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| Report Code: A05640 | Feb 2020 | Pages: 270 | ||
| Tables: 129 | Charts: 77 |
| |
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Request Now !The global data wrangling market size was valued at $1,458.69 million in 2018 and is projected to reach $5,581.18 million by 2026, growing at a CAGR of 18.40% from 2019 to 2026. Data wrangling implies to the process of cleaning, restructuring, and enhancing the available raw data into the desired format to enable informed & better decision making in less time. As the complex data sets can be a barrier for data analysis. Thus, data wrangling has transformed the process, changing tedious, time-consuming attempts to master various data sources. The advantage of data wrangling is that it can be structured into a standardized and repeatable process that transforms data sources in a common format, which can be used again multiple times.
Key Market Drivers:
The data wrangling market trends include increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional ETL tools to advance automated tools hampers the growth of the market. Furthermore, increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future.
The BFSI sector dominated the data wrangling market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to the adoption of data wrangling technology among banks to focus on relationships in banking data to uncover patterns of suspicious fraudster activity. Furthermore, the retail & e-commerce sector is expected to grow at a significant CAGR during the forecast period, owing to the adoption of data wrangling technology among the e-commerce industry for delivering real-time recommendations to the online shoppers.
Report Coverage:
The report focuses on the growth prospects, restraints, and trends of the data wrangling market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the data wrangling market.
Market Segmentation:
The global data wrangling market is segmented into component, deployment model, organization size, business function, industry vertical, and region. In terms of component, it is bifurcated into solution and service. Based on deployment model, the market is segmented into on-premise and cloud. By organization size, it is divided into large enterprises and small-and medium-sized enterprises (SME’s). In terms of business function, the market is classified into finance, marketing & sales, operations and human resources. As per industry vertical, the market is segmented into BFSI, government & public sector, healthcare & life science, retail and e-commerce, media & entertainment, energy & utilities, IT & telecom, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyses the profiles of key players operating in the market IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Top Impacting Factors
Numerous Benefits Provided by Data Wrangling Solutions
Ability of big data analytics software to deliver better and faster decision-making and to provide competitive advantage by analyzing & acting upon information in a timely manner propels the growth of the market. In addition, the demand for big data analytics software is continuously increasing, owing to the benefits offered such as easy access to vital business metrics, useful insight on customer behavior, increased revenue, improved efficiency, and others. Furthermore, companies are adopting data wrangling for real-time forecasting and monitoring of various occasions that may affect the performance of the organizations. In addition, ability of the solution to mitigate risks by optimizing complex decisions about unplanned events such as cyberattacks, and other crisis more quickly propel the growth of the data wrangling market.
Lack of Awareness of Data Wrangling Tools Among SMEs
Lack of awareness about the product and higher penetration of traditional ETL tools is restraining the market growth. In addition, data wrangling is used to gain meaningful insights from raw data and to solve time sensitive business scenario with the adoption of different emerging technologies such as machine learning and big data analytics. Thus, organization are lacking the appropriate functionality for adopting this technology among businesses, which in turns hampers the growth of the market. Furthermore, lack of awareness of data wrangling techniques among the organization in emerging countries such as China and India, hinder the growth of the market. In addition, high cost of associated with the implementation of wrangling technology hampers the growth of the market.
Data Wrangling Market Report Highlights
| Aspects | Details |
|---|---|
| By Component |
|
| By Deployment Mode |
|
| By Organization Size |
|
| By Business Function |
|
| By Industry Vertical |
|
| By Region |
|
| Key Market Players | SAS Institute Inc., Teradata Corporation, TIBCO Software Inc., International Business Machines Corporation, Trifacta, Paxata, Inc., Impetus Technologies, Inc., Alteryx, Inc., Oracle Corporation, Hitachi Vantara Corporation |
CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. By Region
1.5. Research methodology
1.5.1. Secondary research
1.5.2. Primary research
1.5.3. Analyst tools & models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings
2.1.1. Top impacting factors
2.1.2. Top investment pockets
2.2. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key forces shaping global Data wrangling market
3.3. Case Studies
3.3.1. Case Study 01
3.3.2. Case Study 02
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Increase in adoption of big data analytics software by multiple organizations
