Large Language Model (LLM) software is a software program trained using deep learning techniques to understand and generate natural language text. This software can be used for various tasks such as text generation, dialogue systems, automatic translation, language understanding, etc.
The global Large Language Models (LLMs) Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Large Language Models (LLMs) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Large Language Models (LLMs) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Large Language Models (LLMs) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Large Language Models (LLMs) Software include Gemini, OpenAI, Microsoft Copilot, NVIDIA, Tune AI, IBM, Crowdin, Anthropic, Stability AI, Databricks, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Large Language Models (LLMs) Software, 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 Models (LLMs) Software.
The Large Language Models (LLMs) Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Large Language Models (LLMs) Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Large Language Models (LLMs) Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Gemini
OpenAI
Microsoft Copilot
NVIDIA
Tune AI
IBM
Crowdin
Anthropic
Stability AI
Databricks
SambaNova
sensori.ai
Vinta Software
Mistral AI
Allganize
Cerebras
Glean
Hyperleap AI
Writer
RagaAI
Segment by Type
Cloud-based
On-premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Large Language Models (LLMs) Software 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Large Language Models (LLMs) Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global Large Language Models (LLMs) Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Large Language Models (LLMs) Software Market Perspective (2019-2030)
2.2 Global Large Language Models (LLMs) Software Growth Trends by Region
2.2.1 Global Large Language Models (LLMs) Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Large Language Models (LLMs) Software Historic Market Size by Region (2019-2024)
2.2.3 Large Language Models (LLMs) Software Forecasted Market Size by Region (2025-2030)
2.3 Large Language Models (LLMs) Software Market Dynamics
2.3.1 Large Language Models (LLMs) Software Industry Trends
2.3.2 Large Language Models (LLMs) Software Market Drivers
2.3.3 Large Language Models (LLMs) Software Market Challenges
2.3.4 Large Language Models (LLMs) Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Large Language Models (LLMs) Software Players by Revenue
3.1.1 Global Top Large Language Models (LLMs) Software Players by Revenue (2019-2024)
3.1.2 Global Large Language Models (LLMs) Software Revenue Market Share by Players (2019-2024)
3.2 Global Large Language Models (LLMs) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Large Language Models (LLMs) Software Revenue
3.4 Global Large Language Models (LLMs) Software Market Concentration Ratio
3.4.1 Global Large Language Models (LLMs) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Large Language Models (LLMs) Software Revenue in 2023
3.5 Global Key Players of Large Language Models (LLMs) Software Head office and Area Served
3.6 Global Key Players of Large Language Models (LLMs) Software, Product and Application
3.7 Global Key Players of Large Language Models (LLMs) Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Large Language Models (LLMs) Software Breakdown Data by Type
4.1 Global Large Language Models (LLMs) Software Historic Market Size by Type (2019-2024)
4.2 Global Large Language Models (LLMs) Software Forecasted Market Size by Type (2025-2030)
5 Large Language Models (LLMs) Software Breakdown Data by Application
5.1 Global Large Language Models (LLMs) Software Historic Market Size by Application (2019-2024)
5.2 Global Large Language Models (LLMs) Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Large Language Models (LLMs) Software Market Size (2019-2030)
6.2 North America Large Language Models (LLMs) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Large Language Models (LLMs) Software Market Size by Country (2019-2024)
6.4 North America Large Language Models (LLMs) Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Large Language Models (LLMs) Software Market Size (2019-2030)
7.2 Europe Large Language Models (LLMs) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Large Language Models (LLMs) Software Market Size by Country (2019-2024)
7.4 Europe Large Language Models (LLMs) Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Large Language Models (LLMs) Software Market Size (2019-2030)
8.2 Asia-Pacific Large Language Models (LLMs) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Large Language Models (LLMs) Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Large Language Models (LLMs) Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Large Language Models (LLMs) Software Market Size (2019-2030)
9.2 Latin America Large Language Models (LLMs) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Large Language Models (LLMs) Software Market Size by Country (2019-2024)
9.4 Latin America Large Language Models (LLMs) Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Large Language Models (LLMs) Software Market Size (2019-2030)
10.2 Middle East & Africa Large Language Models (LLMs) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Large Language Models (LLMs) Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Large Language Models (LLMs) Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Gemini
