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Global Machine Learning Framework Market Research Report 2024
Synopsis
Global Machine Learning Framework market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Machine Learning Framework market research.
Key companies engaged in the Machine Learning Framework industry include TensorFlow, IBM Watson Studio, Amazon, Microsoft, OpenNN, Auto-WEKA, Datawrapper, Google and MLJAR, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Machine Learning Framework were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Machine Learning Framework market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Machine Learning Framework market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
TensorFlow
IBM Watson Studio
Amazon
Microsoft
OpenNN
Auto-WEKA
Datawrapper
Google
MLJAR
Tableau
PyTorch
Apache Mahout
Keras
Shogun
RapidMiner
Neural Designer
Scikit-learn
KNIME
Spell
Segment by Type
Cloud-based
On-premises
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Machine Learning Framework report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies' Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Global Machine Learning Framework market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Machine Learning Framework market research.
Key companies engaged in the Machine Learning Framework industry include TensorFlow, IBM Watson Studio, Amazon, Microsoft, OpenNN, Auto-WEKA, Datawrapper, Google and MLJAR, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Machine Learning Framework were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Machine Learning Framework market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Machine Learning Framework market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
TensorFlow
IBM Watson Studio
Amazon
Microsoft
OpenNN
Auto-WEKA
Datawrapper
MLJAR
Tableau
PyTorch
Apache Mahout
Keras
Shogun
RapidMiner
Neural Designer
Scikit-learn
KNIME
Spell
Segment by Type
Cloud-based
On-premises
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Machine Learning Framework report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies' Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Framework Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Machine Learning Framework Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Framework Market Perspective (2018-2029)
2.2 Machine Learning Framework Growth Trends by Region
2.2.1 Global Machine Learning Framework Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine Learning Framework Historic Market Size by Region (2018-2023)
2.2.3 Machine Learning Framework Forecasted Market Size by Region (2024-2029)
2.3 Machine Learning Framework Market Dynamics
2.3.1 Machine Learning Framework Industry Trends
2.3.2 Machine Learning Framework Market Drivers
2.3.3 Machine Learning Framework Market Challenges
2.3.4 Machine Learning Framework Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Framework Players by Revenue
3.1.1 Global Top Machine Learning Framework Players by Revenue (2018-2023)
3.1.2 Global Machine Learning Framework Revenue Market Share by Players (2018-2023)
3.2 Global Machine Learning Framework Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Framework Revenue
3.4 Global Machine Learning Framework Market Concentration Ratio
3.4.1 Global Machine Learning Framework Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Framework Revenue in 2022
3.5 Machine Learning Framework Key Players Head office and Area Served
3.6 Key Players Machine Learning Framework Product Solution and Service
3.7 Date of Enter into Machine Learning Framework Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Framework Breakdown Data by Type
4.1 Global Machine Learning Framework Historic Market Size by Type (2018-2023)
4.2 Global Machine Learning Framework Forecasted Market Size by Type (2024-2029)
5 Machine Learning Framework Breakdown Data by Application
5.1 Global Machine Learning Framework Historic Market Size by Application (2018-2023)
5.2 Global Machine Learning Framework Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine Learning Framework Market Size (2018-2029)
6.2 North America Machine Learning Framework Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine Learning Framework Market Size by Country (2018-2023)
6.4 North America Machine Learning Framework Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Framework Market Size (2018-2029)
7.2 Europe Machine Learning Framework Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine Learning Framework Market Size by Country (2018-2023)
7.4 Europe Machine Learning Framework Market Size by Country (2024-2029)
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 Machine Learning Framework Market Size (2018-2029)
8.2 Asia-Pacific Machine Learning Framework Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine Learning Framework Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine Learning Framework Market Size by Region (2024-2029)
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 Machine Learning Framework Market Size (2018-2029)
9.2 Latin America Machine Learning Framework Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine Learning Framework Market Size by Country (2018-2023)
