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全球大規模語言模型 (LLM) 市場 - 全球和區域分析：按應用、按架構、按模型大小、按區域 - 分析和預測 (2024-2034)
市場調查報告書
商品編碼
1472972

全球大規模語言模型 (LLM) 市場 - 全球和區域分析：按應用、按架構、按模型大小、按區域 - 分析和預測 (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個工作天內

價格
簡介目錄

在各種關鍵因素和動態的推動下，全球大規模語言模型（LLM）市場規模正在快速成長。

考慮到樂觀的情況，預計2024年市場規模為64億美元，預計年複合成長率為29.61%，2034年達到856億美元。這種成長的核心是各領域對增強自然語言處理能力的需求不斷成長。法學碩士對於分析、理解和產生類人文本、為內容創建、客戶服務和語言翻譯提供創新解決方案至關重要。不斷成長的數位內容生態系統以及對高效資料處理和分析工具的需求進一步放大了這種需求。

主要市場統計數據
預測期 2024-2034
2024年評估值 64億美元
2034年預測 856億美元
年複合成長率 29.61%

技術進步在市場擴張中發揮關鍵作用，特別是在機器學習演算法、運算能力和資料分析等領域。將法學碩士與最尖端科技結合，可以實現更準確、更符合情境的語言理解，推動法學碩士在從虛擬助理到內容生成平台等廣泛應用中的採用。物聯網（IoT）的發展和連網型設備的普及將增加法學碩士的效用並促進無縫人機互動。

此外，專注於資料隱私、安全和負責任地使用人工智慧的法律規範和道德準則正在影響市場動態。這些法規要求組織確保自動化決策流程透明和公平，並實施符合道德標準的法學碩士。全產業向數位轉型的轉變，加上策略性採用法學碩士以獲得競爭優勢，凸顯了市場強勁的成長潛力。隨著各行業繼續利用數位資料來提高業務效率和創新，在改進和個人化數位互動的需求的推動下，全球法學碩士市場預計將持續擴張。

本報告研究了全球大規模語言模型 (LLM) 市場，並提供了市場概述、應用趨勢、架構、模型大小、區域以及參與該市場的公司概況。

目錄

執行摘要

第1章市場：產業展望

  • 趨勢：當前和未來的影響評估
  • 供應鏈概覽
  • 研發回顧
  • 監管狀況
  • 相關利益者分析
  • 全球重大事件影響分析
  • 市場動態概覽

第2章全球大規模語言模型 (LLM) 市場（按應用）

  • 應用細分
  • 應用概述
  • 全球大規模語言模型 (LLM) 市場（按應用）

第3章全球大規模語言模型 (LLM) 市場（按產品）

  • 產品細分
  • 產品概要
  • 按架構的全球大規模語言模型 (LLM) 市場
  • 全球大規模語言模型 (LLM) 市場（按模型大小）

第4章全球大規模語言模型 (LLM) 市場（按地區）

  • 全球大規模語言模式市場 – 按地區
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

第5章 公司簡介

  • 未來展望
  • 地理評估
    • 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

第6章調查方法

簡介目錄
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