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市場調查報告書
商品編碼
2052717
自動化機器學習市場：按應用、交付方式、產業和地區分類Automated Machine Learning Market, By Application, By Offering, By Vertical, By Geography |
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2026年，自動化機器學習市場規模估計為69億美元，預計2033年將達到1,105.6億美元。預計從2026年到2033年，該市場將以48.6%的複合年成長率成長。
| 報告範圍 | 報告詳情 | ||
|---|---|---|---|
| 基準年： | 2025 | 2026年市場規模： | 69億美元 |
| 歷史數據時期： | 2020年至2024年 | 預測期： | 2026年至2033年 |
| 2026年至2033年預測期間的複合年成長率： | 48.60% | 2033年市場規模預測： | 1105.6億美元 |
近年來，在人工智慧 (AI) 和數據分析興起的推動下，自動化機器學習市場經歷了顯著成長。自動化機器學習利用先進的演算法和技術，以極少的人工干預即可建構、測試和部署機器學習模型。這使得企業無需具備高級數學或程式設計專業知識，即可在各種應用場景中使用機器學習。自動化機器學習平台實現了端到端模型開發生命週期的自動化，而傳統方法則需要進行大規模資料處理、特徵工程和超參數調優。這使得機器學習技術更容易被更廣泛的使用者群體所接受，加速了人工智慧在各行業的應用。由於自動化機器學習有助於緩解人工智慧領域的人才短缺問題，並使複雜的機器學習流程變得高效且可擴展，預計該市場將繼續保持強勁成長動能。
市場動態
自動化機器學習市場成長的關鍵促進因素包括各行業對高階資料分析的需求不斷成長、機器學習專家日益短缺，以及簡化人工智慧驅動型應用和服務部署的必要性。然而，挑戰依然存在，例如當前自動化機器學習技術在滿足複雜的企業需求方面存在局限性，以及基於不足資料訓練的模型存在偏差風險。另一方面，雲端機器學習平台的日益普及以及自動化機器學習與垂直行業軟體的整合，正在創造盈利機會。此外，人工智慧即服務 (AaaS) 解決方案的日益普及以及邊緣運算的興起，也進一步推動了市場需求。
本研究的主要特點：
本報告對全球自動化機器學習市場進行了詳細分析，以 2025 年為基準年，給出了預測期（2026-2033 年）的市場規模和複合年成長率。
本報告指出了各個細分市場的潛在商機，並說明了該市場中具有吸引力的投資提案矩陣。
此外，本研究還深入分析了市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域展望以及主要參與者採取的競爭策略。
本研究根據以下參數對全球自動化機器學習市場的主要參與者進行了分析：公司概況、產品系列、主要亮點、財務表現和策略。
本調查涵蓋的主要公司包括 IBM、Oracle、微軟、ServiceNow、Google、百度、Alteryx、Salesforce、H2O.ai、Dataiku、阿里雲、Akkio、dotData、SparkCognition 和 Mathworks。
透過利用本報告中提出的見解，企業行銷負責人和經營團隊可以就未來的產品發布、產品升級、市場擴張和行銷策略做出明智的決策。
這份全球自動化機器學習市場報告的目標受群眾外包括產業內的各種相關人員，例如投資者、供應商、產品製造商、經銷商、新參與企業和金融分析師。
透過分析全球自動化機器學習市場中使用的各種策略矩陣，相關人員將能夠更輕鬆地做出決策。
目錄
第1章：研究目標與前提條件
- 分析目的
- 先決條件
- 簡稱
第2章 市場展望
- 報告說明
- 市場定義和範圍
- 執行摘要
第3章：市場動態、監管與趨勢分析
- 市場動態
- 影響分析
- 主要亮點
- 監管趨勢
- 產品上市及核准
- PEST分析
- 波特的分析
- 併購情景
- 產業趨勢
第4章：自動化機器學習市場：依應用領域分類，2021-2033年
- 資料處理
- 特徵工程
- 模型選擇
- 模型集合
- 其他
第5章：自動化機器學習市場：依產品/服務分類，2021-2033年
- 解決方案
- 服務
第6章：自動化機器學習市場：依產業分類，2021-2033年
- BFSI
- 零售與電子商務
- 醫療保健和生命科學
- 資訊科技與資訊科技服務
- 其他
第7章 全球自動化機器學習市場：依地區分類，2021-2033年
- 北美洲
- 美國
- 加拿大
- 拉丁美洲
- 巴西
- 阿根廷
- 墨西哥
- 其他拉丁美洲國家
- 歐洲
- 德國
- 英國
- 西班牙
- 法國
- 義大利
- 俄羅斯
- 其他歐洲國家
- 亞太地區
- 中國
- 印度
- 日本
- 澳洲
- 韓國
- ASEAN
- 其他亞太國家
- 中東
- 海灣合作理事會國家
- 以色列
- 其他中東國家
- 非洲
- 南非
- 北非
- 中非
第8章 競爭情勢
- IBM
- Oracle
- Microsoft
- ServiceNow
- Baidu
- Alteryx
- Salesforce
- H2O.ai
- Dataiku
- Alibaba Cloud
- Akkio
- dotData
- SparkCognition
- Mathworks
第9章 分析師建議
- 機會分析
- 分析師意見
- Coherent Opportunity Map
第10章 參考文獻與調查方法
- 參考
- 調查方法
- 關於本公司
Automated Machine Learning Market is estimated to be valued at USD 6.90 Bn in 2026 and is expected to reach USD 110.56 Bn by 2033, growing at a compound annual growth rate (CAGR) of 48.6% from 2026 to 2033.
| Report Coverage | Report Details | ||
|---|---|---|---|
| Base Year: | 2025 | Market Size in 2026: | USD 6.90 Bn |
| Historical Data for: | 2020 To 2024 | Forecast Period: | 2026 To 2033 |
| Forecast Period 2026 to 2033 CAGR: | 48.60% | 2033 Value Projection: | USD 110.56 Bn |
