Data Catalog Market by Component (Solutions, Services), Deployment Mode (Cloud, On-premises), Data Consumer (BI Tools, Enterprise Applications, Mobile and Web Applications), Organization Size, Metadata Type, Vertical & Region - Global Forecast to 2027
[257 Pages Report] The global Data Catalog Market size was worth approximately $0.7 billion in 2022 and poised to generate revenue around $1.8 billion by the end of 2027, projected a CAGR of 22.0%.
To know about the assumptions considered for the study, Request for Free Sample Report
Data Catalog Market Growth Dynamics
Driver: Rising need to gather insights to form business strategies
As the use of IoT continues to increase, the generation of insights from incoming data is the need of the day. However, most unstructured data, consisting of email correspondences, account information, and old versions of related documents, obtained from various sources, does not help make business decisions. Therefore, companies prefer data catalogs to synthesize and organize their enterprise data from multiple sources into one simple and easy format. Several industry verticals, such as healthcare; banking, financial services, and insurance (BFSI); and retail and eCommerce, are using data catalog solutions to create valuable insights to form business strategies and deliver business-critical decisions.
Restraint: Misconceptions about data security and privacy risks
Security and compliance are a concern for organizations across the globe. As a result, they are reluctant to adopt new solutions involving data handling or data shifting from one platform to another. Due to a lack of proper knowledge about security frameworks and their implementation, many companies perceive that catalog management solutions might lead to data breaches in their highly abstracted data sets.
These misconceptions hinder the adoption of data catalog solutions. Users refrain from using these solutions, fearing they would lose their crucial master data and reference data due to data errors occurring during compilation or upgradation. They fear for the privacy of their data and accountability in case of data loss or theft. The few small and medium-sized enterprises (SMEs) that want to adopt cloud-based data catalog solutions withdraw their decision due to these concerns. For instance, in October 2020, Pfizer, after suffering a data breach, was reluctant to adopt a cloud-based solution due to system integration complexities.
Opportunity: Use of data catalog to improve employee productivity and quality of life
To achieve the mission of being data-driven, enterprises need to set up their systems and processes that make it easier for data citizens to quickly access the data required. However, according to a study by IBM, businesses spend 70% of their time looking for their data, and only 30% use it. Data catalogs eliminate the need for repetitive tasks and work done in silos by providing a central source of data for everyone. They help the user go through all the context they need at a glance by providing,
- Comprehensive business glossaries and descriptions
- Auto-generated data profiles
- Quality reports
- Capabilities, such as chats, in-line annotations, discussions, and data sharing with a link
Challenge: Lack of professional workforce
The team entrusted with building a data catalog has to be a balanced mix of technical and business experts. Quick learners with a background in the data line of services and data cataloging tools and who know the business value that data cataloging can add to the organization are the most essential. However, companies may strive to identify skilled and creative talent for data cataloging. Though they may have well-articulated requirements, a sound business intelligence strategy, and a good tool solution, they can lack the technical skills required for designing, building, maintaining, and supporting data. This can sometimes act as a challenge to the growth of the data catalog market.
By metadata type, Business metadata segment is estimated to grow at a higher CAGR during the forecast period
Business metadata helps companies maintain structured documentation within the business glossary of terms. It includes the definitions of data files and attributes in business terms. Business metadata also includes definitions for business rules that apply to business data attributes, data owners and stewards, data quality metrics, and similar information that helps business users in navigating the information present in the centrally managed data. It uses metadata to help organizations manage their data. It also helps data professionals collect, organize, access, and enrich metadata to support data discovery and governance.
By vertical, retail and eCommerce segment is estimated to grow at a higher CAGR during the forecast period
The retail and eCommerce industry has transformed its operations from traditional physical stores to online stores. As a result, retailers are taking advantage of online platforms to reach large numbers of people and gain a dominant position in a highly competitive industry by analyzing customer behaviors, preferences, and spending patterns. Therefore, retailers are focusing on analyzing these factors to study the large volumes of data generated through social media platforms, Point of Sale (POS) systems, mobile apps, and eCommerce and web platforms to formulate various marketing campaigns and business strategies.
To know about the assumptions considered for the study, download the pdf brochure
North America to account for the largest market size during the forecast period
The North American region, being the early adopter of data catalog technology, is the major revenue-generating region in the global data catalog market. It is expected to grow rapidly during the forecast period due to the increasing use of data in various BI tools and the higher adoption of digital technologies in areas, such as BFSI, telecom and IT, healthcare, and manufacturing. The region has become a leader in innovations, research, development (R&D), and technological advancements in BI technology.
Smart city initiatives are growing in North America, due to which there is an increase in raw data as well. The need to properly access such raw data through BI tools for extracting relevant information is expected to increase the demand for various data catalog solutions. Key players, such as IBM, Oracle, AWS, Informatica, Talend, TIBCO Software, and Microsoft, along with several start-ups, are offering enhanced data catalog solutions and services to cater to customer needs.
Key Market Players
The major vendors in data catalog market include IBM (US), Microsoft (US), TIBCO Software (US), Collibra (Belgium), Alation (US), Oracle (US), Google (US), Informatica (US), Alteryx (US), Zaloni (US), Cloudera (US), Talend (US), Ataccama (Canada), Quest software (Acquired Erwin), Tamr (US), Denodo (US), Tableau (US), AWS (US), Cambridge Semantics (US), Octopai (Israel), Alex Solutions (Australia), Immuta (US), Data.World (US), Solidatus (UK), Atlan (Singapore), Stemma (US), Castor (US), and Zeenea (France).
