Machine Learning Market

Table of Contents

1 Executive Summary      
        
2 Preface       
 2.1 Abstract      
 2.2 Stake Holders     
 2.3 Research Scope     
 2.4 Research Methodology     
  2.4.1 Data Mining    
  2.4.2 Data Analysis    
  2.4.3 Data Validation    
  2.4.4 Research Approach    
 2.5 Research Sources     
  2.5.1 Primary Research Sources   
  2.5.2 Secondary Research Sources   
  2.5.3 Assumptions    
        
3 Market Trend Analysis     
 3.1 Introduction     
 3.2 Drivers      
 3.3 Restraints     
 3.4 Opportunities     
 3.5 Threats      
 3.6 End User Analysis     
 3.7 Emerging Markets     
 3.8 Impact of Covid-19     
        
4 Porters Five Force Analysis     
 4.1 Bargaining power of suppliers    
 4.2 Bargaining power of buyers    
 4.3 Threat of substitutes    
 4.4 Threat of new entrants    
 4.5 Competitive rivalry     
        
5 Global Machine Learning Market, By Service    
 5.1 Introduction     
 5.2 Managed Services     
 5.3 Professional Services    
        
6 Global Machine Learning Market, By Deployment Mode  
 6.1 Introduction     
 6.2 On-Premises     
 6.3 Cloud      
        
7 Global Machine Learning Market, By Organization Size  
 7.1 Introduction     
 7.2 Small & Medium Sized Enterprises (SMEs)  
 7.3 Large Enterprises     
        
8 Global Machine Learning Market, By Component   
 8.1 Introduction     
 8.2 Software       
 8.3 Services      
 8.4 Hardware     
        
9 Global Machine Learning Market, By End User   
 9.1 Introduction     
 9.2 Government and Defense    
  9.2.1 Threat Intelligence    
  9.2.2 Autonomous Defense System   
  9.2.3 Other Government and Defenses  
   9.2.3.1 Sustainability    
   9.2.3.2 Operational Analytics  
 9.3 Retail      
  9.3.1 Upsells and Cross Channel Marketing  
  9.3.2 Segmentation and Targeting   
  9.3.3 Recommendation Engines   
  9.3.4 Inventory Planning    
  9.3.5 Other Retails    
   9.3.5.1 Customer ROI & Lifetime Value 
   9.3.5.2 Customization Management  
 9.4 Healthcare and Life Sciences    
  9.4.1 Disease Identification and Diagnosis  
  9.4.2 Drug Discovery/Manufacturing  
  9.4.3 Image Analytics    
  9.4.4 Personalized Treatment   
  9.4.5 Other Healthcare and Life Sciences  
   9.4.5.1 Clinical Trial Research  
   9.4.5.2 Epidemic Outbreak Prediction  
 9.5 Telecommunications    
  9.5.1 Network Security    
  9.5.2 Network Optimization   
  9.5.3 Customer Analytics    
  9.5.4 Other Telecommunications   
   9.5.4.1 Digital Assistance/Contact Centers Analytics
   9.5.4.2 Marketing Campaign Analytics  
 9.6 Manufacturing     
  9.6.1 Demand Forecasting   
  9.6.2 Predictive Maintenance   
  9.6.3 Revenue Estimation   
  9.6.4 Supply Chain Management   
  9.6.5 Other Manufacturings   
   9.6.5.1 Root Cause Analysis   
   9.6.5.2 Telematics   
 9.7 Banking, Financial Services, and Insurance (BFSI)  
  9.7.1 Customer Segmentation   
  9.7.2 Digital Assistance    
  9.7.3 Fraud and Risk Management   
  9.7.4 Investment Prediction   
  9.7.5 Sales and Marketing Campaign Management 
  9.7.6 Other Banking, Financial Services, and Insurance (BFSI)s
   9.7.6.1 Compliance Management  
   9.7.6.2 Credit Underwriting   
 9.8 Energy and Utilities     
  9.8.1 Carbon Emission    
  9.8.2 Power/Energy Usage Analytics   
  9.8.3 Seismic Data Processing   
  9.8.4 Smart Grid Management   
  9.8.5 Other Energy and Utilities   
   9.8.5.1 Customer Specific Pricing  
   9.8.5.2 Renewable Energy Management 
 9.9 Other Applications     
  9.9.1 Agriculture    
  9.9.2 Automotive & Transportation   
  9.9.3 Education    
  9.9.4 Education    
  9.9.5 Law     
  9.9.6 Media and Entertainment   
        
