Global Cloud Machine Learning Platform 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI05241142

Publication Date:

May 18, 2024

Pages:

123

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

Cloud Machine Learning Platform is a comprehensive set of tools, services, and infrastructure provided by cloud service providers to support the development, deployment, and management of machine learning models and applications in a cloud environment. These platforms offer a range of services and resources tailored to the needs of data scientists, machine learning engineers, researchers, and businesses looking to leverage the power of machine learning without the complexities of setting up and managing their infrastructure.These platforms are widely used to gain insights from data, build predictive models, automate decision-making processes, and create AI-driven applications, contributing to a broad spectrum of fields, including healthcare, finance, marketing, and more.
The global Cloud Machine Learning Platform market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
Publisher' newest research report, the 鈥淐loud Machine Learning Platform Industry Forecast鈥� looks at past sales and reviews total world Cloud Machine Learning Platform sales in 2022, providing a comprehensive analysis by region and market sector of projected Cloud Machine Learning Platform sales for 2023 through 2029. With Cloud Machine Learning Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Cloud Machine Learning Platform industry.
This Insight Report provides a comprehensive analysis of the global Cloud Machine Learning Platform landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Cloud Machine Learning Platform portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Cloud Machine Learning Platform market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Cloud Machine Learning Platform and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Cloud Machine Learning Platform.
United States market for Cloud Machine Learning Platform is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Cloud Machine Learning Platform is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Cloud Machine Learning Platform is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Cloud Machine Learning Platform players cover Google Cloud AI Platform, AWS SageMaker, NVIDIA, IBM Watson Studio, Microsoft Azure, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Cloud Machine Learning Platform market by product type, application, key players and key regions and countries.
Segmentation by Type:
SMEs
Large Enterprise
Segmentation by Application:
Education
Healthcare
Finance
麻豆原创ing
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
SMEs
Large Enterprise
Segmentation by Application:
Education
Healthcare
Finance
麻豆原创ing
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google Cloud AI Platform
AWS SageMaker
NVIDIA
IBM Watson Studio
Microsoft Azure
BigML
Databricks
Alibaba Cloud
Oracle AI Platform Cloud Service
H2O.ai
TensorFlow Cloud
RapidMiner AI Hub
DataRobot
TIBCO Software
Dataiku
Snowflake Data Cloud

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Cloud Machine Learning Platform 麻豆原创 Size 2019-2030
2.1.2 Cloud Machine Learning Platform 麻豆原创 Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Cloud Machine Learning Platform by Country/Region, 2019, 2023 & 2030
2.2 Cloud Machine Learning Platform Segment by Type
2.2.1 SMEs
2.2.2 Large Enterprise
2.3 Cloud Machine Learning Platform 麻豆原创 Size by Type
2.3.1 Cloud Machine Learning Platform 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Cloud Machine Learning Platform 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Cloud Machine Learning Platform Segment by Application
2.4.1 Education
2.4.2 Healthcare
2.4.3 Finance
2.4.4 麻豆原创ing
2.4.5 Others
2.5 Cloud Machine Learning Platform 麻豆原创 Size by Application
2.5.1 Cloud Machine Learning Platform 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Cloud Machine Learning Platform 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Cloud Machine Learning Platform 麻豆原创 Size by Player
3.1 Cloud Machine Learning Platform 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Cloud Machine Learning Platform Revenue by Player (2019-2024)
3.1.2 Global Cloud Machine Learning Platform Revenue 麻豆原创 Share by Player (2019-2024)
3.2 Global Cloud Machine Learning Platform Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Cloud Machine Learning Platform by Region
4.1 Cloud Machine Learning Platform 麻豆原创 Size by Region (2019-2024)
4.2 Global Cloud Machine Learning Platform Annual Revenue by Country/Region (2019-2024)
4.3 Americas Cloud Machine Learning Platform 麻豆原创 Size Growth (2019-2024)
4.4 APAC Cloud Machine Learning Platform 麻豆原创 Size Growth (2019-2024)
4.5 Europe Cloud Machine Learning Platform 麻豆原创 Size Growth (2019-2024)
4.6 Middle East & Africa Cloud Machine Learning Platform 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Cloud Machine Learning Platform 麻豆原创 Size by Country (2019-2024)
5.2 Americas Cloud Machine Learning Platform 麻豆原创 Size by Type (2019-2024)
5.3 Americas Cloud Machine Learning Platform 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Cloud Machine Learning Platform 麻豆原创 Size by Region (2019-2024)
6.2 APAC Cloud Machine Learning Platform 麻豆原创 Size by Type (2019-2024)
6.3 APAC Cloud Machine Learning Platform 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Cloud Machine Learning Platform 麻豆原创 Size by Country (2019-2024)
7.2 Europe Cloud Machine Learning Platform 麻豆原创 Size by Type (2019-2024)
7.3 Europe Cloud Machine Learning Platform 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Cloud Machine Learning Platform by Region (2019-2024)
8.2 Middle East & Africa Cloud Machine Learning Platform 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Cloud Machine Learning Platform 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Cloud Machine Learning Platform 麻豆原创 Forecast
10.1 Global Cloud Machine Learning Platform Forecast by Region (2025-2030)
10.1.1 Global Cloud Machine Learning Platform Forecast by Region (2025-2030)
10.1.2 Americas Cloud Machine Learning Platform Forecast
10.1.3 APAC Cloud Machine Learning Platform Forecast
10.1.4 Europe Cloud Machine Learning Platform Forecast
10.1.5 Middle East & Africa Cloud Machine Learning Platform Forecast
10.2 Americas Cloud Machine Learning Platform Forecast by Country (2025-2030)
10.2.1 United States 麻豆原创 Cloud Machine Learning Platform Forecast
10.2.2 Canada 麻豆原创 Cloud Machine Learning Platform Forecast
10.2.3 Mexico 麻豆原创 Cloud Machine Learning Platform Forecast
10.2.4 Brazil 麻豆原创 Cloud Machine Learning Platform Forecast
10.3 APAC Cloud Machine Learning Platform Forecast by Region (2025-2030)
10.3.1 China Cloud Machine Learning Platform 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Cloud Machine Learning Platform Forecast
10.3.3 Korea 麻豆原创 Cloud Machine Learning Platform Forecast
10.3.4 Southeast Asia 麻豆原创 Cloud Machine Learning Platform Forecast
10.3.5 India 麻豆原创 Cloud Machine Learning Platform Forecast
10.3.6 Australia 麻豆原创 Cloud Machine Learning Platform Forecast
10.4 Europe Cloud Machine Learning Platform Forecast by Country (2025-2030)
10.4.1 Germany 麻豆原创 Cloud Machine Learning Platform Forecast
10.4.2 France 麻豆原创 Cloud Machine Learning Platform Forecast
10.4.3 UK 麻豆原创 Cloud Machine Learning Platform Forecast
10.4.4 Italy 麻豆原创 Cloud Machine Learning Platform Forecast
10.4.5 Russia 麻豆原创 Cloud Machine Learning Platform Forecast
10.5 Middle East & Africa Cloud Machine Learning Platform Forecast by Region (2025-2030)
10.5.1 Egypt 麻豆原创 Cloud Machine Learning Platform Forecast
10.5.2 South Africa 麻豆原创 Cloud Machine Learning Platform Forecast
10.5.3 Israel 麻豆原创 Cloud Machine Learning Platform Forecast
10.5.4 Turkey 麻豆原创 Cloud Machine Learning Platform Forecast
10.6 Global Cloud Machine Learning Platform Forecast by Type (2025-2030)
10.7 Global Cloud Machine Learning Platform Forecast by Application (2025-2030)
