This research study involves broad usage of both secondary and primary data sources. The research process involves the identification of numerous factors which affect the industry, comprising the market environment, government policy, historical data, present trends in the market, competitive landscape, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges.

Market Estimation

Top-down and bottom-up approaches are used for validating the market size for companies, regional segments along with relevant market segmentations such as product type and application.
This report includes market estimations which are based on the marketed sale price of a product. Further breakdown of product segments, particular market share are formed based on the weightage assigned to every segment, which is derived of their usage rate and average price. The entire probable factors which effect the markets and influence them in a great way are included in this research report; and have been accounted for, studied in-depth and are confirmed through primary research. These are then studies to get the final qualitative and quantitative data. Any of the factors such as the outcome of inflation, economic downfall, and any kind of policy and regulatory alterations and/or other such factors are not accounted for in the market forecast. All of this data is amalgamated and included with thorough inputs and analysis from Gravitas Market Insights is curated in this report.

Along with the previously mentioned approaches, various data triangulation methods, in order to conduct market estimations and market forecasting for the complete market segments are detailed in this report. Key Companies present in the said market are also acknowledged via in-depth secondary research and primary research.

Section 1: Executive Summary

1.1. Machine Learning (ML) Market Industry 360° outline, Year 2016 – 2028
1.2. Business Model Trends
1.3. Growth Trends
1.4. Industryr/Industry Trends
1.5. Regional Trends

Section 2: Market Dynamics - Machine Learning (ML) Market Industry Insights

2.1. Growth Drivers
2.2. Opportunities
2.3. Industry challenges
2.4. SWOT Analysis
2.5. Porter’s Analysis
2.6. Worldwide Industry Landscape, Year 2016 – 2028
2.7. Industry Segmentation
2.8. Technology & Invention landscape
2.9. Regional Landscape
2.9.1. North America
2.9.2. Europe
2.9.3. Asia-Pacific
2.9.4. South America
2.9.5. Middle East & Africa
2.10. Competitive Environment

Section 3: Global Machine Learning (ML) Market, By Component

3.1. Segmentation Analysis, By Component, 2016-2028
3.2. Segmentation wise Market Share Analysis, By Component, 2016-2028
3.3. Services
3.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
3.4. Solutions
3.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

Section 4: Global Machine Learning (ML) Market Share Analysis, By Deployment Mode

4.1. Segmentation Analysis, By Deployment Mode, 2016-2028
4.2. Segmentation wise Market Share Analysis, By Deployment Mode, 2016-2028
4.3. On-premise
4.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
4.4. Cloud
4.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

Section 5: Global Machine Learning (ML) Market, By Enterprise Size

5.1. Segmentation Analysis, By Enterprise Size, 2016-2028
5.2. Segmentation wise Market Share Analysis, By Enterprise Size, 2016-2028
5.3. Small & Medium Enterprise (SME’s)
5.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
5.4. Large Enterprise
5.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

Section 6: Global Machine Learning (ML) Market, By Industry

6.1. Segmentation Analysis, By Industry, 2016-2028
6.2. Segmentation wise Market Share Analysis, By Industry, 2016-2028
6.3. Retail
6.3.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.4. IT & Telecommunications
6.4.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.5. BFSI
6.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.6. Healthcare
6.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.7. Transportation
6.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.8. Advertising & Media
6.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.9. Manufacturing
6.9.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
6.10. Other Industry
6.10.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

Section 7: Global Machine Learning (ML) Market, Regional Analysis 

7.1. Global Machine Learning (ML) Market, Regional Analysis
7.2. Global Machine Learning (ML), Regional Market Share Analysis

7.3. North America, Country level Analysis
7.3.1. North America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Component, 2016 – 2028
7.3.2. North America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Deployment Mode, 2016 – 2028
7.3.3. North America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Enterprise Size, 2016 – 2028
7.3.4. North America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Industry, 2016 – 2028
7.3.5. United States
7.3.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.3.6. Canada
7.3.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.3.7. Mexico
7.3.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

7.4. Europe Country level Analysis
7.4.1. Europe Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Component, 2016 – 2028
7.4.2. Europe Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Deployment Mode, 2016 – 2028
7.4.3. Europe Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Enterprise Size, 2016 – 2028
7.4.4. Europe Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Industry, 2016 – 2028
7.4.5. UK
7.4.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.6. Germany
7.4.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.7. France
7.4.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.8. Italy
7.4.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.9. Spain
7.4.9.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.10. Russia
7.4.10.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.4.11. Rest of Europe
7.4.11.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

7.5. Asia-Pacific Country level Analysis
7.5.1. Asia-Pacific Machine Learning (ML) Market estimates and forecast with Growth rate analysis, by Component, 2016 – 2028
7.5.2. Asia-Pacific Machine Learning (ML) Market estimates and forecast with Growth rate analysis, by Deployment Mode, 2016 – 2028
7.5.3. Asia-Pacific Machine Learning (ML) Market estimates and forecast with Growth rate analysis, by Enterprise Size, 2016 – 2028
7.5.4. Asia-Pacific Machine Learning (ML) Market estimates and forecast with Growth rate analysis, by Industry, 2016 – 2028
7.5.5. China
7.5.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.6. India
7.5.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.7. Japan
7.5.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.8. Korea
7.5.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.9. Australia
7.5.9.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.10. Southeast Asia
7.5.10.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.5.11. Rest of Asia-Pacific
7.5.11.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

7.6. South America Country level Analysis
7.6.1. South America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Component, 2016 – 2028
7.6.2. South America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Deployment Mode, 2016 – 2028
7.6.3. South America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Enterprise Size, 2016 – 2028
7.6.4. South America Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Industry, 2016 – 2028
7.6.5. Brazil
7.6.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.6.6. Argentina
7.6.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.6.7. Colombia
7.6.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.6.8. Rest of South America
7.6.8.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

7.7. Middle East & Africa Country level Analysis
7.7.1. MEA Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Component, 2016 – 2028
7.7.2. MEA Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Deployment Mode, 2016 – 2028
7.7.3. MEA Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Enterprise Size, 2016 – 2028
7.7.4. MEA Machine Learning (ML) Market estimates and forecast with Growth rate analysis, By Industry, 2016 – 2028
7.7.5. GCC
7.7.5.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.7.6. South Africa
7.7.6.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028
7.7.7. Rest of Middle East & Africa
7.7.7.1. Market estimates and forecast with Growth rate analysis, 2016 – 2028

Section 8: Company Profile - Machine Learning (ML) Market

9.1. Amazon Web Services
9.1.1. Business Overview
9.1.2. Component & Service Offering
9.1.3. Overall Revenue
9.1.4. Strategic Outlook

9.2. Domino Data Lab Inc.
9.2.1. Business Overview
9.2.2. Component & Service Offering
9.2.3. Overall Revenue
9.2.4. Strategic Outlook

9.3. Microsoft Corporation
9.3.1. Business Overview
9.3.2. Component & Service Offering
9.3.3. Overall Revenue
9.3.4. Strategic Outlook

9.4. Baidu, Inc.
9.4.1. Business Overview
9.4.2. Component & Service Offering
9.4.3. Overall Revenue
9.4.4. Strategic Outlook

9.5. Luminoso Technologies, Inc.
9.5.1. Business Overview
9.5.2. Component & Service Offering
9.5.3. Overall Revenue
9.5.4. Strategic Outlook

9.6. BigML, Inc.
9.6.1. Business Overview
9.6.2. Component & Service Offering
9.6.3. Overall Revenue
9.6.4. Strategic Outlook

9.7. IBM Corporatoion
9.7.1. Business Overview
9.7.2. Component & Service Offering
9.7.3. Overall Revenue
9.7.4. Strategic Outlook

9.8. Google, Inc.
9.8.1. Business Overview
9.8.2. Component & Service Offering
9.8.3. Overall Revenue
9.8.4. Strategic Outlook

9.9. Alpine Data
9.9.1. Business Overview
9.9.2. Component & Service Offering
9.9.3. Overall Revenue
9.9.4. Strategic Outlook

9.10. Angoss Software Corporation
9.10.1. Business Overview
9.10.2. Component & Service Offering
9.10.3. Overall Revenue
9.10.4. Strategic Outlook

*Market size and forecast will be provided from 2016-2028, and forecast period would be 2021-2028
*Details on financial performance and strategic moves and developments may not be captured for unlisted companies
*List of companies profiled in this TOC is tentative and may change after detailed analysis