½ÃÀ庸°í¼­
»óǰÄÚµå
1381637

¼¼°èÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå ±Ô¸ð Á¶»ç ¹× ¿¹Ãø : À¯Çüº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº° ºÐ¼®(2023-2030³â)

Global AI in Medical Writing Market Size Study & Forecast, by Type (Clinical Writing, Type Writing, Scientific Writing, Others), by End-use (Medical Devices, Pharmaceutical, Biotechnology, Others), and Regional Analysis, 2023-2030

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Bizwit Research & Consulting LLP | ÆäÀÌÁö Á¤º¸: ¿µ¹® | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

¼¼°è ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀåÀº 2022³â ¾à 6¾ï 9,080¸¸ ´Þ·¯·Î Æò°¡µÇ¸ç, ¿¹Ãø ±â°£ÀÎ 2023³âºÎÅÍ 2030³â±îÁö 12.44% ÀÌ»óÀÇ °ÇÀüÇÑ ¼ºÀå·ü·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¸ÞµðÄà ¶óÀÌÆÃ¿ë ÀΰøÁö´É(AI)Àº ÀÚ¿¬¾îó¸®(NLP), ¸Ó½Å·¯´× µî AI ±â¼úÀ» Àû¿ëÇÏ¿© ÀÇ·á ¹× ÇコÄÉ¾î °ü·Ã ±Û¾²±â¸¦ ´Ù¾çÇÑ Ãø¸é¿¡¼­ Áö¿øÇÏ°í °­È­ÇÏ´Â °ÍÀ» ¸»ÇÕ´Ï´Ù. ÀÇ·á Àü¹®°¡, ¿¬±¸ÀÚ, ÀÇ·á Ä¿¹Â´ÏÄÉÀÌ¼Ç ÆÀÀÌ Á¤È®ÇÏ°í °£°áÇÏ¸ç ¸Æ¶ô¿¡ ¸Â´Â ÀûÀýÇÑ ÀÇ·á ÄÁÅÙÃ÷¸¦ ÀÛ¼ºÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀåÀº ÀÚ¿¬¾î ó¸®(NLP)¿Í ¸Ó½Å·¯´×ÀÇ ¹ßÀü, ÀÇ·á µ¥ÀÌÅÍÀÇ ³ôÀº °¡¿ë¼º, Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ Ã¤Åà Áõ°¡, ±ÔÁ¦ Áؼö ¹× Ç¥ÁØÈ­ µîÀÇ ¿äÀÎÀ¸·Î ÀÎÇØ ¼ºÀåÇϰí ÀÖ½À´Ï´Ù.

