Machine Learning Market: Industry Analysis and Forecast (2021-2027) by Enterprise Size, Deployment, Industry, and Region.

Machine Learning Market size was valued at US$ 13.6 Bn. in 2020 and the total revenue is expected to grow at 46% through 2021 to 2027, reaching nearly US$ 192.54 Bn.

Machine Learning Market Overview:

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Corporations are offering machine learning solutions on a subscription-based model, making it convenient for consumers to take benefit of this technology. In addition, it provides flexibility on a pay-as-you-use basis. Machine learning algorithms use historical data as input to predict new output values. The main goal of machine learning is to allow computers to learn automatically without any human assistance or intervention and accordingly change their action. Several methods used in the machine learning process include supervised machine learning algorithms, unsupervised machine learning algorithms, semi-supervised machine learning algorithms, and reinforcement machine learning algorithms. Machine Learning Market To know about the Research Methodology :- Request Free Sample Report Though market forecasting through 2027 is based on real output, demand, and supply of 2020, 2020 numbers are also estimated on real numbers published by key players as well all-important players across the world. Market forecasting till 2027 is done based on past data from 2016 to 2019 with the impact of global lockdown on the market in 2020 and 2021.

Machine Learning Market Dynamics:

Machine intelligence integration with analytics-driven solutions is expected to be a developing industry trend. Significant expenditures in artificial intelligence and the introduction of self-driving automobiles. These factors are fuelling the growth of the machine learning market across industries and geographies. Machine Learning is in charge of reducing workload and time. The algorithm performs the hard job by automating things. It can process and evaluate data that standard systems cannot. The most crucial component of every Machine Learning model is data. These factors are driving the market growth. Machine learning advances have boosted robots' ability to contribute to applications such as drones and autonomous cars. Furthermore, the growing need for advanced robotic systems in numerous industries such as automotive, electronics, food and beverage, healthcare, and others has propelled the market growth. The need for electronic sensors, linked machines, and equipment in the sector is expected to expand significantly, owing to developments in network connectivity technologies. Self-driving cars use machine learning algorithms such as supervised learning, unsupervised learning, pattern recognition algorithms, and decision matrix algorithms, among others. The company plans to grow to additional locations and encounter new circumstances and things by using superior machine learning techniques. These factors are expected to increase demand for intelligent retrieval algorithms, driving the market growth.

Challenges:

The shortage of qualified people with analytical ability is a big difficulty that most firms confront when incorporating machine learning into their business processes, and the demand for those who can monitor analytical content is even larger. In Machine Learning, choosing an algorithm is still a manual process. All of the algorithms must run and test our data. After that, and only then, can we choose which algorithm we wish to use. The main issue arises during data training and testing. Because the data is so large, eliminating errors might be difficult. Machine intelligence in robotic automation processes is vulnerable to fraud and unintended uses, which could stymie business growth. Market trends and challenges are analyzed and compiled in the report. The data of 2020 is considered for a better understanding of the client. Moreover, Analytics of the market is based on real numbers of past years from 2016 to 2019 with market forecast until 2027.

Machine Learning Market Segment Analysis:

By Enterprise Size, Large enterprises dominated the market with a 65 % share in 2020. Artificial intelligence and data science are becoming more widely used to provide predictive insights into corporate processes. To generate high business value, large businesses are focusing on exploiting deep learning, machine learning, and decision optimization. Machine Learning has been widely used by several large corporations to extract required knowledge from large data sets and anticipate the outcomes of various challenges. Small and Medium Enterprises are expected to grow at a CAGR of 8 % through the forecast period. Machine learning is becoming increasingly popular among small and medium enterprises. Machine learning provides a simple and cost-effective deployment option. The availability of cloud, on-premise, and hybrid deployment options helps SMEs to easily scale up their growing pilot projects and artificial intelligence initiatives without having to make huge upfront investments. Rapidly evolving and highly active SMEs have boosted their adoption of these technologies as a result of expanding digitization and greater cyber threats to sensitive corporate information and data. These factors are expected to drive market growth. Machine Learning Market By Deployment, the cloud segment dominated the market with a 60 % share in 2020. Flexibility, automated software updates, disaster recovery through cloud-based backup systems, increased collaboration, monitoring document version control, and data loss prevention with robust cloud storage facilities are factors driving the market growth for machine learning software solutions and services. The cloud deployment mode is expected to hold the largest market share and grow at the 18 % CAGR during the forecast period in the machine learning market. Cloud-based software allows users to move from machine to deep learning, thereby driving adoption. On-premise is expected to grow at a CAGR of 7.3 % through the forecast period. Machine learning-optimized hardware is becoming more widely used. The adoption of hardware is being driven by the development of customized silicon chips with AI and ML capabilities. SambaNova Systems' development of more powerful processing devices is expected to propel the market even further. Machine Learning Market By Industry, In the COVID scenario, the introduction of wearable gadgets and sensors that can measure patients' health in real-time has sparked a spike in demand for machine intelligence applications in the healthcare business. Medical specialists can use the technology to spot trends and analyze data to improve diagnosis and treatment. Machine intelligence is used by banks and other financial institutions to avoid fraud and find key data insights. E-commerce has proven to be a key force in the retail trade industry. Machine intelligence is used by retailers to collect data, evaluate it, and use it to provide customers with individualized shopping experiences. These are some of the aspects that drive the demand for this technology in the financial and retail industries. The industrial industry had been displaying an impressive adoption of artificial intelligence technology during the COVID period. Industrial Internet of Things, smart factories with smart robotics, intelligent logistics, autonomous delivery using drones, and intelligent inventory management are just a few of the manufacturing industry's strong use cases for machine learning. In the following years, the automotive and transportation industries are expected to increase significantly. The demand for innovative solutions is driven by research and development in self-driving automobiles and autonomous transportation. The spread of over-the-top (OTT) services in the advertising and media industry has influenced OTT providers such as Netflix, Hotstar, and Amazon.com among others to deploy deep learning and machine intelligence to gain deep customer insights. Machine Learning Market

