Data Wrangling Market was valued at US$ 2.11 Bn in 2022 and is expected to reach US$ 7.50 Bn by 2029, at a CAGR of 19.82% during a forecast period. The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by regionTo know about the Research Methodology:-Request Free Sample Report Data wrangling is the process of cleaning and unifying messy and intricate data sets for easy access and analysis. Data wrangling mostly involves different sophisticated techniques for handling irregular or diverse data and deploying it for business use cases. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data, and projections with a suitable set of assumptions and methodology. The report also helps in understanding data wrangling market dynamics, structure by identifying and analyzing the market segments and project the global market size. Further, the report also focuses on competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address questions of shareholders to prioritizing the efforts and investment in near future to emerging segment in data wrangling market. One of the major factors is driving the data wrangling market growth is the self-service data preparation model. This model aids organizations to clean the data sets by themselves without concerning data scientists. This factor has effectively permitted the executives in an organization to draw business insights without the interference of IT teams. Moreover, the importance of big data across verticals and the integration of artificial intelligence and machine learning technologies with data wrangling tools is estimated to fuel the growth of the data wrangling market. However, efforts made to keep data quality and lack of knowledge about the data wrangling tools in SMEs can limit the growth of the market. Moreover, rising regulations & growth of edge computing are making growth opportunities for the data wrangling market. Healthcare & life sciences are estimated to grow at the highest CAGR during the forecast period. Healthcare industry verticals face multiple challenges, reaching from new disease outbreaks to maintaining optimal operational efficiency. Data wrangling can help in solving these healthcare challenges. With the huge amount of data available in the healthcare segment like personal information, disease, treatment, medical history, and payment data are created, which need to clean, prepared, and set in a proper format to do analysis. Data wrangling tools would be adopted exponentially with the increase in digitalization in the healthcare & life sciences vertical. The finance business function is expected to hold the largest market share in 2017 in the data wrangling market. The finance business function utilizes the power of analytics to determine risk factors, invest judiciously, increase business processes, identify target customers, access profitability, and predict future events. Furthermore, analytics software also helps in improving client relations, meeting regulatory obligations, driving revenue, streamlining back-office processes, managing risks, and emerging high-quality products and services. North America is projected to hold the largest market share in 2017. This region firms some of the major vendors of data analytics and data wrangling tools like IBM, Oracle, Hitachi Vantara, SAS, and Trifacta that have their headquarters as well as direct sales offices over there. Moreover, Asia Pacific is estimated to grow at the highest CAGR in the global data wrangling market during the forecast period. With a growing number of smart cities and the proliferation of IoT devices, Asia Pacific is likely to witness huge growth in the upcoming years.
Data Wrangling Market Scope: Inquire before buying
Data Wrangling Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2018 to 2022 Market Size in 2022: US $ 2.11 Bn. Forecast Period 2023 to 2029 CAGR: 19.82% Market Size in 2029: US $ 7.50 Bn. Segments Covered: by Component 1.Tools 1.1 Tabula 1.2 CSVKit 1.3 Others 2. Services 2.1 Managed Services 2.2 Professional Services 2.2.1 Consulting Services 2.2.2 Support & Maintenance Services by Deployment Model 1. On-Premises 2. Cloud by Industry 1. Banking, Financial Services, and Insurance 2. Government & Public Sector 3. Healthcare & Life Sciences 4. Retail & Ecommerce 5. Travel & Hospitality 6. Telecom & IT 7. Energy & Utilities 8. Others by Organization Size 1. Small and Medium-Sized Enterprises 2. Large Enterprises by Business Function 1. Marketing and Sales 2. Finance 3. Operations 4. HR 5. Legal Data Wrangling Market by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina Rest of South America)Data Wrangling Market Key Players:
1. Trifacta 2. Datawatch 3. Dataiku 4. IBM 5. SAS Institute 6. Oracle 7. Talend 8. Alteryx 9. TIBCO 10. Paxata 11. Informatica 12. Hitachi Vantara 13. Teradata 14. Datameer 15. Cooladata 16. Unifi 17. Rapid Insight 18. Infogix 19. Zaloni 20. Impetus 21. Ideata Analytics 22. Onedot 23. IRI 24. Brillio 25. TMMDataFrequently Asked questions
