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Global AI Large model All-in-One Machine Market 2026 by Company, Regions, Type and Application, Forecast to 2032

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1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI Large model All-in-One Machine by Type
    • 1.3.1 Overview: Global AI Large model All-in-One Machine Market Size by Type: 2021 Versus 2025 Versus 2032
    • 1.3.2 Global AI Large model All-in-One Machine Consumption Value Market Share by Type in 2025
    • 1.3.3 Business to Business
    • 1.3.4 Business to Consumer
    • 1.3.5 Government to Business
  • 1.4 Classification of AI Large model All-in-One Machine by Business & Delivery
    • 1.4.1 Overview: Global AI Large model All-in-One Machine Market Size by Business & Delivery: 2021 Versus 2025 Versus 2032
    • 1.4.2 Global AI Large model All-in-One Machine Consumption Value Market Share by Business & Delivery in 2025
    • 1.4.3 Licensed Product
    • 1.4.4 SaaS/Subscription
    • 1.4.5 Integration Services
    • 1.4.6 OEM/ODM
    • 1.4.7 Ecosystem Marketplace
  • 1.5 Classification of AI Large model All-in-One Machine by Hardware Architecture
    • 1.5.1 Overview: Global AI Large model All-in-One Machine Market Size by Hardware Architecture: 2021 Versus 2025 Versus 2032
    • 1.5.2 Global AI Large model All-in-One Machine Consumption Value Market Share by Hardware Architecture in 2025
    • 1.5.3 CPU+GPU
    • 1.5.4 AI Accelerators
    • 1.5.5 Heterogeneous Compute
    • 1.5.6 Cloud+Edge
    • 1.5.7 Rack-Server
  • 1.6 Global AI Large model All-in-One Machine Market by Application
    • 1.6.1 Overview: Global AI Large model All-in-One Machine Market Size by Application: 2021 Versus 2025 Versus 2032
    • 1.6.2 Government Affairs
    • 1.6.3 Public Security
    • 1.6.4 Education
    • 1.6.5 Medical Care
    • 1.6.6 Meteorological
    • 1.6.7 Others
  • 1.7 Global AI Large model All-in-One Machine Market Size & Forecast
  • 1.8 Global AI Large model All-in-One Machine Market Size and Forecast by Region
    • 1.8.1 Global AI Large model All-in-One Machine Market Size by Region: 2021 VS 2025 VS 2032
    • 1.8.2 Global AI Large model All-in-One Machine Market Size by Region, (2021-2032)
    • 1.8.3 North America AI Large model All-in-One Machine Market Size and Prospect (2021-2032)
    • 1.8.4 Europe AI Large model All-in-One Machine Market Size and Prospect (2021-2032)
    • 1.8.5 Asia-Pacific AI Large model All-in-One Machine Market Size and Prospect (2021-2032)
    • 1.8.6 South America AI Large model All-in-One Machine Market Size and Prospect (2021-2032)
    • 1.8.7 Middle East & Africa AI Large model All-in-One Machine Market Size and Prospect (2021-2032)

2 Company Profiles

  • 2.1 Baidu
    • 2.1.1 Baidu Details
    • 2.1.2 Baidu Major Business
    • 2.1.3 Baidu AI Large model All-in-One Machine Product and Solutions
    • 2.1.4 Baidu AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.1.5 Baidu Recent Developments and Future Plans
  • 2.2 iFLYTEK
    • 2.2.1 iFLYTEK Details
    • 2.2.2 iFLYTEK Major Business
    • 2.2.3 iFLYTEK AI Large model All-in-One Machine Product and Solutions
    • 2.2.4 iFLYTEK AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.2.5 iFLYTEK Recent Developments and Future Plans
  • 2.3 ChinaSoft International
    • 2.3.1 ChinaSoft International Details
    • 2.3.2 ChinaSoft International Major Business
    • 2.3.3 ChinaSoft International AI Large model All-in-One Machine Product and Solutions
    • 2.3.4 ChinaSoft International AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.3.5 ChinaSoft International Recent Developments and Future Plans
  • 2.4 H3C
    • 2.4.1 H3C Details
    • 2.4.2 H3C Major Business
    • 2.4.3 H3C AI Large model All-in-One Machine Product and Solutions
    • 2.4.4 H3C AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.4.5 H3C Recent Developments and Future Plans
  • 2.5 ArcherDT
    • 2.5.1 ArcherDT Details
    • 2.5.2 ArcherDT Major Business
    • 2.5.3 ArcherDT AI Large model All-in-One Machine Product and Solutions
    • 2.5.4 ArcherDT AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.5.5 ArcherDT Recent Developments and Future Plans
  • 2.6 Lenovo
    • 2.6.1 Lenovo Details
    • 2.6.2 Lenovo Major Business
    • 2.6.3 Lenovo AI Large model All-in-One Machine Product and Solutions
    • 2.6.4 Lenovo AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.6.5 Lenovo Recent Developments and Future Plans
  • 2.7 Dell
    • 2.7.1 Dell Details
    • 2.7.2 Dell Major Business
    • 2.7.3 Dell AI Large model All-in-One Machine Product and Solutions
    • 2.7.4 Dell AI Large model All-in-One Machine Revenue, Gross Margin and Market Share (2021-2026)
    • 2.7.5 Dell Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI Large model All-in-One Machine Revenue and Share by Players (2021-2026)
  • 3.2 Market Share Analysis (2025)
    • 3.2.1 Market Share of AI Large model All-in-One Machine by Company Revenue
    • 3.2.2 Top 3 AI Large model All-in-One Machine Players Market Share in 2025
    • 3.2.3 Top 6 AI Large model All-in-One Machine Players Market Share in 2025
  • 3.3 AI Large model All-in-One Machine Market: Overall Company Footprint Analysis
    • 3.3.1 AI Large model All-in-One Machine Market: Region Footprint
    • 3.3.2 AI Large model All-in-One Machine Market: Company Product Type Footprint
    • 3.3.3 AI Large model All-in-One Machine Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI Large model All-in-One Machine Consumption Value and Market Share by Type (2021-2026)
  • 4.2 Global AI Large model All-in-One Machine Market Forecast by Type (2027-2032)

