Large Language Model (LLM) Market

Report Code TC 8977
Published in Mar, 2024, By MarketsandMarkets™
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Large Language Model (LLM) Market by Type (Domain-specific (Zero-shot, One-shot, Few-shot), General-purpose, Multilingual), Model Architecture (Autoregressive Language Models, Autoencoding Language Models, Hybrid Language Models) - Global Forecast to 2030

Overview

The global Large Language Model (LLM) Market is currently witnessing robust growth, with estimates indicating a substantial increase in market size. Projections suggest a notable expansion in market value, from USD 6.4 billion in 2024 to USD 36.1 billion by 2030, reflecting a substantial CAGR of 33.2% over the forecast period. The staggering growth rate is due to the increasing demand for advanced natural language processing (NLP) capabilities across various industries. LLMs have demonstrated remarkable prowess in tasks such as text generation, sentiment analysis, language translation, and content summarization, making them invaluable tools for enhancing customer experiences, automating content creation, and driving data-driven decision-making processes. Additionally, the advent of cloud computing and the availability of powerful computing resources have facilitated the training and deployment of these complex models on a larger scale. As businesses strive to leverage AI and machine learning technologies to gain a competitive edge, the adoption of large language models is surging, fueling their rapid market growth.

Attractive Opportunities in the Large Language Model (LLM) Market

North America

North America is set to become the largest regional market, buoyed by a strong presence of technology giants and start-ups actively investing in and deploying large language models for various applications, such as natural language processing, content generation, and conversational AI. Additionally, the increasing adoption of cloud computing and the availability of powerful computing resources have facilitated the training and deployment of these complex models in the region.

Transformer architectures, particularly exemplified by models such as GPT-3, have significantly enhanced natural language understanding and generation capabilities.

Partnerships, collaborations, and product launches would offer lucrative opportunities for market players in the next five years.

Cloud API access is democratizing LLM deployment and utilization. Through cloud-based services, users can seamlessly access LLM capabilities without the need for substantial computational resources or intricate model setup. Enterprises are integrating powerful language processing functionalities into their applications with ease.

North America’s robust infrastructure, skilled workforce, and supportive regulatory environment have created a fertile ground for the development and commercialization of LLMs. As businesses across industries recognize the potential of these models to enhance operational efficiency, customer experience, and data-driven decision-making, the demand for LLMs is surging in North America.

Global Large Language Model (LLM) Market Dynamics

Driver: The rising demand for automated content creation and curation

The rising demand for automated content creation and curation is propelling the growth of the large language model (LLM) market. LLMs offer a compelling solution by leveraging their natural language generation capabilities to create human-like text at an unprecedented scale. These models can generate a wide range of content, from marketing materials and product descriptions to news articles and creative stories, tailored to specific audiences and contexts. LLMs excel at content curation and summarization, enabling businesses to distill insights from massive data sources efficiently. This capability is invaluable for industries such as research, journalism, and knowledge management, where sifting through and synthesizing information is crucial.

Restraint: High costs of large language model training and inference optimization

The high cost of training and inference associated with large language models (LLMs) poses a significant restraint on their widespread adoption and market growth. LLMs require massive computational resources, with some of the largest models like GPT-3 trained on thousands of high-performance GPUs, incurring costs running into millions of dollars. Additionally, LLMs demand vast amounts of diverse and high-quality training data, which can be resource-intensive and expensive to acquire and curate. It is estimated that the cost of acquiring and processing the training data for GPT-3 could range from USD 5 million to USD 12 million. Furthermore, the energy consumption during training and inference processes is extremely high, leading to substantial operational costs.

 

Opportunity: Pressing demand for LLMs in knowledge discovery and management

The increasing adoption of LLMs in knowledge discovery and management presents a significant opportunity for the LLM market. As organizations generate vast amounts of data, the need to efficiently extract insights and manage information becomes crucial. LLMs offer advanced capabilities in natural language processing, allowing for the automation of tasks such as data categorization, sentiment analysis, and trend identification. For example, in the healthcare industry, LLMs can assist in analyzing medical literature and patient records to identify emerging trends in treatment efficacy or disease management. In financial institutions, LLMs can be utilized to sift through extensive regulatory documents and market reports for compliance purposes and investment decision-making.

Challenge: Computational inefficiency due to high memory requirements

High memory requirements in LLMs lead to computational inefficiency, posing a significant challenge to market growth. As these models become more complex and sophisticated, they demand larger memory capacities to store the vast number of parameters and data representations. Consequently, deploying and running LLMs becomes resource-intensive, requiring robust hardware infrastructure and substantial computational resources. This poses bottlenecks for smaller organizations or those with limited budgets, as they may struggle to afford the necessary hardware upgrades or cloud computing services. High memory requirements can also lead to longer processing times and slower model training, hindering real-time applications and responsiveness.

Global Large Language Model (LLM) Market Ecosystem Analysis

Large Language Model Market Ecosystem

 

By offering, domain-specific LLMs to register the fastest growth rate between 2024–2030

Domain-specific LLMs are experiencing rapid growth in the market due to their specialized focus and ability to deliver targeted solutions across various industries. These models, trained on data specific to particular domains such as healthcare, finance, or law, offer superior performance compared to generic LLMs. Their tailored training enables them to understand the nuances of domain-specific language, resulting in more accurate and contextually relevant outputs. Domain-specific LLMs often require fewer resources and less data for fine-tuning, making them cost-effective and efficient business solutions. They excel in zero-shot, one-shot, and few-shot learning scenarios, allowing them to generalize knowledge and adapt quickly to new tasks with minimal training data.

By modality, text segment to capture the highest market share in 2024

Text modality is expected to dominate the LLM market due to its ubiquity and versatility across industries. With the exponential growth of textual data from sources like social media, emails, and documents, the demand for text focused LLMs has surged. These models excel in tasks like sentiment analysis, content generation, and document classification, catering to diverse business needs. Moreover, text-based LLMs offer scalability, interpretability, and cost-effectiveness, making them highly attractive to businesses.

Asia Pacific Region Holds the Largest Share of the Large Language Model (LLM) Market.

Asia Pacific is expected to stand out as the fastest-growing market in large language model market between 2024–2030. The region's diverse linguistic landscape necessitates advanced language processing technologies to cater to the multitude of languages spoken across countries. LLMs offer the capability to understand, generate, and translate content in multiple languages, making them highly relevant in this context. For example, Sarvam, an Indian AI startup, released its first LLM called OpenHathi-Hi-v0.1 in February 2024, which is built on Meta’s open-source Llama2-7B architecture and delivers performance on par with GPT-3.5 for Indic languages.