¶ÇÇÑ, ¿ø°Ý ÀÇ·á ¹× ¿ø°Ý ÇコÄÉ¾î ¼­ºñ½º äÅÃÀÌ Áõ°¡Çϰí ÀÖ´Â °Íµµ ¼¼°è ½ÃÀå ¼ºÀåÀÇ ¿øµ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¿ø°Ý ±Ù¹« ¹× ¿ø°Ý ÀÇ·á ¼­ºñ½º·ÎÀÇ ±Þ¼ÓÇÑ ÀüȯÀ¸·Î ÀÎÇØ Á¤È®ÇÏ°í ½Ã±âÀûÀýÇÑ ÀÇ·á ¹®¼­È­¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡Çϰí ÀÖÀ¸¸ç, AI´Â À̸¦ ÃËÁøÇÒ ¼ö ÀÖ½À´Ï´Ù. Statista¿¡ µû¸£¸é 2019³â ¿ø°Ý ÀÇ·á ºÐ¾ß´Â Àü ¼¼°èÀûÀ¸·Î ¾à 499¾ï ´Þ·¯ÀÇ °¡Ä¡°¡ ÀÖ´Â °ÍÀ¸·Î Ãß»êµË´Ï´Ù. ¶ÇÇÑ ¾ÕÀ¸·Îµµ °è¼Ó ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç 2025³â¿¡´Â ¾à 2,779¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. µû¶ó¼­ ¾Õ¼­ ¾ð±ÞÇÑ ¿äÀεéÀº ÃßÁ¤ ±â°£ µ¿¾È ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀåÀÇ ¼ºÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, R&D Ȱµ¿¿¡ ´ëÇÑ ÅõÀÚ Áõ°¡¿Í CROÀÇ ¾Æ¿ô¼Ò½Ì Áõ°¡´Â ¿¹Ãø ±â°£ µ¿¾È ´Ù¾çÇÑ À¯¸®ÇÑ ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. ±×·¯³ª AI°¡ »ý¼ºÇÏ´Â ÄÁÅÙÃ÷ÀÇ Á¤È®¼º°ú ½Å·Ú¼º, ±âÁ¸ ÀÇ·á IT ½Ã½ºÅÛ ¹× ¿öÅ©Ç÷ο쿡 ´ëÇÑ ÅëÇÕÀÇ º¹À⼺¿¡ ´ëÇÑ ¿ì·Á°¡ ³ô¾ÆÁü¿¡ µû¶ó 2023³âºÎÅÍ 2030³â±îÁöÀÇ ¿¹Ãø ±â°£ µ¿¾È ½ÃÀå ¼ºÀå¿¡ µµÀüÀÌ µÉ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå Á¶»ç¿¡¼­ °í·ÁµÈ ÁÖ¿ä Áö¿ªÀº ¾Æ½Ã¾ÆÅÂÆò¾ç, ºÏ¹Ì, À¯·´, ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÔ´Ï´Ù. ºÏ¹Ì´Â ÇコÄÉ¾î ºÐ¾ßÀÇ ±Þ¼ÓÇÑ µðÁöÅÐÈ­, ÀÇ·á µ¥ÀÌÅÍ ¾çÀÇ Áõ°¡, ¸ÞµðÄà ¶óÀÌÆÃ ºñ¿ë Áõ°¡·Î ÀÎÇØ 2022³â ½ÃÀåÀ» ÁÖµµÇß½À´Ï´Ù. ¹Ý¸é, ¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGR·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. °³ÀÎ ¸ÂÃãÇü ÀÇ·á¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, Àεµ ¹× Áß±¹°ú °°Àº ½ÅÈï±¹ÀÇ ÀÓ»ó ¿¬±¸ ȯ°æ, ¿ø°Ý ÀÇ·á ¹× ¿ø°Ý ÇコÄÉ¾î ¼­ºñ½ºÀÇ ºÎ»óÀ¸·Î ÀÎÇØ ÀÌ Áö¿ª Àüü ½ÃÀå ¼ö¿ä°¡ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

ÀÌ Á¶»çÀÇ ¸ñÀûÀº ÃÖ±Ù ¸î ³â µ¿¾È ´Ù¾çÇÑ ºÎ¹®°ú ±¹°¡ÀÇ ½ÃÀå ±Ô¸ð¸¦ ÆÄ¾ÇÇϰí ÇâÈÄ ¸î ³â µ¿¾È ½ÃÀå ±Ô¸ð¸¦ ¿¹ÃøÇÏ´Â °ÍÀÔ´Ï´Ù. ÀÌ º¸°í¼­´Â Á¶»ç ´ë»ó ±¹°¡ÀÇ »ê¾÷ÀÇ ÁúÀû, ¾çÀû Ãø¸éÀ» Æ÷ÇÔÇϵµ·Ï ¼³°èµÇ¾ú½À´Ï´Ù.

¶ÇÇÑ ½ÃÀåÀÇ ¹Ì·¡ ¼ºÀåÀ» ±ÔÁ¤ÇÏ´Â ÃËÁø¿äÀΰú °úÁ¦¿Í °°Àº Áß¿äÇÑ Ãø¸é¿¡ ´ëÇÑ ÀÚ¼¼ÇÑ Á¤º¸µµ Á¦°øÇÕ´Ï´Ù. ¶ÇÇÑ, ÁÖ¿ä ±â¾÷ÀÇ °æÀï »óȲ°ú Á¦Ç° Á¦°ø¿¡ ´ëÇÑ »ó¼¼ÇÑ ºÐ¼®°ú ÇÔ²² ÀÌÇØ°ü°èÀÚµéÀÌ ÅõÀÚÇÒ ¼ö ÀÖ´Â ¹Ì½ÃÀû ½ÃÀå¿¡¼­ÀÇ ÀáÀçÀû ±âȸµµ Æ÷ÇÔÇÕ´Ï´Ù.