These vendors have a strong foothold in local and global markets due to their strong product portfolios and well-established strategic alliances. Besides, in the unorganized sector, there are several vendors who collectively hold a prominent share in the market. Thus, the intensity of competitive rivalry in the market is high.
Get online access to the report on the World's First Market Intelligence Cloud
- Easy to Download Historical Data & Forecast Numbers
- Company Analysis Dashboard for high growth potential opportunities
- Research Analyst Access for customization & queries
- Competitor Analysis with Interactive dashboard
- Latest News, Updates & Trend analysis
Request Sample Scope of the Report
Get online access to the report on the World's First Market Intelligence Cloud
- Easy to Download Historical Data & Forecast Numbers
- Company Analysis Dashboard for high growth potential opportunities
- Research Analyst Access for customization & queries
- Competitor Analysis with Interactive dashboard
- Latest News, Updates & Trend analysis
|
Report Attributes |
Details |
|
Market size value in 2022 |
$0.7 billion |
|
Revenue forecast for 2027 |
$1.8 billion |
|
Growth Rate |
22.0% CAGR |
|
Key Market Drivers |
|
|
Key Market Opportunities |
|
|
Segments covered |
|
|
Regions covered |
|
|
Companies covered |
IBM (US), Microsoft (US), TIBCO Software (US), Collibra (Belgium), Alation (US), Oracle (US), Google (US), Informatica (US), Alteryx (US), Zaloni (US) |
This research report categorizes the data catalog market to forecast revenues and analyze trends in each of the following submarkets:
Based on Component, the data catalog market has the following segments:
- Solutions
- Services
Based on Organization Size, the market has the following segments:
- SMEs
- Large Enterprises
Based on Deployment Mode, the market has the following segments:
- Cloud
- On-Premises
Based on Data Consumer, the market has the following segments:
- Business Intelligence tools
- Enterprise Applications
- Mobile and Web Applications
Based on Metadata Type, the market has the following segments:
- Technical Metadata
- Business Metadata
Based on Vertical, the market has the following segments:
- BFSI
- Retail and eCommerce
- Manufacturing
- Government and Defence
- Healthcare and Life Sciences
- Telecom
- Ites
- Media and Entertainment
- Transportation and Logistics
- Other Verticals
Based on regions, the data catalog market has the following segments:
-
North America
- US
- Canada
-
Europe
- UK
- Germany
- France
- Rest of Europe
-
APAC
- China
- Japan
- India
- Rest of APAC
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
-
MEA
- Middle East
- Africa
Recent Developments:
- In July 2022, Talend, a global leader in data integration and data management, announced its enhanced support for Cloudera with the addition of new certification for Cloudera Data Platform (CDP) on the Public Cloud, as well as CDP data services, including Data Hub and Data Engineering
- In July 2022, Data Catalog, a part of Dataplex, provides a complete data management and governance experience with built-in data intelligence and automation capabilities.
- In September 2021, Alation a leader in enterprise data intelligence solutions, announced the release and general availability of the company’s Data Governance App. The new app revolutionizes multi-cloud governance and security and delivers autonomous, continual data governance using machine learning and AI.
- In August 2021, Cloudera launched Cloudera DataFlow for the Public Cloud, a cloud-native service for data flows, to process hybrid streaming workloads on the CDP. It enables users to automate complex data flow operations, boost the operational efficiency of streaming data flows with auto-scaling capabilities and cut down on cloud costs by eliminating infrastructure sizing guesswork.
- In July 2021, A new version of the Oracle Cloud Infrastructure (OCI) Data Catalog was released. Through this product, Oracle would expedite data cataloging by introducing automation into data asset discovery and creation for technical metadata harvesting.
- In June 2021, Alation launched Alation Cloud Service, a cloud-based platform for data intelligence. It enables customers to leverage innovations faster through continuous integration and deployment options
Frequently Asked Questions (FAQ):
How big is the Data Catalog Market?
What is the estimated growth rate (CAGR) of the global Data Catalog Market?
Who are the key players in Data Catalog Market?
