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Large Language Model Powered Tools Market Size, Share & Trends Analysis Report By Deployment (Cloud, and On-Premises), By Type, By Application, By Regional Outlook and Forecast, 2024 - 2031

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    Report

  • 279 Pages
  • September 2024
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6007513
The Global Large Language Model Powered Tools Market size is expected to reach $24.4 billion by 2031, rising at a market growth of 45.5% CAGR during the forecast period.

LLMs have found innovative applications in the creative industries, assisting with scriptwriting, story generation, music composition, and visual art generation. These tools allow creative professionals to experiment with ideas and develop content faster. For example, writers can use LLM-powered tools to generate creative prompts, while artists can employ AI to explore new artistic styles or design concepts. The potential for AI to enhance the creative process is gaining momentum and attracting interest from the entertainment, gaming, and media sectors. As the creative arts industry continues to explore the possibilities of AI-powered creativity, this segment is poised for further growth. Thus, the creative arts segment acquired 12% revenue share in the large language model powered tools market in 2023.



The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2024, OpenAI, LLC partnered with Stack Overflow, a cloud-based solutions provider, to integrate Stack Overflow's OverflowAPI into ChatGPT, providing developers with trusted, vetted technical knowledge. The collaboration would improve AI model performance and enhance the developer experience.

Cardinal Matrix - Market Competition Analysis

Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Large Language Model Powered Tools Market. Companies such as Meta Platforms, Inc., NVIDIA Corporation, Amazon Web Services, Inc. are some of the key innovators in Large Language Model Powered Tools Market. In January, 2024, Microsoft unveiled new generative AI and data solutions for retailers, including copilot templates on Azure OpenAI Service, retail data solutions in Microsoft Fabric, and new features in Dynamics 365 Customer Insights. These tools aim to enhance personalized shopping, improve store operations, and unify retail data to drive better customer engagement and marketing effectiveness.



Market Growth Factors

Companies like Netflix and Spotify use these AI tools to improve user experiences through personalized suggestions and responses, boosting customer loyalty. Hence, as the demand for customized and efficient service grows, AI-powered customer support tools continue to gain traction across various sectors, accelerating market growth.

Additionally, platforms like Facebook and Twitter generate vast amounts of text data daily, providing LLMs with rich datasets to improve their language understanding and generation capabilities. The availability of this extensive data is a key driver in advancing LLM-powered tools, as it enables these models to become more accurate, nuanced, and effective in diverse applications. Thus, as data grows in volume, the need for LLM-powered tools across industries will only increase, leading to further market expansion.

Market Restraining Factors

Training large language models requires vast amounts of data and high-performance hardware like GPUs and TPUs, which are expensive to acquire and maintain. Smaller companies and organizations often lack the infrastructure to support such intensive computational needs, creating a financial barrier to entering the market or developing proprietary LLMs. Hence, these high costs are a major barrier to the democratization of LLM-powered technologies, limiting their widespread adoption despite the growing demand for advanced AI tools across industries.



The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Product Launches and Product Expansions.

Driving and Restraining Factors

Drivers

  • Rising adoption of AI-powered customer support
  • Rapid growth in data availability
  • Increasing AI investments and venture capital funding

Restraints

  • High computational costs of LLM-powered tools
  • Data privacy and security concerns

Opportunities

  • Growing demand for automation in content creation
  • Rise of AI in education and learning

Challenges

  • Substantial ethical and bias issues
  • Lack of skilled personnel

Deployment Outlook

On the basis of deployment, the market is bifurcated into cloud and on-premises. The cloud segment acquired 67% revenue share in the market in 2023. Cloud-based LLM-powered tools offer several advantages, including scalability, flexibility, and reduced infrastructure costs, making them the preferred choice for many organizations.

Type Outlook

Based on type, the market is divided into general-purpose tools, domain-specific tools, and task-specific tools. The domain-specific tools segment procured 38% revenue share in the market in 2023. These tools are designed to understand their domains' specific jargon, regulatory requirements, and operational needs.



Application Outlook

By application, the market is classified into content generation, customer support, data analysis & insights, software development, personalization, language translation, education & training, and creative arts. The content generation segment witnessed 23% revenue share in the market in 2023. The demand for automated and AI-driven content creation has surged across industries like marketing, journalism, eCommerce, and entertainment, where producing large volumes of high-quality text is essential.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 31% revenue share in the market in 2023. The region has proactively implemented AI regulations, such as the European Union's AI Act, which seeks to foster innovation while ensuring safe and ethical AI deployment.

