½ÃÀ庸°í¼­
»óǰÄÚµå
1602092

¼¼°èÀÇ ½º¸¶Æ® Á¦Á¶ ½ÃÀå : ±â¼ú, ÄÄÆ÷³ÍÆ®, ÃÖÁ¾ »ç¿ëÀÚº° ¿¹Ãø(2025-2030³â)

Smart Manufacturing Market by Technology (3D Printing, Discrete Control Systems, Enterprise Resource Planning), Component (Hardware, Services, Software), End User - Global Forecast 2025-2030

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: 360iResearch | ÆäÀÌÁö Á¤º¸: ¿µ¹® 184 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡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.

½º¸¶Æ® Á¦Á¶ ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 2,070¾ï 2,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. 2024³â¿¡´Â 2,265¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, CAGR 13.14%·Î ¼ºÀåÇØ 2030³â¿¡´Â 4,914¾ï ´Þ·¯¿¡ ´ÞÇÑ´Ù°í ¿¹ÃøµË´Ï´Ù.

½º¸¶Æ® Á¦Á¶Àº IoT, AI, ·Îº¸Æ½½º µîÀÇ ¼±Áø ±â¼úÀ» ±âÁ¸ÀÇ Á¦Á¶ °øÁ¤¿¡ ÅëÇÕÇÏ´Â º¯ÇõÀû Á¢±Ù ¹æ½ÄÀ¸·Î ¾÷¹« ÃÖÀûÈ­, »ý»ê¼º Çâ»ó, »ý»ê ¿öÅ©Ç÷οìÀÇ ÇÕ¸®È­¸¦ ¸ñÇ¥·Î Çϰí ÀÖ½À´Ï´Ù. ½º¸¶Æ® Á¦Á¶ÀÇ Çʿ伺Àº ±Þº¯ÇÏ´Â ½ÃÀå ¿ªÇаú ¼ÒºñÀÚÀÇ ¿ä±¸¿¡ ÀûÀÀÇÒ ¼ö ÀÖ´Â È¿À²ÀûÀ̰í À¯¿¬Çϸç ÀÀ´ä¼º ÀÖ´Â Á¦Á¶ °øÁ¤¿¡ ´ëÇÑ ¼ö¿äÀÇ ±ÞÁõÀ¸·Î ÀÎÇØ ¹ß»ýÇϰí ÀÖ½À´Ï´Ù. ½º¸¶Æ® Á¦Á¶ÀÇ ¿ëµµ·Î´Â ÀÚµ¿Â÷, ÀÏ·ºÆ®·Î´Ð½º, È­ÇÐ, ¼ÒºñÀç µîÀÇ ¾÷°è Àüü ¹× ÃÖÁ¾ ¿ëµµ¿¡´Â ÇÁ·Î¼¼½º ÃÖÀûÈ­, ¿¹Ãø À¯Áöº¸¼ö, °ø±Þ¸Á °ü¸®, ǰÁú º¸Áõ µîÀÌ Æ÷ÇԵ˴ϴÙ.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁسâ(2023) 2,070¾ï 2,000¸¸ ´Þ·¯
¿¹Ãø³â(2024) 2,265¾ï ´Þ·¯
¿¹Ãø³â(2030) 4,914¾ï ´Þ·¯
CAGR(%) 13.14%