9.4 Latin America Machine Learning Framework Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Framework Market Size (2018-2029)
10.2 Middle East & Africa Machine Learning Framework Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine Learning Framework Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine Learning Framework Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 TensorFlow
11.1.1 TensorFlow Company Detail
11.1.2 TensorFlow Business Overview
11.1.3 TensorFlow Machine Learning Framework Introduction
11.1.4 TensorFlow Revenue in Machine Learning Framework Business (2018-2023)
11.1.5 TensorFlow Recent Development
11.2 IBM Watson Studio
11.2.1 IBM Watson Studio Company Detail
11.2.2 IBM Watson Studio Business Overview
11.2.3 IBM Watson Studio Machine Learning Framework Introduction
11.2.4 IBM Watson Studio Revenue in Machine Learning Framework Business (2018-2023)
11.2.5 IBM Watson Studio Recent Development
11.3 Amazon
11.3.1 Amazon Company Detail
11.3.2 Amazon Business Overview
11.3.3 Amazon Machine Learning Framework Introduction
11.3.4 Amazon Revenue in Machine Learning Framework Business (2018-2023)
11.3.5 Amazon Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Machine Learning Framework Introduction
11.4.4 Microsoft Revenue in Machine Learning Framework Business (2018-2023)
11.4.5 Microsoft Recent Development
11.5 OpenNN
11.5.1 OpenNN Company Detail
11.5.2 OpenNN Business Overview
11.5.3 OpenNN Machine Learning Framework Introduction
11.5.4 OpenNN Revenue in Machine Learning Framework Business (2018-2023)
11.5.5 OpenNN Recent Development
11.6 Auto-WEKA
11.6.1 Auto-WEKA Company Detail
11.6.2 Auto-WEKA Business Overview
11.6.3 Auto-WEKA Machine Learning Framework Introduction
11.6.4 Auto-WEKA Revenue in Machine Learning Framework Business (2018-2023)
11.6.5 Auto-WEKA Recent Development
11.7 Datawrapper
11.7.1 Datawrapper Company Detail
11.7.2 Datawrapper Business Overview
11.7.3 Datawrapper Machine Learning Framework Introduction
11.7.4 Datawrapper Revenue in Machine Learning Framework Business (2018-2023)
11.7.5 Datawrapper Recent Development
11.8 Google
11.8.1 Google Company Detail
11.8.2 Google Business Overview
11.8.3 Google Machine Learning Framework Introduction
11.8.4 Google Revenue in Machine Learning Framework Business (2018-2023)
11.8.5 Google Recent Development
11.9 MLJAR
11.9.1 MLJAR Company Detail
11.9.2 MLJAR Business Overview
11.9.3 MLJAR Machine Learning Framework Introduction
11.9.4 MLJAR Revenue in Machine Learning Framework Business (2018-2023)
11.9.5 MLJAR Recent Development
11.10 Tableau
11.10.1 Tableau Company Detail
11.10.2 Tableau Business Overview
11.10.3 Tableau Machine Learning Framework Introduction
11.10.4 Tableau Revenue in Machine Learning Framework Business (2018-2023)
11.10.5 Tableau Recent Development
11.11 PyTorch
11.11.1 PyTorch Company Detail
11.11.2 PyTorch Business Overview
11.11.3 PyTorch Machine Learning Framework Introduction
11.11.4 PyTorch Revenue in Machine Learning Framework Business (2018-2023)
11.11.5 PyTorch Recent Development
11.12 Apache Mahout
11.12.1 Apache Mahout Company Detail
11.12.2 Apache Mahout Business Overview
11.12.3 Apache Mahout Machine Learning Framework Introduction
11.12.4 Apache Mahout Revenue in Machine Learning Framework Business (2018-2023)
11.12.5 Apache Mahout Recent Development
11.13 Keras
11.13.1 Keras Company Detail
11.13.2 Keras Business Overview
11.13.3 Keras Machine Learning Framework Introduction
11.13.4 Keras Revenue in Machine Learning Framework Business (2018-2023)
11.13.5 Keras Recent Development
11.14 Shogun
11.14.1 Shogun Company Detail
11.14.2 Shogun Business Overview
11.14.3 Shogun Machine Learning Framework Introduction
11.14.4 Shogun Revenue in Machine Learning Framework Business (2018-2023)
11.14.5 Shogun Recent Development
11.15 RapidMiner
11.15.1 RapidMiner Company Detail
11.15.2 RapidMiner Business Overview
11.15.3 RapidMiner Machine Learning Framework Introduction
11.15.4 RapidMiner Revenue in Machine Learning Framework Business (2018-2023)
11.15.5 RapidMiner Recent Development
11.16 Neural Designer
11.16.1 Neural Designer Company Detail
11.16.2 Neural Designer Business Overview
11.16.3 Neural Designer Machine Learning Framework Introduction
11.16.4 Neural Designer Revenue in Machine Learning Framework Business (2018-2023)
11.16.5 Neural Designer Recent Development
11.17 Scikit-learn
11.17.1 Scikit-learn Company Detail
11.17.2 Scikit-learn Business Overview
11.17.3 Scikit-learn Machine Learning Framework Introduction
11.17.4 Scikit-learn Revenue in Machine Learning Framework Business (2018-2023)
11.17.5 Scikit-learn Recent Development
11.18 KNIME
11.18.1 KNIME Company Detail
11.18.2 KNIME Business Overview
11.18.3 KNIME Machine Learning Framework Introduction
11.18.4 KNIME Revenue in Machine Learning Framework Business (2018-2023)
11.18.5 KNIME Recent Development
11.19 Spell
11.19.1 Spell Company Detail
11.19.2 Spell Business Overview
11.19.3 Spell Machine Learning Framework Introduction
11.19.4 Spell Revenue in Machine Learning Framework Business (2018-2023)
11.19.5 Spell Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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