Selected research
Market Outlook & Growth Opportunities
Global Pre-trained Language Models (PLMs) Market Outlook and Growth Opportunities 2026
Market perspective
The global Pre-trained Language Models (PLMs) market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a compound annual growth rate (CAGR) of % over 2026-2032.
The North America market for Pre-trained Language Models (PLMs) is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The Europe market for Pre-trained Language Models (PLMs) is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for Pre-trained Language Models (PLMs) is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
In China, the Pre-trained Language Models (PLMs) market is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Major global companies in the Pre-trained Language Models (PLMs) market include IBM, OpenAI, Google, Facebook AI, Amazon Web Services, Alibaba, Baidu and Shanghai Leyan Technology, among others. In 2025, the top three vendors together accounted for approximately % of global market revenue.
This report provides an overview of the global Pre-trained Language Models (PLMs) market in terms of revenue and gross margin, analyzing global market trends using historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of Pre-trained Language Models (PLMs) and market revenue by major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents Pre-trained Language Models (PLMs) revenue, market share, and industry ranking for the main companies for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
Across the 2021-2026 period, the analysis compares revenue growth and profitability profiles by company, distinguishing participants with sustained expansion from those with more cyclical performance, and relates these patterns to differences in regional exposure, product portfolios, and application focus in the global Pre-trained Language Models (PLMs) market.
Pre-trained Language Models (PLMs) Segment by Company
IBM
OpenAI
Facebook AI
Amazon Web Services
Alibaba
Baidu
Shanghai Leyan Technology
Pre-trained Language Models (PLMs) Segment by Type
TransformerLM
RNNLM
CNNLM
Pre-trained Language Models (PLMs) Segment by Application
Machine Translation
Text and Voice Processing
Information Extraction
Question Answering System
Pre-trained Language Models (PLMs) Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global Pre-trained Language Models (PLMs) status and future forecast, involving, revenue, growth rate (CAGR), market share, historical and forecast.
2. To present the Pre-trained Language Models (PLMs) key companies, revenue, market share, and recent developments.
3. To split the Pre-trained Language Models (PLMs) breakdown data by regions, type, companies, and application.
4. To analyze the global and key regions Pre-trained Language Models (PLMs) market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify Pre-trained Language Models (PLMs) significant trends, drivers, influence factors in global and regions.
6. To analyze Pre-trained Language Models (PLMs) competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Pre-trained Language Models (PLMs) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Pre-trained Language Models (PLMs) and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in sales and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Pre-trained Language Models (PLMs).
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size.
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global Pre-trained Language Models (PLMs) industry.
Chapter 3: Detailed analysis of Pre-trained Language Models (PLMs) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: Sales value of Pre-trained Language Models (PLMs) 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 key country in the world.
Chapter 7: Sales value of Pre-trained Language Models (PLMs) in country level. It provides sigmate data by type, and by application for each country/region.
Chapter 8: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 9: Concluding Insights.
More report detail
Tables and figures
Scope & coverage.
Types
- TransformerLM
- RNNLM
- CNNLM
Applications
- Machine Translation
- Text and Voice Processing
- Information Extraction
- Question Answering System
Companies covered
- IBM
- OpenAI
- Facebook AI
- Amazon Web Services
- Alibaba
- Baidu
- Shanghai Leyan Technology
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Pre-trained Language Models (PLMs) Market Size, 2021 VS 2025 VS 2032
- 1.3 Global Pre-trained Language Models (PLMs) Market Size (2021-2032)
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Pre-trained Language Models (PLMs) Market Dynamics
- 2.1 Pre-trained Language Models (PLMs) Industry Trends
- 2.2 Pre-trained Language Models (PLMs) Industry Drivers
- 2.3 Pre-trained Language Models (PLMs) Industry Opportunities and Challenges
