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Global Machine Learning Data Catalog Software Market Research Report 2025
Synopsis
Machine Learning Data Catalog Software is a type of software that provides data scientists and analysts with a platform to discover, organize, and document data sets that are suitable for machine learning projects. Machine Learning Data Catalog Software aims to improve the quality, efficiency, and reliability of machine learning data preparation, as well as enhance the collaboration and governance of data teams.
The global Machine Learning Data Catalog Software market was valued at US$ 476 million in 2023 and is anticipated to reach US$ 867.9 million by 2030, witnessing a CAGR of 8.5% during the forecast period 2024-2030.
The industry trend of Machine Learning Data Catalog Software is driven by the changing consumer behavior and expectations, the increasing competition and innovation in the market, and the advancement of technology and digitalization. Some of the key trends are:
Artificial Intelligence (AI): AI is a technology that enables machines to perform tasks that require human intelligence, such as reasoning, learning, decision making, and natural language processing. AI can help improve the quality and efficiency of machine learning data catalog by automating tasks, providing insights, enhancing security, and personalizing experiences.
Cloud Computing: Cloud computing is a technology that provides on-demand access to shared computing resources over the internet. Cloud computing can help reduce the cost and complexity of machine learning data catalog by offering scalability, flexibility, reliability, and accessibility.
Data Governance: Data governance is a set of policies, procedures, and standards that define how data is collected, stored, used, and shared within an organization or across organizations. Data governance can help enhance the visibility and control of machine learning data catalog by ensuring data quality, consistency, compliance, and security.
Data Literacy: Data literacy is the ability to read, understand, analyze, and communicate with data effectively. Data literacy can help increase the value and impact of machine learning data catalog by empowering users to make informed decisions based on data evidence.
This report aims to provide a comprehensive presentation of the global market for Machine Learning Data Catalog Software, 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 Data Catalog Software.
Report Scope
The Machine Learning Data Catalog Software market size, estimations, and forecasts are provided in terms of 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 Machine Learning Data Catalog Software 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 Data Catalog Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
IBM
Alation
Oracle
Cloudera
Unifi
Anzo Smart Data Lake (ASDL)
Collibra
Informatica
Hortonworks
Reltio
Talend
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
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
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 Data Catalog Software companies’ 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.
Machine Learning Data Catalog Software is a type of software that provides data scientists and analysts with a platform to discover, organize, and document data sets that are suitable for machine learning projects. Machine Learning Data Catalog Software aims to improve the quality, efficiency, and reliability of machine learning data preparation, as well as enhance the collaboration and governance of data teams.
The global Machine Learning Data Catalog Software market was valued at US$ 476 million in 2023 and is anticipated to reach US$ 867.9 million by 2030, witnessing a CAGR of 8.5% during the forecast period 2024-2030.
The industry trend of Machine Learning Data Catalog Software is driven by the changing consumer behavior and expectations, the increasing competition and innovation in the market, and the advancement of technology and digitalization. Some of the key trends are:
Artificial Intelligence (AI): AI is a technology that enables machines to perform tasks that require human intelligence, such as reasoning, learning, decision making, and natural language processing. AI can help improve the quality and efficiency of machine learning data catalog by automating tasks, providing insights, enhancing security, and personalizing experiences.
Cloud Computing: Cloud computing is a technology that provides on-demand access to shared computing resources over the internet. Cloud computing can help reduce the cost and complexity of machine learning data catalog by offering scalability, flexibility, reliability, and accessibility.
Data Governance: Data governance is a set of policies, procedures, and standards that define how data is collected, stored, used, and shared within an organization or across organizations. Data governance can help enhance the visibility and control of machine learning data catalog by ensuring data quality, consistency, compliance, and security.
Data Literacy: Data literacy is the ability to read, understand, analyze, and communicate with data effectively. Data literacy can help increase the value and impact of machine learning data catalog by empowering users to make informed decisions based on data evidence.
This report aims to provide a comprehensive presentation of the global market for Machine Learning Data Catalog Software, 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 Data Catalog Software.