10 Global Machine Learning Market, By Geography   
 10.1 Introduction     
 10.2 North America     
  10.2.1 US     
  10.2.2 Canada     
  10.2.3 Mexico     
 10.3 Europe      
  10.3.1 Germany     
  10.3.2 UK     
  10.3.3 Italy     
  10.3.4 France     
  10.3.5 Spain     
  10.3.6 Rest of Europe    
 10.4 Asia Pacific     
  10.4.1 Japan     
  10.4.2 China     
  10.4.3 India     
  10.4.4 Australia     
  10.4.5 New Zealand    
  10.4.6 South Korea    
  10.4.7 Rest of Asia Pacific    
 10.5 South America     
  10.5.1 Argentina    
  10.5.2 Brazil     
  10.5.3 Chile     
  10.5.4 Rest of South America   
 10.6 Middle East & Africa    
  10.6.1 Saudi Arabia    
  10.6.2 UAE     
  10.6.3 Qatar     
  10.6.4 South Africa     
  10.6.5 Rest of Middle East & Africa   
        
11 Key Developments      
 11.1 Agreements, Partnerships, Collaborations and Joint Ventures 
 11.2 Acquisitions & Mergers    
 11.3 New Product Launch    
 11.4 Expansions     
 11.5 Other Key Strategies    
        
12 Company Profiling      
 12.1 Amazon Web Services Inc    
 12.2 Baidu Inc      
 12.3 BigML Inc      
 12.4 Fair Isaac Corporation    
 12.5 Google Inc     
 12.6 H2o.AI      
 12.7 Hewlett Packard Enterprise Development LP  
 12.8 Intel Corporation     
 12.9 International Business Machines Corporation  
 12.10 Microsoft Corporation    
 12.11 SAP SE      
 12.12 SAS Institute Inc    

