Data Preparation Tools Market (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) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook 20212030

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.

Data Preparation Tools Market Size 2021 to 2030

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.

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.

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.

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.

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. 

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.

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.

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.

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

The Data Preparation Tools market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report provides size (in terms of volume and value) of Data Preparation Tools market for the base year 2020 and the forecast between 2021 and 2030. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

This report focuses on the global Data Preparation Tools market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Preparation Tools market development in United States, Europe and China.

It is pertinent to consider that in a volatile global economy, we haven’t just conducted Data Preparation Tools market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.

In terms of production side, this report researches the Data Preparation Tools capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.

In terms of consumption side, this report focuses on the consumption of Data Preparation Tools by regions (countries) and application.

Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Data Preparation Tools market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2030. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Data Preparation Tools market companies.

Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Data Preparation Tools market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.

The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.

Overall, this is an in-depth research report specifically for the Data Preparation Tools industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.

Data Preparation Tools market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Data Preparation Tools market.

Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Data Preparation Tools market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.

Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Data Preparation Tools market. These factors have benefited the growth of the global market for Data Preparation Tools. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.

New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Data Preparation Tools. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).

In this study, the years considered to estimate the market size of Data Preparation Tools are as follows:

  • History Year: 2017-2020
  • Base Year: 2021
  • Forecast Year 2021 to 2030

Reasons to Purchase this Report:


- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

The study objectives of this report are:

  • To analyze and study the global market capacity, production, value, consumption, status (2017-2020) and forecast (2021-2030);
  • Focuses on the key manufacturers, to study the capacity, production, value, market share and development plans in future.
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
  • To strategically profile the key players and comprehensively analyze their growth strategies.

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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