Data Preparation Tools Market (By Platform: Data integration, Self service; By Deployment: Cloud, On-premise; By Verticle: Data Collection, Data Cataloging, Data Quality, Data Governance, Data Ingestion, Data Curation; By Functions: IT & Telecom, Retail & E-commerce, BFSI, Government, Healthcare, Energy & Utilities, Transportation, Manufacturing) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2033
The global data preparation tools market size was valued at USD 6.03 billion in 2023 and is anticipated to reach around USD 26.90 billion by 2033, expanding at a CAGR of 16.13% from 2024 to 2033.
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The U.S. data preparation tools market was estimated at USD 1.63 billion in 2023 and is predicted to be worth around USD 7.31 billion by 2033, at a CAGR of 16.19% from 2024 to 2033.
North America led the data preparation tools market with the largest market share in 2023. The growth of the market in the region is attributed to the rising digitalization and the technological advancements in the industries in the region is driving the growth of the market. The rise in the IT and telecom sector and the rising investments in further innovation and development in technologies are propelling the market’s growth. Additionally, the early adoption of technologies and the rising investments in cloud technologies in organizations are looking for data preparation solutions and the rise in the data-drives enterprise is driving the growth of the data preparation tools market in the region.
Asia Pacific is expected to witness the fastest growth in the data preparation tools market during the forecast period. The growth of the market in the region is expected to increase due to the rising foreign investments, especially in the IT and telecom sectors of the region. The rise in digitization across the region for the development of data-driven enterprises is contributing to the expansion of the data preparation tools market in the region. Moreover, the emphasis on technological advancements along with the integration of AI and ML solutions in the industry is observed to create a potential for the market to expand in the upcoming years.
The Asia Pacific data preparation tools market was calculated at USD 1.51 billion in 2023 and is estimated to cross around USD 6.86 billion by 2033 with a remarkable CAGR of 16.34% from 2024 to 2033.
Years | Market Size (USD Billion) |
2023 | 1.51 |
2024 | 1.79 |
2025 | 2.04 |
2026 | 2.37 |
2027 | 2.76 |
2028 | 3.22 |
2029 | 3.74 |
2030 | 4.36 |
2031 | 5.07 |
2032 | 5.89 |
2033 | 6.86 |
Data preparation is an agile and complex process of cleaning, finding, transforming, combining, and sharing curated database for different analytics and data that includes the use cases as data science/machine learning (ML), analytics/business intelligence (BI), and self-service data integration. Data preparation tools provides the faster insights to the analysts, data engineers, citizen integrators, and citizen data scientists and delivers curated and combined data. Some of the tools are designed with the machine learning algorithms and in some tools it’s automated to do repeated data preparation tasks. The rising digitalization across industries are generating the large databases in the organization that demand for the efficient and faster tools which drives the growth of the data preparation tools market.
Report Coverage | Details |
Growth Rate from 2024 to 2033 | CAGR of 16.13% |
Global Market Size in 2023 | USD 6.03 Billion |
Global Market Size in 2024 | USD 7 Billion |
Global Market Size by 2033 | USD 26.90 Billion |
Largest Market | North America |
Base Year | 2023 |
Forecast Period | 2024 to 2033 |
Segments Covered | By Platform, By Deployment, By Verticle, and By Functions |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Driver:
Expansion of IT infrastructure
The rise in the IT and telecom infrastructure in the economically developed and developing countries globally that are highly contributing in the expansion of the market. The rise in the telecom industry and the major market players are evolving continuously which had the large database of the consumers that demand the high-end solution for the data analyzing and management that boosts the company insights and helps in making informed decision which helps to make company grow.
Data preparation tools help the telecom and IT sector by enhancing analytics, productivity, and increased organizational data usage. In recent times, many major firms adopted data preparation tools for enhancing the services of their company and sustaining their business which contributed to the growth of the data preparation tools market.
Restraint:
Complexity and skill requirements
Some data preparation tools may be complex to use, requiring significant technical expertise or training. This can limit their adoption by users who lack the necessary skills or resources.