1. What is the market size of the Global Data Wrangling Market in 2022? Ans. The market size Global Data Wrangling Market in 2022 was US$ 2.11 Billion. 2. What are the different segments of the Global Data Wrangling Market? Ans. The Global Data Wrangling Market is divided into Component, Deployment Model, Organization Size, Application and Business Function. 3. What is the study period of this market? Ans. The Global Data Wrangling Market will be studied from 2022 to 2029. 4. Which region is expected to hold the highest Global Data Wrangling Market share? Ans. The Asia Pacific dominates the market share in the market. 5. What is the Forecast Period of Global Data Wrangling Market? Ans. The Forecast Period of the market is 2023-2029 in the market.
Global Data Wrangling Market
1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Data Wrangling Market, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Global Data Wrangling Market Industry Trends 5. Supply Side and Demand Side Indicators 6. Global Data Wrangling Market Analysis and Forecast 6.1. Global Data Wrangling Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Data Wrangling Market Analysis and Forecast, by Business Function 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Data Wrangling Market Value Share Analysis, by Business Function 7.4. Global Data Wrangling Market Size (US$ Bn) Forecast, by Business Function 7.5. Global Data Wrangling Market Analysis, by Business Function 7.6. Global Data Wrangling Market Attractiveness Analysis, by Business Function 8. Global Data Wrangling Market Analysis and Forecast, by Component 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Data Wrangling Market Value Share Analysis, by Component 8.4. Global Data Wrangling Market Size (US$ Bn) Forecast, by Component 8.5. Global Data Wrangling Market Analysis, by Component 8.6. Global Data Wrangling Market Attractiveness Analysis, by Component 9. Global Data Wrangling Market Analysis and Forecast, by Deployment Model 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Data Wrangling Market Value Share Analysis, by Deployment Model 9.4. Global Data Wrangling Market Size (US$ Bn) Forecast, by Deployment Model 9.5. Global Data Wrangling Market Analysis, by Deployment Model 9.6. Global Data Wrangling Market Attractiveness Analysis, by Deployment Model 10. Global Data Wrangling Market Analysis and Forecast, by Organization Size 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Data Wrangling Market Value Share Analysis, by Organization Size 10.4. Global Data Wrangling Market Size (US$ Bn) Forecast, by Organization Size 10.5. Global Data Wrangling Market Analysis, by Organization Size 10.6. Global Data Wrangling Market Attractiveness Analysis, by Organization Size 11. Global Data Wrangling Market Analysis and Forecast, by Industry 11.1. Introduction and Definition 11.2. Key Findings 11.3. Global Data Wrangling Market Value Share Analysis, by Industry 11.4. Global Data Wrangling Market Size (US$ Bn) Forecast, by Industry 11.5. Global Data Wrangling Market Analysis, by Industry 11.6. Global Data Wrangling Market Attractiveness Analysis, by Industry 12. Global Data Wrangling Market Analysis, by Region 12.1. Global Data Wrangling Market Value Share Analysis, by Region 12.2. Global Data Wrangling Market Size (US$ Bn) Forecast, by Region 12.3. Global Data Wrangling Market Attractiveness Analysis, by Region 13. North America Data Wrangling Market Analysis 13.1. Key Findings 13.2. North America Data Wrangling Market Overview 13.3. North America Data Wrangling Market Value Share Analysis, by Business Function 13.4. North America Data Wrangling Market Forecast, by Business Function 13.4.1. Marketing and Sales 13.4.2. Finance 13.4.3. Operations 13.4.4. HR 13.4.5. Legal 13.5. North America Data Wrangling Market Value Share Analysis, by Component 13.6. North America Data Wrangling Market Forecast, by Component 13.6.1. Tools 13.6.1.1. Tabula 13.6.1.2. CSVKit 13.6.1.3. Others 13.6.2. Services 13.6.2.1. Managed Services 13.6.2.2. Professional Services 13.6.2.2.1. Consulting Services 13.6.2.2.2. Support & Maintenance Services 13.7. North America Data Wrangling Market Value Share Analysis, by Deployment Model 13.8. North America Data Wrangling Market Forecast, by Deployment Model 13.8.1. On-Premises 13.8.2. Cloud 13.9. North America Data Wrangling Market Value Share Analysis, by Organization Size 13.10. North America Data Wrangling Market Forecast, by Organization Size 13.10.1. Small and Medium-Sized Enterprises 13.10.2. Large Enterprises 13.11. North America Data Wrangling Market Value Share Analysis, by Industry 13.12. North America Data Wrangling Market Forecast, by Industry 13.12.1. Healthcare & Life Sciences 13.12.2. Travel & Hospitality 13.12.3. Government & Public Sector 13.12.4. Retail & Ecommerce 13.12.5. Banking, Financial Services, and Insurance 13.12.6. Telecom & IT 13.12.7. Energy & Utilities 13.12.8. Others 13.13. North America Data Wrangling Market Value Share Analysis, by Country 13.14. North America Data Wrangling Market Forecast, by Country 13.14.1. U.S. 13.14.2. Canada 13.15. North America Data Wrangling Market Analysis, by Country 13.16. U.S. Data Wrangling Market Forecast, by Business Function 13.16.1. Marketing and Sales 13.16.2. Finance 13.16.3. Operations 13.16.4. HR 13.16.5. Legal 13.17. U.S. Data Wrangling Market Forecast, by Component 13.17.1. Tools 13.17.1.1. Tabula 13.17.1.2. CSVKit 13.17.1.3. Others 13.17.2. Services 13.17.2.1. Managed Services 13.17.2.2. Professional Services 13.17.2.2.1. Consulting Services 13.17.2.2.2. Support & Maintenance Services 13.18. U.S. Data Wrangling Market Forecast, by Deployment Model 13.18.1. On-Premises 13.18.2. Cloud 13.19. U.S. Data Wrangling Market Forecast, by Organization Size 13.19.1. Small and Medium-Sized Enterprises 13.19.2. Large Enterprises 13.20. U.S. Data Wrangling Market Forecast, by Industry 13.20.1. Healthcare & Life Sciences 13.20.2. Travel & Hospitality 13.20.3. Government & Public Sector 13.20.4. Retail & Ecommerce 13.20.5. Banking, Financial Services, and Insurance 13.20.6. Telecom & IT 13.20.7. Energy & Utilities 13.20.8. Others 13.21. Canada Data Wrangling Market Forecast, by Business Function 13.21.1. Marketing and Sales 13.21.2. Finance 13.21.3. Operations 13.21.4. HR 13.21.5. Legal 13.22. Canada Data Wrangling Market Forecast, by Component 13.22.1. Tools 13.22.1.1. Tabula 13.22.1.2. CSVKit 13.22.1.3. Others 13.22.2. Services 13.22.2.1. Managed Services 13.22.2.2. Professional Services 13.22.2.2.1. Consulting Services 13.22.2.2.2. Support & Maintenance Services 13.23. Canada Data Wrangling Market Forecast, by Deployment Model 13.23.1. On-Premises 13.23.2. Cloud 13.24. Canada Data Wrangling Market Forecast, by Organization Size 13.24.1. Small and Medium-Sized Enterprises 13.24.2. Large Enterprises 13.25. Canada Data Wrangling Market Forecast, by Industry 13.25.1. Healthcare & Life Sciences 13.25.2. Travel & Hospitality 13.25.3. Government & Public Sector 13.25.4. Retail & Ecommerce 13.25.5. Banking, Financial Services, and Insurance 13.25.6. Telecom & IT 13.25.7. Energy & Utilities 13.25.8. Others 13.26. North America Data Wrangling Market Attractiveness Analysis 13.26.1. By Business Function 13.26.2. By Component 13.26.3. By Deployment Model 13.26.4. By Organization Size 13.26.5. By Industry 13.27. PEST Analysis 13.28. Key Trends 13.29. Key Developments 14. Europe Data Wrangling Market Analysis 14.1. Key Findings 14.2. Europe Data Wrangling Market Overview 14.3. Europe Data Wrangling Market Value Share Analysis, by Business Function 14.4. Europe Data Wrangling Market Forecast, by Business Function 14.4.1. Marketing and Sales 14.4.2. Finance 14.4.3. Operations 14.4.4. HR 14.4.5. Legal 14.5. Europe Data Wrangling Market Value Share Analysis, by Component 14.6. Europe Data Wrangling Market Forecast, by Component 14.6.1. Tools 14.6.1.1. Tabula 14.6.1.2. CSVKit 14.6.1.3. Others 14.6.2. Services 14.6.2.1. Managed Services 14.6.2.2. Professional Services 14.6.2.2.1. Consulting Services 14.6.2.2.2. Support & Maintenance Services 14.7. Europe Data Wrangling Market Value Share Analysis, by Deployment Model 14.8. Europe Data Wrangling Market Forecast, by Deployment Model 14.8.1. On-Premises 14.8.2. Cloud 14.9. Europe Data Wrangling Market Value Share Analysis, by Organization Size 14.10. Europe Data Wrangling Market Forecast, by Organization Size 14.10.1. Small and Medium-Sized Enterprises 14.10.2. Large Enterprises 14.11. Europe Data Wrangling Market Value Share Analysis, by Industry 14.12. Europe Data Wrangling Market Forecast, by Industry 14.12.1. Healthcare & Life Sciences 14.12.2. Travel & Hospitality 14.12.3. Government & Public Sector 14.12.4. Retail & Ecommerce 14.12.5. Banking, Financial Services, and Insurance 14.12.6. Telecom & IT 14.12.7. Energy & Utilities 14.12.8. Others 14.13. Europe Data Wrangling Market Value Share Analysis, by Country 14.14. Europe Data Wrangling Market Forecast, by Country 14.14.1. Germany 14.14.2. U.K. 14.14.3. France 14.14.4. Italy 14.14.5. Spain 14.14.6. Rest of Europe 14.15. Europe Data Wrangling Market Analysis, by Country 14.16. Germany Data Wrangling Market Forecast, by Business Function 14.16.1. Marketing and Sales 14.16.2. Finance 14.16.3. Operations 14.16.4. HR 14.16.5. Legal 14.17. Germany Data Wrangling Market Forecast, by Component 14.17.1. Tools 14.17.1.1. Tabula 14.17.1.2. CSVKit 14.17.1.3. Others 14.17.2. Services 14.17.2.1. Managed Services 14.17.2.2. Professional Services 14.17.2.2.1. Consulting Services 14.17.2.2.2. Support & Maintenance Services 14.18. Germany Data Wrangling Market Forecast, by Deployment Model 14.18.1. On-Premises 14.18.2. Cloud 14.19. Germany Data Wrangling Market Forecast, by Organization Size 14.19.1. Small and Medium-Sized Enterprises 14.19.2. Large Enterprises 14.20. Germany Data Wrangling Market Forecast, by Industry 14.20.1. Healthcare & Life Sciences 14.20.2. Travel & Hospitality 14.20.3. Government & Public Sector 14.20.4. Retail & Ecommerce 14.20.5. Banking, Financial Services, and Insurance 14.20.6. Telecom & IT 14.20.7. Energy & Utilities 14.20.8. Others 14.21. U.K. Data Wrangling Market Forecast, by Business Function 14.21.1. Marketing and Sales 14.21.2. Finance 14.21.3. Operations 14.21.4. HR 14.21.5. Legal 14.22. U.K. Data Wrangling Market Forecast, by Component 14.22.1. Tools 14.22.1.1. Tabula 14.22.1.2. CSVKit 14.22.1.3. Others 14.22.2. Services 14.22.2.1. Managed Services 14.22.2.2. Professional Services 14.22.2.2.1. Consulting Services 14.22.2.2.2. Support & Maintenance Services 14.23. U.K. Data Wrangling Market Forecast, by Deployment Model 14.23.1. On-Premises 14.23.2. Cloud 14.24. U.K. Data Wrangling Market Forecast, by Organization Size 14.24.1. Small and Medium-Sized Enterprises 14.24.2. Large Enterprises 14.25. U.K. Data Wrangling Market Forecast, by Industry 14.25.1. Healthcare & Life Sciences 14.25.2. Travel & Hospitality 14.25.3. Government & Public Sector 14.25.4. Retail & Ecommerce 14.25.5. Banking, Financial Services, and Insurance 14.25.6. Telecom & IT 14.25.7. Energy & Utilities 14.25.8. Others 14.26. France Data Wrangling Market Forecast, by Business Function 14.26.1. Marketing and Sales 14.26.2. Finance 14.26.3. Operations 14.26.4. HR 14.26.5. Legal 14.27. France Data Wrangling Market Forecast, by Component 14.27.1. Tools 14.27.1.1. Tabula 14.27.1.2. CSVKit 14.27.1.3. Others 14.27.2. Services 14.27.2.1. Managed Services 14.27.2.2. Professional Services 14.27.2.2.1. Consulting Services 14.27.2.2.2. Support & Maintenance Services 14.28. France Data Wrangling Market Forecast, by Deployment Model 14.28.1. On-Premises 14.28.2. Cloud 14.29. France Data Wrangling Market Forecast, by Organization Size 14.29.1. Small and Medium-Sized Enterprises 14.29.2. Large Enterprises 14.30. France Data Wrangling Market Forecast, by Industry 14.30.1. Healthcare & Life Sciences 14.30.2. Travel & Hospitality 14.30.3. Government & Public Sector 14.30.4. Retail & Ecommerce 14.30.5. Banking, Financial Services, and Insurance 14.30.6. Telecom & IT 14.30.7. Energy & Utilities 14.30.8. Others 14.31. Italy Data Wrangling Market Forecast, by Business Function 14.31.1. Marketing and Sales 14.31.2. Finance 14.31.3. Operations 14.31.4. HR 14.31.5. Legal 14.32. Italy Data Wrangling Market Forecast, by Component 14.32.1. Tools 14.32.1.1. Tabula 14.32.1.2. CSVKit 14.32.1.3. Others 14.32.2. Services 14.32.2.1. Managed Services 14.32.2.2. Professional Services 14.32.2.2.1. Consulting Services 14.32.2.2.2. Support & Maintenance Services 14.33. Italy Data Wrangling Market Forecast, by Deployment Model 14.33.1. On-Premises 14.33.2. Cloud 14.34. Italy Data Wrangling Market Forecast, by Organization Size 14.34.1. Small and Medium-Sized Enterprises 14.34.2. Large Enterprises 14.35. Italy Data Wrangling Market Forecast, by Industry 14.35.1. Healthcare & Life Sciences 14.35.2. Travel & Hospitality 14.35.3. Government & Public Sector 14.35.4. Retail & Ecommerce 14.35.5. Banking, Financial Services, and Insurance 14.35.6. Telecom & IT 14.35.7. Energy & Utilities 14.35.8. Others 14.36. Spain Data Wrangling Market Forecast, by Business Function 14.36.1. Marketing and Sales 14.36.2. Finance 14.36.3. Operations 14.36.4. HR 14.36.5. Legal 14.37. Spain Data Wrangling Market Forecast, by Component 14.37.1. Tools 14.37.1.1. Tabula 14.37.1.2. CSVKit 14.37.1.3. Others 14.37.2. Services 14.37.2.1. Managed Services 14.37.2.2. Professional Services 14.37.2.2.1. Consulting Services 14.37.2.2.2. Support & Maintenance Services 14.38. Spain Data Wrangling Market Forecast, by Deployment Model 14.38.1. On-Premises 14.38.2. Cloud 14.39. Spain Data Wrangling Market Forecast, by Organization Size 14.39.1. Small and Medium-Sized Enterprises 14.39.2. Large Enterprises 14.40. Spain Data Wrangling Market Forecast, by Industry 14.40.1. Healthcare & Life Sciences 14.40.2. Travel & Hospitality 14.40.3. Government & Public Sector 14.40.4. Retail & Ecommerce 14.40.5. Banking, Financial Services, and Insurance 14.40.6. Telecom & IT 14.40.7. Energy & Utilities 14.40.8. Others 14.41. Rest of Europe Data Wrangling Market Forecast, by Business Function 14.41.1. Marketing and Sales 14.41.2. Finance 14.41.3. Operations 14.41.4. HR 14.41.5. Legal 14.42. Rest of Europe Data Wrangling Market Forecast, by Component 14.42.1. Tools 14.42.1.1. Tabula 14.42.1.2. CSVKit 14.42.1.3. Others 14.42.2. Services 14.42.2.1. Managed Services 