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市场调查报告书
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1476394

到 2030 年的大规模语言模型市场预测：按产品、架构、模式、应用程式、最终用户和地区进行的全球分析

Large Language Model Market Forecasts to 2030 - Global Analysis By Offering, Architecture, Modality, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球大规模语言模型市场规模为 16 亿美元，预计到 2030 年将达到 130.8 亿美元，预测期内复合年增长率为 35.0%。

大规模语言模型 (LLM) 是一种人工智慧，旨在根据经过训练的大量资料来理解和产生类似人类的文字。这些模型（如 GPT-3）建立在深度学习架构（特别是变压器）之上，使它们能够以令人印象深刻的规模处理和生成文字。法学硕士擅长各种语言任务，包括翻译、摘要和问答，并且经常在基准测试中达到人类或超人的表现。法学硕士可以从他们接受培训的资料中学习模式和关係，并在广泛的主题中产生连贯的、与上下文相关的回应。

人工智慧和机器学习的进步

人工智慧和机器学习的进步透过提高这些模型的功能和性能，推动了大规模语言模型 (LLM) 市场的发展。由于演算法、资料处理和计算能力方面的突破，法学硕士现在能够以前所未有的准确性和一致性理解和生成类似人类的文本。这些进步导致了从自然语言处理到内容生成和翻译等各个领域的应用。此外，LLM 变得更具可扩展性和效率，使其可用于各种任务，例如客户服务自动化、资料分析和个人化内容创建。

偏见和公平

大规模语言模型中的偏差和公平性约束涉及确保其应用中公平且无偏见的结果。这包括识别和减轻用于训练模型的资料中固有的偏差。解决偏差需要资料预处理、演算法调整和训练资料集集中的多样化表示等技术。公平限制旨在防止法学硕士申请中出现歧视性结果，特别是在就业、贷款和内容审核等敏感领域。实施这些限制需要采用包括伦理学、社会学和电脑科学在内的跨学科方法，以促进法学硕士在社会中负责任和公平的部署。

内容生成和个人化

大规模的语言模型市场为内容生成和个人化提供了重要的机会。凭藉着理解和产生类人文本的能力，法学硕士可以自动化从新闻到行销等各个行业的内容创建。此外，法学硕士透过根据个人偏好、行为和属性客製化内容来实现个人化体验。这种程度的客製化可以提高用户参与度和满意度，从而提高转换率和品牌忠诚度。此外，法学硕士可以根据即时资料动态调整内容，以确保相关性和及时性。这些功能使企业能够有效地扩展内容製作，同时向受众传递高度针对性的讯息。

工作替代

大规模语言模型的出现对工作流失构成了重大威胁，因为它们能够自动执行许多传统上由人类执行的任务。法学硕士可以快速处理大量文本，有可能取代内容创作、翻译和客户服务等角色。随着公司采用法学硕士来提高效率，这些领域对人力的需求可能会减少。这种转移可能会导致失业，尤其是涉及重复性或常规认知任务的工作。应对这种转变可能需要提升技能或过渡到补充而不是与法学硕士能力竞争的角色。

COVID-19 的影响：

COVID-19疫情显着加速了各领域对大规模语言模式（LLM）的需求。随着远距工作和数位转型成为必然，公司越来越依赖法学硕士来自动化任务、增强客户服务和简化营运。需求的激增导致对法学硕士研发的投资增加，以及医疗保健、金融和教育等行业的采用增加。然而，疫情造成的供应链中断和经济不确定性也为LLM製造商和开发商带来了挑战。

预计服务业将在预测期内成为最大的产业

由于多种因素，大规模语言模型市场的服务部分正在经历强劲成长。随着越来越多的公司认识到LLM在提高效率和决策方面的价值，对实施和客製化LLM模型以满足特定业务需求的专业服务的需求不断增长。 LLM 技术的复杂性需要持续的支援和维护，从而增加了对咨询、培训和託管服务的需求。此外，随着法学硕士在各个行业中变得至关重要，服务供应商正在扩大其特定领域专业知识的提供，例如医疗保健和金融，进一步推动市场成长。

