Global Artificial Intelligence Large Language Models Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Artificial Intelligence Large Language Models Market 2024 by Company, Regions, Type and Application, Forecast to 2030

A large language model (LLM) is a type of language model notable for its ability to achieve general-purpose language understanding and generation. LLMs acquire these abilities by using massive amounts of data to learn billions of parameters during training and consuming large computational resources during their training and operation. LLMs are artificial neural networks (mainly transformers) and are (pre-)trained using self-supervised learning and semi-supervised learning. As autoregressive language models, they work by taking an input text and repeatedly predicting the next token or word. Up to 2020, fine tuning was the only way a model could be adapted to be able to accomplish specific tasks. Larger sized models, such as GPT-4, however, can be prompt-engineered to achieve similar results. They are thought to acquire embodied knowledge about syntax, semantics and "ontology" inherent in human language corpora, but also inaccuracies and biases present in the corpora.

According to our (Global Info Research) latest study, the global Artificial Intelligence Large Language Models market size was valued at US$ 1637 million in 2023 and is forecast to a readjusted size of USD 251070 million by 2030 with a CAGR of 77.9% during review period.

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 86%. 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%. In terms of application, Chatbots and Virtual Assistants has a share about 32%.

This report is a detailed and comprehensive analysis for global Artificial Intelligence Large Language Models market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global Artificial Intelligence Large Language Models market size and forecasts, in consumption value ($ Million), 2019-2030

Global Artificial Intelligence Large Language Models market size and forecasts by region and country, in consumption value ($ Million), 2019-2030

Global Artificial Intelligence Large Language Models market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030

Global Artificial Intelligence Large Language Models market shares of main players, in revenue ($ Million), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Artificial Intelligence Large Language Models

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Artificial Intelligence Large Language Models market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Open AI(ChatGPT), Google(PaLM), Meta (LLaMA), AI21 Labs(Jurassic), Cohere, Anthropic(Claude), Microsoft(Turing-NLG, Orca), Huawei(Pangu), Naver(HyperCLOVA), Tencent(Hunyuan), etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Artificial Intelligence Large Language Models 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. This analysis can help you expand your business by targeting qualified niche markets.

Market segmentation

Artificial Intelligence Large Language Models market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

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 and Rest of Asia-Pacific)

South America (Brazil, 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 Artificial Intelligence Large Language Models product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Artificial Intelligence Large Language Models, with revenue, gross margin, and global market share of Artificial Intelligence Large Language Models from 2019 to 2024.

Chapter 3, the Artificial Intelligence Large Language Models 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 by Application, with consumption value and growth rate by Type, by 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 Artificial Intelligence Large Language Models market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence Large Language Models.

Chapter 13, to describe Artificial Intelligence Large Language Models research findings and conclusion.