¼¼°èÀÇ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀå
Programming Language Training
»óǰÄÚµå : 1794667
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 268 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,206,000
PDF & Excel (Single User License) help
PDF & Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÆÄÀÏ ³» ÅØ½ºÆ®ÀÇ º¹»ç ¹× ºÙ¿©³Ö±â´Â °¡´ÉÇÏÁö¸¸, Ç¥/±×·¡ÇÁ µîÀº º¹»çÇÒ ¼ö ¾ø½À´Ï´Ù. Àμâ´Â 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,620,000
PDF & Excel (Global License to Company and its Fully-owned Subsidiaries) help
PDF & Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ ¹× 100% ÀÚȸ»çÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÏ½Ç ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â 1Àδç 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ¼¼°è ½ÃÀåÀº 2030³â±îÁö 206¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 69¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 20.0%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 206¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ¿Â¶óÀÎ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×Àº CAGR 21.3%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 126¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ±³½Ç¿ë ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ºÐ¾ßÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ CAGR·Î 18.4%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 19¾ï ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 26.3%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀåÀº 2024³â¿¡ 19¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 47¾ï ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 26.3%¸¦ ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖ°í, ºÐ¼® ±â°£ µ¿¾È CAGRÀº °¢°¢ 14.7%¿Í 18.1%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 16.0%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×ÀÌ Àü·«Àû ÀÎÀç °³¹ßÀÇ ¿ì¼±¼øÀ§°¡ µÇ°í ÀÖ´Â ÀÌÀ¯´Â ¹«¾ùÀϱî?

°¢ »ê¾÷ ºÐ¾ß¿¡¼­ µðÁöÅÐ ÀüȯÀ» À§ÇÑ ³ë·ÂÀÌ º¹ÀâÇØÁü¿¡ µû¶ó ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×ÀÇ Á߿伺ÀÌ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. Ç®½ºÅà °³¹ßÀ̵ç, µ¥ÀÌÅÍ ¿£Áö´Ï¾î¸µÀ̵ç, Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀ̵ç, ¸Ó½Å·¯´×À̵ç, Python, JavaScript, Java, C++, Go¿Í °°Àº ÇÁ·Î±×·¡¹Ö ¾ð¾îÀÇ ¼÷·Ãµµ´Â Á÷Á¾¿¡ °ü°è¾øÀÌ ±âº»ÀûÀÎ ¿ä±¸»çÇ×ÀÌ µÇ°í ÀÖ½À´Ï´Ù. ±â¾÷ÀÌ ·¹°Å½Ã ½Ã½ºÅÛ¿¡¼­ Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê ¹× API ¿ì¼± ¾ÆÅ°ÅØÃ³·Î ÀüȯÇÔ¿¡ µû¶ó ¼ÒÇÁÆ®¿þ¾î ¿£Áö´Ï¾î»Ó¸¸ ¾Æ´Ï¶ó ÄÚµù ´É·ÂÀ» °®Ãá ºÐ¼®°¡, Á¦Ç° °ü¸®ÀÚ, ½Ã½ºÅÛ °ü¸®ÀÚ¿¡ ´ëÇÑ ¼ö¿äµµ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