5 Market Size Segment by Application

  • 5.1 Global AI Large model All-in-One Machine Consumption Value Market Share by Application (2021-2026)
  • 5.2 Global AI Large model All-in-One Machine Market Forecast by Application (2027-2032)

6 North America

  • 6.1 North America AI Large model All-in-One Machine Consumption Value by Type (2021-2032)
  • 6.2 North America AI Large model All-in-One Machine Market Size by Application (2021-2032)
  • 6.3 North America AI Large model All-in-One Machine Market Size by Country
    • 6.3.1 North America AI Large model All-in-One Machine Consumption Value by Country (2021-2032)
    • 6.3.2 United States AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 6.3.3 Canada AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 6.3.4 Mexico AI Large model All-in-One Machine Market Size and Forecast (2021-2032)

7 Europe

  • 7.1 Europe AI Large model All-in-One Machine Consumption Value by Type (2021-2032)
  • 7.2 Europe AI Large model All-in-One Machine Consumption Value by Application (2021-2032)
  • 7.3 Europe AI Large model All-in-One Machine Market Size by Country
    • 7.3.1 Europe AI Large model All-in-One Machine Consumption Value by Country (2021-2032)
    • 7.3.2 Germany AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 7.3.3 France AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 7.3.4 United Kingdom AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 7.3.5 Russia AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 7.3.6 Italy AI Large model All-in-One Machine Market Size and Forecast (2021-2032)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI Large model All-in-One Machine Consumption Value by Type (2021-2032)
  • 8.2 Asia-Pacific AI Large model All-in-One Machine Consumption Value by Application (2021-2032)
  • 8.3 Asia-Pacific AI Large model All-in-One Machine Market Size by Region
    • 8.3.1 Asia-Pacific AI Large model All-in-One Machine Consumption Value by Region (2021-2032)
    • 8.3.2 China AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 8.3.3 Japan AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 8.3.4 South Korea AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 8.3.5 India AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 8.3.6 Southeast Asia AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 8.3.7 Australia AI Large model All-in-One Machine Market Size and Forecast (2021-2032)

9 South America

  • 9.1 South America AI Large model All-in-One Machine Consumption Value by Type (2021-2032)
  • 9.2 South America AI Large model All-in-One Machine Consumption Value by Application (2021-2032)
  • 9.3 South America AI Large model All-in-One Machine Market Size by Country
    • 9.3.1 South America AI Large model All-in-One Machine Consumption Value by Country (2021-2032)
    • 9.3.2 Brazil AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 9.3.3 Argentina AI Large model All-in-One Machine Market Size and Forecast (2021-2032)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI Large model All-in-One Machine Consumption Value by Type (2021-2032)
  • 10.2 Middle East & Africa AI Large model All-in-One Machine Consumption Value by Application (2021-2032)
  • 10.3 Middle East & Africa AI Large model All-in-One Machine Market Size by Country
    • 10.3.1 Middle East & Africa AI Large model All-in-One Machine Consumption Value by Country (2021-2032)
    • 10.3.2 Turkey AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 10.3.3 Saudi Arabia AI Large model All-in-One Machine Market Size and Forecast (2021-2032)
    • 10.3.4 UAE AI Large model All-in-One Machine Market Size and Forecast (2021-2032)