What are the major revenue pockets in the global Data Catalog Market currently?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 27)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 REGIONS COVERED
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 1 US DOLLAR EXCHANGE RATE, 2019–2021
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 33)
2.1 RESEARCH DATA
FIGURE 1 DATA CATALOG MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary interviews
FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
2.1.2.2 Key industry insights
2.2 DATA TRIANGULATION
FIGURE 3 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 4 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES IN MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF SOLUTIONS/SERVICES IN MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY — APPROACH 3, BOTTOM-UP (DEMAND SIDE): SHARE OF DATA CATALOG MARKET THROUGH OVERALL DATA CATALOG SPENDING
2.4 MARKET FORECAST
TABLE 2 FACTOR ANALYSIS
2.5 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 RESEARCH ASSUMPTIONS
2.8 LIMITATIONS AND RISK ASSESSMENT
3 EXECUTIVE SUMMARY (Page No. - 45)
TABLE 3 GLOBAL DATA CATALOG MARKET AND GROWTH RATE, 2017–2021 (USD MILLION, Y-O-Y %)
TABLE 4 GLOBAL MARKET AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %)
FIGURE 10 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022
FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022
FIGURE 12 CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022
FIGURE 13 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022
FIGURE 14 BUSINESS INTELLIGENCE TOOLS SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN 2022
FIGURE 15 TECHNICAL METADATA SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022
FIGURE 16 RETAIL AND ECOMMERCE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 17 ASIA PACIFIC TO ACHIEVE HIGHEST GROWTH IN 2022
4 PREMIUM INSIGHTS (Page No. - 50)
4.1 ATTRACTIVE OPPORTUNITIES IN DATA CATALOG MARKET
FIGURE 18 RAPID DIGITIZATION ACROSS SECTORS AND RISE IN DATA GENERATION TO DRIVE ADOPTION OF DATA CATALOG SOLUTIONS
4.2 MARKET, BY TOP THREE VERTICALS
FIGURE 19 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD
4.3 MARKET, BY REGION
FIGURE 20 ASIA PACIFIC TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022
4.4 NORTH AMERICA: MARKET, BY COMPONENT AND SERVICE
FIGURE 21 SOLUTIONS AND PROFESSIONAL SERVICES SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARE IN 2022
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 52)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 22 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA CATALOG MARKET
5.2.1 DRIVERS
5.2.1.1 Growing proliferation of data
5.2.1.2 Rising need to gather insights for business strategies
5.2.1.3 Growing adoption of cloud-based solutions
5.2.1.4 Increasing use of self-service analytics
5.2.2 RESTRAINTS
5.2.2.1 Lack of standardization of data
5.2.2.2 Misconceptions about risks
5.2.3 OPPORTUNITIES
5.2.3.1 Use of data catalog to improve employee productivity
5.2.3.2 Rising automation and AI-enabled technologies
5.2.4 CHALLENGES
5.2.4.1 Lack of technical skills in workforce
5.2.4.2 Inconsistent data upkeeping
5.3 EVOLUTION: DATA CATALOG
FIGURE 23 EVOLUTION OF DATA CATALOG
5.4 ESSENTIAL FEATURES OF DATA CATALOG
5.4.1 DATA SEARCH AND DISCOVERY
5.4.2 BUSINESS GLOSSARY
5.4.3 DATA LINEAGE
5.4.4 COLLABORATION
5.4.5 DATA GOVERNANCE
5.4.6 INTEGRATION
5.5 VALUE CHAIN ANALYSIS
FIGURE 24 VALUE CHAIN ANALYSIS: DATA CATALOG MARKET
5.6 SUPPLY CHAIN ANALYSIS
FIGURE 25 SUPPLY CHAIN ANALYSIS: MARKET
5.7 ECOSYSTEM
TABLE 5 ECOSYSTEM: MARKET
5.8 MARKET: IMPACT OF COVID-19
5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF DATA CATALOGS
FIGURE 26 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
5.10 TECHNOLOGICAL ANALYSIS
5.10.1 ARTIFICIAL INTELLIGENCE AND AUTOMATION
5.10.2 MACHINE LEARNING
5.11 CASE STUDY ANALYSIS
5.11.1 INFORMATION SERVICES
5.11.1.1 Case Study 1: Creditsafe uses Waterline Smart Data Catalog to improve its common processes to manage data
5.11.2 BFSI
5.11.2.1 Case Study 2: Nordea automates its data management processes using Waterline Smart Data Catalog
5.11.3 HEALTHCARE AND LIFE SCIENCES
5.11.3.1 Case Study 3: Southeastern Med strengthens its BI reporting capabilities through Datawatch Managed Analytics platform
5.11.4 RETAIL AND ECOMMERCE
5.11.4.1 Case Study 4: eBay gains centralized access to data using Alation’s data catalog solution
5.11.5 GOVERNMENT AND DEFENSE
5.11.5.1 Case Study 5: With Collibra, George Washington University automates its governance processes
5.12 PATENT ANALYSIS
5.12.1 METHODOLOGY
5.12.2 DOCUMENT TYPE
TABLE 6 PATENTS FILED, 2019-2022
5.12.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 27 TOTAL NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022
5.12.3.1 Top applicants
FIGURE 28 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2022
5.13 PORTER’S FIVE FORCES ANALYSIS
TABLE 7 IMPACT OF PORTER’S FIVE FORCES ON DATA CATALOG MARKET
FIGURE 29 PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 REGULATORY IMPLICATION
5.14.1 GENERAL DATA PROTECTION REGULATION
5.14.2 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION/INTERNATIONAL ELECTROTECHNICAL COMMISSION 27000 STANDARDS
5.14.3 CLOUD SECURITY ALLIANCE CONTROLS
5.14.4 SYSTEM AND ORGANIZATION CONTROL REPORTS
5.14.4.1 System and Organization Control 1
5.14.4.2 System and Organization Control 2
5.14.5 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
5.14.6 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
5.14.7 SARBANES-OXLEY ACT OF 2002
5.14.8 THE GRAMM–LEACH–BLILEY ACT
5.14.9 EUROPEAN UNION DATA PROTECTION REGULATION
5.14.10 CAN-SPAM ACT
5.15 TARIFF AND REGULATORY LANDSCAPE
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.16 PRICING ANALYSIS
5.16.1 AVERAGE SELLING PRICE OF SUBSCRIPTION-BASED DATA CATALOG SOLUTIONS
TABLE 13 AVERAGE SELLING PRICE OF SUBSCRIPTION-BASED DATA CATALOG SOLUTIONS
