Global Automated Machine Learning (AutoML) Market Size Study & Forecast, by Offering, Application, Vertical and Regional Forecasts 2025-2035

June 2025 | 285 pages | ID: GA54F2D0361BEN
Bizwit Research & Consulting LLP

Abstracts

The Global Automated Machine Learning (AutoML) Market is valued at approximately USD 1.45 billion in 2024 and is expected to expand at an exponential CAGR of more than 44.60% over the forecast period 2025-2035. As industries strive to scale AI-powered insights without being encumbered by the limitations of human-intensive data science, AutoML has surfaced as a transformative technology, dramatically streamlining the end-to-end machine learning lifecycle. By abstracting the complexity of model building—from preprocessing to algorithm selection, training, hyperparameter tuning, and deployment—AutoML democratizes AI, enabling even non-experts to operationalize data at scale. This paradigm shift has catalyzed adoption across a swath of sectors, fueling the demand for customizable, scalable, and low-code/no-code machine learning platforms.

The growth trajectory of the AutoML market is propelled by an increasing need for predictive analytics, rapid digitalization, and the rising pressure on enterprises to reduce time-to-value in AI projects. Businesses across finance, retail, manufacturing, and healthcare are embracing AutoML solutions to harness data-driven decision-making with precision and speed. The technology’s capability to automate repetitive, technical processes and generate high-performing models using minimal manual intervention not only reduces overhead but enhances innovation cycles. Meanwhile, advancements in explainable AI and integration with cloud-native environments further reinforce the credibility and usability of AutoML platforms. Features such as feature engineering, model ensembling, and adaptive learning have become critical enablers for institutions seeking AI scalability with reduced dependency on scarce data science talent.

Regionally, North America is projected to dominate the global AutoML market in 2025, primarily due to its early adoption of AI, concentration of cloud infrastructure, and presence of tech giants leading the AutoML innovation wave. The United States, home to several AI unicorns and prominent cloud service providers, represents the epicenter of deployment across industries. On the other hand, Asia Pacific is poised for the fastest growth during the forecast period, attributed to increasing digitization efforts, expanding AI policy frameworks, and rising startup ecosystems in countries like China, India, Japan, and South Korea. Meanwhile, Europe’s growth is being bolstered by strong R&D initiatives, growing emphasis on AI ethics and transparency, and supportive funding programs from the European Commission.

Major market player included in this report are:

• Google LLC
• Amazon Web Services
• Microsoft Corporation
• DataRobot Inc.
• IBM Corporation
• H2O.ai
• Salesforce Inc.
• RapidMiner Inc.
• BigML Inc.
• dotData Inc.
• SAS Institute Inc.
• KNIME AG
• TIBCO Software Inc.
• Baidu Inc.
• Pecan AI

Global Automated Machine Learning (AutoML) Market Report Scope:

• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast period – 2025-2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope – Free report customization (equivalent up to 8 analysts’ working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Offering:

• Solutions
• Services

By Application:

• Data Processing
• Model Selection
• Hyperparameter Optimization & Tuning
• Feature Engineering
• Model Ensembling

By Vertical:

• BFSI
• Retail & E-Commerce
• Healthcare & Life Sciences
• Manufacturing
• Government & Public Sector
• Energy & Utilities
• Transportation & Logistics
• Others

By Region:

North America

• U.S.
• Canada

Europe

• UK
• Germany
• France
• Spain
• Italy
• ROE

Asia Pacific

• China
• India
• Japan
• Australia
• South Korea
• RoAPAC

Latin America

• Brazil
• Mexico

Middle East & Africa

• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.

Contents

CHAPTER 1. GLOBAL AUTOMATED MACHINE LEARNING (AUTOML) MARKET REPORT SCOPE & METHODOLOGY

1.1. Research Objective
1.2. Research Methodology
  1.2.1. Forecast Model
  1.2.2. Desk Research
  1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
  1.4.1. Market Definition
  1.4.2. Market Segmentation
1.5. Research Assumption
  1.5.1. Inclusion & Exclusion
  1.5.2. Limitations
  1.5.3. Years Considered for the Study

CHAPTER 2. EXECUTIVE SUMMARY

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

CHAPTER 3. GLOBAL AUTOML MARKET FORCES ANALYSIS

3.1. Market Forces Shaping the Global AutoML Market (2024–2035)
3.2. Drivers
  3.2.1. Rising Demand for Predictive Analytics and Rapid Digitalization
  3.2.2. Need to Reduce Time-to-Value in AI Deployments
3.3. Restraints
  3.3.1. Data Privacy, Security and Regulatory Compliance Challenges
  3.3.2. High Implementation Costs and Technical Integration Complexity
3.4. Opportunities
  3.4.1. Expansion into Emerging Markets and Industry Verticals
  3.4.2. Growth of Explainable AI and Cloud-Native Integrations