3.4.1.2. Surge in demand for cloud-based big data analytics software among SMEs
3.4.1.3. Numerous benefits provided by data wranglingsolutions
3.4.2. Restraints
3.4.2.1. Lack of Awareness of Data Wrangling Tools Among SMEs
3.4.2.2. Concerns regarding the data quality issues.
3.4.3. Opportunities
3.4.3.1. Growth of Edge Computing
CHAPTER 4: GLOBAL DATA WRANGLING MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country
4.3. Services
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country
CHAPTER 5: GLOBAL DATA WRANGLING MARKET, BY DEPLOYMENT MODE
5.1. Overview
5.1.1. Market size and forecast
5.2. On-Premise
5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis by country
5.3. Cloud
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis by country
CHAPTER 6: GLOBAL DATA WRANGLING MARKET, BY ORGANIZATION SIZE
6.1. Overview
6.1.1. Market size and forecast
6.2. Large Enterprises
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis by country
6.3. Small & Medium Enterprises
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country
CHAPTER 7: GLOBAL DATA WRANGLING MARKET, BY BUSINESS FUNCTION
7.1. Overview
7.1.1. Market size and forecast
7.2. Finance
7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis, by country
7.3. Marketing & Sales
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis by country
7.4. Operations & Supply chain
7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market analysis, by country
