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Cloud Machine Learning-Global Market Insights and Sales Trends 2025
Synopsis
Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.
The global Cloud Machine Learning market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Cloud Machine Learning in various end use industries. The expanding demands from the Personal and Business, are propelling Cloud Machine Learning market. Private Clouds Machine Learning, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Public Clouds Machine Learning segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Cloud Machine Learning market, driven by demand from China, the second largest economy with some signs of stabilising, the Cloud Machine Learning market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Cloud Machine Learning, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Cloud Machine Learning market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Cloud Machine Learning market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Cloud Machine Learning sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Cloud Machine Learning covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Cloud Machine Learning market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Amazon
Oracle
IBM
Microsoftn
Google
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC(Computer Science Corporation)
Heroku
Clustrix
Xeround
Global Cloud Machine Learning market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Cloud Machine Learning market, Segment by Type:
Private Clouds Machine Learning
Public Clouds Machine Learning
Hybrid Cloud Machine Learning
Global Cloud Machine Learning market, by Application
Personal
Business
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Cloud Machine Learning companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.
The global Cloud Machine Learning market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Cloud Machine Learning in various end use industries. The expanding demands from the Personal and Business, are propelling Cloud Machine Learning market. Private Clouds Machine Learning, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Public Clouds Machine Learning segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Cloud Machine Learning market, driven by demand from China, the second largest economy with some signs of stabilising, the Cloud Machine Learning market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Cloud Machine Learning, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Cloud Machine Learning market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Cloud Machine Learning market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Cloud Machine Learning sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Cloud Machine Learning covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Cloud Machine Learning market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Amazon
Oracle
IBM
Microsoftn
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC(Computer Science Corporation)
Heroku
Clustrix
Xeround
Global Cloud Machine Learning market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Cloud Machine Learning market, Segment by Type:
Private Clouds Machine Learning
Public Clouds Machine Learning
Hybrid Cloud Machine Learning
Global Cloud Machine Learning market, by Application
Personal
Business
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Cloud Machine Learning companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Cloud Machine Learning
1.1 Cloud Machine Learning Market Overview
1.1.1 Cloud Machine Learning Product Scope
1.1.2 Cloud Machine Learning Market Status and Outlook
1.2 Global Cloud Machine Learning Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Cloud Machine Learning Market Size by Region (2018-2029)
1.4 Global Cloud Machine Learning Historic Market Size by Region (2018-2023)
1.5 Global Cloud Machine Learning Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Cloud Machine Learning Market Size (2018-2029)
1.6.1 North America Cloud Machine Learning Market Size (2018-2029)
1.6.2 Europe Cloud Machine Learning Market Size (2018-2029)
1.6.3 Asia-Pacific Cloud Machine Learning Market Size (2018-2029)
1.6.4 Latin America Cloud Machine Learning Market Size (2018-2029)
1.6.5 Middle East & Africa Cloud Machine Learning Market Size (2018-2029)
2 Cloud Machine Learning Market by Type
2.1 Introduction
2.1.1 Private Clouds Machine Learning
2.1.2 Public Clouds Machine Learning
2.1.3 Hybrid Cloud Machine Learning
2.2 Global Cloud Machine Learning Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Cloud Machine Learning Historic Market Size by Type (2018-2023)
2.2.2 Global Cloud Machine Learning Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Cloud Machine Learning Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Cloud Machine Learning Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Cloud Machine Learning Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Cloud Machine Learning Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Cloud Machine Learning Revenue Breakdown by Type (2018-2029)
3 Cloud Machine Learning Market Overview by Application
3.1 Introduction
3.1.1 Personal
3.1.2 Business
3.2 Global Cloud Machine Learning Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Cloud Machine Learning Historic Market Size by Application (2018-2023)
