A quick peek into the report
Table of Contents
1.1 Trends: Current and Future Impact Assessment
1.1.1 Continued Push Towards Larger and More Capable Models
1.1.2 Increasing Integration into Business Applications
1.2 Supply Chain Overview
1.2.1 Value Chain Analysis
1.2.2 Market Map
1.3 R&D Review
1.3.1 Patent Filing Trend by Country, by Company
1.4 Regulatory Landscape
1.5 Stakeholder Analysis
1.5.1 Use Case
1.5.2 End User and Buying Criteria
1.6 Impact Analysis for Key Global Events
1.7 Market Dynamics Overview
1.7.1 Market Drivers
1.7.2 Market Restraints
1.7.3 Market Opportunities
2.1 Application Segmentation
2.2 Application Summary
2.3 Global Large Language Model Market by Application
2.3.1 Information Retrieval
2.3.2 Language Translation and Localization
2.3.3 Content Generation and Curation
2.3.4 Code Generation
2.3.5 Customer Service Automation
2.3.6 Data Analysis
2.3.7 Others
3.1 Product Segmentation
3.2 Product Summary
3.3 Global Large Language Model Market by Architecture
3.3.1 Autoregressive Language Models
3.3.2 Autoencoding Language Models
3.3.3 Hybrid Language Models
3.3.4 Others
3.4 Global Large Language Model Market by Model Size
3.4.1 Below 100 Billion Parameters
3.4.2 100 Billion to 500 Billion Parameters
3.4.3 Above 500 Billion Parameters
3.4.4 Others
4.1 Global Large Language Model Market - by Region
4.2 North America
4.2.1 Regional Overview
4.2.2 Driving Factors for Market Growth
4.2.3 Factors Challenging the Market
4.2.4 Application
4.2.5 Product
4.2.6 U.S.
4.2.6.1 Market by Application
4.2.6.2 Market by Product
4.2.7 Canada
4.2.7.1 Market by Application
4.2.7.2 Market by Product
4.3 Europe
4.3.1 Regional Overview
4.3.2 Driving Factors for Market Growth
4.3.3 Factors Challenging the Market
4.3.4 Application
4.3.5 Product
4.3.6 Germany
4.3.6.1 Market by Application
4.3.6.2 Market by Product
4.3.7 France
4.3.7.1 Market by Application
4.3.7.2 Market by Product
4.3.8 U.K.
4.3.8.1 Market by Application
4.3.8.2 Market by Product
4.3.9 Rest-of-Europe
4.3.9.1 Market by Application
4.3.9.2 Market by Product
4.4 Asia-Pacific
4.4.1 Regional Overview
4.4.2 Driving Factors for Market Growth
4.4.3 Factors Challenging the Market
4.4.4 Application
4.4.5 Product
4.4.6 China
4.4.6.1 Market by Application
4.4.6.2 Market by Product
4.4.7 Japan
4.4.7.1 Market by Application
4.4.7.2 Market by Product
4.4.8 India
4.4.8.1 Market by Application
4.4.8.2 Market by Product
4.4.9 South Korea
4.4.9.1 Market by Application
4.4.9.2 Market by Product
4.4.10 Rest-of-Asia-Pacific
4.4.10.1 Market by Application
4.4.10.2 Market by Product
4.5 Rest-of-the-World
4.5.1 Regional Overview
4.5.2 Driving Factors for Market Growth
4.5.3 Factors Challenging the Market
4.5.4 Application
4.5.5 Product
4.5.6 South America
4.5.6.1 Market by Application
4.5.6.2 Market by Product
4.5.7 Middle East and Africa
4.5.7.1 Market by Application
4.5.7.2 Market by Product
5.1 Next Frontiers
5.2 Geographic Assessment
5.2.1 OpenAI
5.2.1.1 Overview
5.2.1.2 Top Products/Product Portfolio
5.2.1.3 Top Competitors
5.2.1.4 Target Customers
5.2.1.5 Key Personnel
5.2.1.6 Analyst View
5.2.1.7 Market Share
5.2.2 Google
5.2.2.1 Overview
5.2.2.2 Top Products/Product Portfolio