5.17 KEY STAKEHOLDERS AND BUYING CRITERIA
5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS
TABLE 14 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE VERTICALS (%)
5.17.2 BUYING CRITERIA
FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 15 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
6 DATA CATALOG MARKET, BY COMPONENT (Page No. - 77)
6.1 INTRODUCTION
6.1.1 COMPONENT: MARKET DRIVERS
FIGURE 31 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 16 MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 17 MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
6.2 SOLUTIONS
6.2.1 GROWING DIGITIZATION AND USE OF CLOUD COMPUTING
TABLE 18 SOLUTIONS: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 19 SOLUTIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
6.3 SERVICES
FIGURE 32 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 20 SERVICES: MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 21 SERVICES: MARKET, BY TYPE, 2022–2027 (USD MILLION)
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Growing need to manage complex operations
TABLE 22 PROFESSIONAL SERVICES: DATA CATALOG MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 23 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2022–2027 (USD MILLION)
TABLE 24 PROFESSIONAL SERVICES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 25 PROFESSIONAL SERVICES: MARKET, BY REGION, 2022–2027 (USD MILLION)
6.3.1.2 Support and maintenance services
6.3.1.2.1 Need for solving complex product issues
6.3.1.3 Consulting services
6.3.1.3.1 Data catalog services help organizations formulate strategies
6.3.1.4 Deployment and integration services
6.3.1.4.1 Need for cost optimization
6.3.2 MANAGED SERVICES
6.3.2.1 Rising need for innovation, good customer experience, and efficiency
TABLE 26 MANAGED SERVICES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 27 MANAGED SERVICES: MARKET, BY REGION, 2022–2027 (USD MILLION)
7 DATA CATALOG MARKET, BY DEPLOYMENT MODE (Page No. - 85)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODE: MARKET DRIVERS
FIGURE 33 CLOUD SEGMENT TO EXHIBIT HIGHER CAGR DURING FORECAST PERIOD
TABLE 28 MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 29 MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
7.2 CLOUD
7.2.1 COST-BASED SOLUTIONS PROVIDE ROBUST PROCESSES TO MEET OBJECTIVES
TABLE 30 CLOUD: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 31 CLOUD: MARKET, BY REGION, 2022–2027 (USD MILLION)
7.3 ON-PREMISES
7.3.1 SECURITY CONCERNS OVER SENSITIVE DATA
TABLE 32 ON-PREMISES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 33 ON-PREMISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
8 DATA CATALOG MARKET, BY DATA CONSUMER (Page No. - 89)
8.1 INTRODUCTION
8.1.1 DATA CONSUMER: MARKET DRIVERS
FIGURE 34 MOBILE AND WEB APPLICATIONS SEGMENT TO EXHIBIT HIGHEST GROWTH DURING FORECAST PERIOD
TABLE 34 MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 35 MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
8.2 BUSINESS INTELLIGENCE TOOLS
TABLE 36 BUSINESS INTELLIGENCE TOOLS: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 37 BUSINESS INTELLIGENCE TOOLS: MARKET, BY REGION, 2022–2027 (USD MILLION)
8.2.1 DATA INTEGRATION AND ETL
8.2.1.1 Data catalog solutions to facilitate efficient data management and derive valuable insights
8.2.2 REPORTING AND VISUALIZATION
8.2.2.1 Data solutions help turn insights into actions
8.2.3 QUERY AND ANALYSIS
8.2.3.1 Need for efficient governance and better compliance
8.3 ENTERPRISE APPLICATIONS
TABLE 38 ENTERPRISE APPLICATIONS: DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 39 ENTERPRISE APPLICATIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
8.3.1 ENTERPRISE RESOURCE PLANNING (ERP)
8.3.1.1 Growth in automation of business processes to drive data catalog services
8.3.2 SUPPLY CHAIN MANAGEMENT SYSTEM
8.3.2.1 Analysis of data essential to predict demand
8.4 MOBILE AND WEB APPLICATIONS
TABLE 40 MOBILE AND WEB APPLICATIONS: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 41 MOBILE AND WEB APPLICATIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
8.4.1 HEAT MAP ANALYTICS
8.4.1.1 Data analysis leads to improved site designs
8.4.2 WEB BEHAVIORAL ANALYSIS
8.4.2.1 Data analytics help understand human behavior
8.4.3 MARKETING AUTOMATION
8.4.3.1 Data consolidation to drive mobile app development
9 DATA CATALOG MARKET, BY METADATA TYPE (Page No. - 98)
9.1 INTRODUCTION
9.1.1 METADATA TYPE: MARKET DRIVERS
FIGURE 35 BUSINESS METADATA SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 42 MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 43 MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
9.2 BUSINESS METADATA
9.2.1 HELPS USERS NAVIGATE THROUGH CENTRALLY MANAGED DATA
TABLE 44 BUSINESS METADATA: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 45 BUSINESS METADATA: MARKET, BY REGION, 2022–2027 (USD MILLION)
9.3 TECHNICAL METADATA
9.3.1 BUILDS AND MAINTAINS ENTERPRISE DATA ENVIRONMENT
TABLE 46 TECHNICAL METADATA: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 47 TECHNICAL METADATA: MARKET, BY REGION, 2022–2027 (USD MILLION)
10 DATA CATALOG MARKET, BY ORGANIZATION SIZE (Page No. - 103)
10.1 INTRODUCTION
10.1.1 ORGANIZATION SIZE: MARKET DRIVERS
FIGURE 36 LARGE ENTERPRISES SEGMENT TO EXHIBIT HIGHER CAGR DURING FORECAST PERIOD
TABLE 48 MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 49 MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
10.2 LARGE ENTERPRISES
10.2.1 INCREASING DEMAND FOR CLOUD COMPUTING AND GROWING USE OF SMARTPHONES
TABLE 50 LARGE ENTERPRISES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 51 LARGE ENTERPRISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
10.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10.3.1 COST-EFFECTIVENESS AND INCREASED PRODUCTIVITY TO DRIVE DEMAND FOR DATA CATALOG SOLUTIONS AMONG SMES