资料分析和商业情报产业预计在预测期内复合年增长率最高。

对高阶资料处理和解释能力不断增长的需求推动了资料分析和商业情报领域的成长。法学硕士提供了强大的工具，可以从海量资料集提取见解，使公司能够更准确、更有效率地做出资料主导的决策。随着各行各业的公司意识到利用资料获得竞争优势的价值，资料分析和商业情报法学硕士的采用率越来越高。法学硕士自然语言处理技术的进步正在提高理解和解释复杂资料的能力，进一步推动市场成长。

占比最大的地区：

北美大规模语言建模市场的成长得益于该地区多家高科技巨头和主要人工智慧研究机构的存在，促进了语言建模技术的创新和发展。包括医疗保健、金融和客户服务在内的各个领域对自然语言处理应用程式的需求不断增长，正在推动法学硕士的采用。北美拥有强大的云端处理和资料中心基础设施，有利于法学硕士的部署和扩充性。此外，熟练劳动力的存在和支持​​人工智慧研究和开发的有利政府政策进一步推动了该地区法学硕士市场的成长。

复合年增长率最高的地区：

近年来，亚太地区大规模语言模型 (LLM) 得到了显着采用和成长。这一增长归因于多种因素，包括该地区不断增加的技术基础设施、金融、医疗保健和电子商务等行业对人工智能主导的解决方案的需求激增，以及马苏熟练的人工智能人才库的不断增长。旨在促进人工智慧研究和开发的政府措施进一步刺激了亚太地区法学硕士市场的扩张。此外，该地区的文化多样性和广阔的语言环境带来了独特的挑战，法学硕士非常适合併支持其普及。

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  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章 全球大规模语言模型市场：透过提供

  • 软体
  • 服务
    • 咨询
    • 法学硕士发展
    • 一体化
    • LLM微调
      • 完成微调
      • 搜寻扩展生成 (RAG)
      • 高效调整基于适配器的参数
    • LLM 支援应用程式开发
    • 及时工程
    • 支援与维护
  • 其他服务

第六章全球大规模语言模型市场：依架构

  • 自回归语言模型
  • 单头自迴归语言模型
  • 多头自迴归语言模型
  • 自动编码语言模型
  • 一般自动编码语言模型
  • 最佳化的自动编码语言模型
  • 混合语言模型
  • 文本到文本语言模型
  • 预训练-微调模型
  • 其他架构

第七章全球大规模语言模型市场：依模态分类

  • 句子
  • 程式码
  • 影像
  • 影片
  • 其他方式

第八章全球大规模语言模式市场：依应用分类

  • 资讯搜寻
  • 语言翻译和在地化
    • 多语言翻译
    • 在地化服务
  • 内容产生和管理
    • 自动化新闻和报导写作
    • 文学
  • 程式码生成
  • 客户服务自动化
    • 聊天机器人和虚拟助理
    • 销售和行销自动化
    • 个性化推荐
  • 资料分析和商业智慧
    • 情绪分析
    • 业务报告和市场分析
  • 其他应用

第九章全球大规模语言模型市场：依最终用户分类

  • 资讯科技（IT）
  • 医疗保健和生命科学
  • 律师事务所
  • 製造业
  • 教育
  • 零售
  • 媒体和娱乐
  • 其他最终用户

第十章全球大规模语言模型市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • AI21 Labs
  • Alibaba
  • Amazon
  • Anthropic
  • Baidu
  • Cohere
  • Crowdworks
  • Google
  • Huawei
  • Meta
  • Microsoft
  • Naver
  • NEC
  • OpenAI
  • Technology Innovation Institute（TII）
  • Tencent
  • Yandex
Product Code: SMRC25940

According to Stratistics MRC, the Global Large Language Model Market is accounted for $1.6 billion in 2023 and is expected to reach $13.08 billion by 2030 growing at a CAGR of 35.0% during the forecast period. A large language model (LLM) is a type of artificial intelligence designed to understand and generate human-like text based on the vast amount of data it has been trained on. These models, like GPT-3, are built on deep learning architectures, particularly transformers, enabling them to process and generate text at an impressive scale. LLMs excel at various language tasks such as translation, summarization, and question-answering, often achieving human or superhuman performance on benchmark tests. They learn patterns and relationships from the data they are trained on, allowing them to generate coherent and contextually relevant responses across a wide range of topics.

