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1591740

全球大规模语言模型（LLM）市场：现况分析与预测（2024-2032）

Large Language Model Market: Current Analysis and Forecast (2024-2032)

出版日期: 2024年10月01日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 155 Pages | 商品交期: 最快1-2个工作天内

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全球大规模语言模型（LLM）市场规模预计将呈现约33.8%的成长率。这是因为基于云端的 AI 服务（AWS、Google Cloud、Azure AI 等）的激增使得 LLM 可扩展的部署和培训可供各种规模的公司使用。此外，该行业不断增加的研发、投资、产品进步和合作正在推动大规模语言模型市场的发展。例如，2023年12月，微软发布了InsightPilot，这是一个使用大规模语言模型（LLM）的自动资料探索系统。这个创新系统是专门为简化资料探索过程而设计的。 InsightPilot 包含一组精心设计的分析操作，旨在简化资料探索。当遇到自然语言问题时，InsightPilot 与 LLM 整合来执行一系列分析操作，以促进资料探索和产生有价值的见解。

以模型规模来看，市场小于10亿个参数、10亿到100亿个参数、100亿到500亿个参数、500亿到1000亿个参数、1000亿到2000亿个参数、2000亿到5000亿个参数，分成超过5000亿个参数。在大型语言模型市场中，不到 10 亿个参数类别代表了最大的市场，它提供了轻量级且高效的模型，对于计算资源有限的公司来说更容易获得且更具成本效益。这些紧凑的模型可提供更快的处理时间和更低的营运成本，使其成为即时应用程式、边缘运算和小型企业的理想选择。它们的低能耗和针对特定任务进行微调的能力使其被广泛采用，特别是在可扩展性和快速部署非常重要的行业中。

市场区隔依应用分为客户服务、内容产生、情绪分析、程式码产生、语言翻译等。其中，客户服务领域是大规模语言模型市场的主要驱动因素。这是因为 "客户服务" 类别占据主导地位，因为它可以透过聊天机器人和虚拟助理等智慧对话人工智慧解决方案来帮助企业改善与客户的关係。这些法学硕士解决客户的问题和疑虑，解决问题，并透过各种媒体形式提供即时协助。化学品供应商公司可以简化必要的活动、提高回应准确性、最大限度地降低成本并提供 24/7 全天候服务。因此，随着越来越多的组织掌握人工智慧在增强客户服务方面的潜力，对专门从事该领域的法学硕士的需求可能仍然很高。

依形态，市场分为文字、程式码、图像和影片。其中，文本分割是大规模语言模型市场的关键驱动力，它支援文本创建、情感分析、文本摘要和翻译等多种应用。随着公司寻求效率、改善认知互动和增加利润，诸如文本分析之类的活动正在稳步转移给法学硕士。申请数量的增加不仅增加了法学硕士在行销、新闻和客户服务等各个行业的使用，而且促进了模型准确性和效率的提高，推动了市场成长。

依行业分为 BFSI、IT/ITeS、零售/製造、媒体/娱乐和其他。 BFSI（银行、金融服务、保险）领域也是大规模语言模型的主要市场之一，因为 NLP 用于客户支援、诈欺识别和合规性。透过利用 NLP 的力量，BFSI 组织可以从大量非结构化资料中发现见解，提供投资和储蓄咨询服务，并透过市场情绪降低风险。增加使用人工智慧来解决此类问题不仅可以提高生产力，还可以开发增值的消费者体验，从而增加该领域的法学硕士技术的采用并增加市场占有率。

为了更瞭解大规模语言模型的市场采用情况，市场包括北美（美国、加拿大、北美其他地区）、欧洲（德国、英国、法国、西班牙、义大利、欧洲其他地区）、亚洲太平洋地区（中国、日本）、印度、世界其他地区（亚太地区）和世界其他地区。其中，亚太地区大规模语言模型（LLM）市场正在出现巨大增长，这主要得益于人工智慧在电子商务、金融、医疗保健和教育等各个行业领域的使用不断增加。例如，中国、印度和日本是法学硕士市场的先驱和参与者，在人工智慧研发、硬体和软体方面投入了大量资源。 LLM专注于成长趋势、特定区域语言和方言，现已提供多语言模型，有助于在人工智慧制定中采用并受到政府鼓励。该地区技术行业的成长、数位经济的不断增长、自动化的需求以及客户对业务的参与是市场成长的驱动因素。