TABLE 52 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 53 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
11 DATA CATALOG MARKET, BY VERTICAL (Page No. - 108)
11.1 INTRODUCTION
11.1.1 VERTICAL: CATALOG MANAGEMENT SYSTEMS MARKET DRIVERS
FIGURE 37 RETAIL AND ECOMMERCE SEGMENT TO EXHIBIT HIGHEST GROWTH DURING FORECAST PERIOD
TABLE 54 MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 55 MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
11.2 MANUFACTURING
11.2.1 DATA CATALOG SOLUTIONS HELP MANUFACTURERS GAIN BETTER BUSINESS INSIGHTS
TABLE 56 MANUFACTURING: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 57 MANUFACTURING: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.3 HEALTHCARE AND LIFE SCIENCES
11.3.1 DATA SOLUTIONS GIVE DOCTORS REAL-TIME ACCESS TO MEDICAL DATA
TABLE 58 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 59 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.4 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)
11.4.1 INCREASING DEMAND FOR DIGITAL BANKING SOLUTIONS
TABLE 60 BFSI: DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 61 BFSI: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.5 TRANSPORTATION AND LOGISTICS
11.5.1 NEED TO IMPROVE CORE TRANSPORTATION AND LOGISTICS OPERATIONS
TABLE 62 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 63 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.6 MEDIA AND ENTERTAINMENT
11.6.1 NEED FOR DATA SOLUTIONS TO EXTRACT VALUABLE INFORMATION TO GAIN INSIGHTS
TABLE 64 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 65 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.7 RETAIL AND ECOMMERCE
11.7.1 RAPID DIGITAL TRANSFORMATION TO DRIVE GROWTH
TABLE 66 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 67 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.8 GOVERNMENT AND DEFENSE
11.8.1 ACCESSIBILITY ISSUES TACKLED IN GOVERNMENT SECTOR USING DATA CATALOG SOLUTIONS
TABLE 68 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 69 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.9 TELECOM
11.9.1 NEED FOR ROBUST SYSTEM TO MANAGE MOBILE DATA TRAFFIC
TABLE 70 TELECOM: DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 71 TELECOM: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.10 ITES
11.10.1 NEED TO STANDARDIZE DATA QUALITY, GOVERNANCE, AND DATA PREPARATION PROCESSES
TABLE 72 ITES: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 73 ITES: MARKET, BY REGION, 2022–2027 (USD MILLION)
11.11 OTHER VERTICALS
TABLE 74 OTHER VERTICALS: MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 75 OTHER VERTICALS: MARKET, BY REGION, 2022–2027 (USD MILLION)
12 DATA CATALOG MARKET, BY REGION (Page No. - 121)
12.1 INTRODUCTION
FIGURE 38 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD
TABLE 76 MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 77 MARKET, BY REGION, 2022–2027 (USD MILLION)
FIGURE 39 ASIA PACIFIC TO RECORD HIGHEST GROWTH DURING FORECAST PERIOD
12.2 NORTH AMERICA
12.2.1 NORTH AMERICA: MARKET DRIVERS
FIGURE 40 NORTH AMERICA: MARKET SNAPSHOT
TABLE 78 NORTH AMERICA: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 79 NORTH AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 80 NORTH AMERICA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 81 NORTH AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 82 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 83 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 84 NORTH AMERICA: MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 85 NORTH AMERICA: MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
TABLE 86 NORTH AMERICA: MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 87 NORTH AMERICA: MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
TABLE 88 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 89 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 90 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 91 NORTH AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 92 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 93 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
12.2.2 US
12.2.2.1 Increasing adoption of self-service and data propagation analytics
TABLE 94 US: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 95 US: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 96 US: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 97 US: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.2.3 CANADA
12.2.3.1 Growing need for transparency in financial services sector
TABLE 98 CANADA: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 99 CANADA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 100 CANADA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 101 CANADA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.3 EUROPE
12.3.1 EUROPE: DATA CATALOG MARKET DRIVERS
TABLE 102 EUROPE: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 103 EUROPE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 104 EUROPE: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 105 EUROPE: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 106 EUROPE: MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 107 EUROPE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 108 EUROPE: MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 109 EUROPE: MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
TABLE 110 EUROPE: MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 111 EUROPE: MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
TABLE 112 EUROPE: MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 113 EUROPE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 114 EUROPE: MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 115 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 116 EUROPE: MARKET, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 117 EUROPE: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
12.3.2 UK
12.3.2.1 Increasing adoption of new technologies and innovations
TABLE 118 UK: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 119 UK: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 120 UK: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 121 UK: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.3.3 GERMANY
12.3.3.1 Growth in digital transformation
TABLE 122 GERMANY: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 123 GERMANY: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 124 GERMANY: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 125 GERMANY: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.3.4 FRANCE
12.3.4.1 Significant potential for growth of AI
TABLE 126 FRANCE: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 127 FRANCE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 128 FRANCE: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 129 FRANCE: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.3.5 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 ASIA PACIFIC: MARKET DRIVERS
FIGURE 41 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 130 ASIA PACIFIC: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 131 ASIA PACIFIC: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 132 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 133 ASIA PACIFIC: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 134 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 135 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 136 ASIA PACIFIC: MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 137 ASIA PACIFIC: MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
TABLE 138 ASIA PACIFIC: MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 139 ASIA PACIFIC: MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
TABLE 140 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 141 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 142 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 143 ASIA PACIFIC: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 144 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 145 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
12.4.2 CHINA
12.4.2.1 Big data usage to transform traditional industry sectors
TABLE 146 CHINA: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 147 CHINA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 148 CHINA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 149 CHINA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.4.3 INDIA
12.4.3.1 Abundance of skilled labor and enhanced technological capabilities
TABLE 150 INDIA: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 151 INDIA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 152 INDIA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 153 INDIA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.4.4 JAPAN
12.4.4.1 Growing need to deal with significant volume of data
TABLE 154 JAPAN: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 155 JAPAN: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 156 JAPAN: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 157 JAPAN: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.4.5 REST OF ASIA PACIFIC
12.5 MIDDLE EAST AND AFRICA
12.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
TABLE 158 MIDDLE EAST AND AFRICA: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 159 MIDDLE EAST AND AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 160 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 161 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 162 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 163 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 164 MIDDLE EAST AND AFRICA: MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 165 MIDDLE EAST AND AFRICA: MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
TABLE 166 MIDDLE EAST AND AFRICA: MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 167 MIDDLE EAST AND AFRICA: MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
TABLE 168 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 169 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 170 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 171 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 172 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 173 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
12.5.2 MIDDLE EAST
12.5.2.1 Increasing initiatives to change cloud computing landscape
TABLE 174 MIDDLE EAST: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 175 MIDDLE EAST: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 176 MIDDLE EAST: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 177 MIDDLE EAST: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.5.3 AFRICA
12.5.3.1 High growth of complex corporate data
TABLE 178 AFRICA: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 179 AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 180 AFRICA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 181 AFRICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.6 LATIN AMERICA
12.6.1 LATIN AMERICA: DATA CATALOG MARKET DRIVERS
TABLE 182 LATIN AMERICA: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 183 LATIN AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 184 LATIN AMERICA: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 185 LATIN AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 186 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 187 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 188 LATIN AMERICA: MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
TABLE 189 LATIN AMERICA: MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
TABLE 190 LATIN AMERICA: MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
TABLE 191 LATIN AMERICA: MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
TABLE 192 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
TABLE 193 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 194 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 195 LATIN AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 196 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 197 LATIN AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
12.6.2 BRAZIL
12.6.2.1 Adoption of comprehensive approach to migrate to cloud
TABLE 198 BRAZIL: DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 199 BRAZIL: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 200 BRAZIL: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 201 BRAZIL: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.6.3 MEXICO
12.6.3.1 Good data management leads to improved customer experience
TABLE 202 MEXICO: MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 203 MEXICO: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 204 MEXICO: MARKET, BY SERVICE, 2017–2021 (USD MILLION)
TABLE 205 MEXICO: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
12.6.4 REST OF LATIN AMERICA
13 COMPETITIVE LANDSCAPE (Page No. - 168)
13.1 OVERVIEW
13.2 STRATEGIES OF KEY PLAYERS
TABLE 206 OVERVIEW OF STRATEGIES ADOPTED BY KEY DATA CATALOG VENDORS
13.3 REVENUE ANALYSIS
13.3.1 HISTORICAL REVENUE ANALYSIS
FIGURE 42 HISTORICAL REVENUE ANALYSIS OF TWO LEADING PLAYERS, 2017–2021 (USD MILLION)
13.4 MARKET SHARE ANALYSIS
FIGURE 43 MARKET SHARE ANALYSIS FOR KEY COMPANIES
TABLE 207 DATA CATALOG MARKET: DEGREE OF COMPETITION
13.5 MARKET EVALUATION FRAMEWORK
FIGURE 44 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS IN MARKET, 2020-2022
13.6 COMPANY EVALUATION QUADRANT
13.6.1 STARS
13.6.2 EMERGING LEADERS
13.6.3 PERVASIVE PLAYERS
13.6.4 PARTICIPANTS
FIGURE 45 MARKET: COMPANY EVALUATION QUADRANT, 2022
13.7 COMPETITIVE BENCHMARKING
TABLE 208 COMPANY PRODUCT FOOTPRINT
TABLE 209 COMPANY REGION FOOTPRINT
13.8 STARTUP/SME EVALUATION QUADRANT
13.8.1 PROGRESSIVE COMPANIES
13.8.2 RESPONSIVE COMPANIES
13.8.3 DYNAMIC COMPANIES
13.8.4 STARTING BLOCKS
FIGURE 46 DATA CATALOG MARKET, STARTUP/SME EVALUATION QUADRANT, 2022
13.9 COMPETITIVE BENCHMARKING OF STARTUPS/SMES
TABLE 210 MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2022
TABLE 211 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS [STARTUPS/SMES], 2022
13.10 COMPETITIVE SCENARIOS AND TRENDS
13.10.1 PRODUCT LAUNCHES
TABLE 212 SERVICE/PRODUCT LAUNCHES, 2019–2022
13.10.2 DEALS
TABLE 213 DEALS, 2019–2022
14 COMPANY PROFILES (Page No. - 190)
14.1 INTRODUCTION
14.2 MAJOR PLAYERS
(Business Overview, Solutions, Products & Services offered, Recent Developments, MnM View)*
14.2.1 IBM
TABLE 214 IBM: BUSINESS OVERVIEW
FIGURE 47 IBM: COMPANY SNAPSHOT
TABLE 215 IBM: PRODUCT OFFERED
TABLE 216 IBM: SERVICES OFFERED
TABLE 217 IBM: DEALS
14.2.2 MICROSOFT
TABLE 218 MICROSOFT: BUSINESS OVERVIEW
FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
TABLE 219 MICROSOFT: PRODUCTS OFFERED
TABLE 220 MICROSOFT: DEALS
14.2.3 TIBCO SOFTWARE
TABLE 221 TIBCO SOFTWARE: BUSINESS OVERVIEW
TABLE 222 TIBCO SOFTWARE: PRODUCTS OFFERED
TABLE 223 TIBCO SOFTWARE: SERVICES OFFERED
TABLE 224 TIBCO SOFTWARE: DEALS
14.2.4 COLLIBRA
TABLE 225 COLLIBRA: BUSINESS OVERVIEW
TABLE 226 COLLIBRA: PRODUCTS OFFERED
TABLE 227 COLLIBRA: DEALS
14.2.5 ORACLE
TABLE 228 ORACLE: BUSINESS OVERVIEW
FIGURE 49 ORACLE: COMPANY SNAPSHOT
TABLE 229 ORACLE: PRODUCTS OFFERED
TABLE 230 ORACLE: SERVICES OFFERED
TABLE 231 ORACLE: SOLUTION LAUNCHES AND ENHANCEMENTS
TABLE 232 ORACLE: DEALS
14.2.6 INFORMATICA
TABLE 233 INFORMATICA: BUSINESS OVERVIEW
TABLE 234 INFORMATICA: PRODUCTS OFFERED
TABLE 235 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 236 INFORMATICA: DEALS
14.2.7 ALATION
TABLE 237 ALATION: BUSINESS OVERVIEW
TABLE 238 ALATION: PRODUCTS OFFERED
TABLE 239 ALATION: PRODUCTS LAUNCHES AND ENHANCEMENTS
TABLE 240 ALATION: DEALS
14.2.8 GOOGLE
TABLE 241 GOOGLE: BUSINESS OVERVIEW
FIGURE 50 GOOGLE: COMPANY SNAPSHOT
TABLE 242 GOOGLE: PRODUCTS OFFERED
TABLE 243 GOOGLE: SOLUTION LAUNCHES AND ENHANCEMENTS
TABLE 244 GOOGLE: DEALS
14.2.9 CLOUDERA
TABLE 245 CLOUDERA: BUSINESS OVERVIEW
FIGURE 51 CLOUDERA: COMPANY SNAPSHOT
TABLE 246 CLOUDERA: PRODUCTS OFFERED
TABLE 247 CLOUDERA: SOLUTION LAUNCHES AND ENHANCEMENTS
TABLE 248 CLOUDERA: DEALS
14.2.10 ALTERYX
TABLE 249 ALTERYX: BUSINESS OVERVIEW
TABLE 250 ALTERYX: PRODUCTS OFFERED
TABLE 251 ALTERYX: DEALS
14.2.11 TALEND
TABLE 252 TALEND: BUSINESS OVERVIEW
TABLE 253 TALEND: PRODUCTS OFFERED
TABLE 254 TALEND: SOLUTION LAUNCHES AND ENHANCEMENTS
TABLE 255 TALEND: DEALS
14.2.12 ATACCAMA
TABLE 256 ATACCAMA: BUSINESS OVERVIEW
TABLE 257 ATACCAMA: PRODUCTS OFFERED
TABLE 258 ATACCAMA: SOLUTION LAUNCHES AND ENHANCEMENTS
TABLE 259 ATACCAMA: DEALS
14.2.13 ZALONI
TABLE 260 ZALONI: BUSINESS OVERVIEW
TABLE 261 ZALONI: PRODUCTS OFFERED
TABLE 262 ZALONI: DEALS
*Details on Business Overview, Solutions, Products & Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
14.3 SMES/STARTUPS
14.3.1 DENODO
14.3.2 TABLEAU
14.3.3 AWS
14.3.4 CAMBRIDGE SEMANTICS
14.3.5 ERWIN BY QUEST
14.3.6 TAMR
14.3.7 DATA.WORLD
14.3.8 ALEX SOLUTIONS
14.3.9 OCTOPAI
14.3.10 IMMUTA
14.3.11 SOLIDATUS
14.3.12 ZEENEA
14.3.13 ATLAN
14.3.14 STEMMA
14.3.15 CASTOR
15 ADJACENT/RELATED MARKETS (Page No. - 235)
15.1 DATA GOVERNANCE MARKET – GLOBAL FORECAST TO 2025
15.1.1 MARKET DEFINITION
15.1.2 MARKET OVERVIEW
15.1.2.1 Data governance market, by application
TABLE 263 DATA GOVERNANCE MARKET, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 264 DATA GOVERNANCE MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
15.1.2.2 Data governance market, by component
TABLE 265 DATA GOVERNANCE MARKET, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 266 DATA GOVERNANCE MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
15.1.2.3 Data governance market, by deployment model
TABLE 267 DATA GOVERNANCE MARKET, BY DEPLOYMENT MODEL, 2014–2019 (USD MILLION)
