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Explosive Growth on Machine Learning Market CAGR of +44% by 2022: According to a New Report by Global Industry Analysts

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The machine learning market size is expected to grow from USD 1.41 Billion in 2017 to USD 9.81 Billion by 2025,at a Compound Annual Growth Rate (CAGR) of +44%.

PUNE, MAHARASHTRA, INDIA, April 15, 2018 /EINPresswire.com/ -- Our analysts forecast the Global Machine Learning Market to grow at a CAGR of +44% during the period 2018-2025.

Machine learning is a branch of artificial intelligence that enables machine to develop the ability for self-learning and adaption through experience without being explicitly programmed. It is considered as a method of data analysis that automates analytical model building. Machine learning have been present from decades but not been widely used due to lack of big data it requires for processing. Over the last several decades, enterprises have depended greatly on analytics to provide them with competitive advantage and enable them to be more effective. But, enterprises now want real time analytics and the capability to transform data into actionable insight.

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In the deployment mode segment, the cloud deployment mode is expected to hold the largest market share and grow at the highest CAGR during the forecast period. Flexibility, automated software updates, disaster recovery through cloud-based backup systems, increased collaboration, monitoring document version control, and data loss prevention with robust cloud storage facilities are some of the crucial benefits that have resulted in the adoption of cloud-based delivery models for machine learning software solutions and services. In the organization size segment, the large enterprises segment is expected to have the largest market share, whereas the SMEs segment is expected to grow at the highest CAGR during the forecast period. The rapidly emerging and highly active SMEs have increased the adoption of machine learning solutions and services globally, as a result of the growing digitization and increased cyber risks to critical business information and data.

Key Players Profiled in this Report:
International Business Machines Corporation, Microsoft Corporation, SAP SE, Sas Institute Inc., Amazon Web Services, Inc., Bigml Inc., Google Inc., Fair Isaac Corporation, Baidu Inc., Hewlett Packard Enterprise Development Lp, Intel Corporation, H2o.ai.

Regions Covered:
United States, EU, Japan, China, India, Southeast Asia.

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The report, focuses on the Global Machine Learning market, and answers some of the most critical questions stakeholders are currently facing across the globe. Information about the size of the market (by the end of the forecast year), companies that are most likely to scale up their competitive abilities, leading segments, and challenges impeding the growth of the market are given.

The cost analysis of the Global Machine Learning market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as industrial chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market.

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Table of Contents

Global Machine Learning Market Research Report 2018

Chapter 1 Global Machine Learning Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Machine Learning 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 Machine Learning 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

The report also looks into influential external factors likely to affect the development of the Machine Learning market in the coming years. These include the technological framework of the industry and likely advances expected in the coming years, consumer preference patterns, economic environment, and the demand for alternative technologies and devices. The report presents studied 2018-2025 forecasts for this market.

Jones John
QY Reports
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