FEB 27, 2020: The global Machine Learning market size is expected to reach USD 96.7 billion by 2025, according to a new report by Radiant Insights, Inc. The market is anticipated to expand at a CAGR of 43.8% from 2019 to 2025.
Production of massive amounts of data has increased the adoption of technologies that can provide a smart analysis of that data. Technologies such as Machine Learning (ML) are being rapidly adopted across various applications in order to automatically detect meaningful patterns within a data set. Software based on ML algorithms, such as search engines, anti-spam software, and fraud detection software, are being increasingly used, thereby contributing to market growth.
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The rapid emergence of ML technology has increased its adoption across various application areas. It provides cloud computing optimization along with intelligent voice assistance. In healthcare, it is used for the diagnosis of individuals. In case of businesses, the use of ML models that are open source and have a standards-based structure has increased in recent years. These models can be easily deployed in various business programs and can help companies bridge the skills gap between IT programmers and information scientists.
Developments such as fine-tuned personalization, hyper-targeting, searching engine optimization, no-code environment, self-learning bots, and others are projected to change the machine learning landscape. The development of capsule network has replaced neural networks in order to provide more accuracy in pattern detection, with fewer errors. These advanced developments are anticipated to proliferate market growth in the foreseeable future.
Further key findings from the report suggest:
- The emergence of connected AI is expected to enable ML algorithms to learn continuously based on newly available information. Such developments are anticipated to drive the market in the coming years
- The advertising and media sector accounted for the largest share in 2018 owing to capabilities such as buyer's optimization, data processing, and analysis provided by the technology
- H2O.ai announced a partnership with IBM Corporation, a multinational IT company, in June 2018. Through this partnership, H2O.ai will offer its GPU-powered machine learning, next-generation AI platform, and best-of-breed deep learning on IBM's Power Systems platform
- Key players in the machine learning market include Amazon Web Services, Inc.; Baidu Inc.; Google Inc.; H2O.ai; Hewlett Packard Enterprise Development LP; Intel Corporation; International Business Machines Corporation; Microsoft Corporation; SAS Institute Inc.; and SAP SE.
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Table of Contents
Chapter 1 Methodology and Scope
1.1 Market Segmentation & Scope
1.2 Market Definition
1.3 Information Procurement
1.4 Information Analysis
1.5 Market formulation & data visualization
1.5.1 Secondary sources & third-party perspectives
1.5.2 Primary research
1.6 Research Scope & Assumptions
Chapter 2 Executive Summary
2.1 Market Outlook
Chapter 3 Machine Learning Market Variables, Trends & Scope
3.1 Penetration & Growth Prospect Mapping
3.1.1 Market Growth Prospects
3.1.2 Market Penetration Mapping
3.2 Industry Value Chain Analysis
3.3 Market Dynamics
3.3.1 Market driver analysis
3.3.1.1 Increasing applications of ML algortihm
3.3.1.2 Rising adoption of advanced technologies
3.4 Market restraint analysis
3.4.1 Lack of skilled labor
3.5 Machine Learning Market Analysis Tools
3.5.1 Industry Analysis - Porter's
3.5.1.1 Supplier Power
3.5.1.2 Buyer Power
3.5.1.3 Substitution Threat
Chapter 4 Machine Learning Market: Component Movement Analysis
4.1 Machine Learning Market: Component Movement Analysis
4.1.1 Hardware
4.1.1.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
4.1.2 Software
4.1.2.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
4.1.3 Service
4.1.3.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
Chapter 5 Machine Learning Market: Enterprise Size Movement Analysis
5.1 Machine Learning Market: Enterprise Size Movement Analysis
5.1.1 SMEs
5.1.1.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
5.1.2 Large Enterprises
5.1.2.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
Chapter 6 Machine Learning: End-Use Estimates and Trend Analysis
6.1 Machine Learning Market: End-Use Movement Analysis
6.1.1 Healthcare
6.1.1.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
6.1.2 BFSI
6.1.2.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
6.1.3 Law
6.1.3.1 Global Market Estimates and Forecasts, from 2014 to 2025 (USD Million)
Continued………….
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The graph indicates the data from the past 30 days (July 2020) in the US and how the interest of people changes over time.
We can clearly see that Machine Learning is the most searched technology term in this duration.
Artificial intelligence (AI) is all set to enter the new year 2020 with greater might.
The new year heralds a paradigm shift for global business infrastructures with AI development services and emerging machine learning (ML) technologies.
At Oodles, we are looking forward to deploying machine learning techniques across wider business applications and processes.
Here are the upcoming machine-learning trends for 2020 encompassing on-premise and cloud machine learning solutions to augment global business infrastructures.