Market Competition and Attributes



The Large Language Model Powered Tools market is highly competitive, driven by key players innovating in natural language processing and AI capabilities. Attributes defining market leaders include advanced neural network architectures, extensive training data sets, and robust API integration for diverse applications. Emerging trends emphasize model interpretability, multilingual capabilities, and customization for specific domains. Market dynamics are influenced by rapid technological advancements and increasing demand for AI-driven solutions across industries like customer service, healthcare, and content generation.

Recent Strategies Deployed in the Market

  • Sep-2024; HPE unveiled HPE Private Cloud AI, offering turnkey cloud-based AI solutions. It includes solution accelerators to simplify AI app deployment, starting with a virtual assistant powered by large language models.
  • Jun-2024: OpenAI acquired Multi Software Co., a videoconferencing platform for software development teams. Multi's AI tools, such as meeting summaries and action item generation, align with OpenAI's focus on enhancing productivity through AI. Additionally, Multi's expertise in real-time collaboration, especially for software development teams, would strengthen OpenAI’s ability to create tools that streamline programming processes, including pair programming and remote teamwork.
  • May-2024: OpenAI, LLC partnered with Stack Overflow, a cloud-based solutions provider, to integrate Stack Overflow's OverflowAPI into ChatGPT, providing developers with trusted, vetted technical knowledge. The collaboration would improve AI model performance and enhance the developer experience.
  • May-2024: Meta introduced new AI tools for advertisers to create social media content, including image variants and text generation features. These tools. aim to enhance creative options and brand consistency.
  • Mar-2024: Oracle Corporation partnered with NVIDIA, an American software company, to offer sovereign AI solutions, integrating Oracle’s cloud services with NVIDIA’s AI infrastructure. This partnership enables secure, localized AI deployments for governments and enterprises.

List of Key Companies Profiled

  • OpenAI, LLC
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • Meta Platforms, Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Salesforce, Inc.
  • Hewlett Packard Enterprise Company
  • NVIDIA Corporation

Market Report Segmentation

By Deployment

  • Cloud
  • On-Premises

By Type

  • General-Purpose Tools
  • Domain-Specific Tools
  • Task-Specific Tools

By Application

  • Content Generation
  • Customer Support
  • Language Translation
  • Creative Arts
  • Data Analysis & Insights
  • Software Development
  • Personalization
  • Education & Training

