Global Cloud Machine Learning Platform Market Research Report 2024

Publication ID:

PB504248582

Publication Date:

April 19, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

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 was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Cloud Machine Learning Platform is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Cloud Machine Learning Platform is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Cloud Machine Learning Platform in Education is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Cloud Machine Learning Platform include Google Cloud AI Platform, AWS SageMaker, NVIDIA, IBM Watson Studio, Microsoft Azure, BigML, Databricks, Alibaba Cloud, Oracle AI Platform Cloud Service, H2O.ai, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Cloud Machine Learning Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud Machine Learning Platform.
The Cloud Machine Learning Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Cloud Machine Learning Platform market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Cloud Machine Learning Platform companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
SMEs
Large Enterprise
Segment by Application
Education
Healthcare
Finance
Marketing
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Cloud Machine Learning Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Cloud Machine Learning Platform Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 SMEs
1.2.3 Large Enterprise
1.3 Market by Application
1.3.1 Global Cloud Machine Learning Platform Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Education
1.3.3 Healthcare
1.3.4 Finance
1.3.5 Marketing
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Cloud Machine Learning Platform Market Perspective (2019-2030)
2.2 Global Cloud Machine Learning Platform Growth Trends by Region
2.2.1 Global Cloud Machine Learning Platform Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Cloud Machine Learning Platform Historic Market Size by Region (2019-2024)
2.2.3 Cloud Machine Learning Platform Forecasted Market Size by Region (2025-2030)
2.3 Cloud Machine Learning Platform Market Dynamics
2.3.1 Cloud Machine Learning Platform Industry Trends
2.3.2 Cloud Machine Learning Platform Market Drivers
2.3.3 Cloud Machine Learning Platform Market Challenges
2.3.4 Cloud Machine Learning Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cloud Machine Learning Platform Players by Revenue
3.1.1 Global Top Cloud Machine Learning Platform Players by Revenue (2019-2024)
3.1.2 Global Cloud Machine Learning Platform Revenue Market Share by Players (2019-2024)
3.2 Global Cloud Machine Learning Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Cloud Machine Learning Platform Revenue
3.4 Global Cloud Machine Learning Platform Market Concentration Ratio
3.4.1 Global Cloud Machine Learning Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cloud Machine Learning Platform Revenue in 2023
3.5 Global Key Players of Cloud Machine Learning Platform Head office and Area Served
3.6 Global Key Players of Cloud Machine Learning Platform, Product and Application
3.7 Global Key Players of Cloud Machine Learning Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Cloud Machine Learning Platform Breakdown Data by Type
4.1 Global Cloud Machine Learning Platform Historic Market Size by Type (2019-2024)
4.2 Global Cloud Machine Learning Platform Forecasted Market Size by Type (2025-2030)
5 Cloud Machine Learning Platform Breakdown Data by Application
5.1 Global Cloud Machine Learning Platform Historic Market Size by Application (2019-2024)
5.2 Global Cloud Machine Learning Platform Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Cloud Machine Learning Platform Market Size (2019-2030)
6.2 North America Cloud Machine Learning Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Cloud Machine Learning Platform Market Size by Country (2019-2024)
6.4 North America Cloud Machine Learning Platform Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Cloud Machine Learning Platform Market Size (2019-2030)
7.2 Europe Cloud Machine Learning Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Cloud Machine Learning Platform Market Size by Country (2019-2024)
7.4 Europe Cloud Machine Learning Platform Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Cloud Machine Learning Platform Market Size (2019-2030)
8.2 Asia-Pacific Cloud Machine Learning Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Cloud Machine Learning Platform Market Size by Region (2019-2024)
8.4 Asia-Pacific Cloud Machine Learning Platform Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Cloud Machine Learning Platform Market Size (2019-2030)
9.2 Latin America Cloud Machine Learning Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Cloud Machine Learning Platform Market Size by Country (2019-2024)
9.4 Latin America Cloud Machine Learning Platform Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cloud Machine Learning Platform Market Size (2019-2030)
