세계의 대규모 언어 모델(LLM) 시장 : 세계 및 지역별 분석 - 용도별, 아키텍처별, 모델 사이즈별, 지역별 - 분석과 예측(2024-2034년)

Large Language Model (LLM) Market - A Global and Regional Analysis: Focus on Application, Architecture, Model Size, and Region - Analysis and Forecast, 2024-2034

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한글목차

세계의 대규모 언어 모델(LLM) 시장 규모는 다양한 중요한 요인 및 역학에 의해 지원되어 급성장을 달성하고 있습니다.

낙관적 시나리오를 고려하면 2024년 시장 규모는 64억 달러에 달할 것으로 보이며, 향후 29.61%의 CAGR로 확대하며, 2034년에는 856억 달러에 달할 것으로 예측되고 있습니다. 이러한 성장의 중심에는 다양한 분야에서 강화된 자연어 처리 능력에 대한 수요가 증가하고 있으며, LLM은 인간과 같은 텍스트를 분석, 이해, 생성하고 컨텐츠 제작, 고객 서비스, 언어 번역을 위한 혁신적인 솔루션을 제공하는 데 있으며, 매우 중요합니다. 이러한 수요는 디지털 컨텐츠 생태계가 확대되고 효율적인 데이터 처리 및 분석 툴의 필요성이 증가함에 따라 더욱 확대되고 있습니다.

주요 시장 통계
예측 기간	2024-2034년
2024년의 평가액	64억 달러
2034년 예측	856억 달러
CAGR	29.61%

기술의 발전, 특히 머신러닝 알고리즘, 컴퓨팅 파워, 데이터 분석 등의 분야에서 시장 확대에 중요한 역할을 하고 있으며, LLM을 첨단 기술과 통합하여 보다 정확하고 문맥에 맞는 언어 이해를 가능하게 함으로써 가상 비서부터 컨텐츠 생성 플랫폼에 이르기까지 다양한 분야에서 LLM의 채택을 촉진하고 있습니다. 다양한 분야에서 LLM의 채택을 촉진하고 있습니다. 사물인터넷(IoT)의 성장과 커넥티드 디바이스의 보급은 LLM의 유용성을 높이고 인간과 기계의 원활한 상호작용을 촉진할 것입니다.

또한 데이터 프라이버시, 보안, 책임감 있는 AI 사용에 초점을 맞춘 규제 프레임워크와 윤리적 가이드라인이 시장 역학에 영향을 미치고 있습니다. 이러한 규제는 조직에 자동화된 의사결정 과정의 투명성과 공정성을 보장하고 윤리 기준을 준수하는 LLM을 도입할 것을 요구하고 있습니다. 업계 전반의 디지털 전환과 경쟁 우위를 위한 LLM의 전략적 도입이 결합되면서 시장의 강력한 성장 잠재력이 부각되고 있습니다. 산업계가 업무 효율성과 혁신을 위해 디지털 데이터를 지속적으로 활용함에 따라 세계 LLM 시장은 디지털 상호 작용의 개선과 개인화의 필요성에 힘입어 지속적으로 확대될 것으로 예상됩니다.

세계의 대규모 언어 모델(LLM) 시장에 대해 조사했으며, 시장의 개요와 용도별, 아키텍처별, 모델 사이즈별, 지역별 동향 및 시장에 참여하는 기업 개요 등을 제공하고 있습니다.

목차

주요 요약

제1장 시장 : 업계의 전망

• 동향 : 현재 및 향후 영향 평가
• 공급망의 개요
• R&D 리뷰
• 규제 상황
• 이해관계자 분석
• 주요 세계 이벤트의 영향 분석
• 시장 역학의 개요

제2장 세계의 대규모 언어 모델(LLM) 시장, 용도별

• 용도 세분화
• 용도의 개요
• 용도별 세계의 대규모 언어 모델(LLM) 시장

제3장 세계의 대규모 언어 모델(LLM) 시장, 제품별

• 제품 세분화
• 제품 개요
• 세계의 대규모 언어 모델(LLM) 시장, 아키텍처별
• 세계의 대규모 언어 모델(LLM) 시장, 모델 사이즈별

제4장 세계의 대규모 언어 모델(LLM) 시장, 지역별

• 세계의 대규모 언어 모델 시장 - 지역별
• 북미
• 유럽
• 아시아태평양
• 기타 지역

제5장 기업 개요

• 향후 전망
• 지역적 평가
  • OpenAI
  • Google
  • Meta
  • AI21 Labs
  • Cohere
  • Anthropic PBC
  • Microsoft Corporation
  • Huawei Technologies Co., Ltd.
  • Naver Corporation
  • Tencent
  • Yandex
  • NVIDIA Corporation
  • Baidu Online Network Technology Co., Ltd.
  • Hewlett Packard Enterprise Development LP
  • Alibaba Group Holding Limited
  • 기타