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Large Language Model Powered Tools Market, by Deployment
1.4.2 Global Large Language Model Powered Tools Market, by Type
1.4.3 Global Large Language Model Powered Tools Market, by Application
1.4.4 Global Large Language Model Powered Tools Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2023, Feb - 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Global Large Language Model Powered Tools Market by Deployment
5.1 Global Cloud Market by Region
5.2 Global On-Premises Market by Region
Chapter 6. Global Large Language Model Powered Tools Market by Type
6.1 Global General-Purpose Tools Market by Region
6.2 Global Domain-Specific Tools Market by Region
6.3 Global Task-Specific Tools Market by Region
Chapter 7. Global Large Language Model Powered Tools Market by Application
7.1 Global Content Generation Market by Region
7.2 Global Customer Support Market by Region
7.3 Global Language Translation Market by Region
7.4 Global Creative Arts Market by Region
7.5 Global Data Analysis & Insights Market by Region
7.6 Global Software Development Market by Region
7.7 Global Personalization Market by Region
7.8 Global Education & Training Market by Region
Chapter 8. Global Large Language Model Powered Tools Market by Region
8.1 North America Large Language Model Powered Tools Market
8.1.1 North America Large Language Model Powered Tools Market by Deployment
8.1.1.1 North America Cloud Market by Country
8.1.1.2 North America On-Premises Market by Country
8.1.2 North America Large Language Model Powered Tools Market by Type
8.1.2.1 North America General-Purpose Tools Market by Country
8.1.2.2 North America Domain-Specific Tools Market by Country
8.1.2.3 North America Task-Specific Tools Market by Country
8.1.3 North America Large Language Model Powered Tools Market by Application
8.1.3.1 North America Content Generation Market by Country
8.1.3.2 North America Customer Support Market by Country
8.1.3.3 North America Language Translation Market by Country
8.1.3.4 North America Creative Arts Market by Country
8.1.3.5 North America Data Analysis & Insights Market by Country
8.1.3.6 North America Software Development Market by Country
8.1.3.7 North America Personalization Market by Country
8.1.3.8 North America Education & Training Market by Country
8.1.4 North America Large Language Model Powered Tools Market by Country
8.1.4.1 US Large Language Model Powered Tools Market
8.1.4.1.1 US Large Language Model Powered Tools Market by Deployment
8.1.4.1.2 US Large Language Model Powered Tools Market by Type
8.1.4.1.3 US Large Language Model Powered Tools Market by Application
8.1.4.2 Canada Large Language Model Powered Tools Market
8.1.4.2.1 Canada Large Language Model Powered Tools Market by Deployment
8.1.4.2.2 Canada Large Language Model Powered Tools Market by Type
8.1.4.2.3 Canada Large Language Model Powered Tools Market by Application
8.1.4.3 Mexico Large Language Model Powered Tools Market
8.1.4.3.1 Mexico Large Language Model Powered Tools Market by Deployment
8.1.4.3.2 Mexico Large Language Model Powered Tools Market by Type
8.1.4.3.3 Mexico Large Language Model Powered Tools Market by Application
8.1.4.4 Rest of North America Large Language Model Powered Tools Market
8.1.4.4.1 Rest of North America Large Language Model Powered Tools Market by Deployment
8.1.4.4.2 Rest of North America Large Language Model Powered Tools Market by Type
8.1.4.4.3 Rest of North America Large Language Model Powered Tools Market by Application
8.2 Europe Large Language Model Powered Tools Market
8.2.1 Europe Large Language Model Powered Tools Market by Deployment
8.2.1.1 Europe Cloud Market by Country
8.2.1.2 Europe On-Premises Market by Country
8.2.2 Europe Large Language Model Powered Tools Market by Type
8.2.2.1 Europe General-Purpose Tools Market by Country
8.2.2.2 Europe Domain-Specific Tools Market by Country
8.2.2.3 Europe Task-Specific Tools Market by Country
8.2.3 Europe Large Language Model Powered Tools Market by Application
8.2.3.1 Europe Content Generation Market by Country
8.2.3.2 Europe Customer Support Market by Country
8.2.3.3 Europe Language Translation Market by Country
8.2.3.4 Europe Creative Arts Market by Country
8.2.3.5 Europe Data Analysis & Insights Market by Country
8.2.3.6 Europe Software Development Market by Country
8.2.3.7 Europe Personalization Market by Country
8.2.3.8 Europe Education & Training Market by Country
8.2.4 Europe Large Language Model Powered Tools Market by Country
8.2.4.1 Germany Large Language Model Powered Tools Market
8.2.4.1.1 Germany Large Language Model Powered Tools Market by Deployment
8.2.4.1.2 Germany Large Language Model Powered Tools Market by Type
8.2.4.1.3 Germany Large Language Model Powered Tools Market by Application
8.2.4.2 UK Large Language Model Powered Tools Market
