![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1520678
¼¼°èÀÇ ¸Å´ÏÁöµå ·¯´× ¼ºñ½º ½ÃÀå ±Ô¸ð Á¶»ç : À¯Çüº°, »ê¾÷º°, ±â¾÷ ±Ô¸ðº°, Á¦°ø Çüź°, Áö¿ªº° Àü¸Á(2022-2032³â)Global Managed Learning Service Market Size Study, by Type, by Industry Vertical, by Enterprise Size, by Delivery Mode, and Regional Forecasts 2022-2032 |
¼¼°èÀÇ ¸Å´ÏÁöµå ·¯´× ¼ºñ½º ½ÃÀå ±Ô¸ð´Â 2023³â ¾à 39¾ï 7,000¸¸ ´Þ·¯¿¡ ´ÞÇßÀ¸¸ç, 2024-2032³âÀÇ ¿¹Ãø ±â°£ µ¿¾È 10.3% ÀÌ»óÀÇ °ßÁ¶ÇÑ ¼ºÀå·üÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
¸Å´ÏÁöµå ·¯´× ¼ºñ½º(MLS)´Â Á¶Á÷¿¡ ¾Æ¿ô¼Ò½ÌµÈ ¿£µå Åõ ¿£µå ±³À° ¼Ö·ç¼ÇÀ» Á¦°øÇÏ¿© ±³À° ¿ä±¸ »çÇ×À» È¿°úÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. MLS´Â ±³À° ¾Æ¿ô¼Ò½Ì, ÇнÀ ¾Æ¿ô¼Ò½Ì, ÇнÀ ¾Æ¿ô¼Ò½Ì, ±³À° BPO, ÇнÀ BPO¸¦ Æ÷ÇÔÇϸç, MLS¸¦ ÅëÇØ ±â¾÷Àº ±³À° ÇÁ·Î¼¼½º¸¦ °£¼ÒÈÇϰí, °ü¸® ºÎ´ãÀ» ÁÙÀ̸ç, Àü¹® Áö½Ä¿¡ Á¢±ÙÇϰí, ¾÷°è ¸ð¹ü »ç·Ê¿¡ ºÎÇÕÇÒ ¼ö ÀÖ½À´Ï´Ù. ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, MLS´Â ºñ¿ë Àý°¨, È®À强 Çâ»ó, ÇнÀ ¼º°ú Çâ»óÀ» Áö¿øÇÏ¿© ±â¾÷ÀÌ ³»ºÎ ÀÚ¿øÀ» ÇÙ½É ºñÁî´Ï½º Ȱµ¿¿¡ ÁýÁßÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. À̸¦ ÅëÇØ Á÷¿øµéÀÇ ¼ºÀå°ú Á¶Á÷ÀÇ ¼º°øÀ» Áö¿øÇÏ´Â È¿À²ÀûÀ̰í È¿°úÀûÀ̸ç ÀûÀÀ·ÂÀÌ ¶Ù¾î³ ÇнÀ »ýŰ踦 ±¸ÃàÇÒ ¼ö ÀÖ½À´Ï´Ù.
¸Å´ÏÁöµå ·¯´× ¼ºñ½º ½ÃÀåÀÇ ¼ºÀåÀº °³ÀÎÈµÈ ÇнÀ °æÇè¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, µðÁöÅÐ ÇнÀ Ç÷§Æû ¹× µµ±¸ÀÇ È®´ë µî ¿©·¯ ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. ÀûÀÀÇü ÇнÀ ¼Ö·ç¼ÇÀ» À§ÇÑ AI¿Í ¸Ó½Å·¯´×ÀÇ ÅëÇÕ°ú ÇнÀ °ü¸® ¼Ö·ç¼ÇÀÇ ºñ¿ë È¿À²ÀûÀÎ ¾Æ¿ô¼Ò½Ì¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡´Â ½ÃÀå ¼ºÀå Àü¸ÁÀ» ´õ¿í °ÈÇÒ °ÍÀÔ´Ï´Ù. ¶ÇÇÑ, ±³À° ¼ö¿ä°¡ Áõ°¡ÇÏ´Â ½ÅÈï ½ÃÀåÀÇ È®´ë¿Í Æ´»õ »ê¾÷À» À§ÇÑ Àü¹® ÇнÀ ¼Ö·ç¼Ç Áõ°¡´Â ½ÃÀå ¼ºÀå¿¡ À¯¸®ÇÑ ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. ÇнÀÀÚÀÇ ´Ù¾çÇÑ ¿ä±¸¸¦ ÃæÁ·½Ã۱â À§ÇÑ Ä¿½ºÅ͸¶ÀÌ¡ ¿É¼Ç Áõ°¡¿Í ¿øÈ°ÇÑ ÀÎÀç °³¹ßÀ» À§ÇÑ ÀÎ»ç ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀº ÇâÈÄ ¸î ³âµ¿¾È MLS ½ÃÀå¿¡ ¸¹Àº ±âȸ¸¦ âÃâÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·Á, ±âÁ¸ ÇнÀ ¹æ¹ýÀÇ º¯È¿¡ ´ëÇÑ ÀúÇ× µîÀÌ ½ÃÀå ¼ºÀåÀ» ÀúÇØÇÏ´Â ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù.
