首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1591740

全球大規模語言模型（LLM）市場：現況分析與預測（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個工作天內

價格

簡介目錄

全球大規模語言模型（LLM）市場規模預計將呈現約33.8%的成長率。這是因為基於雲端的 AI 服務（AWS、Google Cloud、Azure AI 等）的激增使得 LLM 可擴展的部署和培訓可供各種規模的公司使用。此外，該行業不斷增加的研發、投資、產品進步和合作正在推動大規模語言模型市場的發展。例如，2023年12月，微軟發佈了InsightPilot，這是一個使用大規模語言模型（LLM）的自動資料探索系統。這個創新系統是專門為簡化資料探索過程而設計的。 InsightPilot 包含一組精心設計的分析操作，旨在簡化資料探索。當遇到自然語言問題時，InsightPilot 與 LLM 整合來執行一系列分析操作，以促進資料探索和產生有價值的見解。

以模型規模來看，市場小於10億個參數、10億到100億個參數、100億到500億個參數、500億到1000億個參數、1000億到2000億個參數、2000億到5000億個參數，分成超過5000億個參數。在大型語言模型市場中，不到 10 億個參數類別代表了最大的市場，它提供了輕量級且高效的模型，對於計算資源有限的公司來說更容易獲得且更具成本效益。這些緊湊的模型可提供更快的處理時間和更低的營運成本，使其成為即時應用程式、邊緣運算和小型企業的理想選擇。它們的低能耗和針對特定任務進行微調的能力使其被廣泛採用，特別是在可擴展性和快速部署非常重要的行業中。

市場區隔依應用分為客戶服務、內容產生、情緒分析、程式碼產生、語言翻譯等。其中，客戶服務領域是大規模語言模型市場的主要驅動因素。這是因為 "客戶服務" 類別佔據主導地位，因為它可以透過聊天機器人和虛擬助理等智慧對話人工智慧解決方案來幫助企業改善與客戶的關係。這些法學碩士解決客戶的問題和疑慮，解決問題，並透過各種媒體形式提供即時協助。化學品供應商公司可以簡化必要的活動、提高回應準確性、最大限度地降低成本並提供 24/7 全天候服務。因此，隨著越來越多的組織掌握人工智慧在增強客戶服務方面的潛力，對專門從事該領域的法學碩士的需求可能仍然很高。

依形態，市場分為文字、程式碼、圖像和影片。其中，文本分割是大規模語言模型市場的關鍵驅動力，它支援文本創建、情感分析、文本摘要和翻譯等多種應用。隨著公司尋求效率、改善認知互動和增加利潤，諸如文本分析之類的活動正在穩步轉移給法學碩士。申請數量的增加不僅增加了法學碩士在行銷、新聞和客戶服務等各個行業的使用，而且促進了模型準確性和效率的提高，推動了市場成長。

依行業分為 BFSI、IT/ITeS、零售/製造、媒體/娛樂和其他。 BFSI（銀行、金融服務、保險）領域也是大規模語言模型的主要市場之一，因為 NLP 用於客戶支援、詐欺識別和合規性。透過利用 NLP 的力量，BFSI 組織可以從大量非結構化資料中發現見解，提供投資和儲蓄諮詢服務，並透過市場情緒降低風險。增加使用人工智慧來解決此類問題不僅可以提高生產力，還可以開發增值的消費者體驗，從而增加該領域的法學碩士技術的採用並增加市場佔有率。

為了更瞭解大規模語言模型的市場採用情況，市場包括北美（美國、加拿大、北美其他地區）、歐洲（德國、英國、法國、西班牙、義大利、歐洲其他地區）、亞洲太平洋地區（中國、日本）、印度、世界其他地區（亞太地區）和世界其他地區。其中，亞太地區大規模語言模型（LLM）市場正在出現巨大增長，這主要得益於人工智慧在電子商務、金融、醫療保健和教育等各個行業領域的使用不斷增加。例如，中國、印度和日本是法學碩士市場的先驅和參與者，在人工智慧研發、硬體和軟體方面投入了大量資源。 LLM專注於成長趨勢、特定區域語言和方言，現已提供多語言模型，有助於在人工智慧制定中採用並受到政府鼓勵。該地區技術行業的成長、數位經濟的不斷增長、自動化的需求以及客戶對業務的參與是市場成長的驅動因素。

推動市場的主要公司包括 NVIDIA Corporation、阿里巴巴集團控股有限公司、Amazon.com, Inc.、百度研究院、Google LLC、Meta、微軟、OpenAI、騰訊、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