5.2.2.3 Top Competitors
5.2.2.4 Target Customers
5.2.2.5 Key Personnel
5.2.2.6 Analyst View
5.2.2.7 Market Share
5.2.3 Meta
5.2.3.1 Overview
5.2.3.2 Top Products/Product Portfolio
5.2.3.3 Top Competitors
5.2.3.4 Target Customers
5.2.3.5 Key Personnel
5.2.3.6 Analyst View
5.2.3.7 Market Share
5.2.4 AI21 Labs
5.2.4.1 Overview
5.2.4.2 Top Products/Product Portfolio
5.2.4.3 Top Competitors
5.2.4.4 Target Customers
5.2.4.5 Key Personnel
5.2.4.6 Analyst View
5.2.4.7 Market Share
5.2.5 Cohere
5.2.5.1 Overview
5.2.5.2 Top Products/Product Portfolio
5.2.5.3 Top Competitors
5.2.5.4 Target Customers
5.2.5.5 Key Personnel
5.2.5.6 Analyst View
5.2.5.7 Market Share
5.2.6 Anthropic PBC
5.2.6.1 Overview
5.2.6.2 Top Products/Product Portfolio
5.2.6.3 Top Competitors
5.2.6.4 Target Customers
5.2.6.5 Key Personnel
5.2.6.6 Analyst View
5.2.6.7 Market Share
5.2.7 Microsoft Corporation
5.2.7.1 Overview
5.2.7.2 Top Products/Product Portfolio
5.2.7.3 Top Competitors
5.2.7.4 Target Customers
5.2.7.5 Key Personnel
5.2.7.6 Analyst View
5.2.7.7 Market Share
5.2.8 Huawei Technologies Co., Ltd.
5.2.8.1 Overview
5.2.8.2 Top Products/Product Portfolio
5.2.8.3 Top Competitors
5.2.8.4 Target Customers
5.2.8.5 Key Personnel
5.2.8.6 Analyst View
5.2.8.7 Market Share
5.2.9 Naver Corporation
5.2.9.1 Overview
5.2.9.2 Top Products/Product Portfolio
5.2.9.3 Top Competitors
5.2.9.4 Target Customers
5.2.9.5 Key Personnel
5.2.9.6 Analyst View
5.2.9.7 Market Share
5.2.10 Tencent
5.2.10.1 Overview
5.2.10.2 Top Products/Product Portfolio
5.2.10.3 Top Competitors
5.2.10.4 Target Customers
5.2.10.5 Key Personnel
5.2.10.6 Analyst View
5.2.10.7 Market Share
5.2.11 Yandex
5.2.11.1 Overview
5.2.11.2 Top Products/Product Portfolio
5.2.11.3 Top Competitors
5.2.11.4 Target Customers
5.2.11.5 Key Personnel
5.2.11.6 Analyst View
5.2.11.7 Market Share
5.2.12 NVIDIA Corporation
5.2.12.1 Overview
5.2.12.2 Top Products/Product Portfolio
5.2.12.3 Top Competitors
5.2.12.4 Target Customers
5.2.12.5 Key Personnel
5.2.12.6 Analyst View
5.2.12.7 Market Share
5.2.13 Baidu Online Network Technology Co., Ltd.
5.2.13.1 Overview
5.2.13.2 Top Products/Product Portfolio
5.2.13.3 Top Competitors
5.2.13.4 Target Customers
5.2.13.5 Key Personnel
5.2.13.6 Analyst View
5.2.13.7 Market Share
5.2.14 Hewlett Packard Enterprise Development LP
5.2.14.1 Overview
5.2.14.2 Top Products/Product Portfolio
5.2.14.3 Top Competitors
5.2.14.4 Target Customers
5.2.14.5 Key Personnel
5.2.14.6 Analyst View
5.2.14.7 Market Share
5.2.15 Alibaba Group Holding Limited
5.2.15.1 Overview
5.2.15.2 Top Products/Product Portfolio
5.2.15.3 Top Competitors
5.2.15.4 Target Customers
5.2.15.5 Key Personnel
5.2.15.6 Analyst View
5.2.15.7 Market Share
5.2.16 Others
Large Language Model (LLM) Market Report Coverage
|
Large Language Model (LLM) Market |
|||
|
Base Year |
2023 |
Market Size in 2024 |
$6.4 Billion |
|
Forecast Period |
2024-2034 |
Value Projection and Estimation by 2034 |
$85.6 Billion |
|
CAGR During Forecast Period |
29.61% |
|
|
Key Market Players and Competition Synopsis
The companies that are profiled in the global large language model market have been selected based on input gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.