½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÏ´Â ÁÖ¿ä ¿äÀÎÀ¸·Î´Â Industry 4.0 ±â¼úÀÇ Ã¤¿ë Áõ°¡, °íÈ¿À²È­ ¿ä±¸, ´Ù¿îŸÀÓ ¹× ³¶ºñ °¨¼ÒÀÇ Çʿ伺, Á¦Á¶ ¾÷¹«ÀÇ ¼¼°èÈ­ µîÀÌ ÀÖ½À´Ï´Ù. ÃֽŠÀáÀç ±âȸ´Â ¿¹Ãø ºÐ¼®À» À§ÇÑ AI Ȱ¿ë, »óÈ£ ¿î¿ë °¡´ÉÇÑ IoT Ç÷§Æû °³¹ß, ½º¸¶Æ® °øÀåÀÇ »çÀ̹ö º¸¾È ´ëÃ¥ °­È­¿¡ ÀÖ½À´Ï´Ù. ±â¾÷Àº Áö¼Ó°¡´É¼º°ú µ¥ÀÌÅÍ Áß½ÉÀÇ ÀÇ»ç°áÁ¤¿¡ ÃÊÁ¡À» ¸ÂÃß°í »õ·Î¿î ±âȸ¸¦ Ȱ¿ëÇϱâ À§ÇØ µðÁöÅÐ Æ®À©°ú ¿¡³ÊÁö È¿À²ÀûÀÎ ½Ã½ºÅÛ¿¡ ÅõÀÚÇÏ´Â °ÍÀÌ ÁÁ½À´Ï´Ù. ½º¸¶Æ® °øÀåÀ» ÇâÇÑ ¿òÁ÷ÀÓÀº »ê¾÷È­°¡ ÁøÇàµÇ´Â °³¹ß µµ»ó Áö¿ª¿¡¼­ ´õ¿í È®´ëµÉ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

±×·¯³ª ½ÃÀåÀº Ãʱ⠼³Á¤ ºñ¿ëÀÇ ³ôÀÌ, ½Ã½ºÅÛ ÅëÇÕÀÇ º¹À⼺, µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¿¡ ´ëÇÑ ¿ì·Á, º¸±ÞÀ» ¹æÇØÇÏ´Â ±â¼ú ºÎÁ· µîÀÇ °úÁ¦¿¡ Á÷¸éÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹®Á¦¸¦ ±Øº¹ÇÏ·Á¸é ³ëµ¿·Â ½ºÅ³ ¾÷°ú Ç¥ÁØÈ­µÈ ÇÁ·ÎÅäÄÝ °³¹ß µî ¸íÈ®ÇÑ Àü·«ÀÌ ÇÊ¿äÇÕ´Ï´Ù. Çõ½ÅÀûÀÎ ºÐ¾ß·Î´Â ÀÛ¾÷ÀÚ ±³À°À» À§ÇÑ Áõ°­Çö½Ç, ÀûÀÀÇü Á¦Á¶ ½Ã½ºÅÛ °³¹ß, °ø±Þ¸Á Åõ¸í¼º Çâ»óÀ» À§ÇÑ ºí·ÏüÀÎ µîÀÌ ÀÖ½À´Ï´Ù.

¼³¹®Á¶»ç´Â ¿¡Áö ÄÄÇ»ÆÃ ´É·ÂÀÇ Çâ»ó°ú ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¸¦ À§ÇÑ ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀÇ °­È­¿¡ ÁÖÀÇÇØ¾ß ÇÕ´Ï´Ù. ÀÌ ½ÃÀåÀÇ Æ¯¼ºÀº ¸Å¿ì ¿ªµ¿ÀûÀÌ°í °æÀïÀûÀ̱⠶§¹®¿¡ ±â¾÷Àº µµ±¸ °³¹ß, È®À强 È®º¸ ¹× ¿î¿µ À¯¿¬¼ºÀ» À§ÇØ °øµ¿ ¿¬±¸¿Í ¿ÀǼҽº Á¢±Ù¹ýÀ» äÅÃÇØ¾ß ÇÕ´Ï´Ù. ÇÏÀÌÅ×Å© ±â¾÷°úÀÇ ÆÄÆ®³Ê½ÊÀ» ¸ð»öÇÔÀ¸·Î½á Çõ½ÅÀûÀÎ ¼Ö·ç¼Ç °³¹ßÀ» ÃËÁøÇϰí Àå±âÀûÀÎ ºñÁî´Ï½º ¼ºÀåÀ» °¡¼ÓÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ: ºü¸£°Ô ÁøÈ­ÇÏ´Â ½º¸¶Æ® Á¦Á¶ ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ® °ø°³