Cost can be a significant barrier to adoption for some organizations, especially smaller businesses or startups with limited budgets. High licensing fees or subscription costs for data preparation tools may deter potential users.
Opportunity:
Wider acceptance in various industries
There are wide range of industries that are adopting data preparation tools for enhancing the consumer experience and growth of the industries. The launch of digital capturing devices like smartphone cameras is the biggest contributor to increasing the data volume. There are large numbers of data generated or gathered by the various modes of mobile platforms such as websites, apps, and social networks.
The e-commerce industry is widely accepted data preparation by enabling image labeling, in this consumer search for their choice of accessory, clothing, and other material, they just take a picture of it from their smartphone which is uploaded by the e-commerce site which uses the artificial intelligence they analyze the picture and show the similar results to the website. For instance, the e-commerce industry is leveraging data preparation tools to increase its services and generate opportunities for the market’s growth.
The data integration platform segment dominated the data preparation tools market with the largest market share in 2023. The growth of the segment in the market is attributed to the higher adoption of the data integration platform by major companies due to ease of management, accessibility, and business intelligence.
The adoption of digitization in the industries is driving the demand for data integration solutions. Many online companies are using several platforms for advertising their products, selling, handling clients, managing traffic on their website, etc. data integration platform helps to maintain and integrate all these data into one platform and analyzes it’s with reduced time and enhanced efficiency. The rising industrial development in the countries is driving the expansion of the data integration platform.
The data collection segment led the data preparation tools market in 2023. The growth of the segment is due to the rising demand for the data collection process by the companies to make informed decisions and enhance the productivity of the companies. Data collection is the process of gathering data on a specific topic for research and marketing purposes. High-quality data collection is categorized into seven types that are accuracy, validity, time relevance, reliability, accessibility, completeness, and uniqueness. The quality of data collection is differentiated by the source of the data collection. Companies collect data from reliable sources for better decision-making and to improve the productivity of the company.
The IT and telecom segment dominated the data preparation tools market in 2023. In industries like IT and telecom, massive amounts of data are generated daily from various sources such as customer interactions, network operations, and service usage. This data needs to be cleaned, integrated, and prepared for analysis to extract valuable insights and make informed decisions. Data preparation tools play a crucial role in this process by automating tasks like data cleansing, normalization, and transformation, allowing organizations to streamline their data pipelines and accelerate their analytics initiatives.
The cloud segment dominated the data preparation tools market in 2023. The segment is observed to sustain the position throughout the forecast period. The growth of the segment is attributed to the rising adoption of cloud technologies by data-driven companies as it offers the user access to local and cloud sources. Most of the data interpretation tools are deployed with cloud technologies.
For instance: Alteryx Designer Cloud, Tableau Prep Builder, Microsoft Power BI, Talend Data Preparation Tool, Datameer, AWS Glue DataBrew, Altair Monarch, Dataiku, etc are a few of the companies that have already adopted cloud solutions.