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ¼¼°èÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå Á¤ÀÇ¿Í ¹üÀ§

  • Á¶»ç ¸ñÀû
  • ½ÃÀå Á¤ÀÇ¿Í ¹üÀ§
    • ¾÷°èÀÇ ÁøÈ­
    • Á¶»ç ¹üÀ§
  • Á¶»ç ´ë»ó ¿¬µµ
  • ÅëÈ­ ȯ»êÀ²

Á¦3Àå ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå ¿ªÇÐ

  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀåÀÇ ¿µÇ⠺м®(2020-2030³â)
    • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
      • ¿ø°ÝÀÇ·á¿Í ¿ø°Ý ÇコÄÉ¾î ¼­ºñ½º ä¿ë Áõ°¡
      • ÇコÄÉ¾î µ¥ÀÌÅÍ Áõ°¡
    • ½ÃÀå °úÁ¦
      • AI°¡ »ý¼ºÇÏ´Â ÄÁÅÙÃ÷ÀÇ Á¤È®¼º°ú ½Å·Ú¼º¿¡ ´ëÇÑ ¿ì·Á °íÁ¶
      • ±âÁ¸ ÇコÄɾî IT ½Ã½ºÅÛ°ú ¿öÅ©Ç÷οì·ÎÀÇ ÅëÇÕÀÇ º¹À⼺
    • ½ÃÀå ±âȸ
      • ¿¬±¸°³¹ß Ȱµ¿¿¡ ´ëÇÑ ÅõÀÚ Áõ°¡
      • CRO ¾Æ¿ô¼Ò½Ì Áõ°¡

Á¦4Àå ¼¼°èÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå »ê¾÷ ºÐ¼®

  • Porter's 5 Force ¸ðµ¨
    • °ø±Þ ±â¾÷ÀÇ ±³¼··Â
    • ±¸¸ÅÀÚÀÇ ±³¼··Â
    • ½Å±Ô Âü¿©¾÷üÀÇ À§Çù
    • ´ëüǰÀÇ À§Çù
    • °æÀï ±â¾÷ °£ÀÇ °æÀï °ü°è
  • Porter's 5 Force ¿µÇ⠺м®
  • PEST ºÐ¼®
    • Á¤Ä¡
    • °æÁ¦
    • »çȸ
    • ±â¼ú
    • ȯ°æ
    • ¹ý·ü
  • ÁÖ¿ä ÅõÀÚ ±âȸ
  • ÁÖ¿ä ¼º°ø Àü·«
  • COVID-19 ¿µÇ⠺м®
  • ÆÄ±«Àû µ¿Çâ
  • ¾÷°è Àü¹®°¡ÀÇ °üÁ¡
  • ¾Ö³Î¸®½ºÆ®ÀÇ °á·Ð°ú Á¦¾È

Á¦5Àå ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : À¯Çüº°

  • ½ÃÀå ÇöȲ
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : À¯Çüº°, ½ÇÀû - ÀáÀ缺 ºÐ¼®
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : À¯Çüº° ÃßÁ¤¡¤¿¹Ãø 2020-2030³â
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå, ÇÏÀ§ ºÎ¹®º° ºÐ¼®
    • ÀÓ»ó ¶óÀÌÆÃ
    • ŸÀÔ ¶óÀÌÆÃ
    • »çÀ̾ðƼÇÈ ¶óÀÌÆÃ
    • ±âŸ

Á¦6Àå ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : ÃÖÁ¾ ¿ëµµº°

  • ½ÃÀå ÇöȲ
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : ÃÖÁ¾ ¿ëµµº°, ½ÇÀû - ÀáÀ缺 ºÐ¼®
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : ÃÖÁ¾ ¿ëµµº° ÃßÁ¤¡¤¿¹Ãø 2020-2030³â
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå, ÇÏÀ§ ºÎ¹® ºÐ¼®
    • ÀÇ·á±â±â
    • ÀǾàǰ
    • ¹ÙÀÌ¿ÀÅ×Å©³î·¯Áö
    • ±âŸ

Á¦7Àå ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ¼¼°è ½ÃÀå : Áö¿ªº° ºÐ¼®

  • ÁÖ¿ä ±¹°¡
  • ÁÖ¿ä ½ÅÈï ±¹°¡
  • ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå, Áö¿ªº° ½ÃÀå ÇöȲ
  • ºÏ¹Ì
    • ¹Ì±¹
      • À¯Çüº° ÃßÁ¤¡¤¿¹Ãø, 2020-2030³â
      • ÃÖÁ¾ ¿ëµµº° ÃßÁ¤¡¤¿¹Ãø, 2020-2030³â
    • ij³ª´Ù
  • À¯·´ÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå ÇöȲ
    • ¿µ±¹
    • µ¶ÀÏ
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ÀÌÅ»¸®¾Æ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå ÇöȲ
    • Áß±¹
    • Àεµ
    • ÀϺ»
    • È£ÁÖ
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ¶óƾ¾Æ¸Þ¸®Ä«ÀÇ ¸ÞµðÄà ¶óÀÌÆÃ¿ë AI ½ÃÀå ÇöȲ
    • ºê¶óÁú
    • ¸ß½ÃÄÚ
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦8Àå °æÀï Á¤º¸