- 2.4 Pre-trained Language Models (PLMs) Industry Restraints
3 Pre-trained Language Models (PLMs) Market by Company
- 3.1 Global Pre-trained Language Models (PLMs) Company Revenue Ranking in 2025
- 3.2 Global Pre-trained Language Models (PLMs) Revenue by Company (2021-2026)
- 3.3 Global Pre-trained Language Models (PLMs) Company Ranking (2024-2026)
- 3.4 Global Pre-trained Language Models (PLMs) Company Manufacturing Base and Headquarters
- 3.5 Global Pre-trained Language Models (PLMs) Company Product Type and Application
- 3.6 Global Pre-trained Language Models (PLMs) Company Establishment Date
- 3.7 Market Competitive Analysis
- 3.7.1 Global Pre-trained Language Models (PLMs) Market Concentration Ratio (CR5 and HHI)
- 3.7.2 Global Top 5 and 10 Company Market Share by Revenue in 2025
- 3.7.3 2025 Pre-trained Language Models (PLMs) Tier 1, Tier 2, and Tier 3 Companies
- 3.8 Mergers and Acquisitions Expansion
4 Pre-trained Language Models (PLMs) Market by Type
- 4.1 Pre-trained Language Models (PLMs) Type Introduction
- 4.1.1 TransformerLM
- 4.1.2 RNNLM
- 4.1.3 CNNLM
- 4.2 Global Pre-trained Language Models (PLMs) Sales Value by Type
- 4.2.1 Global Pre-trained Language Models (PLMs) Sales Value by Type (2021 VS 2025 VS 2032)
- 4.2.2 Global Pre-trained Language Models (PLMs) Sales Value by Type (2021-2032)
- 4.2.3 Global Pre-trained Language Models (PLMs) Sales Value Share by Type (2021-2032)
5 Pre-trained Language Models (PLMs) Market by Application
- 5.1 Pre-trained Language Models (PLMs) Application Introduction
- 5.1.1 Machine Translation
- 5.1.2 Text and Voice Processing
- 5.1.3 Information Extraction
- 5.1.4 Question Answering System
- 5.2 Global Pre-trained Language Models (PLMs) Sales Value by Application
- 5.2.1 Global Pre-trained Language Models (PLMs) Sales Value by Application (2021 VS 2025 VS 2032)
- 5.2.2 Global Pre-trained Language Models (PLMs) Sales Value by Application (2021-2032)
- 5.2.3 Global Pre-trained Language Models (PLMs) Sales Value Share by Application (2021-2032)
6 Pre-trained Language Models (PLMs) Regional Value Analysis
- 6.1 Global Pre-trained Language Models (PLMs) Sales Value by Region: 2021 VS 2025 VS 2032
- 6.2 Global Pre-trained Language Models (PLMs) Sales Value by Region (2021-2032)
- 6.2.1 Global Pre-trained Language Models (PLMs) Sales Value by Region: 2021-2026
- 6.2.2 Global Pre-trained Language Models (PLMs) Sales Value by Region (2027-2032)
- 6.3 North America
- 6.3.1 North America Pre-trained Language Models (PLMs) Sales Value (2021-2032)
- 6.3.2 North America Pre-trained Language Models (PLMs) Sales Value Share by Country, 2025 VS 2032
- 6.4 Europe
- 6.4.1 Europe Pre-trained Language Models (PLMs) Sales Value (2021-2032)
- 6.4.2 Europe Pre-trained Language Models (PLMs) Sales Value Share by Country, 2025 VS 2032
- 6.5 Asia-Pacific
- 6.5.1 Asia-Pacific Pre-trained Language Models (PLMs) Sales Value (2021-2032)
- 6.5.2 Asia-Pacific Pre-trained Language Models (PLMs) Sales Value Share by Country, 2025 VS 2032
- 6.6 South America
- 6.6.1 South America Pre-trained Language Models (PLMs) Sales Value (2021-2032)
- 6.6.2 South America Pre-trained Language Models (PLMs) Sales Value Share by Country, 2025 VS 2032
- 6.7 Middle East & Africa
- 6.7.1 Middle East & Africa Pre-trained Language Models (PLMs) Sales Value (2021-2032)
- 6.7.2 Middle East & Africa Pre-trained Language Models (PLMs) Sales Value Share by Country, 2025 VS 2032
7 Pre-trained Language Models (PLMs) Country-level Value Analysis
- 7.1 Global Pre-trained Language Models (PLMs) Sales Value by Country: 2021 VS 2025 VS 2032
- 7.2 Global Pre-trained Language Models (PLMs) Sales Value by Country (2021-2032)
- 7.2.1 Global Pre-trained Language Models (PLMs) Sales Value by Country (2021-2026)
- 7.2.2 Global Pre-trained Language Models (PLMs) Sales Value by Country (2027-2032)
- 7.3 USA
- 7.3.1 USA Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.3.2 USA Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.3.3 USA Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.4 Canada
- 7.4.1 Canada Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.4.2 Canada Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.4.3 Canada Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.5 Mexico
- 7.5.1 Mexico Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.5.2 Mexico Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.5.3 Mexico Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.6 Germany
- 7.6.1 Germany Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.6.2 Germany Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.6.3 Germany Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.7 France
- 7.7.1 France Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.7.2 France Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.7.3 France Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.8 U.K.
