¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î ½ÃÀå : ±âȸ, ¼ºÀå ÃËÁø¿äÀÎ, »ê¾÷ µ¿Ç⠺м®, ¿¹Ãø(2025-2034³â)
Battery Simulation Software Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
»óǰÄÚµå : 1822568
¸®¼­Ä¡»ç : Global Market Insights Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 240 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,850 £Ü 6,882,000
PDF & Excel (Single User License) help
PDF, Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,050 £Ü 8,585,000
PDF & Excel (Multi User License) help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷Àå¿¡¼­ 5¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 8,350 £Ü 11,849,000
PDF & Excel (Enterprise User License) help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î ¼¼°è ½ÃÀå ±Ô¸ð´Â 2024³â¿¡ 10¾ï 3,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú°í, CAGR 11.4%·Î ¼ºÀåÇÏ¿© 2034³â¿¡´Â 30¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ°í ÀÖ½À´Ï´Ù.

¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î Market-IMG1

ÀÌ ¼ºÀåÀº Àü±âÀÚµ¿Â÷¿Í ±×¸®µå ±Ô¸ðÀÇ ¿¡³ÊÁö ÀúÀå¿¡ ´ëÇÑ ¼ö¿äÀÇ ±ÞÁõ¿¡ ´ëÀÀÇϰí, º¸´Ù ½º¸¶Æ®ÇÏ°í ºñ¿ë È¿À²ÀûÀÌ°í ¿¡³ÊÁö È¿À²ÀûÀÎ ¹èÅ͸® ½Ã½ºÅÛÀ» ¿ä±¸ÇÏ´Â ¿òÁ÷ÀÓÀÌ È®»êµÇ°í ÀÖÀ½À» ¹Ý¿µÇÕ´Ï´Ù. ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î´Â ¹èÅ͸® µ¿ÀÛÀ» ¸ðµ¨¸µÇϰí, ¼³°è¸¦ °£¼ÒÈ­Çϰí, ¼º´ÉÀ» ÃÖÀûÈ­ÇÏ´Â °­·ÂÇÑ µµ±¸ ¼¼Æ®¸¦ Á¦°øÇÏ´Â ÇÑÆí, ºñ¿ëÀÌ ¸¹ÀÌ µå´Â ¹°¸®Àû ÇÁ·ÎÅäŸÀÔÀ» ÃÖ¼ÒÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÚµ¿Â÷ Á¦Á¶¾÷ü¿Í ¿¡³ÊÁö ¼Ö·ç¼Ç Á¦°ø¾÷ü´Â ¹èÅ͸®ÀÇ ¾ÈÀü¼ºÀ» ³ôÀ̰í Ç׼ӰŸ®¸¦ ´Ã¸®°í ÁøÈ­ÇÏ´Â ¿¡³ÊÁö ÀúÀå ±ÔÁ¦¿¡ ´ëÀÀÇϱâ À§ÇØ Á¡Á¡ ½Ã¹Ä·¹À̼ÇÀ» Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. ±¹°¡ÀÇ ¼ÛÀü¸Á¿¡ Àç»ý¿¡³ÊÁö¿øÀÌ Ãß°¡µÇ´Â µ¿¾È ºÎÇÏ ºÐ»êÀ» Áö¿øÇϰí, ÇÇÅ© ¾Ð·ÂÀ» ÁÙÀÌ°í °ø±ÞÀ» ¾ÈÁ¤È­½ÃŰ´Â ½Å·Ú¼º ³ôÀº ½ºÅ丮Áö°¡ ÇÊ¿äÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ¸ñÇ¥¸¦ ´Þ¼ºÇϱâ À§Çؼ­´Â ƯÈ÷ °èÅë ¿î¿µÀÚ¿Í Àü·Â »ç¾÷ÀÚ°¡ ½º¸¶Æ® ¿¡³ÊÁö ÀÎÇÁ¶óÀÇ ±Ô¸ð¸¦ È®´ëÇÏ´Â °¡¿îµ¥ ¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç Ç÷§ÆûÀÌ ÇʼöÀûÀÔ´Ï´Ù. µðÁöÅÐ ¿£Áö´Ï¾î¸µÀ¸·ÎÀÇ ÀüȯÀº COVID-19ÀÇ À¯Çà°ú °°Àº È¥¶õ¿¡ ÀÇÇØ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ È¥¶õÀ¸·Î ÀÎÇØ ½ÇÇè½Ç¿¡ ´ëÇÑ ¾×¼¼½º°¡ Á¦Çѵǰí À̵¿ÀÌ Á¦ÇÑµÇ¾î ±â¾÷ÀÌ ¿ø°Ý ¼³°è ¹× °¡»ó Å×½ºÆ®¸¦ ¼öÇàÇÏ°Ô µÇ¾ú½À´Ï´Ù. ±â¾÷Àº ÇöÀç ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ȯ°æ, µðÁöÅÐ Æ®À© ½Ã½ºÅÛ ¹× °ËÁõµÈ °¡»ó ¸ðµ¨À» Ȱ¿ëÇÏ¿© ¹èÅ͸® ±â¼ú °³¹ßÀ» ÃßÁøÇϰí Çõ½Å »çÀÌŬÀ» ´ÜÃàÇϰí ÀÖ½À´Ï´Ù.

½ÃÀå ¹üÀ§
½ÃÀÛ ¿¬µµ 2024³â
¿¹Ãø ¿¬µµ 2025-2034³â
½ÃÀå ±Ô¸ð 10¾ï 3,000¸¸ ´Þ·¯
¿¹Ãø ±Ý¾× 30¾ï ´Þ·¯
CAGR 11.4%

¸®Æ¬ À̿ ¹èÅ͸® ºÐ¾ß´Â 2024³â¿¡ 53%ÀÇ Á¡À¯À²À» Â÷ÁöÇϰí 2034³â±îÁö ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR) 11%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¸®Æ¬ À̿ ¹èÅ͸®´Â ³ôÀº ¿¡³ÊÁö ¹Ðµµ, ±ä »çÀÌŬ ¼ö¸í, È¿À²ÀûÀÎ ¼º´É Ư¼ºÀ¸·Î ÀÎÇØ Àü±âÀÚµ¿Â÷, ±×¸®µå ¿¡³ÊÁö ½Ã½ºÅÛ ¹× ¸ð¹ÙÀÏ ÀüÀÚ Á¦Ç°ÀÇ °¡Àå À¯·ÂÇÑ ¼±ÅÃÀÔ´Ï´Ù. ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î¸¦ »ç¿ëÇÏ¸é ¿­ °Åµ¿, Àü±â È­ÇÐ ¹ÝÀÀ, Ãæ¹æÀü »çÀÌŬÀÇ ¿¹Ãø ¸ðµ¨¸µÀ» ÅëÇØ ¸®Æ¬ À̿ ¹èÅ͸®ÀÇ ¼³°è¸¦ °³¼± ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ µµ±¸´Â ¹èÅ͸® ¼ö¸í°ú ½Ã½ºÅÛ ½Å·Ú¼ºÀ» Çâ»ó½ÃŰ´Â µ¥¿¡µµ Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Àüµ¿¼º°ú ûÁ¤ ¿¡³ÊÁö ºÐ¾ß°¡ °è¼Ó È®´ëµÊ¿¡ µû¶ó ½Ã¹Ä·¹À̼ÇÀº ±â¼ú Çõ½Å¿¡ ÇÊ¿äÇÑ ±â¹ÝÀ» Á¦°øÇÏ¿© ÀÌ·¯ÇÑ ¹èÅ͸®°¡ Á¡Á¡ ´õ ¾ö°ÝÇØÁö´Â ¼º´É°ú ¾ÈÀü¼ºÀÇ º¥Ä¡¸¶Å©¸¦ ÃæÁ·ÇÒ ¼ö ÀÖµµ·Ï º¸ÀåÇÕ´Ï´Ù.

Àü±âÈ­ÇÐ ½Ã¹Ä·¹ÀÌ¼Ç ºÐ¾ß´Â 2024³â¿¡ 39%ÀÇ Á¡À¯À²À» ȹµæÇßÀ¸¸ç, 2025³âºÎÅÍ 2034³â¿¡ °ÉÃÄ CAGRÀº 11%¸¦ ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ºÐ¾ß´Â ¹èÅ͸® È­Çаú ³»ºÎ °øÁ¤À» ºÐÀÚ ¼öÁØ¿¡¼­ ½Ã¹Ä·¹ÀÌ¼Ç ÇÒ ¼ö ÀÖ´Ù´Â Á¡¿¡¼­ µÎµå·¯Áý´Ï´Ù. À̸¦ ÅëÇØ Á¦Á¶¾÷ü´Â ¹°¸®Àû Å×½ºÆ®¸¦ ¼öÇàÇϱâ Àü¿¡ À̿ ¿ªÇÐ, ÃæÀü °Åµ¿ ¹× ¹ÝÀÀ ¸ÞÄ¿´ÏÁòÀ» Æò°¡ÇÒ ¼ö ÀÖ¾î °³¹ß ¼Óµµ¸¦ ³ôÀÌ°í ºñ¿ë È¿À²¼ºÀ» ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù. Àü±âÈ­ÇÐ ¸ðµ¨¸µÀº ¹èÅ͸® ¾ÆÅ°ÅØÃ³ °³¼±, Àü±Ø Àç·á ÃÖÀûÈ­, ÀüÇØ¾× Á¶¼º Á¶Á¤¿¡ ÇʼöÀûÀÔ´Ï´Ù. ÀÌ À¯ÇüÀÇ ½Ã¹Ä·¹À̼ÇÀº Àü±âÀÚµ¿Â÷ ¹× Ç×°ø¿ìÁÖ ½Ã½ºÅÛ°ú °°Àº ¾ÈÀü ¹× ³»±¸¼ºÀÌ ¹Ì¼Ç Å©¸®Æ¼ÄÃÇÑ ¿ëµµ¿¡ ¸Å¿ì Áß¿äÇÑ ´Ù¾çÇÑ ÀÛµ¿ Á¶°Ç ÇÏ¿¡¼­ÀÇ ¼º´É¿¡ ´ëÇÑ ±íÀº ÅëÂû·ÂÀ» Áö¿øÇÕ´Ï´Ù.

¹Ì±¹ ¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î 2024³â ¾÷°è Á¡À¯À²Àº 85%·Î 3¾ï 2,490¸¸ ´Þ·¯ÀÇ ¼öÀÍÀ» ¿Ã·È½À´Ï´Ù. ÀÌ ³ª¶óÀÇ ¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ºÐ¾ß´Â ¼º¼÷ÇÑ ±â¼ú »ýŰè, °í±Þ ÄÄÇ»ÆÃ ÀÎÇÁ¶ó ¾×¼¼½º, ½Ã¹Ä·¹ÀÌ¼Ç ¿öÅ©·Îµå¸¦ À§ÇÑ È®Àå °¡´ÉÇÑ È¯°æÀ» Á¦°øÇϴ Ŭ¶ó¿ìµå ¼­ºñ½º Á¦°ø¾÷üÀÇ °­·ÂÇÑ Á¸Àç·Î ÀÌÀÍÀ» ¾ò°í ÀÖ½À´Ï´Ù. ¸ÖƼÇÇÁ÷½º, °íÃæ½Çµµ ½Ã¹Ä·¹ÀÌ¼Ç ¸ðµ¨¿¡ ´ëÇÑ ¼ö¿ä´Â ƯÈ÷ EV Á¦Á¶¾÷ü, Ç×°ø¿ìÁÖ±â¾÷, ûÁ¤¿¡³ÊÁö ½ÅÈï±â¾÷µé »çÀÌ¿¡¼­ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¹Ì±¹Àº R&D ÅõÀÚ ¹× µðÁöÅÐ ¿£Áö´Ï¾î¸µÀÇ Çõ½ÅÀ» À̲ø°í ÀÖÀ¸¸ç, ±â¾÷Àº Ŭ¶ó¿ìµå Áö¿ø ¸ðµ¨¸µ Ç÷§ÆûÀ» ÅëÇØ ¹°¸®Àû ÇÁ·ÎÅäŸÀÌÇÎ ºñ¿ëÀ» Àý°¨ÇÏ°í ½ÃÀå Ãâ½Ã ½Ã°£À» ´ÜÃàÇÒ ¼ö ÀÖ½À´Ï´Ù.