Recent Developments of Large Language Model (LLM) Market industry

  • In February 2024, Google made a notable LLM announcement, unveiling Gemini 1.5 with significant advancements. The search giant unveiled Gemini 1.5, an updated AI model that comes with long context understanding across different modalities. Google also launched Gemma, a new family of lightweight open-weight models. Starting with Gemma 2B and Gemma 7B, these new models were “inspired by Gemini” and are available for commercial and research usage.
  • In February 2024, Kyndryl announced an expanded partnership with Google Cloud to develop responsible generative AI solutions. The partnership will focus on coupling Google Cloud’s in-house AI capabilities, including Gemini, Google’s most advanced Large Language Model (LLM), with Kyndryl’s expertise and managed services to develop and deploy generative AI solutions for customers.

Key Market Players

KEY PLAYERS IN THE Large Language Model (LLM) Market INCLUDE

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2030
Base year considered 2023
Forecast period 2024–2030
Forecast units USD (Million)
Segments covered Offering, Architecture, Modality, Model Size, Application, End-user, and Region
Geographies covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China), FedML (US), DynamoFL (US), Together AI (US), Upstage (South Korea), Mistral AI (France), Adept (US), Neuralfinity (Germany), Mosaic ML (US), Stability AI (UK), LightOn (France), Cohere (Canada), Turing (US), Lightning AI (US), and WhyLabs (US)

Key Questions Addressed by the Report

What is a large language model?
A large language model (LLM) is a neural network-based artificial intelligence system trained on vast amounts of text data to understand and generate human-like language. It uses deep learning techniques to learn patterns and relationships, allowing coherent and contextually relevant text output. LLMs are called “large” as they consist of billions or trillions of parameters, enabling them to capture extensive knowledge and language patterns. This massive parameter count allows LLMs to perform a wide range of natural language processing tasks with human-like proficiency, such as text generation, summarization, translation, and question-answering.
What is the total CAGR expected to be recorded for the large language model market during 2024-2030?
The large language model market is expected to record a CAGR of 33.2% from 2024-2030.
Which are the major growth enablers catalyzing the large language model market?
The large language model market is being majorly driven by factors such as the growing availability of large datasets, advancements in deep learning algorithms, need for enhanced human-machine communication, and rising demand for automated content creation and curation.
Which are the top three applications prevailing in the large language model market?
Content generation and curation, customer service automation, and information retrieval are the top three applications of large language models due to their ability to generate human-like text, understand natural language queries, and efficiently process and summarize vast amounts of data.
Who are the key vendors in the large language model market?
Some major players in the large language model market include Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China), FedML (US), DynamoFL (US), Together AI (US), Upstage (South Korea), Mistral AI (France), Adept (US), Neuralfinity (Germany), Mosaic ML (US), Stability AI (UK), LightOn (France), Cohere (Canada), Turing (US), Lightning AI (US), and WhyLabs (US).

