The Business Research Company’s global market reports are now updated with the latest market sizing information for the year 2023 and forecasted to 2032

The worldwide automated machine learning (AutoML) market is projected to expand from $0.77 billion in 2022 to $1.15 billion in 2023, with a 45% CAGR. By 2027, the AutoML market is forecasted to reach $5.03 billion, growing at a 44.6% CAGR.

What will drive the automated machine learning (AutoML) market?

The increasing demand for advanced fraud detection solutions will drive the automated machine learning (AutoML) market’s future growth.

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Who are the major players in the market?

Major players in the automated machine learning (AutoML) market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation.

Which trend is gaining popularity in the automated machine learning (AutoML) market?

Technological advancements are a prominent trend in the automated machine learning (AutoML) market. Leading companies in this market are embracing innovative technologies to maintain their market standing.

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How is the automated machine learning (AutoML) market segmented?

Global Automated Machine Learning (AutoML) Market Segments Include:

• By Offering: Solutions, Services
• By Deployment: Cloud, On-Premises
• By Enterprise: Small And Medium Enterprise, Large Enterprise
• By Application: Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization And Tuning, Model Assembling, Other Applications
• By End User: Banking, Financial Services And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Other End Users
• By Geography: The market is segmented into North America, South America, Asia-Pacific, Eastern Europe, Western Europe, Middle East and Africa. Among these regions, North America is the largest region in the global automated machine learning (AutoML) market in 2021.

The Automated Machine Learning (AutoML) Global Market Report 2023  provides an overview of the automated machine learning (AutoML) market for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The automated machine learning (AutoML) market forecast analyzes automated machine learning (AutoML) market size, automated machine learning (AutoML) market share, leading competitor and their market positions.

AutoML streamlines the machine learning process by automating model selection, composition, and parameterization, simplifying it and often yielding quicker and more precise results than manually coded algorithms.

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