by The global data preparation tools market size is expected to be worth around US$ 18.6 billion by 2030, according to a new report by Vision Research Reports.
The global data preparation tools market size was valued at US$ 5.08 billion in 2020 and is anticipated to grow at a CAGR of 19.2% during forecast period 2021 to 2030.
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Table of Contents
Data Preparation Tools Market Growth Factors
Data preparation tools can help organizations augment their efficiency by ensuring easy access to data. The increasing demand for data analytics, particularly in the IT and retail sectors, is expected to drive the demand for data preparation tools.
The growth of the market can be attributed particularly to the capabilities of self-service data preparation tools to ensure easy interchangeability, collaboration, and profiling of data as well as to address the concerns associated with the safety of the data. Demand for self-service data preparation tools would continue to increase as data analytics companies continue to demand efficient solutions to access and analyze large volumes of data.
Data Preparation Tools Market Report Coverage
| Report Scope | Details |
| Market Size | USD 18.6 billion by 2030 |
| Growth Rate | CAGR of 19.2% From 2021 to 2030 |
| Base Year | 2021 |
| Forecast Period | 2021 to 2030 |
| Segments Covered | Platform, Deployment, Function, Vertical |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Mentioned | Alteryx, Inc.; Datawatch Corporation; Informatica Corporation; International Business Machines Corporation; Microsoft Corporation; MicroStrategy Incorporated; Qlik Technologies Inc.; SAP SE; SAS Institute Inc.; Tibco Software Inc. |
Data Preparation Tools Market By Platform Analysis
The data integration platform dominated the data preparation tools market and led for more than 60% of the revenue share in 2020. Based on the platform, the market has been sub-segmented into self-service and data integration.
The self-service platform also assists in integrating and analyzing the data collected from IoT devices, thereby helping organizations develop their business intelligence. In March 2016, IBM partnered with Datawatch Corporation to ensure better and quicker access to data and self-service data preparation to users of IBM Cognos Analytics and IBM Watson Analytics.
Data Preparation Tools Market By Function Analysis
The data collection dominated the market and led for more than 27% of the revenue share in 2020. Based on function, the market has been sub-segmented into data collection, data cataloging, data quality, data governance, data ingestion, and data curation.
the data cataloging function is expected to demonstrate a notable shift in its demand, registering a CAGR of 19.9% over the forecast period. Owing to the continued rollout of IoT devices that generate large volumes of data, there is a need for efficient cataloging tools to analyze IoT data is expected to increase over the forecast period.
Data Preparation Tools Market By Vertical Analysis
IT and telecom dominated the market and accounted for more than 35% of the revenue share in 2020. Based on vertical, the market has been sub-segmented into IT and telecom, retail and e-commerce, BFSI, government healthcare, energy and utilities, transportation, manufacturing, and others.
Retail analytics is one of the primary applications of data preparation tools. Retail analytics requires data to be collated from different input sources and supplied to various analytics firms for analysis. Self-service data preparation tools can automate this entire process.
Data Preparation Tools Market By Deployment Analysis
Based on deployment, the market for data preparation tools has been sub-segmented into on-premise and cloud. The on-premise segment dominated the global market and led for a revenue share of more than 49% in 2020.
The cloud segment is expected to expand at the highest CAGR over the forecast period. Adoption of a combination of cloud technologies and a self-service platform is emerging as a popular trend among various data-driven companies, as it offers users access to local as well as cloud sources, thereby assisting them in significantly increasing the efficiency of the company.
Data Preparation Tools Market By Regional Analysis
North America dominated the market and led for over 37% share of global revenue in 2020. This high share is attributed to the growing integration of artificial intelligence and mobile computing platforms in digital shopping and e-commerce. It creates a large amount of data for annotation.
Data preparation happens to be a part of data analytics. The demand for data analytics is growing rapidly in developing economies, such as China and India, as the retail and e-commerce sectors continue to gain traction in these regions. These factors are expected to fuel the growth of the market in the Asia Pacific region.
Data Preparation Tools Market Key Players
- Alteryx, Inc.
- Datawatch Corporation
- Informatica Corporation
- International Business Machines Corporation
- Microsoft Corporation
- MicroStrategy Incorporated
- Qlik Technologies Inc.
- SAP SE
- SAS Institute Inc.
- Tibco Software Inc.