14.42.2.2. Professional Services 14.42.2.2.1. Consulting Services 14.42.2.2.2. Support & Maintenance Services 14.43. Rest of Europe Data Wrangling Market Forecast, by Deployment Model 14.43.1. On-Premises 14.43.2. Cloud 14.44. Rest Of Europe Data Wrangling Market Forecast, by Organization Size 14.44.1. Small and Medium-Sized Enterprises 14.44.2. Large Enterprises 14.45. Rest Of Europe Data Wrangling Market Forecast, by Industry 14.45.1. Healthcare & Life Sciences 14.45.2. Travel & Hospitality 14.45.3. Government & Public Sector 14.45.4. Retail & Ecommerce 14.45.5. Banking, Financial Services, and Insurance 14.45.6. Telecom & IT 14.45.7. Energy & Utilities 14.45.8. Others 14.46. Europe Data Wrangling Market Attractiveness Analysis 14.46.1. By Business Function 14.46.2. By Component 14.46.3. By Deployment Model 14.46.4. By Organization Size 14.46.5. By Industry 14.47. PEST Analysis 14.48. Key Trends 14.49. Key Developments 15. Asia Pacific Data Wrangling Market Analysis 15.1. Key Findings 15.2. Asia Pacific Data Wrangling Market Overview 15.3. Asia Pacific Data Wrangling Market Value Share Analysis, by Business Function 15.4. Asia Pacific Data Wrangling Market Forecast, by Business Function 15.4.1. Marketing and Sales 15.4.2. Finance 15.4.3. Operations 15.4.4. HR 15.4.5. Legal 15.5. Asia Pacific Data Wrangling Market Value Share Analysis, by Component 15.6. Asia Pacific Data Wrangling Market Forecast, by Component 15.6.1. Tools 15.6.1.1. Tabula 15.6.1.2. CSVKit 15.6.1.3. Others 15.6.2. Services 15.6.2.1. Managed Services 15.6.2.2. Professional Services 15.6.2.2.1. Consulting Services 15.6.2.2.2. Support & Maintenance Services 15.7. Asia Pacific Data Wrangling Market Value Share Analysis, by Deployment Model 15.8. Asia Pacific Data Wrangling Market Forecast, by Deployment Model 15.8.1. On-Premises 15.8.2. Cloud 15.9. Asia Pacific Data Wrangling Market Value Share Analysis, by Organization Size 15.10. Asia Pacific Data Wrangling Market Forecast, by Organization Size 15.10.1. Small and Medium-Sized Enterprises 15.10.2. Large Enterprises 15.11. Asia Pacific Data Wrangling Market Value Share Analysis, by Industry 15.12. Asia Pacific Data Wrangling Market Forecast, by Industry 15.12.1. Healthcare & Life Sciences 15.12.2. Travel & Hospitality 15.12.3. Government & Public Sector 15.12.4. Retail & Ecommerce 15.12.5. Banking, Financial Services, and Insurance 15.12.6. Telecom & IT 15.12.7. Energy & Utilities 15.12.8. Others 15.13. Asia Pacific Data Wrangling Market Value Share Analysis, by Country 15.14. Asia Pacific Data Wrangling Market Forecast, by Country 15.14.1. China 15.14.2. India 15.14.3. Japan 15.14.4. ASEAN 15.14.5. Rest of Asia Pacific 15.15. Asia Pacific Data Wrangling Market Analysis, by Country 15.16. China Data Wrangling Market Forecast, by Business Function 15.16.1. Marketing and Sales 15.16.2. Finance 15.16.3. Operations 15.16.4. HR 15.16.5. Legal 15.17. China Data Wrangling Market Forecast, by Component 15.17.1. Tools 15.17.1.1. Tabula 15.17.1.2. CSVKit 15.17.1.3. Others 15.17.2. Services 15.17.2.1. Managed Services 15.17.2.2. Professional Services 15.17.2.2.1. Consulting Services 15.17.2.2.2. Support & Maintenance Services 15.18. China Data Wrangling Market Forecast, by Deployment Model 15.18.1. On-Premises 15.18.2. Cloud 15.19. China Data Wrangling Market Forecast, by Organization Size 15.19.1. Small and Medium-Sized Enterprises 15.19.2. Large Enterprises 15.20. China Data Wrangling Market Forecast, by Industry 15.20.1. Healthcare & Life Sciences 15.20.2. Travel & Hospitality 15.20.3. Government & Public Sector 15.20.4. Retail & Ecommerce 15.20.5. Banking, Financial Services, and Insurance 15.20.6. Telecom & IT 15.20.7. Energy & Utilities 15.20.8. Others 15.21. India Data Wrangling Market Forecast, by Business Function 15.21.1. Marketing and Sales 15.21.2. Finance 15.21.3. Operations 15.21.4. HR 15.21.5. Legal 15.22. India Data Wrangling Market Forecast, by Component 15.22.1. Tools 15.22.1.1. Tabula 15.22.1.2. CSVKit 15.22.1.3. Others 15.22.2. Services 15.22.2.1. Managed Services 15.22.2.2. Professional Services 15.22.2.2.1. Consulting Services 15.22.2.2.2. Support & Maintenance Services 15.23. India Data Wrangling Market Forecast, by Deployment Model 15.23.1. On-Premises 15.23.2. Cloud 15.24. India Data Wrangling Market Forecast, by Organization Size 15.24.1. Small and Medium-Sized Enterprises 15.24.2. Large Enterprises 15.25. India Data Wrangling Market Forecast, by Industry 15.25.1. Healthcare & Life Sciences 15.25.2. Travel & Hospitality 15.25.3. Government & Public Sector 15.25.4. Retail & Ecommerce 15.25.5. Banking, Financial Services, and Insurance 15.25.6. Telecom & IT 15.25.7. Energy & Utilities 15.25.8. Others 15.26. Japan Data Wrangling Market Forecast, by Business Function 15.26.1. Marketing and Sales 15.26.2. Finance 15.26.3. Operations 