CHAPTER 4. GLOBAL AUTOML INDUSTRY ANALYSIS

4.1. Porter’s Five Forces Model
  4.1.1. Bargaining Power of Buyers
  4.1.2. Bargaining Power of Suppliers
  4.1.3. Threat of New Entrants
  4.1.4. Threat of Substitutes
  4.1.5. Competitive Rivalry
4.2. Porter’s Five Forces Forecast Model (2024–2035)
4.3. PESTEL Analysis
  4.3.1. Political
  4.3.2. Economic
  4.3.3. Social
  4.3.4. Technological
  4.3.5. Environmental
  4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024–2025)
4.7. Global Pricing Analysis and Trends (2025)
4.8. Analyst Recommendations & Conclusion

CHAPTER 5. GLOBAL AUTOML MARKET SIZE & FORECASTS BY OFFERING 2025–2035

5.1. Market Overview
5.2. Solutions
  5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  5.2.2. Market Size Analysis, by Region, 2025–2035
5.3. Services
  5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  5.3.2. Market Size Analysis, by Region, 2025–2035

CHAPTER 6. GLOBAL AUTOML MARKET SIZE & FORECASTS BY APPLICATION 2025–2035

6.1. Market Overview
6.2. Data Processing
  6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  6.2.2. Market Size Analysis, by Region, 2025–2035
6.3. Model Selection
  6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  6.3.2. Market Size Analysis, by Region, 2025–2035
6.4. Hyperparameter Optimization & Tuning
  6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  6.4.2. Market Size Analysis, by Region, 2025–2035
6.5. Feature Engineering
  6.5.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  6.5.2. Market Size Analysis, by Region, 2025–2035
6.6. Model Ensembling
  6.6.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
  6.6.2. Market Size Analysis, by Region, 2025–2035

CHAPTER 7. GLOBAL AUTOML MARKET SIZE & FORECASTS BY REGION 2025–2035

7.1. Global Market, Regional Snapshot
7.2. Top Leading & Emerging Countries
7.3. North America AutoML Market
  7.3.1. U.S. AutoML Market
    7.3.1.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.3.1.2. Application Breakdown Size & Forecasts, 2025–2035
  7.3.2. Canada AutoML Market
    7.3.2.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.3.2.2. Application Breakdown Size & Forecasts, 2025–2035
7.4. Europe AutoML Market
  7.4.1. UK AutoML Market
    7.4.1.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.1.2. Application Breakdown Size & Forecasts, 2025–2035
  7.4.2. Germany AutoML Market
    7.4.2.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.2.2. Application Breakdown Size & Forecasts, 2025–2035
  7.4.3. France AutoML Market
    7.4.3.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.3.2. Application Breakdown Size & Forecasts, 2025–2035
  7.4.4. Spain AutoML Market
    7.4.4.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.4.2. Application Breakdown Size & Forecasts, 2025–2035
  7.4.5. Italy AutoML Market
    7.4.5.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.5.2. Application Breakdown Size & Forecasts, 2025–2035
  7.4.6. Rest of Europe AutoML Market
    7.4.6.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.4.6.2. Application Breakdown Size & Forecasts, 2025–2035
7.5. Asia Pacific AutoML Market
  7.5.1. China AutoML Market
    7.5.1.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.1.2. Application Breakdown Size & Forecasts, 2025–2035
  7.5.2. India AutoML Market
    7.5.2.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.2.2. Application Breakdown Size & Forecasts, 2025–2035
  7.5.3. Japan AutoML Market
    7.5.3.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.3.2. Application Breakdown Size & Forecasts, 2025–2035
  7.5.4. Australia AutoML Market
    7.5.4.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.4.2. Application Breakdown Size & Forecasts, 2025–2035
  7.5.5. South Korea AutoML Market
    7.5.5.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.5.2. Application Breakdown Size & Forecasts, 2025–2035
  7.5.6. Rest of APAC AutoML Market
    7.5.6.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.5.6.2. Application Breakdown Size & Forecasts, 2025–2035
7.6. Latin America AutoML Market
  7.6.1. Brazil AutoML Market
    7.6.1.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.6.1.2. Application Breakdown Size & Forecasts, 2025–2035
  7.6.2. Mexico AutoML Market
    7.6.2.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.6.2.2. Application Breakdown Size & Forecasts, 2025–2035
7.7. Middle East & Africa AutoML Market
  7.7.1. UAE AutoML Market
    7.7.1.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.7.1.2. Application Breakdown Size & Forecasts, 2025–2035
  7.7.2. Saudi Arabia AutoML Market
    7.7.2.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.7.2.2. Application Breakdown Size & Forecasts, 2025–2035
  7.7.3. South Africa AutoML Market
    7.7.3.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.7.3.2. Application Breakdown Size & Forecasts, 2025–2035
  7.7.4. Rest of Middle East & Africa AutoML Market
    7.7.4.1. Offering Breakdown Size & Forecasts, 2025–2035
    7.7.4.2. Application Breakdown Size & Forecasts, 2025–2035

