2026-2030年全球模型服務平台市場
市場調查報告書
商品編碼
2030931

2026-2030年全球模型服務平台市場

Global Model Serving Platforms Market 2026-2030

出版日期: | 出版商: TechNavio | 英文 304 Pages | 訂單完成後即時交付

價格
簡介目錄

全球模特兒服務平台市場預計將從 2025 年到 2030 年成長至 154.334 億美元,預測期內複合年成長率為 43.3%。

本報告對全球模型服務平台市場進行了全面分析,包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。推動該市場發展的因素包括:生成式人工智慧的進步和大規模推理的自動化、邊緣人工智慧的普及和分散式推理架構的產業化、企業級MLOps的成長以及標準化模型管治。

本研究客觀地結合了一手和二手訊息,包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告同時呈現了歷史市場規模數據和預測市場規模數據。

市場範圍
基準年 2025
年末 2030
調查期 2026-2030
成長勢頭 加速度
與 2026 年相比 39.9%
複合年成長率 43.3%
增量 154.334億美元

本研究指出,低程式碼框架的採用和無程式碼模型的廣泛應用是未來幾年全球模型服務平台市場成長的關鍵促進因素。此外,高速互連的普及、1.6Terabit特級服務架構的湧現以及主權服務和在地化人工智慧管治的擴展,預計也將帶來顯著的市場需求。

目錄

第1章:執行摘要

第2章 Technavio 分析

  • 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
  • 輸入的重要性及差異化因素
  • 干擾因素
  • 促進因素和挑戰的影響

第3章 市場狀況

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場的定義
  • 市場區隔分析
  • 2025年市場規模
  • 市場展望,2025-2030年

第5章 市場規模與表現

  • 2020-2024年全球模型服務平台市場
  • 按類型分類的細分市場分析,2020-2024 年
  • 按部署方式分類的細分市場分析,2020-2024 年
  • 2020-2024 年最終用戶細分市場分析
  • 區域區隔市場分析,2020-2024 年
  • 2020-2024年各國細分市場分析

第6章 定性分析

  • 人工智慧的影響:全球模型服務平台市場
  • 地緣政治衝突的影響:服務於平台市場的全球模式

第7章:五力分析

第8章 市場區隔:依類型

  • 比較:按類型
  • 機器學習模型
  • 深度學習模型
  • 大規模語言模型
  • 市場機會:按類型分類

第9章 市場區隔:依部署方式

  • 比較:依部署方式
  • 現場
  • 市場機會:依發展階段分類

第10章 市場區隔:依最終用戶分類

  • 比較:按最終用戶
  • BFSI
  • 資訊科技/通訊
  • 衛生保健
  • 製造業
  • 其他
  • 市場機會:依最終用戶分類

第11章 客戶情況

第12章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非
    • 以色列
    • 土耳其
  • 南美洲
    • 巴西
    • 阿根廷
    • 智利
  • 市場機會:按地區分類

第13章 促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第14章 競爭格局

  • 概述
  • 競爭格局
  • 混亂局面
  • 產業風險

第15章 競爭分析

  • 公司簡介
  • 公司排名指標
  • 企業市場定位
  • Alibaba Cloud
  • Amazon.com Inc.
  • Baidu Inc.
  • Cloudera Inc.
  • Databricks Inc.
  • Dataiku Inc.
  • DataRobot Inc.
  • Google LLC
  • Hugging Face Inc.
  • IBM Corp.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • SAS Institute Inc.
  • TIBCO Software Inc.

第16章附錄

簡介目錄
Product Code: IRTNTR80694

The global model serving platforms market is forecasted to grow by USD 15433.4 mn during 2025-2030, accelerating at a CAGR of 43.3% during the forecast period. The report on the global model serving platforms market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increase of generative ai and large-scale inference automation, industrialization of edge ai deployment and distributed inference architectures, growth of enterprise mlops and standardized model governance.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202639.9%
CAGR43.3%
Incremental Value$15433.4 mn

Technavio's global model serving platforms market is segmented as below:

By Type

  • Machine learning models
  • Deep learning models
  • Large language models

By Deployment

  • Cloud
  • On premises

By End-User

  • BFSI
  • IT and telecom
  • Healthcare
  • Manufacturing
  • Others

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • South America
    • Brazil
    • Argentina
    • Chile
  • Rest of World (ROW)

This study identifies the institutionalization of low-code frameworks and no-code model deployment as one of the prime reasons driving the global model serving platforms market growth during the next few years. Also, proliferation of high-speed interconnects and 1.6-terabit serving architectures and expansion of sovereign serving and localized ai governance will lead to sizable demand in the market.

