The large language model (LLM) market size has grown exponentially in recent years. It will grow from $3.06 billion in 2023 to $3.92 billion in 2024 at a compound annual growth rate (CAGR) of 28%. The growth observed during the historic period can be attributed to the expansion of natural language processing (NLP) applications, the increase in digital content creation, the emergence of conversational AI, a heightened emphasis on personalization, and the demand for intelligent automation.
The large language model (LLM) market size is expected to see exponential growth in the next few years. It will grow to $10.57 billion in 2028 at a compound annual growth rate (CAGR) of 28.1%. The anticipated growth in the forecast period can be attributed to the widespread adoption of artificial intelligence, the expansion of Internet of Things (IoT) devices, the increasing availability of cloud computing services, the growing demand for cybersecurity solutions, and the emergence of blockchain technology. Major trends expected in the forecast period include advancements in artificial intelligence (AI) and machine learning, the rising popularity of low-code and no-code platforms, a focus on functional programming languages, technological advancements, and strategic collaborations.
The increasing demand for chatbots and virtual assistants is poised to drive the expansion of the large language model (LLM) market in the foreseeable future. Chatbots and virtual assistants, AI-driven software programs designed for human interaction, are distinct in their functionalities, purposes, and levels of user engagement. Their growing adoption is attributed to their capacity to streamline processes, enhance user experiences, and foster business growth in the digital realm. Large language models (LLMs) have revolutionized chatbot capabilities, empowering them to understand and generate human-like text with exceptional accuracy, thanks to extensive training on vast amounts of unlabeled data. For example, in May 2024, WorldMetrics.org, a US-based platform providing current global data and trends, reported that businesses saved over $8 billion annually in 2022 through chatbot usage, with the healthcare and banking sectors benefiting the most, and the global banking industry projected to save $7.3 billion by 2023 due to chatbot adoption. Moreover, it is anticipated that chatbots and artificial intelligence (AI) will handle 95% of customer interactions by 2025. Thus, the increasing demand for chatbots and virtual assistants is poised to drive the growth of the large language model (LLM) market.
Leading companies in the large language model market are focused on developing innovative solutions, such as open and enterprise-grade LLMs, to cater to customers with advanced functionalities. The open and enterprise-grade LLM is a large language model optimized for complex enterprise tasks and released under a license for unrestricted usage. For instance, in April 2024, Snowflake, a US-based cloud-based data platform company, unveiled Snowflake Arctic, a cutting-edge large language model (LLM) engineered to be the most open and enterprise-grade LLM on the market. Arctic boasts a unique Mixture-of-Experts (MoE) architecture, delivering superior intelligence with exceptional scalability and efficiency. Its standout feature lies in its commitment to openness, as Snowflake has made Arctic's weights accessible under an Apache 2 license, allowing for unrestricted personal, research, and commercial utilization. Additionally, they are sharing the research insights behind its development, setting a new standard for transparency and collaboration in enterprise AI technology.
In January 2024, Protect AI, a US-based cybersecurity platform provider, acquired Laiyer AI for an undisclosed sum. This acquisition aims to bolster Protect AI's capabilities in the Large Language Model (LLM) market by integrating Laiyer AI's innovative technologies into its advanced AI-driven solutions. Laiyer AI is a US-based provider of large language models and model-training software.
Major companies operating in the large language model (LLM) market are Apple Inc., Google LLC, Microsoft Corporation, Alibaba Group, Meta Platforms Inc., Huawei Technologies Co. Ltd., Tencent Holdings Ltd., Amazon Web Services, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce.com Inc., Baidu, Inc., NIIT Ltd., OpenAI, Mozilla Foundation, The Apache Software Foundation, Nokia Bell Labs, JetBrains s.r.o., Linux Foundation, edX Inc., Udacity Inc., Julia Computing Inc., Zig Software Foundation, Haxe Foundation.
North America was the largest region in the large language model (LLM) market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the large language model (LLM) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the large language model (LLM) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
A large language model (LLM) is an artificial intelligence algorithm that utilizes deep learning techniques and neural networks containing numerous parameters to analyze and comprehend human language or text. Due to their ability to generate, interpret, and modify human language, they are employed for various natural language processing (NLP) tasks and applications.
The primary model sizes of large language models (LLMs) include those with fewer than 100 billion parameters, between 100 billion and 500 billion parameters, above 500 billion parameters, and other configurations. Large language models with parameter sizes below 100 billion cater to applications that require moderate computational resources and efficient processing and understanding of language data. These models encompass various architectures such as autoregressive language models, autoencoding language models, hybrid language models, and other configurations, which are deployed through various modes including cloud and on-premises. These models find applications across diverse industries including healthcare, finance, retail and e-commerce, media and entertainment, and others.