Segments Covered in the Report
By Platform
By Deployment
By Verticle
By Functions
By Geography
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
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 Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Data Preparation Tools Market
5.1. COVID-19 Landscape: Data Preparation Tools Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Data Preparation Tools Market, By Platform
8.1. Data Preparation Tools Market, by Platform, 2024-2033
8.1.1. Data integration
8.1.1.1. Market Revenue and Forecast (2021-2033)
8.1.2. Self service
8.1.2.1. Market Revenue and Forecast (2021-2033)
Chapter 9. Global Data Preparation Tools Market, By Deployment
9.1. Data Preparation Tools Market, by Deployment, 2024-2033
9.1.1. Cloud
9.1.1.1. Market Revenue and Forecast (2021-2033)
9.1.2. On-premise
9.1.2.1. Market Revenue and Forecast (2021-2033)
Chapter 10. Global Data Preparation Tools Market, By Verticle
10.1. Data Preparation Tools Market, by Verticle, 2024-2033
10.1.1. Data Collection
10.1.1.1. Market Revenue and Forecast (2021-2033)
10.1.2. Data Cataloging
10.1.2.1. Market Revenue and Forecast (2021-2033)
10.1.3. Data Governance
10.1.3.1. Market Revenue and Forecast (2021-2033)
10.1.4. Data Ingestion
10.1.4.1. Market Revenue and Forecast (2021-2033)
10.1.5. Data Curation
10.1.5.1. Market Revenue and Forecast (2021-2033)
Chapter 11. Global Data Preparation Tools Market, By Functions
11.1. Data Preparation Tools Market, by Functions, 2024-2033
11.1.1. IT & Telecom
11.1.1.1. Market Revenue and Forecast (2021-2033)
11.1.2. Retail & E-commerce
11.1.2.1. Market Revenue and Forecast (2021-2033)
11.1.3. BFSI
11.1.3.1. Market Revenue and Forecast (2021-2033)
11.1.4. Government
11.1.4.1. Market Revenue and Forecast (2021-2033)
11.1.5. Healthcare
11.1.5.1. Market Revenue and Forecast (2021-2033)
11.1.6. Energy & Utilities
11.1.6.1. Market Revenue and Forecast (2021-2033)
11.1.7. Transportation
11.1.7.1. Market Revenue and Forecast (2021-2033)
11.1.8. Manufacturing
11.1.8.1. Market Revenue and Forecast (2021-2033)
Chapter 12. Global Data Preparation Tools Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Platform (2021-2033)
12.1.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.1.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.1.4. Market Revenue and Forecast, by Functions (2021-2033)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.1.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.1.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.1.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Platform (2021-2033)
12.1.6.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.1.6.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.1.6.4. Market Revenue and Forecast, by Functions (2021-2033)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Platform (2021-2033)
12.2.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.2.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.2.4. Market Revenue and Forecast, by Functions (2021-2033)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.2.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.2.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.2.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Platform (2021-2033)
12.2.6.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.2.6.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.2.6.4. Market Revenue and Forecast, by Functions (2021-2033)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Platform (2021-2033)
12.2.7.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.2.7.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.2.7.4. Market Revenue and Forecast, by Functions (2021-2033)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Platform (2021-2033)
12.2.8.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.2.8.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.2.8.4. Market Revenue and Forecast, by Functions (2021-2033)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Platform (2021-2033)
12.3.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.3.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.3.4. Market Revenue and Forecast, by Functions (2021-2033)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.3.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.3.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.3.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Platform (2021-2033)
12.3.6.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.3.6.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.3.6.4. Market Revenue and Forecast, by Functions (2021-2033)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Platform (2021-2033)
12.3.7.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.3.7.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.3.7.4. Market Revenue and Forecast, by Functions (2021-2033)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Platform (2021-2033)
12.3.8.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.3.8.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.3.8.4. Market Revenue and Forecast, by Functions (2021-2033)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Platform (2021-2033)
12.4.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.4.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.4.4. Market Revenue and Forecast, by Functions (2021-2033)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.4.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.4.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.4.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Platform (2021-2033)
12.4.6.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.4.6.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.4.6.4. Market Revenue and Forecast, by Functions (2021-2033)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Platform (2021-2033)
12.4.7.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.4.7.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.4.7.4. Market Revenue and Forecast, by Functions (2021-2033)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Platform (2021-2033)
12.4.8.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.4.8.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.4.8.4. Market Revenue and Forecast, by Functions (2021-2033)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Platform (2021-2033)
12.5.5.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.5.5.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.5.5.4. Market Revenue and Forecast, by Functions (2021-2033)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Platform (2021-2033)
12.5.6.2. Market Revenue and Forecast, by Deployment (2021-2033)
12.5.6.3. Market Revenue and Forecast, by Verticle (2021-2033)
12.5.6.4. Market Revenue and Forecast, by Functions (2021-2033)
Chapter 13. Company Profiles
13.1. Alteryx, Inc.
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Datawatch Corporation
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Informatica Corporation
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. International Business Machines Corporation
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Microsoft Corporation
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Micro Strategy Incorporated
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Qlik Technologies Inc.
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. SAP SE
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. SAS Institute Inc.
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Tibco Software Inc.
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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