Market Dynamics:

Driver:

Advancements in AI and machine learning

Advancements in AI and machine learning have propelled the large language model (LLM) market by enhancing the capabilities and performance of these models. With breakthroughs in algorithms, data processing, and computational power, LLMs can now understand and generate human-like text with unprecedented accuracy and coherence. These advancements have led to applications in various fields, from natural language processing to content generation and translation. Additionally, the scalability and efficiency of LLMs have improved, enabling businesses to leverage them for diverse tasks such as customer service automation, data analysis, and personalized content creation.

Restraint:

Bias and fairness

Bias and fairness constraints in large language models pertain to ensuring equitable and unbiased outcomes in their applications. This involves identifying and mitigating inherent biases within the data used to train these models. Addressing bias involves techniques such as data preprocessing, algorithmic adjustments, and diverse representation in training datasets. Fairness restraints aim to prevent discriminatory outcomes in LLM applications, particularly in sensitive areas like hiring, lending, or content moderation. Implementing these constraints requires a multidisciplinary approach involving ethics, sociology, and computer science to foster responsible and equitable deployment of LLMs in society.

Opportunity:

Content generation and personalization

The Large Language Model market offers significant opportunities in content generation and personalization. With the ability to comprehend and generate human-like text, LLMs can automate content creation across various industries, from journalism to marketing. Additionally, LLMs enable personalized experiences by tailoring content to individual preferences, behaviors, and demographics. This level of customization enhances user engagement and satisfaction, driving higher conversion rates and brand loyalty. Moreover, LLMs can dynamically adapt content based on real-time data, ensuring relevance and timeliness. Leveraging these capabilities, businesses can efficiently scale content production while delivering highly targeted messaging to their audience.

Threat:

Job displacement

The emergence of Large Language Models poses a significant job displacement threat due to their ability to automate various tasks traditionally performed by humans. LLMs can swiftly process vast amounts of text, potentially replacing roles in content creation, translation, customer service, and more. As businesses adopt LLMs for efficiency gains, there's a risk of reducing the demand for human labor in these sectors. This displacement could lead to job losses, particularly for roles that involve repetitive or routine cognitive tasks. Adapting to this shift may require upskilling or transitioning to roles that complement LLM capabilities rather than compete with them.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the demand for large language models (LLMs) in various sectors. With remote work and digital transformation becoming imperative, organizations increasingly rely on LLMs for automating tasks, enhancing customer service, and streamlining operations. This surge in demand led to increased investments in LLM research and development, as well as adoption across industries such as healthcare, finance, and education. However, supply chain disruptions and economic uncertainties caused by the pandemic also posed challenges for LLM manufacturers and developers.

The services segment is expected to be the largest during the forecast period

The services segment in the large language model market is experiencing robust growth due to several factors. As organizations increasingly recognize the value of LLMs in improving efficiency and decision-making, there's a rising demand for specialized services to implement and customize these models to specific business needs. The complexity of LLM technology necessitates ongoing support and maintenance, driving the need for consulting, training, and managed services. Additionally, as LLMs become more integral to various industries, service providers are expanding their offerings to include domain-specific expertise, such as healthcare or finance, further fueling market growth.

The data analysis and business intelligence segment is expected to have the highest CAGR during the forecast period

The growth of the Data Analysis and Business Intelligence segment is driven by the increasing demand for advanced data processing and interpretation capabilities. LLMs offer powerful tools for extracting insights from vast datasets, enabling businesses to make data-driven decisions with greater precision and efficiency. As companies across industries recognize the value of harnessing data for competitive advantage, the adoption of LLMs for data analysis and business intelligence is on the rise. The evolution of natural language processing techniques within LLMs enhances their ability to understand and interpret complex data, further fueling market growth.

