Bharat Book Bureau Provides the Trending Market Research Report on“Global Automated Machine Learning Market 2022-2028”under Services Market Research Report Category. The report offers a collection of superior Market research, Market analysis, competitive intelligence and Market reports.

Executive Summary
 The Global Automated Machine Learning Market stood at USD 638 million. Recording a CAGR of 37.6% from 2022 to 2028, the worth is projected to reach ~USD 6,326 million by 2028.

The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global automated machine learning market. It traces the market’s historic and forecast market growth. The report identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches. This study also provides an analysis of the impact of the COVID-19 crisis on the automated machine learning industry.

This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the solution, automation type, end user, and region. The global market for automated machine learning can be segmented by solution: on premise, cloud. Among these, the on premise segment was accounted for the highest revenue generator in 2021. Automated machine learning market is further segmented by automation type: data processing, feature engineering, modeling, visualization. The visualization segment is estimated to account for the largest share of the global automated machine learning market. Based on end user, the automated machine learning market is segmented into: financial, retail, medical, industrial, others. The financial segment held the largest share of the global automated machine learning market in 2021 and is anticipated to hold its share during the forecast period. On the basis of region, the automated machine learning market also can be divided into: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America. In 2021, North America made up the largest share of revenue generated by the automated machine learning market.

Market Segmentation
By solution: on premise, cloud
By automation type: data processing, feature engineering, modeling, visualization
By end user: financial, retail, medical, industrial, others
By region: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America

The market research report covers the analysis of key stake holders of the global automated machine learning market. Some of the leading players profiled in the report include Amazon Web Services Inc., Dataiku Inc., Datarobot Inc., Google LLC, IBM Corporation, Microsoft Corporation, SAS Institute Inc., among others.

Historical & Forecast Period
This research report provides analysis for each segment from 2018 to 2028 considering 2021 to be the base year.

Scope of the Report
- To analyze and forecast the market size of the global automated machine learning market.
- To classify and forecast the global automated machine learning market based on solution, automation type, end user, region.
- To identify drivers and challenges for the global automated machine learning market.
- To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global automated machine learning market.
- To identify and analyze the profile of leading players operating in the global automated machine learning market.

Why Choose This Report
- Gain a reliable outlook of the global automated machine learning market forecasts from 2022 to 2028 across scenarios.
- Identify growth segments for investment.
- Stay ahead of competitors through company profiles and market data.
- The market estimate for ease of analysis across scenarios in Excel format.
- Strategy consulting and research support for three months.
- Print authentication provided for the single-user license.

Browse our full report with Table of Content : https://www.bharatbook.com/report/1388917/global-automated-machine-learning-market

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