The automated machine learning market has seen significant growth in recent years driven by the rise of artificial intelligence and data analytics. Automated machine learning utilizes advanced algorithms and technologies to build, test and deploy machine learning models with minimum human intervention. It helps organizations leverage machine learning across various use cases without having expertise in advanced mathematics or programming. Automated ML platforms automate the end-to-end model development lifecycle which traditionally require extensive data processing, feature engineering and hyperparameter tuning. This has made machine learning technologies accessible to a wider audience and accelerates the adoption of AI across industries. The market is expected to continue its robust expansion as automated machine learning assists in tackling the talent crunch in AI fields and makes complex machine learning processes efficient and scalable.
Market Dynamics
The key factors fueling the growth of the automated machine learning market include the rising demand for advanced data analytics across sectors, growing shortage of machine learning experts, and the need for simplified deployment of AI-driven applications and services. However, limitations of current automated ML technologies in handling complex enterprise requirements and the risks of bias in models trained on insufficient data pose challenges. On the other hand, the growing adoption of cloud-based machine learning platforms and the integration of automated ML in vertical software are creating lucrative opportunities. Additionally, the increasing availability of AI-as-a-service solutions and the advent of edge computing boost the demand.
Key features of the study:
This report provides in-depth analysis of the global automated machine learning market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2026-2033), considering 2025 as the base year.
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
It profiles key players in the global automated machine learning market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies.
Key companies covered as a part of this study include IBM, Oracle, Microsoft, ServiceNow, Google, Baidu, Alteryx, Salesforce, H2O.ai, Dataiku, Alibaba Cloud, Akkio, dotData, SparkCognition, and Mathworks.
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
The global automated machine learning market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global automated machine learning market.
Market Segmentation
- By Application Insights (Revenue, USD Bn, 2021 - 2033)
- Data Processing
- Feature Engineering
- Model Selection
- Model Ensembling
- Others
- By Offering Insights (Revenue, USD Bn, 2021 - 2033)
- Solution
- Services
- By Vertical Insights (Revenue, USD Bn, 2021 - 2033)
- BFSI
- Retail & E-commerce
- Healthcare & Life Sciences
- IT & Ites
- Others
- Regional Insights (Revenue, USD Bn, 2021 - 2033)
- North America
- U.S.
- Canada
- Latin America
- Brazil
- Argentina
- Mexico
- Rest of Latin America
- Europe
- Germany
- U.K.