7.6. Human Resources
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market analysis by country
CHAPTER 8: DATA WRANGLING MARKET, BY INDUSTRY VERTICAL
8.1. Overview
8.1.1. Market size and forecast
8.2. BFSI
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by region
8.2.3. Market analysis by country
8.3. Manufacturing
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by region
8.3.3. Market analysis by country
8.4. Healthcare
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by region
8.4.3. Market analysis by country
8.5. Government
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by region
8.5.3. Market analysis by country
8.6. Retail & Ecommerce
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by region
8.6.3. Market analysis by country
8.7. IT & Telecom
8.7.1. Key market trends, growth factors and opportunities
8.7.2. Market size and forecast, by region
8.7.3. Market analysis by country
8.8. Education
8.8.1. Key market trends, growth factors and opportunities
8.8.2. Market size and forecast, by region
8.8.3. Market analysis by country
8.9. Others
8.9.1. Key market trends, growth factors and opportunities
8.9.2. Market size and forecast, by region
8.9.3. Market analysis by country
CHAPTER 9: GLOBAL DATA WRANGLING MARKET, BY REGION
9.1. Overview
9.1.1. Market size and forecast, by region
9.2. North America
9.2.1. Key market trends, growth factors and opportunities
9.2.2. Market size and forecast, by component
9.2.3. Market size and forecast, by deployment model
9.2.4. Market size and forecast, by organization size
9.2.5. Market size and forecast, by business function
9.2.6. Market size and forecast, by industry vertical
9.2.7. Market analysis by Country
9.2.7.1. U.S.
9.2.7.1.1. Market size and forecast, by component
9.2.7.1.2. Market size and forecast, by deployment model
9.2.7.1.3. Market size and forecast, by enterprise size
9.2.7.1.4. Market size and forecast, by business function
9.2.7.1.5. Market size and forecast, by industry vertical
9.2.7.2. CANADA
9.2.7.2.1. Market size and forecast, by component
9.2.7.2.2. Market size and forecast, by deployment model
9.2.7.2.3. Market size and forecast, by organization size
9.2.7.2.4. Market size and forecast, by business function
9.2.7.2.5. Market size and forecast, by industry vertical
9.3. Europe
9.3.1. Key market trends, growth factors and opportunities
9.3.2. Market size and forecast, by component
9.3.3. Market size and forecast, by deployment model
9.3.4. Market size and forecast, by organization size
9.3.5. Market size and forecast, by business function
9.3.6. Market size and forecast, by industry vertical
9.3.7. Market analysis by Country
9.3.7.1. UK
9.3.7.1.1. Market size and forecast, by component
9.3.7.1.2. Market size and forecast, by deployment model
9.3.7.1.3. Market size and forecast, by organization size
9.3.7.1.4. Market size and forecast, by business function
9.3.7.1.5. Market size and forecast, by industry vertical
9.3.7.2. GERMANY
9.3.7.2.1. Market size and forecast, by component
9.3.7.2.2. Market size and forecast, by deployment model
9.3.7.2.3. Market size and forecast, by organization size
9.3.7.2.4. Market size and forecast, by business function
9.3.7.2.5. Market size and forecast, by industry vertical
9.3.7.3. FRANCE
9.3.7.3.1. Market size and forecast, by component
9.3.7.3.2. Market size and forecast, by deployment model
9.3.7.3.3. Market size and forecast, by organization size
9.3.7.3.4. Market size and forecast, by business function
9.3.7.3.5. Market size and forecast, by industry vertical
9.3.7.4. ITALY
9.3.7.4.1. Market size and forecast, by component
9.3.7.4.2. Market size and forecast, by deployment model
9.3.7.4.3. Market size and forecast, by organization size
9.3.7.4.4. Market size and forecast, by business function
9.3.7.4.5. Market size and forecast, by industry vertical
9.3.7.5. SPAIN
9.3.7.5.1. Market size and forecast, by component
9.3.7.5.2. Market size and forecast, by deployment model
9.3.7.5.3. Market size and forecast, by organization size
9.3.7.5.4. Market size and forecast, by business function
9.3.7.5.5. Market size and forecast, by industry vertical
9.3.7.6. RUSSIA
9.3.7.6.1. Market size and forecast, by component
9.3.7.6.2. Market size and forecast, by deployment model
9.3.7.6.3. Market size and forecast, by organization size