¼¼°è ¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î ¾÷°èÀÇ ÁÖ¸ñÇÒ¸¸ÇÑ ±â¾÷À¸·Î´Â Dassault, ESI, Siemens, COMSOL, AVL List, MathWorks, Autodesk, Ansys, Altair Engineering µîÀÌ ÀÖ½À´Ï´Ù. ¹èÅ͸® ½Ã¹Ä·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î ºÐ¾ßÀÇ ±â¾÷Àº ½ÃÀå¿¡¼­ÀÇ ÁöÀ§¸¦ È®°íÇÏ°Ô Çϱâ À§ÇØ Çõ½Å, Çù¾÷, Ŭ¶ó¿ìµå ÅëÇÕÀ» ¿ì¼±Çϰí ÀÖ½À´Ï´Ù. °¢ ȸ»ç´Â ½ÇÁ¦ ¹èÅ͸® »ç¿ë¿¡ ÀûÀÀÇÏ´Â AI¸¦ °­È­ÇÑ ¸ðµ¨¸µ Åø¿¡ ÅõÀÚÇÔÀ¸·Î½á ½Ã¹Ä·¹À̼ÇÀÇ Á¤È®¼ºÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù. ¸¹Àº ±â¾÷µéÀÌ OEM, ¹èÅ͸® °³¹ß ±â¾÷, Çмú ±â°ü°ú ÆÄÆ®³Ê½ÊÀ» ¸Î°í, µ¶ÀÚÀûÀÎ ¾Ë°í¸®ÁòÀ» °³¹ßÇϰí, ¾÷°è °íÀ¯ÀÇ ¿ëµµ¸¦ °øµ¿ °³¹ßÇϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ±â¹Ý ¹× On-Premise ÇÏÀ̺긮µå ¹èÆ÷ ¿É¼ÇÀ» Á¦°øÇÏ´Â µ¥¿¡µµ ÈûÀ» ½Ç¾î ´Ù¾çÇÑ IP °¨µµ ¼öÁØÀ» Áö¿øÇÕ´Ï´Ù. ¶ÇÇÑ ¼±µµÀûÀÎ °ø±Þ¾÷ü´Â »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º °³¼±, ½Ã¹Ä·¹ÀÌ¼Ç ½ÇÇà ½Ã°£ ´ÜÃà, ¸ÖƼÇÇÁ÷½º ȯ°æ Áö¿øÀ» ÅëÇØ ´õ ¸¹Àº ±â¾÷ »ç¿ëÀÚ¸¦ ²ø¾îµéÀÌ·Á°í ÇÕ´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ¾÷°è ÀλçÀÌÆ®

Á¦4Àå °æÀï ±¸µµ

Á¦5Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : ¹èÅ͸® À¯Çüº°, 2021-2034

Á¦6Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : ½Ã¹Ä·¹À̼Ǻ°, 2021-2034

Á¦7Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : Àü°³ ¸ðµåº°, 2021-2034

Á¦8Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : ¿ëµµº°, 2021-2034

Á¦9Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : ±â¾÷º°, 2021-2034

Á¦10Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : ÃÖÁ¾ ¿ëµµº°, 2021-2034

Á¦11Àå ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø : Áö¿ªº°, 2021-2034

Á¦12Àå ±â¾÷ ÇÁ·ÎÆÄÀÏ

SHW
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The Global Battery Simulation Software Market was valued at USD 1.03 billion in 2024 and is estimated to grow at a CAGR of 11.4% to reach USD 3 billion by 2034.