e·¯´×°ú µðÁöÅÐ ÇнÀ Ç÷§ÆûÀÇ µµÀÔÀÌ È®´ëµÇ´Â Ãß¼¼´Â MLS ½ÃÀå¿¡ Å« ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ½À´Ï´Ù. µðÁöÅÐ ±â¼úÀÇ È®»ê°ú ¿ø°Ý ±Ù¹« Áõ°¡·Î ÀÎÇØ À¯¿¬Çϰí Á¢±ÙÀÌ ¿ëÀÌÇϸç È®Àå °¡´ÉÇÑ ÇнÀ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖÀ¸¸ç, ÀÌ·¯´× Ç÷§ÆûÀº ¾ðÁ¦ ¾îµð¼³ª ±³À° ÀÚ·á¿¡ Á¢±ÙÇÒ ¼ö ÀÖ°í, ÀÚ±â ÁÖµµÀû ÇнÀ ¸ðµâ°ú ÀÎÅÍ·¢Æ¼ºê ¸ÖƼ¹Ìµð¾î ÄÁÅÙÃ÷ µî Çö´ë ÇнÀÀÚÀÇ ´Ù¾çÇÑ ÇнÀ ÃëÇâÀ» ÃæÁ·½Ãų ¼ö ÀÖ´Â ÀÌÁ¡À» Á¦°øÇÕ´Ï´Ù. MLS Á¦°ø¾÷üµéÀº ÀÌ·¯ÇÑ Ãß¼¼¸¦ Ȱ¿ëÇÏ¿© °í°´ÀÇ Æ¯Á¤ ¿ä±¸¿¡ ¸Â´Â Á¾ÇÕÀûÀÎ ÀÌ·¯´× ¼Ö·ç¼ÇÀ» Á¦°øÇϰí, °ÔÀÓÈ, °¡»ó °ÀǽÇ, AI ±â¹Ý ÀûÀÀÇü ÇнÀ ¾Ë°í¸®ÁòÀ» ÅëÇØ ÇнÀÀÚÀÇ ´Ù¾çÇÑ ÇнÀ ¼±È£µµ¸¦ ÃæÁ·½Ãų ¼ö ÀÖ´Â Á¾ÇÕÀûÀÎ ÀÌ·¯´× ¼Ö·ç¼ÇÀ» Á¦°øÇÕ´Ï´Ù. AI ±â¹Ý ÀûÀÀÇü ÇнÀ ¾Ë°í¸®Áò°ú °°Àº °í±Þ ±â´ÉÀ» ÅëÇÕÇÏ¿© Âü¿©µµ¿Í È¿°ú¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼¿¡ µû¶ó ±â¾÷Àº Áö¸®Àû Á¦¾à°ú ½Ã°£Àû Á¦¾à°ú °°Àº ±âÁ¸ÀÇ ±³À° À庮À» ±Øº¹ÇÏ°í ±³À° ÀÌ´Ï¼ÅÆ¼ºê¿¡¼ ´õ ³ôÀº È¿À²¼º, ºñ¿ë È¿À²¼º, ¼ö°»ý ¸¸Á·µµ¸¦ ´Þ¼ºÇÒ ¼ö ÀÖ°Ô µÆ½À´Ï´Ù. ±× °á°ú, MLS Á¦°ø¾÷üµéÀº ÀÌ·¯´× ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ´ëÀÀÇÒ ¼ö ÀÖ´Â Àü·«Àû ÀÔÁö¸¦ ±¸ÃàÇÏ¿© ÇнÀ ¹× ±³À° ºÐ¾ßÀÇ Çõ½Å°ú º¯È¸¦ ÁÖµµÇϰí ÀÖ½À´Ï´Ù.