9.3.7.6.4. Market size and forecast, by business function
9.3.7.6.5. Market size and forecast, by industry vertical
9.3.7.7. REST OF EUROPE
9.3.7.7.1. Market size and forecast, by component
9.3.7.7.2. Market size and forecast, by deployment model
9.3.7.7.3. Market size and forecast, by organization size
9.3.7.7.4. Market size and forecast, by business function
9.3.7.7.5. Market size and forecast, by industry vertical
9.4. Asia-Pacific
9.4.1. Key market trends, growth factors, and opportunities
9.4.2. Market size and forecast, by component
9.4.3. Market size and forecast, by deployment model
9.4.4. Market size and forecast, by organization size
9.4.5. Market size and forecast, by business function
9.4.6. Market size and forecast, by industry vertical
9.4.7. Market analysis by Country
9.4.7.1. CHINA
9.4.7.1.1. Market size and forecast, by component
9.4.7.1.2. Market size and forecast, by deployment model
9.4.7.1.3. Market size and forecast, by organization size
9.4.7.1.4. Market size and forecast, by business function
9.4.7.1.5. Market size and forecast, by industry vertical
9.4.7.2. INDIA
9.4.7.2.1. Market size and forecast, by component
9.4.7.2.2. Market size and forecast, by deployment model
9.4.7.2.3. Market size and forecast, by organization size
9.4.7.2.4. Market size and forecast, by business function
9.4.7.2.5. Market size and forecast, by industry vertical
9.4.7.3. JAPAN
9.4.7.3.1. Market size and forecast, by component
9.4.7.3.2. Market size and forecast, by deployment model
9.4.7.3.3. Market size and forecast, by organization size
9.4.7.3.4. Market size and forecast, by business function
9.4.7.3.5. Market size and forecast, by industry vertical
9.4.7.4. AUSTRALIA
9.4.7.4.1. Market size and forecast, by component
9.4.7.4.2. Market size and forecast, by deployment model
9.4.7.4.3. Market size and forecast, by organization size
9.4.7.4.4. Market size and forecast, by business function
9.4.7.4.5. Market size and forecast, by industry vertical
9.4.7.5. SINGAPORE
9.4.7.5.1. Market size and forecast, by component
9.4.7.5.2. Market size and forecast, by deployment model
9.4.7.5.3. Market size and forecast, by organization size
9.4.7.5.4. Market size and forecast, by business function
9.4.7.5.5. Market size and forecast, by industry vertical
9.4.7.6. SOUTH KOREA
9.4.7.6.1. Market size and forecast, by component
9.4.7.6.2. Market size and forecast, by deployment model
9.4.7.6.3. Market size and forecast, by organization size
9.4.7.6.4. Market size and forecast, by business function
9.4.7.6.5. Market size and forecast, by industry vertical
9.4.7.7. REST OF ASIA-PACIFIC
9.4.7.7.1. Market size and forecast, by component
9.4.7.7.2. Market size and forecast, by deployment model
9.4.7.7.3. Market size and forecast, by organization size
9.4.7.7.4. Market size and forecast, by business function
9.4.7.7.5. Market size and forecast, by industry vertical
9.5. LAMEA
9.5.1. Key market trends, growth factors and opportunities
9.5.2. Market size and forecast, by component
9.5.3. Market size and forecast, by deployment model
9.5.4. Market size and forecast, by organization size
9.5.5. Market size and forecast, by business function
9.5.6. Market size and forecast, by industry vertical
9.5.7. Market analysis by Country
9.5.7.1. LATIN AMERICA
9.5.7.1.1. Market size and forecast, by component
9.5.7.1.2. Market size and forecast, by deployment model
9.5.7.1.3. Market size and forecast, by organization size
9.5.7.1.4. Market size and forecast, by business function
9.5.7.1.5. Market size and forecast, by industry vertical
9.5.7.2. MIDDLE EAST
9.5.7.2.1. Market size and forecast, by component
9.5.7.2.2. Market size and forecast, by deployment model
9.5.7.2.3. Market size and forecast, by organization size
9.5.7.2.4. Market size and forecast, by business function
9.5.7.2.5. Market size and forecast, by industry vertical
9.5.7.3. AFRICA
9.5.7.3.1. Market size and forecast, by component
9.5.7.3.2. Market size and forecast, by deployment model
9.5.7.3.3. Market size and forecast, by organization size
9.5.7.3.4. Market size and forecast, by business function
9.5.7.3.5. Market size and forecast, by industry vertical
CHAPTER 10: COMPETITIVE LANDSCAPE
10.1. Market player positioning, 2018
10.1.1. Top winning strategies
10.2. Value Chain Analysis
10.3. Competitive dashboard
10.4. Key Developments
