Large Language Model (LLM) - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509245834

Publication Date:

September 3, 2024

Pages:

127

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Large Language Model refers to a model with a large capacity for deep learning tasks, usually with a large number of parameters and complex architecture. The Large Language Model has better versatility, accuracy, and efficiency. It can learn on large data sets through pre-training or other methods, and then efficiently handle complex tasks such as computer vision and natural language processing through fine-tuning.
The global market for Large Language Model (LLM) was estimated to be worth US$ 11060 million in 2023 and is forecast to a readjusted size of US$ 71500 million by 2030 with a CAGR of 36.0% during the forecast period 2024-2030
The Large Language Model market caters to the demand for advanced language models capable of understanding and generating human-like text. These models find applications in natural language processing, content creation, conversational AI, and knowledge management. The market is driven by the increasing need for accurate language processing, improved content generation, and enhanced user experiences in various domains.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Large Language Model (LLM), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Large Language Model (LLM) by region & country, by Type, and by Application.
The Large Language Model (LLM) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Large Language Model (LLM).
Market Segmentation
By Company
Meta
AI21 Labs
Tencent
Yandex
DeepMind
Naver
Open AI
Google
Microsoft
Meta
Amazon
Baidu
Deepmind
Anthropic
Alibaba
Huawei
Segment by Type:
Hundreds of Billions of Parameters
Trillions of Parameters
Segment by Application
Medical
Minancial
Industrial
Education
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Large Language Model (LLM) manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Large Language Model (LLM) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Large Language Model (LLM) in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Large Language Model (LLM) Product Introduction
1.2 Global Large Language Model (LLM) Market Size Forecast
1.3 Large Language Model (LLM) Market Trends & Drivers
1.3.1 Large Language Model (LLM) Industry Trends
1.3.2 Large Language Model (LLM) Market Drivers & Opportunity
1.3.3 Large Language Model (LLM) Market Challenges
1.3.4 Large Language Model (LLM) Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Large Language Model (LLM) Players Revenue Ranking (2023)
2.2 Global Large Language Model (LLM) Revenue by Company (2019-2024)
2.3 Key Companies Large Language Model (LLM) Manufacturing Base Distribution and Headquarters
2.4 Key Companies Large Language Model (LLM) Product Offered
2.5 Key Companies Time to Begin Mass Production of Large Language Model (LLM)
2.6 Large Language Model (LLM) Market Competitive Analysis
2.6.1 Large Language Model (LLM) Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Large Language Model (LLM) Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Large Language Model (LLM) as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hundreds of Billions of Parameters
3.1.2 Trillions of Parameters
3.2 Global Large Language Model (LLM) Sales Value by Type
3.2.1 Global Large Language Model (LLM) Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Large Language Model (LLM) Sales Value, by Type (2019-2030)
3.2.3 Global Large Language Model (LLM) Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Medical
4.1.2 Minancial
4.1.3 Industrial
4.1.4 Education
4.1.5 Others
4.2 Global Large Language Model (LLM) Sales Value by Application
4.2.1 Global Large Language Model (LLM) Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Large Language Model (LLM) Sales Value, by Application (2019-2030)
4.2.3 Global Large Language Model (LLM) Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Large Language Model (LLM) Sales Value by Region
5.1.1 Global Large Language Model (LLM) Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Large Language Model (LLM) Sales Value by Region (2019-2024)
5.1.3 Global Large Language Model (LLM) Sales Value by Region (2025-2030)
5.1.4 Global Large Language Model (LLM) Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Large Language Model (LLM) Sales Value, 2019-2030
5.2.2 North America Large Language Model (LLM) Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Large Language Model (LLM) Sales Value, 2019-2030
5.3.2 Europe Large Language Model (LLM) Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Large Language Model (LLM) Sales Value, 2019-2030
5.4.2 Asia Pacific Large Language Model (LLM) Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Large Language Model (LLM) Sales Value, 2019-2030
5.5.2 South America Large Language Model (LLM) Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Large Language Model (LLM) Sales Value, 2019-2030
5.6.2 Middle East & Africa Large Language Model (LLM) Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Large Language Model (LLM) Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Large Language Model (LLM) Sales Value
6.3 United States
