대규모 언어 모델(LLM) 시장 규모, 점유율 및 동향 분석 보고서 : 배포, 업종, 용도, 지역별, 전망 및 예측(2023-2030년)

The Global Large Language Model Market size is expected to reach $33.1 billion by 2030, rising at a market growth of 34.3% CAGR during the forecast period.

Businesses across various sectors are increasingly deploying chatbots and virtual assistants to automate customer service interactions. Thus, the chatbots and virtual assistant segment acquired $1,045.4 million in 2022. These AI-driven systems can handle routine queries, provide information, and guide users through processes, freeing up human agents for more complex tasks. Thus, these aspects will boost the demand in the segment.

Prominent language models, boosted by deep learning methodologies, have exhibited an exceptional capacity to comprehend and produce text that closely resembles that of humans. Their extensive training on diverse datasets enables them to grasp nuances, context, and subtleties in language, allowing for more sophisticated language understanding. In addition, large language models are a fundamental component of chatbots and virtual assistants. These applications benefit from the models' capacity to comprehend user input, generate contextually relevant responses, and provide more interactive and human-like conversations. As businesses increasingly adopt chatbots for customer support, information retrieval, and engagement, the demand for advanced language models grows. Additionally, it can generate content quickly and efficiently. This is particularly beneficial for businesses looking to produce a large volume of content within a short time frame, such as articles, blog posts, or marketing materials. Businesses can leverage large language models to scale up their content creation efforts. These models can consistently produce content with a similar tone, style, and quality, maintaining a cohesive brand identity across various pieces of content. This adaptability ensures the generated content aligns with different industries' specific requirements and conventions. Hence, these aspects will lead to enhanced growth in the market.

However, there is a risk of unintended information leakage during the training of large language models. The models may inadvertently memorize or overfit sensitive information present in the training data, leading to potential privacy breaches. Trained models might retain traces of the input data in their weights, and there's a possibility of extracting sensitive details from these weights, raising privacy concerns. During the inference phase, when models process user queries or inputs, there's a risk of unintentionally disclosing sensitive information if the models are not designed to handle such data securely. Techniques like differential privacy aim to protect individual data points by injecting controlled noise into the training process, helping to prevent the memorization of specific examples. Thus, these factors will reduce growth in the market.

By Deployment Analysis

Based on deployment, the market is divided into cloud and on-premise. The on-premise segment recorded the maximum revenue share in the market in 2022. Sectors that handle confidential data, including healthcare, finance, and legal, frequently give precedence to on-premises solutions to maintain direct oversight of their information. On-premises deployment ensures that sensitive language data remains within the organization's infrastructure, addressing data security and privacy compliance concerns. Therefore, these factors will assist in the growth of the segment.

By Vertical Analysis

On the basis of vertical, the market is divided into healthcare, finance, retail & e-commerce, media & entertainment, and others. In 2022, the media and entertainment segment witnessed a substantial revenue share in the market. It facilitate translation on a broader scale, enabling media and entertainment content to reach global audiences. This is especially valuable for streaming platforms, news outlets, and content providers seeking to expand their reach and cater to diverse linguistic demographics. Thus, these factors will help expand the segment.

By Application Analysis

Based on application, the market is segmented into customer service, content generation, sentiment analysis, code generation, chatbots & virtual assistant, and language translation. The content generation segment procured a promising growth rate in the market in 2022. The demand for content spans multiple industries, including marketing, advertising, e-commerce, journalism, and more. Large language models offer versatility in generating content for different purposes, making them valuable across various applications. Owing to these aspects, the segment will witness enhanced growth in the coming years.

By Regional Analysis

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the market in 2022. The region is a hub for cutting-edge research and development in AI and natural language processing. Advances in large language models, including innovations in model architectures, training techniques, and applications, often originate from research institutions and companies in North America. Hence, these factors will lead to enhanced growth in the segment.

