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全球大规模语言模型 (LLM) 市场 - 全球和区域分析：按应用、按架构、按模型大小、按区域 - 分析和预测 (2024-2034)
市场调查报告书
商品编码
1472972

全球大规模语言模型 (LLM) 市场 - 全球和区域分析：按应用、按架构、按模型大小、按区域 - 分析和预测 (2024-2034)

Large Language Model (LLM) Market - A Global and Regional Analysis: Focus on Application, Architecture, Model Size, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5个工作天内

价格
简介目录

在各种关键因素和动态的推动下，全球大规模语言模型（LLM）市场规模正在快速成长。

考虑到乐观的情况，预计2024年市场规模为64亿美元，预计复合年增长率为29.61%，2034年达到856亿美元。这种成长的核心是各领域对增强自然语言处理能力的需求不断增长。法学硕士对于分析、理解和产生类人文本、为内容创建、客户服务和语言翻译提供创新解决方案至关重要。不断增长的数位内容生态系统以及对高效资料处理和分析工具的需求进一步放大了这种需求。

主要市场统计数据
预测期 2024-2034
2024年评估值 64亿美元
2034年预测 856亿美元
复合年增长率 29.61%

技术进步在市场扩张中发挥关键作用，特别是在机器学习演算法、运算能力和资料分析等领域。将法学硕士与最尖端科技结合，可以实现更准确、更符合情境的语言理解，推动法学硕士在从虚拟助理到内容生成平台等广泛应用中的采用。物联网（IoT）的发展和连网型设备的普及将增加法学硕士的效用并促进无缝人机互动。

此外，专注于资料隐私、安全和负责任地使用人工智慧的法律规范和道德准则正在影响市场动态。这些法规要求组织确保自动化决策流程透明和公平，并实施符合道德标准的法学硕士。全产业向数位转型的转变，加上策略性采用法学硕士以获得竞争优势，凸显了市场强劲的成长潜力。随着各行业继续利用数位资料来提高业务效率和创新，在改进和个人化数位互动的需求的推动下，全球法学硕士市场预计将持续扩张。

本报告研究了全球大规模语言模型 (LLM) 市场，并提供了市场概述、应用趋势、架构、模型大小、区域以及参与该市场的公司概况。

目录

执行摘要

第一章市场：产业展望

  • 趋势：当前和未来的影响评估
  • 供应链概览
  • 研发回顾
  • 监管状况
  • 相关利益者分析
  • 全球重大事件影响分析
  • 市场动态概览

第二章全球大规模语言模型 (LLM) 市场（按应用）

  • 应用细分
  • 应用概述
  • 全球大规模语言模型 (LLM) 市场（按应用）

第三章全球大规模语言模型 (LLM) 市场（按产品）

  • 产品细分
  • 产品概要
  • 按架构的全球大规模语言模型 (LLM) 市场
  • 全球大规模语言模型 (LLM) 市场（按模型大小）

第四章全球大规模语言模型 (LLM) 市场（按地区）

  • 全球大规模语言模式市场 – 按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 公司简介

  • 未来展望
  • 地理评估
    • 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
    • 其他的

第六章调查方法

简介目录
Product Code: DTA2036SA

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 Period2024 - 2034
2024 Evaluation$6.4 Billion
2034 Forecast$85.6 Billion
CAGR29.61%

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