![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1617086
ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½ÃÀå ¿¹Ãø(-2030³â) : Á¦Ç° À¯Çü, Â÷Á¾, Á¢¼Ó¼º, ¿ëµµ, ÃÖÁ¾»ç¿ëÀÚ, Áö¿ªº° ¼¼°è ºÐ¼®Automotive Remote Vehicle Diagnostic Market Forecasts to 2030 - Global Analysis By Product Type (Equipment, Software and Services), Vehicle Type (Passenger Vehicles and Commercial Vehicles), Connectivity, Application, End User and By Geography |
Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½ÃÀåÀº 2024³â¿¡ 193¾ï ´Þ·¯¸¦ Â÷ÁöÇÏ¸ç ¿¹Ãø ±â°£ Áß CAGRÀº 18.2%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 528¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸ÁÀÔ´Ï´Ù. ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´ÜÀº ¹«¼±Åë½Å ±â¼úÀ» »ç¿ëÇÏ¿© ¿ø°ÝÁö¿¡¼ Â÷·®ÀÇ °Ç° »óÅÂ¿Í ¼º´ÉÀ» ¸ð´ÏÅ͸µÇϰí Áø´ÜÇÏ´Â °ÍÀ» ¸»ÇÕ´Ï´Ù. ÀÌ ½Ã½ºÅÛÀ» ÅëÇØ ¿£Áø, º¯¼Ó±â, Àü±â ½Ã½ºÅÛ µî ´Ù¾çÇÑ Â÷·® ÄÄÆ÷³ÍÆ®¿¡ ´ëÇÑ µ¥ÀÌÅ͸¦ ½Ç½Ã°£À¸·Î ¼ºñ½º ¼¾ÅÍ ¹× Á¦Á¶¾÷ü¿¡ Àü¼ÛÇÒ ¼ö ÀÖ½À´Ï´Ù. »çÀü ¿¹¹æÀû À¯Áöº¸¼ö¸¦ °¡´ÉÇÏ°Ô Çϰí, ´Ù¿îŸÀÓÀ» ÁÙÀ̰í, ¹®Á¦°¡ ½É°¢ÇØÁö±â Àü¿¡ ¹®Á¦¸¦ ÆÄ¾ÇÇÏ¿© Â÷·®ÀÇ ½Å·Ú¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù.
ÀεµÀÚµ¿Â÷»ê¾÷Çùȸ¿¡ µû¸£¸é 2022-23³âµµ Áß´ëÇü »ó¿ëÂ÷ ÆÇ¸Å·®Àº Àü³â ´ëºñ 240,577´ë¿¡¼ 359,003´ë·Î, ¼ÒÇü »ó¿ëÂ÷´Â 475,989´ë¿¡¼ 603,465´ë·Î Áõ°¡Çß´Ù°í ÇÕ´Ï´Ù.
¿¹¹æÀû Á¤ºñ ¼ö¿ä Áõ°¡
¿¹¹æ Á¤ºñÀÇ Á߿伺¿¡ ´ëÇÑ ÀνÄÀÌ ³ô¾ÆÁö¸é¼ ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½Ã½ºÅÛ¿¡ ´ëÇÑ ¼ö¿ä°¡ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº °í°¡ÀÇ ¼ö¸®·Î ¹ßÀüÇϱâ Àü¿¡ ¹®Á¦¸¦ Á¶±â¿¡ ¹ß°ßÇÏ¿© ÀÚµ¿Â÷ÀÇ ¼ö¸íÀ» ¿¬ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¿¹¹æÀû À¯Áöº¸¼ö´Â ´Ù¿îŸÀÓÀ» ÃÖ¼ÒÈÇϰí Â÷·® ¼º´ÉÀ» Çâ»ó½ÃÄÑ Â÷·® ¼ÒÀ¯ÁÖ ¹× Â÷·® ¿î¿µ»çÀÇ ºñ¿ë Àý°¨¿¡ ±â¿©ÇÕ´Ï´Ù. ±× °á°ú, ¿ø°Ý Â÷·® Áø´Ü ½ÃÀåÀº ±â¾÷°ú ¼ÒºñÀÚ°¡ Â÷·® À¯Áöº¸¼ö °üÇàÀÇ ÃÖÀûȸ¦ Ãß±¸ÇÔ¿¡ µû¶ó °·ÂÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù.
