대규모 언어 모델(LLM) 시장 기회와 전략(-2034년)
Large Language Model (LLM) Global Market Opportunities And Strategies To 2034
상품코드 : 1729111
리서치사 : The Business Research Company
발행일 : 2025년 05월
페이지 정보 : 영문 362 Pages
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한글목차

세계의 대규모 언어 모델(LLM) 시장 규모는 2019년 17억 1,664만 달러였고 2024년까지 29.00% 이상의 CAGR로 성장했습니다.

의료 및 생명 과학에서 AI 채용 증가

의료 및 생명 과학에서 AI 채용 증가는 과거 기간 동안 LLM 시장의 성장을 가속했습니다. 최적화, 치료의 개별화, 관리 업무의 합리화, 효율 향상과 비용 절감을 실현합니다. 2024년 8월, 451 Research가 실시하고 고성능 IaaS(Infrastructure-as-a-Service) 솔루션을 제공하는 미국의 클라우드 컴퓨팅 기업인 Vultr이 위탁한 조사에 따르면 의료 및 생명과학 응답자의 48%가 향후 5년간 산업용 네트워킹에서 가장 영향력 있는 기술적 진보는 AI로 보고 있습니다. 이 조직은 평균 170의 AI 모델을 전개하고 있으며, 다른 부문을 능가하고 있습니다. 미국의 경영 컨설팅 기업 Bain & Company, Inc.에 따르면 2023년 9월 미국 의료 제공업체는 IT와 소프트웨어에 대한 지출을 가속화했으며, 약 80%의 경영 간부가 신기술, 노동력 부족, 비용 압력 등을 이유로 예산을 증가시켰습니다. AI 전략을 책정하고 있는 의료 기관은 약 6%였지만, 약 50%가 적극적으로 책정 또는 계획하고 있어 AI의 변혁적 가능성이 부각되고 있습니다.

이 보고서는 세계 대규모 언어 모델(LLM) 시장에 대한 조사 분석을 통해 시장 특징, 각 지역 시장 규모 및 예측, 경쟁 구도, 시장 기회 및 전략 등의 정보를 제공합니다.

목차

제1장 주요 요약

제2장 목차

제3장 표 목록

제4장 그림 목록

제5장 보고서 구성

제6장 시장 특징

제7장 주요 시장 동향

제8장 대규모 언어 모델(LLM) 시장 - 거시경제 시나리오

제9장 세계의 대규모 언어 모델(LLM) 성장 분석, 전략적 분석 프레임워크

제10장 세계의 대규모 언어 모델(LLM) 시장 세분화

제11장 대규모 언어 모델(LLM) 시장, 지역 및 국가 분석

제12장 아시아태평양 시장

제13장 서유럽 시장

제14장 동유럽 시장

제15장 북미 시장

제16장 남미 시장

제17장 중동 시장

제18장 아프리카 시장

제19장 경쟁 구도와 기업 프로파일

제20장 기타 주요 기업과 혁신적 기업

제21장 경쟁 벤치마킹

제22장 경쟁 대시보드

제23장 주요 인수합병(M&A)

제24장 대규모 언어 모델(LLM) 시장의 최근 발전

제25장 기회와 전략(-2034년)

제26장 대규모 언어 모델(LLM) 시장 : 결론과 제안

제27장 부록

JHS
영문 목차

영문목차

Large Language Model (LLM) refers to advanced artificial intelligence (AI) systems designed to understand, generate and process human language. LLMs are built using deep learning techniques, particularly transformer architectures, which enable them to handle vast amounts of text data and perform a variety of natural language processing (NLP) tasks. LLMs must meet specific performance and ethical standards to ensure accuracy, reliability and responsible usage in different applications without causing harm or bias in the output.

The LLM market consists of sales, by entities (organizations, sole traders, or partnerships), of LLM-based solutions that encompass the development, deployment and distribution of models tailored to meet the specific requirements of industries such as technology, finance, healthcare, education and entertainment. LLMs are vital tools for various sectors due to their versatility, scalability and efficiency in automating tasks like content generation, customer support, data analysis and language translation. Users of LLMs range across industries and include tech companies, research institutions, government bodies and businesses looking to enhance productivity through AI-driven insights.

