세계의 데이터 랭글링 시장 : 컴포넌트, 비즈니스 기능, 전개 형태, 조직 규모, 최종 사용자별 예측(2025-2030년)

The Data Wrangling Market was valued at USD 4.31 billion in 2023, expected to reach USD 4.99 billion in 2024, and is projected to grow at a CAGR of 9.98%, to USD 8.39 billion by 2030.

Data wrangling, a crucial process in the scope of market research analysis, involves cleaning, structuring, and enriching raw data into a desired format for better decision-making. It is necessary because unrefined data often contains inconsistencies, errors, and irrelevant information that can lead to inaccurate market insights. The application of data wrangling spans across various sectors, facilitating businesses to optimize their strategic planning and forecasting efforts by providing clearer, actionable insights. Its end-use scope primarily targets businesses seeking to enhance operational efficiency, refine customer targeting, and effectively gauge market trends. Influencing growth factors in this domain include the rapid expansion of big data and analytics technologies, increasing digitization across industries, and the rising demand for real-time data processing. This necessity has carved out opportunities in automating wrangling processes with artificial intelligence and machine learning, allowing firms to handle larger volumes of data more accurately and efficiently. Moreover, growth prospects lie in innovations that combine data wrangling with blockchain technologies for enhanced data security and integrity. However, challenges such as data privacy concerns, the high cost of advanced technologies, and a scarcity of skilled professionals pose significant limitations. To navigate these issues, businesses should focus on investing in employee training and cost-effective wrangling solutions. Emerging areas of innovation and research include the development of user-friendly tools that empower non-technical users to perform data wrangling independently, and integrated platforms that seamlessly combine wrangling with visualization and analytics. Considering the dynamic nature of the market, organizations that effectively leverage these innovations stand a better chance to gain competitive advantages. Ultimately, market research analysts must continually adapt to evolving technologies and methodologies to capture precise insights and drive business growth in an increasingly data-driven landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Data Wrangling Market

The Data Wrangling Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing volumes of digital data and data security concerns
  • Introduction of AI and big-data technologies in IoT devices
  • Trends of bring your own device (BYOD) and enterprise mobility
• Market Restraints
  • Problems related to scalability and performance
• Market Opportunities
  • Robust research activities to enhance and develop improved data wrangling
  • High spending and inclination toward automated solutions
• Market Challenges
  • Data security and privacy concerns associated with data wrangling

Porter's Five Forces: A Strategic Tool for Navigating the Data Wrangling Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Data Wrangling Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Data Wrangling Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Data Wrangling Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Data Wrangling Market

A detailed market share analysis in the Data Wrangling Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Data Wrangling Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Data Wrangling Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Data Wrangling Market

A strategic analysis of the Data Wrangling Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Data Wrangling Market, highlighting leading vendors and their innovative profiles. These include Altair Engineering Inc., Alteryx, Cambridge Semantics, Cloud Software Group, Inc., Cloudera, Inc., Dataiku, Datameer, Inc., DataRobot, Inc., Fivetran Inc., Hitachi Vantara Corporation, Informatica Inc., International Business Machines Corporation, Microsoft Corporation, MicroStrategy Incorporated, NumFOCUS, Inc., Oracle Corporation, QlikTech International AB, Quest Software Inc., Rapid Insight Inc., SAS Institute Inc., TABLEAU SOFTWARE, LLC, TAMR, Inc, and Teradata Corporation.

Market Segmentation & Coverage

This research report categorizes the Data Wrangling Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Service and Tools.
• Based on Business Function, market is studied across Finance, Human Resources & Legal, Marketing & Sales, and Operations.
• Based on Deployment Mode, market is studied across Cloud and On-premise.
• Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises.
• Based on End-User, market is studied across BFSI, Energy & Utilities, Healthcare & Life Sciences, Retail & eCommerce, Telecom & IT, Transportation & Logistics, and Travel & Hospitality.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing volumes of digital data and data security concerns
    • 5.1.1.2. Introduction of AI and big-data technologies in IoT devices
    • 5.1.1.3. Trends of bring your own device (BYOD) and enterprise mobility
  • 5.1.2. Restraints
    • 5.1.2.1. Problems related to scalability and performance
  • 5.1.3. Opportunities
    • 5.1.3.1. Robust research activities to enhance and develop improved data wrangling
    • 5.1.3.2. High spending and inclination toward automated solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Data security and privacy concerns associated with data wrangling
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Data Wrangling Market, by Component

• 6.1. Introduction
• 6.2. Service
• 6.3. Tools

7. Data Wrangling Market, by Business Function

• 7.1. Introduction
• 7.2. Finance
• 7.3. Human Resources & Legal
• 7.4. Marketing & Sales
• 7.5. Operations

8. Data Wrangling Market, by Deployment Mode

• 8.1. Introduction
• 8.2. Cloud
• 8.3. On-premise

9. Data Wrangling Market, by Organization Size

• 9.1. Introduction
• 9.2. Large Enterprises
• 9.3. Small & Medium-Sized Enterprises

10. Data Wrangling Market, by End-User

• 10.1. Introduction
• 10.2. BFSI
• 10.3. Energy & Utilities
• 10.4. Healthcare & Life Sciences
• 10.5. Retail & eCommerce
• 10.6. Telecom & IT
• 10.7. Transportation & Logistics
• 10.8. Travel & Hospitality

11. Americas Data Wrangling Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Data Wrangling Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Data Wrangling Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Altair Engineering Inc.
• 2. Alteryx
• 3. Cambridge Semantics
• 4. Cloud Software Group, Inc.
• 5. Cloudera, Inc.
• 6. Dataiku
• 7. Datameer, Inc.
• 8. DataRobot, Inc.
• 9. Fivetran Inc.
• 10. Hitachi Vantara Corporation
• 11. Informatica Inc.
• 12. International Business Machines Corporation
• 13. Microsoft Corporation
• 14. MicroStrategy Incorporated
• 15. NumFOCUS, Inc.
• 16. Oracle Corporation
• 17. QlikTech International AB
• 18. Quest Software Inc.
• 19. Rapid Insight Inc.
• 20. SAS Institute Inc.
• 21. TABLEAU SOFTWARE, LLC
• 22. TAMR, Inc
• 23. Teradata Corporation