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(India.CityRegions.Com, May 18, 2018 ) The global machine learning market is estimated to grow at a CAGR of 49.7% during the forecast period 2017 – 2025 and accounts for US$ 39.98 Bn in the year 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 depend greatly on analytics to provide them with competitive advantage and enable them to be more effective. But, enterprises now wants real time analytics and the capability to transform data into actionable insight. With the universality of data and the apparently vast scalability of cloud-based compute power, machine learning has become a huge trend across industries from last two years. Most of the pilot projects have been conducted in the year 2015 and the industry has started the adopting the real machine learning application in year 2016.
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Machine learning market segmentation is done on the basis of solution, deployment type and end-user. Furthermore, the end-users segment have been subdivided on the basis of machine learning applications for each end-user. The solution segment of machine learning market is bifurcated into software and services. The deployment type for machine learning is also bifurcated into cloud or machine learning as a service (MLaaS) market and on-premise machine learning market. The end-users segment for machine learning market include BFSI, retail, government, healthcare, manufacturing and others. For each of the end-user sector, machine learning has unique and different subset of applications. Fraud & Risk Management, Predictive Customer Analytics, Algorithm Trading, and Others are the applications covered under the BFSI sector. Customer Experience & Insight, Supply & Demand Planning, and Others applications are used for machine learning in the retail sector. Under the Healthcare sector, the machine learning applications include Diagnosis and Treatment Systems, Image Analytics & Diagnosis, and Others. Also, for the manufacturing sector, the machine learning applications have been bifurcated into Predictive Maintenance and Supply Chain Management. The applications of machine learning for Government sector have been segmented into Fraud & Improper Payments and Public Safety & Security. On the basis of geography, the Machine Learning market is analyzed into North America, Europe, Asia- Pacific (APAC), Middle East & Africa (MEA) and South America (SAM).
Mobility as a Service Ease of deployment and pay per usage are the major drivers towards the high growth of cloud/MLaaS across all regions. Large enterprises has to process a large amount of data using cloud computing and hence cloud/MLaaS are considered as the most preferred mode of deployment of machine learning services. Cloud/MLaaS offers the enterprise with a wide range of machine learning services with cost effective and easy deployment manner. It provides the enterprise an easy access to various specialized tools such as customer analytics, chatbots, and public safety & security are among others. Cloud based MSS provides the businesses with the shifting of IT expenses to operating expenditure rather than capital expenditure and provides an opportunity to leverage advanced machine learning capabilities. Some of the global key players operating in the machine learning market are Google, Inc., Amazon Web Services, Inc., SAS Institute Inc., IBM Corporation and Microsoft Corporation. Also, Fair Isaac Corporation, Hewlett Packard Enterprise, SAP SE, BigML, Inc., and H2O.ai are other key companies in the machine learning market.
The List of Companies
1. Amazon Web Services, Inc. 2. Fair Isaac Corporation 3. Google, Inc. 4. Hewlett Packard Enterprise 5. IBM Corporation 6. Microsoft Corporation 7. SAP SE 8. BigML, Inc. 9. H2O.ai 10. SAS Institute Inc.