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

  • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
    • ¼¼°è°æÁ¦¿¡ À־ÀÇ Àδõ½ºÆ®¸® 4.0ÀÇ Ã¤¿ë È®´ë
    • »ê¾÷ ÀÚµ¿È­¿¡ ´ëÇÑ Á¤ºÎ Áö¿ø Áõ°¡
    • ·Îº¸Æ½ ÇÁ·Î¼¼½º ¿ÀÅä¸ÞÀ̼Ç(RPA)ÀÇ ÅëÇÕ Áõ°¡
  • ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ
    • µµÀÔ¿¡ µû¸¥ º¹À⼺ ½º¸¶Æ® Á¦Á¶ Å×Å©³î·ÎÁö
  • ½ÃÀå ±âȸ
    • Á¦Á¶ ¿ÀÆÛ·¹À̼ÇÀÇ °ü¸®¿Í ÄÚº¿ÀÇ µµÀÔÀ» À§ÇÑ »õ·Î¿î ±â¼ú
    • ½º¸¶Æ® ÆÑÅ丮 »ç¾÷¿¡ ´ëÇÑ ÅõÀÚ ±ÞÁõ
  • ½ÃÀåÀÇ °úÁ¦
    • ½º¸¶Æ® Á¦Á¶ ±â¼ú°ú °ü·ÃµÈ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È ¿ì·Á

Porter's Five Forces: ½º¸¶Æ® Á¦Á¶ ½ÃÀåÀ» Ž»öÇÏ´Â Àü·« µµ±¸

Porter's Five Forces ÇÁ·¹ÀÓ¿öÅ©´Â ½º¸¶Æ® Á¦Á¶ ½ÃÀå °æÀï ±¸µµ¸¦ ÀÌÇØÇϱâ À§ÇÑ Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. 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. ´õ °­ÀÎÇÑ ½ÃÀå¿¡¼­ Æ÷Áö¼Å´×À» º¸Àå ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : ½º¸¶Æ® Á¦Á¶ ½ÃÀå¿¡¼­ ¿ÜºÎ·ÎºÎÅÍÀÇ ¿µÇâ ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº ½º¸¶Æ® Á¦Á¶ ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇϴµ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù. PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀûÀÎ À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ±×¸®°í ¾ÕÀ» ³»´Ùº¸°í Àû±ØÀûÀÎ ÀÇ»ç °áÁ¤À» ÇÒ Áغñ°¡ µË´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® : ½º¸¶Æ® Á¦Á¶ ½ÃÀå °æÀï ±¸µµ ÆÄ¾Ç

½º¸¶Æ® Á¦Á¶ ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ °ø±Þ¾÷üÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ ½ÃÀåÀÇ ÁýÁß, ´ÜÆíÈ­, ÅëÇÕ µ¿ÇâÀ» ¹àÇô³»°í, º¥´õ´Â °æÀïÀÌ °ÝÈ­ÇÏ´Â °¡¿îµ¥ ÀÚ½ÅÀÇ ÁöÀ§¸¦ ³ôÀÌ´Â Àü·«Àû ÀÇ»ç°áÁ¤À» Çϱâ À§Çؼ­ ÇÊ¿äÇÑ Áö½ÄÀ» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º : ½º¸¶Æ® Á¦Á¶ ½ÃÀå¿¡¼­ °ø±Þ¾÷üÀÇ ¼º´É Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â ½º¸¶Æ® Á¦Á¶ ½ÃÀå¿¡¼­ º¥´õ¸¦ Æò°¡ÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. Á¤º¸¸¦ ±â¹ÝÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù. ³× °¡Áö »çºÐ¸éÀº °ø±Þ¾÷ü¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ±¸ºÐÇÏ¿© »ç¿ëÀÚ°¡ Àü·« ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê ¹× ¼Ö·ç¼ÇÀ» ½Äº°ÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù.

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

1. ½ÃÀå ħÅõ: ¾÷°è ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅ͸¦ Æ÷ÇÔÇÑ ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä.

