Automated Machine Learning Market Size, Trends & Growth by 2033

Research Methodology – Automated Machine Learning Market

At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Automated Machine Learning Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Automated Machine Learning Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share:

The total number of potential customers for Automated Machine Learning solutions in different industries.
The penetration rate of Automated Machine Learning technologies in different regions globally.
The average price of Automated Machine Learning solutions and the purchasing capabilities of potential customers.
Funds raised by companies that are involved in Automated Machine Learning technology and their spending on R&D activities.
Funding trends in the Automated Machine Learning market, both through venture capital and federal investment.
Number of new players entering the Automated Machine Learning market and the pace at which they are growing.

Key Market Indicators:

Growth in revenues of companies involved in Automated Machine Learning.
Industry growth trends in sectors where Automated Machine Learning is in use, such as finance, healthcare, retail, etc.
Global IT spending trends in the area of AI and machine learning.
Trends in investments and M&A activities related to the Automated Machine Learning solution providers.
The rate at which new technologies related to Automated Machine Learning, such as deep learning and natural language processing, are being adopted.
Trends in patent activity related to Automated Machine Learning.

Growth Trends:

Growth rates in adoption of Automated Machine Learning in various industries such as banking, manufacturing, healthcare sector etc.
Trends in the development of new Automated Machine Learning products, and advancement of existing products.
Near-term and long-term growth forecasts for the overall Automated Machine Learning market.
Trends in the geographical expansion of companies in the Automated Machine Learning market.
Growth of customer base and demand for Automated Machine Learning solutions.
Market trends related to the integration of Automated Machine Learning technologies with other cutting-edge technologies.

Secondary Research

Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Automated Machine Learning Market. Key inputs include:

Company-Level Information

Annual reports, investor presentations, SEC filings
Company press releases and product launch announcements
Public executive interviews and earnings calls
Strategy briefings and M&A updates

Industry and Government Sources

Country-level industry associations and trade bodies
Government dossiers, policy frameworks, and official releases
Whitepapers, working papers, and public R&D initiatives
Relevant Associations for the Automated Machine Learning Market

Market Intelligence Sources

Broker reports and financial analyst coverage
Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
Import/export trade data and tariff databases
Sector-specific journals, magazines, and news portals

Macro & Consumer Insights

Global macroeconomic indicators and their cascading effect on the industry
Demand–supply outlook and value chain analysis
Consumer behaviour, adoption rates, and commercialization trends

Primary Research

To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:

Expert Insights & KOL Engagements

Key Opinion Leader (KOL) Engagements
Structured interviews with executives, product managers, and domain experts
Paid and barter-based interviews across manufacturers, distributors, and end-users

Focused Discussions & Panels

Discussions with stakeholders to validate demand-supply gaps
Group discussions on emerging technologies, regulatory shifts, and adoption barriers

Data Validation & Business POV

Cross-verification of market sizing and forecasts with industry insiders
Capturing business perspectives on growth opportunities and restraints

Data Triangulation & Forecasting

The final step of our research involves data triangulation ensuring accuracy through cross-verification of:

Demand-side analysis (consumption patterns, adoption trends, customer spending)
Supply-side analysis (production, capacity, distribution, and market availability)
Macroeconomic & microeconomic impact factors

Forecasting is carried out using proprietary models that combine: