Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It鈥檚 called听machine learning听because the model 鈥渓earns鈥� as it is fed more and more data.
The global Machine Learning Tools 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 Tools 91制片厂.
Key companies engaged in the Machine Learning Tools industry include Microsoft, IBM, Google, RStudio, Amazon, Oracle, Meta Platforms, Kira and Databricks, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Machine Learning Tools were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Machine Learning Tools 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 Tools market with multiple angles, which provides sufficient supports to readers鈥� strategy and decision making.
By Company
Microsoft
IBM
Google
RStudio
Amazon
Oracle
Meta Platforms
Kira
Databricks
DataRobot
OpenText
Scikit-learn
Catalyst
XGBoost
LightGBM
Segment by Type
On-Premise
Cloud-Based
Segment by Application
Manufacturing
Retail
Agriculture
Healthcare
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 Tools 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鈥� Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies鈥� Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
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 Tools Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 On-Premise
1.2.3 Cloud-Based
1.3 Market by Application
1.3.1 Global Machine Learning Tools Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Manufacturing
1.3.3 Retail
1.3.4 Agriculture
1.3.5 Healthcare
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Tools Market Perspective (2018-2029)
2.2 Machine Learning Tools Growth Trends by Region
2.2.1 Global Machine Learning Tools Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine Learning Tools Historic Market Size by Region (2018-2023)
2.2.3 Machine Learning Tools Forecasted Market Size by Region (2024-2029)
2.3 Machine Learning Tools Market Dynamics
2.3.1 Machine Learning Tools Industry Trends
2.3.2 Machine Learning Tools Market Drivers
2.3.3 Machine Learning Tools Market Challenges
2.3.4 Machine Learning Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Tools Players by Revenue
3.1.1 Global Top Machine Learning Tools Players by Revenue (2018-2023)
3.1.2 Global Machine Learning Tools Revenue Market Share by Players (2018-2023)
3.2 Global Machine Learning Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Tools Revenue
3.4 Global Machine Learning Tools Market Concentration Ratio
3.4.1 Global Machine Learning Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Tools Revenue in 2022
3.5 Machine Learning Tools Key Players Head office and Area Served
3.6 Key Players Machine Learning Tools Product Solution and Service
3.7 Date of Enter into Machine Learning Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Tools Breakdown Data by Type
4.1 Global Machine Learning Tools Historic Market Size by Type (2018-2023)
4.2 Global Machine Learning Tools Forecasted Market Size by Type (2024-2029)
5 Machine Learning Tools Breakdown Data by Application
5.1 Global Machine Learning Tools Historic Market Size by Application (2018-2023)
5.2 Global Machine Learning Tools Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine Learning Tools Market Size (2018-2029)
6.2 North America Machine Learning Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine Learning Tools Market Size by Country (2018-2023)
6.4 North America Machine Learning Tools Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Tools Market Size (2018-2029)
7.2 Europe Machine Learning Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine Learning Tools Market Size by Country (2018-2023)
7.4 Europe Machine Learning Tools 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 Tools Market Size (2018-2029)
8.2 Asia-Pacific Machine Learning Tools Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine Learning Tools Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine Learning Tools 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 Tools Market Size (2018-2029)
