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Machine Learning as a Service (MLaaS) Market Research Report 2022-2027

Looking forward, the machine learning as a service (MLaaS) value is projected to reach a strong growth during the forecast period (2022-2027).<br>More info:- https://www.imarcgroup.com/machine-learning-as-a-service-market<br>

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Machine Learning as a Service (MLaaS) Market Research Report 2022-2027

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  1. Global Machine Learning as a Service (MLaaS) Market Research Report 2022-2027 Author: Elena Anderson Marketing Manager Copyright © IMARC Service Pvt Ltd. All Rights Reserved IMARC Group © 2022 IMARC All Rights Reserved

  2. Report DescriptionAbout IMARC Group International Market Analysis Research and Consulting Group is a leading adviser on management strategy and market research worldwide. We partner with clients in all regions and industry verticals to identify their highest-value opportunities, address their most critical challenges, and transform their businesses. IMARC’s information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, chemicals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company’s expertise. IMARC’s tailored approach combines unfathomable insight into the dynamics of companies and markets with close cooperation at all levels of the client organization. This ensures that our clients achieve unmatchable competitive advantage, build more proficient organizations, and secure lasting results.

  3. Report Description and Highlights Report Description Global Machine Learning as a Service (MLaaS) Market Research Report 2022-2027: The latest report by IMARC Group, titled "Machine Learning as a Service (MLaaS) Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027," finds that the global machine learning as a service (MLaaS) market size reached US$ 3.90 Billion in 2021. Machine learning as a service, also known as MLaaS, is a wide array of machine learning (ML) tools offered by cloud service providers. Some commonly offered ML tools include data visualization, natural language processing (NLP), deep learning, predictive analytics, speech and face recognition, and application programming interfaces (APIs). It offers several benefits, such as cost-effective data storage, toolkits for setting up efficient data governance, and pre-made pipelines for data ingestion. It also eliminates infrastructural concerns, including data pre-processing, model training, model evaluation, and predictions. As a result, MLaaS is rapidly gaining traction among organizations and enterprises to meet the dynamic business requirements, such as personalizing search results and predicting product demand. Request for a PDF sample of this report: https://www.imarcgroup.com/machine-learning-as-a- service-market/requestsample

  4. Report Description and Highlights Report Description Global Machine Learning as a Service (MLaaS) Market Trends: The rising adoption of cloud-based solutions, the Internet of Things (IoT), and automation represents the primary factor driving the market growth. Besides this, the escalating demand for consumer behavior analysis and the surging need for MLaaS to organize the data efficiently have augmented the product demand. Additionally, enterprises are increasingly adopting MLaaS to design virtual assistants and chatbots, detect manufacturing defects for quality control, automate business documentation workflow, and handle NLP tasks. Along with this, the recent advancements in virtual technologies, such as virtual assistants, augmented reality (AR), smart storage management and logistics, have catalyzed the market growth. Furthermore, with significant developments in artificial intelligence (AI) and cognitive computing, several key players are making heavy investments to launch innovative ML-based solutions with enhanced accuracy and capabilities, thereby accelerating the product adoption rate. Other factors, including the shifting inclination toward personalization, rising information technology (IT) expenditure, emerging application areas, rapid digitization, and technological advancements, are also creating a favorable market outlook. Looking forward, IMARC Group expects the market value to reach US$ 25.67 Billion by 2027, growing at a CAGR of 36.80% during 2022-2027. View Report TOC, Figures and Tables: https://www.imarcgroup.com/machine-learning-as-a-service- market

  5. Report Description and Highlights Report Description Key Market Segmentation The research report includes the following segments: Breakup by Component: •Software •Services Breakup by Organization Size: •Small and Medium-sized Enterprises •Large Enterprises Breakup by Application: •Marketing and Advertising •Fraud Detection and Risk Management •Predictive Analytics •Augmented and Virtual Reality •Natural Language Processing •Computer Vision •Security and Surveillance •Others