CHAPTER 8. COMPETITIVE INTELLIGENCE

8.1. Top Market Strategies
8.2. Google LLC
  8.2.1. Company Overview
  8.2.2. Key Executives
  8.2.3. Company Snapshot
  8.2.4. Financial Performance (Subject to Data Availability)
  8.2.5. Product/Services Portfolio
  8.2.6. Recent Developments
  8.2.7. Market Strategies
  8.2.8. SWOT Analysis
8.3. Amazon Web Services
8.4. Microsoft Corporation
8.5. DataRobot Inc.
8.6. IBM Corporation
8.7. H2O.ai
8.8. Salesforce Inc.
8.9. RapidMiner Inc.
8.10. BigML Inc.
8.11. dotData Inc.
8.12. SAS Institute Inc.
8.13. KNIME AG
8.14. TIBCO Software Inc.
8.15. Baidu Inc.
8.16. Pecan AI

List Of Tables

LIST OF TABLES

Table 1. Global AutoML Market, Report Scope
Table 2. Global AutoML Market Estimates & Forecasts by Region 2024–2035
Table 3. Global AutoML Market Estimates & Forecasts by Offering 2024–2035
Table 4. Global AutoML Market Estimates & Forecasts by Application 2024–2035
Table 5. Global AutoML Market Estimates & Forecasts by Vertical 2024–2035
Table 6. U.S. AutoML Market Estimates & Forecasts, 2024–2035
Table 7. Canada AutoML Market Estimates & Forecasts, 2024–2035
Table 8. UK AutoML Market Estimates & Forecasts, 2024–2035
Table 9. Germany AutoML Market Estimates & Forecasts, 2024–2035
Table 10. France AutoML Market Estimates & Forecasts, 2024–2035
Table 11. Spain AutoML Market Estimates & Forecasts, 2024–2035
Table 12. Italy AutoML Market Estimates & Forecasts, 2024–2035
Table 13. Rest of Europe AutoML Market Estimates & Forecasts, 2024–2035
Table 14. China AutoML Market Estimates & Forecasts, 2024–2035
Table 15. India AutoML Market Estimates & Forecasts, 2024–2035
Table 16. Japan AutoML Market Estimates & Forecasts, 2024–2035
Table 17. Australia AutoML Market Estimates & Forecasts, 2024–2035
Table 18. South Korea AutoML Market Estimates & Forecasts, 2024–2035
Table 19. Brazil AutoML Market Estimates & Forecasts, 2024–2035
Table 20. Mexico AutoML Market Estimates & Forecasts, 2024–2035
Table 21. UAE AutoML Market Estimates & Forecasts, 2024–2035
Table 22. Saudi Arabia AutoML Market Estimates & Forecasts, 2024–2035
Table 23. South Africa AutoML Market Estimates & Forecasts, 2024–2035
Table 24. Rest of Middle East & Africa AutoML Market Estimates & Forecasts, 2024–2035

List Of Figures

LIST OF FIGURES

Fig 1. Global AutoML Market, Research Methodology
Fig 2. Global AutoML Market, Market Estimation Techniques
Fig 3. Global Market Size Estimates & Forecast Methods
Fig 4. Global AutoML Market, Key Trends 2025
Fig 5. Global AutoML Market, Growth Prospects 2024–2035
Fig 6. Global AutoML Market, Porter’s Five Forces Model
Fig 7. Global AutoML Market, PESTEL Analysis
Fig 8. Global AutoML Market, Value Chain Analysis
Fig 9. AutoML Market by Offering, 2025 & 2035
Fig 10. AutoML Market by Application, 2025 & 2035
Fig 11. AutoML Market by Vertical, 2025 & 2035
Fig 12. North America AutoML Market, 2025 & 2035
Fig 13. Europe AutoML Market, 2025 & 2035
Fig 14. Asia Pacific AutoML Market, 2025 & 2035
Fig 15. Latin America AutoML Market, 2025 & 2035
Fig 16. Middle East & Africa AutoML Market, 2025 & 2035
Fig 17. Global AutoML Market, Company Market Share Analysis (2025)