Report Scope
The Machine Learning Data Catalog Software market size, estimations, and forecasts are provided in terms of 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 Machine Learning Data Catalog Software 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 Data Catalog Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
IBM
Alation
Oracle
Cloudera
Unifi
Anzo Smart Data Lake (ASDL)
Collibra
Informatica
Hortonworks
Reltio
Talend
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
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
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 Data Catalog Software companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Data Catalog Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Machine Learning Data Catalog Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Data Catalog Software Market Perspective (2019-2030)
2.2 Machine Learning Data Catalog Software Growth Trends by Region
2.2.1 Global Machine Learning Data Catalog Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Data Catalog Software Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Data Catalog Software Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Data Catalog Software Market Dynamics
2.3.1 Machine Learning Data Catalog Software Industry Trends
2.3.2 Machine Learning Data Catalog Software Market Drivers
2.3.3 Machine Learning Data Catalog Software Market Challenges
2.3.4 Machine Learning Data Catalog Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Data Catalog Software Players by Revenue
3.1.1 Global Top Machine Learning Data Catalog Software Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Data Catalog Software Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Data Catalog Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Data Catalog Software Revenue
3.4 Global Machine Learning Data Catalog Software Market Concentration Ratio
3.4.1 Global Machine Learning Data Catalog Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Data Catalog Software Revenue in 2023
3.5 Machine Learning Data Catalog Software Key Players Head office and Area Served
3.6 Key Players Machine Learning Data Catalog Software Product Solution and Service
3.7 Date of Enter into Machine Learning Data Catalog Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Data Catalog Software Breakdown Data by Type
4.1 Global Machine Learning Data Catalog Software Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Data Catalog Software Forecasted Market Size by Type (2025-2030)
5 Machine Learning Data Catalog Software Breakdown Data by Application
5.1 Global Machine Learning Data Catalog Software Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Data Catalog Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Data Catalog Software Market Size (2019-2030)
6.2 North America Machine Learning Data Catalog Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Data Catalog Software Market Size by Country (2019-2024)
6.4 North America Machine Learning Data Catalog Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Data Catalog Software Market Size (2019-2030)
7.2 Europe Machine Learning Data Catalog Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Data Catalog Software Market Size by Country (2019-2024)
7.4 Europe Machine Learning Data Catalog Software 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 Machine Learning Data Catalog Software Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Data Catalog Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Data Catalog Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Data Catalog Software 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 Machine Learning Data Catalog Software Market Size (2019-2030)
9.2 Latin America Machine Learning Data Catalog Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Data Catalog Software Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Data Catalog Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Data Catalog Software Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Data Catalog Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Data Catalog Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Data Catalog Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Machine Learning Data Catalog Software Introduction
11.1.4 IBM Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Alation
11.2.1 Alation Company Detail
11.2.2 Alation Business Overview
11.2.3 Alation Machine Learning Data Catalog Software Introduction
11.2.4 Alation Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.2.5 Alation Recent Development
11.3 Oracle
11.3.1 Oracle Company Detail
11.3.2 Oracle Business Overview
11.3.3 Oracle Machine Learning Data Catalog Software Introduction
11.3.4 Oracle Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.3.5 Oracle Recent Development
11.4 Cloudera
11.4.1 Cloudera Company Detail
11.4.2 Cloudera Business Overview
11.4.3 Cloudera Machine Learning Data Catalog Software Introduction
11.4.4 Cloudera Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.4.5 Cloudera Recent Development
11.5 Unifi
11.5.1 Unifi Company Detail
11.5.2 Unifi Business Overview
11.5.3 Unifi Machine Learning Data Catalog Software Introduction
11.5.4 Unifi Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.5.5 Unifi Recent Development
11.6 Anzo Smart Data Lake (ASDL)
11.6.1 Anzo Smart Data Lake (ASDL) Company Detail
11.6.2 Anzo Smart Data Lake (ASDL) Business Overview
11.6.3 Anzo Smart Data Lake (ASDL) Machine Learning Data Catalog Software Introduction
11.6.4 Anzo Smart Data Lake (ASDL) Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.6.5 Anzo Smart Data Lake (ASDL) Recent Development
11.7 Collibra
11.7.1 Collibra Company Detail
11.7.2 Collibra Business Overview
11.7.3 Collibra Machine Learning Data Catalog Software Introduction
11.7.4 Collibra Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.7.5 Collibra Recent Development
11.8 Informatica
11.8.1 Informatica Company Detail
11.8.2 Informatica Business Overview
11.8.3 Informatica Machine Learning Data Catalog Software Introduction
11.8.4 Informatica Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.8.5 Informatica Recent Development
11.9 Hortonworks
11.9.1 Hortonworks Company Detail
11.9.2 Hortonworks Business Overview
11.9.3 Hortonworks Machine Learning Data Catalog Software Introduction
11.9.4 Hortonworks Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.9.5 Hortonworks Recent Development
11.10 Reltio
11.10.1 Reltio Company Detail
11.10.2 Reltio Business Overview
11.10.3 Reltio Machine Learning Data Catalog Software Introduction
11.10.4 Reltio Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.10.5 Reltio Recent Development
11.11 Talend
11.11.1 Talend Company Detail
11.11.2 Talend Business Overview
11.11.3 Talend Machine Learning Data Catalog Software Introduction
11.11.4 Talend Revenue in Machine Learning Data Catalog Software Business (2019-2024)
11.11.5 Talend 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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