The Machine Learning Market 2024 Report makes available the current and future technical and financial analysis of the industry. It is one of the most comprehensive and important additions to the USD Analytics archive of market research studies. It offers detailed research and analysis of key aspects of the global Machine Learning market. This global report explores the key factors affecting the growth of the dynamic Machine Learning market, including the demand-supply scenario, pricing structure, profit margins, SWOT, and value chain analysis.
The Global Machine Learning Market is estimated to be US$ 32.1 billion in 2023. It is poised to register 30.6% growth over the forecast period from 2023 to 2030 to reach US $ 208 billion in 2030.
Key Players in This Report Include:
Microsoft Corporation (United States), Sap SE (Germany), SAS Institute Inc. (United States), Amazon Web Services, Inc. (United States), Bigml, Inc. (Spain), Google Inc. (United States), Fair Isaac Corporation (United States), Baidu, Inc. (China), Hewlett Packard Enterprise Development (United States), Intel Corporation (United States), H2O.Ai, Inc. (United States)
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Machine Learning Market Overview in 2024
Machine learning is a subset of artificial intelligence. The concept developed from arithmetic learning and pattern recognition in artificial intelligence. It examines the construction and investigation of algorithms and makes predictions about data. Machine learning applications include email filtering, optical character recognition (OCR), intrusion detection, computer vision, and rank learning. Machine learning solutions are used extensively by companies worldwide to improve the customer experience and ROI and to achieve competitive advantages in business operations. In addition, machine learning applications in various industries are expected to grow exponentially in the coming years. Technological progress and proliferation in data generation are some of the main drivers for the market. Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR) solutions are expected to make a significant contribution to responding to the COVID-19 pandemic and to meet evolving challenges. The current situation due to the outbreak of the epidemic will inspire pharmaceutical companies and healthcare institutions to improve their R&D investment in AI. This is a core technology for enabling various initiatives. VR / AR can help with e-learning, for which demand will increase due to the closure of many schools and universities. In addition, VR / AR can also prove to be a valuable solution for providing remote support as it can help avoid unnecessary travel.
Market Segmentation and Scope:
by Type (Cloud, On-Premises), Application (SMEs, Large Enterprises), Components (Hardware, Software, Services), Industry Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government, Defense, Others), Service Type (Professional Services, Managed Services)
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The report covers the competitive analysis of the market. The report identifies the most promising growth opportunities across the 6 regions and 24 countries. This section exclusively shares insight into the growth strategies of the largest market share holders helping key players and new entrants understand the investment potential in the Global Machine Learning Market. It can be better employed by both traditional and new players in the industry for complete know-how of the market.
Regional Analysis:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Furthermore, the years considered for the study are as follows:
Historical year – 2018-2023
Base year – 2023
Forecast period – 2024 to 2032
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Major Highlights of TOC:
Chapter 1: Overview of the Global Machine Learning Market in 2024
1.1 Machine Learning Industry Analysis
1.2 Key Companies and Product Profiles
1.3 Machine Learning Market Segments
1.4 Industry Value Chain Analysis
1.5 Market Dynamics- Trends, Drivers, and Opportunities
1.6 Pricing Analysis
1.7 Porter’s Five Forces Analysis
1.8 SWOT Profile
1.9 Macro-Economic and Demographic Impact Analysis
1.10 Scenario Analysis
Chapter 2: Global Machine Learning Demand Forecasts
2.1 Overview of the Segment
2.2 Global Historic Machine Learning Market Size (2018-2023) by Types, Applications, and Other Segments
2.3 Global Forecast Machine Learning Market Size (2024-2030) by Types, Applications, and Other Segments
Chapter 3: Segment-wise Machine Learning Market Forecasts
3.1 Key Market Segments
3.2 Premium Insights- Largest Types, Applications and Segments
3.3 Premium Insights- Most Lucrative Types, Applications, and Segments
Chapter 4: Machine Learning Market Outlook by Country
4.1 Machine Learning Market by Regions
4.2 Machine Learning Market Revenue Share by Region
4.3 North America (US, Canada, Mexico)
4.4 Europe (Germany, UK, France, Spain, Italy, Russia, Others)
4.5 Asia Pacific (China, Japan, India, South Korea, Australia, South East Asia, Others)
4.6 Latin America (Brazil, Argentina, Chile, Others)
4.7 Middle East and Africa (Saudi Arabia, UAE, Qatar, South Africa, Nigeria, Egypt, Others)
Player Analysis in Chapter Five
5.1 Players’ Market Share Analysis (2023)
5.2 Regional Market Concentration Rates
5.3 Business Profiles, SWOT Analysis, Financial Details, Product Portfolio of Companies
……….continued
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