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
39
RESEARCH METHODOLOGY
44
EXECUTIVE SUMMARY
56
PREMIUM INSIGHTS
64
MARKET OVERVIEW AND INDUSTRY TRENDS
67
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Growth in availability of large datasets
    - Advancements in deep learning algorithms
    - Need for enhanced human-machine communication
    - Rise in demand for automated content creation and curation
    RESTRAINTS
    - High cost of model training & inference optimization
    - Data biases and quality concerns
    - Lack of transparency in explainability and interpretability
    OPPORTUNITIES
    - Enhanced language translation and localization with use of LLMs
    - Emotion recognition and sentiment analysis using LLMs
    - Pressing demand for LLMs in knowledge discovery and management
    CHALLENGES
    - High inference latency
    - Computational inefficiency due to large memory requirements
    - Maintaining model performance and integrity
  • 5.3 EVOLUTION OF LARGE LANGUAGE MODEL MARKET
  • 5.4 LARGE LANGUAGE MODELS: SOFTWARE LAYERS
    EMBEDDING LAYER
    FEEDFORWARD LAYER
    RECURRENT LAYER
    ATTENTION LAYER
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS/MARKET MAP
    LARGE LANGUAGE MODEL SOFTWARE PROVIDERS
    - LLM API Providers
    - Vector Database Providers
    - LLM Framework Providers
    - Text-to-Speech Providers
    - LLM Monitoring Tools Providers
    LARGE LANGUAGE MODEL SERVICE PROVIDERS
    - Compute Platform Providers
    - Model Hubs
    - Fine Tuning/Custom Model Training Frameworks
    - Monitoring/Observability Platform Providers
    - Hosting Service Providers
    END USERS
    GOVERNMENT & REGULATORY BODIES
  • 5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.8 CASE STUDY ANALYSIS
    BFSI
    - Accelerated collection and analysis of investment information for Edger Finance with generative AI
    MEDIA & ENTERTAINMENT
    - Revolutionized decentralized digital world of media & entertainment industry for Ben Group
    HEALTHCARE & LIFE SCIENCES
    - Summer Health reimagined pediatric doctor’s visits with OpenAI
    IT/ITES
    - Oxide AI piloted IBM watsonx.ai to take on investment information overload in finance
    LAW FIRMS
    - Manz leveraged Deepset cloud to significantly reduce legal research efforts through semantic search
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Natural Language Processing (NLP)
    - Deep Learning
    - Transformer Architecture
    - Attention Mechanisms
    - Transfer Learning
    ADJACENT TECHNOLOGIES
    - Speech Recognition
    - Computer Vision
    - Reinforcement Learning
    - Knowledge Graphs
    COMPLEMENTARY TECHNOLOGIES
    - Quantum Computing
    - Explainable AI
    - Edge Computing
    - Blockchain
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS: LARGE LANGUAGE MODEL MARKET
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
    - Top patent owners in large language model market
  • 5.12 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE
    INDICATIVE PRICING ANALYSIS, BY OFFERING
  • 5.13 TRADE ANALYSIS
    EXPORT SCENARIO OF COMPUTER SOFTWARE
    IMPORT SCENARIO OF COMPUTER SOFTWARE
  • 5.14 KEY CONFERENCES & EVENTS
  • 5.15 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 TECHNOLOGY ROADMAP
  • 5.17 BUSINESS MODELS
    SOFTWARE VENDOR MODEL
    CLOUD API ACCESS MODEL
    CUSTOM TRAINING/FINE-TUNING MODEL
    MARKETPLACES/EXCHANGES MODEL
  • 5.18 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
    REVENUE SHIFT & NEW REVENUE POCKETS FOR LARGE LANGUAGE MODEL PROVIDERS
  • 5.19 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
LARGE LANGUAGE MODEL MARKET, BY OFFERING
127
  • 6.1 INTRODUCTION
    OFFERING: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 6.2 SOFTWARE, BY TYPE
    GENERAL PURPOSE LLMS
    - High versatility and rapid adaptability of general-purpose LLMs to spur widespread deployment across multiple use cases
    DOMAIN-SPECIFIC LLMS
    - Adoption of domain-specific LLMs to be driven by organizations' pressing needs for LLMs tailored to their industry
    - Zero-shot
    - One-shot
    - Few-shot
    MULTILINGUAL LLMS
    - Increasing globalization and drive for inclusivity to catalyze demand for seamless multilingual language processing capabilities
    TASK-SPECIFIC LLMS
    - Demand for high accuracy and precision in task-oriented language models for mission-critical applications to drive task-specific LLM growth
  • 6.3 SOFTWARE, BY SOURCE CODE
    OPEN-SOURCE LLMS
    - Availability of powerful open-source LLM models, combined with collaborative nature of open-source community, to drive adoption and growth of open-source LLMs
    CLOSED-SOURCE LLMS
    - Closed-source LLMs to be driven by need for customized, domain-specific AI solutions, as well as desire for exclusive access and proprietary advantages
  • 6.4 SOFTWARE, BY DEPLOYMENT MODE
    CLOUD
    - Increasing demand for scalable and easily accessible LLM APIs to drive growth of cloud-based LLMs
    ON-PREMISES
    - Pressing need from enterprises for stringent data privacy and handling data in sensitive domains to fuel growth of on-premises LLMs for localized deployment and control
  • 6.5 SERVICES
    CONSULTING
    - Growing demand for expert guidance on LLM adoption and implementation strategies to drive consulting services segment
    LLM DEVELOPMENT
    - LLM development services to be buoyed by increasing need for custom LLMs tailored to specific use cases and industries
    INTEGRATION
    - Necessity of seamlessly incorporating LLMs into existing software ecosystems and workflows to accentuate demand for integration services
    LLM FINE-TUNING
    - Domain-specific and task-specific LLM optimization set to expand LLM fine-tuning services market
    - Full fine-tuning
    - Retrieval-augmented Generation (RAG)
    - Adapter-based parameter-efficient tuning
    LLM-BACKED APP DEVELOPMENT
    - Adoption of LLM-backed app development services on the rise, attributed to growing popularity of LLM-powered applications across various sectors
    PROMPT ENGINEERING
    - Prompt engineering services slated for rapid growth owing to criticality of effective prompt design for optimal LLM performance
    SUPPORT & MAINTENANCE
    - Ongoing need for LLM model updates, monitoring, and long-term support to drive adoption of support & maintenance services
LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE
165
  • 7.1 INTRODUCTION
    ARCHITECTURE: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 7.2 AUTOREGRESSIVE LANGUAGE MODELS
    AUTOREGRESSIVE LANGUAGE MODELS TO CAPTURE COMPLEX LINGUISTIC PATTERNS AND DEPENDENCIES WITHIN GIVEN CONTEXT
    SINGLE-HEADED AUTOREGRESSIVE LANGUAGE MODELS
    MULTI-HEADED AUTOREGRESSIVE LANGUAGE MODELS
  • 7.3 AUTOENCODING LANGUAGE MODELS
    AELMS TO EXTEND TO FINE-TUNING DOWNSTREAM TASKS, LEADING TO WIDESPREAD ADOPTION IN INDUSTRY AND ACADEMIA
    VANILLA AUTOENCODING LANGUAGE MODELS
    OPTIMIZED AUTOENCODING LANGUAGE MODELS
  • 7.4 HYBRID LANGUAGE MODELS
    INTEGRATING AUTOREGRESSIVE AND AUTOENCODING COMPONENTS TO ENABLE THEM TO EXCEL IN TASKS REQUIRING CONTEXTUAL UNDERSTANDING AND GENERATIVE CAPABILITIES
    TEXT-TO-TEXT LANGUAGE MODELS
    PRETRAINING-FINETUNING MODELS
LARGE LANGUAGE MODEL MARKET, BY MODALITY
174
  • 8.1 INTRODUCTION
    MODALITY: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 8.2 TEXT
    LLMS TO LEVERAGE ADVANCED TECHNIQUES SUCH AS ATTENTION MECHANISMS AND TRANSFORMER ARCHITECTURES TO PROCESS AND GENERATE TEXT
  • 8.3 CODE
    LLMS WITH CODE UNDERSTANDING CAPABILITIES TO ASSIST IN TASKS SUCH AS SOFTWARE MAINTENANCE, REFACTORING, AND OPTIMIZATION
  • 8.4 IMAGE
    MULTIMODAL TRANSFORMERS AND FUSION MECHANISMS TO ALLOW LLMS TO INCORPORATE VISUAL INFORMATION ALONGSIDE TEXTUAL INPUTS
  • 8.5 VIDEO
    VIDEO MODALITY TO EMPOWER LLMS TO EXTRACT MEANINGFUL INSIGHTS FROM VIDEO CONTENT, INCLUDING OBJECT RECOGNITION, ACTIVITY DETECTION, AND SCENE UNDERSTANDING
LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE
181
  • 9.1 INTRODUCTION
    MODEL SIZE: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 9.2 BELOW 1 BILLION PARAMETERS
    MODELS BELOW 1 BILLION PARAMETERS TO BE IDEAL FOR APPLICATIONS IN ENVIRONMENTS WITH LIMITED COMPUTATIONAL CAPABILITIES
  • 9.3 1 BILLION TO 10 BILLION PARAMETERS
    MODELS BETWEEN 1 BILLION AND 10 BILLION PARAMETERS ADEPT FOR BROAD SPECTRUM OF NLP TASKS WITH MODERATE COMPUTATIONAL REQUIREMENTS
  • 9.4 10 BILLION TO 50 BILLION PARAMETERS
    10 BILLION TO 50 BILLION PARAMETERS MODELS TO HANDLE ADVANCED LANGUAGE UNDERSTANDING WITHOUT RESOURCE-INTENSIVE NATURE OF LARGER MODELS
  • 9.5 50 BILLION TO 100 BILLION PARAMETERS
    EXPANSION IN MODELS WITH 50 BILLION TO 100 BILLION PARAMETERS PROPELLED BY THEIR INCREASED CAPACITY FOR NUANCED LANGUAGE COMPREHENSION AND CONTEXT AWARENESS
  • 9.6 100 BILLION TO 200 BILLION PARAMETERS
    HEIGHTENED CAPABILITY TO UNDERSTAND COMPLEX LANGUAGE PATTERNS TO MAKE THESE MODEL SIZES SUITABLE FOR DEVELOPING DOMAIN-SPECIFIC LLMS
  • 9.7 200 BILLION TO 500 BILLION PARAMETERS
    THESE MODELS DEMONSTRATE ROBUST PERFORMANCE IN EXTENSIVE CONTEXT AWARENESS, SOPHISTICATED DIALOGUE SYSTEMS, AND ADVANCED CONTENT GENERATION
  • 9.8 ABOVE 500 BILLION PARAMETERS
    MODELS ABOVE 500 BILLION PARAMETERS TO PROVIDE UNPARALLELED PERFORMANCE AND EXCEPTIONALLY HIGH LEVEL OF CONTEXT COMPREHENSION AND GENERATION
LARGE LANGUAGE MODEL MARKET, BY APPLICATION
198
  • 10.1 INTRODUCTION
    APPLICATION: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 10.2 INFORMATION RETRIEVAL
    LLMS TO HELP UNDERSTAND SEMANTIC MEANING AND CONTEXT OF TEXT, ENABLING MORE ACCURATE AND RELEVANT INFORMATION RETRIEVAL
  • 10.3 LANGUAGE TRANSLATION & LOCALIZATION
    LLMS TO STREAMLINE LOCALIZATION PROCESS BY AUTOMATING VARIOUS TASKS, SUCH AS TRANSLATING WEBSITE CONTENT, PRODUCT DESCRIPTIONS, AND USER INTERFACES