6.3.1 United States Large Language Model (LLM) Sales Value, 2019-2030
6.3.2 United States Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Large Language Model (LLM) Sales Value, 2019-2030
6.4.2 Europe Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Large Language Model (LLM) Sales Value, 2019-2030
6.5.2 China Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.5.3 China Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Large Language Model (LLM) Sales Value, 2019-2030
6.6.2 Japan Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Large Language Model (LLM) Sales Value, 2019-2030
6.7.2 South Korea Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Large Language Model (LLM) Sales Value, 2019-2030
6.8.2 Southeast Asia Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Large Language Model (LLM) Sales Value, 2019-2030
6.9.2 India Large Language Model (LLM) Sales Value by Type (%), 2023 VS 2030
6.9.3 India Large Language Model (LLM) Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Meta
7.1.1 Meta Profile
7.1.2 Meta Main Business
7.1.3 Meta Large Language Model (LLM) Products, Services and Solutions
7.1.4 Meta Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.1.5 Meta Recent Developments
7.2 AI21 Labs
7.2.1 AI21 Labs Profile
7.2.2 AI21 Labs Main Business
7.2.3 AI21 Labs Large Language Model (LLM) Products, Services and Solutions
7.2.4 AI21 Labs Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.2.5 AI21 Labs Recent Developments
7.3 Tencent
7.3.1 Tencent Profile
7.3.2 Tencent Main Business
7.3.3 Tencent Large Language Model (LLM) Products, Services and Solutions
7.3.4 Tencent Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.3.5 Yandex Recent Developments
7.4 Yandex
7.4.1 Yandex Profile
7.4.2 Yandex Main Business
7.4.3 Yandex Large Language Model (LLM) Products, Services and Solutions
7.4.4 Yandex Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.4.5 Yandex Recent Developments
7.5 DeepMind
7.5.1 DeepMind Profile
7.5.2 DeepMind Main Business
7.5.3 DeepMind Large Language Model (LLM) Products, Services and Solutions
7.5.4 DeepMind Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.5.5 DeepMind Recent Developments
7.6 Naver
7.6.1 Naver Profile
7.6.2 Naver Main Business
7.6.3 Naver Large Language Model (LLM) Products, Services and Solutions
7.6.4 Naver Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.6.5 Naver Recent Developments
7.7 Open AI
7.7.1 Open AI Profile
7.7.2 Open AI Main Business
7.7.3 Open AI Large Language Model (LLM) Products, Services and Solutions
7.7.4 Open AI Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.7.5 Open AI Recent Developments
7.8 Google
7.8.1 Google Profile
7.8.2 Google Main Business
7.8.3 Google Large Language Model (LLM) Products, Services and Solutions
7.8.4 Google Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.8.5 Google Recent Developments
7.9 Microsoft
7.9.1 Microsoft Profile
7.9.2 Microsoft Main Business
7.9.3 Microsoft Large Language Model (LLM) Products, Services and Solutions
7.9.4 Microsoft Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.9.5 Microsoft Recent Developments
7.10 Meta
7.10.1 Meta Profile
7.10.2 Meta Main Business
7.10.3 Meta Large Language Model (LLM) Products, Services and Solutions
7.10.4 Meta Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.10.5 Meta Recent Developments
7.11 Amazon
7.11.1 Amazon Profile
7.11.2 Amazon Main Business
7.11.3 Amazon Large Language Model (LLM) Products, Services and Solutions
7.11.4 Amazon Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.11.5 Amazon Recent Developments
7.12 Baidu
7.12.1 Baidu Profile
7.12.2 Baidu Main Business
7.12.3 Baidu Large Language Model (LLM) Products, Services and Solutions
7.12.4 Baidu Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.12.5 Baidu Recent Developments
7.13 Deepmind
7.13.1 Deepmind Profile
7.13.2 Deepmind Main Business
7.13.3 Deepmind Large Language Model (LLM) Products, Services and Solutions
7.13.4 Deepmind Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.13.5 Deepmind Recent Developments
7.14 Anthropic
7.14.1 Anthropic Profile
7.14.2 Anthropic Main Business
7.14.3 Anthropic Large Language Model (LLM) Products, Services and Solutions
7.14.4 Anthropic Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.14.5 Anthropic Recent Developments
7.15 Alibaba
7.15.1 Alibaba Profile
7.15.2 Alibaba Main Business
7.15.3 Alibaba Large Language Model (LLM) Products, Services and Solutions
7.15.4 Alibaba Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.15.5 Alibaba Recent Developments
7.16 Huawei
7.16.1 Huawei Profile
7.16.2 Huawei Main Business
7.16.3 Huawei Large Language Model (LLM) Products, Services and Solutions
7.16.4 Huawei Large Language Model (LLM) Revenue (US$ Million) & (2019-2024)
7.16.5 Huawei Recent Developments
8 Industry Chain Analysis
8.1 Large Language Model (LLM) Industrial Chain
8.2 Large Language Model (LLM) Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Large Language Model (LLM) Sales Model
8.5.2 Sales Channel
8.5.3 Large Language Model (LLM) Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Meta
AI21 Labs
Tencent
Yandex
DeepMind
Naver
Open AI
Google
Microsoft
Meta
Amazon
Baidu
Deepmind
Anthropic
Alibaba
Huawei

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