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Global Machine Learning (ML) Platforms Market Research Report 2021 - Impact of COVID-19 on the Market

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Published on 04/19/2022| Code: MAR41115D| Category: Utilities| Total Pages: 113

The Machine Learning (ML) Platforms market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.

Considering the influence of COVID-19 on the global Machine Learning (ML) Platforms market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.

This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.

Under COVID-19 Outbreak, how the Machine Learning (ML) Platforms Industry will develop is also analyzed in detail in Chapter 1.8 of this report.

Major Players in Machine Learning (ML) Platforms market are:

Intel Corporation
Fair Isaac Corporation
IBM Corporation
BigML, Inc.
Amazon Web Services, Inc.
H2O.ai
SAP SE
Baidu, Inc.
Microsoft Corporation
Hewlett Packard Enterprise Development LP (HPE)
SAS Institute, Inc.
Google LLC

Most important types of Machine Learning (ML) Platforms products covered in this report are:

Cloud
On-Premises

Most widely used downstream fields of Machine Learning (ML) Platforms market covered in this report are:

BFSI
Healthcare and Life Sciences
Retail
Telecommunication
Government and Defense
Manufacturing
Energy and Utilities

Major Regions or countries covered in this report:

North America

Europe

China

Japan

Middle East and Africa

South America

India

South Korea

Southeast Asia

Others

In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.

In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.

In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.

Years considered for this report:

Historical Years: 2016-2020

Base Year: 2020

Estimated Year: 2021

Forecast Period: 2021-2026

Table of Content

1 Machine Learning (ML) Platforms Introduction and Market Overview

1.1 Objectives of the Study

1.2 Overview of Machine Learning (ML) Platforms

1.3 Machine Learning (ML) Platforms Market Scope and Market Size Estimation

1.3.1 Market Concentration Ratio and Market Maturity Analysis

1.3.2 Global Machine Learning (ML) Platforms Revenue and Growth Rate from 2016-2026

1.4 Market Segmentation

1.4.1 Types of Machine Learning (ML) Platforms

1.4.2 Applications of Machine Learning (ML) Platforms

1.4.3 Research Regions

1.5 Market Dynamics

1.5.1 Machine Learning (ML) Platforms Industry Trends

1.5.2 Machine Learning (ML) Platforms Drivers

1.5.3 Machine Learning (ML) Platforms Market Challenges

1.5.4 Machine Learning (ML) Platforms Market Restraints

1.6 Industry News and Policies by Regions

1.6.1 Industry News

1.6.2 Industry Policies

1.7 Mergers & Acquisitions, Expansion Plans

1.8 Machine Learning (ML) Platforms Industry Development Trends under COVID-19 Outbreak

1.8.1 Global COVID-19 Status Overview

1.8.2 Influence of COVID-19 Outbreak on Machine Learning (ML) Platforms Industry Development

2 Industry Chain Analysis

2.1 Upstream Raw Material Supply and Demand Analysis

2.1.1 Global Machine Learning (ML) Platforms Major Upstream Raw Material and Suppliers

2.1.2 Raw Material Source Analysis

2.2 Major Players of Machine Learning (ML) Platforms

2.2.1 Major Players Manufacturing Base of Machine Learning (ML) Platforms in 2020

2.2.2 Major Players Market Distribution in 2020

2.3 Machine Learning (ML) Platforms Manufacturing Cost Structure Analysis

2.3.1 Production Process Analysis

2.3.2 Manufacturing Cost Structure of Machine Learning (ML) Platforms

2.3.3 Labor Cost of Machine Learning (ML) Platforms

2.4 Market Channel Analysis of Machine Learning (ML) Platforms

2.5 Major Down Stream Customers by Application

3 Global Machine Learning (ML) Platforms Market, by Type

3.1 Global Machine Learning (ML) Platforms Revenue and Market Share by Type (2016-2021)

3.2 Global Machine Learning (ML) Platforms Production and Market Share by Type (2016-2021)

3.3 Global Machine Learning (ML) Platforms Revenue and Growth Rate by Type (2016-2021)

3.3.1 Global Machine Learning (ML) Platforms Revenue and Growth Rate of Cloud
3.3.2 Global Machine Learning (ML) Platforms Revenue and Growth Rate of On-Premises
3.4 Global Machine Learning (ML) Platforms Price Analysis by Type (2016-2021)

3.4.1 Explanation of Different Type Product Price Trends

4 Machine Learning (ML) Platforms Market, by Application

4.1 Downstream Market Overview

4.2 Global Machine Learning (ML) Platforms Consumption and Market Share by Application (2016-2021)

4.3 Global Machine Learning (ML) Platforms Consumption and Growth Rate by Application (2016-2021)

4.3.1 Global Machine Learning (ML) Platforms Consumption and Growth Rate of BFSI (2016-2021)
4.3.2 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Healthcare and Life Sciences (2016-2021)
4.3.3 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Retail (2016-2021)
4.3.4 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Telecommunication (2016-2021)
4.3.5 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Government and Defense (2016-2021)
4.3.6 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Manufacturing (2016-2021)
4.3.7 Global Machine Learning (ML) Platforms Consumption and Growth Rate of Energy and Utilities (2016-2021)