    MULTILINGUAL TRANSLATION
    LOCALIZATION SERVICES
  • 10.4 CONTENT GENERATION & CURATION
    BUSINESSES AND CONTENT CREATORS TO STREAMLINE CONTENT WORKFLOWS, IMPROVE CONTENT QUALITY, AND DELIVER MORE PERSONALIZED EXPERIENCE
    AUTOMATED JOURNALISM AND ARTICLE WRITING
    CREATIVE WRITING
  • 10.5 CODE GENERATION
    LLMS TO FACILITATE CODE REFACTORING AND OPTIMIZATION BY ANALYZING EXISTING CODEBASES AND SUGGESTING IMPROVEMENTS OR ALTERNATIVE IMPLEMENTATIONS
  • 10.6 CUSTOMER SERVICE AUTOMATION
    INTEGRATING AUTOREGRESSIVE AND AUTOENCODING COMPONENTS TO ENABLE TO EXCEL IN TASKS REQUIRING CONTEXTUAL UNDERSTANDING AND GENERATIVE CAPABILITIES
    CHATBOTS AND VIRTUAL ASSISTANTS
    SALES AND MARKETING AUTOMATION
    PERSONALIZED RECOMMENDATION
  • 10.7 DATA ANALYSIS AND BI
    INTEGRATING LLMS TO AUTOMATE DATA CATEGORIZATION, ANOMALY DETECTION, AND PREDICTIVE ANALYTICS, ENABLING BUSINESSES TO GAIN DEEPER INSIGHTS
    SENTIMENT ANALYSIS
    BUSINESS REPORTING AND MARKET ANALYSIS
  • 10.8 OTHER APPLICATIONS
LARGE LANGUAGE MODEL MARKET, BY END USER
214
  • 11.1 INTRODUCTION
    END USER: LARGE LANGUAGE MODEL MARKET DRIVERS
  • 11.2 IT & ITES
    EXTENSIVE UTILIZATION OF LLMS IN SOFTWARE DEVELOPMENT PROCESSES AND CUSTOMER SERVICE
  • 11.3 HEALTHCARE & LIFE SCIENCES
    LEVERAGING LLMS FOR SENTIMENT ANALYSIS OF PATIENT FEEDBACK, PROCESS OF LITERATURE REVIEW, AND PARSING COMPLEX DATASETS
  • 11.4 LAW FIRMS
    NLP CAPABILITIES OF LLMS ENABLE LAW FIRMS TO EXTRACT INSIGHTS FROM VAST AMOUNTS OF LEGAL TEXTS
  • 11.5 BFSI
    LLMS HELP FINANCIAL INSTITUTIONS AUTOMATE ROUTINE TASKS SUCH AS CONTRACT ANALYSIS AND COMPLIANCE MONITORING
  • 11.6 MANUFACTURING
    OPTIMIZING SUPPLY CHAIN BY ANALYZING MARKET TRENDS, DEMAND FORECASTS, AND LOGISTICAL DATA
  • 11.7 EDUCATION
    DEMAND FOR ASSISTANCE IN GRADING ASSIGNMENTS, GENERATING QUIZZES, AND PROVIDING FEEDBACK IN EDUCATION
  • 11.8 RETAIL & ECOMMERCE
    NEED FOR RETAILERS TO DELIVER ENGAGING AND RESPONSIVE INTERACTIONS ACROSS MULTIPLE CHANNELS
  • 11.9 MEDIA & ENTERTAINMENT
    ENABLING MEDIA COMPANIES TO OPTIMIZE CONTENT FOR DIFFERENT PLATFORMS AND AUDIENCES
  • 11.10 OTHER END USERS
LARGE LANGUAGE MODEL MARKET, BY REGION
247
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    NORTH AMERICA: LARGE LANGUAGE MODEL MARKET DRIVERS
    NORTH AMERICA: RECESSION IMPACT
    US
    - Supportive regulatory environment and robust technological infrastructure
    CANADA
    - Leveraging AI-driven LLM technologies to address societal challenges and drive innovation across industries
  • 12.3 EUROPE
    EUROPE: LARGE LANGUAGE MODEL MARKET DRIVERS
    EUROPE: RECESSION IMPACT
    UK
    - Government support for AI development through initiatives such as AI Sector Deal, boosting investment in AI research
    GERMANY
    - Increasing interest in developing AI solutions tailored to German language and specific regional dialects
    FRANCE
    - Country’s combination of technological innovation, government initiatives, and thriving AI ecosystem
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET DRIVERS
    ASIA PACIFIC: RECESSION IMPACT
    CHINA
    - Integration of LLMs into various industries in China
    INDIA
    - Emerging tech industry and huge digital population
    JAPAN
    - Rich cultural heritage and technologically advanced society
    SOUTH KOREA
    - Homegrown startup achievements on Open LLM Leaderboard indicating growing presence of Korean companies in global AI landscape
    REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET DRIVERS
    MIDDLE EAST & AFRICA: RECESSION IMPACT
    GCC
    - Significant investments in AI technologies and adoption of Arabic-specific language models
    SOUTH AFRICA
    - Strategic geographical location of South Africa and status as regional economic hub
    TURKEY
    - Growth of Turkish economy led to greater demand for large language model services
    REST OF MIDDLE EAST & AFRICA
  • 12.6 LATIN AMERICA
    LATIN AMERICA: LARGE LANGUAGE MODEL MARKET DRIVERS
    LATIN AMERICA: RECESSION IMPACT
    BRAZIL
    - Economy driven by industries such as agriculture, manufacturing, and services to fuel need for advanced language technologies
    MEXICO
    - Government and digital transformation initiatives to fuel adoption of advanced AI technologies
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
315
  • 13.1 OVERVIEW
  • 13.2 KEY PLAYER STRATEGIES
  • 13.3 REVENUE ANALYSIS
  • 13.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 13.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY GENERAL-PURPOSE LLM
    - GPT-4 by OpenAI
    - Llama 2 by Meta
    - Claude 3 By Anthropic
    - Amazon Titan by Amazon
    - Gemini by Google
    PRODUCT COMPARATIVE ANALYSIS, BY DOMAIN-SPECIFIC LLM
    - Med-PaLM by Google
    - Amazon CodeWhisperer by Amazon
    - BloombergGPT by Bloomberg
    - FinGPT
    - BioBERTpt
    PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM
    - Neural Chat 7B by Intel
    - Falcon by Technology Innovation Institute
    - Bloom by BigScience
    - Xgen 7B 4K Base by Salesforce
    - Neox GPT by EleutherAI
    - Abacus Giraffe by Abacus AI
    - Baichuan 13B by Baichuan Intelligence
    - Open Llama by OpenLM
    - Vicuna-33B by Lmsys
    - Dolly 2.0 by Databricks
  • 13.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company Footprint
    - Region Footprint
    - Application Footprint
    - End-user Footprint
    - Modality Footprint
  • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking of Key Startups/SMEs
  • 13.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
349
  • 14.1 INTRODUCTION
  • 14.2 KEY PLAYERS
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    OPENAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ANTHROPIC
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    META
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HPE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TENCENT
    YANDEX
    NAVER
    AI21 LABS
    HUGGING FACE
    BAIDU
    SENSETIME
    HUAWEI
  • 14.3 STARTUP/SME PROFILES
    FEDML
    DYNAMOFL
    TOGETHER AI
    UPSTAGE
    MISTRAL AI
    ADEPT
    NEURALFINITY
    MOSAIC ML
    STABILITY AI
    LIGHTON
    COHERE
    TURING
    LIGHTNING AI
    WHYLABS
ADJACENT AND RELATED MARKETS
411
  • 15.1 INTRODUCTION
  • 15.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence market, by offering
    - Artificial intelligence market, by technology
    - Artificial intelligence market, by business function
    - Artificial intelligence market, by vertical
    - Artificial intelligence market, by region
  • 15.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Generative AI market, by offering
    - Generative AI market, by application
    - Generative AI market, by region
APPENDIX
421
  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2020–2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 RESEARCH ASSUMPTIONS
  • TABLE 5 IMPACT OF RECESSION ON GLOBAL LARGE LANGUAGE MODEL MARKET
  • TABLE 6 GLOBAL LARGE LANGUAGE MODEL MARKET SIZE AND GROWTH RATE, 2020–2023 (USD MILLION, Y-O-Y %)
  • TABLE 7 GLOBAL LARGE LANGUAGE MODEL MARKET SIZE AND GROWTH RATE, 2024–2030 (USD MILLION, Y-O-Y %)
  • TABLE 8 LARGE LANGUAGE MODEL MARKET: VALUE CHAIN ANALYSIS
  • TABLE 9 LARGE LANGUAGE MODEL MARKET: ECOSYSTEM
  • TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 PATENTS FILED, 2013–2023
  • TABLE 16 TOP 20 PATENT OWNERS IN LARGE LANGUAGE MODEL MARKET, 2013–2023
  • TABLE 17 LIST OF FEW PATENTS IN LARGE LANGUAGE MODEL MARKET, 2022–2023
  • TABLE 18 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE
  • TABLE 19 INDICATIVE PRICING LEVELS OF LARGE LANGUAGE MODEL SOLUTIONS, BY OFFERING
  • TABLE 20 LARGE LANGUAGE MODEL MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
  • TABLE 21 PORTER’S FIVE FORCES’ IMPACT ON LARGE LANGUAGE MODEL MARKET
  • TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR KEY END USERS
  • TABLE 23 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 24 LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 25 LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 26 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 27 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
  • TABLE 28 GENERAL-PURPOSE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 29 GENERAL-PURPOSE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 30 ZERO-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 31 ZERO-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 32 ONE-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 33 ONE-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 34 FEW-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 35 FEW-SHOT DOMAIN-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 36 MULTILINGUAL LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 37 MULTILINGUAL LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 38 TASK-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 39 TASK-SPECIFIC LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 40 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 41 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 42 OPEN-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 43 OPEN-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 44 CLOSED-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 45 CLOSED-SOURCE LLMS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 46 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 47 LARGE LANGUAGE MODEL MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 48 CLOUD: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 49 CLOUD: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 50 ON-PREMISES: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 51 ON-PREMISES: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 52 LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 53 LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 54 CONSULTING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 55 CONSULTING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 56 LLM DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 57 LLM DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 58 INTEGRATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 59 INTEGRATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 60 FULL FINE-TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 61 FULL FINE-TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 62 RETRIEVAL-AUGMENTED GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 63 RETRIEVAL-AUGMENTED GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 64 ADAPTER-BASED PARAMETER-EFFICIENT TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 65 ADAPTER-BASED PARAMETER-EFFICIENT TUNING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 66 LLM-BACKED APP DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 67 LLM-BACKED APP DEVELOPMENT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 68 PROMPT ENGINEERING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 69 PROMPT ENGINEERING: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 70 SUPPORT & MAINTENANCE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 71 SUPPORT & MAINTENANCE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 72 LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 73 LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 74 AUTOREGRESSIVE LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 75 AUTOREGRESSIVE LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 76 AUTOENCODING LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 77 AUTOENCODING LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 78 HYBRID LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 79 HYBRID LANGUAGE MODELS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 80 LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 81 LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 82 TEXT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 83 TEXT: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 84 CODE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 85 CODE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 86 IMAGE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 87 IMAGE: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 88 VIDEO: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 89 VIDEO: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 90 LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 91 LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 92 BELOW 1 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 93 BELOW 1 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 94 1 BILLION TO 10 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 95 1 BILLION TO 10 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 96 10 BILLION TO 50 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 97 10 BILLION TO 50 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 98 50 BILLION TO 100 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 99 50 BILLION TO 100 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 100 100 BILLION TO 200 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 101 100 BILLION TO 200 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 102 200 BILLION TO 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 103 200 BILLION TO 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 104 ABOVE 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 105 ABOVE 500 BILLION PARAMETERS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 106 LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 107 LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 108 INFORMATION RETRIEVAL: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 109 INFORMATION RETRIEVAL: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 110 LANGUAGE TRANSLATION & LOCALIZATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 111 LANGUAGE TRANSLATION & LOCALIZATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 112 CONTENT GENERATION & CURATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 113 CONTENT GENERATION & CURATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 114 CODE GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 115 CODE GENERATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 116 CUSTOMER SERVICE AUTOMATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 117 CUSTOMER SERVICE AUTOMATION: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 118 DATA ANALYSIS AND BI: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 119 DATA ANALYSIS AND BI: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 120 OTHER APPLICATIONS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 121 OTHER APPLICATIONS: LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 122 LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 123 LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 124 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 125 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 126 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 127 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 128 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 129 LARGE LANGUAGE MODEL MARKET IN IT & ITES, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 130 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 131 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 132 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 133 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 134 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 135 LARGE LANGUAGE MODEL MARKET IN HEALTHCARE & LIFE SCIENCES, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 136 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 137 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 138 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 139 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 140 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 141 LARGE LANGUAGE MODEL MARKET IN LAW FIRMS, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 142 LARGE LANGUAGE MODEL MARKET IN BFSI, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 143 LARGE LANGUAGE MODEL MARKET IN BFSI, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 144 LARGE LANGUAGE MODEL MARKET IN BFSI, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 145 LARGE LANGUAGE MODEL MARKET IN BFSI, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 146 LARGE LANGUAGE MODEL MARKET IN BFSI, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 147 LARGE LANGUAGE MODEL MARKET IN BFSI, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 148 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 149 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 150 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 151 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 152 LARGE LANGUAGE MODEL MARKET IN MANUFACTURING, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 153 MANUFACTURING: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 154 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 155 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 156 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 157 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 158 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 159 LARGE LANGUAGE MODEL MARKET IN EDUCATION, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 160 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 161 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 162 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 163 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 164 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 165 LARGE LANGUAGE MODEL MARKET IN RETAIL & ECOMMERCE, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 166 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 167 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 168 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 169 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 170 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 171 LARGE LANGUAGE MODEL MARKET IN MEDIA & ENTERTAINMENT, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 172 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 173 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 174 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 175 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 176 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 177 LARGE LANGUAGE MODEL MARKET IN OTHER END USERS, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 178 LARGE LANGUAGE MODEL MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 179 LARGE LANGUAGE MODEL MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 180 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 181 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 182 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 183 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 184 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 185 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 186 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 187 NORTH AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 188 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 189 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 190 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 191 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 192 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 193 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 194 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 195 