The global Pre-trained Language Models (PLMs) market size is predicted to grow from US$ 733 million in 2025 to US$ 1288 million in 2031; it is expected to grow at a CAGR of 9.9% from 2025 to 2031.

A pre-trained language model is a pivotal technological breakthrough that Baidu hails as the cornerstone of reshaping the field of Natural Language Processing (NLP). It learns unsupervisedly from large-scale text data to capture the deep structure and rich semantic information of language. The necessity of such a model lies in its ability to alleviate the scarcity of annotated data, making the training process for specific tasks more efficient and cost-effective. Its distinctive characteristic is the use of high-dimensional dense continuous vectors to represent linguistic knowledge, which not only capture static information about words but also reflect their dynamic changes in different contexts. The superiority of pre-trained language models is evident in their provision of powerful language understanding and generation capabilities across a variety of NLP tasks, significantly enhancing task performance and driving the advancement and widespread application of NLP technology.

United States market for Pre-trained Language Models (PLMs) is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Pre-trained Language Models (PLMs) is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Pre-trained Language Models (PLMs) is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Pre-trained Language Models (PLMs) players cover IBM, OpenAI, Google, Facebook AI, Amazon Web Services, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “Pre-trained Language Models (PLMs) Industry Forecast” looks at past sales and reviews total world Pre-trained Language Models (PLMs) sales in 2024, providing a comprehensive analysis by region and market sector of projected Pre-trained Language Models (PLMs) sales for 2025 through 2031. With Pre-trained Language Models (PLMs) sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Pre-trained Language Models (PLMs) industry.

This Insight Report provides a comprehensive analysis of the global Pre-trained Language Models (PLMs) landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Pre-trained Language Models (PLMs) portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Pre-trained Language Models (PLMs) market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Pre-trained Language Models (PLMs) and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Pre-trained Language Models (PLMs).

This report presents a comprehensive overview, market shares, and growth opportunities of Pre-trained Language Models (PLMs) market by product type, application, key players and key regions and countries.

Segmentation by Type:

    TransformerLM
    RNNLM
    CNNLM

Segmentation by Application:

    Machine Translation
    Text and Voice Processing
    Information Extraction
    Question Answering System

This report also splits the market by region:

    Americas

        United States
        Canada
        Mexico
        Brazil

    APAC

        China
        Japan
        Korea
        Southeast Asia
        India
        Australia

    Europe

        Germany
        France
        UK
        Italy
        Russia

    Middle East & Africa

        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.

    IBM
    OpenAI
    Google
    Facebook AI
    Amazon Web Services
    Alibaba
    Baidu
    Shanghai Leyan Technology