Global Automated Machine Learning (AutoML) Markets, 2021-2030 – Increasing Preference For Cloud-Based AutoML Platform & Rising Importance of Effective Product Assortment

Dublin, Feb. 11, 2022 (GLOBE NEWSWIRE) — The “Automated Machine Learning Market Research Report – Global Industry Analysis and Growth Forecast to 2030” report has been added to’s providing. From $346.2 million in 2020, the automated machine studying market is predicted to achieve $14,830.8 million by 2030, demonstrating a CAGR of 45.6% from 2020 to 2030.
The main elements driving the market are the burgeoning requirement for environment friendly fraud detection options, hovering demand for personalised product suggestions, and growing want for predictive lead scoring.The COVID-19 pandemic has contributed considerably to the evolution of digital enterprise fashions, with many healthcare firms adopting machine-studying-enabled chatbots to allow the contactless screening of COVID-19 signs.
Moreover,, which is a France-based begin-up, and Amazon Web Services (AWS) have launched a chatbot for making the method of discovering official authorities communications concerning the COVID-19 an infection straightforward. Thus, the pandemic has positively impacted the market.The service class, underneath the providing section, is predicted to show the quicker development within the coming years. This is credited to the burgeoning requirement for implementation and integration, consulting, and upkeep providers, as they help in enhancing enterprise productiveness and augmenting coding actions. Additionally, these providers help in automating workflows, which, in flip, permits the mechanization of advanced operations.The cloud class dominated the AutoML market, inside the deployment sort section, previously. Moreover, this class is predicted to develop quickly within the forthcoming years on account of the flexibleness and scalability offered by cloud-based mostly automated machine studying (AutoML) options.Geographically, North America held the most important share previously, and this pattern is anticipated to proceed within the coming years. This is credited to the hovering enterprise capital funding by synthetic intelligence (AI) firms for analysis and growth (R&D), so as to advance AutoML.Asia-Pacific (APAC) is predicted to be the quickest-rising area available in the market within the forthcoming years. This is ascribed to the rising info know-how (IT) investments and growing fintech adoption within the area. In addition, the rising authorities give attention to incorporating AI in a number of verticals is supporting the advance of the market within the area.For occasion, in October 2021, Hivecell, which is an edge as a service firm, entered right into a partnership with DataRobot Inc. for fixing greater challenges and hurdles on the edge, by processing numerous ML fashions on web site and out of doors the information closet. By incorporating the 2 options, companies could make knowledge-pushed choices extra effectively.The main gamers within the AutoML market are DataRobot Inc., dotData Inc., Inc., Amazon Web Services Inc., Big Squid Inc., Microsoft Corporation, Inc., SAS Institute Inc., Squark, and EdgeVerve Systems Limited.Market Dynamics

Increasing Preference For Cloud-Based AutoML Platform


Increasing Demand For Efficient Fraud Detection Solutions
Growing Need For Personalized Product Recommendations
Rising Importance of Predictive Lead Scoring
Impact Analysis of Drivers On Market Forecast


Slow Adoption of AutoML In Developing Countries
Impact Analysis of Restraints On Market Forecast


Growing Healthcare Industry
Rising Importance of Effective Product Assortment

Impact of COVID-19
Porter’s Five Forces Analysis
Definition of Market Segments
By Offering


By Deployment Type

By Enterprise Size

By Application

Fraud Detection
Sales & Marketing Management
Medical Testing
Transport Optimization

By Industry

It & Telecom

Value Chain Analysis
Company Profiles

DataRobot Inc. Inc.
dotData Inc.
EdgeVerve Systems Limited
Amazon Web Services Inc.
Big Squid Inc.
SAS Institute Inc.
Microsoft Corporation Inc.

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