±â¼ú ÅëÇÕÀÇ ¹®Á¦
¿ø°Ý Â÷·® Áø´Ü ½Ã½ºÅÛÀ» ±âÁ¸ ÀÚµ¿Â÷ ±â¼ú°ú ÅëÇÕÇÏ´Â µ¥´Â Å« ¾î·Á¿òÀÌ ÀÖ½À´Ï´Ù. ¸¹Àº ÀÚµ¿Â÷°¡ ¿À·¡µÈ ½Ã½ºÅÛÀ» »ç¿ëÇϰí ÀÖ°í, »õ·Î¿î Áø´Ü Åø¿ÍÀÇ È£È¯¼ºÀÌ ³·±â ¶§¹®¿¡ ÅëÇÕ ºñ¿ëÀÌ ºñ½Î°í µµÀÔ¿¡ ½Ã°£ÀÌ ¿À·¡ °É¸³´Ï´Ù. ¶ÇÇÑ ÀÚµ¿Â÷ Á¦Á¶¾÷ü¿Í ¼ºñ½º ÇÁ·Î¹ÙÀÌ´õ´Â ÀÌ·¯ÇÑ ½Ã½ºÅÛÀ» Ç¥ÁØÈÇØ¾ß ÇÏ´Â °úÁ¦¿¡ Á÷¸éÇØ ÀÖÀ¸¸ç, ÀÌ´Â º¸±ÞÀÇ À庮ÀÌ µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÅëÇÕÀÇ º¹À⼺Àº ƯÈ÷ Â÷·®ÀÌ ¿À·¡µÈ Áö¿ª¿¡¼ ½ÃÀå ¼ºÀåÀ» µÐȽÃŵ´Ï´Ù.
IoT µµÀÔ°ú ¿¬°á¼º
Â÷·®¿¡ »ç¹°ÀÎÅͳÝ(IoT)ÀÇ ±Þ¼ÓÇÑ µµÀÔ°ú ¿¬°á¼º °È´Â ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½ÃÀå¿¡ Å« ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. Â÷·®À» Ŭ¶ó¿ìµå ±â¹Ý Ç÷§Æû·Î ¿¬°áÇϸé Áø´ÜÀ» À§ÇØ ½Ç½Ã°£À¸·Î µ¥ÀÌÅ͸¦ ¼öÁýÇÏ°í ºÐ¼®ÇÒ ¼ö ÀÖÀ¸¸ç, ¹°¸®Àû Á¡°ËÀÇ Çʿ伺À» ÁÙÀÏ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿¬°á¼ºÀº º¸´Ù Á¤È®ÇÑ Áø´ÜÀ» °¡´ÉÇÏ°Ô ÇÒ »Ó¸¸ ¾Æ´Ï¶ó ¿¹Áöº¸ÀüÀ» °¡´ÉÇÏ°Ô ÇÏ¿© º¸´Ù È¿À²ÀûÀÌ°í ºñ¿ë È¿À²ÀûÀÎ Â÷·® °ü¸® Á¢±Ù ¹æ½ÄÀ» ±¸ÃàÇÏ¿© ½ÃÀåÀ» ´õ¿í ¼ºÀå½Ãų ¼ö ÀÖ½À´Ï´Ù.
º¸¾È ¿ì·Á¿¡ ´ëÇÑ ¿ì·Á
ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½ÃÀåÀÇ ÁÖ¿ä À§Çù Áß Çϳª´Â »çÀ̹ö º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ ³ô¾ÆÁö°í ÀÖ´Ù´Â Á¡ÀÔ´Ï´Ù. Â÷·®ÀÌ Á¡Á¡ ´õ ¿¬°áµÊ¿¡ µû¶ó »çÀ̹ö °ø°Ý°ú µ¥ÀÌÅÍ À¯ÃâÀÇ À§ÇèÀÌ Áõ°¡ÇÏ¿© Â÷·®ÀÇ ¾ÈÀü°ú ¼ÒºñÀÚÀÇ ÇÁ¶óÀ̹ö½Ã ¸ðµÎ¿¡ ¿µÇâÀ» ¹ÌÄ¥ ¼ö ÀÖ½À´Ï´Ù. ÇØÄ¿°¡ Â÷·®ÀÇ ±â¹Ð µ¥ÀÌÅÍ¿¡ Á¢±ÙÇϰųª Áø´Ü ½Ã½ºÅÛÀ» ±³¶õ½Ãų ¼ö ÀÖÀ¸¸ç, ÀÌ´Â ½Ã½ºÅÛ¿¡ ´ëÇÑ ½Å·Ú¸¦ ¶³¾î¶ß¸®°í º¸±ÞÀ» ¹æÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿ì·Á¸¦ ÇØ¼ÒÇÏ°í ½ÃÀå ¼ºÀåÀ» À¯ÁöÇϱâ À§Çؼ´Â °·ÂÇÑ º¸¾È ´ëÃ¥À» ¸¶·ÃÇÏ´Â °ÍÀÌ ¸Å¿ì Áß¿äÇÕ´Ï´Ù.