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 196 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 197 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 198 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 199 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 200 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 201 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 202 US: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 203 US: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 204 CANADA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 205 CANADA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 206 EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 207 EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 208 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 209 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 210 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 211 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 212 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 213 EUROPE: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 214 EUROPE: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 215 EUROPE: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 216 EUROPE: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 217 EUROPE: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 218 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 219 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 220 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 221 EUROPE: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 222 EUROPE: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 223 EUROPE: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 224 EUROPE: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 225 EUROPE: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 226 EUROPE: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 227 EUROPE: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 228 UK: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 229 UK: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 230 GERMANY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 231 GERMANY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 232 FRANCE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 233 FRANCE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 234 REST OF EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 235 REST OF EUROPE: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 236 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 237 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 238 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 239 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 240 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 241 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 242 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 243 ASIA PACIFIC: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 244 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 245 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 246 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 247 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 248 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 249 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 250 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 251 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 252 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 253 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 254 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 255 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 256 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 257 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 258 CHINA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 259 CHINA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 260 INDIA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 261 INDIA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 262 JAPAN: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 263 JAPAN: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 264 SOUTH KOREA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 265 SOUTH KOREA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 266 REST OF ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 267 REST OF ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 268 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 269 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 270 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 271 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 272 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 273 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 274 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 275 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 276 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 277 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 278 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 279 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 280 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 281 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 282 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 283 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 284 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 285 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 286 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 287 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 288 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY/REGION, 2020–2023 (USD MILLION)
  • TABLE 289 MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY/REGION, 2024–2030 (USD MILLION)
  • TABLE 290 GCC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 291 GCC: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 292 SOUTH AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 293 SOUTH AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 294 TURKEY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 295 TURKEY: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 296 REST OF MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 297 REST OF MIDDLE EAST & AFRICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 298 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 299 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 300 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 301 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY TYPE, 2024–2030 (USD MILLION)
  • TABLE 302 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2020–2023 (USD MILLION)
  • TABLE 303 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY SOURCE CODE, 2024–2030 (USD MILLION)
  • TABLE 304 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION)
  • TABLE 305 LATIN AMERICA: LARGE LANGUAGE MODEL SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 306 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2020–2023 (USD MILLION)
  • TABLE 307 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 308 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2020–2023 (USD MILLION)
  • TABLE 309 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY ARCHITECTURE, 2024–2030 (USD MILLION)
  • TABLE 310 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2020–2023 (USD MILLION)
  • TABLE 311 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODALITY, 2024–2030 (USD MILLION)
  • TABLE 312 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2020–2023 (USD MILLION)
  • TABLE 313 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY MODEL SIZE, 2024–2030 (USD MILLION)
  • TABLE 314 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 315 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 316 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2020–2023 (USD MILLION)
  • TABLE 317 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 318 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 319 LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 320 BRAZIL: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 321 BRAZIL: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 322 MEXICO: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 323 MEXICO: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 324 REST OF LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 325 REST OF LATIN AMERICA: LARGE LANGUAGE MODEL MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 326 OVERVIEW OF STRATEGIES ADOPTED BY KEY LARGE LANGUAGE MODEL VENDORS
  • TABLE 327 LARGE LANGUAGE MODEL MARKET: DEGREE OF COMPETITION
  • TABLE 328 REGION FOOTPRINT (18 COMPANIES)
  • TABLE 329 APPLICATION FOOTPRINT (18 COMPANIES)
  • TABLE 330 END-USER FOOTPRINT (18 COMPANIES)
  • TABLE 331 MODALITY FOOTPRINT (18 COMPANIES)
  • TABLE 332 LARGE LANGUAGE MODEL MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 333 LARGE LANGUAGE MODEL MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 334 LARGE LANGUAGE MODEL MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, FEBRUARY 2021–FEBRUARY 2024
  • TABLE 335 LARGE LANGUAGE MODEL MARKET: DEALS, FEBRUARY 2021–FEBRUARY 2024
  • TABLE 336 GOOGLE: BUSINESS OVERVIEW
  • TABLE 337 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 338 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 339 GOOGLE: DEALS
  • TABLE 340 OPENAI: BUSINESS OVERVIEW
  • TABLE 341 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 342 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 343 OPENAI: DEALS
  • TABLE 344 MICROSOFT: BUSINESS OVERVIEW
  • TABLE 345 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 346 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 347 MICROSOFT: DEALS
  • TABLE 348 ANTHROPIC: BUSINESS OVERVIEW