Recent Strategies Deployed in the Market

• Dec-2023: Google LLC signed a partnership with Mistral AI, an AI startup specializing in developing innovative solutions for various industries through advanced machine learning algorithms and data analytics. Through this partnership, Google would leverage its Cloud AI-optimized infrastructure, including TPU Accelerators, to advance the testing, development, and scalability of its LLMs (large language models).
• Nov-2023: Amazon Web Services, Inc. extended the partnership with Salesforce, Inc., a cloud-based software company renowned for its customer relationship management (CRM) solutions. Through this partnership, AWS would be able to provide their customers, access to robust avenues for innovation, teamwork, and the development of customer-centric applications, leveraging an extensive array of cloud services.
• Aug-2023: Google LLC came into partnership with Cognizant, a global services company specializing in digital transformation, consulting, and technology solutions for businesses across various industries. Through this partnership, both companies would be able to provide their healthcare customers with a spectrum of technologies, enabling transformative changes previously unattainable.
• Aug-2023: IBM Corporation signed a collaboration with Microsoft, a multinational technology company known for its software products, including the Windows operating system and Office productivity suite, as well as its cloud computing services and hardware devices. Under this collaboration, Microsoft would be able to expedite the implementation of generative AI for mutual clients, offering a novel solution that equips them with the necessary technology and expertise to innovate their business processes and scale generative AI seamlessly.
• Aug-2023: NVIDIA Corporation came into partnership with VMware, Inc., a software company specializing in virtualization, cloud computing, and software-defined networking solutions. Through this partnership, VMware would provide a wide array of customers, spanning financial services, healthcare, manufacturing, and other sectors, with comprehensive software and computing solutions essential for harnessing the power of generative AI through tailored applications developed with the proprietary data.
• Jun-2023: Amazon Web Services, Inc. signed a collaboration with Accenture, a global services company offering consulting, technology, and outsourcing solutions across various industries. Through this collaboration, both companies would equip their clients with cutting-edge AI technologies to tackle paramount organizational obstacles, catalyze business metamorphosis, and expedite innovative endeavors.

List of Key Companies Profiled

• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Baidu, Inc.
• Google LLC (Alphabet Inc.)
• Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Meta Platforms, Inc.
• Microsoft Corporation
• OpenAI, LLC
• Yandex N.V.
• IBM Corporation
• NVIDIA Corporation

Global Large Language Model Market Report Segmentation

By Deployment

• On-premise
• Cloud

By Vertical

• Retail & E-commerce
• Media & Entertainment
• Finance
• Healthcare
• Others

By Application

• Chatbots & Virtual Assistant
• Customer Service
• Content Generation
• Sentiment Analysis
• Code Generation
• Language Translation

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Large Language Model Market, by Deployment
  • 1.4.2 Global Large Language Model Market, by Vertical
  • 1.4.3 Global Large Language Model Market, by Application
  • 1.4.4 Global Large Language Model Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges
• 3.3 Porter Five Forces Analysis

Chapter 4. Strategies Deployed in Large Language Model Market

Chapter 5. Global Large Language Model Market by Deployment

• 5.1 Global On-premise Market by Region
• 5.2 Global Cloud Market by Region

Chapter 6. Global Large Language Model Market by Vertical

• 6.1 Global Retail & E-commerce Market by Region
• 6.2 Global Media & Entertainment Market by Region
• 6.3 Global Finance Market by Region
• 6.4 Global Healthcare Market by Region
• 6.5 Global Others Market by Region

Chapter 7. Global Large Language Model Market by Application

• 7.1 Global Chatbots & Virtual Assistant Market by Region
• 7.2 Global Customer Service Market by Region
• 7.3 Global Content Generation Market by Region
• 7.4 Global Sentiment Analysis Market by Region
• 7.5 Global Code Generation Market by Region
• 7.6 Global Language Translation Market by Region