- 7.8.1 U.K. Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.8.2 U.K. Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.8.3 U.K. Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.9 Italy
- 7.9.1 Italy Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.9.2 Italy Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.9.3 Italy Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.10 Spain
- 7.10.1 Spain Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.10.2 Spain Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.10.3 Spain Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.11 Russia
- 7.11.1 Russia Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.11.2 Russia Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.11.3 Russia Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.12 Netherlands
- 7.12.1 Netherlands Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.12.2 Netherlands Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.12.3 Netherlands Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.13 Nordic Countries
- 7.13.1 Nordic Countries Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.13.2 Nordic Countries Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.13.3 Nordic Countries Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.14 China
- 7.14.1 China Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.14.2 China Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.14.3 China Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.15 Japan
- 7.15.1 Japan Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.15.2 Japan Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.15.3 Japan Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.16 South Korea
- 7.16.1 South Korea Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.16.2 South Korea Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.16.3 South Korea Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.17 India
- 7.17.1 India Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.17.2 India Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.17.3 India Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.18 Australia
- 7.18.1 Australia Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.18.2 Australia Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.18.3 Australia Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.19 Southeast Asia
- 7.19.1 Southeast Asia Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.19.2 Southeast Asia Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.19.3 Southeast Asia Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.20 Brazil
- 7.20.1 Brazil Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.20.2 Brazil Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.20.3 Brazil Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.21 Argentina
- 7.21.1 Argentina Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.21.2 Argentina Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.21.3 Argentina Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.22 Chile
- 7.22.1 Chile Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.22.2 Chile Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.22.3 Chile Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.23 Colombia
- 7.23.1 Colombia Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.23.2 Colombia Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.23.3 Colombia Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.24 Peru
- 7.24.1 Peru Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.24.2 Peru Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.24.3 Peru Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.25 Saudi Arabia
- 7.25.1 Saudi Arabia Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.25.2 Saudi Arabia Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.25.3 Saudi Arabia Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.26 Israel
- 7.26.1 Israel Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.26.2 Israel Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.26.3 Israel Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.27 UAE
- 7.27.1 UAE Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.27.2 UAE Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.27.3 UAE Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.28 Turkey
- 7.28.1 Turkey Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.28.2 Turkey Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.28.3 Turkey Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.29 Iran
- 7.29.1 Iran Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.29.2 Iran Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.29.3 Iran Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
- 7.30 Egypt
- 7.30.1 Egypt Pre-trained Language Models (PLMs) Sales Value Growth Rate (2021-2032)
- 7.30.2 Egypt Pre-trained Language Models (PLMs) Sales Value Share by Type, 2025 VS 2032
- 7.30.3 Egypt Pre-trained Language Models (PLMs) Sales Value Share by Application, 2025 VS 2032
8 Company Profiles
- 8.1 IBM
- 8.1.1 IBM Company Information
- 8.1.2 IBM Business Overview
- 8.1.3 IBM Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.1.4 IBM Pre-trained Language Models (PLMs) Product Portfolio
- 8.1.5 IBM Recent Developments
- 8.2 OpenAI
- 8.2.1 OpenAI Company Information
- 8.2.2 OpenAI Business Overview
- 8.2.3 OpenAI Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.2.4 OpenAI Pre-trained Language Models (PLMs) Product Portfolio
- 8.2.5 OpenAI Recent Developments
- 8.3 Google
- 8.3.1 Google Company Information
- 8.3.2 Google Business Overview
- 8.3.3 Google Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.3.4 Google Pre-trained Language Models (PLMs) Product Portfolio
- 8.3.5 Google Recent Developments
- 8.4 Facebook AI
- 8.4.1 Facebook AI Company Information
- 8.4.2 Facebook AI Business Overview
- 8.4.3 Facebook AI Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.4.4 Facebook AI Pre-trained Language Models (PLMs) Product Portfolio
- 8.4.5 Facebook AI Recent Developments
- 8.5 Amazon Web Services
- 8.5.1 Amazon Web Services Company Information
- 8.5.2 Amazon Web Services Business Overview
- 8.5.3 Amazon Web Services Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.5.4 Amazon Web Services Pre-trained Language Models (PLMs) Product Portfolio
- 8.5.5 Amazon Web Services Recent Developments
- 8.6 Alibaba
- 8.6.1 Alibaba Company Information
- 8.6.2 Alibaba Business Overview
- 8.6.3 Alibaba Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.6.4 Alibaba Pre-trained Language Models (PLMs) Product Portfolio
- 8.6.5 Alibaba Recent Developments
- 8.7 Baidu
- 8.7.1 Baidu Company Information
- 8.7.2 Baidu Business Overview
- 8.7.3 Baidu Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.7.4 Baidu Pre-trained Language Models (PLMs) Product Portfolio
- 8.7.5 Baidu Recent Developments
- 8.8 Shanghai Leyan Technology
- 8.8.1 Shanghai Leyan Technology Company Information
- 8.8.2 Shanghai Leyan Technology Business Overview
- 8.8.3 Shanghai Leyan Technology Pre-trained Language Models (PLMs) Revenue and Gross Margin (2021-2026)
- 8.8.4 Shanghai Leyan Technology Pre-trained Language Models (PLMs) Product Portfolio
- 8.8.5 Shanghai Leyan Technology Recent Developments
9 Concluding Insights
10 Appendix
- 10.1 Reasons for Doing This Study
- 10.2 Research Methodology
- 10.3 Research Process
- 10.4 Authors List of This Report
- 10.5 Data Source
- 10.5.1 Secondary Sources
- 10.5.2 Primary Sources
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