TABLE 268 DATA GOVERNANCE MARKET, BY DEPLOYMENT MODEL, 2019–2025 (USD MILLION)
15.1.2.4 Data governance market, by organization size
TABLE 269 DATA GOVERNANCE MARKET, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 270 DATA GOVERNANCE MARKET, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
15.1.2.5 Data governance market, by vertical
TABLE 271 DATA GOVERNANCE MARKET, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 272 DATA GOVERNANCE MARKET, BY VERTICAL, 2019–2025 (USD MILLION)
15.1.2.6 Data governance market, by region
TABLE 273 DATA GOVERNANCE MARKET, BY REGION, 2014–2019 (USD MILLION)
TABLE 274 DATA GOVERNANCE MARKET, BY REGION, 2019–2025 (USD MILLION)
15.1.3 DATA DISCOVERY MARKET – GLOBAL FORECAST TO 2025
15.1.3.1 Market definition
15.1.3.2 Market overview
15.1.3.3 Data discovery market, by component
TABLE 275 DATA DISCOVERY MARKET, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 276 DATA DISCOVERY MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 277 DATA DISCOVERY MARKET, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 278 DATA DISCOVERY MARKET, BY SERVICE, 2019–2025 (USD MILLION)
TABLE 279 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET, BY TYPE, 2014–2019 (USD MILLION)
TABLE 280 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET, BY TYPE, 2019–2025 (USD MILLION)
15.1.3.4 Data discovery market, by organization size
TABLE 281 DATA DISCOVERY MARKET, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 282 DATA DISCOVERY MARKET, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
15.1.3.5 Data discovery market, by deployment mode
TABLE 283 DATA DISCOVERY MARKET, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 284 DATA DISCOVERY MARKET, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
TABLE 285 CLOUD: DATA DISCOVERY MARKET, BY TYPE, 2014–2019 (USD MILLION)
TABLE 286 CLOUD: DATA DISCOVERY MARKET, BY TYPE, 2019–2025 (USD MILLION)
15.1.3.6 Data discovery market, by functionality
TABLE 287 DATA DISCOVERY MARKET, BY FUNCTIONALITY, 2014–2019 (USD MILLION)
TABLE 288 DATA DISCOVERY MARKET, BY FUNCTIONALITY, 2019–2025 (USD MILLION)
15.1.3.7 Data discovery market, by application
TABLE 289 DATA DISCOVERY MARKET, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 290 DATA DISCOVERY MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
15.1.3.8 Data discovery market, by vertical
TABLE 291 DATA DISCOVERY MARKET, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 292 DATA DISCOVERY MARKET, BY VERTICAL, 2019–2025 (USD MILLION)
15.1.3.9 Data discovery market, by region
TABLE 293 DATA DISCOVERY MARKET, BY REGION, 2014–2019 (USD MILLION)
TABLE 294 DATA DISCOVERY MARKET, BY REGION, 2019–2025 (USD MILLION)
16 APPENDIX (Page No. - 251)
16.1 DISCUSSION GUIDE
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 CUSTOMIZATION OPTIONS
16.4 RELATED REPORTS
16.5 AUTHOR DETAILS
This research study involved the usage of extensive secondary sources, directories, and databases such as D&B Hoovers and Bloomberg BusinessWeek to identify and collect information useful for this technical, market-oriented, and commercial study of the global data catalog market. The primary sources were mainly several industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of this industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information and to assess prospects. The following illustration shows the market research methodology applied in making this report on the global data catalog market.
Secondary Research
In the secondary research process, various sources were referred to, to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing experts; related key executives from data catalog solution vendors, system integrators, professional service providers, and industry associations; and key opinion leaders.
Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using data catalog solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of data catalog impacting the overall market.
To know about the assumptions considered for the study, download the pdf brochure
Data Catalog Market Size Estimation
In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the data catalog market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each offering of various vendors was evaluated based on the breadth of services, deployment modes, interaction types, business functions, applications, and verticals. The aggregate revenue of all companies was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. Further, each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from the industry leaders, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and marketing executives.
Data Catalog Market Report Objectives
- To determine and forecast the global data catalog market By Component (Solutions, Services), Deployment Mode (Cloud, On-premises), Data Consumer (BI Tools, Enterprise Applications, Mobile and Web Applications), Organization Size, Metadata Type, Vertical, and Region from 2022 to 2027, and analyze the various macroeconomic and microeconomic factors that affect market growth
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
- To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall data catalog market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the intelligent document processing market
- To profile the key market players; provide a comparative analysis based on business overviews, regional presence, product offerings, business strategies, and key financials; and illustrate the competitive landscape of the market
- To track and analyze competitive developments, such as mergers and acquisitions, product developments, partnerships and collaborations, and Research and Development (R&D) activities, in the market
Available Customizations
Along with the market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (Up to 5)
Generating Response ...
Growth opportunities and latent adjacency in Data Catalog Market