5 Global Machine Learning (ML) Platforms Consumption, Revenue ($) by Region (2016-2021)

5.1 Global Machine Learning (ML) Platforms Revenue and Market Share by Region (2016-2021)

5.2 Global Machine Learning (ML) Platforms Consumption and Market Share by Region (2016-2021)

5.3 Global Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.4 North America Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.4.1 North America Machine Learning (ML) Platforms Market Under COVID-19

5.4.2 North America Machine Learning (ML) Platforms SWOT Analysis

5.5 Europe Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.5.1 Europe Machine Learning (ML) Platforms Market Under COVID-19

5.5.2 Europe Machine Learning (ML) Platforms SWOT Analysis

5.6 China Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.6.1 China Machine Learning (ML) Platforms Market Under COVID-19

5.6.2 China Machine Learning (ML) Platforms SWOT Analysis

5.7 Japan Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.7.1 Japan Machine Learning (ML) Platforms Market Under COVID-19

5.7.2 Japan Machine Learning (ML) Platforms SWOT Analysis

5.8 Middle East and Africa Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.8.1 Middle East and Africa Machine Learning (ML) Platforms Market Under COVID-19

5.8.2 Middle East and Africa Machine Learning (ML) Platforms SWOT Analysis

5.9 India Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.9.1 India Machine Learning (ML) Platforms Market Under COVID-19

5.9.2 India Machine Learning (ML) Platforms SWOT Analysis

5.10 South America Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.10.1 South America Machine Learning (ML) Platforms Market Under COVID-19

5.10.2 South America Machine Learning (ML) Platforms SWOT Analysis

5.11 South Korea Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.11.1 South Korea Machine Learning (ML) Platforms Market Under COVID-19