Machine Learning Market Regional Insights:

In 2020, the North American region dominated the market with a 32 % share. A strong innovation ecosystem, fuelled by smart federal investments in sophisticated technology, complemented by the presence of visionary scientists and entrepreneurs from around the world, as well as renowned research institutions, has accelerated the region's development. North America's market is expected to develop due to high investments and the availability of existing IT infrastructure. During the forecast period, Asia Pacific is expected to increase at a CAGR of 16 %. The region's expanding economies, such as China and the Philippines, have a thriving and dynamic start-up ecosystem, aided by an increasingly trained workforce and increased usage of machine learning in emerging countries with large talent pools, such as India. Consumers that are willing to explore AI-enabled services and solutions are expected to grow the regional market through the forecast period. The objective of the report is to present a comprehensive analysis of the Machine Learning market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the Machine Learning market dynamics, structure by analyzing the market segments and projecting the Machine Learning market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Machine Learning market make the report investor’s guide.

Machine Learning Market Scope: Inquire before buying

Global Machine Learning Market
Report Coverage Details
Base Year: 2020 Forecast Period: 2021-2027
Historical Data: 2016 to 2020 Market Size in 2020: US $ 13.6 Bn.
Forecast Period 2021 to 2027 CAGR: 46% Market Size in 2027: US $192.54 Bn.
Segments Covered: by Enterprise Size • Large Enterprise • Small and Medium Enterprise
by Deployment • Cloud • On premise
by Industry • Healthcare • BFSI • Manufacturing • Automotive • Others

Machine Learning Market, by Region

• North America • Europe • Asia Pacific • The Middle East and Africa • South America