ÇнÀ ºÐ¼®¿¡ ÀΰøÁö´É(AI)°ú ¸Ó½Å·¯´×(ML)À» ÅëÇÕÇÏ´Â °ÍÀº °ü¸®Çü ÇнÀ ¼ºñ½º »ê¾÷¿¡ Å« ±âȸ¸¦ Á¦°øÇϰí ÀÖÀ¸¸ç, AI¿Í ML ±â¼úÀ» Ȱ¿ëÇÏ¿© MLS Á¦°ø¾÷ü´Â °³Àΰú Á¶Á÷ÀÇ ÇнÀ °æÇèÀÇ È¿°ú¼º, È¿À²¼º ¹× °³ÀÎȸ¦ °ÈÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼úÀº ¹æ´ëÇÑ ¾çÀÇ ÇнÀÀÚ µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ¿© ÆÐÅÏ, ¼±È£µµ, ÇнÀ °ÝÂ÷¸¦ ÆÄ¾ÇÇÏ¿© MLS Á¦°ø¾÷ü°¡ ƯÁ¤ ¿ä±¸¿¡ ¸Â°Ô ±³À° ÇÁ·Î±×·¥À» Á¶Á¤ÇÒ ¼ö ÀÖµµ·Ï Çϸç, AI ±â¹Ý Ãßõ ¿£ÁøÀº °³º° ÇнÀÀÚ ÇÁ·ÎÆÄÀϰú ¼º°ú ÁöÇ¥¸¦ ±â¹ÝÀ¸·Î °ü·Ã ÄÚ½º¿Í ÇнÀÀÚ¸¦ ÃßõÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. ¹× ¼º°ú ÁöÇ¥¸¦ ±â¹ÝÀ¸·Î °ü·Ã ÄÚ½º¿Í ¸®¼Ò½º¸¦ Á¦¾ÈÇÏ¿© ÇнÀÀÚÀÇ ÇнÀ ¿©Á¤À» ´õ¿í ¸Å·ÂÀûÀÌ°í ¸ñÇ¥¿¡ ¸Â°Ô Á¶Á¤ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ML ¾Ë°í¸®ÁòÀº ¹Ì·¡ ÇнÀ Æ®·»µå¸¦ ¿¹ÃøÇϰí, ±â¼ú ¼ö¿ä¸¦ ¿¹ÃøÇϸç, ÄÚ½º ³»¿ë ¹× Á¦°ø ¹æ¹ýÀ» ½Ç½Ã°£À¸·Î ÃÖÀûÈÇÕ´Ï´Ù. ÇнÀ ºÐ¼®¿¡¼ AI¿Í MLÀÇ ÈûÀ» Ȱ¿ëÇÔÀ¸·Î½á ¸Å´ÏÁöµå ·¯´× ¼ºñ½º ¾÷°è´Â Çõ½ÅÀ» ÃËÁøÇϰí, ÇнÀ ¼º°ú¸¦ Çâ»ó½Ã۸ç, °æÀïÀÌ Ä¡¿ÇØÁö´Â ¿ªµ¿ÀûÀÎ ½ÃÀå ȯ°æ¿¡¼ ¿ìÀ§¸¦ Á¡ÇÒ ¼ö ÀÖ½À´Ï´Ù.
¼¼°è ¸Å´ÏÁöµå ·¯´× ¼ºñ½º ½ÃÀå Á¶»ç¿¡¼ °í·ÁµÈ ÁÖ¿ä Áö¿ªÀº ¾Æ½Ã¾ÆÅÂÆò¾ç, ºÏ¹Ì, À¯·´, Áß³²¹Ì, ±âŸ ¶óƾ¾Æ¸Þ¸®Ä«ÀÔ´Ï´Ù. ºÏ¹Ì´Â 2023³â ¸Å´ÏÁöµå ·¯´× ¼ºñ½º ½ÃÀå ±Ô¸ð¸¦ Áö¹èÇß½À´Ï´Ù. ºñÁî´Ï½º ¹× °í°´ °æÇèÀ» °³¼±Çϱâ À§ÇØ AI ¹× Ŭ¶ó¿ìµå ¼ºñ½º¿Í °°Àº ÷´Ü ±â¼ú¿¡ ´ëÇÑ ÅõÀÚ°¡ Áõ°¡ÇÔ¿¡ µû¶ó ÀÌ Áö¿ªÀÇ ¼ºÀåÀ» °¡¼ÓÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÇÑÆí, ¾Æ½Ã¾ÆÅÂÆò¾çÀº µðÁöÅÐÈ º¸±Þ·ü Áõ°¡¿Í Ä¿³ØÆ¼µå ±â¼ú äÅ÷ü Áõ°¡·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº ¼ºÀå·üÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¿Â¶óÀÎ ÇнÀ Ç÷§ÆûÀÇ ºÎ»ó°ú ¿ø°Ý ±Ù¹«·ÎÀÇ ÀüȯÀ¸·Î ÀÎÇØ MLS´Â À¯¿¬Çϰí Á¢±ÙÇϱ⠽¬¿î ±³À° ¼Ö·ç¼ÇÀ» Á¦°øÇÏ´Â µ¥ ÀÌ»óÀûÀÔ´Ï´Ù. ¶ÇÇÑ, ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ÀηµéÀº ¸ÂÃãÇü ÇнÀ °æÇèÀ» ¿øÇϰí ÀÖÀ¸¸ç, MLS Á¦°ø¾÷üµéÀº ÀûÀÀÇü ÇнÀ ±â¼úÀ» ÅëÇØ À̸¦ ÃæÁ·½Ã۰í ÀÖ½À´Ï´Ù.