제6장 조사 방법

KSA

영문 목차

영문목차

Introduction to the Large Language Model (LLM) Market

The global large language model (LLM) market is experiencing a significant surge, propelled by a variety of key factors and dynamics. Considering the optimistic scenario, the market is valued at $6.4 billion in 2024 and is expected to grow at a CAGR of 29.61% to reach $85.6 billion by 2034. Central to this growth is the increasing demand for enhanced natural language processing capabilities across various sectors. LLMs are pivotal in analyzing, understanding, and generating human-like text, offering innovative solutions for content creation, customer service, and language translation. This demand is further magnified by the expanding digital content ecosystem and the need for efficient data processing and analysis tools.

KEY MARKET STATISTICS
Forecast Period	2024 - 2034
2024 Evaluation	$6.4 Billion
2034 Forecast	$85.6 Billion
CAGR	29.61%

Technological advancements play a significant role in market expansion, especially in areas such as machine learning algorithms, computational power, and data analytics. The integration of LLMs with cutting-edge technologies enables more accurate and context-aware language understanding, driving the adoption of LLMs in applications ranging from virtual assistants to content-generation platforms. The growth of the Internet of Things (IoT) and the proliferation of connected devices enhance the utility of LLMs, facilitating seamless human-machine interactions.

Moreover, regulatory frameworks and ethical guidelines focusing on data privacy, security, and responsible AI use are influencing market dynamics. These regulations compel organizations to deploy LLMs that comply with ethical standards, ensuring transparency and fairness in automated decision-making processes. The transition toward digital transformation across industries, coupled with the strategic implementation of LLMs for competitive advantage, underscores the market's potential for robust growth. As industries continue to leverage digital data for operational efficiency and innovation, the global LLM market is poised for sustained expansion, driven by the necessity to improve and personalize digital interactions.

Market Segmentation

Segmentation 1: by Application

• Information Retrieval
• Language Translation and Localization
• Content Generation and Curation
• Code Generation
• Customer Service Automation
• Data Analysis
• Others

Segmentation 2: by Architecture

• Autoregressive Language Models
• Autoencoding Language Models
• Hybrid Language Models
• Others

Segmentation 3: by Model Size

• Below 100 Billion Parameters
• 100 Billion to 500 Billion Parameters
• Above 500 Billion Parameters
• Others

Segmentation 4: by Region

• North America
• Europe
• Asia-Pacific
• Rest-of-the-World

Key Market Players and Competition Synopsis

The companies that are profiled in the global large language model market have been selected based on input gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

Some of the prominent companies in this market are:

• OpenAI
• Google
• Meta
• Microsoft Corporation
• Tencent
• Yandex

Key Questions Answered in this Report:

• What are the main factors driving the demand for large language model market?
• What are the major patents filed by the companies active in the global large language model market?
• Who are the key players in the global large language model market, and what are their respective market shares?
• What partnerships or collaborations are prominent among stakeholders in the global large language model market?
• What are the strategies adopted by the key companies to gain a competitive edge in large language model industry?
• What is the futuristic outlook for the large language model market in terms of growth potential?
• What is the current estimation of the global large language model market, and what growth trajectory is projected from 2024 to 2034?
• Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
• What could be the impact of growing end-use industries in the global large language model market?
• Which regions demonstrate the highest adoption rates for global large language model market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

• 1.1 Trends: Current and Future Impact Assessment
  • 1.1.1 Continued Push Towards Larger and More Capable Models
  • 1.1.2 Increasing Integration into Business Applications
• 1.2 Supply Chain Overview
  • 1.2.1 Value Chain Analysis
  • 1.2.2 Market Map
• 1.3 R&D Review
  • 1.3.1 Patent Filing Trend by Country, by Company
• 1.4 Regulatory Landscape
• 1.5 Stakeholder Analysis
  • 1.5.1 Use Case
  • 1.5.2 End User and Buying Criteria
• 1.6 Impact Analysis for Key Global Events
• 1.7 Market Dynamics Overview
  • 1.7.1 Market Drivers
  • 1.7.2 Market Restraints
  • 1.7.3 Market Opportunities