The report on the global model serving platforms market covers the following areas:

  • Global model serving platforms market sizing
  • Global model serving platforms market forecast
  • Global model serving platforms market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global model serving platforms market vendors that include Alibaba Cloud, Amazon.com Inc., Anyscale Inc., Baidu Inc., Cloudera Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., Domino Data Lab Inc., Google LLC, H2O.ai Inc., Hugging Face Inc., IBM Corp., Microsoft Corp., NVIDIA Corp., Oracle Corp., SAS Institute Inc., Seldon Technologies, Snowflake Inc., TIBCO Software Inc., Valohai Oy. Also, the global model serving platforms market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Type
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2025
  • 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

  • 5.1 Global Model Serving Platforms Market 2020 - 2024
    • Historic Market Size - Data Table on Global Model Serving Platforms Market 2020 - 2024 ($ million)
  • 5.2 Type segment analysis 2020 - 2024
    • Historic Market Size - Type Segment 2020 - 2024 ($ million)
  • 5.3 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.4 End-user segment analysis 2020 - 2024
    • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
  • 5.5 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.6 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of AI in global model serving platforms market
  • 6.2 Impact of geopolitical conflict for global model serving platforms market

7 Five Forces Analysis

  • 7.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 7.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 7.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 7.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 7.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 7.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 7.7 Market condition

8 Market Segmentation by Type

  • 8.1 Market segments
  • 8.2 Comparison by Type
  • 8.3 Machine learning models - Market size and forecast 2025-2030
  • 8.4 Deep learning models - Market size and forecast 2025-2030
  • 8.5 Large language models - Market size and forecast 2025-2030
  • 8.6 Market opportunity by Type
    • Market opportunity by Type ($ million)

9 Market Segmentation by Deployment

  • 9.1 Market segments
  • 9.2 Comparison by Deployment
  • 9.3 Cloud - Market size and forecast 2025-2030
  • 9.4 On premises - Market size and forecast 2025-2030
  • 9.5 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

10 Market Segmentation by End-user

  • 10.1 Market segments
  • 10.2 Comparison by End-user
  • 10.3 BFSI - Market size and forecast 2025-2030
  • 10.4 IT and telecom - Market size and forecast 2025-2030
  • 10.5 Healthcare - Market size and forecast 2025-2030
  • 10.6 Manufacturing - Market size and forecast 2025-2030
  • 10.7 Others - Market size and forecast 2025-2030
  • 10.8 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

11 Customer Landscape

  • 11.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

  • 12.1 Geographic segmentation
  • 12.2 Geographic comparison
  • 12.3 North America - Market size and forecast 2025-2030
    • 12.3.1 US - Market size and forecast 2025-2030
    • 12.3.2 Canada - Market size and forecast 2025-2030
    • 12.3.3 Mexico - Market size and forecast 2025-2030
  • 12.4 APAC - Market size and forecast 2025-2030
    • 12.4.1 China - Market size and forecast 2025-2030
    • 12.4.2 Japan - Market size and forecast 2025-2030
    • 12.4.3 India - Market size and forecast 2025-2030
    • 12.4.4 South Korea - Market size and forecast 2025-2030
    • 12.4.5 Australia - Market size and forecast 2025-2030
    • 12.4.6 Indonesia - Market size and forecast 2025-2030
  • 12.5 Europe - Market size and forecast 2025-2030
    • 12.5.1 Germany - Market size and forecast 2025-2030
    • 12.5.2 UK - Market size and forecast 2025-2030
    • 12.5.3 France - Market size and forecast 2025-2030
    • 12.5.4 Italy - Market size and forecast 2025-2030
    • 12.5.5 Spain - Market size and forecast 2025-2030
    • 12.5.6 The Netherlands - Market size and forecast 2025-2030
  • 12.6 Middle East and Africa - Market size and forecast 2025-2030
    • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
    • 12.6.2 UAE - Market size and forecast 2025-2030
    • 12.6.3 South Africa - Market size and forecast 2025-2030
    • 12.6.4 Israel - Market size and forecast 2025-2030
    • 12.6.5 Turkey - Market size and forecast 2025-2030
  • 12.7 South America - Market size and forecast 2025-2030
    • 12.7.1 Brazil - Market size and forecast 2025-2030
    • 12.7.2 Argentina - Market size and forecast 2025-2030
    • 12.7.3 Chile - Market size and forecast 2025-2030
  • 12.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