Machine Learning Market Key Players

• Amazon Web Services, Inc. • Baidu, Inc. • Domino Data Lab, Inc. • Microsoft Corporation • Dataiku • Luminoso Technologies, Inc. • TrademarkVision • SAP SE • BigML, Inc. • Fair Isaac Corporation • Hewlett Packard Enterprise Development LP • Intel Corporation • IBM Corporation • KNIME.com AG • RapidMiner, Inc. • Angoss Software Corporation • H2O.ai • SAS Institute Inc. • Google, Inc. • Alpine Data 1] What segments are covered in the Machine Learning Market report? Ans. The segments covered in the Machine Learning Market report are based on Enterprise Size, Deployment, and Industry. 2] Which region is expected to hold the highest share in the Machine Learning Market? Ans. Asia Pacific Region is expected to hold the highest share in the Machine Learning Market. 3] What is the market size of Machine Learning Marketby2027? Ans. The market size of Machine Learning Marketby2027 is US $ 192.54 Bn. 4] Who are the top key players in the Machine Learning Market? Ans. Amazon Web Services, Inc., Baidu Inc., Domino Data Lab, Inc., Microsoft Corporation, Dataiku, Luminoso Technologies Inc., TrademarkVision, SAP SE, BigML Inc., Fair Isaac Corporation, Hewlett Packard Enterprise Development LP, Intel Corporation, IBM Corporation, KNIME.com AG, RapidMiner Inc., Angoss Software Corporation, H2O.ai, SAS Institute Inc., Google Inc., Alpine Data. 5] What was the market size of the Machine Learning Market in 2020? Ans. The market size of the Machine Learning Market in 2020 was US $ 13.6 Bn.
1. Preface 1.1. Market Definition and Key Research Objectives 1.2. Research Highlights 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Machine Learning Market Size, by Market Value (US$ Mn) 3.1. Market Segmentation 3.2. Market Segmentation Share Analysis, 2020 3.2.1. 3.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 3.3. Geographical Snapshot of the Machine Learning Market 3.4. Geographical Snapshot of the Machine Learning Market, By Manufacturer share 4. Machine Learning Market Overview, 2020-2027 4.1. Market Dynamics 4.1.1. Drivers 4.1.1.1. 4.1.1.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.2. Restraints 4.1.2.1. 4.1.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.3. Opportunities 4.1.3.1. 4.1.3.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.4. Challenges 4.1.4.1. 4.1.4.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.5. Industry Trends and Emerging Technologies 4.1.6. Porters Five Forces Analysis 4.1.6.1. Threat of New Entrants 4.1.6.2. Bargaining Power of Buyers/Consumers 4.1.6.3. Bargaining Power of Suppliers 4.1.6.4. Threat of Substitute Products 4.1.6.5. Intensity of Competitive Rivalry 4.1.7. Value Chain Analysis 4.1.8. Technological Roadmap 4.1.9. Regulatory landscape 4.1.10. Impact of the Covid-19 Pandemic on the Machine Learning Market 5. Supply Side and Demand Side Indicators 6. Machine Learning Market Analysis and Forecast, 2020-2027 6.1. Machine Learning Market Size & Y-o-Y Growth Analysis. 7. Machine Learning Market Analysis and Forecasts, 2020-2027 7.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 7.1.1. Large Enterprise 7.1.2. Small and Medium Enterprise 7.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 7.2.1. Cloud 7.2.2. On premise 7.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 7.3.1. Healthcare 7.3.2. BFSI 7.3.3. Manufacturing 7.3.4. Automotive 7.3.5. Others 8. Machine Learning Market Analysis and Forecasts, By Region 8.1. Market Size (Value) Estimates & Forecast By Region, 2020-2027 8.1.1. North America 8.1.2. Europe 8.1.3. Asia-Pacific 8.1.4. Middle East & Africa 8.1.5. South America 9. North America Machine Learning Market Analysis and Forecasts, 2020-2027 9.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 9.1.1. Large Enterprise 9.1.2. Small and Medium Enterprise 9.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 9.2.1. Cloud 9.2.2. On premise 9.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 9.3.1. Healthcare 9.3.2. BFSI 9.3.3. Manufacturing 9.3.4. Automotive 9.3.5. Others 10. North America Machine Learning Market Analysis and Forecasts, By Country 10.1. Market Size (Value) Estimates & Forecast By Country, 2020-2027 10.1.1. US 10.1.2. Canada 10.1.3. Mexico 11. U.S. Machine Learning Market Analysis and Forecasts, 2020-2027 11.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 11.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 11.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 12. Canada Machine Learning Market Analysis and Forecasts, 2020-2027 12.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 12.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 12.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 13. Mexico Machine Learning Market Analysis and Forecasts, 2020-2027 13.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 13.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 13.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 14. Europe Machine Learning Market Analysis and Forecasts, 2020-2027 14.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 14.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 14.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 15. Europe Machine Learning Market Analysis and Forecasts, By Country 15.1. Market Size (Value) Estimates & Forecast By Country, 2020-2027 15.1.1. U.K 15.1.2. France 15.1.3. Germany 15.1.4. Italy 15.1.5. Spain 15.1.6. Sweden 15.1.7. CIS Countries 15.1.8. Rest of Europe 16. U.K. Machine Learning Market Analysis and Forecasts, 2020-2027 16.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 16.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 16.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 17. France Machine Learning Market Analysis and Forecasts, 2020-2027 17.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 17.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 17.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 18. Germany Machine Learning Market Analysis and Forecasts, 2020-2027 18.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 18.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 18.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 19. Italy Machine Learning Market Analysis and Forecasts, 2020-2027 19.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 19.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 19.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 20. Spain Machine Learning Market Analysis and Forecasts, 2020-2027 20.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 20.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 20.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 21. Sweden Machine Learning Market Analysis and Forecasts, 2020-2027 21.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 21.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 21.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 22. CIS Countries Machine Learning Market Analysis and Forecasts, 2020-2027 22.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 22.