Chapter 8. Global Large Language Model Market by Region

• 8.1 North America Large Language Model Market
  • 8.1.1 North America Large Language Model Market by Deployment
    • 8.1.1.1 North America On-premise Market by Region
    • 8.1.1.2 North America Cloud Market by Region
  • 8.1.2 North America Large Language Model Market by Vertical
    • 8.1.2.1 North America Retail & E-commerce Market by Country
    • 8.1.2.2 North America Media & Entertainment Market by Country
    • 8.1.2.3 North America Finance Market by Country
    • 8.1.2.4 North America Healthcare Market by Country
    • 8.1.2.5 North America Others Market by Country
  • 8.1.3 North America Large Language Model Market by Application
    • 8.1.3.1 North America Chatbots & Virtual Assistant Market by Country
    • 8.1.3.2 North America Customer Service Market by Country
    • 8.1.3.3 North America Content Generation Market by Country
    • 8.1.3.4 North America Sentiment Analysis Market by Country
    • 8.1.3.5 North America Code Generation Market by Country
    • 8.1.3.6 North America Language Translation Market by Country
  • 8.1.4 North America Large Language Model Market by Country
    • 8.1.4.1 US Large Language Model Market
      • 8.1.4.1.1 US Large Language Model Market by Deployment
      • 8.1.4.1.2 US Large Language Model Market by Vertical
      • 8.1.4.1.3 US Large Language Model Market by Application
    • 8.1.4.2 Canada Large Language Model Market
      • 8.1.4.2.1 Canada Large Language Model Market by Deployment
      • 8.1.4.2.2 Canada Large Language Model Market by Vertical
      • 8.1.4.2.3 Canada Large Language Model Market by Application
    • 8.1.4.3 Mexico Large Language Model Market
      • 8.1.4.3.1 Mexico Large Language Model Market by Deployment
      • 8.1.4.3.2 Mexico Large Language Model Market by Vertical
      • 8.1.4.3.3 Mexico Large Language Model Market by Application
    • 8.1.4.4 Rest of North America Large Language Model Market
      • 8.1.4.4.1 Rest of North America Large Language Model Market by Deployment
      • 8.1.4.4.2 Rest of North America Large Language Model Market by Vertical
      • 8.1.4.4.3 Rest of North America Large Language Model Market by Application
• 8.2 Europe Large Language Model Market
  • 8.2.1 Europe Large Language Model Market by Deployment
    • 8.2.1.1 Europe On-premise Market by Country
    • 8.2.1.2 Europe Cloud Market by Country
  • 8.2.2 Europe Large Language Model Market by Vertical
    • 8.2.2.1 Europe Retail & E-commerce Market by Country
    • 8.2.2.2 Europe Media & Entertainment Market by Country
    • 8.2.2.3 Europe Finance Market by Country
    • 8.2.2.4 Europe Healthcare Market by Country
    • 8.2.2.5 Europe Others Market by Country
  • 8.2.3 Europe Large Language Model Market by Application
    • 8.2.3.1 Europe Chatbots & Virtual Assistant Market by Country
    • 8.2.3.2 Europe Customer Service Market by Country
    • 8.2.3.3 Europe Content Generation Market by Country
    • 8.2.3.4 Europe Sentiment Analysis Market by Country
    • 8.2.3.5 Europe Code Generation Market by Country
    • 8.2.3.6 Europe Language Translation Market by Country
  • 8.2.4 Europe Large Language Model Market by Country
    • 8.2.4.1 Germany Large Language Model Market
      • 8.2.4.1.1 Germany Large Language Model Market by Deployment
      • 8.2.4.1.2 Germany Large Language Model Market by Vertical
      • 8.2.4.1.3 Germany Large Language Model Market by Application
    • 8.2.4.2 UK Large Language Model Market
      • 8.2.4.2.1 UK Large Language Model Market by Deployment
      • 8.2.4.2.2 UK Large Language Model Market by Vertical
      • 8.2.4.2.3 UK Large Language Model Market by Application
    • 8.2.4.3 France Large Language Model Market
      • 8.2.4.3.1 France Large Language Model Market by Deployment
      • 8.2.4.3.2 France Large Language Model Market by Vertical
      • 8.2.4.3.3 France Large Language Model Market by Application
    • 8.2.4.4 Russia Large Language Model Market
      • 8.2.4.4.1 Russia Large Language Model Market by Deployment
      • 8.2.4.4.2 Russia Large Language Model Market by Vertical
      • 8.2.4.4.3 Russia Large Language Model Market by Application
    • 8.2.4.5 Spain Large Language Model Market
      • 8.2.4.5.1 Spain Large Language Model Market by Deployment
      • 8.2.4.5.2 Spain Large Language Model Market by Vertical
      • 8.2.4.5.3 Spain Large Language Model Market by Application
    • 8.2.4.6 Italy Large Language Model Market
      • 8.2.4.6.1 Italy Large Language Model Market by Deployment
      • 8.2.4.6.2 Italy Large Language Model Market by Vertical
      • 8.2.4.6.3 Italy Large Language Model Market by Application
    • 8.2.4.7 Rest of Europe Large Language Model Market
      • 8.2.4.7.1 Rest of Europe Large Language Model Market by Deployment
      • 8.2.4.7.2 Rest of Europe Large Language Model Market by Vertical
      • 8.2.4.7.3 Rest of Europe Large Language Model Market by Application
• 8.3 Asia Pacific Large Language Model Market
  • 8.3.1 Asia Pacific Large Language Model Market by Deployment
    • 8.3.1.1 Asia Pacific On-premise Market by Country
    • 8.3.1.2 Asia Pacific Cloud Market by Country
  • 8.3.2 Asia Pacific Large Language Model Market by Vertical
    • 8.3.2.1 Asia Pacific Retail & E-commerce Market by Country
    • 8.3.2.2 Asia Pacific Media & Entertainment Market by Country
    • 8.3.2.3 Asia Pacific Finance Market by Country
    • 8.3.2.4 Asia Pacific Healthcare Market by Country
    • 8.3.2.5 Asia Pacific Others Market by Country
  • 8.3.3 Asia Pacific Large Language Model Market by Application
    • 8.3.3.1 Asia Pacific Chatbots & Virtual Assistant Market by Country
    • 8.3.3.2 Asia Pacific Customer Service Market by Country
    • 8.3.3.3 Asia Pacific Content Generation Market by Country
    • 8.3.3.4 Asia Pacific Sentiment Analysis Market by Country
    • 8.3.3.5 Asia Pacific Code Generation Market by Country
    • 8.3.3.6 Asia Pacific Language Translation Market by Country
  • 8.3.4 Asia Pacific Large Language Model Market by Country
    • 8.3.4.1 China Large Language Model Market
      • 8.3.4.1.1 China Large Language Model Market by Deployment
      • 8.3.4.1.2 China Large Language Model Market by Vertical
      • 8.3.4.1.3 China Large Language Model Market by Application
    • 8.3.4.2 Japan Large Language Model Market
      • 8.3.4.2.1 Japan Large Language Model Market by Deployment
      • 8.3.4.2.2 Japan Large Language Model Market by Vertical
      • 8.3.4.2.3 Japan Large Language Model Market by Application
    • 8.3.4.3 India Large Language Model Market
      • 8.3.4.3.1 India Large Language Model Market by Deployment
      • 8.3.4.3.2 India Large Language Model Market by Vertical
      • 8.3.4.3.3 India Large Language Model Market by Application
    • 8.3.4.4 South Korea Large Language Model Market
      • 8.3.4.4.1 South Korea Large Language Model Market by Deployment
      • 8.3.4.4.2 South Korea Large Language Model Market by Vertical
      • 8.3.4.4.3 South Korea Large Language Model Market by Application
    • 8.3.4.5 Singapore Large Language Model Market
      • 8.3.4.5.1 Singapore Large Language Model Market by Deployment
      • 8.3.4.5.2 Singapore Large Language Model Market by Vertical
      • 8.3.4.5.3 Singapore Large Language Model Market by Application
    • 8.3.4.6 Malaysia Large Language Model Market
      • 8.3.4.6.1 Malaysia Large Language Model Market by Deployment
      • 8.3.4.6.2 Malaysia Large Language Model Market by Vertical
      • 8.3.4.6.3 Malaysia Large Language Model Market by Application
    • 8.3.4.7 Rest of Asia Pacific Large Language Model Market
      • 8.3.4.7.1 Rest of Asia Pacific Large Language Model Market by Deployment
      • 8.3.4.7.2 Rest of Asia Pacific Large Language Model Market by Vertical
      • 8.3.4.7.3 Rest of Asia Pacific Large Language Model Market by Application
• 8.4 LAMEA Large Language Model Market
  • 8.4.1 LAMEA Large Language Model Market by Deployment
    • 8.4.1.1 LAMEA On-premise Market by Country
    • 8.4.1.2 LAMEA Cloud Market by Country
  • 8.4.2 LAMEA Large Language Model Market by Vertical
    • 8.4.2.1 LAMEA Retail & E-commerce Market by Country
    • 8.4.2.2 LAMEA Media & Entertainment Market by Country
    • 8.4.2.3 LAMEA Finance Market by Country
    • 8.4.2.4 LAMEA Healthcare Market by Country
    • 8.4.2.5 LAMEA Others Market by Country
  • 8.4.3 LAMEA Large Language Model Market by Application
    • 8.4.3.1 LAMEA Chatbots & Virtual Assistant Market by Country
    • 8.4.3.2 LAMEA Customer Service Market by Country
    • 8.4.3.3 LAMEA Content Generation Market by Country
    • 8.4.3.4 LAMEA Sentiment Analysis Market by Country
    • 8.4.3.5 LAMEA Code Generation Market by Country
    • 8.4.3.6 LAMEA Language Translation Market by Country
  • 8.4.4 LAMEA Large Language Model Market by Country
    • 8.4.4.1 Brazil Large Language Model Market
      • 8.4.4.1.1 Brazil Large Language Model Market by Deployment
      • 8.4.4.1.2 Brazil Large Language Model Market by Vertical
      • 8.4.4.1.3 Brazil Large Language Model Market by Application
    • 8.4.4.2 Argentina Large Language Model Market
      • 8.4.4.2.1 Argentina Large Language Model Market by Deployment
      • 8.4.4.2.2 Argentina Large Language Model Market by Vertical
      • 8.4.4.2.3 Argentina Large Language Model Market by Application
    • 8.4.4.3 UAE Large Language Model Market
      • 8.4.4.3.1 UAE Large Language Model Market by Deployment
      • 8.4.4.3.2 UAE Large Language Model Market by Vertical
      • 8.4.4.3.3 UAE Large Language Model Market by Application
    • 8.4.4.4 Saudi Arabia Large Language Model Market
      • 8.4.4.4.1 Saudi Arabia Large Language Model Market by Deployment
      • 8.4.4.4.2 Saudi Arabia Large Language Model Market by Vertical
      • 8.4.4.4.3 Saudi Arabia Large Language Model Market by Application
    • 8.4.4.5 South Africa Large Language Model Market
      • 8.4.4.5.1 South Africa Large Language Model Market by Deployment
      • 8.4.4.5.2 South Africa Large Language Model Market by Vertical
      • 8.4.4.5.3 South Africa Large Language Model Market by Application
    • 8.4.4.6 Nigeria Large Language Model Market
      • 8.4.4.6.1 Nigeria Large Language Model Market by Deployment
      • 8.4.4.6.2 Nigeria Large Language Model Market by Vertical
      • 8.4.4.6.3 Nigeria Large Language Model Market by Application
    • 8.4.4.7 Rest of LAMEA Large Language Model Market
      • 8.4.4.7.1 Rest of LAMEA Large Language Model Market by Deployment
      • 8.4.4.7.2 Rest of LAMEA Large Language Model Market by Vertical
      • 8.4.4.7.3 Rest of LAMEA Large Language Model Market by Application

Chapter 9. Company Profiles

• 9.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 9.1.1 Company Overview
  • 9.1.2 Financial Analysis
  • 9.1.3 Segmental Analysis
  • 9.1.4 Recent strategies and developments:
    • 9.1.4.1 Partnerships, Collaborations, and Agreements:
  • 9.1.5 SWOT Analysis
• 9.2 Baidu, Inc.
  • 9.2.1 Company Overview
  • 9.2.2 Financial Analysis
  • 9.2.3 Segmental Analysis
  • 9.2.4 Research & Development Expenses
  • 9.2.5 SWOT Analysis
• 9.3 Google LLC (Alphabet Inc.)
  • 9.3.1 Company Overview
  • 9.3.2 Financial Analysis
  • 9.3.3 Segmental and Regional Analysis
  • 9.3.4 Research & Development Expense
  • 9.3.5 Recent strategies and developments:
    • 9.3.5.1 Partnerships, Collaborations, and Agreements:
  • 9.3.6 SWOT Analysis
• 9.4 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • 9.4.1 Company Overview
  • 9.4.2 Financial Analysis
  • 9.4.3 Segmental and Regional Analysis
  • 9.4.4 Research & Development Expense
  • 9.4.5 SWOT Analysis
• 9.5 Meta Platforms, Inc. (Meta)
  • 9.5.1 Company Overview
  • 9.5.2 Financial Analysis
  • 9.5.3 Segment and Regional Analysis
  • 9.5.4 Research & Development Expense
  • 9.5.5 SWOT Analysis
• 9.6 Microsoft Corporation
  • 9.6.1 Company Overview
  • 9.6.2 Financial Analysis
  • 9.6.3 Segmental and Regional Analysis
  • 9.6.4 Research & Development Expenses
  • 9.6.5 Recent strategies and developments:
    • 9.6.5.1 Acquisition and Mergers:
  • 9.6.6 SWOT Analysis
• 9.7 OpenAI, L.L.C.
  • 9.7.1 Company Overview
  • 9.7.2 SWOT Analysis
• 9.8 Yandex N.V.
  • 9.8.1 Company Overview
  • 9.8.2 Financial Analysis
  • 9.8.3 Segmental and Regional Analysis
• 9.9 IBM Corporation
  • 9.9.1 Company Overview
  • 9.9.2 Financial Analysis
  • 9.9.3 Regional & Segmental Analysis
  • 9.9.4 Research & Development Expenses
  • 9.9.5 Recent strategies and developments:
    • 9.9.5.1 Partnerships, Collaborations, and Agreements:
  • 9.9.6 SWOT Analysis
• 9.10. NVIDIA Corporation
  • 9.10.1 Company Overview
  • 9.10.2 Financial Analysis
  • 9.10.3 Segmental and Regional Analysis
  • 9.10.4 Research & Development Expenses
  • 9.10.5 Recent strategies and developments:
    • 9.10.5.1 Partnerships, Collaborations, and Agreements:
  • 9.10.6 SWOT Analysis

Chapter 10. Winning imperatives of Large Language Model Market