15.26.4. HR 15.26.5. Legal 15.27. Japan Data Wrangling Market Forecast, by Component 15.27.1. Tools 15.27.1.1. Tabula 15.27.1.2. CSVKit 15.27.1.3. Others 15.27.2. Services 15.27.2.1. Managed Services 15.27.2.2. Professional Services 15.27.2.2.1. Consulting Services 15.27.2.2.2. Support & Maintenance Services 15.28. Japan Data Wrangling Market Forecast, by Deployment Model 15.28.1. On-Premises 15.28.2. Cloud 15.29. Japan Data Wrangling Market Forecast, by Organization Size 15.29.1. Small and Medium-Sized Enterprises 15.29.2. Large Enterprises 15.30. Japan Data Wrangling Market Forecast, by Industry 15.30.1. Healthcare & Life Sciences 15.30.2. Travel & Hospitality 15.30.3. Government & Public Sector 15.30.4. Retail & Ecommerce 15.30.5. Banking, Financial Services, and Insurance 15.30.6. Telecom & IT 15.30.7. Energy & Utilities 15.30.8. Others 15.31. ASEAN Data Wrangling Market Forecast, by Business Function 15.31.1. Marketing and Sales 15.31.2. Finance 15.31.3. Operations 15.31.4. HR 15.31.5. Legal 15.32. ASEAN Data Wrangling Market Forecast, by Component 15.32.1. Tools 15.32.1.1. Tabula 15.32.1.2. CSVKit 15.32.1.3. Others 15.32.2. Services 15.32.2.1. Managed Services 15.32.2.2. Professional Services 15.32.2.2.1. Consulting Services 15.32.2.2.2. Support & Maintenance Services 15.33. ASEAN Data Wrangling Market Forecast, by Deployment Model 15.33.1. On-Premises 15.33.2. Cloud 15.34. ASEAN Data Wrangling Market Forecast, by Organization Size 15.34.1. Small and Medium-Sized Enterprises 15.34.2. Large Enterprises 15.35. ASEAN Data Wrangling Market Forecast, by Industry 15.35.1. Healthcare & Life Sciences 15.35.2. Travel & Hospitality 15.35.3. Government & Public Sector 15.35.4. Retail & Ecommerce 15.35.5. Banking, Financial Services, and Insurance 15.35.6. Telecom & IT 15.35.7. Energy & Utilities 15.35.8. Others 15.36. Rest of Asia Pacific Data Wrangling Market Forecast, by Business Function 15.36.1. Marketing and Sales 15.36.2. Finance 15.36.3. Operations 15.36.4. HR 15.36.5. Legal 15.37. Rest of Asia Pacific Data Wrangling Market Forecast, by Component 15.37.1. Tools 15.37.1.1. Tabula 15.37.1.2. CSVKit 15.37.1.3. Others 15.37.2. Services 15.37.2.1. Managed Services 15.37.2.2. Professional Services 15.37.2.2.1. Consulting Services 15.37.2.2.2. Support & Maintenance Services 15.38. Rest of Asia Pacific Data Wrangling Market Forecast, by Deployment Model 15.38.1. On-Premises 15.38.2. Cloud 15.39. Rest of Asia Pacific Data Wrangling Market Forecast, by Organization Size 15.39.1. Small and Medium-Sized Enterprises 15.39.2. Large Enterprises 15.40. Rest of Asia Pacific Data Wrangling Market Forecast, by Industry 15.40.1. Healthcare & Life Sciences 15.40.2. Travel & Hospitality 15.40.3. Government & Public Sector 15.40.4. Retail & Ecommerce 15.40.5. Banking, Financial Services, and Insurance 15.40.6. Telecom & IT 15.40.7. Energy & Utilities 15.40.8. Others 15.41. Asia Pacific Data Wrangling Market Attractiveness Analysis 15.41.1. By Business Function 15.41.2. By Component 15.41.3. By Deployment Model 15.41.4. By Organization Size 15.41.5. By Industry 15.42. PEST Analysis 15.43. Key Trends 15.44. Key Developments 16. Middle East & Africa Data Wrangling Market Analysis 16.1. Key Findings 16.2. Middle East & Africa Data Wrangling Market Overview 16.3. Middle East & Africa Data Wrangling Market Value Share Analysis, by Business Function 16.4. Middle East & Africa Data Wrangling Market Forecast, by Business Function 16.4.1. Marketing and Sales 16.4.2. Finance 16.4.3. Operations 16.4.4. HR 16.4.5. Legal 16.5. Middle East & Africa Data Wrangling Market Value Share Analysis, by Component 16.6. Middle East & Africa Data Wrangling Market Forecast, by Component 16.6.1. Tools 16.6.1.1. Tabula 16.6.1.2. CSVKit 16.6.1.3. Others 16.6.2. Services 16.6.2.1. Managed Services 16.6.2.2. Professional Services 16.6.2.2.1. Consulting Services 16.6.2.2.2. Support & Maintenance Services 16.7. Middle East & Africa Data Wrangling Market Value Share Analysis, by Deployment Model 16.8. Middle East & Africa Data Wrangling Market Forecast, by Deployment Model 16.8.1. On-Premises 16.8.2. Cloud 16.9. Middle East & Africa Data Wrangling Market Value Share Analysis, by Organization Size 16.10. Middle East & Africa Data Wrangling Market Forecast, by Organization Size 16.10.1. Small and Medium-Sized Enterprises 16.10.2. Large Enterprises 16.11. Middle East & Africa Data Wrangling Market Value Share Analysis, by Industry 16.12. Middle East & Africa Data Wrangling Market Forecast, by Industry 16.12.1. Healthcare & Life Sciences 16.12.2. Travel & Hospitality 16.12.3. Government & Public Sector 16.12.4. Retail & Ecommerce 16.12.5. Banking, Financial Services, and Insurance 16.12.6. Telecom & IT 16.12.7. Energy & Utilities 16.12.8. Others 16.13. Middle East & Africa Data Wrangling Market Value Share Analysis, by Country 