11 Market Dynamics

  • 11.1 AI Large model All-in-One Machine Market Drivers
  • 11.2 AI Large model All-in-One Machine Market Restraints
  • 11.3 AI Large model All-in-One Machine Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI Large model All-in-One Machine Industry Chain
  • 12.2 AI Large model All-in-One Machine Upstream Analysis
  • 12.3 AI Large model All-in-One Machine Midstream Analysis
  • 12.4 AI Large model All-in-One Machine Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    According to our (Global Info Research) latest study, the global AI Large model All-in-One Machine market size was valued at US$ 986 million in 2025 and is forecast to a readjusted size of US$ 4603 million by 2032 with a CAGR of 24.0% during review period.
    AI Large Model All-in-One Machines refer to integrated hardware–software systems designed to deploy, fine-tune, and run large language models (LLMs) and multimodal foundation models locally or within private networks. These systems typically bundle high-performance AI accelerators (GPU, NPU, or AI ASIC), optimized servers or edge appliances, pre-installed large models, inference and training frameworks, and management software. They are positioned as “plug-and-play” solutions for enterprises and government users seeking data sovereignty, low latency, and predictable costs compared with public cloud LLM services.
    The market sits at the intersection of AI infrastructure, enterprise AI platforms, and private AI deployment solutions. Demand is driven by regulated industries (finance, healthcare, government), large enterprises with proprietary data, and organizations adopting hybrid AI strategies. Compared with traditional AI servers, all-in-one machines emphasize ease of deployment, model readiness, and vertical-specific optimization, enabling faster time-to-value for generative AI applications.
    Hardware components account for the largest share of costs, particularly AI accelerators, high-bandwidth memory, and storage. Software licensing, model adaptation, and system integration services add incremental value and margin. Gross margins are typically higher than standard servers but lower than pure software platforms, often ranging from mid-20% to mid-40% depending on the degree of software bundling, proprietary optimization, and after-sales services.
    Key trends include localization of large models, vertical-specific pre-training, and tighter integration with enterprise IT and data governance frameworks. As enterprises seek alternatives to cloud-only AI, AI Large Model All-in-One Machines are expected to see robust growth, with competition shifting from pure hardware performance to ecosystem strength, model quality, and long-term total cost of ownership.
    This report is a detailed and comprehensive analysis for global AI Large model All-in-One Machine market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
    Key Features:
    Global AI Large model All-in-One Machine market size and forecasts, in consumption value ($ Million), 2021-2032
    Global AI Large model All-in-One Machine market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
    Global AI Large model All-in-One Machine market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
    Global AI Large model All-in-One Machine market shares of main players, in revenue ($ Million), 2021-2026
    The Primary Objectives in This Report Are:
    To determine the size of the total market opportunity of global and key countries
    To assess the growth potential for AI Large model All-in-One Machine
    To forecast future growth in each product and end-use market
    To assess competitive factors affecting the marketplace
    This report profiles key players in the global AI Large model All-in-One Machine market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Baidu, iFLYTEK, ChinaSoft International, H3C, ArcherDT, Lenovo, Dell, etc.
    This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
    Market segmentation
    AI Large model All-in-One Machine market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
    Market segment by Type
    Business to Business
    Business to Consumer
    Government to Business
    Market segment by Business & Delivery
    Licensed Product
    SaaS/Subscription
    Integration Services
    OEM/ODM
    Ecosystem Marketplace
    Market segment by Hardware Architecture
    CPU+GPU
    AI Accelerators
    Heterogeneous Compute
    Cloud+Edge
    Rack-Server
    Market segment by Application
    Government Affairs
    Public Security
    Education
    Medical Care
    Meteorological
    Others
    Market segment by players, this report covers
    Baidu
    iFLYTEK
    ChinaSoft International
    H3C
    ArcherDT
    Lenovo
    Dell
    Market segment by regions, regional analysis covers
    North America (United States, Canada and Mexico)
    Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
    South America (Brazil, Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
    The content of the study subjects, includes a total of 13 chapters:
    Chapter 1, to describe AI Large model All-in-One Machine product scope, market overview, market estimation caveats and base year.
    Chapter 2, to profile the top players of AI Large model All-in-One Machine, with revenue, gross margin, and global market share of AI Large model All-in-One Machine from 2021 to 2026.
    Chapter 3, the AI Large model All-in-One Machine competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
    Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
    Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Large model All-in-One Machine market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
    Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
    Chapter 12, the key raw materials and key suppliers, and industry chain of AI Large model All-in-One Machine.
    Chapter 13, to describe AI Large model All-in-One Machine research findings and conclusion.

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