Machine Learning as a Service (MLaaS) Market Expanding at a phenomenal CAGR of +37% between 2017 and 2025

Global Machine Learning as a Service (MLaaS) Market Report 2025,” global machine learning as a service (MLaaS) market is rising expeditiously mainly due to the Internet revolution. The process of connecting the world virtually has generated vast amount of data which is boosting the adoption of machine learning solutions. This is because deployment of machine learning improves the speed and accuracy of functions performed by the system. advanced analytics technologies from several industry verticals such as healthcare and life sciences, BFSI, retail, telecom, and manufacturing is contributing towards the growth of machine learning as a service market. Machine learning as a service solution are also adopted across industry verticals to enhance the decision-making capability of machines.

Global machine learning as a service market pegged an opportunity of US+$1 bn in 2016. Expanding at a phenomenal CAGR of +37% between 2017 and 2025, the market is expected to attain a value of US+$18 bn by the end of 2025.

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Comprehensive meetings were held with the prime members of the Machine Learning as a Service (MLaaS) market managers, market specialists, counselors and trend analysis. This is consolidated with the extensive use of capable subordinate sources like organization information bases and resources. At that point, functional disciplines like financial organization and coordination are explored to advance statistical surveying.

Some of the major players operating in the market: Microsoft, Amazon Web Services (AWS), Hewlett Packard Enterprises (HPE), Google, Inc., BigML Inc., FICO and IBM Corporation.

Six of the key geographies across of the world have been assessed in the report, viz. India, Japan, Southeast Asia, Europe, China, and North America. The progress of each of these countries and regions has been examined on the basis of share, price, local consumption, export, import, and local supply. Besides this, the report has provided a basic overview of all these geographies. The researchers have also discussed the development trend of the international Machine Learning as a Service (MLaaS) market while taking into account price, volume, and value forecast, product and application trends, and consumption in different geographical markets.

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Describing the competitive hierarchy in the global Machine Learning as a Service (MLaaS)market, the report profiles some of the key players operating in the market. Dynamic data about the noteworthy players including their financial overview, business segmentation, product portfolio, and revenue has been included in the report. Latest developments in the industry have been taken into deliberation while projecting the future stance of the market.

Table of Content:

Chapter 1 Machine Learning as a Service (MLaaS) Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

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