9.2 Latin America Machine Learning Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine Learning Tools Market Size by Country (2018-2023)
9.4 Latin America Machine Learning Tools Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Tools Market Size (2018-2029)
10.2 Middle East & Africa Machine Learning Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine Learning Tools Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine Learning Tools Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Machine Learning Tools Introduction
11.1.4 Microsoft Revenue in Machine Learning Tools Business (2018-2023)
11.1.5 Microsoft Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Machine Learning Tools Introduction
11.2.4 IBM Revenue in Machine Learning Tools Business (2018-2023)
11.2.5 IBM Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Machine Learning Tools Introduction
11.3.4 Google Revenue in Machine Learning Tools Business (2018-2023)
11.3.5 Google Recent Development
11.4 RStudio
11.4.1 RStudio Company Detail
11.4.2 RStudio Business Overview
11.4.3 RStudio Machine Learning Tools Introduction
11.4.4 RStudio Revenue in Machine Learning Tools Business (2018-2023)
11.4.5 RStudio Recent Development
11.5 Amazon
11.5.1 Amazon Company Detail
11.5.2 Amazon Business Overview
11.5.3 Amazon Machine Learning Tools Introduction
11.5.4 Amazon Revenue in Machine Learning Tools Business (2018-2023)
11.5.5 Amazon Recent Development
11.6 Oracle
11.6.1 Oracle Company Detail
11.6.2 Oracle Business Overview
11.6.3 Oracle Machine Learning Tools Introduction
11.6.4 Oracle Revenue in Machine Learning Tools Business (2018-2023)
11.6.5 Oracle Recent Development
11.7 Meta Platforms
11.7.1 Meta Platforms Company Detail
11.7.2 Meta Platforms Business Overview
11.7.3 Meta Platforms Machine Learning Tools Introduction
11.7.4 Meta Platforms Revenue in Machine Learning Tools Business (2018-2023)
11.7.5 Meta Platforms Recent Development
11.8 Kira
11.8.1 Kira Company Detail
11.8.2 Kira Business Overview
11.8.3 Kira Machine Learning Tools Introduction
11.8.4 Kira Revenue in Machine Learning Tools Business (2018-2023)
11.8.5 Kira Recent Development
11.9 Databricks
11.9.1 Databricks Company Detail
11.9.2 Databricks Business Overview
11.9.3 Databricks Machine Learning Tools Introduction
11.9.4 Databricks Revenue in Machine Learning Tools Business (2018-2023)
11.9.5 Databricks Recent Development
11.10 DataRobot
11.10.1 DataRobot Company Detail
11.10.2 DataRobot Business Overview
11.10.3 DataRobot Machine Learning Tools Introduction
11.10.4 DataRobot Revenue in Machine Learning Tools Business (2018-2023)
11.10.5 DataRobot Recent Development
11.11 OpenText
11.11.1 OpenText Company Detail
11.11.2 OpenText Business Overview
11.11.3 OpenText Machine Learning Tools Introduction
11.11.4 OpenText Revenue in Machine Learning Tools Business (2018-2023)
11.11.5 OpenText Recent Development
11.12 Scikit-learn
11.12.1 Scikit-learn Company Detail
11.12.2 Scikit-learn Business Overview
11.12.3 Scikit-learn Machine Learning Tools Introduction
11.12.4 Scikit-learn Revenue in Machine Learning Tools Business (2018-2023)
11.12.5 Scikit-learn Recent Development
11.13 Catalyst
11.13.1 Catalyst Company Detail
11.13.2 Catalyst Business Overview
11.13.3 Catalyst Machine Learning Tools Introduction
11.13.4 Catalyst Revenue in Machine Learning Tools Business (2018-2023)
11.13.5 Catalyst Recent Development
11.14 XGBoost
11.14.1 XGBoost Company Detail
11.14.2 XGBoost Business Overview
11.14.3 XGBoost Machine Learning Tools Introduction
11.14.4 XGBoost Revenue in Machine Learning Tools Business (2018-2023)
11.14.5 XGBoost Recent Development
11.15 LightGBM
11.15.1 LightGBM Company Detail
11.15.2 LightGBM Business Overview
11.15.3 LightGBM Machine Learning Tools Introduction
11.15.4 LightGBM Revenue in Machine Learning Tools Business (2018-2023)
11.15.5 LightGBM 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
Microsoft
IBM
Google
RStudio
Amazon
Oracle
Meta Platforms
Kira
Databricks
DataRobot
OpenText
Scikit-learn
Catalyst
XGBoost
LightGBM
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听
*If Applicable.