2. Global Large Language Model Market by Application

• 2.1 Application Segmentation
• 2.2 Application Summary
• 2.3 Global Large Language Model Market by Application
  • 2.3.1 Information Retrieval
  • 2.3.2 Language Translation and Localization
  • 2.3.3 Content Generation and Curation
  • 2.3.4 Code Generation
  • 2.3.5 Customer Service Automation
  • 2.3.6 Data Analysis
  • 2.3.7 Others

3. Global Large Language Model Market by Products

• 3.1 Product Segmentation
• 3.2 Product Summary
• 3.3 Global Large Language Model Market by Architecture
  • 3.3.1 Autoregressive Language Models
  • 3.3.2 Autoencoding Language Models
  • 3.3.3 Hybrid Language Models
  • 3.3.4 Others
• 3.4 Global Large Language Model Market by Model Size
  • 3.4.1 Below 100 Billion Parameters
  • 3.4.2 100 Billion to 500 Billion Parameters
  • 3.4.3 Above 500 Billion Parameters
  • 3.4.4 Others

4. Global Large Language Model Market by Region

• 4.1 Global Large Language Model Market - by Region
• 4.2 North America
  • 4.2.1 Regional Overview
  • 4.2.2 Driving Factors for Market Growth
  • 4.2.3 Factors Challenging the Market
  • 4.2.4 Application
  • 4.2.5 Product
  • 4.2.6 U.S.
    • 4.2.6.1 Market by Application
    • 4.2.6.2 Market by Product
  • 4.2.7 Canada
    • 4.2.7.1 Market by Application
    • 4.2.7.2 Market by Product
• 4.3 Europe
  • 4.3.1 Regional Overview
  • 4.3.2 Driving Factors for Market Growth
  • 4.3.3 Factors Challenging the Market
  • 4.3.4 Application
  • 4.3.5 Product
  • 4.3.6 Germany
    • 4.3.6.1 Market by Application
    • 4.3.6.2 Market by Product
  • 4.3.7 France
    • 4.3.7.1 Market by Application
    • 4.3.7.2 Market by Product
  • 4.3.8 U.K.
    • 4.3.8.1 Market by Application
    • 4.3.8.2 Market by Product
  • 4.3.9 Rest-of-Europe
    • 4.3.9.1 Market by Application
    • 4.3.9.2 Market by Product
• 4.4 Asia-Pacific
  • 4.4.1 Regional Overview
  • 4.4.2 Driving Factors for Market Growth
  • 4.4.3 Factors Challenging the Market
  • 4.4.4 Application
  • 4.4.5 Product
  • 4.4.6 China
    • 4.4.6.1 Market by Application
    • 4.4.6.2 Market by Product
  • 4.4.7 Japan
    • 4.4.7.1 Market by Application
    • 4.4.7.2 Market by Product
  • 4.4.8 India
    • 4.4.8.1 Market by Application
    • 4.4.8.2 Market by Product
  • 4.4.9 South Korea
    • 4.4.9.1 Market by Application
    • 4.4.9.2 Market by Product
  • 4.4.10 Rest-of-Asia-Pacific
    • 4.4.10.1 Market by Application
    • 4.4.10.2 Market by Product
• 4.5 Rest-of-the-World
  • 4.5.1 Regional Overview
  • 4.5.2 Driving Factors for Market Growth
  • 4.5.3 Factors Challenging the Market
  • 4.5.4 Application
  • 4.5.5 Product
  • 4.5.6 South America
    • 4.5.6.1 Market by Application
    • 4.5.6.2 Market by Product
  • 4.5.7 Middle East and Africa
    • 4.5.7.1 Market by Application
    • 4.5.7.2 Market by Product