The large language model (LLM) market research report is one of a series of new reports that provides large language model (LLM) market statistics, including large language model (LLM) industry global market size, regional shares, competitors with a large language model (LLM) market share, detailed large language model (LLM) market segments, market trends, and opportunities, and any further data you may need to thrive in the large language model (LLM) industry. This large language model (LLM) research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The large language model (LLM) market consists of revenues earned by entities by providing services such as natural language processing and chatbots, content generation and automation, language translation and localization, search and recommendation, and sentiment analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The large language model (LLM) market also includes sales of language translation tools, content generation platforms, code generation tools, and email response assistants. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The large language model (LLM) market size is expected to see exponential growth in the next few years. It will grow to $10.57 billion in 2028 at a compound annual growth rate (CAGR) of 28.1%. The anticipated growth in the forecast period can be attributed to the widespread adoption of artificial intelligence, the expansion of Internet of Things (IoT) devices, the increasing availability of cloud computing services, the growing demand for cybersecurity solutions, and the emergence of blockchain technology. Major trends expected in the forecast period include advancements in artificial intelligence (AI) and machine learning, the rising popularity of low-code and no-code platforms, a focus on functional programming languages, technological advancements, and strategic collaborations.
The increasing demand for chatbots and virtual assistants is poised to drive the expansion of the large language model (LLM) market in the foreseeable future. Chatbots and virtual assistants, AI-driven software programs designed for human interaction, are distinct in their functionalities, purposes, and levels of user engagement. Their growing adoption is attributed to their capacity to streamline processes, enhance user experiences, and foster business growth in the digital realm. Large language models (LLMs) have revolutionized chatbot capabilities, empowering them to understand and generate human-like text with exceptional accuracy, thanks to extensive training on vast amounts of unlabeled data. For example, in May 2024, WorldMetrics.org, a US-based platform providing current global data and trends, reported that businesses saved over $8 billion annually in 2022 through chatbot usage, with the healthcare and banking sectors benefiting the most, and the global banking industry projected to save $7.3 billion by 2023 due to chatbot adoption. Moreover, it is anticipated that chatbots and artificial intelligence (AI) will handle 95% of customer interactions by 2025. Thus, the increasing demand for chatbots and virtual assistants is poised to drive the growth of the large language model (LLM) market.
Leading companies in the large language model market are focused on developing innovative solutions, such as open and enterprise-grade LLMs, to cater to customers with advanced functionalities. The open and enterprise-grade LLM is a large language model optimized for complex enterprise tasks and released under a license for unrestricted usage. For instance, in April 2024, Snowflake, a US-based cloud-based data platform company, unveiled Snowflake Arctic, a cutting-edge large language model (LLM) engineered to be the most open and enterprise-grade LLM on the market. Arctic boasts a unique Mixture-of-Experts (MoE) architecture, delivering superior intelligence with exceptional scalability and efficiency. Its standout feature lies in its commitment to openness, as Snowflake has made Arctic's weights accessible under an Apache 2 license, allowing for unrestricted personal, research, and commercial utilization. Additionally, they are sharing the research insights behind its development, setting a new standard for transparency and collaboration in enterprise AI technology.
In January 2024, Protect AI, a US-based cybersecurity platform provider, acquired Laiyer AI for an undisclosed sum. This acquisition aims to bolster Protect AI's capabilities in the Large Language Model (LLM) market by integrating Laiyer AI's innovative technologies into its advanced AI-driven solutions. Laiyer AI is a US-based provider of large language models and model-training software.
Major companies operating in the large language model (LLM) market are Apple Inc., Google LLC, Microsoft Corporation, Alibaba Group, Meta Platforms Inc., Huawei Technologies Co. Ltd., Tencent Holdings Ltd., Amazon Web Services, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce.com Inc., Baidu, Inc., NIIT Ltd., OpenAI, Mozilla Foundation, The Apache Software Foundation, Nokia Bell Labs, JetBrains s.r.o., Linux Foundation, edX Inc., Udacity Inc., Julia Computing Inc., Zig Software Foundation, Haxe Foundation.
North America was the largest region in the large language model (LLM) market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the large language model (LLM) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the large language model (LLM) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
A large language model (LLM) is an artificial intelligence algorithm that utilizes deep learning techniques and neural networks containing numerous parameters to analyze and comprehend human language or text. Due to their ability to generate, interpret, and modify human language, they are employed for various natural language processing (NLP) tasks and applications.