The global large language model (LLM) market was valued at $1,716.64 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 29.00%.

Rise In Adoption Of AI In Healthcare and Life Sciences

The rise in the adoption of artificial intelligence (AI) in healthcare and life sciences fueled the growth of the LLM market during the historic period. AI adoption in healthcare and life sciences has advanced diagnostics, accelerated drug discovery and improved patient care. AI-driven solutions optimize medical imaging, personalized treatments and streamline administrative tasks, enhancing efficiency and reducing costs. Pharmaceutical firms use AI for faster clinical trials, while hospitals integrate AI tools to improve workflows, driving widespread adoption and market growth. For instance, in August 2024, according to a study conducted by 451 Research and commissioned by Vultr, a US-based cloud computing company offering high-performance infrastructure-as-a-service (IaaS) solutions, 48% of healthcare and life sciences respondents saw AI as the most impactful technological advancement in industrial networking over the next five years, with 49% expecting improvements in network management. These organizations have deployed an average of 170 AI models, surpassing other sectors. AI adoption is driving business growth, with 81% of AI-mature enterprises outperforming in 2023, 80% reporting higher customer satisfaction, and 82% experiencing improved revenue growth. Additionally, in September 2023, according to Bain & Company, Inc., a US-based management consulting company, US healthcare providers accelerated IT and software spending, with nearly 80% of executives increasing budgets due to emerging technologies, labor shortages, and cost pressures. Nearly two-thirds prioritized existing vendors, particularly electronic health record providers, for new functionality. Around 6% of health systems had a generative AI strategy, while about 50% actively developed or planned one, underscoring AI's transformative potential. Therefore, the rise in adoption of AI in healthcare drove the growth of the LLM market.

Strategic Partnerships And Collaborations Among Major Players In The Market

Major large language model (LLM) companies are forging strategic partnerships and collaborations to accelerate innovation and market expansion. These alliances focus on data access, joint artificial intelligence (AI) research and tailored enterprise solutions. By combining expertise and resources, firms enhance model accuracy, improve scalability and drive broader adoption across industries, strengthening their competitive edge in the evolving AI landscape. For instance, in December 2024, Apple, a US-based technology company and Nvidia Corporation, a US-based technology company offering full-stack computing infrastructure, partnered to enhance the performance of large language models (LLMs) through an advanced text generation technique. This innovation accelerates AI applications, improving efficiency across industries that depend on powerful language models. The collaboration leverages NVIDIA's high-performance computing expertise and Apple's AI-driven ecosystem to deliver faster, more scalable solutions. Businesses in finance, healthcare and customer service stand to benefit from improved processing speeds and responsiveness, driving greater adoption of AI-powered technologies.

The global large language model (LLM) markets are fragmented, with a large number of players operating in the market. The top 3 competitors in the market made up 8.92% of the total market in 2023.

Large Language Model (LLM) Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global large language model (LLM) market as it emerges from the COVID-19 shut down.

Reasons to Purchase

Where is the largest and fastest-growing market for large language model (LLM)? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The large language model (LLM) market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider large language model (LLM) market; and compares it with other markets.

The report covers the following chapters

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

6 Market Characteristics

7 Major Market Trends

8 Large Language Model (LLM) Market - Macro Economic Scenario

9 Global Large Language Model (LLM) Growth Analysis And Strategic Analysis Framework

10 Global Large Language Model (LLM) Market Segmentation

11 Large Language Model (LLM) Market, Regional and Country Analysis

12 Asia-Pacific Market

13 Western Europe Market

14 Eastern Europe Market

15 North America Market

16 South America Market

17 Middle East Market

18 Africa Market

19 Competitive Landscape And Company Profiles

20 Other Major And Innovative Companies

21 Competitive Benchmarking

22 Competitive Dashboard

23 Key Mergers And Acquisitions

24 Recent Developments in Large Language Model (LLM) Market

25 Opportunities And Strategies To 2034

26 Large Language Model (LLM) Market, Conclusions And Recommendations

27 Appendix

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