Region with largest share:

The growth of the Large Language Model market in North America can be attributed to the region's presence of several tech giants and leading AI research institutions, fostering innovation and development in language modeling technologies. The increasing demand for natural language processing applications across various sectors, such as healthcare, finance, and customer service, is driving the adoption of LLMs. North America boasts a robust infrastructure for cloud computing and data centers, facilitating the deployment and scalability of LLMs. Additionally, the presence of a skilled workforce and favorable government policies supporting AI research and development further propel the growth of the LLM market in the region.

Region with highest CAGR:

The Asia-Pacific region has seen a significant surge in the adoption and growth of large language models (LLMs) in recent years. This growth can be attributed to several factors, including the region's increasing technological infrastructure, burgeoning demand for AI-driven solutions across various industries such as finance, healthcare, and e-commerce, as well as a growing pool of skilled AI talent. Government initiatives aimed at promoting AI research and development have further fueled the expansion of the LLM market in the Asia Pacific. Furthermore, the cultural diversity and vast linguistic landscape of the region present unique challenges that LLMs are well-equipped to address, driving their widespread adoption.

Key players in the market

Some of the key players in Large Language Model market include AI21 Labs, Alibaba, Amazon, Anthropic, Baidu, Cohere, Crowdworks, Google, Huawei, Meta, Microsoft, Naver, NEC, OpenAI, Technology Innovation Institute (TII), Tencent and Yandex.

Key Developments:

In April 2024, Google is currently working on a centralized location-sharing feature for Android users. This new feature, known as "Google Location Sharing," was recently discovered in updates to Google Play Services. The primary objective of this development is to consolidate all active location-sharing services associated with a user's Google account, into one accessible page within the Settings menu.

In April 2023, Microsoft announced that it will invest US$2.9 billion over the next two years to increase its hyperscale cloud computing and AI infrastructure in Japan. It will also expand its digital skilling programs with the goal of providing AI skilling to more than 3 million people over the next three years by opening its first Microsoft Research Asia lab in Japan, and deepening its cybersecurity collaboration with the Government of Japan.

Offerings Covered:

  • Software
  • Services
  • Other Offerings

Architectures Covered:

  • Autoregressive Language Models
  • Single-headed Autoregressive Language Models
  • Multi-headed Autoregressive Language Models
  • Autoencoding Language Models
  • Vanilla Autoencoding Language Models
  • Optimized Autoencoding Language Models
  • Hybrid Language Models
  • Text-to-Text Language Models
  • Pretraining-finetuning Models
  • Other Architectures

Modalities Covered:

  • Text
  • Code
  • Image
  • Video
  • Other Modalities

Applications Covered:

  • Information Retrieval
  • Language Translation And Localization
  • Content Generation And Curation
  • Code Generation
  • Customer Service Automation
  • Data Analysis And Business Intelligence
  • Other Applications

End Users Covered:

  • Information Technology (IT)
  • Healthcare & Life Sciences
  • Law Firms
  • Manufacturing
  • Education
  • Retail
  • Media & Entertainment
  • Other End-users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Large Language Model Market, By Offering

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 LLM Development
    • 5.3.3 Integration
    • 5.3.4 LLM Fine-tuning
      • 5.3.4.1 Full Fine-tuning
      • 5.3.4.2 Retrieval-augmented Generation (RAG)
      • 5.3.4.3 Adapter-based Parameter Efficient Tuning
    • 5.3.5 LLM-backed App Development
    • 5.3.6 Prompt Engineering
    • 5.3.7 Support and Maintenance
  • 5.4 Other Offerings

6 Global Large Language Model Market, By Architecture

  • 6.1 Introduction
  • 6.2 Autoregressive Language Models
  • 6.3 Single-headed Autoregressive Language Models
  • 6.4 Multi-headed Autoregressive Language Models
  • 6.5 Autoencoding Language Models
  • 6.6 Vanilla Autoencoding Language Models
  • 6.7 Optimized Autoencoding Language Models
  • 6.8 Hybrid Language Models
  • 6.9 Text-to-Text Language Models
  • 6.10 Pretraining-finetuning Models
  • 6.11 Other Architectures