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¡?

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ½ÃÀå °³¿ä

Á¦5Àå ½ÃÀå ÀλçÀÌÆ®

  • ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀÎ
      • ¼¼°è °æÁ¦¿¡¼­ Industry 4.0 µµÀÔ È®´ë
      • Á¤ºÎ¿¡ ÀÇÇÑ »ê¾÷ ÀÚµ¿È­¿¡ ´ëÇÑ Áö¿ø °­È­
      • ·Îº¸Æ½ ÇÁ·Î¼¼½º ÀÚµ¿È­(RPA)ÀÇ ÅëÇÕ Áõ°¡
    • ¾ïÁ¦¿äÀÎ
      • ½º¸¶Æ® Á¦Á¶ Å×Å©³î·ÎÁö µµÀÔ¿¡ µû¸¥ º¹À⼺
    • ±âȸ
      • Á¦Á¶¾÷¹«°ü¸®¿Í Çùµ¿·Îº¿ ¼Ò°³¸¦ À§ÇÑ ½Å±â¼ú
      • ½º¸¶Æ® ÆÑÅ丮 ÇÁ·ÎÁ§Æ® ÅõÀÚ ±ÞÁõ
    • °úÁ¦
      • ½º¸¶Æ® Á¦Á¶ ±â¼ú°ú °ü·ÃµÈ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È ¿ì·Á
  • ½ÃÀå ¼¼ºÐÈ­ ºÐ¼®
    • ±â¼ú : °³º° ºÎǰÀÇ »ý»êÀ» °ü¸®¡¤Á¦¾îÇϱâ À§ÇÑ °³º° Á¦¾î ½Ã½ºÅÛÀÇ È°¿ëÀÌ ±ÞÁõ
    • ÃÖÁ¾ »ç¿ëÀÚ : ÀÚµ¿Â÷ ¾÷°è¿¡¼­ ½º¸¶Æ® Á¦Á¶ ä¿ëÀÇ ÁøÈ­
  • Porter's Five Forces ºÐ¼®
  • PESTEL ºÐ¼®
    • Á¤Ä¡Àû
    • °æÁ¦
    • »ç±³
    • ±â¼úÀû
    • ¹ý·ü»ó
    • ȯ°æ

Á¦6Àå ½º¸¶Æ® Á¦Á¶ ½ÃÀå : ±â¼úº°

  • 3D ÇÁ¸°ÆÃ
  • ÀÌ»ê Á¦¾î ½Ã½ºÅÛ
  • Àü»çÀû ÀÚ¿ø °èȹ
  • ÈÞ¸Õ ¸Ó½Å ÀÎÅÍÆäÀ̽º
  • ±â°è ½ÇÇà ½Ã½ºÅÛ
  • ¸Ó½Å ºñÀü
  • Ç÷£Æ® ÀÚ»ê °ü¸®
  • Á¦Ç° ¼ö¸íÁֱ⠰ü¸®
  • ÇÁ·Î±×·¡¸Óºí ·ÎÁ÷ ÄÁÆ®·Ñ·¯
  • SCADA

Á¦7Àå ½º¸¶Æ® Á¦Á¶ ½ÃÀå : ÄÄÆ÷³ÍÆ®º°

  • Çϵå¿þ¾î
  • ¼­ºñ½º
  • ¼ÒÇÁÆ®¿þ¾î

Á¦8Àå ½º¸¶Æ® Á¦Á¶ ½ÃÀå : ÃÖÁ¾ »ç¿ëÀÚº°

  • Ç×°ø¿ìÁÖ ¹× ¹æ¾î
  • ³ó¾÷
  • ÀÚµ¿Â÷
  • È­ÇС¤Àç·á
  • À½½Ä
  • ±¤¾÷
  • ¼®À¯ ¹× °¡½º
  • Á¦¾à
  • ¹ÝµµÃ¼