5. Companies Profiled

• 5.1 Next Frontiers
• 5.2 Geographic Assessment
  • 5.2.1 OpenAI
    • 5.2.1.1 Overview
    • 5.2.1.2 Top Products/Product Portfolio
    • 5.2.1.3 Top Competitors
    • 5.2.1.4 Target Customers
    • 5.2.1.5 Key Personnel
    • 5.2.1.6 Analyst View
    • 5.2.1.7 Market Share
  • 5.2.2 Google
    • 5.2.2.1 Overview
    • 5.2.2.2 Top Products/Product Portfolio
    • 5.2.2.3 Top Competitors
    • 5.2.2.4 Target Customers
    • 5.2.2.5 Key Personnel
    • 5.2.2.6 Analyst View
    • 5.2.2.7 Market Share
  • 5.2.3 Meta
    • 5.2.3.1 Overview
    • 5.2.3.2 Top Products/Product Portfolio
    • 5.2.3.3 Top Competitors
    • 5.2.3.4 Target Customers
    • 5.2.3.5 Key Personnel
    • 5.2.3.6 Analyst View
    • 5.2.3.7 Market Share
  • 5.2.4 AI21 Labs
    • 5.2.4.1 Overview
    • 5.2.4.2 Top Products/Product Portfolio
    • 5.2.4.3 Top Competitors
    • 5.2.4.4 Target Customers
    • 5.2.4.5 Key Personnel
    • 5.2.4.6 Analyst View
    • 5.2.4.7 Market Share
  • 5.2.5 Cohere
    • 5.2.5.1 Overview
    • 5.2.5.2 Top Products/Product Portfolio
    • 5.2.5.3 Top Competitors
    • 5.2.5.4 Target Customers
    • 5.2.5.5 Key Personnel
    • 5.2.5.6 Analyst View
    • 5.2.5.7 Market Share
  • 5.2.6 Anthropic PBC
    • 5.2.6.1 Overview
    • 5.2.6.2 Top Products/Product Portfolio
    • 5.2.6.3 Top Competitors
    • 5.2.6.4 Target Customers
    • 5.2.6.5 Key Personnel
    • 5.2.6.6 Analyst View
    • 5.2.6.7 Market Share
  • 5.2.7 Microsoft Corporation
    • 5.2.7.1 Overview
    • 5.2.7.2 Top Products/Product Portfolio
    • 5.2.7.3 Top Competitors
    • 5.2.7.4 Target Customers
    • 5.2.7.5 Key Personnel
    • 5.2.7.6 Analyst View
    • 5.2.7.7 Market Share
  • 5.2.8 Huawei Technologies Co., Ltd.
    • 5.2.8.1 Overview
    • 5.2.8.2 Top Products/Product Portfolio
    • 5.2.8.3 Top Competitors
    • 5.2.8.4 Target Customers
    • 5.2.8.5 Key Personnel
    • 5.2.8.6 Analyst View
    • 5.2.8.7 Market Share
  • 5.2.9 Naver Corporation
    • 5.2.9.1 Overview
    • 5.2.9.2 Top Products/Product Portfolio
    • 5.2.9.3 Top Competitors
    • 5.2.9.4 Target Customers
    • 5.2.9.5 Key Personnel
    • 5.2.9.6 Analyst View
    • 5.2.9.7 Market Share
  • 5.2.10 Tencent
    • 5.2.10.1 Overview
    • 5.2.10.2 Top Products/Product Portfolio
    • 5.2.10.3 Top Competitors
    • 5.2.10.4 Target Customers
    • 5.2.10.5 Key Personnel
    • 5.2.10.6 Analyst View
    • 5.2.10.7 Market Share
  • 5.2.11 Yandex
    • 5.2.11.1 Overview
    • 5.2.11.2 Top Products/Product Portfolio
    • 5.2.11.3 Top Competitors
    • 5.2.11.4 Target Customers
    • 5.2.11.5 Key Personnel
    • 5.2.11.6 Analyst View
    • 5.2.11.7 Market Share
  • 5.2.12 NVIDIA Corporation
    • 5.2.12.1 Overview
    • 5.2.12.2 Top Products/Product Portfolio
    • 5.2.12.3 Top Competitors
    • 5.2.12.4 Target Customers
    • 5.2.12.5 Key Personnel
    • 5.2.12.6 Analyst View
    • 5.2.12.7 Market Share
  • 5.2.13 Baidu Online Network Technology Co., Ltd.
    • 5.2.13.1 Overview
    • 5.2.13.2 Top Products/Product Portfolio
    • 5.2.13.3 Top Competitors
    • 5.2.13.4 Target Customers
    • 5.2.13.5 Key Personnel
    • 5.2.13.6 Analyst View
    • 5.2.13.7 Market Share
  • 5.2.14 Hewlett Packard Enterprise Development LP
    • 5.2.14.1 Overview
    • 5.2.14.2 Top Products/Product Portfolio
    • 5.2.14.3 Top Competitors
    • 5.2.14.4 Target Customers
    • 5.2.14.5 Key Personnel
    • 5.2.14.6 Analyst View
    • 5.2.14.7 Market Share
  • 5.2.15 Alibaba Group Holding Limited
    • 5.2.15.1 Overview
    • 5.2.15.2 Top Products/Product Portfolio
    • 5.2.15.3 Top Competitors
    • 5.2.15.4 Target Customers
    • 5.2.15.5 Key Personnel
    • 5.2.15.6 Analyst View
    • 5.2.15.7 Market Share
  • 5.2.16 Others

6. Research Methodology

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