10.7.1 GCC Countries 麻豆原创 Cloud Machine Learning Platform Forecast
11 Key Players Analysis
11.1 Google Cloud AI Platform
11.1.1 Google Cloud AI Platform Company Information
11.1.2 Google Cloud AI Platform Cloud Machine Learning Platform Product Offered
11.1.3 Google Cloud AI Platform Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Google Cloud AI Platform Main Business Overview
11.1.5 Google Cloud AI Platform Latest Developments
11.2 AWS SageMaker
11.2.1 AWS SageMaker Company Information
11.2.2 AWS SageMaker Cloud Machine Learning Platform Product Offered
11.2.3 AWS SageMaker Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 AWS SageMaker Main Business Overview
11.2.5 AWS SageMaker Latest Developments
11.3 NVIDIA
11.3.1 NVIDIA Company Information
11.3.2 NVIDIA Cloud Machine Learning Platform Product Offered
11.3.3 NVIDIA Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 NVIDIA Main Business Overview
11.3.5 NVIDIA Latest Developments
11.4 IBM Watson Studio
11.4.1 IBM Watson Studio Company Information
11.4.2 IBM Watson Studio Cloud Machine Learning Platform Product Offered
11.4.3 IBM Watson Studio Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 IBM Watson Studio Main Business Overview
11.4.5 IBM Watson Studio Latest Developments
11.5 Microsoft Azure
11.5.1 Microsoft Azure Company Information
11.5.2 Microsoft Azure Cloud Machine Learning Platform Product Offered
11.5.3 Microsoft Azure Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Microsoft Azure Main Business Overview
11.5.5 Microsoft Azure Latest Developments
11.6 BigML
11.6.1 BigML Company Information
11.6.2 BigML Cloud Machine Learning Platform Product Offered
11.6.3 BigML Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 BigML Main Business Overview
11.6.5 BigML Latest Developments
11.7 Databricks
11.7.1 Databricks Company Information
11.7.2 Databricks Cloud Machine Learning Platform Product Offered
11.7.3 Databricks Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Databricks Main Business Overview
11.7.5 Databricks Latest Developments
11.8 Alibaba Cloud
11.8.1 Alibaba Cloud Company Information
11.8.2 Alibaba Cloud Cloud Machine Learning Platform Product Offered
11.8.3 Alibaba Cloud Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Alibaba Cloud Main Business Overview
11.8.5 Alibaba Cloud Latest Developments
11.9 Oracle AI Platform Cloud Service
11.9.1 Oracle AI Platform Cloud Service Company Information
11.9.2 Oracle AI Platform Cloud Service Cloud Machine Learning Platform Product Offered
11.9.3 Oracle AI Platform Cloud Service Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 Oracle AI Platform Cloud Service Main Business Overview
11.9.5 Oracle AI Platform Cloud Service Latest Developments
11.10 H2O.ai
11.10.1 H2O.ai Company Information
11.10.2 H2O.ai Cloud Machine Learning Platform Product Offered
11.10.3 H2O.ai Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 H2O.ai Main Business Overview
11.10.5 H2O.ai Latest Developments
11.11 TensorFlow Cloud
11.11.1 TensorFlow Cloud Company Information
11.11.2 TensorFlow Cloud Cloud Machine Learning Platform Product Offered
11.11.3 TensorFlow Cloud Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 TensorFlow Cloud Main Business Overview
11.11.5 TensorFlow Cloud Latest Developments
11.12 RapidMiner AI Hub
11.12.1 RapidMiner AI Hub Company Information
11.12.2 RapidMiner AI Hub Cloud Machine Learning Platform Product Offered
11.12.3 RapidMiner AI Hub Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 RapidMiner AI Hub Main Business Overview
11.12.5 RapidMiner AI Hub Latest Developments
11.13 DataRobot
11.13.1 DataRobot Company Information
11.13.2 DataRobot Cloud Machine Learning Platform Product Offered
11.13.3 DataRobot Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 DataRobot Main Business Overview
11.13.5 DataRobot Latest Developments
11.14 TIBCO Software
11.14.1 TIBCO Software Company Information
11.14.2 TIBCO Software Cloud Machine Learning Platform Product Offered
11.14.3 TIBCO Software Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 TIBCO Software Main Business Overview
11.14.5 TIBCO Software Latest Developments
11.15 Dataiku
11.15.1 Dataiku Company Information
11.15.2 Dataiku Cloud Machine Learning Platform Product Offered
11.15.3 Dataiku Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 Dataiku Main Business Overview
11.15.5 Dataiku Latest Developments
11.16 Snowflake Data Cloud
11.16.1 Snowflake Data Cloud Company Information
11.16.2 Snowflake Data Cloud Cloud Machine Learning Platform Product Offered
11.16.3 Snowflake Data Cloud Cloud Machine Learning Platform Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.16.4 Snowflake Data Cloud Main Business Overview
11.16.5 Snowflake Data Cloud Latest Developments
12 Research Findings and Conclusion

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