  • TABLE 349 ANTHROPIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 350 ANTHROPIC: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 351 ANTHROPIC: DEALS
  • TABLE 352 META: BUSINESS OVERVIEW
  • TABLE 353 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 354 META: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 355 META: DEALS
  • TABLE 356 NVIDIA: BUSINESS OVERVIEW
  • TABLE 357 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 358 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 359 NVIDIA: DEALS
  • TABLE 360 IBM: BUSINESS OVERVIEW
  • TABLE 361 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 362 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 363 IBM: DEALS
  • TABLE 364 HPE: BUSINESS OVERVIEW
  • TABLE 365 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 366 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 367 HPE: DEALS
  • TABLE 368 ORACLE: BUSINESS OVERVIEW
  • TABLE 369 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 370 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 371 ORACLE: DEALS
  • TABLE 372 AWS: BUSINESS OVERVIEW
  • TABLE 373 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 374 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 375 AWS: DEALS
  • TABLE 376 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 377 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023–2030 (USD MILLION)
  • TABLE 378 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 379 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
  • TABLE 380 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
  • TABLE 381 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
  • TABLE 382 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 383 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
  • TABLE 384 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 385 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 386 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 387 GENERATIVE AI MARKET, BY OFFERING, 2023–2030 (USD MILLION)
  • TABLE 388 GENERATIVE AI APPLICATION MARKET, BY BUSINESS FUNCTION, 2019–2022 (USD MILLION)
  • TABLE 389 GENERATIVE AI APPLICATION MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
  • TABLE 390 GENERATIVE AI APPLICATION MARKET, BY DATA MODALITY, 2019–2022 (USD MILLION)
  • TABLE 391 GENERATIVE AI APPLICATION MARKET, BY DATA MODALITY, 2023–2030 (USD MILLION)
  • TABLE 392 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 393 GENERATIVE AI MARKET, BY REGION, 2023–2030 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 LARGE LANGUAGE MODEL MARKET: RESEARCH DESIGN
  • FIGURE 2 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 KEY INSIGHTS FROM EXPERTS
  • FIGURE 4 LARGE LANGUAGE MODEL MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 5 APPROACH 1 (BOTTOM-UP, SUPPLY-SIDE): REVENUE FROM VENDORS OF SOLUTIONS/SERVICES OF LARGE LANGUAGE MODELS
  • FIGURE 6 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF LARGE LANGUAGE MODELS
  • FIGURE 7 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): MARKET ESTIMATION FROM ALL SOLUTIONS/SERVICES AND CORRESPONDING SOURCES
  • FIGURE 8 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF LARGE LANGUAGE MODELS THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING
  • FIGURE 9 DATA TRIANGULATION
  • FIGURE 10 STUDY LIMITATIONS
  • FIGURE 11 SOFTWARE SEGMENT TO HOLD LARGER MARKET SIZE IN 2024
  • FIGURE 12 GENERAL-PURPOSE LLMS TO BE DOMINANT SEGMENT, BY SOFTWARE TYPE, DURING FORECAST PERIOD
  • FIGURE 13 CLOSED-SOURCE LLMS SEGMENT, BY SOFTWARE SOURCE CODE, TO DOMINATE MARKET IN 2024
  • FIGURE 14 CLOUD TO BE FASTER-GROWING DEPLOYMENT MODE DURING FORECAST PERIOD
  • FIGURE 15 LLM DEVELOPMENT SEGMENT, BY SERVICE, TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 16 AUTOENCODING LLMS ARCHITECTURE SEGMENT SET TO REGISTER FASTEST GROWTH RATE BETWEEN 2024 AND 2030
  • FIGURE 17 TEXT SEGMENT, BY MODALITY, SET TO WITNESS LARGEST MARKET SHARE IN 2024
  • FIGURE 18 1 BILLION TO 10 BILLION PARAMETERS SEGMENT, BY MODEL SIZE, SET TO WITNESS LARGEST MARKET SHARE IN 2024
  • FIGURE 19 LANGUAGE TRANSLATION & LOCALIZATION SEGMENT TO BECOME FASTEST-GROWING APPLICATION DURING FORECAST PERIOD
  • FIGURE 20 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 21 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE BETWEEN 2024 AND 2030
  • FIGURE 22 INCREASING DEMAND FOR SOPHISTICATED NLP APPLICATIONS ACROSS DIVERSE INDUSTRIES TO BE PIVOTAL GROWTH DRIVER
  • FIGURE 23 INFORMATION RETRIEVAL APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 24 SOFTWARE AND MEDIA & ENTERTAINMENT TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2024
  • FIGURE 25 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: LARGE LANGUAGE MODEL MARKET
  • FIGURE 27 VOLUME OF DATA GENERATED AND CONSUMED WORLDWIDE, 2010–2023 (ZETTABYTE)
  • FIGURE 28 LLM PERFORMANCE TO SCALE RAPIDLY WITH SPIKE IN MODEL SIZE, 2018–2023 (BILLION PARAMETERS)
  • FIGURE 29 USERS BECOMING INCREASINGLY ADAPTED TO CHATBOT CONVERSATIONS, 2021 VS. 2022
  • FIGURE 30 LARGE LANGUAGE MODEL USE CASES ACROSS ENTERPRISE SIZE, 2022
  • FIGURE 31 TRAINING COSTS PER MILLION PARAMETERS FOR VARIOUS GPT-3-BASED LARGE LANGUAGE MODELS
  • FIGURE 32 SCORES OF SOME PROMINENT LLMS IN HUMAN COGNITIVE SKILLS, 2022
  • FIGURE 33 COMPUTE REQUIREMENTS OF SOME PROMINENT LLMS (TERAFLOP)
  • FIGURE 34 MODEL DRIFT IN GPT-4 WITHIN 3 MONTHS (MARCH 2023 VS. JUNE 2023)
  • FIGURE 35 EVOLUTION OF LARGE LANGUAGE MODEL MARKET
  • FIGURE 36 LARGE LANGUAGE MODEL MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 37 LARGE LANGUAGE MODEL MARKET MAP: KEY PLAYERS
  • FIGURE 38 LEADING LLM DEVELOPERS BY FUNDING VALUE AND FUNDING ROUNDS, 2017–2024 (USD MILLION)
  • FIGURE 39 MOST VALUED LLM DEVELOPERS, 2023 (USD BILLION)
  • FIGURE 40 INVESTMENTS IN LARGE LANGUAGE MODEL OPERATIONS (LLMOPS), BY CATEGORY, 2023 (USD MILLION)
  • FIGURE 41 LARGE LANGUAGE MODEL MARKET DEAL COUNT AND DEAL VALUE, Q1 2021–Q3 2023 (USD MILLION)
  • FIGURE 42 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
  • FIGURE 43 TOP 10 APPLICANTS IN LARGE LANGUAGE MODEL MARKET, 2013–2023
  • FIGURE 44 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
  • FIGURE 45 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE TYPE
  • FIGURE 46 EXPORT VALUE OF COMPUTER SOFTWARE, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 47 IMPORT VALUE OF COMPUTER SOFTWARE, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 48 PORTER’S FIVE FORCES ANALYSIS: LARGE LANGUAGE MODEL MARKET
  • FIGURE 49 TECHNOLOGY ROADMAP FOR LARGE LANGUAGE MODEL MARKET
  • FIGURE 50 LARGE LANGUAGE MODEL: BUSINESS MODELS
  • FIGURE 51 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • FIGURE 52 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR KEY END USERS
  • FIGURE 53 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 54 SOFTWARE SEGMENT TO REGISTER LARGER MARKET SHARE IN 2024
  • FIGURE 55 DOMAIN-SPECIFIC LLMS TO BE FASTEST-GROWING SEGMENT BETWEEN 2024 AND 2030
  • FIGURE 56 CLOSED-SOURCE LLMS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 57 CLOUD SEGMENT TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 58 LLM FINE-TUNING SERVICES TO REGISTER HIGHEST GROWTH RATE IN LARGE LANGUAGE MODEL MARKET BETWEEN 2024 AND 2030
  • FIGURE 59 AUTOENCODING LLMS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 60 VIDEO MODALITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 61 200 BILLION TO 500 BILLION PARAMETERS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 62 PROMINENT LLMS BELOW 1 BILLION PARAMETERS
  • FIGURE 63 PROMINENT LLMS BETWEEN 1 BILLION AND 10 BILLION PARAMETERS
  • FIGURE 64 PROMINENT LLMS BETWEEN 10 BILLION AND 50 BILLION PARAMETERS
  • FIGURE 65 PROMINENT LLMS BETWEEN 50 BILLION AND 100 BILLION PARAMETERS
  • FIGURE 66 PROMINENT LLMS BETWEEN 100 BILLION AND 200 BILLION PARAMETERS
  • FIGURE 67 PROMINENT LLMS BETWEEN 200 BILLION AND 500 BILLION PARAMETERS
  • FIGURE 68 PROMINENT LLMS ABOVE 500 BILLION PARAMETERS
  • FIGURE 69 LANGUAGE TRANSLATION & LOCALIZATION APPLICATION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 70 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 71 IT/ITES: KEY USE CASES
  • FIGURE 72 HEALTHCARE & LIFE SCIENCES: KEY USE CASES
  • FIGURE 73 LAW FIRMS: KEY USE CASES
  • FIGURE 74 BFSI: KEY USE CASES
  • FIGURE 75 MANUFACTURING: KEY USE CASES
  • FIGURE 76 EDUCATION: KEY USE CASES
  • FIGURE 77 RETAIL & ECOMMERCE: KEY USE CASES
  • FIGURE 78 MEDIA & ENTERTAINMENT: KEY USE CASES
  • FIGURE 79 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 80 INDIA TO REGISTER HIGHEST GROWTH RATE IN LARGE LANGUAGE MODEL MARKET DURING FORECAST PERIOD
  • FIGURE 81 NORTH AMERICA: LARGE LANGUAGE MODEL MARKET SNAPSHOT
  • FIGURE 82 ASIA PACIFIC: LARGE LANGUAGE MODEL MARKET SNAPSHOT
  • FIGURE 83 TOP 5 PUBLIC PLAYERS DOMINATED MARKET IN LAST 4 YEARS
  • FIGURE 84 SHARE OF LEADING COMPANIES IN LARGE LANGUAGE MODEL MARKET, 2023
  • FIGURE 85 PRODUCT COMPARATIVE ANALYSIS, BY GENERAL-PURPOSE LLM
  • FIGURE 86 PRODUCT COMPARATIVE ANALYSIS, BY DOMAIN-SPECIFIC LLM
  • FIGURE 87 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM (1/2)
  • FIGURE 88 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE LLM (2/2)
  • FIGURE 89 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 90 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 91 LARGE LANGUAGE MODEL MARKET: COMPANY EVALUATION MATRIX, 2023
  • FIGURE 92 COMPANY FOOTPRINT (18 COMPANIES)
  • FIGURE 93 LARGE LANGUAGE MODEL MARKET: STARTUP/SME EVALUATION MATRIX, 2023
  • FIGURE 94 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 95 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 96 META: COMPANY SNAPSHOT
  • FIGURE 97 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 98 IBM: COMPANY SNAPSHOT
  • FIGURE 99 HPE: COMPANY SNAPSHOT
  • FIGURE 100 ORACLE: COMPANY SNAPSHOT
  • FIGURE 101 AWS: COMPANY SNAPSHOT