´ë±â¾÷°ú ½ºÅ¸Æ®¾÷ ¸ðµÎ Àη °ø¹éÀ» ¸Þ¿ì°í »ç³» À¯µ¿¼ºÀ» ÃËÁøÇϱâ À§ÇØ ÇÁ·Î±×·¡¹Ö Ä¿¸®Å§·³À» Á÷¾÷´É·Â°³¹ß°èȹ¿¡ Æ÷ÇÔ½Ã۰í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÁøÈ­´Â ¿Â¶óÀÎ MOOC¿Í ºÎƮķÇÁ¿¡¼­ ¿£ÅÍÇÁ¶óÀÌÁî±Þ ÇнÀ °ü¸® ½Ã½ºÅÛ(LMS)¿¡ À̸£±â±îÁö °íǰÁú ±³À° Ç÷§Æû¿¡ ´ëÇÑ Á¢±ÙÀÌ ¹ÎÁÖÈ­µÇ¸é¼­ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ·Î¿ìÄÚµå/³ëÄÚµåÀÇ Ã¤ÅÃÀÌ Áõ°¡ÇÔ¿¡ µû¶ó, ºñ±â¼úÀû ¹è°æÀ» °¡Áø Àü¹®°¡µéÀº ¿öÅ©Ç÷οì ÀÚµ¿È­ ¿ª·®À» °­È­ÇÏ°í ºÎ¼­ °£ ÆÀ¿¡ º¸´Ù È¿°úÀûÀ¸·Î Âü¿©Çϱâ À§ÇØ ½ºÅ©¸³ÆÃ ¾ð¾î¿¡ ´ëÇÑ ±â¼úÀ» Á¡Á¡ ´õ ¸¹ÀÌ ½ÀµæÇϰí ÀÖ½À´Ï´Ù.

¾î¶² Àü´Þ Çü½Ä, Ä¿¸®Å§·³ Æ®·»µå, Ÿ°Ù Àα¸ÃþÀÌ Âü¿©¸¦ ÃËÁøÇϴ°¡?

ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× Á¦°ø ¸ðµ¨Àº Å©°Ô ´Ù¾çÇØÁö°í ÀÖ½À´Ï´Ù. ±âÁ¸ÀÇ °­»ç ÁÖµµÇü ±³À°Àº ¶óÀÌºê ¼¼¼Ç, ÀÚÀ² ÇнÀ ¸ðµâ, ½Ç½À, °ÔÀÓÈ­µÈ Æò°¡¸¦ °áÇÕÇÑ ÇÏÀ̺긮µå ¸ðµ¨·Î ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. Coursera, edX, Pluralsight, Codecademy µîÀÇ Ç÷§ÆûÀº ½ºÅÃÇü ÀÚ°ÝÁõ, ¿ªÇÒ ±â¹Ý ÇнÀ °æ·Î, ÄÚµù »÷µå¹Ú½º ȯ°æ µîÀ» Á¦°øÇÏ¿© ÇнÀÀÚ°¡ ½ÇÁ¦ »óȲ¿¡¼­ ÀÌ·ÐÀ» Àû¿ëÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. Udemy³ª Skillsoft¿Í °°Àº ±â¾÷µéÀº ÀÎ»ç ºÎ¼­°¡ Á÷¹« ¿ª·®¿¡ µû¶ó »ç³» ½ºÅ³¾÷ ÆÐ½º¸¦ ¸¸µé ¼ö ÀÖ´Â ±â¾÷¿ë ±¸µ¶ ¼­ºñ½º¸¦ Á¦°øÇϰí ÀÖ½À´Ï´Ù.

General Assembly, Le Wagon, Flatiron School°ú °°Àº ǮŸÀÓ ¸ôÀÔÇü ºÎƮķÇÁ´Â ÀüÁ÷ÀÚ¿Í ±¸Á÷ÀÚ¸¦ ´ë»óÀ¸·Î Çϸç, À¯Ã¢ÇÑ ¾ð¾î, Git ±â¹Ý ¿öÅ©Ç÷οì, ¾ÖÀÚÀÏ °³¹ß ½Ç½ÀÀ» ÅëÇØ °í¿ë °¡´É¼ºÀ» °¡¼ÓÈ­ÇÏ´Â µ¥ ÁßÁ¡À» µÎ°í ÀÖ½À´Ï´Ù. ÇÑÆí, ´ëÇп¡¼­´Â °æÁ¦ÇÐ, »ý¹°ÇÐ, ½É¸®ÇÐ µî ºñ CS Àü°ø¿¡ ÇÁ·Î±×·¡¹ÖÀ» ÅëÇÕÇÏ¿© Çö´ë °è»ê ÀÛ¾÷ÀÇ ´ÙÇÐÁ¦Àû ¼º°ÝÀ» ¹Ý¿µÇϰí ÀÖ½À´Ï´Ù. û¼Ò³â¿¡ ÃÊÁ¡À» ¸ÂÃá ³ë·Â°ú Á¤ºÎ Áö¿ø µðÁöÅÐ ¸®ÅÍ·¯½Ã ÇÁ·Î±×·¥µµ K-12 ±³À° ¹× Á÷¾÷ ±³À°¿¡ ÇÁ·Î±×·¡¹ÖÀÇ ±âÃʸ¦ µµÀÔÇÏ¿© Á¶±â¿¡ ±â¼úÀû À¯Ã¢¼ºÀ» ½ÀµæÇϵµ·Ï Çϰí ÀÖ½À´Ï´Ù.