推动市场的主要公司包括 NVIDIA Corporation、阿里巴巴集团控股有限公司、Amazon.com, Inc.、百度研究院、Google LLC、Meta、微软、OpenAI、腾讯、YANDEX LLC 等。

The large language model LLM market is the global industry of Large Language Models being developed, deployed, or used to process and generate natural language text. Currently, pre-trained LLMs like GPT and BERT are applied to several NLP activities, for instance, content creation, customer support, and language translation. The market is growing at a fast pace due to the rising curiosity of AI in numerous fields such as - healthcare, banking & finance, and the electronic business sector. The factors responsible for the growth are the improved algorithms of deep learning, enhanced accessibility of infrastructures of cloud computing, raised investments in AI research, and the necessity of solutions to process the massive amount of data. This expansion is further driven by using advanced communication systems mainly from enterprises in an endeavor to improve customers' engagement and operations.

The large language model market is set to show a growth rate of about 33.8%. This is due to the widespread availability of cloud-based AI services (like AWS, Google Cloud, and Azure AI) enables the scalable deployment and training of LLMs, making them accessible to businesses of all sizes. Also, increasing R&D, investment, product advancements, and collaborations in this industry drive the Large Language Model market. For instance, in December 2023, Microsoft Corporation launched InsightPilot, an automated data exploration system powered by a Large Language Model (LLM). This innovative system is specifically designed to simplify the data exploration process. InsightPilot incorporates a set of meticulously designed analysis actions aimed at simplifying the exploration of data. When presented with a natural language question, InsightPilot integrates with the LLM to execute a sequence of analysis actions, facilitating the exploration of data and the generation of valuable insights.

Based on Model Size, the market is segmented into Below 1 billion Parameters, 1 billion to 10 billion Parameters, 10 billion to 50 billion Parameters, 50 billion to 100 billion Parameters, 100 billion to 200 billion Parameters, 200 billion to 500 billion Parameters, and Above 500 billion Parameters. The Below 1 billion Parameters category is expected to have the largest market share of the Large Language Model market by offering lightweight, efficient models that are more accessible and cost-effective for businesses with limited computational resources. These smaller models provide faster processing times and reduced operational costs, making them ideal for real-time applications, edge computing, and smaller-scale enterprises. Their lower energy consumption and fine-tuning ability for specific tasks allow widespread adoption across industries, particularly where scalability and quick deployment are critical.

Based on the application, the market is segmented into customer service, content generation, sentiment analysis, code generation, language translation, and others. Among these, the customer service segment is a key driver of the large language model market. Due to the dominance of the "Customer Service" category as it helps businesses improve customer relations through intelligent conversational AI solutions like chatbots and virtual assistants. These LLMs solve questions and concerns from customers, fix problems, and offer immediate assistance on different media forms. Chemical supplier firms can streamline required activities, enhance response accuracy, minimize costs, and be available 24/7, therefore, achieving higher customer retention and loyalty. Thus, the demand for LLMs specializing in this field will remain high as more organizations grasp the potential of AI in enhancing customer service.

Based on the modality, the market is segmented into text, code, image, and video. Among these, the text segment is a key driver of the large language model market by enabling diverse applications such as writing, emotional analysis, text summarization, and translation. Activities such as text analysis are steadily being offloaded to LLMs as firms seek to gain efficiencies, improve cognitive interactions, and drive profits which is why advanced text analysis is on an upward trajectory. This increase in applications not only increases the use of LLMs in various industries including marketing, journalism, and customer service but also fuels advancements in model accuracy and efficiency, therefore driving the growth of the market.

Based on the industry vertical, the market is segmented into BFSI, IT/ITeS, retail and manufacturing, media & entertainment, and others. Among these, The BFSI (Banking, Financial Services, and Insurance) sector is also one of the primary markets for the Large Language Model as it uses it in customer support, fraud identification, and compliance. By employing NLP capacities, BFSI organizations can discover insights into huge volumes of unstructured data, offer consultancy services on investiture and saving, and cut risk via sentiments of the market. This rise in the use of AI to solve these problems not only increases the productivity of the power line but also develops value-added consumer experiences, enabling the increased adoption of LLM technologies in this sector to influence the growth of this market.