11.1.1 Gemini Company Details
11.1.2 Gemini Business Overview
11.1.3 Gemini Large Language Models (LLMs) Software Introduction
11.1.4 Gemini Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.1.5 Gemini Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Details
11.2.2 OpenAI Business Overview
11.2.3 OpenAI Large Language Models (LLMs) Software Introduction
11.2.4 OpenAI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.2.5 OpenAI Recent Development
11.3 Microsoft Copilot
11.3.1 Microsoft Copilot Company Details
11.3.2 Microsoft Copilot Business Overview
11.3.3 Microsoft Copilot Large Language Models (LLMs) Software Introduction
11.3.4 Microsoft Copilot Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.3.5 Microsoft Copilot Recent Development
11.4 NVIDIA
11.4.1 NVIDIA Company Details
11.4.2 NVIDIA Business Overview
11.4.3 NVIDIA Large Language Models (LLMs) Software Introduction
11.4.4 NVIDIA Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.4.5 NVIDIA Recent Development
11.5 Tune AI
11.5.1 Tune AI Company Details
11.5.2 Tune AI Business Overview
11.5.3 Tune AI Large Language Models (LLMs) Software Introduction
11.5.4 Tune AI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.5.5 Tune AI Recent Development
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM Large Language Models (LLMs) Software Introduction
11.6.4 IBM Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.6.5 IBM Recent Development
11.7 Crowdin
11.7.1 Crowdin Company Details
11.7.2 Crowdin Business Overview
11.7.3 Crowdin Large Language Models (LLMs) Software Introduction
11.7.4 Crowdin Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.7.5 Crowdin Recent Development
11.8 Anthropic
11.8.1 Anthropic Company Details
11.8.2 Anthropic Business Overview
11.8.3 Anthropic Large Language Models (LLMs) Software Introduction
11.8.4 Anthropic Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.8.5 Anthropic Recent Development
11.9 Stability AI
11.9.1 Stability AI Company Details
11.9.2 Stability AI Business Overview
11.9.3 Stability AI Large Language Models (LLMs) Software Introduction
11.9.4 Stability AI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.9.5 Stability AI Recent Development
11.10 Databricks
11.10.1 Databricks Company Details
11.10.2 Databricks Business Overview
11.10.3 Databricks Large Language Models (LLMs) Software Introduction
11.10.4 Databricks Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.10.5 Databricks Recent Development
11.11 SambaNova
11.11.1 SambaNova Company Details
11.11.2 SambaNova Business Overview
11.11.3 SambaNova Large Language Models (LLMs) Software Introduction
11.11.4 SambaNova Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.11.5 SambaNova Recent Development
11.12 sensori.ai
11.12.1 sensori.ai Company Details
11.12.2 sensori.ai Business Overview
11.12.3 sensori.ai Large Language Models (LLMs) Software Introduction
11.12.4 sensori.ai Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.12.5 sensori.ai Recent Development
11.13 Vinta Software
11.13.1 Vinta Software Company Details
11.13.2 Vinta Software Business Overview
11.13.3 Vinta Software Large Language Models (LLMs) Software Introduction
11.13.4 Vinta Software Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.13.5 Vinta Software Recent Development
11.14 Mistral AI
11.14.1 Mistral AI Company Details
11.14.2 Mistral AI Business Overview
11.14.3 Mistral AI Large Language Models (LLMs) Software Introduction
11.14.4 Mistral AI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.14.5 Mistral AI Recent Development
11.15 Allganize
11.15.1 Allganize Company Details
11.15.2 Allganize Business Overview
11.15.3 Allganize Large Language Models (LLMs) Software Introduction
11.15.4 Allganize Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.15.5 Allganize Recent Development
11.16 Cerebras
11.16.1 Cerebras Company Details
11.16.2 Cerebras Business Overview
11.16.3 Cerebras Large Language Models (LLMs) Software Introduction
11.16.4 Cerebras Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.16.5 Cerebras Recent Development
11.17 Glean
11.17.1 Glean Company Details
11.17.2 Glean Business Overview
11.17.3 Glean Large Language Models (LLMs) Software Introduction
11.17.4 Glean Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.17.5 Glean Recent Development
11.18 Hyperleap AI
11.18.1 Hyperleap AI Company Details
11.18.2 Hyperleap AI Business Overview
11.18.3 Hyperleap AI Large Language Models (LLMs) Software Introduction
11.18.4 Hyperleap AI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.18.5 Hyperleap AI Recent Development
11.19 Writer
11.19.1 Writer Company Details
11.19.2 Writer Business Overview
11.19.3 Writer Large Language Models (LLMs) Software Introduction
11.19.4 Writer Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.19.5 Writer Recent Development
11.20 RagaAI
11.20.1 RagaAI Company Details
11.20.2 RagaAI Business Overview
11.20.3 RagaAI Large Language Models (LLMs) Software Introduction
11.20.4 RagaAI Revenue in Large Language Models (LLMs) Software Business (2019-2024)
11.20.5 RagaAI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Gemini
OpenAI
Microsoft Copilot
NVIDIA
Tune AI
IBM
Crowdin
Anthropic
Stability AI
Databricks
SambaNova
sensori.ai
Vinta Software
Mistral AI
Allganize
Cerebras
Glean
Hyperleap AI
Writer
RagaAI
听
听
*If Applicable.