Global Managed Learning Service market is valued at approximately USD 3.97 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 10.3% over the forecast period 2024-2032. Managed learning service (MLS) offers organizations outsourced, end-to-end training solutions, enabling them to effectively manage their training requirements. This encompasses training outsourcing, learning outsourcing, training BPO, and learning BPO. By leveraging MLS, companies streamline their training processes, reduce administrative burdens, access expertise, and stay aligned with industry best practices. Furthermore, MLS helps improve cost savings, scalability, and enhance learning outcomes, allowing organizations to focus internal resources on core business activities. This leads to the creation of efficient, effective, and adaptable learning ecosystems to support employee growth and organizational success.
The growth of the managed learning service market is driven by several factors, including the increased demand for personalized learning experiences and the expansion of digital learning platforms and tools. The integration of AI and machine learning for adaptive learning solutions and the rising demand for cost-effective outsourcing of learning management solutions further strengthen the market's growth prospects. Additionally, the expansion of emerging markets with increasing education demands and the rise in specialized learning solutions for niche industries offer lucrative opportunities for market growth. The growing customization options to cater to diverse learner needs and the integration with HR systems for seamless talent development are anticipated to create numerous opportunities for the MLS market in the coming years. However, data privacy and security concerns, along with resistance to changing traditional learning methods, hamper the market's growth.
The trend of increased adoption of e-learning and digital learning platforms significantly impacts the MLS market. With the proliferation of digital technologies and the rise of remote work arrangements, there has been a surge in demand for flexible, accessible, and scalable learning solutions. E-learning platforms offer advantages such as anytime, anywhere access to training materials, self-paced learning modules, and interactive multimedia content, catering to the diverse learning preferences of modern learners. MLS providers leverage this trend by offering comprehensive e-learning solutions tailored to their clients' specific needs, integrating advanced features like gamification, virtual classrooms, and AI-driven adaptive learning algorithms to enhance engagement and effectiveness. This trend enables organizations to overcome traditional training barriers such as geographical constraints and scheduling conflicts, empowering them to achieve greater efficiency, cost-effectiveness, and learner satisfaction in their training initiatives. As a result, MLS providers strategically position themselves to capitalize on the growing demand for e-learning solutions, driving innovation and transformation in the learning and development landscape.
The integration of artificial intelligence (AI) and machine learning (ML) in learning analytics presents significant opportunities for the managed learning service industry. By leveraging AI and ML technologies, MLS providers enhance the effectiveness, efficiency, and personalization of learning experiences for individuals and organizations. These technologies enable the analysis of vast amounts of learner data to identify patterns, preferences, and learning gaps, allowing MLS providers to tailor training programs to meet specific needs. AI-powered recommendation engines suggest relevant courses and resources based on individual learner profiles and performance metrics, creating a more engaging and targeted learning journey. Additionally, ML algorithms predict future learning trends, anticipate skill demands, and optimize course content and delivery methods in real-time. By harnessing the power of AI and ML in learning analytics, managed learning service industries drive innovation, improve learning outcomes, and stay ahead in an increasingly competitive and dynamic market landscape.
The key regions considered for the global Managed Learning Service market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the managed learning service market size in 2023. The increase in investments in advanced technologies such as AI and cloud services to improve businesses and customer experiences is expected to drive growth in this region. Whereas, Asia-Pacific is expected to exhibit the highest growth during the forecast period, attributed to the increase in digitalization penetration and higher adoption of connected technology. The rise of online learning platforms and the shift to remote work make MLS ideal for delivering flexible, accessible training solutions. Also, workforces in Asia Pacific are increasingly seeking customized learning experiences, which MLS providers cater to through adaptive learning technologies.