Machine Learning is a part of Artificial Intelligence (AI) that grants computers the capability to learn without being detailed programmed. It mainly focuses on the advancement of the computers programs that can be switch when exposed to new data. It helps the computer to find the hidden insights without being explicitly programmed where to look. It has multiple uses in today’s technology market concerning with safety and security such as face detection, face recognition, Image classification, Speech recognition, antivirus , Google, antispam, genetic, signal diagnosing , whether forecast and many more.
The factors that promotes the growth of machine learning are its diverse application and its ability to learn and solve real life problems from data. The market of machine learning is gearing up with an accelerating pace from diagnosing disease to driving cars to stopping crimes. With the growth of digital marketing industry which represents exciting one in it arenas, where machine learning is applied.
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Market Players & Competitive Analysis:
- Google Inc. (U.S.),
- Facebook (U.S), ,
- IBM Watson (U.S.),
- Baidu (China),
- Apple (U.S)
- Microsoft (U.S.)
- Nuance Communications (U.S.)
- Amazon (U.S)
- Intel (U.S.).
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.
Detailed 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.
The worldwide machine learning market has been divided into 5 distinct parts that include, applications, components, services, organization sizes & regions.
On the basis of applications, the market is divided into BSFI, automotive, healthcare & government.
On account of components, the market has been segmented into cloud, web-based APIs & software tools.
The services segment can be further bifurcated into professional services & managed services. Out of the two managed services section is estimated to grow tremendously over the forecast period. It is because managed service suppliers can look after all the hardware & software functions. With them all the organizations can be at peace as they only need to install & update applications.
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- Cloud service providers
- Telecommunication Companies
- Investors and consultants
- Research/Consultancy firms
- Technology solution providers
- Safety & Security Providers
TABLE OF CONTENTS
1 MARKET INTRODUCTION
1.2 SCOPE OF STUDY
1.2.1 RESEARCH OBJECTIVE
1.3 MARKET STRUCTURE
2 RESEARCH METHODOLOGY
2.1 RESEARCH NETWORK COMPONENTS
2.2 PRIMARY RESEARCH
2.3 SECONDARY RESEARCH
2.4 FORECAST MODEL
2.4.1 MARKET DATA COLLECTION, ANALYSIS & FORECAST
2.4.2 MARKET SIZE ESTIMATION
3 MARKET DYNAMICS
3.2 MARKET DRIVERS
3.3 MARKET CHALLENGES
3.4 MARKET OPPORTUNITIES
3.5 MARKET RESTRAINTS
4 EXECUTIVE SUMMARY
5. MARKET FACTOR ANALYSIS
5.1 PORTER’S FIVE FORCES ANALYSIS
5.2 SUPPLY CHAIN ANALYSIS
6 MACHINE LEARNING MARKET, BY SEGMENTS
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
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