The primary model sizes of large language models (LLMs) include those with fewer than 100 billion parameters, between 100 billion and 500 billion parameters, above 500 billion parameters, and other configurations. Large language models with parameter sizes below 100 billion cater to applications that require moderate computational resources and efficient processing and understanding of language data. These models encompass various architectures such as autoregressive language models, autoencoding language models, hybrid language models, and other configurations, which are deployed through various modes including cloud and on-premises. These models find applications across diverse industries including healthcare, finance, retail and e-commerce, media and entertainment, and others.
The large language model (LLM) market research report is one of a series of new reports that provides large language model (LLM) market statistics, including large language model (LLM) industry global market size, regional shares, competitors with a large language model (LLM) market share, detailed large language model (LLM) market segments, market trends, and opportunities, and any further data you may need to thrive in the large language model (LLM) industry. This large language model (LLM) research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The large language model (LLM) market consists of revenues earned by entities by providing services such as natural language processing and chatbots, content generation and automation, language translation and localization, search and recommendation, and sentiment analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The large language model (LLM) market also includes sales of language translation tools, content generation platforms, code generation tools, and email response assistants. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Large Language Model (LLM) Market Characteristics3. Large Language Model (LLM) Market Trends and Strategies32. Global Large Language Model (LLM) Market Competitive Benchmarking33. Global Large Language Model (LLM) Market Competitive Dashboard34. Key Mergers and Acquisitions in the Large Language Model (LLM) Market
4. Large Language Model (LLM) Market - Macro Economic Scenario
5. Global Large Language Model (LLM) Market Size and Growth
6. Large Language Model (LLM) Market Segmentation
100 Billion to 500 Billion Parameters
7. Large Language Model (LLM) Market Regional and Country Analysis
8. Asia-Pacific Large Language Model (LLM) Market
9. China Large Language Model (LLM) Market
10. India Large Language Model (LLM) Market
11. Japan Large Language Model (LLM) Market
12. Australia Large Language Model (LLM) Market
13. Indonesia Large Language Model (LLM) Market
14. South Korea Large Language Model (LLM) Market
15. Western Europe Large Language Model (LLM) Market
16. UK Large Language Model (LLM) Market
17. Germany Large Language Model (LLM) Market
18. France Large Language Model (LLM) Market
19. Italy Large Language Model (LLM) Market
20. Spain Large Language Model (LLM) Market
21. Eastern Europe Large Language Model (LLM) Market
22. Russia Large Language Model (LLM) Market
23. North America Large Language Model (LLM) Market
24. USA Large Language Model (LLM) Market
25. Canada Large Language Model (LLM) Market
26. South America Large Language Model (LLM) Market
27. Brazil Large Language Model (LLM) Market
28. Middle East Large Language Model (LLM) Market
29. Africa Large Language Model (LLM) Market
30. Large Language Model (LLM) Market Competitive Landscape and Company Profiles
31. Large Language Model (LLM) Market Other Major and Innovative Companies
35. Large Language Model (LLM) Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
Large Language Model (LLM) Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on large language model (LLM) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
- Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
- Assess the Russia - Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
- Measure the impact of high global inflation on market growth.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for large language model (LLM)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The large language model (LLM) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Model Size: Below 100 Billion Parameters; 100 Billion To 500 Billion Parameters; Above 500 Billion Parameters; Other Parameters2) By Architecture: Autoregressive Language Models; Autoencoding Language Models; Hybrid Language Models; Other Architectures
3) By Deployment: Cloud; On-premises
4) By Industry: Healthcare; Finance; Retail And E-commerce; Media And Entertainment; Other Industries
Key Companies Mentioned: Apple Inc.; Google LLC; Microsoft Corporation; Alibaba Group; Meta Platforms Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Apple Inc.
- Google LLC
- Microsoft Corporation
- Alibaba Group
- Meta Platforms Inc.
- Huawei Technologies Co. Ltd.
- Tencent Holdings Ltd.
- Amazon Web Services
- Intel Corporation
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- Salesforce.com Inc.
- Baidu, Inc.
- NIIT Ltd.
- OpenAI
- Mozilla Foundation
- The Apache Software Foundation
- Nokia Bell Labs
- JetBrains s.r.o.
- Linux Foundation
- edX Inc.
- Udacity Inc.
- Julia Computing Inc.
- Zig Software Foundation
- Haxe Foundation
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 175 |
| Published | August 2024 |
| Forecast Period | 2024 - 2028 |
| Estimated Market Value ( USD | $ 3.92 Billion |
| Forecasted Market Value ( USD | $ 10.57 Billion |
| Compound Annual Growth Rate | 28.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |
