
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 market for Machine Learning Data Catalog Software was estimated to be worth US$ 476 million in 2023 and is forecast to a readjusted size of US$ 867.9 million by 2030 with 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Learning Data Catalog Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Learning Data Catalog Software by region & country, by Type, and by Application.
The Machine Learning Data Catalog Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Machine Learning Data Catalog Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Machine Learning Data Catalog Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Machine Learning Data Catalog Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Machine Learning Data Catalog Software Product Introduction
1.2 Global Machine Learning Data Catalog Software Market Size Forecast
1.3 Machine Learning Data Catalog Software Market Trends & Drivers
1.3.1 Machine Learning Data Catalog Software Industry Trends
1.3.2 Machine Learning Data Catalog Software Market Drivers & Opportunity
1.3.3 Machine Learning Data Catalog Software Market Challenges
1.3.4 Machine Learning Data Catalog Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Learning Data Catalog Software Players Revenue Ranking (2023)
2.2 Global Machine Learning Data Catalog Software Revenue by Company (2019-2024)
2.3 Key Companies Machine Learning Data Catalog Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Learning Data Catalog Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Learning Data Catalog Software
2.6 Machine Learning Data Catalog Software Market Competitive Analysis
2.6.1 Machine Learning Data Catalog Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Learning Data Catalog Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning Data Catalog Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 Web Based
3.2 Global Machine Learning Data Catalog Software Sales Value by Type
3.2.1 Global Machine Learning Data Catalog Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Learning Data Catalog Software Sales Value, by Type (2019-2030)
3.2.3 Global Machine Learning Data Catalog Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Machine Learning Data Catalog Software Sales Value by Application
4.2.1 Global Machine Learning Data Catalog Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Learning Data Catalog Software Sales Value, by Application (2019-2030)
4.2.3 Global Machine Learning Data Catalog Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Learning Data Catalog Software Sales Value by Region
5.1.1 Global Machine Learning Data Catalog Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Learning Data Catalog Software Sales Value by Region (2019-2024)
5.1.3 Global Machine Learning Data Catalog Software Sales Value by Region (2025-2030)
5.1.4 Global Machine Learning Data Catalog Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Learning Data Catalog Software Sales Value, 2019-2030
5.2.2 North America Machine Learning Data Catalog Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Learning Data Catalog Software Sales Value, 2019-2030
5.3.2 Europe Machine Learning Data Catalog Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Learning Data Catalog Software Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Learning Data Catalog Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Learning Data Catalog Software Sales Value, 2019-2030
5.5.2 South America Machine Learning Data Catalog Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Learning Data Catalog Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Learning Data Catalog Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Learning Data Catalog Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Learning Data Catalog Software Sales Value
6.3 United States
6.3.1 United States Machine Learning Data Catalog Software Sales Value, 2019-2030
6.3.2 United States Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Learning Data Catalog Software Sales Value, 2019-2030
6.4.2 Europe Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Learning Data Catalog Software Sales Value, 2019-2030
6.5.2 China Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Learning Data Catalog Software Sales Value, 2019-2030
6.6.2 Japan Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Learning Data Catalog Software Sales Value, 2019-2030
6.7.2 South Korea Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Learning Data Catalog Software Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Learning Data Catalog Software Sales Value, 2019-2030
6.9.2 India Machine Learning Data Catalog Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Learning Data Catalog Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Machine Learning Data Catalog Software Products, Services and Solutions
7.1.4 IBM Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Alation
7.2.1 Alation Profile
7.2.2 Alation Main Business
7.2.3 Alation Machine Learning Data Catalog Software Products, Services and Solutions
7.2.4 Alation Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.2.5 Alation Recent Developments
7.3 Oracle
7.3.1 Oracle Profile
7.3.2 Oracle Main Business
7.3.3 Oracle Machine Learning Data Catalog Software Products, Services and Solutions
7.3.4 Oracle Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.3.5 Cloudera Recent Developments
7.4 Cloudera
7.4.1 Cloudera Profile
7.4.2 Cloudera Main Business
7.4.3 Cloudera Machine Learning Data Catalog Software Products, Services and Solutions
7.4.4 Cloudera Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.4.5 Cloudera Recent Developments
7.5 Unifi
7.5.1 Unifi Profile
7.5.2 Unifi Main Business
7.5.3 Unifi Machine Learning Data Catalog Software Products, Services and Solutions
7.5.4 Unifi Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.5.5 Unifi Recent Developments
7.6 Anzo Smart Data Lake (ASDL)
7.6.1 Anzo Smart Data Lake (ASDL) Profile
7.6.2 Anzo Smart Data Lake (ASDL) Main Business
7.6.3 Anzo Smart Data Lake (ASDL) Machine Learning Data Catalog Software Products, Services and Solutions
7.6.4 Anzo Smart Data Lake (ASDL) Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.6.5 Anzo Smart Data Lake (ASDL) Recent Developments
7.7 Collibra
7.7.1 Collibra Profile
7.7.2 Collibra Main Business
7.7.3 Collibra Machine Learning Data Catalog Software Products, Services and Solutions
7.7.4 Collibra Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.7.5 Collibra Recent Developments
7.8 Informatica
7.8.1 Informatica Profile
7.8.2 Informatica Main Business
7.8.3 Informatica Machine Learning Data Catalog Software Products, Services and Solutions
7.8.4 Informatica Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.8.5 Informatica Recent Developments
7.9 Hortonworks
7.9.1 Hortonworks Profile
7.9.2 Hortonworks Main Business
7.9.3 Hortonworks Machine Learning Data Catalog Software Products, Services and Solutions
7.9.4 Hortonworks Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.9.5 Hortonworks Recent Developments
7.10 Reltio
7.10.1 Reltio Profile
7.10.2 Reltio Main Business
7.10.3 Reltio Machine Learning Data Catalog Software Products, Services and Solutions
7.10.4 Reltio Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.10.5 Reltio Recent Developments
7.11 Talend
7.11.1 Talend Profile
7.11.2 Talend Main Business
7.11.3 Talend Machine Learning Data Catalog Software Products, Services and Solutions
7.11.4 Talend Machine Learning Data Catalog Software Revenue (US$ Million) & (2019-2024)
7.11.5 Talend Recent Developments
8 Industry Chain Analysis
8.1 Machine Learning Data Catalog Software Industrial Chain
8.2 Machine Learning Data Catalog Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Machine Learning Data Catalog Software Sales Model
8.5.2 Sales Channel
8.5.3 Machine Learning Data Catalog Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM
Alation
Oracle
Cloudera
Unifi
Anzo Smart Data Lake (ASDL)
Collibra
Informatica
Hortonworks
Reltio
Talend
Ìý
Ìý
*If Applicable.