8.2.4.2.1 UK Large Language Model Powered Tools Market by Deployment
8.2.4.2.2 UK Large Language Model Powered Tools Market by Type
8.2.4.2.3 UK Large Language Model Powered Tools Market by Application
8.2.4.3 France Large Language Model Powered Tools Market
8.2.4.3.1 France Large Language Model Powered Tools Market by Deployment
8.2.4.3.2 France Large Language Model Powered Tools Market by Type
8.2.4.3.3 France Large Language Model Powered Tools Market by Application
8.2.4.4 Russia Large Language Model Powered Tools Market
8.2.4.4.1 Russia Large Language Model Powered Tools Market by Deployment
8.2.4.4.2 Russia Large Language Model Powered Tools Market by Type
8.2.4.4.3 Russia Large Language Model Powered Tools Market by Application
8.2.4.5 Spain Large Language Model Powered Tools Market
8.2.4.5.1 Spain Large Language Model Powered Tools Market by Deployment
8.2.4.5.2 Spain Large Language Model Powered Tools Market by Type
8.2.4.5.3 Spain Large Language Model Powered Tools Market by Application
8.2.4.6 Italy Large Language Model Powered Tools Market
8.2.4.6.1 Italy Large Language Model Powered Tools Market by Deployment
8.2.4.6.2 Italy Large Language Model Powered Tools Market by Type
8.2.4.6.3 Italy Large Language Model Powered Tools Market by Application
8.2.4.7 Rest of Europe Large Language Model Powered Tools Market
8.2.4.7.1 Rest of Europe Large Language Model Powered Tools Market by Deployment
8.2.4.7.2 Rest of Europe Large Language Model Powered Tools Market by Type
8.2.4.7.3 Rest of Europe Large Language Model Powered Tools Market by Application
8.3 Asia Pacific Large Language Model Powered Tools Market
8.3.1 Asia Pacific Large Language Model Powered Tools Market by Deployment
8.3.1.1 Asia Pacific Cloud Market by Country
8.3.1.2 Asia Pacific On-Premises Market by Country
8.3.2 Asia Pacific Large Language Model Powered Tools Market by Type
8.3.2.1 Asia Pacific General-Purpose Tools Market by Country
8.3.2.2 Asia Pacific Domain-Specific Tools Market by Country
8.3.2.3 Asia Pacific Task-Specific Tools Market by Country
8.3.3 Asia Pacific Large Language Model Powered Tools Market by Application
8.3.3.1 Asia Pacific Content Generation Market by Country
8.3.3.2 Asia Pacific Customer Support Market by Country
8.3.3.3 Asia Pacific Language Translation Market by Country
8.3.3.4 Asia Pacific Creative Arts Market by Country
8.3.3.5 Asia Pacific Data Analysis & Insights Market by Country
8.3.3.6 Asia Pacific Software Development Market by Country
8.3.3.7 Asia Pacific Personalization Market by Country
8.3.3.8 Asia Pacific Education & Training Market by Country
8.3.4 Asia Pacific Large Language Model Powered Tools Market by Country
8.3.4.1 China Large Language Model Powered Tools Market
8.3.4.1.1 China Large Language Model Powered Tools Market by Deployment
8.3.4.1.2 China Large Language Model Powered Tools Market by Type
8.3.4.1.3 China Large Language Model Powered Tools Market by Application
8.3.4.2 Japan Large Language Model Powered Tools Market
8.3.4.2.1 Japan Large Language Model Powered Tools Market by Deployment
8.3.4.2.2 Japan Large Language Model Powered Tools Market by Type
8.3.4.2.3 Japan Large Language Model Powered Tools Market by Application
8.3.4.3 India Large Language Model Powered Tools Market
8.3.4.3.1 India Large Language Model Powered Tools Market by Deployment
8.3.4.3.2 India Large Language Model Powered Tools Market by Type
8.3.4.3.3 India Large Language Model Powered Tools Market by Application
8.3.4.4 South Korea Large Language Model Powered Tools Market
8.3.4.4.1 South Korea Large Language Model Powered Tools Market by Deployment
8.3.4.4.2 South Korea Large Language Model Powered Tools Market by Type
8.3.4.4.3 South Korea Large Language Model Powered Tools Market by Application
8.3.4.5 Australia Large Language Model Powered Tools Market
8.3.4.5.1 Australia Large Language Model Powered Tools Market by Deployment
8.3.4.5.2 Australia Large Language Model Powered Tools Market by Type
8.3.4.5.3 Australia Large Language Model Powered Tools Market by Application
8.3.4.6 Malaysia Large Language Model Powered Tools Market
8.3.4.6.1 Malaysia Large Language Model Powered Tools Market by Deployment
8.3.4.6.2 Malaysia Large Language Model Powered Tools Market by Type
8.3.4.6.3 Malaysia Large Language Model Powered Tools Market by Application
8.3.4.7 Rest of Asia Pacific Large Language Model Powered Tools Market
8.3.4.7.1 Rest of Asia Pacific Large Language Model Powered Tools Market by Deployment
8.3.4.7.2 Rest of Asia Pacific Large Language Model Powered Tools Market by Type
8.3.4.7.3 Rest of Asia Pacific Large Language Model Powered Tools Market by Application
8.4 LAMEA Large Language Model Powered Tools Market
8.4.1 LAMEA Large Language Model Powered Tools Market by Deployment
8.4.1.1 LAMEA Cloud Market by Country