16.14. Middle East & Africa Data Wrangling Market Forecast, by Country 16.14.1. GCC 16.14.2. South Africa 16.14.3. Rest of Middle East & Africa 16.15. Middle East & Africa Data Wrangling Market Analysis, by Country 16.16. GCC Data Wrangling Market Forecast, by Business Function 16.16.1. Marketing and Sales 16.16.2. Finance 16.16.3. Operations 16.16.4. HR 16.16.5. Legal 16.17. GCC Data Wrangling Market Forecast, by Component 16.17.1. Tools 16.17.1.1. Tabula 16.17.1.2. CSVKit 16.17.1.3. Others 16.17.2. Services 16.17.2.1. Managed Services 16.17.2.2. Professional Services 16.17.2.2.1. Consulting Services 16.17.2.2.2. Support & Maintenance Services 16.18. GCC Data Wrangling Market Forecast, by Deployment Model 16.18.1. On-Premises 16.18.2. Cloud 16.19. GCC Data Wrangling Market Forecast, by Organization Size 16.19.1. Small and Medium-Sized Enterprises 16.19.2. Large Enterprises 16.20. GCC Data Wrangling Market Forecast, by Industry 16.20.1. Healthcare & Life Sciences 16.20.2. Travel & Hospitality 16.20.3. Government & Public Sector 16.20.4. Retail & Ecommerce 16.20.5. Banking, Financial Services, and Insurance 16.20.6. Telecom & IT 16.20.7. Energy & Utilities 16.20.8. Others 16.21. South Africa Data Wrangling Market Forecast, by Business Function 16.21.1. Marketing and Sales 16.21.2. Finance 16.21.3. Operations 16.21.4. HR 16.21.5. Legal 16.22. South Africa Data Wrangling Market Forecast, by Component 16.22.1. Tools 16.22.1.1. Tabula 16.22.1.2. CSVKit 16.22.1.3. Others 16.22.2. Services 16.22.2.1. Managed Services 16.22.2.2. Professional Services 16.22.2.2.1. Consulting Services 16.22.2.2.2. Support & Maintenance Services 16.23. South Africa Data Wrangling Market Forecast, by Deployment Model 16.23.1. On-Premises 16.23.2. Cloud 16.24. South Africa Data Wrangling Market Forecast, by Organization Size 16.24.1. Small and Medium-Sized Enterprises 16.24.2. Large Enterprises 16.25. South Africa Data Wrangling Market Forecast, by Industry 16.25.1. Healthcare & Life Sciences 16.25.2. Travel & Hospitality 16.25.3. Government & Public Sector 16.25.4. Retail & Ecommerce 16.25.5. Banking, Financial Services, and Insurance 16.25.6. Telecom & IT 16.25.7. Energy & Utilities 16.25.8. Others 16.26. Rest of Middle East & Africa Data Wrangling Market Forecast, by Business Function 16.26.1. Marketing and Sales 16.26.2. Finance 16.26.3. Operations 16.26.4. HR 16.26.5. Legal 16.27. Rest of Middle East & Africa Data Wrangling Market Forecast, by Component 16.27.1. Tools 16.27.1.1. Tabula 16.27.1.2. CSVKit 16.27.1.3. Others 16.27.2. Services 16.27.2.1. Managed Services 16.27.2.2. Professional Services 16.27.2.2.1. Consulting Services 16.27.2.2.2. Support & Maintenance Services 16.28. Rest of Middle East & Africa Data Wrangling Market Forecast, by Deployment Model 16.28.1. On-Premises 16.28.2. Cloud 16.29. Rest of Middle East & Africa Data Wrangling Market Forecast, by Organization Size 16.29.1. Small and Medium-Sized Enterprises 16.29.2. Large Enterprises 16.30. Rest of Middle East & Africa Data Wrangling Market Forecast, by Industry 16.30.1. Healthcare & Life Sciences 16.30.2. Travel & Hospitality 16.30.3. Government & Public Sector 16.30.4. Retail & Ecommerce 16.30.5. Banking, Financial Services, and Insurance 16.30.6. Telecom & IT 16.30.7. Energy & Utilities 16.30.8. Others 16.31. Middle East & Africa Data Wrangling Market Attractiveness Analysis 16.31.1. By Business Function 16.31.2. By Component 16.31.3. By Deployment Model 16.31.4. By Organization Size 16.31.5. By Industry 16.32. PEST Analysis 16.33. Key Trends 16.34. Key Developments 17. South America Data Wrangling Market Analysis 17.1. Key Findings 17.2. South America Data Wrangling Market Overview 17.3. South America Data Wrangling Market Value Share Analysis, by Business Function 17.4. South America Data Wrangling Market Forecast, by Business Function 17.4.1. Marketing and Sales 17.4.2. Finance 17.4.3. Operations 17.4.4. HR 17.4.5. Legal 17.5. South America Data Wrangling Market Value Share Analysis, by Component 17.6. South America Data Wrangling Market Forecast, by Component 17.6.1. Tools 17.6.1.1. Tabula 17.6.1.2. CSVKit 17.6.1.3. Others 17.6.2. Services 17.6.2.1. Managed Services 17.6.2.2. Professional Services 17.6.2.2.1. Consulting Services 17.6.2.2.2. Support & Maintenance Services 17.7. South America Data Wrangling Market Value Share Analysis, by Deployment Model 17.8. South America Data Wrangling Market Forecast, by Deployment Model 17.8.1. On-Premises 17.8.2. Cloud 17.9. South America Data Wrangling Market Value Share Analysis, by Organization Size 17.10. South America Data Wrangling Market Forecast, by Organization Size 17.10.1. Small and Medium-Sized Enterprises 17.10.2. Large Enterprises 17.11. South America Data Wrangling Market Value Share Analysis, by Industry 17.12. South America Data Wrangling Market Forecast, by