  • 13.1 Market drivers
    • Increase of generative AI and large-scale inference automation
    • Industrialization of edge AI deployment and distributed inference architectures
    • Growth of enterprise MLOps and standardized model governance
  • 13.2 Market challenges
    • Intensification of regulatory enforcement and algorithmic auditability
    • Escalation of inference cost and compute resource optimization
    • Technical friction of compound AI system orchestration
  • 13.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 13.4 Market opportunities
    • Institutionalization of low-code frameworks and no-code model deployment
    • Proliferation of high-speed interconnects and 1.6-terabit serving architectures
    • Expansion of sovereign serving and localized AI governance

14 Competitive Landscape

  • 14.1 Overview
  • 14.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 14.3 Landscape disruption
    • Overview on factors of disruption
  • 14.4 Industry risks
    • Impact of key risks on business

15 Competitive Analysis

  • 15.1 Companies profiled
    • Companies covered
  • 15.2 Company ranking index
    • Company ranking index
  • 15.3 Market positioning of companies
    • Matrix on companies position and classification
  • 15.4 Alibaba Cloud
    • Alibaba Cloud - Overview
    • Alibaba Cloud - Product / Service
    • Alibaba Cloud - Key offerings
    • SWOT
  • 15.5 Amazon.com Inc.
    • Amazon.com Inc. - Overview
    • Amazon.com Inc. - Business segments
    • Amazon.com Inc. - Key news
    • Amazon.com Inc. - Key offerings
    • Amazon.com Inc. - Segment focus
    • SWOT
  • 15.6 Baidu Inc.
    • Baidu Inc. - Overview
    • Baidu Inc. - Business segments
    • Baidu Inc. - Key news
    • Baidu Inc. - Key offerings
    • Baidu Inc. - Segment focus
    • SWOT
  • 15.7 Cloudera Inc.
    • Cloudera Inc. - Overview
    • Cloudera Inc. - Product / Service
    • Cloudera Inc. - Key offerings
    • SWOT
  • 15.8 Databricks Inc.
    • Databricks Inc. - Overview
    • Databricks Inc. - Product / Service
    • Databricks Inc. - Key offerings
    • SWOT
  • 15.9 Dataiku Inc.
    • Dataiku Inc. - Overview
    • Dataiku Inc. - Product / Service
    • Dataiku Inc. - Key offerings
    • SWOT
  • 15.10 DataRobot Inc.
    • DataRobot Inc. - Overview
    • DataRobot Inc. - Product / Service
    • DataRobot Inc. - Key offerings
    • SWOT
  • 15.11 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 15.12 Hugging Face Inc.
    • Hugging Face Inc. - Overview
    • Hugging Face Inc. - Product / Service
    • Hugging Face Inc. - Key offerings
    • SWOT
  • 15.13 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 15.14 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 15.15 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 15.16 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 15.17 SAS Institute Inc.
    • SAS Institute Inc. - Overview
    • SAS Institute Inc. - Product / Service
    • SAS Institute Inc. - Key offerings
    • SWOT
  • 15.18 TIBCO Software Inc.
    • TIBCO Software Inc. - Overview
    • TIBCO Software Inc. - Product / Service
    • TIBCO Software Inc. - Key offerings
    • SWOT

16 Appendix

  • 16.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 16.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 16.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 16.4 Research methodology
    • Research methodology
  • 16.5 Data procurement
    • Information sources
  • 16.6 Data validation
    • Data validation
  • 16.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 16.8 Data synthesis
    • Data synthesis
  • 16.9 360 degree market analysis
    • 360 degree market analysis
  • 16.10 List of abbreviations
    • List of abbreviations