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 22.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 23. Rest of Europe Machine Learning Market Analysis and Forecasts, 2020-2027 23.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 23.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 23.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 24. Asia Pacific Machine Learning Market Analysis and Forecasts, 2020-2027 24.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 24.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 24.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 25. Asia Pacific Machine Learning Market Analysis and Forecasts, by Country 25.1. Market Size (Value) Estimates & Forecast By Country, 2020-2027 25.1.1. China 25.1.2. India 25.1.3. Japan 25.1.4. South Korea 25.1.5. Australia 25.1.6. ASEAN 25.1.7. Rest of Asia Pacific 26. China Machine Learning Market Analysis and Forecasts, 2020-2027 26.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 26.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 26.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 27. India Machine Learning Market Analysis and Forecasts, 2020-2027 27.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 27.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 27.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 28. Japan Machine Learning Market Analysis and Forecasts, 2020-2027 28.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 28.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 28.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 29. South Korea Machine Learning Market Analysis and Forecasts, 2020-2027 29.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 29.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 29.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 30. Australia Machine Learning Market Analysis and Forecasts, 2020-2027 30.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 30.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 30.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 31. ASEAN Machine Learning Market Analysis and Forecasts, 2020-2027 31.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 31.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 31.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 32. Rest of Asia Pacific Machine Learning Market Analysis and Forecasts, 2020-2027 32.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 32.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 32.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 33. Middle East Africa Machine Learning Market Analysis and Forecasts, 2020-2027 33.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 33.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 33.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 34. Middle East Africa Machine Learning Market Analysis and Forecasts, by Country 34.1. Market Size (Value) Estimates & Forecast by Country, 2020-2027 34.1.1. South Africa 34.1.2. GCC Countries 34.1.3. Egypt 34.1.4. Nigeria 34.1.5. Rest of ME&A 35. South Africa Machine Learning Market Analysis and Forecasts, 2020-2027 35.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 35.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 35.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 36. GCC Countries Machine Learning Market Analysis and Forecasts, 2020-2027 36.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 36.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 36.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 37. Egypt Machine Learning Market Analysis and Forecasts, 2020-2027 37.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 37.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 37.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 38. Nigeria Machine Learning Market Analysis and Forecasts, 2020-2027 38.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 38.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 38.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 39. Rest of ME&A Machine Learning Market Analysis and Forecasts, 2020-2027 39.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 39.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 39.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 40. South America Machine Learning Market Analysis and Forecasts, 2020-2027 40.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 40.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 40.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 41. South America Machine Learning Market Analysis and Forecasts, by Country 41.1. Market Size (Value) Estimates & Forecast by Country, 2020-2027 41.1.1. Brazil 41.1.2. Argentina 41.1.3. Rest of South America 42. Brazil Machine Learning Market Analysis and Forecasts, 2020-2027 42.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 42.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 42.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 43. Argentina Machine Learning Market Analysis and Forecasts, 2020-2027 43.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 43.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 43.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 44. Rest of South America Machine Learning Market Analysis and Forecasts, 2020-2027 44.1. Market Size (Value) Estimates & Forecast By Enterprise Size, 2020-2027 44.2. Market Size (Value) Estimates & Forecast By Deployment, 2020-2027 44.3. Market Size (Value) Estimates & Forecast By Industry, 2020-2027 45. Competitive Landscape 45.1. Geographic Footprint of Major Players in the Machine Learning Market 45.2. Competition Matrix 45.2.1. Competitive Benchmarking of Key Players By Price, Presence, Market Share, Deployments and R&D Investment 45.2.2. New Product Launches and Product Enhancements 45.2.3. Market Consolidation 45.2.3.1. M&A by Regions, Investment and Verticals 45.2.3.2. M&A, Forward Integration and Backward Integration 45.2.3.3. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements 45.3. Company Profile : Key Players 45.3.1. Amazon Web Services, Inc. 45.3.1.1. Company Overview 45.3.1.2. Financial Overview 45.3.1.3. Geographic Footprint 45.3.1.4. Product Portfolio 45.3.1.5. Business Strategy 45.3.1.6. Recent Developments 45.3.2. Baidu, Inc. 45.3.3. Domino Data Lab, Inc. 45.3.4. Microsoft Corporation 45.3.5. Dataiku 45.3.6. Luminoso Technologies, Inc. 45.3.7. TrademarkVision 45.3.8. SAP SE 45.3.9. BigML, Inc. 45.3.10. Fair Isaac Corporation 45.3.11. Hewlett Packard Enterprise Development LP 45.3.12. Intel Corporation 45.3.13. IBM Corporation 45.3.14. KNIME.com AG 45.3.15. RapidMiner, Inc. 45.3.16. Angoss Software Corporation 45.3.17. H2O.ai 45.3.18. SAS Institute Inc. 45.3.19. Google, Inc. 45.3.20. Alpine Data 45.3.21. Other Key Players 46. Primary Key Insights

About This Report

Report ID 23945
Category Information Technology & Telecommunication
Published Date Jan 2019
Updated Date Oct 2021
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