  6. Report Description and Highlights Report Description Breakup by End User: •IT and Telecom •Automotive •Healthcare •Aerospace and Defense •Retail •Government •BFSI •Other Breakup by Region: •North America •Asia Pacific •Europe •Latin America •Middle East and Africa

  7. Report Description and Highlights Report Description Competitive Landscape with Key Players: •Amazon.com Inc. •Bigml Inc. •Fair Isaac Corporation •Google LLC (Alphabet Inc.) •H2O.ai Inc. •Hewlett Packard Enterprise Development LP •Iflowsoft LLC •International Business Machines Corporation •Microsoft Corporation •MonkeyLearn •Sas Institute Inc. •Yottamine Analytics Inc.

  8. Key Questions Answered in the Report Report Description 1. How has the global machine learning as a service (MLaaS) market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global machine learning as a service (MLaaS) market? What are the key regional markets? What is the breakup of the market based on the component? What is the breakup of the market based on the organization size? What is the breakup of the market based on the application? What is the breakup of the market based on the end user? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? 10. What is the structure of the global machine learning as a service (MLaaS) market and who are the key players? 11. What is the degree of competition in the industry? 2. 3. 4. 5. 6. 7. 8. 9.

  9. Report DescriptionTable of Contents 1 Preface 2 Scope and Methodology 2.1 Objectives of the Study 2.2 Stakeholders 2.3 Data Sources 2.3.1 Primary Sources 2.3.2 Secondary Sources 2.4 Market Estimation 2.4.1 Bottom-Up Approach 2.4.2 Top-Down Approach 2.5 Forecasting Methodology 3 Executive Summary 4 Introduction 4.1 Overview 4.2 Key Industry Trends 5 Global Machine Learning as a Service (MLaaS) Market 5.1 Market Overview 5.2 Market Performance 5.3 Impact of COVID-19 5.4 Market Forecast

  10. Report DescriptionTable of Contents 6 Market Breakup by Component 6.1 Software 6.1.1 Market Trends 6.1.2 Market Forecast 6.2 Services 6.2.1 Market Trends 6.2.2 Market Forecast 7 Market Breakup by Organization Size 7.1 Small and Medium-sized Enterprises 7.1.1 Market Trends 7.1.2 Market Forecast 7.2 Large Enterprises 7.2.1 Market Trends 7.2.2 Market Forecast 8 Market Breakup by Application 8.1 Marketing and Advertising 8.1.1 Market Trends Click here to visit the complete table of content with list of figures and tables: https://www.imarcgroup.com/machine-learning-as-a-service-market/toc

  11. We are the trusted business partners to the world's leading corporates, governments, and institutions Partial List of Clients A partial List of our Clients

  12. We are the trusted business partners to the world's leading corporates, governments, and institutions Partial List of Clients A partial List of our Clients

  13. Report Description and Highlights Report Description © 2022 IMARC All Rights Reserved This Publication and all it’s contents unless otherwise mentioned are copyrighted in the name of International Market Analysis Research and Consulting (IMARC). No part of this publication may be reproduced, repackaged, redistributed or resold in whole or in any part. The publication may also not be used in any form or by and means graphic electronic or mechanical, including photocopying, recording, taping or by information storage or retrieval, or by any other form, without the express consent of International Market Analysis Research and Consulting (IMARC). Disclaimer: All contents and data of this publication, including forecasts, data analysis and opinion have been based on information and sources believed to be accurate and reliable at the time of publishing. International Market Analysis Research and Consulting makes no representation of warranty of any kind as to the accuracy or completeness of any Information provided. IMARC accepts no liability whatsoever for any loss or damage resulting from opinion, errors or inaccuracies if any found this publication. IMARC, IMARC Group and Global Therapy Insight Series are registered trademarks of International Market Analysis Research and Consulting. All other trademarks used in this publication are registered trademarks of their respective companies.

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