For a better understanding of the market adoption of the large language model, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, The Asia-Pacific Large Language Model (LLM) market is growing at an astonishing rate primarily due to the increasing use of artificial intelligence in different industry sectors including e-commerce, finance, healthcare, and education sectors. China, India, and Japan, for example, are earmarking large proportions of their resources for AI research and development, hardware, and software, and as pioneers and partakers in the LLM market. Getting down to the growing trends, specific regional languages, and dialects, LLM has been made available in multilingual models which are helping in the adoption and the government's encouragement towards AI formulations. The growth of the technology sector in the region, the continuously growing digital economy, the need for automation, and customer engagement in businesses are the drivers for market growth.

Some major players running in the market include NVIDIA Corporation; Alibaba Group Holding Limited; Amazon.com, Inc.; Baidu Research; Google LLC; Meta; Microsoft; OpenAI; Tencent; and YANDEX LLC

1.MARKET INTRODUCTION

1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

2.1. Research Process of the Global Large Language Model Market
2.2. Research Methodology of the Global Large Language Model Market
2.3. Respondent Profile

3.EXECUTIVE SUMMARY

3.1. Industry Synopsis
3.2. Segmental Outlook
- 3.2.1. Market Growth Intensity
3.3. Regional Outlook

4.MARKET DYNAMICS

4.1. Drivers
4.2. Opportunity
4.3. Restraints
4.4. Trends
4.5. PESTEL Analysis
4.6. Demand Side Analysis
4.7. Supply Side Analysis
- 4.7.1. Merger & Acquisition
- 4.7.2. Collaboration & Investment and Scenario
- 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

5.1. Regional Pricing Analysis
5.2. Price Influencing Factors

6.GLOBAL LARGE LANGUAGE MODEL MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY MODEL SIZE

7.1. Below 1 billion Parameters
7.2. 1 billion to 10 billion Parameters
7.3. 10 billion to 50 billion Parameters
7.4. 50 billion to 100 billion Parameters
7.5. 100 billion to 200 billion Parameters
7.6. 200 billion to 500 billion Parameters
7.7. Above 500 billion Parameters

8.MARKET INSIGHTS BY APPLICATION

8.1. Customer Service
8.2. Content Generation
8.3. Sentiment Analysis
8.4. Code Generation
8.5. Language Translation
8.6. Others

9.MARKET INSIGHTS BY MODALITY

9.1. Text
9.2. Code
9.3. Image
9.4. Video

10.MARKET INSIGHTS BY INDUSTRY VERTICAL

10.1. BFSI
10.2. IT/ITeS
10.3. Retail and Manufacturing
10.4. Media & Entertainment
10.5. Other

11.MARKET INSIGHTS BY REGION

11.1. North America
- 11.1.1. U.S.
- 11.1.2. Canada
- 11.1.3. Rest of North America
11.2. Europe
- 11.2.1. Germany
- 11.2.2. U.K.
- 11.2.3. France
- 11.2.4. Italy
- 11.2.5. Spain
- 11.2.6. Rest of Europe
11.3. Asia-Pacific
- 11.3.1. China
- 11.3.2. Japan
- 11.3.3. India
- 11.3.4. Rest of Asia-Pacific
11.4. Rest of World

12.VALUE CHAIN ANALYSIS

12.1. Marginal Analysis
12.2. List of Market Participants

13.COMPETITIVE LANDSCAPE

13.1. Competition Dashboard
13.2. Competitor Market Positioning Analysis
13.3. Porter Five Forces Analysis

14.COMPANY PROFILED

14.1. NVIDIA Corporation
- 14.1.1. Company Overview
- 14.1.2. Key Financials
- 14.1.3. SWOT Analysis
- 14.1.4. Product Portfolio
- 14.1.5. Recent Developments
14.2. Alibaba Group Holding Limited
14.3. Amazon.com, Inc.
14.4. Baidu Research
14.5. Google LLC
14.6. Meta
14.7. Microsoft
14.8. OpenAI
14.9. Tencent
14.10. YANDEX LLC