The global market for Machine Learning Framework was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
North American market for Machine Learning Framework is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Machine Learning Framework is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Machine Learning Framework in SMEs is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Machine Learning Framework include TensorFlow, IBM Watson Studio, Amazon, Microsoft, OpenNN, Auto-WEKA, Datawrapper, Google, MLJAR, Tableau, etc. In 2024, 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 Machine Learning Framework, 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 Machine Learning Framework.
The Machine Learning Framework market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Machine Learning Framework 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 Machine Learning Framework 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
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
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 Machine Learning Framework 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.
1 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: 2020 VS 2024 VS 2031
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: 2020 VS 2024 VS 2031
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Framework Market Perspective (2020-2031)
2.2 Global Machine Learning Framework Growth Trends by Region
2.2.1 Global Machine Learning Framework Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Machine Learning Framework Historic Market Size by Region (2020-2025)
2.2.3 Machine Learning Framework Forecasted Market Size by Region (2026-2031)
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 (2020-2025)
3.1.2 Global Machine Learning Framework Revenue Market Share by Players (2020-2025)
3.2 Global Machine Learning Framework Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players 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 2024
3.5 Global Key Players of Machine Learning Framework Head office and Area Served
3.6 Global Key Players of Machine Learning Framework, Product and Application
3.7 Global Key Players of Machine Learning Framework, Date of Enter into This Industry
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 (2020-2025)
4.2 Global Machine Learning Framework Forecasted Market Size by Type (2026-2031)
5 Machine Learning Framework Breakdown Data by Application
5.1 Global Machine Learning Framework Historic Market Size by Application (2020-2025)
5.2 Global Machine Learning Framework Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Machine Learning Framework Market Size (2020-2031)
6.2 North America Machine Learning Framework Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Machine Learning Framework Market Size by Country (2020-2025)
6.4 North America Machine Learning Framework Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Framework Market Size (2020-2031)
7.2 Europe Machine Learning Framework Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Machine Learning Framework Market Size by Country (2020-2025)
7.4 Europe Machine Learning Framework Market Size by Country (2026-2031)
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 (2020-2031)
8.2 Asia-Pacific Machine Learning Framework Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Machine Learning Framework Market Size by Region (2020-2025)
8.4 Asia-Pacific Machine Learning Framework Market Size by Region (2026-2031)
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 (2020-2031)
9.2 Latin America Machine Learning Framework Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Machine Learning Framework Market Size by Country (2020-2025)
9.4 Latin America Machine Learning Framework Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Framework Market Size (2020-2031)
10.2 Middle East & Africa Machine Learning Framework Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Machine Learning Framework Market Size by Country (2020-2025)
10.4 Middle East & Africa Machine Learning Framework Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 TensorFlow
11.1.1 TensorFlow Company Details
11.1.2 TensorFlow Business Overview
11.1.3 TensorFlow Machine Learning Framework Introduction
11.1.4 TensorFlow Revenue in Machine Learning Framework Business (2020-2025)
11.1.5 TensorFlow Recent Development
11.2 IBM Watson Studio
11.2.1 IBM Watson Studio Company Details
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 (2020-2025)
11.2.5 IBM Watson Studio Recent Development
11.3 Amazon
11.3.1 Amazon Company Details
11.3.2 Amazon Business Overview
11.3.3 Amazon Machine Learning Framework Introduction
11.3.4 Amazon Revenue in Machine Learning Framework Business (2020-2025)
11.3.5 Amazon Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Details
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Machine Learning Framework Introduction
11.4.4 Microsoft Revenue in Machine Learning Framework Business (2020-2025)
11.4.5 Microsoft Recent Development
11.5 OpenNN
11.5.1 OpenNN Company Details
11.5.2 OpenNN Business Overview
11.5.3 OpenNN Machine Learning Framework Introduction
11.5.4 OpenNN Revenue in Machine Learning Framework Business (2020-2025)
11.5.5 OpenNN Recent Development
11.6 Auto-WEKA
11.6.1 Auto-WEKA Company Details
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 (2020-2025)
11.6.5 Auto-WEKA Recent Development
11.7 Datawrapper
11.7.1 Datawrapper Company Details
11.7.2 Datawrapper Business Overview
11.7.3 Datawrapper Machine Learning Framework Introduction
11.7.4 Datawrapper Revenue in Machine Learning Framework Business (2020-2025)
11.7.5 Datawrapper Recent Development
11.8 Google
11.8.1 Google Company Details
11.8.2 Google Business Overview
11.8.3 Google Machine Learning Framework Introduction
11.8.4 Google Revenue in Machine Learning Framework Business (2020-2025)
11.8.5 Google Recent Development
11.9 MLJAR
11.9.1 MLJAR Company Details
11.9.2 MLJAR Business Overview
11.9.3 MLJAR Machine Learning Framework Introduction
11.9.4 MLJAR Revenue in Machine Learning Framework Business (2020-2025)
11.9.5 MLJAR Recent Development
11.10 Tableau
11.10.1 Tableau Company Details
11.10.2 Tableau Business Overview
11.10.3 Tableau Machine Learning Framework Introduction
11.10.4 Tableau Revenue in Machine Learning Framework Business (2020-2025)
11.10.5 Tableau Recent Development
11.11 PyTorch
11.11.1 PyTorch Company Details
11.11.2 PyTorch Business Overview
11.11.3 PyTorch Machine Learning Framework Introduction
11.11.4 PyTorch Revenue in Machine Learning Framework Business (2020-2025)
11.11.5 PyTorch Recent Development
11.12 Apache Mahout
11.12.1 Apache Mahout Company Details
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 (2020-2025)
11.12.5 Apache Mahout Recent Development
11.13 Keras
11.13.1 Keras Company Details
11.13.2 Keras Business Overview
11.13.3 Keras Machine Learning Framework Introduction
11.13.4 Keras Revenue in Machine Learning Framework Business (2020-2025)
11.13.5 Keras Recent Development
11.14 Shogun
11.14.1 Shogun Company Details
11.14.2 Shogun Business Overview
11.14.3 Shogun Machine Learning Framework Introduction
11.14.4 Shogun Revenue in Machine Learning Framework Business (2020-2025)
11.14.5 Shogun Recent Development
11.15 RapidMiner
11.15.1 RapidMiner Company Details
11.15.2 RapidMiner Business Overview
11.15.3 RapidMiner Machine Learning Framework Introduction
11.15.4 RapidMiner Revenue in Machine Learning Framework Business (2020-2025)
11.15.5 RapidMiner Recent Development
11.16 Neural Designer
11.16.1 Neural Designer Company Details
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 (2020-2025)
11.16.5 Neural Designer Recent Development
11.17 Scikit-learn
11.17.1 Scikit-learn Company Details
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 (2020-2025)
11.17.5 Scikit-learn Recent Development
11.18 KNIME
11.18.1 KNIME Company Details
11.18.2 KNIME Business Overview
11.18.3 KNIME Machine Learning Framework Introduction
11.18.4 KNIME Revenue in Machine Learning Framework Business (2020-2025)
11.18.5 KNIME Recent Development
11.19 Spell
11.19.1 Spell Company Details
11.19.2 Spell Business Overview
11.19.3 Spell Machine Learning Framework Introduction
11.19.4 Spell Revenue in Machine Learning Framework Business (2020-2025)
11.19.5 Spell Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 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
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
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*If Applicable.