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Data Preparation Tools Market Segmentation
- By Platform
- Self-service
- Data integration
- By Function
- Data collection
- Data cataloging
- Data quality
- Data governance
- Data ingestion
- Data curation
- By Deployment
- On-premise
- Cloud
- By Vertical
- IT and Telecom
- Retail and E-commerce
- BFSI
- Government
- Healthcare
- Energy and Utilities
- Transportation
- Manufacturing
- Others
- Regional
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- Asia Pacific
- China
- Japan
- India
- South America
- Brazil
- Middle East and Africa
- North America
Table of Contents
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Deployment Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Data Preparation Tools Market, By Platform
7.1. Data Preparation Tools Market, by Platform, 2021-2030
7.1.1. Self-service
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Data integration
7.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Data Preparation Tools Market, By Function
8.1. Data Preparation Tools Market, by Function, 2021-2030
8.1.1. Data collection
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Data cataloging
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Data quality
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Data governance
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Data ingestion
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Data curation
8.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Data Preparation Tools Market, By Deployment
9.1. Data Preparation Tools Market, by Deployment, 2021-2030
9.1.1. On-premise
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Data Preparation Tools Market, By Vertical
10.1. Data Preparation Tools Market, by Vertical, 2021-2030
10.1.1. IT and Telecom
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Retail and E-commerce
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. BFSI
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Government
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Healthcare
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Energy and Utilities
10.1.6.1. Market Revenue and Forecast (2017-2030)
10.1.7. Transportation
10.1.7.1. Market Revenue and Forecast (2017-2030)
10.1.8. Manufacturing
10.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Data Preparation Tools Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Platform (2017-2030)
11.1.2. Market Revenue and Forecast, by Function (2017-2030)
11.1.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.1.5. U.S.
11.1.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.1.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.1.6. Rest of North America
11.1.6.1. Market Revenue and Forecast, by Platform (2017-2030)
11.1.6.2. Market Revenue and Forecast, by Function (2017-2030)
11.1.6.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Platform (2017-2030)
11.2.2. Market Revenue and Forecast, by Function (2017-2030)
11.2.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.2.5. UK
11.2.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.2.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.2.6. Germany
11.2.6.1. Market Revenue and Forecast, by Platform (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Function (2017-2030)
11.2.6.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.2.7. France
11.2.7.1. Market Revenue and Forecast, by Platform (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Function (2017-2030)
11.2.7.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.2.8. Rest of Europe
11.2.8.1. Market Revenue and Forecast, by Platform (2017-2030)
11.2.8.2. Market Revenue and Forecast, by Function (2017-2030)
11.2.8.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Platform (2017-2030)
11.3.2. Market Revenue and Forecast, by Function (2017-2030)
11.3.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.3.5. India
11.3.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.3.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.3.6. China
11.3.6.1. Market Revenue and Forecast, by Platform (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Function (2017-2030)
11.3.6.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.3.7. Japan
11.3.7.1. Market Revenue and Forecast, by Platform (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Function (2017-2030)
11.3.7.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.3.8. Rest of APAC
11.3.8.1. Market Revenue and Forecast, by Platform (2017-2030)
11.3.8.2. Market Revenue and Forecast, by Function (2017-2030)
11.3.8.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Platform (2017-2030)
11.4.2. Market Revenue and Forecast, by Function (2017-2030)
11.4.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.4.5. GCC
11.4.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.4.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.4.6. North Africa
11.4.6.1. Market Revenue and Forecast, by Platform (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Function (2017-2030)
11.4.6.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.4.7. South Africa
11.4.7.1. Market Revenue and Forecast, by Platform (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Function (2017-2030)
11.4.7.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.4.8. Rest of MEA
11.4.8.1. Market Revenue and Forecast, by Platform (2017-2030)
11.4.8.2. Market Revenue and Forecast, by Function (2017-2030)
11.4.8.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.5.5. Brazil
11.5.5.1. Market Revenue and Forecast, by Platform (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Function (2017-2030)
11.5.5.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
11.5.6. Rest of LATAM
11.5.6.1. Market Revenue and Forecast, by Platform (2017-2030)
11.5.6.2. Market Revenue and Forecast, by Function (2017-2030)
11.5.6.3. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
Chapter 12. Company Profiles
12.1. Alteryx, Inc.
12.1.1. Company Overview
12.1.2. Platform Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Datawatch Corporation
12.2.1. Company Overview
12.2.2. Platform Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Informatica Corporation
12.3.1. Company Overview
12.3.2. Platform Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. International Business Machines Corporation
12.4.1. Company Overview
12.4.2. Platform Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Microsoft Corporation
12.5.1. Company Overview
12.5.2. Platform Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. MicroStrategy Incorporated
12.6.1. Company Overview
12.6.2. Platform Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Qlik Technologies Inc.
12.7.1. Company Overview
12.7.2. Platform Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. SAP SE
12.8.1. Company Overview
12.8.2. Platform Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. SAS Institute Inc.
12.9.1. Company Overview
12.9.2. Platform Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Tibco Software Inc.
12.10.1. Company Overview
12.10.2. Platform Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
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