  • ÁÖ¿ä ±â¾÷ SWOT ºÐ¼®
  • ÁÖ¿ä ½ÃÀå Àü·«
  • ±â¾÷ °³¿ä
    • Parexel International Corporation
      • ÁÖ¿ä Á¤º¸
      • °³¿ä
      • À繫(µ¥ÀÌÅÍ °¡¿ë¼º¿¡ µû¶ó ´Ù¸§)
      • Á¦Ç° °³¿ä
      • ÃÖ±ÙÀÇ µ¿Çâ
    • Trilogy Writing & Consulting GmbH
    • Freyr Solutions
    • Cactus Communications
    • GENINVO
    • International Business Machines Corporation
    • Elsevier
    • Articulate Science
    • Averbis GmbH
    • Quertle

Á¦9Àå Á¶»ç °úÁ¤

  • Á¶»ç °úÁ¤
    • µ¥ÀÌÅÍ ¸¶ÀÌ´×
    • ºÐ¼®
    • ½ÃÀå ÃßÁ¤
    • °ËÁõ
    • ÃâÆÇ
  • Á¶»ç ¼Ó¼º
  • Á¶»ç °¡Á¤
ksm 23.11.28

Global AI in Medical Writing Market is valued at approximately USD 690.80 million in 2022 and is anticipated to grow with a healthy growth rate of more than 12.44% over the forecast period 2023-2030. AI (Artificial Intelligence) in medical writing refers to the application of AI technologies, such as natural language processing (NLP) and machine learning, to assist and enhance various aspects of medical and healthcare-related writing tasks. AI-powered solutions are designed to support healthcare professionals, medical researchers, and medical communication teams in generating accurate, concise, and contextually appropriate medical content. The AI in Medical Writing Market is expanding because of factors such as the rising developments in Natural Language Processing (NLP) and Machine Learning, high availability of healthcare data, rise in adoption of cloud computing, and regulatory compliance and standardization.

In addition, the increasing adoption of telemedicine and remote healthcare services is acting as a catalyzing factor for market growth across the globe. The rapid shift towards remote work and telehealth services has created a need for accurate and timely medical documentation, which AI can facilitate. According to Statista, in 2019, the telemedicine sector was estimated to value at around USD 49.9 billion around the world. Also, it is anticipated to grow and is expected to reach about USD 277.9 billion by the year 2025. Thus, these aforementioned factors are propelling the growth of the AI in Medical Writing Market during the estimated period. Moreover, the increasing investment in research and development activities, as well as the rise in CRO outsourcing present various lucrative opportunities over the forecast years. However, the rising concerns about the accuracy and reliability of AI-generated content and integration complexity into existing healthcare IT systems and workflows are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global AI in Medical Writing Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rapid digitalization in the healthcare sector, increasing volume of medical data, and rising cost of medical writing. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The surging demand for personalized medicine, promising environment for clinical study in developing countries such as India and China, as well as rise of telemedicine and remote healthcare services are significantly propelling the market demand across the region.

Major market players included in this report are:

  • Parexel International Corporation
  • Trilogy Writing & Consulting GmbH
  • Freyr Solutions
  • Cactus Communications
  • GENINVO
  • International Business Machines Corporation
  • Elsevier
  • Articulate Science
  • Averbis GmbH
  • Quertle

Recent Developments in the Market:

  • In June 2022, Yesop- an AI and Natural Language Processing (NLP) specialized company, announced that the company partnered with Sanofi in order to enhance the automation of safety reports. The objective of this initiative is to help Sanofi significantly expedite its clinical trial dossier submission workflows with Yesop's technology,

Global AI in Medical Writing Market Report Scope:

  • Historical Data - 2020 - 2021
  • Base Year for Estimation - 2022
  • Forecast period - 2023-2030
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered - Type, End-use, Region
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

  • Clinical Writing
  • Type Writing
  • Scientific Writing
  • Others

By End-use:

  • Medical Devices
  • Pharmaceutical
  • Biotechnology
  • Others

By Region:

  • North America
    • U.S.
    • Canada
    • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • ROE
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • RoAPAC
    • Latin America
    • Brazil
    • Mexico
  • Middle East & Africa
    • Saudi Arabia
    • South Africa
    • Rest of Middle East & Africa

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
    • 1.2.1. AI in Medical Writing Market, by Region, 2020-2030 (USD Million)
    • 1.2.2. AI in Medical Writing Market, by Type, 2020-2030 (USD Million)
    • 1.2.3. AI in Medical Writing Market, by End-use, 2020-2030 (USD Million)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global AI in Medical Writing Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Industry Evolution
    • 2.2.2. Scope of the Study
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global AI in Medical Writing Market Dynamics