8.4.1.2 LAMEA On-Premises Market by Country
8.4.2 LAMEA Large Language Model Powered Tools Market by Type
8.4.2.1 LAMEA General-Purpose Tools Market by Country
8.4.2.2 LAMEA Domain-Specific Tools Market by Country
8.4.2.3 LAMEA Task-Specific Tools Market by Country
8.4.3 LAMEA Large Language Model Powered Tools Market by Application
8.4.3.1 LAMEA Content Generation Market by Country
8.4.3.2 LAMEA Customer Support Market by Country
8.4.3.3 LAMEA Language Translation Market by Country
8.4.3.4 LAMEA Creative Arts Market by Country
8.4.3.5 LAMEA Data Analysis & Insights Market by Country
8.4.3.6 LAMEA Software Development Market by Country
8.4.3.7 LAMEA Personalization Market by Country
8.4.3.8 LAMEA Education & Training Market by Country
8.4.4 LAMEA Large Language Model Powered Tools Market by Country
8.4.4.1 Brazil Large Language Model Powered Tools Market
8.4.4.1.1 Brazil Large Language Model Powered Tools Market by Deployment
8.4.4.1.2 Brazil Large Language Model Powered Tools Market by Type
8.4.4.1.3 Brazil Large Language Model Powered Tools Market by Application
8.4.4.2 Argentina Large Language Model Powered Tools Market
8.4.4.2.1 Argentina Large Language Model Powered Tools Market by Deployment
8.4.4.2.2 Argentina Large Language Model Powered Tools Market by Type
8.4.4.2.3 Argentina Large Language Model Powered Tools Market by Application
8.4.4.3 UAE Large Language Model Powered Tools Market
8.4.4.3.1 UAE Large Language Model Powered Tools Market by Deployment
8.4.4.3.2 UAE Large Language Model Powered Tools Market by Type
8.4.4.3.3 UAE Large Language Model Powered Tools Market by Application
8.4.4.4 Saudi Arabia Large Language Model Powered Tools Market
8.4.4.4.1 Saudi Arabia Large Language Model Powered Tools Market by Deployment
8.4.4.4.2 Saudi Arabia Large Language Model Powered Tools Market by Type
8.4.4.4.3 Saudi Arabia Large Language Model Powered Tools Market by Application
8.4.4.5 South Africa Large Language Model Powered Tools Market
8.4.4.5.1 South Africa Large Language Model Powered Tools Market by Deployment
8.4.4.5.2 South Africa Large Language Model Powered Tools Market by Type
8.4.4.5.3 South Africa Large Language Model Powered Tools Market by Application
8.4.4.6 Nigeria Large Language Model Powered Tools Market
8.4.4.6.1 Nigeria Large Language Model Powered Tools Market by Deployment
8.4.4.6.2 Nigeria Large Language Model Powered Tools Market by Type
8.4.4.6.3 Nigeria Large Language Model Powered Tools Market by Application
8.4.4.7 Rest of LAMEA Large Language Model Powered Tools Market
8.4.4.7.1 Rest of LAMEA Large Language Model Powered Tools Market by Deployment
8.4.4.7.2 Rest of LAMEA Large Language Model Powered Tools Market by Type
8.4.4.7.3 Rest of LAMEA Large Language Model Powered Tools Market by Application
Chapter 9. Company Profiles
9.1 OpenAI, L.L.C.
9.1.1 Company Overview
9.1.2 Recent strategies and developments:
9.1.2.1 Partnerships, Collaborations, and Agreements:
9.1.2.2 Acquisition and Mergers:
9.1.3 SWOT Analysis
9.2 Google LLC (Alphabet Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.6 SWOT Analysis
9.3 Microsoft Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 IBM Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional & Segmental Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.5.2 Product Launches and Product Expansions:
9.4.6 SWOT Analysis
9.5 Oracle Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.5.2 Product Launches and Product Expansions:
9.5.6 SWOT Analysis
9.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental Analysis
9.6.4 Recent strategies and developments:
9.6.4.1 Partnerships, Collaborations, and Agreements:
9.6.5 SWOT Analysis
9.7 Meta Platforms, Inc.
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segment and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Product Launches and Product Expansions:
9.7.6 SWOT Analysis
9.8 Salesforce, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent strategies and developments:
9.8.5.1 Product Launches and Product Expansions:
9.8.6 SWOT Analysis
9.9 Hewlett Packard Enterprise Company
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Product Launches and Product Expansions:
9.9.6 SWOT Analysis
9.10. NVIDIA Corporation
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 Recent strategies and developments:
9.10.5.1 Partnerships, Collaborations, and Agreements:
9.10.5.2 Product Launches and Product Expansions:
9.10.6 SWOT Analysis
Chapter 10. Winning Imperatives for Large Language Model Powered Tools Market

Companies Mentioned

  • OpenAI, LLC
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • Meta Platforms, Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Salesforce, Inc.
  • Hewlett Packard Enterprise Company
  • NVIDIA Corporation

Methodology

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