¾ð¾î ¼±È£µµ¿Í »ç¿ë »ç·ÊÀÇ Æ¯À̼ºÀº Ä¿¸®Å§·³ ¼³°è¿¡ ¾î¶² ¿µÇâÀ» ¹ÌÄ¡´Â°¡?

ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀåÀº ´Ù¾çÇÑ ¿µ¿ª¿¡¼­ äÅõǴ ¾ð¾îÀÇ ¿ªµ¿ÀûÀÎ º¯È­·Î ÀÎÇØ Çü¼ºµÇ°í ÀÖ½À´Ï´Ù. PythonÀº °¡µ¶¼º°ú dzºÎÇÑ ¶óÀ̺귯¸®(NumPy, Pandas, TensorFlow)·Î ÀÎÇØ µ¥ÀÌÅÍ °úÇÐ, ÀΰøÁö´É, Çмú ÄÄÇ»ÆÃ ºÐ¾ß¿¡¼­ ¿©ÀüÈ÷ ÃÖ°íÀÇ ¼±ÅÃÀÔ´Ï´Ù. JavaScript¿Í TypeScript´Â React, Angular, Node.js¿Í °°Àº ÃֽŠÇÁ·¹ÀÓ¿öÅ©¿¡ ÀÇÇØ À¥ °³¹ßÀ» Áö¹èÇϰí ÀÖ½À´Ï´Ù. ±â¾÷ ½Ã½ºÅÛ ¹× ¾Èµå·ÎÀÌµå °³¹ß¿¡¼­´Â Java¿Í KotlinÀÌ °­·ÂÇÑ ¿¬°ü¼ºÀ» À¯ÁöÇϰí, ½Ã½ºÅÛ ÇÁ·Î±×·¡¹Ö, °ÔÀÓ, ÀÓº£µðµå ±â±â °³¹ß¿¡¼­´Â C¿Í C++ÀÌ °è¼Ó Áß¿äÇÒ °ÍÀÔ´Ï´Ù.

ºí·ÏüÀÎ, IoT, Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê ¸¶ÀÌÅ©·Î¼­ºñ½º¿Í °°Àº »õ·Î¿î »ç¿ë »ç·Ê´Â Solidity, Rust, Go, Dart¿¡ ´ëÇÑ ±³À° ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. Ä¿¸®Å§·³ °³¹ßÀÚµéÀº ÄÚµå ¹èÆ÷, ¹öÀü °ü¸®, ÄÁÅ×À̳ÊÈ­, AWS ¹× Azure¿Í °°Àº Ŭ¶ó¿ìµå Ç÷§Æû°úÀÇ ÅëÇÕ¿¡ ÁßÁ¡À» µÎ°í, ±¸¹® ±¸Á¶¿Í »ýŰè ÀνÄÀ» ¸ðµÎ ¹Ý¿µÇÒ ¼ö ÀÖµµ·Ï Ä¿¸®Å§·³À» Á¶Á¤Çϰí ÀÖ½À´Ï´Ù. ±³À° ÇÁ·Î±×·¥¿¡´Â ÇÁ·ÎÁ§Æ® ±â¹Ý Æò°¡, µ¿·á Æò°¡, GitHub Æ÷Æ®Æú¸®¿À ±¸Ãà µîÀ» µµÀÔÇÏ¿© ä¿ëÀÇ ±â´ë¿¡ ¸ÂÃç Áï½Ã ÅõÀÔ °¡´ÉÇÑ ÀÎÀ縦 È®º¸ÇÏ´Â °æÇâÀÌ °­ÇØÁö°í ÀÖ½À´Ï´Ù.