  • 3.1. AI in Medical Writing Market Impact Analysis (2020-2030)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Increasing adoption of telemedicine and remote healthcare services
      • 3.1.1.2. Rising availability of healthcare data
    • 3.1.2. Market Challenges
      • 3.1.2.1. Rising concerns about the accuracy and reliability of AI-generated content
      • 3.1.2.2. Integration complexity into existing healthcare IT systems and workflows
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Increasing investment in the research and development activities
      • 3.1.3.2. Rise in CRO outsourcing

Chapter 4. Global AI in Medical Writing Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Impact Analysis
  • 4.3. PEST Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top investment opportunity
  • 4.5. Top winning strategies
  • 4.6. COVID-19 Impact Analysis
  • 4.7. Disruptive Trends
  • 4.8. Industry Expert Perspective
  • 4.9. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Medical Writing Market, by Type

  • 5.1. Market Snapshot
  • 5.2. Global AI in Medical Writing Market by Type, Performance - Potential Analysis
  • 5.3. Global AI in Medical Writing Market Estimates & Forecasts by Type 2020-2030 (USD Million)
  • 5.4. AI in Medical Writing Market, Sub Segment Analysis
    • 5.4.1. Clinical Writing
    • 5.4.2. Type Writing
    • 5.4.3. Scientific Writing
    • 5.4.4. Others

Chapter 6. Global AI in Medical Writing Market, by End-use

  • 6.1. Market Snapshot
  • 6.2. Global AI in Medical Writing Market by End-use, Performance - Potential Analysis
  • 6.3. Global AI in Medical Writing Market Estimates & Forecasts by End-use 2020-2030 (USD Million)
  • 6.4. AI in Medical Writing Market, Sub Segment Analysis
    • 6.4.1. Medical Devices
    • 6.4.2. Pharmaceutical
    • 6.4.3. Biotechnology
    • 6.4.4. Others

Chapter 7. Global AI in Medical Writing Market, Regional Analysis

  • 7.1. Top Leading Countries
  • 7.2. Top Emerging Countries
  • 7.3. AI in Medical Writing Market, Regional Market Snapshot
  • 7.4. North America AI in Medical Writing Market
    • 7.4.1. U.S. AI in Medical Writing Market
      • 7.4.1.1. Type breakdown estimates & forecasts, 2020-2030
      • 7.4.1.2. End-use breakdown estimates & forecasts, 2020-2030
    • 7.4.2. Canada AI in Medical Writing Market
  • 7.5. Europe AI in Medical Writing Market Snapshot
    • 7.5.1. U.K. AI in Medical Writing Market
    • 7.5.2. Germany AI in Medical Writing Market
    • 7.5.3. France AI in Medical Writing Market
    • 7.5.4. Spain AI in Medical Writing Market
    • 7.5.5. Italy AI in Medical Writing Market
    • 7.5.6. Rest of Europe AI in Medical Writing Market
  • 7.6. Asia-Pacific AI in Medical Writing Market Snapshot
    • 7.6.1. China AI in Medical Writing Market
    • 7.6.2. India AI in Medical Writing Market
    • 7.6.3. Japan AI in Medical Writing Market
    • 7.6.4. Australia AI in Medical Writing Market
    • 7.6.5. South Korea AI in Medical Writing Market
    • 7.6.6. Rest of Asia Pacific AI in Medical Writing Market
  • 7.7. Latin America AI in Medical Writing Market Snapshot
    • 7.7.1. Brazil AI in Medical Writing Market
    • 7.7.2. Mexico AI in Medical Writing Market
  • 7.8. Middle East & Africa AI in Medical Writing Market
    • 7.8.1. Saudi Arabia AI in Medical Writing Market
    • 7.8.2. South Africa AI in Medical Writing Market
    • 7.8.3. Rest of Middle East & Africa AI in Medical Writing Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
    • 8.1.1. Company 1
    • 8.1.2. Company 2
    • 8.1.3. Company 3
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. Parexel International Corporation
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Recent Developments
    • 8.3.2. Trilogy Writing & Consulting GmbH
    • 8.3.3. Freyr Solutions
    • 8.3.4. Cactus Communications
    • 8.3.5. GENINVO
    • 8.3.6. International Business Machines Corporation
    • 8.3.7. Elsevier
    • 8.3.8. Articulate Science
    • 8.3.9. Averbis GmbH
    • 8.3.10. Quertle

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes
  • 9.3. Research Assumption
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