Machine Learning Market - Global Market Analysis, Size, Share, Growth, Trends, and Forecast 2018 – 2025
The Insight Partners added “Global Nuclear Fuels Market Research Report 2018” to its vast collection of research Database. The report is spread across 124 pages and supported by 24 company leaders.
(EMAILWIRE.COM, October 25, 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.
New research report takes a close and analytical look at the various companies that strive for a higher share of the global Machine Learning market. Data on the leading and fastest-growing segments along with what drives them has been given. This report implements a balanced mix of primary and secondary research methodologies for its analysis. The market is segmented on the basis of key criteria. For this purpose, a section dedicated to company profiles has been included in the report.
Get Sample Copy of this Report @: http://bit.ly/2CCJPUo
Top Companies profiled in this report includes, 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.
The 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).
Get Reasonable Discount on this Report @ http://bit.ly/2EJ63Xq
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.
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.
New research report takes a close and analytical look at the various companies that strive for a higher share of the global Machine Learning market. Data on the leading and fastest-growing segments along with what drives them has been given. This report implements a balanced mix of primary and secondary research methodologies for its analysis. The market is segmented on the basis of key criteria. For this purpose, a section dedicated to company profiles has been included in the report.
Get Sample Copy of this Report @: http://bit.ly/2CCJPUo
Top Companies profiled in this report includes, 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.
The 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).
Get Reasonable Discount on this Report @ http://bit.ly/2EJ63Xq
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.
Contact Information:
The Insight Partners
Sameer Joshi
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results
The Insight Partners
Sameer Joshi
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results