7 Global Large Language Model Market, By Modality

  • 7.1 Introduction
  • 7.2 Text
  • 7.3 Code
  • 7.4 Image
  • 7.5 Video
  • 7.6 Other Modalities

8 Global Large Language Model Market, By Application

  • 8.1 Introduction
  • 8.2 Information Retrieval
  • 8.3 Language Translation And Localization
    • 8.3.1 Multilingual Translation
    • 8.3.2 Localization Services
  • 8.4 Content Generation And Curation
    • 8.4.1 Automated Journalism And Article Writing
    • 8.4.2 Creative Writing
  • 8.5 Code Generation
  • 8.6 Customer Service Automation
    • 8.6.1 Chatbots And Virtual Assistants
    • 8.6.2 Sales And Marketing Automation
    • 8.6.3 Personalized Recommendation
  • 8.7 Data Analysis And Business Intelligence
    • 8.7.1 Sentiment Analysis
    • 8.7.2 Business Reporting And Market Analysis
  • 8.8 Other Applications

9 Global Large Language Model Market, By End User

  • 9.1 Introduction
  • 9.2 Information Technology (IT)
  • 9.3 Healthcare & Life Sciences
  • 9.4 Law Firms
  • 9.5 Manufacturing
  • 9.6 Education
  • 9.7 Retail
  • 9.8 Media & Entertainment
  • 9.9 Other End-users

10 Global Large Language Model Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 AI21 Labs
  • 12.2 Alibaba
  • 12.3 Amazon
  • 12.4 Anthropic
  • 12.5 Baidu
  • 12.6 Cohere
  • 12.7 Crowdworks
  • 12.8 Google
  • 12.9 Huawei
  • 12.10 Meta
  • 12.11 Microsoft
  • 12.12 Naver
  • 12.13 NEC
  • 12.14 OpenAI
  • 12.15 Technology Innovation Institute (TII)
  • 12.16 Tencent
  • 12.17 Yandex