Industry 17.12.1. Healthcare & Life Sciences 17.12.2. Travel & Hospitality 17.12.3. Government & Public Sector 17.12.4. Retail & Ecommerce 17.12.5. Banking, Financial Services, and Insurance 17.12.6. Telecom & IT 17.12.7. Energy & Utilities 17.12.8. Others 17.13. South America Data Wrangling Market Value Share Analysis, by Country 17.14. South America Data Wrangling Market Forecast, by Country 17.14.1. Brazil 17.14.2. Mexico 17.14.3. Rest of South America 17.15. South America Data Wrangling Market Analysis, by Country 17.16. Brazil Data Wrangling Market Forecast, by Business Function 17.16.1. Marketing and Sales 17.16.2. Finance 17.16.3. Operations 17.16.4. HR 17.16.5. Legal 17.17. Brazil Data Wrangling Market Forecast, by Component 17.17.1. Tools 17.17.1.1. Tabula 17.17.1.2. CSVKit 17.17.1.3. Others 17.17.2. Services 17.17.2.1. Managed Services 17.17.2.2. Professional Services 17.17.2.2.1. Consulting Services 17.17.2.2.2. Support & Maintenance Services 17.18. Brazil Data Wrangling Market Forecast, by Deployment Model 17.18.1. On-Premises 17.18.2. Cloud 17.19. Brazil Data Wrangling Market Forecast, by Organization Size 17.19.1. Small and Medium-Sized Enterprises 17.19.2. Large Enterprises 17.20. Brazil Data Wrangling Market Forecast, by Industry 17.20.1. Healthcare & Life Sciences 17.20.2. Travel & Hospitality 17.20.3. Government & Public Sector 17.20.4. Retail & Ecommerce 17.20.5. Banking, Financial Services, and Insurance 17.20.6. Telecom & IT 17.20.7. Energy & Utilities 17.20.8. Others 17.21. Mexico Data Wrangling Market Forecast, by Business Function 17.21.1. Marketing and Sales 17.21.2. Finance 17.21.3. Operations 17.21.4. HR 17.21.5. Legal 17.22. Mexico Data Wrangling Market Forecast, by Component 17.22.1. Tools 17.22.1.1. Tabula 17.22.1.2. CSVKit 17.22.1.3. Others 17.22.2. Services 17.22.2.1. Managed Services 17.22.2.2. Professional Services 17.22.2.2.1. Consulting Services 17.22.2.2.2. Support & Maintenance Services 17.23. Mexico Data Wrangling Market Forecast, by Deployment Model 17.23.1. On-Premises 17.23.2. Cloud 17.24. Mexico Data Wrangling Market Forecast, by Organization Size 17.24.1. Small and Medium-Sized Enterprises 17.24.2. Large Enterprises 17.25. Mexico Data Wrangling Market Forecast, by Industry 17.25.1. Healthcare & Life Sciences 17.25.2. Travel & Hospitality 17.25.3. Government & Public Sector 17.25.4. Retail & Ecommerce 17.25.5. Banking, Financial Services, and Insurance 17.25.6. Telecom & IT 17.25.7. Energy & Utilities 17.25.8. Others 17.26. Rest of South America Data Wrangling Market Forecast, by Business Function 17.26.1. Marketing and Sales 17.26.2. Finance 17.26.3. Operations 17.26.4. HR 17.26.5. Legal 17.27. Rest of South America Data Wrangling Market Forecast, by Component 17.27.1. Tools 17.27.1.1. Tabula 17.27.1.2. CSVKit 17.27.1.3. Others 17.27.2. Services 17.27.2.1. Managed Services 17.27.2.2. Professional Services 17.27.2.2.1. Consulting Services 17.27.2.2.2. Support & Maintenance Services 17.28. Rest of South America Data Wrangling Market Forecast, by Deployment Model 17.28.1. On-Premises 17.28.2. Cloud 17.29. Rest of South America Data Wrangling Market Forecast, by Organization Size 17.29.1. Small and Medium-Sized Enterprises 17.29.2. Large Enterprises 17.30. Rest of South America Data Wrangling Market Forecast, by Industry 17.30.1. Healthcare & Life Sciences 17.30.2. Travel & Hospitality 17.30.3. Government & Public Sector 17.30.4. Retail & Ecommerce 17.30.5. Banking, Financial Services, and Insurance 17.30.6. Telecom & IT 17.30.7. Energy & Utilities 17.30.8. Others 17.31. South America Data Wrangling Market Attractiveness Analysis 17.31.1. By Business Function 17.31.2. By Component 17.31.3. By Deployment Model 17.31.4. By Organization Size 17.31.5. By Industry 17.32. PEST Analysis 17.33. Key Trends 17.34. Key Developments 18. Company Profiles 18.1. Market Share Analysis, by Company 18.2. Competition Matrix 18.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 18.2.2. New Product Launches and Product Enhancements 18.2.3. Market Consolidation 18.2.3.1. M&A by Regions, Investment and Applications 18.2.3.2. M&A Key Players, Forward Integration and Backward Integration 18.3. Company Profiles : Key Players 18.3.1. Trifacta 18.3.1.1. Company Overview 18.3.1.2. Financial Overview 18.3.1.3. Product Portfolio 18.3.1.4. Business Strategy 18.3.1.5. Recent Developments 18.3.1.6. Development Footprint 18.3.2. Datawatch 18.3.3. Dataiku 18.3.4. IBM 18.3.5. SAS Institute 18.3.6. Oracle 18.3.7. Talend 18.3.8. Alteryx 18.3.9. TIBCO 18.3.10. Paxata 18.3.11. Informatica 18.3.12. Hitachi Vantara 18.3.13. Teradata 18.3.14. Datameer 18.3.15. Cooladata 18.3.16. Unifi 18.3.17. Rapid Insight 18.3.18. Infogix 18.3.19. Zaloni 18.3.20. Impetus 18.3.21. Ideata Analytics 18.3.22. Onedot 18.3.23. IRI 18.3.24. Brillio 18.3.25. TMMData 19. Primary Key Insights