Á¦9Àå ¾Æ¸Þ¸®Ä« ½º¸¶Æ® Á¦Á¶ ½ÃÀå

  • ¾Æ¸£ÇîÆ¼³ª
  • ºê¶óÁú
  • ij³ª´Ù
  • ¸ß½ÃÄÚ
  • ¹Ì±¹

Á¦10Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ½º¸¶Æ® Á¦Á¶ ½ÃÀå

  • È£ÁÖ
  • Áß±¹
  • Àεµ
  • Àεµ³×½Ã¾Æ
  • ÀϺ»
  • ¸»·¹À̽þÆ
  • Çʸ®ÇÉ
  • ½Ì°¡Æ÷¸£
  • Çѱ¹
  • ´ë¸¸
  • ű¹
  • º£Æ®³²

Á¦11Àå À¯·´¡¤Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ ½º¸¶Æ®¡¤Á¦Á¶ ½ÃÀå

  • µ§¸¶Å©
  • ÀÌÁýÆ®
  • Çɶõµå
  • ÇÁ¶û½º
  • µ¶ÀÏ
  • À̽º¶ó¿¤
  • ÀÌÅ»¸®¾Æ
  • ³×´ú¶õµå
  • ³ªÀÌÁö¸®¾Æ
  • ³ë¸£¿þÀÌ
  • Æú¶õµå
  • īŸ¸£
  • ·¯½Ã¾Æ
  • »ç¿ìµð¾Æ¶óºñ¾Æ
  • ³²¾ÆÇÁ¸®Ä«
  • ½ºÆäÀÎ
  • ½º¿þµ§
  • ½ºÀ§½º
  • ÅÍŰ
  • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
  • ¿µ±¹

Á¦12Àå °æÀï ±¸µµ

  • ½ÃÀå Á¡À¯À² ºÐ¼®, 2023³â
  • FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º, 2023³â
  • °æÀï ½Ã³ª¸®¿À ºÐ¼®
    • RIC Technology, ½ÅÇü ÀÚµ¿ ·Îº¿ ¾Ï ±¸Ãà 3D ÇÁ¸°Å͸¦ ¹ß¸Å
    • Mitsubishi Corporation, Á¦Á¶¾÷ÀÇ µðÁöÅÐ ÀüȯÀ» ÃßÁøÇϱâ À§ÇØ ThinkIQ¿¡ ÃâÀÚ
    • ABBÀÇ ½º¸¶Æ® ·Îº¿ ÀÚµ¿È­ ¼Ö·ç¼ÇÀÌ Volvo CarsÀÇ Áö¼Ó°¡´É¼º ¸ñÇ¥¸¦ Áö¿ø

±â¾÷ ¸ñ·Ï

  • Yokogawa Electric Corporation
  • Schneider Electric SE
  • Progress Software Corporation
  • General Vision Inc.
  • Cognex Corporation
  • Nvidia Corporation
  • Mitsubishi Electric Corporation
  • Rockwell Automation, Inc.
  • Bright Machines, Inc.
  • Emerson Electric Co.
  • Stratasys Ltd.
  • Telefonaktiebolaget LM Ericsson
  • ABB Ltd.
  • Fanuc Corporation
  • Honeywell International Inc.
  • Texas Instruments Incorporated
  • Cisco Systems, Inc.
  • SparkCognition, Inc.
  • Andea Solutions Sp. z oo
  • 3D Systems Corporation
  • General Electric Company
  • Fujitsu Limited
  • Path Robotics, Inc.
  • Fruitcore Robotics GmbH
  • International Business Machines Corporation
  • Augury Inc.
  • Oracle Corporation
  • Altair Engineering, Inc.
  • Xometry Europe GmbH
  • SAP SE
  • Epicor Software Corporation
  • Siemens AG
JHS 24.12.12

The Smart Manufacturing Market was valued at USD 207.02 billion in 2023, expected to reach USD 226.50 billion in 2024, and is projected to grow at a CAGR of 13.14%, to USD 491.40 billion by 2030.

