Global Large Language Model (LLM) Market 2024 by Company, Regions, Type and Application, Forecast to 2030
According to our (Global Info Research) latest study, the global Large Language Model (LLM) market size was valued at USD 1340.6 million in 2023 and is forecast to a readjusted size of USD 540600 million by 2030 with a CAGR of 135.6% during review period.
A large language model (LLM) is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content. The term generative AI also is closely connected with LLMs, which are, in fact, a type of generative AI that has been specifically architected to help generate text-based content.
The key players of Large Language Model (LLM) include Open AI(ChatGPT), Google(PaLM) and Meta (LLaMA), etc. The top three players hold a share over 82%. North America is the largest market, has a share about 53%. In terms of product type, Below 100 Billion Parameters is the largest segment, occupied for a share of about 70%, and for application ,and in terms of application, Chatbots and Virtual Assistants has a share about 29%.
The Global Info Research report includes an overview of the development of the Large Language Model (LLM) industry chain, the market status of Chatbots and Virtual Assistants (Below 100 Billion Parameters, Above 100 Billion Parameters), Content Generation (Below 100 Billion Parameters, Above 100 Billion Parameters), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Large Language Model (LLM).
Regionally, the report analyzes the Large Language Model (LLM) markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Large Language Model (LLM) market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Large Language Model (LLM) market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Large Language Model (LLM) industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Below 100 Billion Parameters, Above 100 Billion Parameters).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Large Language Model (LLM) market.
Regional Analysis: The report involves examining the Large Language Model (LLM) market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Large Language Model (LLM) market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Large Language Model (LLM):
Company Analysis: Report covers individual Large Language Model (LLM) players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Large Language Model (LLM) This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Chatbots and Virtual Assistants, Content Generation).
Technology Analysis: Report covers specific technologies relevant to Large Language Model (LLM). It assesses the current state, advancements, and potential future developments in Large Language Model (LLM) areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Large Language Model (LLM) market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Large Language Model (LLM) market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Below 100 Billion Parameters
Above 100 Billion Parameters
Market segment by Application
Chatbots and Virtual Assistants
Content Generation
Language Translation
Code Development
Sentiment Analysis
Medical Diagnosis and Treatment
Education
Others
Market segment by players, this report covers
Open AI(ChatGPT)
Google(PaLM)
Meta (LLaMA)
AI21 Labs(Jurassic)
Cohere
Anthropic(Claude)
Microsoft(Turing-NLG, Orca)
Huawei(Pangu)
Naver(HyperCLOVA)
Tencent(Hunyuan)
Yandex(YaLM)
Amazon(Titan, Olympus)
Alibaba(Qwen)
Baidu (Ernie)
Technology Innovation Institute (TII) (Falcon)
Crowdworks
NEC
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Large Language Model (LLM) product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Large Language Model (LLM), with revenue, gross margin and global market share of Large Language Model (LLM) from 2019 to 2024.
Chapter 3, the Large Language Model (LLM) competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Large Language Model (LLM) market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Large Language Model (LLM).
Chapter 13, to describe Large Language Model (LLM) research findings and conclusion.