Machine learning refers to the artificial intelligence software which predicts the outputs without any explicit program. Instead of supervising the unsupervised program, machine learning learns from the environment and generates data accordingly. It is widely being used for predictive analysis, face recognition, big data analysis and other applications. Many companies are adopting machine learning to enhance their productivity and operational efficiency.
This report on the global machine learning as a service market provides analysis for the period 2015–2025, wherein 2016 is the base year and the period from 2017 to 2025 is the forecast period. Data for 2015 has been included as historical information. The report covers market dynamics including drivers, restraints opportunities, and trends expected to influence the global ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be ... Read more
The machine learning as a service market has been segmented on the basis of deployment type and end use application. Based on deployment type, the market has been further classified into public cloud and private cloud. By end use application, the market is further classified into manufacturing, retail, healthcare & life sciences, telecom, BFSI and others (energy & utilities, education, government etc.)
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be ... Read more
The 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. ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be incrementing at an ... Read more
The analyst of the TMR publication has notified for a fairly consolidated competitive landscape in the global machine learning as a service market, with leading three companies, viz. Microsoft Corporation, Amazon Web Services, and IBM Corporation collectively held more than 73% of the total shares as of 2016. This being said, a number of regional players have mushroomed in the ... Read more
The analyst of the TMR publication has notified for a fairly consolidated competitive landscape in the global machine learning as a service market, with leading three companies, viz. Microsoft Corporation, Amazon Web Services, and IBM Corporation collectively held more than 73% of the total shares as of 2016. This being said, a number of regional players have mushroomed in the ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be incrementing at an ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be incrementing at an ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be incrementing at an ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be incrementing at an ... Read more
The global machine vision technology market features an intensely competitive landscape with the presence of several global as well as regional players, finds Transparency Market Research (TMR). Technology developers are focused on research and development of cutting-edge machine learning technologies to bring innovations in the market. Numerous top players are engaged in constantly ... Read more
Machine learning has become a disruptive trend in the technology industry with computers learning to accomplish tasks without being explicitly programmed. The manufacturing industry is relatively new to the concept of machine learning. Machine learning is well aligned to deal with the complexities of the manufacturing industry. ... Read more
The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualization, application program interface (API), natural language processing (NLP), face recognition, deep leaning, and predictive analytics. This zest is turning into a boon for the global machine learning as a service (MLaaS) market, in which the demand will be ... Read more
Machine learning as a service (MLaaS) helps organizations leverage machine learning capabilities without having to build and maintain required infrastructure and resources in-house. MLaaS can be used to develop intelligent applications for various tasks including computer vision, natural language processing, forecasting, predictive analytics, and others with simple API calls. The MLaaS tools help automate repetitive data science tasks and scale machine learning models easily. ... Read more