- Spain
- France
- Italy
- Russia
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- ASEAN
- Rest of Asia Pacific
- Middle East
- GCC Countries
- Israel
- Rest of Middle East
- Africa
- South Africa
- North Africa
- Central Africa
- Key Players Insights
- IBM
- Oracle
- Microsoft
- ServiceNow
- Baidu
- Alteryx
- Salesforce
- H2O.ai
- Dataiku
- Alibaba Cloud
- Akkio
- dotData
- SparkCognition
- Mathworks
Table of Contents
1. Research Objectives and Assumptions
- Research Objectives
- Assumptions
- Abbreviations
2. Market Purview
- Report Description
- Market Definition and Scope
- Executive Summary
- Automated Machine Learning Market, By Application
- Automated Machine Learning Market, By Offering
- Automated Machine Learning Market, By Vertical
- Automated Machine Learning Market, By Region
3. Market Dynamics, Regulations, And Trends Analysis
- Market Dynamics
- Impact Analysis
- Key Highlights
- Regulatory Scenario
- Product Launches/Approvals
- PEST Analysis
- PORTER's Analysis
- Merger and Acquisition Scenario
- Industry Trends
4. Automated Machine Learning Market, By Application, 2021 - 2033, (USD Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2022 - 2033
- Segment Trends
- Data Processing
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Feature Engineering
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Model Selection
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Model Ensembling
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Others
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
5. Automated Machine Learning Market, By Offering, 2021 - 2033, (USD Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2022 - 2033
- Segment Trends
- Solution
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Services
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
6. Automated Machine Learning Market, By Vertical, 2021 - 2033, (USD Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2022 - 2033
- Segment Trends
- BFSI
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Retail & E-commerce
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Healthcare & Life Sciences
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- IT & ITeS
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
- Others
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (USD Bn)
7. Global Automated Machine Learning Market, By Region, 2021 - 2033, Value (USD Bn)
- Introduction
- Market Share (%) Analysis, 2026, 2028 & 2033, Value (USD Bn)
- Market Y-o-Y Growth Analysis (%), 2022 - 2033, Value (USD Bn)
- Regional Trends
- North America
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country, 2021 - 2033, Value (USD Bn)
- U.S.
- Canada
- Latin America
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country, 2021 - 2033, Value (USD Bn)
- Brazil
- Argentina
- Mexico
- Rest of Latin America
- Europe
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country, 2021 - 2033, Value (USD Bn)
- Germany
- U.K.
- Spain
- France
- Italy
- Russia
- Rest of Europe
- Asia Pacific
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country, 2021 - 2033, Value (USD Bn)
- China
- India
- Japan
- Australia
- South Korea
- ASEAN
- Rest of Asia Pacific
- Middle East
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country, 2021 - 2033, Value (USD Bn)
- GCC Countries
- Israel
- Rest of Middle East
- Africa
- Introduction
- Market Size and Forecast, By Application, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Offering, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Vertical, 2021 - 2033, Value (USD Bn)
- Market Size and Forecast, By Country/Region, 2021 - 2033, Value (USD Bn)
- South Africa
- North Africa
- Central Africa
8. Competitive Landscape
- IBM
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Oracle
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Microsoft
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- ServiceNow
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Google
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Baidu
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Alteryx
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Salesforce
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- H2O.ai
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Dataiku
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Alibaba Cloud
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Akkio
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- dotData
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- SparkCognition
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- Mathworks
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
9. Analyst Recommendations
- Wheel of Fortune
- Analyst View
- Coherent Opportunity Map
10. References and Research Methodology
- References
- Research Methodology
- About us
2026年全球對抗性學習市場報告
全球醫療、法律和監管 (MLR) 審查軟體市場：按組件、部署模式、組織規模、功能和審查內容類型分類－市場規模、產業趨勢、機會分析及 2026 年至 2035 年預測
2026-2030年全球機械客戶市場
機器學習維運（MLops）：市場佔有率分析、產業趨勢與統計、成長預測（2026-2031）人工智慧和機器學習：雲端人工智慧人工智慧與機器學習：雲端人工智慧市場數據概覽：2026年第二季度人工智慧和機器學習：邊緣人工智慧AI和機器學習：TinyMLAI和機器學習：個人和商用設備人工智慧與機器學習：TinyML 市場數據概覽：2026 年第二季度