Machine Learning Market Analysis by Size, Revenue, Growth, Key Growth Drivers, Challenges, Demand and Upcoming Trends

Machine Learning Market Analysis by Size, Revenue, Growth, Key Growth Drivers, Challenges, Demand and Upcoming Trends

Machine Learning Market
Machine Learning Market, By Components (Software Tools, Cloud and web-based APIs), By Service, (Professional services, Managed services), By Application (BFSI, Healthcare, Government, Automotive), By Organization Size (Small and Medium Enterprises (SMEs), Large enterprises) – Global Forecast 2022

Market Highlights

Machine learning is a branch of artificial intelligence (AI) that uses statistical techniques for analytical model building that imparts the computers with the ability to learn from data instead of being explicitly programmed to carry out certain operations. As per the report that has been recently published by Market Research Future (MRFR), the global machine learning market is anticipated to project remarkable growth in the coming years.

The increasing demand for machine learning in various industrial sectors to enhance customer experience and gain a competitive edge in the market is majorly driving the global machine learning market towards rapid expansion. The blistering pace of adoption of artificial intelligence in multiple sectors such as automotive, healthcare, BSFI, government, and others have led to the rise in demand for machine learning services in the global market. The development in the application of machine learning in the manufacturing industry is creating large opportunity for the machine learning service providers, resulting in the growth of the global machine learning market.

The inclination towards adoption of advanced analytics technology and widespread application of machine learning services in various industrial verticals is impacting positively on the expansion of the global machine learning market. The rapid development in the field of artificial intelligence and constant upgrades in cloud solutions is creating traction for machine learning services in the global market. The exponential rise in the application of machine learning in various industrial sectors is projected to fuel the expansion of the global machine learning market in the coming years.

However, the security threats due to increased system hacking activities, lack of skilled labor and less penetration of advanced technology in the underdeveloped regions are hindering the growth of the global machine learning market.

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Segmentation:

The global machine learning market has been segmented on the basis of component, service, organization size and application. Based on component, the machine learning market is segmented into software tools, cloud and web-based APIs, and others. Based on service, the machine learning market is segmented into professional services and managed services. Based on organization, the machine learning market is segmented into small and medium enterprises (SMEs) and large enterprises. Based on application, the machine learning market is segmented into BSFI, healthcare, government, automotive, education, media and entertainment, defense, telecom, retail and e-commerce, and others.

Regional Analysis:

Geographically, the global machine learning market is segmented into four major regions such as North America, Europe, Asia Pacific (APAC) and the rest of the world (RoW). Among these, the Europe region is anticipated to dominate the global machine learning market during the forecast period owing to the increased focus of startup companies on commercialization and innovation of artificial intelligence technology. The rapid technological development and increasing adoption of machine learning services in various industrial sectors are fueling the expansion of machine learning market in the North America region. The machine learning market in the Asia Pacific region is considered to be lucrative owing to the increasing investment for technological advancement and inclination towards the application of artificial intelligence technology in various industrial sectors in this region.

Competitive Analysis:

The global market for machine learning is highly competitive due to the increasing number of players that are introducing innovative technologies in this sector. The increased research and development expenditure by the prominent players for new product launch is aiding them in the expansion of their businesses.

On 19th July 2018, a study led by University of Plymouth (UK) has asserted that a new machine learning model that scans routinely collected National Health Service (NHS) data has projected promising indications of being able to predict undiagnosed dementia in primary care. This study has proved to be a pioneer in the advanced diagnosis of dementia with the help of machine learning.

Some of the leading players in the global machine learning market are Google Inc. (U.S.), Facebook (U.S), IBM Watson (U.S.), Baidu (China), Apple (U.S), Microsoft (U.S.), Cisco (U.S.), Wipro (India), and Nuance Communications (U.S.), Amazon (U.S), Intel (U.S.).  

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List of Tables

TABLE 1 MACHINE LEARNING MARKET, BY COMPONENTS

TABLE 2 MACHINE LEARNING MARKET, BY SERVICE

TABLE 3 MACHINE LEARNING MARKET, BY ORGANIZATION SIZE

TABLE 4 MACHINE LEARNING MARKET, BY REGION

TABLE 5 NORTH AMERICA MACHINE LEARNING MARKET, BY COMPONENTS

TABLE 6 NORTH AMERICA MACHINE LEARNING MARKET, BY SERVICE

TABLE 7 NORTH AMERICA MACHINE LEARNING MARKET, BY ORGANIZATION SIZE

TABLE 8 NORTH AMERICA MACHINE LEARNING MARKET, BY COUNTRY

TABLE 9 U.S. MACHINE LEARNING MARKET, BY COMPONENTS

TABLE 10 U.S. MACHINE LEARNING MARKET, BY SERVICE

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