  • 10. Huawei Cloud Computing Technologies Co., Ltd.
  • 11. Innorobix Automation Inc.
  • 12. International Business Machines Corporation
  • 13. Ivanti
  • 14. KaaIoT Technologies, LLC
  • 15. MachineMetrics, Inc.
  • 16. Microsoft Corporation
  • 17. Moxa Inc.
  • 18. Nokia Corporation
  • 19. PTC Inc.
  • 20. Robert Bosch GmbH
  • 21. Rockwell Automation Inc.
  • 22. SAP SE
  • 23. Siemens AG
  • 24. Software AG
  • 25. Telit IoT Platforms, LLC
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