¼¼°è ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀåÀÇ ¼ºÀåÀ» ÃËÁøÇÏ´Â ¿äÀÎÀº ¹«¾ùÀΰ¡?

¼¼°è ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´× ½ÃÀå ¼ºÀåÀÇ ¿øµ¿·ÂÀº µðÁöÅÐ ÀηÂÀÇ º¯È­, °¢ ºÐ¾ßÀÇ ¼ÒÇÁÆ®¿þ¾î °³¹ß °¡¼ÓÈ­, ±×¸®°í ±â¼ú ¹× ºñ±â¼úÀû ¿µ¿ªÀ» ¸··ÐÇϰí ÇÁ·Î±×·¡¹Ö ±â¼úÀÇ Àû¿ë ¹üÀ§°¡ È®´ëµÇ°í ÀÖ´Ù´Â Á¡ÀÔ´Ï´Ù. ±â¾÷µéÀº »ç³» ¿£Áö´Ï¾î¸µ ¿ª·®À» ±¸ÃàÇϰí, ¾Æ¿ô¼Ò½ÌÀ» ÁÙÀ̰í, µ¥ºê¿É½º ¿øÄ¢À» äÅÃÇϱâ À§ÇØ ÁøÈ­ÇÏ´Â ±â¼ú ½ºÅðú ºñÁî´Ï½º ¿ì¼±¼øÀ§¿¡ µû¶ó ±¸Á¶È­µÇ°í È®Àå °¡´ÉÇÑ ±³À° ÇÁ·Î±×·¥¿¡ ÅõÀÚÇϰí ÀÖ½À´Ï´Ù.

ÁÖ¿ä ¿äÀÎ Áß Çϳª´Â ±â¼úÀÚ Ã¤¿ëÀÇ ¾î·Á¿òÀ¸·Î, ±â¾÷Àº ¿ÜºÎ ä¿ë¿¡¸¸ ÀÇÁ¸ÇÏÁö ¾Ê°í ±âÁ¸ Á÷¿øÀÇ Àç±³À°À» Àå·ÁÇϰí ÀÖ½À´Ï´Ù. ¶Ç ´Ù¸¥ ¿äÀÎÀº ²À °³¹ßÀÌ ¾Æ´Ï´õ¶óµµ ¾÷¹« ÀÚµ¿È­, µ¥ÀÌÅÍ Äõ¸®, API °ü¸® µî 'ÄÚµå À¯Ã¢¼º'À» ÇÊ¿ä·Î ÇÏ´Â Á÷¹«°¡ ±ÞÁõÇϰí ÀÖ´Ù´Â Á¡ÀÔ´Ï´Ù. ÇÏÀ̺긮µå ¾÷¹« ȯ°æÀº µðÁöÅÐ Çù¾÷ µµ±¸¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ´õ¿í ³ôÀ̰í, Á÷¿øµéÀÌ »ý»ê¼º Çâ»óÀ» À§ÇÑ ÀÚµ¿È­ ¹× ½ºÅ©¸³ÆÃ ±â¼úÀ» ½ÀµæÇϵµ·Ï Àå·ÁÇϰí ÀÖ½À´Ï´Ù.