Some of the prominent companies in this market are:
• OpenAI
• Google
• Meta
• AI21 Labs
• Cohere
• Anthropic PBC
• Microsoft Corporation
• Huawei Technologies Co., Ltd.
• Naver Corporation
• Tencent
• Yandex
• NVIDIA Corporation
• Baidu Online Network Technology Co., Ltd.
• Hewlett Packard Enterprise Development LP
• Alibaba Group Holding Limited
Key Questions Answered in this Report:
• What are the main factors driving the demand for large language model market?
• What are the major patents filed by the companies active in the global large language model market?
• Who are the key players in the global large language model market, and what are their respective market shares?
• What partnerships or collaborations are prominent among stakeholders in the global large language model market?
• What are the strategies adopted by the key companies to gain a competitive edge in large language model industry?
• What is the futuristic outlook for the large language model market in terms of growth potential?
• What is the current estimation of the global large language model market, and what growth trajectory is projected from 2024to 2034?
• Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
• What could be the impact of growing end-use industries in the global large language model market?
• Which regions demonstrate the highest adoption rates for global large language model market, and what factors contribute to their leadership?
Introduction to the Large Language Model (LLM) Market
The global large language model (LLM) market is experiencing a significant surge, propelled by a variety of key factors and dynamics. Considering the optimistic scenario, the market is valued at $6.4 billion in 2024 and is expected to grow at a CAGR of 29.61% to reach $85.6 billion by 2034. Central to this growth is the increasing demand for enhanced natural language processing capabilities across various sectors. LLMs are pivotal in analyzing, understanding, and generating human-like text, offering innovative solutions for content creation, customer service, and language translation. This demand is further magnified by the expanding digital content ecosystem and the need for efficient data processing and analysis tools.
Technological advancements play a significant role in market expansion, especially in areas such as machine learning algorithms, computational power, and data analytics. The integration of LLMs with cutting-edge technologies enables more accurate and context-aware language understanding, driving the adoption of LLMs in applications ranging from virtual assistants to content-generation platforms. The growth of the Internet of Things (IoT) and the proliferation of connected devices enhance the utility of LLMs, facilitating seamless human-machine interactions.
Moreover, regulatory frameworks and ethical guidelines focusing on data privacy, security, and responsible AI use are influencing market dynamics. These regulations compel organizations to deploy LLMs that comply with ethical standards, ensuring transparency and fairness in automated decision-making processes. The transition toward digital transformation across industries, coupled with the strategic implementation of LLMs for competitive advantage, underscores the market's potential for robust growth. As industries continue to leverage digital data for operational efficiency and innovation, the global LLM market is poised for sustained expansion, driven by the necessity to improve and personalize digital interactions.
Market Segmentation
Segmentation 1: by Application
• Information Retrieval
• Language Translation and Localization
• Content Generation and Curation
• Code Generation
• Customer Service Automation
• Data Analysis
• Others
Segmentation 2: by Architecture
• Autoregressive Language Models
• Autoencoding Language Models
• Hybrid Language Models
• Others
Segmentation 3: by Model Size
• Below 100 Billion Parameters
• 100 Billion to 500 Billion Parameters
• Above 500 Billion Parameters
• Others
Segmentation 4: by Region
• North America
• Europe
• Asia-Pacific
• Rest-of-the-World
Large Language Model (LLM) Market - A Global and Regional Analysis
Focus on Application, Architecture, Model Size, and Region - Analysis and Forecast, 2024-2034