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1476394

到 2030 年的大規模語言模型市場預測：按產品、架構、模式、應用程式、最終用戶和地區進行的全球分析

Large Language Model Market Forecasts to 2030 - Global Analysis By Offering, Architecture, Modality, Application, End User and By Geography

出版日期: 2024年05月05日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，2023 年全球大規模語言模型市場規模為 16 億美元，預計到 2030 年將達到 130.8 億美元，預測期內複合年成長率為 35.0%。

大規模語言模型 (LLM) 是一種人工智慧，旨在根據經過訓練的大量資料來理解和產生類似人類的文字。這些模型（如 GPT-3）建立在深度學習架構（特別是變壓器）之上，使它們能夠以令人印象深刻的規模處理和生成文字。法學碩士擅長各種語言任務，包括翻譯、摘要和問答，並且經常在基準測試中達到人類或超人的表現。法學碩士可以從他們接受培訓的資料中學習模式和關係，並在廣泛的主題中產生連貫的、與上下文相關的回應。

人工智慧和機器學習的進步

人工智慧和機器學習的進步透過提高這些模型的功能和性能，推動了大規模語言模型 (LLM) 市場的發展。由於演算法、資料處理和計算能力方面的突破，法學碩士現在能夠以前所未有的準確性和一致性理解和生成類似人類的文本。這些進步導致了從自然語言處理到內容生成和翻譯等各個領域的應用。此外，LLM 變得更具可擴展性和效率，使其可用於各種任務，例如客戶服務自動化、資料分析和個人化內容創建。

偏見和公平

大規模語言模型中的偏差和公平性約束涉及確保其應用中公平且無偏見的結果。這包括識別和減輕用於訓練模型的資料中固有的偏差。解決偏差需要資料預處理、演算法調整和訓練資料集集中的多樣化表示等技術。公平限制旨在防止法學碩士申請中出現歧視性結果，特別是在就業、貸款和內容審核等敏感領域。實施這些限制需要採用包括倫理學、社會學和電腦科學在內的跨學科方法，以促進法學碩士在社會中負責任和公平的部署。

內容生成和個人化

大規模的語言模型市場為內容生成和個人化提供了重要的機會。憑藉著理解和產生類人文本的能力，法學碩士可以自動化從新聞到行銷等各個行業的內容創建。此外，法學碩士透過根據個人偏好、行為和屬性客製化內容來實現個人化體驗。這種程度的客製化可以提高用戶參與度和滿意度，從而提高轉換率和品牌忠誠度。此外，法學碩士可以根據即時資料動態調整內容，以確保相關性和及時性。這些功能使企業能夠有效地擴展內容製作，同時向受眾傳遞高度針對性的訊息。

工作替代

大規模語言模型的出現對工作流失構成了重大威脅，因為它們能夠自動執行許多傳統上由人類執行的任務。法學碩士可以快速處理大量文本，有可能取代內容創作、翻譯和客戶服務等角色。隨著公司採用法學碩士來提高效率，這些領域對人力的需求可能會減少。這種轉移可能會導致失業，尤其是涉及重複性或常規認知任務的工作。應對這種轉變可能需要提陞技能或過渡到補充而不是與法學碩士能力競爭的角色。

COVID-19 的影響：

COVID-19疫情顯著加速了各領域對大規模語言模式（LLM）的需求。隨著遠距工作和數位轉型成為必然，公司越來越依賴法學碩士來自動化任務、增強客戶服務和簡化營運。需求的激增導致對法學碩士研發的投資增加，以及醫療保健、金融和教育等行業的採用增加。然而，疫情造成的供應鏈中斷和經濟不確定性也為LLM製造商和開發商帶來了挑戰。

預計服務業將在預測期內成為最大的產業

由於多種因素，大規模語言模型市場的服務部分正在經歷強勁成長。隨著越來越多的公司認知到LLM在提高效率和決策方面的價值，對實施和客製化LLM模型以滿足特定業務需求的專業服務的需求不斷成長。 LLM 技術的複雜性需要持續的支援和維護，從而增加了對諮詢、培訓和託管服務的需求。此外，隨著法學碩士在各個行業中變得至關重要，服務供應商正在擴大其特定領域專業知識的提供，例如醫療保健和金融，進一步推動市場成長。

資料分析和商業情報產業預計在預測期內複合年成長率最高。

對高階資料處理和解釋能力不斷成長的需求推動了資料分析和商業情報領域的成長。法學碩士提供了強大的工具，可以從海量資料集提取見解，使公司能夠更準確、更有效率地做出資料主導的決策。隨著各行各業的公司意識到利用資料獲得競爭優勢的價值，資料分析和商業情報法學碩士的採用率越來越高。法學碩士自然語言處理技術的進步正在提高理解和解釋複雜資料的能力，進一步推動市場成長。

佔比最大的地區：

北美大規模語言建模市場的成長得益於該地區多家高科技巨頭和主要人工智慧研究機構的存在，促進了語言建模技術的創新和發展。包括醫療保健、金融和客戶服務在內的各個領域對自然語言處理應用程式的需求不斷成長，正在推動法學碩士的採用。北美擁有強大的雲端處理和資料中心基礎設施，有利於法學碩士的部署和擴充性。此外，熟練勞動力的存在和支持人工智慧研究和開發的有利政府政策進一步推動了該地區法學碩士市場的成長。

複合年成長率最高的地區：

近年來，亞太地區大規模語言模型 (LLM) 得到了顯著採用和成長。這一成長歸因於多種因素，包括該地區不斷增加的技術基礎設施、金融、醫療保健和電子商務等行業對人工智慧主導的解決方案的需求激增，以及馬蘇熟練的人工智慧人才庫的不斷成長。旨在促進人工智慧研究和開發的政府措施進一步刺激了亞太地區法學碩士市場的擴張。此外，該地區的文化多樣性和廣闊的語言環境帶來了獨特的挑戰，法學碩士非常適合併支持其普及。

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公司簡介
- 其他市場參與者的綜合分析（最多 3 家公司）
- 主要企業SWOT分析（最多3家企業）
區域分割
- 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

資訊搜尋
語言翻譯和在地化
- 多語言翻譯
- 在地化服務
內容產生和管理
- 自動化新聞和報導寫作
- 文學
程式碼生成
客戶服務自動化
- 聊天機器人和虛擬助理
- 銷售和行銷自動化
- 個性化推薦
資料分析和商業智慧
- 情緒分析
- 業務報告和市場分析
其他應用

第9章全球大規模語言模型市場：依最終用戶分類

資訊科技（IT）
醫療保健和生命科學
律師事務所
製造業
教育
零售
媒體和娛樂
其他最終用戶

第10章全球大規模語言模型市場：按地區

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東/非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲

第11章主要進展

合約、夥伴關係、協作和合資企業
收購和合併
新產品發布
業務擴展
其他關鍵策略

第12章公司概況

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

簡介目錄圖表

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

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

簡介目錄圖表

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)