3.2.2 Global Cloud Machine Learning Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Cloud Machine Learning Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Cloud Machine Learning Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Cloud Machine Learning Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Cloud Machine Learning Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Cloud Machine Learning Revenue Breakdown by Application (2018-2029)
4 Cloud Machine Learning Competition Analysis by Players
4.1 Global Cloud Machine Learning Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Cloud Machine Learning as of 2022)
4.3 Date of Key Players Enter into Cloud Machine Learning Market
4.4 Global Top Players Cloud Machine Learning Headquarters and Area Served
4.5 Key Players Cloud Machine Learning Product Solution and Service
4.6 Competitive Status
4.6.1 Cloud Machine Learning Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Amazon
5.1.1 Amazon Profile
5.1.2 Amazon Main Business
5.1.3 Amazon Cloud Machine Learning Products, Services and Solutions
5.1.4 Amazon Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.1.5 Amazon Recent Developments
5.2 Oracle
5.2.1 Oracle Profile
5.2.2 Oracle Main Business
5.2.3 Oracle Cloud Machine Learning Products, Services and Solutions
5.2.4 Oracle Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.2.5 Oracle Recent Developments
5.3 IBM
5.3.1 IBM Profile
5.3.2 IBM Main Business
5.3.3 IBM Cloud Machine Learning Products, Services and Solutions
5.3.4 IBM Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.3.5 Microsoftn Recent Developments
5.4 Microsoftn
5.4.1 Microsoftn Profile
5.4.2 Microsoftn Main Business
5.4.3 Microsoftn Cloud Machine Learning Products, Services and Solutions
5.4.4 Microsoftn Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.4.5 Microsoftn Recent Developments
5.5 Google
5.5.1 Google Profile
5.5.2 Google Main Business
5.5.3 Google Cloud Machine Learning Products, Services and Solutions
5.5.4 Google Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.5.5 Google Recent Developments
5.6 Salesforce
5.6.1 Salesforce Profile
5.6.2 Salesforce Main Business
5.6.3 Salesforce Cloud Machine Learning Products, Services and Solutions
5.6.4 Salesforce Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.6.5 Salesforce Recent Developments
5.7 Tencent
5.7.1 Tencent Profile
5.7.2 Tencent Main Business
5.7.3 Tencent Cloud Machine Learning Products, Services and Solutions
5.7.4 Tencent Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.7.5 Tencent Recent Developments
5.8 Alibaba
5.8.1 Alibaba Profile
5.8.2 Alibaba Main Business
5.8.3 Alibaba Cloud Machine Learning Products, Services and Solutions
5.8.4 Alibaba Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.8.5 Alibaba Recent Developments
5.9 UCloud
5.9.1 UCloud Profile
5.9.2 UCloud Main Business
5.9.3 UCloud Cloud Machine Learning Products, Services and Solutions
5.9.4 UCloud Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.9.5 UCloud Recent Developments
5.10 Baidu
5.10.1 Baidu Profile
5.10.2 Baidu Main Business
5.10.3 Baidu Cloud Machine Learning Products, Services and Solutions
5.10.4 Baidu Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.10.5 Baidu Recent Developments
5.11 Rackspace
5.11.1 Rackspace Profile
5.11.2 Rackspace Main Business
5.11.3 Rackspace Cloud Machine Learning Products, Services and Solutions
5.11.4 Rackspace Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.11.5 Rackspace Recent Developments
5.12 SAP AG
5.12.1 SAP AG Profile
5.12.2 SAP AG Main Business
5.12.3 SAP AG Cloud Machine Learning Products, Services and Solutions
5.12.4 SAP AG Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.12.5 SAP AG Recent Developments
5.13 Century Link Inc.
5.13.1 Century Link Inc. Profile
5.13.2 Century Link Inc. Main Business
5.13.3 Century Link Inc. Cloud Machine Learning Products, Services and Solutions
5.13.4 Century Link Inc. Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.13.5 Century Link Inc. Recent Developments
5.14 CSC(Computer Science Corporation)
5.14.1 CSC(Computer Science Corporation) Profile
5.14.2 CSC(Computer Science Corporation) Main Business
5.14.3 CSC(Computer Science Corporation) Cloud Machine Learning Products, Services and Solutions
5.14.4 CSC(Computer Science Corporation) Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.14.5 CSC(Computer Science Corporation) Recent Developments
5.15 Heroku
5.15.1 Heroku Profile
5.15.2 Heroku Main Business
5.15.3 Heroku Cloud Machine Learning Products, Services and Solutions
5.15.4 Heroku Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.15.5 Heroku Recent Developments
5.16 Clustrix
5.16.1 Clustrix Profile
5.16.2 Clustrix Main Business
5.16.3 Clustrix Cloud Machine Learning Products, Services and Solutions
5.16.4 Clustrix Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.16.5 Clustrix Recent Developments
5.17 Xeround
5.17.1 Xeround Profile
5.17.2 Xeround Main Business
5.17.3 Xeround Cloud Machine Learning Products, Services and Solutions
5.17.4 Xeround Cloud Machine Learning Revenue (US$ Million) & (2018-2023)
5.17.5 Xeround Recent Developments
6 North America
6.1 North America Cloud Machine Learning Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Cloud Machine Learning Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Cloud Machine Learning Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Cloud Machine Learning Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Cloud Machine Learning Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Cloud Machine Learning Market Dynamics
11.1 Cloud Machine Learning Industry Trends
11.2 Cloud Machine Learning Market Drivers
11.3 Cloud Machine Learning Market Challenges
11.4 Cloud Machine Learning Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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