Smart manufacturing, a transformative approach integrating advanced technologies such as IoT, AI, and robotics into traditional manufacturing processes, aims to optimize operations, enhance productivity, and streamline production workflows. The necessity of smart manufacturing arises from the burgeoning demand for efficient, flexible, and responsive manufacturing processes that can adapt to rapidly changing market dynamics and consumer needs. Its application spans across industries like automotive, electronics, chemicals, and consumer goods, with an end-use scope that includes process optimization, predictive maintenance, supply chain management, and quality assurance.

KEY MARKET STATISTICS
Base Year [2023] USD 207.02 billion
Estimated Year [2024] USD 226.50 billion
Forecast Year [2030] USD 491.40 billion
CAGR (%) 13.14%

Key factors driving market growth include increasing adoption of Industry 4.0 technologies, the demand for high efficiency, the necessity for lesser downtime and waste, and the globalization of manufacturing operations. The latest potential opportunities lie in leveraging AI for predictive analytics, developing interoperable IoT platforms, and enhancing cybersecurity measures in smart factories. Businesses are recommended to invest in digital twins and energy-efficient systems to capitalize on emerging opportunities, focusing on sustainability and data-driven decision-making. The push towards smart factories is likely to expand further in developing regions as they industrialize.

However, the market faces challenges like high initial setup costs, the complexity of system integration, data privacy concerns, and skills shortages hindering widespread adoption. Overcoming these issues requires clear strategies such as upskilling workforces and developing standardized protocols. Innovation areas include augmented reality for worker training, the development of adaptive manufacturing systems, and blockchain for enhanced supply chain transparency.

Research should gravitate towards improving edge computing capabilities and enhancing machine learning algorithms for real-time data processing. The nature of this market is highly dynamic and competitive, encouraging companies to adopt collaborative and open-source approaches for tool development, ensuring scalability, and flexibility in operations. Exploring partnerships with tech companies can foster the development of innovative solutions to bolster long-term business growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Smart Manufacturing Market

The Smart Manufacturing 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
    • Growing Adoption of Industry 4.0 in Economies Worldwide
    • Increasing Government Support Industrial Automation
    • Rising Integration of Robotic Process Automation (RPA)
  • Market Restraints
    • Complexities Associated with Deployment Smart Manufacturing Technologies
  • Market Opportunities
    • Emerging Technologies for Management of Manufacturing Operations and Introduction of Cobots
    • Surging Investments in Smart Factory Projects
  • Market Challenges
    • Privacy and Security Concerns Associated with Smart Manufacturing Technologies

Porter's Five Forces: A Strategic Tool for Navigating the Smart Manufacturing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Smart Manufacturing 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 Smart Manufacturing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Smart Manufacturing 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 Smart Manufacturing Market

A detailed market share analysis in the Smart Manufacturing 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 Smart Manufacturing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Smart Manufacturing 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.

Key Company Profiles

The report delves into recent significant developments in the Smart Manufacturing Market, highlighting leading vendors and their innovative profiles. These include Yokogawa Electric Corporation, Schneider Electric SE, Progress Software Corporation, General Vision Inc., Cognex Corporation, Nvidia Corporation, Mitsubishi Electric Corporation, Rockwell Automation, Inc., Bright Machines, Inc., Emerson Electric Co., Stratasys Ltd., Telefonaktiebolaget LM Ericsson, ABB Ltd., Fanuc Corporation, Honeywell International Inc., Texas Instruments Incorporated, Cisco Systems, Inc., SparkCognition, Inc., Andea Solutions Sp. z o.o., 3D Systems Corporation, General Electric Company, Fujitsu Limited, Path Robotics, Inc., Fruitcore Robotics GmbH, International Business Machines Corporation, Augury Inc., Oracle Corporation, Altair Engineering, Inc., Xometry Europe GmbH, SAP SE, Epicor Software Corporation, and Siemens AG.

Market Segmentation & Coverage

This research report categorizes the Smart Manufacturing Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Technology, market is studied across 3D Printing, Discrete Control Systems, Enterprise Resource Planning, Human Machine Interface, Machine Execution Systems, Machine Vision, Plant Asset Management, Product Lifecycle Management, Programmable Logic Controller, and SCADA.
  • Based on Component, market is studied across Hardware, Services, and Software.
  • Based on End User, market is studied across Aerospace & Defence, Agriculture, Automotive, Chemical & Materials, Food & Beverage, Mining, Oil & Gas, Pharmaceutical, and Semiconductor.
  • 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. Growing Adoption of Industry 4.0 in Economies Worldwide
      • 5.1.1.2. Increasing Government Support Industrial Automation
      • 5.1.1.3. Rising Integration of Robotic Process Automation (RPA)
    • 5.1.2. Restraints
      • 5.1.2.1. Complexities Associated with Deployment Smart Manufacturing Technologies
    • 5.1.3. Opportunities
      • 5.1.3.1. Emerging Technologies for Management of Manufacturing Operations and Introduction of Cobots
      • 5.1.3.2. Surging Investments in Smart Factory Projects
    • 5.1.4. Challenges
      • 5.1.4.1. Privacy and Security Concerns Associated with Smart Manufacturing Technologies
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Technology: Burgeoning utilization of discrete control systems to manage and control individual parts production
    • 5.2.2. End User: Evolving adoption of smart manufacturing in automotive industry
  • 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. Smart Manufacturing Market, by Technology

  • 6.1. Introduction
  • 6.2. 3D Printing
  • 6.3. Discrete Control Systems
  • 6.4. Enterprise Resource Planning
  • 6.5. Human Machine Interface
  • 6.6. Machine Execution Systems
  • 6.7. Machine Vision
  • 6.8. Plant Asset Management
  • 6.9. Product Lifecycle Management
  • 6.10. Programmable Logic Controller
  • 6.11. SCADA

7. Smart Manufacturing Market, by Component

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

8. Smart Manufacturing Market, by End User

  • 8.1. Introduction
  • 8.2. Aerospace & Defence
  • 8.3. Agriculture
  • 8.4. Automotive
  • 8.5. Chemical & Materials
  • 8.6. Food & Beverage
  • 8.7. Mining
  • 8.8. Oil & Gas
  • 8.9. Pharmaceutical
  • 8.10. Semiconductor

9. Americas Smart Manufacturing Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Smart Manufacturing Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Smart Manufacturing Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
    • 12.3.1. RIC Technology Launches New Automated Robotic Arm Construction 3D Printer
    • 12.3.2. Mitsubishi Corporation Invests in ThinkIQ to Drive Digital Transformation for the Manufacturing Industry
    • 12.3.3. Smart Robotic Automation Solutions From ABB To Support Sustainability Targets For Volvo Cars

Companies Mentioned

  • 1. Yokogawa Electric Corporation
  • 2. Schneider Electric SE
  • 3. Progress Software Corporation
  • 4. General Vision Inc.
  • 5. Cognex Corporation
  • 6. Nvidia Corporation
  • 7. Mitsubishi Electric Corporation
  • 8. Rockwell Automation, Inc.
  • 9. Bright Machines, Inc.
  • 10. Emerson Electric Co.
  • 11. Stratasys Ltd.
  • 12. Telefonaktiebolaget LM Ericsson
  • 13. ABB Ltd.
  • 14. Fanuc Corporation
  • 15. Honeywell International Inc.
  • 16. Texas Instruments Incorporated
  • 17. Cisco Systems, Inc.
  • 18. SparkCognition, Inc.
  • 19. Andea Solutions Sp. z o.o.
  • 20. 3D Systems Corporation
  • 21. General Electric Company
  • 22. Fujitsu Limited
  • 23. Path Robotics, Inc.
  • 24. Fruitcore Robotics GmbH
  • 25. International Business Machines Corporation
  • 26. Augury Inc.
  • 27. Oracle Corporation
  • 28. Altair Engineering, Inc.
  • 29. Xometry Europe GmbH
  • 30. SAP SE
  • 31. Epicor Software Corporation
  • 32. Siemens AG
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