List of Tables       
1 Global Machine Learning Market Outlook, By Region (2018-2027) ($MN) 
2 Global Machine Learning Market Outlook, By Service (2018-2027) ($MN) 
3 Global Machine Learning Market Outlook, By Managed Services (2018-2027) ($MN)
4 Global Machine Learning Market Outlook, By Professional Services (2018-2027) ($MN)
5 Global Machine Learning Market Outlook, By Deployment Mode (2018-2027) ($MN)
6 Global Machine Learning Market Outlook, By On-Premises (2018-2027) ($MN)
7 Global Machine Learning Market Outlook, By Cloud (2018-2027) ($MN) 
8 Global Machine Learning Market Outlook, By Organization Size (2018-2027) ($MN)
9 Global Machine Learning Market Outlook, By Small & Medium Sized Enterprises (SMEs) (2018-2027) ($MN)
10 Global Machine Learning Market Outlook, By Large Enterprises (2018-2027) ($MN)
11 Global Machine Learning Market Outlook, By Component (2018-2027) ($MN)
12 Global Machine Learning Market Outlook, By Software (2018-2027) ($MN)
13 Global Machine Learning Market Outlook, By Services (2018-2027) ($MN)
14 Global Machine Learning Market Outlook, By Hardware (2018-2027) ($MN)
15 Global Machine Learning Market Outlook, By End User (2018-2027) ($MN)
16 Global Machine Learning Market Outlook, By Government and Defense (2018-2027) ($MN)
17 Global Machine Learning Market Outlook, By Threat Intelligence (2018-2027) ($MN)
18 Global Machine Learning Market Outlook, By Autonomous Defense System (2018-2027) ($MN)
19 Global Machine Learning Market Outlook, By Other Government and Defenses (2018-2027) ($MN)
20 Global Machine Learning Market Outlook, By Retail (2018-2027) ($MN) 
21 Global Machine Learning Market Outlook, By Upsells and Cross Channel Marketing (2018-2027) ($MN)
22 Global Machine Learning Market Outlook, By Segmentation and Targeting (2018-2027) ($MN)
23 Global Machine Learning Market Outlook, By Recommendation Engines (2018-2027) ($MN)
24 Global Machine Learning Market Outlook, By Inventory Planning (2018-2027) ($MN)
25 Global Machine Learning Market Outlook, By Other Retails (2018-2027) ($MN)
26 Global Machine Learning Market Outlook, By Healthcare and Life Sciences (2018-2027) ($MN)
27 Global Machine Learning Market Outlook, By Disease Identification and Diagnosis (2018-2027) ($MN)
28 Global Machine Learning Market Outlook, By Drug Discovery/Manufacturing (2018-2027) ($MN)
29 Global Machine Learning Market Outlook, By Image Analytics (2018-2027) ($MN)
30 Global Machine Learning Market Outlook, By Personalized Treatment (2018-2027) ($MN)
31 Global Machine Learning Market Outlook, By Other Healthcare and Life Sciences (2018-2027) ($MN)
32 Global Machine Learning Market Outlook, By Telecommunications (2018-2027) ($MN)
33 Global Machine Learning Market Outlook, By Network Security (2018-2027) ($MN)
34 Global Machine Learning Market Outlook, By Network Optimization (2018-2027) ($MN)
35 Global Machine Learning Market Outlook, By Customer Analytics (2018-2027) ($MN)
36 Global Machine Learning Market Outlook, By Other Telecommunications (2018-2027) ($MN)
37 Global Machine Learning Market Outlook, By Manufacturing (2018-2027) ($MN)
38 Global Machine Learning Market Outlook, By Demand Forecasting (2018-2027) ($MN)
39 Global Machine Learning Market Outlook, By Predictive Maintenance (2018-2027) ($MN)
40 Global Machine Learning Market Outlook, By Revenue Estimation (2018-2027) ($MN)
41 Global Machine Learning Market Outlook, By Supply Chain Management (2018-2027) ($MN)
42 Global Machine Learning Market Outlook, By Other Manufacturings (2018-2027) ($MN)
43 Global Machine Learning Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2018-2027) ($MN)
44 Global Machine Learning Market Outlook, By Customer Segmentation (2018-2027) ($MN)
45 Global Machine Learning Market Outlook, By Digital Assistance (2018-2027) ($MN)
46 Global Machine Learning Market Outlook, By Fraud and Risk Management (2018-2027) ($MN)
47 Global Machine Learning Market Outlook, By Investment Prediction (2018-2027) ($MN)
48 Global Machine Learning Market Outlook, By Sales and Marketing Campaign Management (2018-2027) ($MN)
49 Global Machine Learning Market Outlook, By Other Banking, Financial Services, and Insurance (BFSI)s (2018-2027) ($MN)
50 Global Machine Learning Market Outlook, By Energy and Utilities (2018-2027) ($MN)
51 Global Machine Learning Market Outlook, By Carbon Emission (2018-2027) ($MN)
52 Global Machine Learning Market Outlook, By Power/Energy Usage Analytics (2018-2027) ($MN)
53 Global Machine Learning Market Outlook, By Seismic Data Processing (2018-2027) ($MN)
54 Global Machine Learning Market Outlook, By Smart Grid Management (2018-2027) ($MN)
55 Global Machine Learning Market Outlook, By Other Energy and Utilities (2018-2027) ($MN)
56 Global Machine Learning Market Outlook, By Other Applications (2018-2027) ($MN)
57 Global Machine Learning Market Outlook, By Agriculture (2018-2027) ($MN)
58 Global Machine Learning Market Outlook, By Automotive & Transportation (2018-2027) ($MN)
59 Global Machine Learning Market Outlook, By Education (2018-2027) ($MN)
60 Global Machine Learning Market Outlook, By Education (2018-2027) ($MN)
61 Global Machine Learning Market Outlook, By Law (2018-2027) ($MN) 
62 Global Machine Learning Market Outlook, By Media and Entertainment (2018-2027) ($MN)
        
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

• Product Lifecycle Analysis
• Competitor analysis
• Risk analysis
• Porters Analysis
• PESTEL Analysis
• SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

• Leading Companies
• Suppliers & Distributors
• Manufacturers
• Consumers
• Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at info@strategymrc.com

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