List of Tables

  • Table 1 Global Large Language Model Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Large Language Model Market Outlook, By Offering (2021-2030) ($MN)
  • Table 3 Global Large Language Model Market Outlook, By Software (2021-2030) ($MN)
  • Table 4 Global Large Language Model Market Outlook, By Services (2021-2030) ($MN)
  • Table 5 Global Large Language Model Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 6 Global Large Language Model Market Outlook, By LLM Development (2021-2030) ($MN)
  • Table 7 Global Large Language Model Market Outlook, By Integration (2021-2030) ($MN)
  • Table 8 Global Large Language Model Market Outlook, By LLM Fine-tuning (2021-2030) ($MN)
  • Table 9 Global Large Language Model Market Outlook, By Full Fine-tuning (2021-2030) ($MN)
  • Table 10 Global Large Language Model Market Outlook, By Retrieval-augmented Generation (RAG) (2021-2030) ($MN)
  • Table 11 Global Large Language Model Market Outlook, By Adapter-based Parameter Efficient Tuning (2021-2030) ($MN)
  • Table 12 Global Large Language Model Market Outlook, By LLM-backed App Development (2021-2030) ($MN)
  • Table 13 Global Large Language Model Market Outlook, By Prompt Engineering (2021-2030) ($MN)
  • Table 14 Global Large Language Model Market Outlook, By Support and Maintenance (2021-2030) ($MN)
  • Table 15 Global Large Language Model Market Outlook, By Other Offerings (2021-2030) ($MN)
  • Table 16 Global Large Language Model Market Outlook, By Architecture (2021-2030) ($MN)
  • Table 17 Global Large Language Model Market Outlook, By Autoregressive Language Models (2021-2030) ($MN)
  • Table 18 Global Large Language Model Market Outlook, By Single-headed Autoregressive Language Models (2021-2030) ($MN)
  • Table 19 Global Large Language Model Market Outlook, By Multi-headed Autoregressive Language Models (2021-2030) ($MN)
  • Table 20 Global Large Language Model Market Outlook, By Autoencoding Language Models (2021-2030) ($MN)
  • Table 21 Global Large Language Model Market Outlook, By Vanilla Autoencoding Language Models (2021-2030) ($MN)
  • Table 22 Global Large Language Model Market Outlook, By Optimized Autoencoding Language Models (2021-2030) ($MN)
  • Table 23 Global Large Language Model Market Outlook, By Hybrid Language Models (2021-2030) ($MN)
  • Table 24 Global Large Language Model Market Outlook, By Text-to-Text Language Models (2021-2030) ($MN)
  • Table 25 Global Large Language Model Market Outlook, By Pretraining-finetuning Models (2021-2030) ($MN)
  • Table 26 Global Large Language Model Market Outlook, By Other Architectures (2021-2030) ($MN)
  • Table 27 Global Large Language Model Market Outlook, By Modality (2021-2030) ($MN)
  • Table 28 Global Large Language Model Market Outlook, By Text (2021-2030) ($MN)
  • Table 29 Global Large Language Model Market Outlook, By Code (2021-2030) ($MN)
  • Table 30 Global Large Language Model Market Outlook, By Image (2021-2030) ($MN)
  • Table 31 Global Large Language Model Market Outlook, By Video (2021-2030) ($MN)
  • Table 32 Global Large Language Model Market Outlook, By Other Modalities (2021-2030) ($MN)
  • Table 33 Global Large Language Model Market Outlook, By Application (2021-2030) ($MN)
  • Table 34 Global Large Language Model Market Outlook, By Information Retrieval (2021-2030) ($MN)
  • Table 35 Global Large Language Model Market Outlook, By Language Translation And Localization (2021-2030) ($MN)
  • Table 36 Global Large Language Model Market Outlook, By Multilingual Translation (2021-2030) ($MN)
  • Table 37 Global Large Language Model Market Outlook, By Localization Services (2021-2030) ($MN)
  • Table 38 Global Large Language Model Market Outlook, By Content Generation And Curation (2021-2030) ($MN)
  • Table 39 Global Large Language Model Market Outlook, By Automated Journalism And Article Writing (2021-2030) ($MN)
  • Table 40 Global Large Language Model Market Outlook, By Creative Writing (2021-2030) ($MN)
  • Table 41 Global Large Language Model Market Outlook, By Code Generation (2021-2030) ($MN)
  • Table 42 Global Large Language Model Market Outlook, By Customer Service Automation (2021-2030) ($MN)
  • Table 43 Global Large Language Model Market Outlook, By Chatbots And Virtual Assistants (2021-2030) ($MN)
  • Table 44 Global Large Language Model Market Outlook, By Sales And Marketing Automation (2021-2030) ($MN)
  • Table 45 Global Large Language Model Market Outlook, By Personalized Recommendation (2021-2030) ($MN)
  • Table 46 Global Large Language Model Market Outlook, By Data Analysis And Business Intelligence (2021-2030) ($MN)
  • Table 47 Global Large Language Model Market Outlook, By Sentiment Analysis (2021-2030) ($MN)
  • Table 48 Global Large Language Model Market Outlook, By Business Reporting And Market Analysis (2021-2030) ($MN)
  • Table 49 Global Large Language Model Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 50 Global Large Language Model Market Outlook, By End User (2021-2030) ($MN)
  • Table 51 Global Large Language Model Market Outlook, By Information Technology (IT) (2021-2030) ($MN)
  • Table 52 Global Large Language Model Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
  • Table 53 Global Large Language Model Market Outlook, By Law Firms (2021-2030) ($MN)
  • Table 54 Global Large Language Model Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 55 Global Large Language Model Market Outlook, By Education (2021-2030) ($MN)
  • Table 56 Global Large Language Model Market Outlook, By Retail (2021-2030) ($MN)
  • Table 57 Global Large Language Model Market Outlook, By Media & Entertainment (2021-2030) ($MN)
  • Table 58 Global Large Language Model Market Outlook, By Other End-users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.