Battery Simulation Software Market - IMG1

This growth reflects a broader push toward smarter, cost-effective, and energy-efficient battery systems in response to surging demand for electric vehicles and grid-scale energy storage. Simulation software offers a powerful toolset to model battery behavior, streamline design, and optimize performance while minimizing costly physical prototyping. Automakers and energy solution providers are increasingly leveraging simulation to enhance battery safety, extend range, and align with evolving energy storage regulations. With renewable energy sources being added to national grids, there's a need for dependable storage that supports load balancing, reduces peak pressure, and stabilizes supply. Battery simulation platforms are emerging as essential to meeting these goals, especially as grid operators and utility providers scale up smart energy infrastructure. The transition to digital engineering has been accelerated by disruptions like the COVID-19 pandemic, where limited access to labs and travel restrictions drove enterprises toward remote design and virtual testing. Companies now rely on hybrid cloud environments, digital twin systems, and validated virtual models to advance battery technology development and shorten innovation cycles.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$1.03 Billion
Forecast Value$3 Billion
CAGR11.4%

The lithium-ion battery segment held 53% share in 2024 and is projected to maintain a CAGR of 11% through 2034. Lithium-ion batteries remain the most prominent choice for electric vehicles, grid energy systems, and mobile electronics due to their high energy density, long cycle life, and efficient performance characteristics. Simulation software enables developers to improve lithium-ion battery design through predictive modeling of thermal behavior, electrochemical reactions, and charge-discharge cycles. These tools also play a vital role in improving battery longevity and system reliability. As electric mobility and clean energy sectors continue to scale, simulation provides a necessary foundation for innovation, ensuring these batteries meet increasingly rigorous performance and safety benchmarks.

The electrochemical simulation segment captured 39% share in 2024 and is anticipated to grow at a CAGR of 11% from 2025 to 2034. This segment stands out due to its capacity to simulate battery chemistry and internal processes at the molecular level. It allows manufacturers to evaluate ion dynamics, charging behavior, and reaction mechanisms before physical trials, making development faster and more cost-effective. Electrochemical modeling is essential for refining battery architecture, optimizing electrode materials, and tailoring electrolyte composition. This simulation type supports deeper insights into performance under variable operating conditions, which is crucial for applications where safety and durability are mission-critical, including electric vehicles and aerospace systems.

United States Battery Simulation Software Industry held an 85% share in 2024, generating USD 324.9 million. The country's battery simulation sector benefits from its mature tech ecosystem, access to advanced computing infrastructure, and a strong presence of cloud service providers offering scalable environments for simulation workloads. The demand for multi-physics, high-fidelity simulation models is growing, particularly among EV manufacturers, aerospace companies, and clean energy startups. The US also leads in R&D investment and digital engineering transformation, enabling companies to reduce physical prototyping costs and shorten time-to-market through cloud-enabled modeling platforms.

Notable players in the Global Battery Simulation Software Industry include Dassault, ESI, Siemens, COMSOL, AVL List, MathWorks, Autodesk, Ansys, and Altair Engineering. To solidify their market position, companies in the battery simulation software sector are prioritizing innovation, collaboration, and cloud integration. Firms are advancing simulation accuracy by investing in AI-enhanced modeling tools that adapt to real-world battery usage conditions. Many players are forming partnerships with OEMs, battery developers, and academic institutions to develop proprietary algorithms and co-develop industry-specific applications. There's a strong focus on offering hybrid deployment options-cloud-based and on-premises-catering to varying IP sensitivity levels. Leading providers are also improving user interfaces, reducing simulation runtimes, and supporting multi-physics environments to attract more enterprise users.

Table of Contents

Chapter 1 Methodology

Chapter 2 Executive Summary

Chapter 3 Industry Insights

Chapter 4 Competitive Landscape, 2024

Chapter 5 Market Estimates & Forecast, By Battery type, 2021 - 2034 ($Bn)

Chapter 6 Market Estimates & Forecast, By Simulation, 2021 - 2034 ($Bn)

Chapter 7 Market Estimates & Forecast, By Deployment Mode, 2021 - 2034 ($Bn)

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)

Chapter 9 Market Estimates & Forecast, By Enterprises, 2021 - 2034 ($Bn)

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

Chapter 12 Company Profiles

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â