Machine Learning Market Size, Share and Forecast 2032

The Automated Machine Learning (AutoML) Global Market Report 2023, provides comprehensive information on the automated machine learning (automl) market across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.

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The global automated machine learning (AutoML) market is expected to grow from $0.77 billion in 2022 to $1.15 billion in 2023 at a compound annual growth rate (CAGR) of 45%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and resulted in increased interest rates affecting many markets across the globe. The automated machine learning (AutoML) market is expected to reach $5.03 billion in 2027 at a CAGR of 44.6%.

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Technological innovations are a key trend gaining popularity in the automated machine learning (AutoML) market. Major companies operating in the automated machine learning (AutoML) market are adopting new technological innovations to sustain their position in the market. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company that provides automated machine learning (AutoML) platforms, launched the NIKO AutoML platform, an innovative machine-learning tool created to streamline and expedite the creation of prediction models. This platform offers various tools and functionalities, enabling users to swiftly and effortlessly create and deploy top-notch machine learning models without coding or data science expertise. The platform’s user interface helps users through every procedure stage, providing optimal results in a fraction of the time traditional approaches would take. NIKO AutoML offers several key benefits, including fast and accurate model creation, streamlined workflow, increased productivity, and cost-effectiveness.

The automated machine learning (automl) market is segmented:

1) By Offering: Solutions, Services

2) By Deployment: Cloud, On-Premises

3) By Enterprise: Small And Medium Enterprise, Large Enterprise

4) By Application: Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization And Tuning, Model Assembling, Other Applications

5) By End User: Banking, Financial Services And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Other End Users

North America was the largest region in the automated machine learning (automl) market in 2022.

The table of contents in TBRC’s automated machine learning (automl) market report includes:

1. Executive Summary
2. Automated Machine Learning (AutoML) Market Characteristics
3. Automated Machine Learning (AutoML) Market Trends And Strategies
4. Automated Machine Learning (AutoML) Market – Macro Economic Scenario
5. Global Automated Machine Learning (AutoML) Market Size and Growth

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32. Global Automated Machine Learning (AutoML) Market Competitive Benchmarking
33. Global Automated Machine Learning (AutoML) Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Automated Machine Learning (AutoML) Market
35. Automated Machine Learning (AutoML) Market Future Outlook and Potential Analysis
36. Appendix

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