ÁÖ¿ä ½ÃÀå ÁøÀÔ ±â¾÷À¸·Î´Â Coursera, edX, Udacity¿Í °°Àº ¿¡µàÅ×Å© ¾÷ü, Springboard, BrainStation°ú °°Àº ºÎƮķÇÁ ¾÷ü, Degree, Pluralsight, LinkedIn Learning°ú °°Àº ±â¾÷¿ë ½ºÅ³¾÷ Ç÷§Æû µîÀÌ ÀÖ½À´Ï´Ù. ±â¾÷¿ë ½ºÅ³¾÷ Ç÷§Æû µîÀÌ ÀÖ½À´Ï´Ù. ±¸±Û, ¸¶ÀÌÅ©·Î¼ÒÇÁÆ®, ¾Æ¸¶Á¸À» ºñ·ÔÇÑ ÁÖ¿ä Å×Å© ±â¾÷µéµµ °¢ÀÚÀÇ »ýŰè¿Í ¿¬°èµÈ µ¶ÀÚÀûÀÎ ÀÚ°ÝÁõÀ» Á¦°øÇϰí ÀÖ½À´Ï´Ù. ¼ÒÇÁÆ®¿þ¾î°¡ ¼¼»óÀ» ÈÛ¾µ°í ÀÖ´Â Áö±Ý, ÇÁ·Î±×·¡¹Ö ¾ð¾î¿¡ ´ÉÅëÇÏ´Ù´Â °ÍÀº ±âÃÊÀûÀÎ ¹®ÇØ·ÂÀ̶ó°í ÇÒ ¼ö ÀÖ½À´Ï´Ù.

ºÎ¹®

Á¦Ç°(¿Â¶óÀÎ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×, ±³½Ç ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×, ºÎÆ® Ä·ÇÁ ÇÁ·Î±×·¥ ¾ð¾î Æ®·¹ÀÌ´×), ÃÖÁ¾»ç¿ë(±â¾÷, ¾ÆÄ«µ¥¹Í)

Á¶»ç ´ë»ó ±â¾÷ »ç·Ê

AI ÅëÇÕ

Global Industry Analysts´Â °ËÁõµÈ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AI ÅøÀ» ÅëÇØ ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ Çõ½ÅÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM ¹× ¾÷°èº° SLM Äõ¸®¸¦ µû¸£´Â ´ë½Å ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ¹æ´ëÇÑ ¾çÀÇ ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî ¼¼°è Àü¹®°¡·ÎºÎÅÍ ¼öÁýÇÑ ÄÁÅÙÃ÷ ¸®Æ÷ÁöÅ丮¸¦ ±¸ÃàÇß½À´Ï´Ù.

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»ç ¼ÒÀçÁö, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±âÁØÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¸ÅÃâ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº Ç϶ô, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû, °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

KSM
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Programming Language Training Market to Reach US$20.6 Billion by 2030

The global market for Programming Language Training estimated at US$6.9 Billion in the year 2024, is expected to reach US$20.6 Billion by 2030, growing at a CAGR of 20.0% over the analysis period 2024-2030. Online Programming Language Training, one of the segments analyzed in the report, is expected to record a 21.3% CAGR and reach US$12.6 Billion by the end of the analysis period. Growth in the Classroom Programming Language Training segment is estimated at 18.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.9 Billion While China is Forecast to Grow at 26.3% CAGR

The Programming Language Training market in the U.S. is estimated at US$1.9 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$4.7 Billion by the year 2030 trailing a CAGR of 26.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 14.7% and 18.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 16.0% CAGR.

Global Programming Language Training Market - Key Trends & Drivers Summarized

Why Is Programming Language Training Becoming a Strategic Workforce Development Priority?

The growing complexity of digital transformation initiatives across industries has significantly elevated the importance of programming language training. Whether for full-stack development, data engineering, cloud computing, or machine learning, proficiency in programming languages like Python, JavaScript, Java, C++, and Go has become a foundational requirement across job roles. As businesses transition from legacy systems to cloud-native and API-first architectures, demand is increasing not only for software engineers but also for analysts, product managers, and system administrators with coding capabilities.