COVID-19 ÆÒµ¥¹ÍÀº ¼¼°è ÀÚµ¿Â÷ °ø±Þ¸ÁÀ» È¥¶õ¿¡ ºü¶ß·Á ÀÚµ¿Â÷ »ý»êÀÌ ÀϽÃÀûÀ¸·Î µÐÈµÇ¸é¼ ¿ø°Ý Â÷·® Áø´Ü ½Ã½ºÅÛ¿¡ ´ëÇÑ ¼ö¿ä¿¡ ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. ±×·¯³ª »ê¾÷°è°¡ »õ·Î¿î °Ç° ÇÁ·ÎÅäÄÝ¿¡ ÀûÀÀÇÔ¿¡ µû¶ó ½ÃÀåÀº µðÁöÅÐ ¼Ö·ç¼ÇÀ¸·Î ÀüȯÇÏ°í ¿ø°Ý Áø´ÜÀÌ ´õ ¾ÈÀüÇÑ ´ë¾ÈÀ¸·Î ¼±È£µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¯È´Â Â÷·® °ü¸®¿¡ ´ëÇÑ ÀÇÁ¸µµ Áõ°¡¿Í ÇÔ²² ½ÃÀå ȸº¹À» ÃËÁøÇϰí Àü¿°º´ ÀÌÈÄ¿¡µµ °è¼Ó È®´ëµÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
¿¹Ãø ±â°£ Áß Àåºñ ºÎ¹®ÀÌ °¡Àå Å« ºñÁßÀ» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
¿¹Ãø ±â°£ Áß Àåºñ ºÎ¹®ÀÌ ½ÃÀå Á¡À¯À²À» Àå¾ÇÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ ºÎ¹®¿¡´Â ÀÚµ¿Â÷ ±â¼úÀÚ ¹× Â÷·® ¿î¿µ °ü¸®ÀÚ°¡ ³Î¸® »ç¿ëÇÏ´Â OBD ½ºÄ³³Ê ¹× Â÷·® Áø´Ü Åø¿Í °°Àº Àåºñ°¡ Æ÷ÇԵ˴ϴÙ. Á¤È®ÇÑ ½Ç½Ã°£ Áø´Ü Àåºñ¿¡ ´ëÇÑ ³ôÀº ¼ö¿ä¿Í Áø´Ü ±â¼úÀÇ ¹ßÀüÀÌ ÀÌ ºÎ¹®ÀÇ ¼ºÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. È¿À²ÀûÀÎ Â÷·® À¯Áöº¸¼ö ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áö¼ÓÀûÀ¸·Î Áõ°¡ÇÔ¿¡ µû¶ó Àåºñ ºÎ¹®Àº ÀÚµ¿Â÷ ¿ø°Ý Áø´Ü ½ÃÀå¿¡¼ Áß¿äÇÑ À§Ä¡¸¦ Â÷ÁöÇϰí ÀÖ½À´Ï´Ù.
¿¹Ãø ±â°£ Áß °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹»óµÇ´Â Â÷·® ¿î¿µÀÚ ºÎ¹®
¿¹Ãø ±â°£ Áß °¡Àå ³ôÀº ¼ºÀå·üÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµÇ´Â ºÐ¾ß´Â Â÷·® ¿î¿µÀÚ ºÐ¾ßÀÔ´Ï´Ù. Â÷·® ¿î¿µÀÚ´Â ¿î¿µ È¿À²¼º Çâ»ó, ´Ù¿îŸÀÓ °¨¼Ò, À¯Áöº¸¼ö ÀÏÁ¤ ÃÖÀûȸ¦ À§ÇØ ¿ø°Ý Áø´Ü Åø¿¡ ÀÇÁ¸Çϰí ÀÖ½À´Ï´Ù. Â÷·® °ü¸®¿¡¼ Ä¿³ØÆ¼µå Â÷·® ±â¼ú, ƯÈ÷ ¿¹Áö Á¤ºñ ¹× °æ·Î ÃÖÀûÈ¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡°¡ ÀÌ ºÎ¹®ÀÇ ±Þ°ÝÇÑ ¼ºÀå¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù.
¿¹Ãø ±â°£ Áß À¯·´ÀÌ ÀÚµ¿Â÷ ¿ø°Ý Â÷·® Áø´Ü ½ÃÀå¿¡¼ °¡Àå Å« ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. À¯·´Àº Æø½º¹Ù°Õ, BMW, ¸Þ¸£¼¼µ¥½º-º¥Ã÷¿Í °°Àº ´ë±â¾÷ÀÌ Ã·´Ü ÀÚµ¿Â÷ ±â¼úÀ» ¹ßÀü½Ã۰í ÀÖ´Â ÀüÅë ÀÖ´Â ÀÚµ¿Â÷ »ê¾÷À» º¸À¯Çϰí ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀº ÀÚµ¿Â÷ ¾ÈÀü, ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©, Ä¿³ØÆ¼µåÄ«¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ÁßÁ¡À» µÎ°í ÀÖÀ¸¸ç, ¿ø°Ý Áø´Ü ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ À¯·´Àº Â÷·® °ü¸® ½Ã½ºÅÛÀÇ µµÀÔÀÌ ºü¸£°Ô ÁøÇàµÇ°í ÀÖÀ¸¸ç, È¿À²ÀûÀÎ Áø´Ü Åø¿¡ ´ëÇÑ ¼ö¿ä°¡ ´õ¿í Áõ°¡Çϰí ÀÖ½À´Ï´Ù.
¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£ Áß °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ´Â ÁÖ·Î Áß±¹, Àεµ, ÀϺ»°ú °°Àº ±¹°¡ÀÇ ±Þ¼ÓÇÑ »ê¾÷È¿Í ±â¼ú ¹ßÀüÀ¸·Î ÀÎÇÑ °ÍÀÔ´Ï´Ù. ¾Æ½Ã¾ÆÅÂÆò¾ç¿¡¼´Â ÀÚµ¿Â÷ ½ÃÀåÀÇ ¼ºÀå°ú ÇÔ²² ÀÚµ¿Â÷¿¡ IoT ±â¼ú°ú Ä¿³ØÆ¼ºñƼÀÇ Ã¤ÅÃÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¿ø°Ý Â÷·® Áø´ÜÀÌ Å©°Ô ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¶ÇÇÑ Â÷·® °ü¸® ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡´Â ÀÌ Áö¿ª ½ÃÀå È®´ë¸¦ ´õ¿í ÃËÁøÇϰí ÀÖ½À´Ï´Ù.
According to Stratistics MRC, the Global Automotive Remote Vehicle Diagnostic Market is accounted for $19.3 billion in 2024 and is expected to reach $52.8 billion by 2030 growing at a CAGR of 18.2% during the forecast period. Automotive remote vehicle diagnostics is the use of wireless communication technologies to monitor and diagnose a vehicle's health and performance from a remote location. This system enables real-time data transmission about various vehicle components, such as the engine, transmission, and electrical systems, to service centers or manufacturers. It allows for proactive maintenance, reduces downtime, and improves vehicle reliability by identifying issues before they become critical.
According to the Society of Indian Automobile Manufacturers, sales of medium and heavy commercial vehicles increased from 240,577 to 359,003 units, and light commercial vehicles increased from 475,989 to 603,465 units in FY-2022-23, compared to the previous year.
Increasing demand for preventive maintenance
The growing awareness of the importance of preventive maintenance is significantly driving the demand for automotive remote vehicle diagnostic systems. These systems allow for early detection of issues before they escalate into costly repairs, increasing the longevity of vehicles. Preventive maintenance also minimizes downtime and enhances vehicle performance, contributing to cost savings for vehicle owners and fleet operators. As a result, the market for remote vehicle diagnostics is seeing strong growth as businesses and consumers seek to optimize vehicle maintenance practices.
Technological integration issues
The integration of remote vehicle diagnostic systems with existing automotive technologies can pose significant challenges. Many vehicles on the road use older systems that are not easily compatible with newer diagnostic tools, leading to high integration costs and longer implementation times. Moreover, automakers and service providers face challenges in standardizing these systems, which can create barriers to widespread adoption. These integration complexities slow down the market's growth, especially in regions with older vehicle fleets.
Adoption of IoT and connectivity
The rapid adoption of the Internet of Things (IoT) and enhanced connectivity in vehicles presents a significant opportunity for the automotive remote vehicle diagnostic market. By connecting vehicles to cloud-based platforms, real-time data can be collected and analyzed for diagnostics, reducing the need for physical inspections. This connectivity not only allows for more accurate diagnostics but also enables predictive maintenance, thereby creating a more efficient and cost-effective approach to vehicle management, which can drive further market growth.