5.11.2 South Korea Machine Learning (ML) Platforms SWOT Analysis

5.12 Southeast Asia Machine Learning (ML) Platforms Consumption, Revenue, Price and Gross Margin (2016-2021)

5.12.1 Southeast Asia Machine Learning (ML) Platforms Market Under COVID-19

5.12.2 Southeast Asia Machine Learning (ML) Platforms SWOT Analysis

6 Global Machine Learning (ML) Platforms Production by Top Regions (2016-2021)

6.1 Global Machine Learning (ML) Platforms Production by Top Regions (2016-2021)

6.2 North America Machine Learning (ML) Platforms Production and Growth Rate

6.3 Europe Machine Learning (ML) Platforms Production and Growth Rate

6.4 China Machine Learning (ML) Platforms Production and Growth Rate

6.5 Japan Machine Learning (ML) Platforms Production and Growth Rate

6.6 India Machine Learning (ML) Platforms Production and Growth Rate

7 Global Machine Learning (ML) Platforms Consumption by Regions (2016-2021)

7.1 Global Machine Learning (ML) Platforms Consumption by Regions (2016-2021)

7.2 North America Machine Learning (ML) Platforms Consumption and Growth Rate

7.3 Europe Machine Learning (ML) Platforms Consumption and Growth Rate

7.4 China Machine Learning (ML) Platforms Consumption and Growth Rate

7.5 Japan Machine Learning (ML) Platforms Consumption and Growth Rate

7.6 Middle East & Africa Machine Learning (ML) Platforms Consumption and Growth Rate

7.7 India Machine Learning (ML) Platforms Consumption and Growth Rate

7.8 South America Machine Learning (ML) Platforms Consumption and Growth Rate

7.9 South Korea Machine Learning (ML) Platforms Consumption and Growth Rate

7.10 Southeast Asia Machine Learning (ML) Platforms Consumption and Growth Rate

8 Competitive Landscape

8.1 Competitive Profile

8.2 Intel Corporation Market Performance Analysis
8.2.1 Company Profiles
8.2.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.2.3 Intel Corporation Sales, Revenue, Price, Gross Margin 2016-2021
8.2.4 Company Recent Development
8.2.5 Strategies for Company to Deal with the Impact of COVID-19
8.3 Fair Isaac Corporation Market Performance Analysis
8.3.1 Company Profiles
8.3.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.3.3 Fair Isaac Corporation Sales, Revenue, Price, Gross Margin 2016-2021
8.3.4 Company Recent Development
8.3.5 Strategies for Company to Deal with the Impact of COVID-19
8.4 IBM Corporation Market Performance Analysis
8.4.1 Company Profiles
8.4.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.4.3 IBM Corporation Sales, Revenue, Price, Gross Margin 2016-2021
8.4.4 Company Recent Development
8.4.5 Strategies for Company to Deal with the Impact of COVID-19
8.5 BigML, Inc. Market Performance Analysis
8.5.1 Company Profiles
8.5.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.5.3 BigML, Inc. Sales, Revenue, Price, Gross Margin 2016-2021
8.5.4 Company Recent Development
8.5.5 Strategies for Company to Deal with the Impact of COVID-19
8.6 Amazon Web Services, Inc. Market Performance Analysis
8.6.1 Company Profiles
8.6.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.6.3 Amazon Web Services, Inc. Sales, Revenue, Price, Gross Margin 2016-2021
8.6.4 Company Recent Development
8.6.5 Strategies for Company to Deal with the Impact of COVID-19
8.7 H2O.ai Market Performance Analysis
8.7.1 Company Profiles
8.7.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.7.3 H2O.ai Sales, Revenue, Price, Gross Margin 2016-2021
8.7.4 Company Recent Development
8.7.5 Strategies for Company to Deal with the Impact of COVID-19
8.8 SAP SE Market Performance Analysis
8.8.1 Company Profiles
8.8.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.8.3 SAP SE Sales, Revenue, Price, Gross Margin 2016-2021
8.8.4 Company Recent Development
8.8.5 Strategies for Company to Deal with the Impact of COVID-19
8.9 Baidu, Inc. Market Performance Analysis
8.9.1 Company Profiles
8.9.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.9.3 Baidu, Inc. Sales, Revenue, Price, Gross Margin 2016-2021
8.9.4 Company Recent Development
8.9.5 Strategies for Company to Deal with the Impact of COVID-19
8.10 Microsoft Corporation Market Performance Analysis
8.10.1 Company Profiles
8.10.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.10.3 Microsoft Corporation Sales, Revenue, Price, Gross Margin 2016-2021
8.10.4 Company Recent Development
8.10.5 Strategies for Company to Deal with the Impact of COVID-19
8.11 Hewlett Packard Enterprise Development LP (HPE) Market Performance Analysis
8.11.1 Company Profiles
8.11.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.11.3 Hewlett Packard Enterprise Development LP (HPE) Sales, Revenue, Price, Gross Margin 2016-2021
8.11.4 Company Recent Development
8.11.5 Strategies for Company to Deal with the Impact of COVID-19
8.12 SAS Institute, Inc. Market Performance Analysis
8.12.1 Company Profiles
8.12.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.12.3 SAS Institute, Inc. Sales, Revenue, Price, Gross Margin 2016-2021
8.12.4 Company Recent Development
8.12.5 Strategies for Company to Deal with the Impact of COVID-19
8.13 Google LLC Market Performance Analysis
8.13.1 Company Profiles
8.13.2 Machine Learning (ML) Platforms Product Profiles, Application and Specification
8.13.3 Google LLC Sales, Revenue, Price, Gross Margin 2016-2021
8.13.4 Company Recent Development
8.13.5 Strategies for Company to Deal with the Impact of COVID-19

9 Global Machine Learning (ML) Platforms Market Analysis and Forecast by Type and Application

9.1 Global Machine Learning (ML) Platforms Market Revenue & Volume Forecast, by Type (2021-2026)

9.1.1 Cloud Market Revenue and Volume Forecast (2021-2026)
9.1.2 On-Premises Market Revenue and Volume Forecast (2021-2026)
9.2 Global Machine Learning (ML) Platforms Market Revenue & Volume Forecast, by Application (2021-2026)

9.2.1 BFSI Market Revenue and Volume Forecast (2021-2026)
9.2.2 Healthcare and Life Sciences Market Revenue and Volume Forecast (2021-2026)
9.2.3 Retail Market Revenue and Volume Forecast (2021-2026)
9.2.4 Telecommunication Market Revenue and Volume Forecast (2021-2026)
9.2.5 Government and Defense Market Revenue and Volume Forecast (2021-2026)
9.2.6 Manufacturing Market Revenue and Volume Forecast (2021-2026)
9.2.7 Energy and Utilities Market Revenue and Volume Forecast (2021-2026)

10 Machine Learning (ML) Platforms Market Supply and Demand Forecast by Region

10.1 North America Market Supply and Demand Forecast (2021-2026)

10.2 Europe Market Supply and Demand Forecast (2021-2026)

10.3 China Market Supply and Demand Forecast (2021-2026)

10.4 Japan Market Supply and Demand Forecast (2021-2026)

10.5 Middle East and Africa Market Supply and Demand Forecast (2021-2026)

10.6 India Market Supply and Demand Forecast (2021-2026)

10.7 South America Market Supply and Demand Forecast (2021-2026)

10.8 South Korea Market Supply and Demand Forecast (2021-2026)

10.9 Southeast Asia Market Supply and Demand Forecast (2021-2026)

10.10 Explanation of Market Size Trends by Region

10.11 Machine Learning (ML) Platforms Market Trends Analysis

11 New Project Feasibility Analysis

11.1 Industry Barriers and New Entrants SWOT Analysis

11.2 Analysis and Suggestions on New Project Investment

12 Expert Interview Record

13 Research Finding and Conclusion

14 Appendix

14.1 Methodology

14.2 Research Data Source

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