10.2 Middle East & Africa Cloud Machine Learning Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Cloud Machine Learning Platform Market Size by Country (2019-2024)
10.4 Middle East & Africa Cloud Machine Learning Platform Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google Cloud AI Platform
11.1.1 Google Cloud AI Platform Company Details
11.1.2 Google Cloud AI Platform Business Overview
11.1.3 Google Cloud AI Platform Cloud Machine Learning Platform Introduction
11.1.4 Google Cloud AI Platform Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.1.5 Google Cloud AI Platform Recent Development
11.2 AWS SageMaker
11.2.1 AWS SageMaker Company Details
11.2.2 AWS SageMaker Business Overview
11.2.3 AWS SageMaker Cloud Machine Learning Platform Introduction
11.2.4 AWS SageMaker Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.2.5 AWS SageMaker Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Details
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Cloud Machine Learning Platform Introduction
11.3.4 NVIDIA Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.3.5 NVIDIA Recent Development
11.4 IBM Watson Studio
11.4.1 IBM Watson Studio Company Details
11.4.2 IBM Watson Studio Business Overview
11.4.3 IBM Watson Studio Cloud Machine Learning Platform Introduction
11.4.4 IBM Watson Studio Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.4.5 IBM Watson Studio Recent Development
11.5 Microsoft Azure
11.5.1 Microsoft Azure Company Details
11.5.2 Microsoft Azure Business Overview
11.5.3 Microsoft Azure Cloud Machine Learning Platform Introduction
11.5.4 Microsoft Azure Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.5.5 Microsoft Azure Recent Development
11.6 BigML
11.6.1 BigML Company Details
11.6.2 BigML Business Overview
11.6.3 BigML Cloud Machine Learning Platform Introduction
11.6.4 BigML Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.6.5 BigML Recent Development
11.7 Databricks
11.7.1 Databricks Company Details
11.7.2 Databricks Business Overview
11.7.3 Databricks Cloud Machine Learning Platform Introduction
11.7.4 Databricks Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.7.5 Databricks Recent Development
11.8 Alibaba Cloud
11.8.1 Alibaba Cloud Company Details
11.8.2 Alibaba Cloud Business Overview
11.8.3 Alibaba Cloud Cloud Machine Learning Platform Introduction
11.8.4 Alibaba Cloud Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.8.5 Alibaba Cloud Recent Development
11.9 Oracle AI Platform Cloud Service
11.9.1 Oracle AI Platform Cloud Service Company Details
11.9.2 Oracle AI Platform Cloud Service Business Overview
11.9.3 Oracle AI Platform Cloud Service Cloud Machine Learning Platform Introduction
11.9.4 Oracle AI Platform Cloud Service Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.9.5 Oracle AI Platform Cloud Service Recent Development
11.10 H2O.ai
11.10.1 H2O.ai Company Details
11.10.2 H2O.ai Business Overview
11.10.3 H2O.ai Cloud Machine Learning Platform Introduction
11.10.4 H2O.ai Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.10.5 H2O.ai Recent Development
11.11 TensorFlow Cloud
11.11.1 TensorFlow Cloud Company Details
11.11.2 TensorFlow Cloud Business Overview
11.11.3 TensorFlow Cloud Cloud Machine Learning Platform Introduction
11.11.4 TensorFlow Cloud Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.11.5 TensorFlow Cloud Recent Development
11.12 RapidMiner AI Hub
11.12.1 RapidMiner AI Hub Company Details
11.12.2 RapidMiner AI Hub Business Overview
11.12.3 RapidMiner AI Hub Cloud Machine Learning Platform Introduction
11.12.4 RapidMiner AI Hub Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.12.5 RapidMiner AI Hub Recent Development
11.13 DataRobot
11.13.1 DataRobot Company Details
11.13.2 DataRobot Business Overview
11.13.3 DataRobot Cloud Machine Learning Platform Introduction
11.13.4 DataRobot Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.13.5 DataRobot Recent Development
11.14 TIBCO Software
11.14.1 TIBCO Software Company Details
11.14.2 TIBCO Software Business Overview
11.14.3 TIBCO Software Cloud Machine Learning Platform Introduction
11.14.4 TIBCO Software Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.14.5 TIBCO Software Recent Development
11.15 Dataiku
11.15.1 Dataiku Company Details
11.15.2 Dataiku Business Overview
11.15.3 Dataiku Cloud Machine Learning Platform Introduction
11.15.4 Dataiku Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.15.5 Dataiku Recent Development
11.16 Snowflake Data Cloud
11.16.1 Snowflake Data Cloud Company Details
11.16.2 Snowflake Data Cloud Business Overview
11.16.3 Snowflake Data Cloud Cloud Machine Learning Platform Introduction
11.16.4 Snowflake Data Cloud Revenue in Cloud Machine Learning Platform Business (2019-2024)
11.16.5 Snowflake Data Cloud Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

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

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