Large enterprises and startups alike are embedding programming curricula into professional development plans to bridge the talent gap and promote internal mobility. This evolution is catalyzed by the democratization of access to high-quality training platforms-ranging from online MOOCs and bootcamps to enterprise-grade learning management systems (LMS). Moreover, as low-code/no-code adoption rises, professionals from non-technical backgrounds are increasingly upskilling in scripting languages to enhance their workflow automation capabilities and engage more effectively in cross-functional teams.

Which Delivery Formats, Curriculum Trends, and Target Demographics Are Driving Engagement?

Delivery models for programming language education have diversified significantly. Traditional instructor-led training has evolved into hybrid models combining live sessions, self-paced modules, hands-on labs, and gamified assessments. Platforms such as Coursera, edX, Pluralsight, and Codecademy offer stackable certificates, role-based learning paths, and coding sandbox environments that enable learners to apply theory in real-world contexts. Companies such as Udemy and Skillsoft provide enterprise subscriptions that allow HR departments to curate internal upskilling pathways based on role competencies.

Full-time immersive bootcamps such as General Assembly, Le Wagon, and Flatiron School cater to career changers and job seekers, focusing on accelerated employability through language fluency, Git-based workflows, and agile development practices. Meanwhile, universities are integrating programming into non-CS majors such as economics, biology, and psychology, reflecting the interdisciplinary nature of modern computational tasks. Youth-focused initiatives and government-backed digital literacy programs are also incorporating programming basics into K-12 and vocational education to build early technical fluency.

How Are Language Preferences and Use-Case Specificity Influencing Curriculum Design?

The market for programming language training is shaped by dynamic shifts in language adoption across various domains. Python remains the top choice for data science, artificial intelligence, and academic computing due to its readability and extensive libraries (NumPy, Pandas, TensorFlow). JavaScript and TypeScript dominate web development, driven by modern frameworks like React, Angular, and Node.js. For enterprise systems and Android development, Java and Kotlin maintain strong relevance, while C and C++ continue to be critical in systems programming, gaming, and embedded device development.

Emerging use cases such as blockchain, IoT, and cloud-native microservices are driving training demand in Solidity, Rust, Go, and Dart. Curriculum developers are tailoring offerings to reflect both the syntactic structure and ecosystem awareness-emphasizing code deployment, version control, containerization, and integration with cloud platforms such as AWS and Azure. Increasingly, training programs are incorporating project-based evaluations, peer reviews, and GitHub portfolio building to align with hiring expectations and ensure job-readiness.

What Factors Are Driving the Growth of the Global Programming Language Training Market?

The growth in the global programming language training market is driven by digital workforce transformation, the acceleration of software development across sectors, and the widening applicability of programming skills across both technical and non-technical domains. As organizations seek to build in-house engineering capabilities, reduce outsourcing, and embrace DevOps principles, they are investing in structured, scalable training programs that align with evolving technology stacks and business priorities.

One major driver is the technology hiring shortage, prompting enterprises to retrain existing staff rather than relying solely on external recruitment. Another factor is the proliferation of job roles requiring “code fluency”-not necessarily for development, but for automating tasks, querying data, and managing APIs. Hybrid work environments have further increased the reliance on digital collaboration tools, prompting employees to acquire automation and scripting skills that enhance productivity.

Key market participants include edtech providers like Coursera, edX, and Udacity; bootcamp players such as Springboard and BrainStation; and corporate upskilling platforms like Degreed, Pluralsight, and LinkedIn Learning. Tech giants including Google, Microsoft, and Amazon are also offering proprietary certifications tied to their ecosystems. As software continues to eat the world, fluency in programming languages will become a foundational literacy-making the training market one of the fastest-growing segments within global edtech.

SCOPE OF STUDY:

The report analyzes the Programming Language Training market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Product (Online Programming Language Training, Classroom Programming Language Training, Bootcamp Programming Language Training); End-Use (Corporate End-Use, Academic End-Use)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 34 Featured) -

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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