The Large Language Model (LLM) market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred large language model providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors websites. Additionally, large language model spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, hardware, services, technology, applications, warehouse sizes, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and large language models expertise; related key executives from large language models solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using large language models solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of large language models solutions and services, which would impact the overall large language model market.

Large Language Model (LLM) Market Size, and Share

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the large language model market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the large language model market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of software and services according to data types, business functions, deployment models, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of large language model solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of large language models solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the large language model market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major large language models providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall large language model market size and segments’ size were determined and confirmed using the study.

Global Large Language Model Market Size: Bottom-Up and Top-Down Approach:

Large Language Model (LLM) Market Bottom Up and Top Down Approach

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Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

A large language model (LLM) is a neural network-based artificial intelligence system trained on vast amounts of text data to understand and generate human-like language. It uses deep learning techniques to learn patterns and relationships, allowing coherent and contextually relevant text output. LLMs are called “large” as they consist of billions or trillions of parameters, enabling them to capture extensive knowledge and language patterns. This massive parameter count allows LLMs to perform a wide range of natural language processing tasks with human-like proficiency, such as text generation, summarization, translation, and question-answering.

Stakeholders

  • Generative AI software developers
  • Large language model software vendors
  • Business analysts
  • Cloud service providers
  • Consulting service providers
  • Enterprise end-users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISV)
  • Managed service providers
  • Market research and consulting firms
  • Support & maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Language service providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the large language model market by offering (software and services), architecture, modality, model size, application, end-user, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies.
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
  • To analyze the impact of recession across all the regions across the large language model market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American large language model market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

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