Security concerns
One of the key threats to the automotive remote vehicle diagnostic market is the growing concern over cybersecurity. As vehicles become more connected, the risk of cyberattacks and data breaches increases, with potential implications for both vehicle safety and consumer privacy. Hackers could potentially access sensitive vehicle data or disrupt diagnostic systems, which may damage the trust in these systems and hinder adoption. Ensuring robust security measures will be critical to addressing these concerns and sustaining market growth.
The Covid-19 pandemic disrupted global automotive supply chains and temporarily slowed down vehicle production, affecting the demand for remote vehicle diagnostic systems. However, as industries adapted to new health protocols, the market experienced a shift towards digital solutions, with remote diagnostics gaining traction as a safer alternative. This shift, combined with increased reliance on fleet management, has helped the market recover and is expected to continue expanding post-pandemic.
The equipment segment is expected to be the largest during the forecast period
The equipment segment is expected to dominate the market share during the forecast period. This segment includes devices such as OBD scanners and vehicle diagnostic tools, which are widely used by automotive technicians and fleet operators. The high demand for accurate, real-time diagnostic equipment, coupled with advancements in diagnostic technologies, is driving growth in this segment. As the need for efficient vehicle maintenance solutions continues to rise, the equipment segment remains a crucial part of the automotive remote diagnostic market.
The fleet operators segment is expected to have the highest CAGR during the forecast period
The fleet operators segment is predicted to experience the highest growth rate during the forecast period, driven by the growing need for cost-effective, real-time monitoring of vehicle performance. Fleet operators rely on remote diagnostic tools to enhance operational efficiency, reduce downtime, and optimize maintenance schedules. The increasing demand for connected vehicle technologies in fleet management, particularly for predictive maintenance and route optimization, contributes to the rapid growth of this segment.
During the estimation period, the Europe region is expected to hold the largest market share in the automotive remote vehicle diagnostic market. Europe is home to a well-established automotive industry, with major players like Volkswagen, BMW, and Mercedes-Benz pushing for more advanced vehicle technologies. The region's focus on vehicle safety, regulatory frameworks, and growing demand for connected vehicles enhances the need for remote diagnostic solutions. Additionally, Europe has seen rapid adoption of fleet management systems, further driving the demand for efficient diagnostic tools.
The Asia Pacific region is anticipated to register the highest CAGR during the forecast period, primarily due to the rapid industrialization and technological advancements in countries like China, India, and Japan. The increasing adoption of IoT technologies and connectivity in vehicles, along with the expanding automotive market in the region, positions Asia Pacific for significant growth in remote vehicle diagnostics. Additionally, the rising demand for fleet management solutions is further propelling the market expansion in this region.
Key players in the market
Some of the key players in Automotive Remote Vehicle Diagnostic Market include Robert Bosch GmbH, Continental AG, Denso Corporation, ZF Friedrichshafen AG, Autel Intelligent Technology Corp, AVL DiTEST GmbH, Magneti Marelli, Snap-on Incorporated, OnStar Corporation, BorgWarner, Tech Mahindra Limited, Verizon Connect, Wejo Limited, LUXOFT, TomTom, Hexagon AB, and Valeo.
In November 2024, Bosch and Tsinghua University are expanding their collaboration in the field of artificial intelligence (AI). Bosch is investing an additional 50 million CNY (approximately 6 million EUR) to extend the partnership for another five years. This collaboration, centered around the Tsinghua-Bosch Joint Research Center on Machine Learning, aims to revolutionize AI in the industrial sector.
In October 2024, ZF recently opened the UK's first-of-its-kind HV Test & Validation Laboratory at its R&D Hub near Solihull. The main aim is to accelerate the adoption of 800V architectures with improved efficiency, charging and vehicle performance advantages for electric vehicles (EVs). Developed and installed with a project cost partially funded by the APC, the 800V Test & Validation Laboratory will offer ZF and its customer's much-needed specialist hazardous voltage (HV) testing capacity to roll out its introduction and benefits.
In September 2024, DENSO CORPORATION today announced that it will build a new plant by expanding the site of the Zenmyo Plant in Nishio City, Aichi Prefecture. Construction will start in the first half of FY2025 and will be completed in January 2027, with production slated to start in the first half of FY2028. The total investment will be about 69 billion yen.