Table of Contents
1 Table of Contents 2 1.1 List of Tables 11 1.2 List of Figures 14 2 Introduction 19 2.1 Scope of the Study 19 2.2 The Insight Partners Research Report Guidance 19 3 Key Takeaways 21 4 Machine Learning Market Landscape 24 4.1 Market Overview 24 4.2 Market Segmentation 25 4.2.1 Global Machine Learning Market – By Solution 26 4.2.2 Global Machine Learning Market – By Deployment Type 27 4.2.3 Global Machine Learning Market – By End-User 27 4.2.4 Global Machine Learning Market – By Geography 28 4.3 PEST Analysis 29 4.4 PEST Analysis 29 4.4.1 North America PEST Analysis 29 4.4.2 Europe PEST Analysis 32 4.4.3 Asia Pacific PEST Analysis 35 4.4.4 Middle East & Africa PEST Analysis 37 4.4.5 South America PEST Analysis 40 5 Global Market – Key Industry Dynamics 42 5.1 Key Market Drivers 42 5.1.1 Availability of massive amount of data 42 5.1.2 Demand for superior customer service, efficient operations and improve sales revenue 42 5.2 Key Market Restraints 43 5.2.1 Rising concerns regarding data security and governance 43 5.2.2 Lack of cloud infrastructure in third world countries 43 5.3 Key Market Opporunities 44 5.3.1 Rising adoption of cloud-based machine learning computing 44 5.4 Future Trends 44 5.4.1 Adoption of robotic process automation 44 5.5 Impact Analysis of Drivers and Restraints 45 6 Machine Learning Market – Global 46 6.1 Global Machine Learning Market Overview 46 6.2 Global Machine Learning Market Forecast and Analysis 46 7 Global Machine Learning Market Analysis – By Solution 48 7.1 Overview 48 7.2 Software 49 7.2.1 Overview 49 7.2.2 Global Software Market Revenue and Forecasts to 2025 (US$ Mn) 49 7.3 Services 51 7.3.1 Overview 51 7.3.2 Service Market Revenue and Forecasts to 2025 (US$ Mn) 51 8 Global Machine Learning Market Analysis – By Deployment Type 53 8.1 Overview 53 8.2 Cloud/MLaaS 54 8.2.1 Overview 54 8.2.2 Global Cloud/MLaaS Market Revenue and Forecasts to 2025 (US$ Mn) 54 8.3 On-premise 56 8.3.1 Overview 56 8.3.2 On-Premise Market Revenue and Forecasts to 2025 (US$ Mn) 56 9 Global Machine Learning Market Analysis – By End-User 58 9.1 Overview 58 9.2 BFSI 59 9.2.1 Overview 59 9.2.2 Global BFSI Market Revenue and Forecasts to 2025 (US$ Mn) 59 9.2.3 Machine Learning Market Breakdown by BFSI 60 9.2.3.1 Risk Management Compliance 61 9.2.3.1.1 Overview 61 9.2.3.1.2 Global Risk Management Compliance Market Revenue and Forecasts to 2025 (US$ Mn) 61 9.2.3.2 Predictive Customer Analytics 62 9.2.3.2.1 Overview 62 9.2.3.2.2 Global Predictive Customer Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 62 9.2.3.3 Algorithm Trading 63 9.2.3.3.1 Overview 63 9.2.3.3.2 Global Algorithm Trading Market Revenue and Forecasts to 2025 (US$ Mn) 64 9.2.3.4 Others 64 9.2.3.4.1 Overview 64 9.2.3.4.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 64 9.3 Retail 66 9.3.1 Overview 66 9.3.2 Global Retail Market Revenue and Forecasts to 2025 (US$ Mn) 66 9.3.3 Machine Learning Market Breakdown by Retail 67 9.3.3.1 Customer Experience & Insight 68 9.3.3.1.1 Overview 68 9.3.3.1.2 Global Customer Experience & Insight Market Revenue and Forecasts to 2025 (US$ Mn) 68 9.3.3.2 Supply & Demand Planning 69 9.3.3.2.1 Overview 69 9.3.3.2.2 Global Supply & Demand Planning Market Revenue and Forecasts to 2025 (US$ Mn) 69 9.3.3.3 Others 70 9.3.3.3.1 Overview 70 9.3.3.3.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 70 9.4 Healthcare 72 9.4.1 Overview 72 9.4.2 Global Healthcare Market Revenue and Forecasts to 2025 (US$ Mn) 72 9.4.3 Machine Learning Market Breakdown by Healthcare 73 9.4.3.1 Diagnosis and Treatment Systems 74 9.4.3.1.1 Overview 74 9.4.3.1.2 Global Diagnosis and Treatment Systems Market Revenue and Forecasts to 2025 (US$ Mn) 74 9.4.3.2 Image Analytics & Diagnosis 75 9.4.3.2.1 Overview 75 9.4.3.2.2 Global Image Analytics & Diagnosis Market Revenue and Forecasts to 2025 (US$ Mn) 76 9.4.3.3 Others 76 9.4.3.3.1 Overview 76
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The Insight Partners
Sameer Joshi
+91 9666111581
sam@theinsightpartners.com
Source: EmailWire.Com
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