10.4.1. Partnership
10.4.2. Acquisition
10.4.3. Collaboration
10.4.4. Business Expansion
10.4.5. Product Development
10.4.6. Product Launch
CHAPTER 11: COMPANY PROFILE
11.1. Alteryx, Inc.
11.1.1. Company overview
11.1.2. Key Executives
11.1.3. Company snapshot
11.1.4. Product portfolio
11.1.5. R&D Expenditure
11.1.6. Business performance
11.1.7. Key strategic moves and developments
11.2. Hitachi Vantara Corporation
11.2.1. Company overview
11.2.2. Key Executives
11.2.3. Company snapshot
11.2.4. Operating business segments
11.2.5. Product portfolio
11.2.6. R&D Expenditure
11.2.7. Business performance
11.2.8. Key strategic moves and developments
11.3. International Business Machines Corporation
11.3.1. Company overview
11.3.2. Key Executives
11.3.3. Company snapshot
11.3.4. Operating business segments
11.3.5. Product portfolio
11.3.6. R&D Expenditure
11.3.7. Business performance
11.3.8. Key strategic moves and developments
11.4. Impetus Technologies, Inc.
11.4.1. Company overview
11.4.2. Key Executives
11.4.3. Company snapshot
11.4.4. Product portfolio
11.4.5. Key strategic moves and developments
11.5. Oracle Corporation
11.5.1. Company overview
11.5.2. Key Executives
11.5.3. Company snapshot
11.5.4. Operating business segments
11.5.5. Product portfolio
11.5.6. R&D Expenditure
11.5.7. Business performance
11.5.8. Key strategic moves and developments
11.6. Paxata, Inc.
11.6.1. Company overview
11.6.2. Key Executives
11.6.3. Company snapshot
11.6.4. Product portfolio
11.6.5. Key strategic moves and developments
11.7. SAS Institute Inc.
11.7.1. Company overview
11.7.2. Key Executives
11.7.3. Company snapshot
11.7.4. Product portfolio
11.7.5. Business performance
11.7.6. Key strategic moves and developments
11.8. TIBCO Software Inc.
11.8.1. Company overview
11.8.2. Key Executives
11.8.3. Company snapshot
11.8.4. Product portfolio
11.8.5. Key strategic moves and developments
11.9. Teradata Corporation
11.9.1. Company overview
11.9.2. Key Executives
11.9.3. Company snapshot
11.9.4. Product portfolio
11.9.5. Key strategic moves and developments
11.10. Trifacta
11.10.1. Company overview
11.10.2. Key Executives
11.10.3. Company snapshot
11.10.4. Product portfolio
11.10.5. Key strategic moves and developments
LIST OF TABLES
TABLE 01. GLOBAL DATA WRANGLING MARKET, BY COMPONENT, 2018-2026($MILLION)
TABLE 02. GLOBAL DATA WRANGLING MARKET REVENUE FOR SOLUTION, BY REGION 2018-2026 ($MILLION)
TABLE 03. GLOBAL DATA WRANGLING MARKET REVENUE FOR SERVICES, BY REGION, 2018-2026 ($MILLION)
TABLE 04. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY DEPLOYMENT MODE, 2018-2026 ($MILLION)
TABLE 05. GLOBAL DATA WRANGLING MARKET REVENUE FOR ON-PREMISE, BY REGION 2018–2026 ($MILLION)
TABLE 06. GLOBAL DATA WRANGLING MARKET REVENUE FOR CLOUD, BY REGION 2018–2026 ($MILLION)
TABLE 07. GLOBAL DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE , 2018-2026($MILLION)
TABLE 08. GLOBAL DATA WRANGLING MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION 2018-2026 ($MILLION)
TABLE 09. GLOBAL DATA WRANGLING MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION 2018-2026 ($MILLION)
TABLE 10. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY BUSINESS FUNCTION, 2018-2026 ($MILLION)
TABLE 11. GLOBAL DATA WRANGLING MARKET REVENUE FOR FINANCE, BY REGION 2018–2026 ($MILLION)
TABLE 12. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE FOR MARKETING & SALES, BY REGION 2018–2026 ($MILLION)
TABLE 13. GLOBAL DATA WRANGLING MARKET REVENUE FOR OPERATIONS, BY REGION 2018–2026 ($MILLION)
TABLE 14. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE FOR HUMAN RESOURCES, BY REGION 2018–2026 ($MILLION)
TABLE 01. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
TABLE 02. GLOBAL DATA WRANGLING MARKET REVENUE FOR BFSI, BY REGION 2018-2026 ($MILLION)
TABLE 03. GLOBAL DATA WRANGLING MARKET REVENUE FOR MANUFACTURING, BY REGION 2018-2026 ($MILLION)
TABLE 04. GLOBAL DATA WRANGLING MARKET REVENUE FOR HEALTHCARE, BY REGION 2018-2026 ($MILLION)
TABLE 05. GLOBAL DATA WRANGLING MARKET REVENUE FOR GOVERNMENT, BY REGION 2018-2026 ($MILLION)
TABLE 06. GLOBAL DATA WRANGLING MARKET REVENUE FOR RETAIL AND ECOMMERCE, BY REGION 2018-2026 ($MILLION)
TABLE 07. GLOBAL DATA WRANGLING MARKET REVENUE FOR IT & TELECOM, BY REGION 2018-2026 ($MILLION)
TABLE 08. GLOBAL DATA WRANGLING MARKET REVENUE FOR EDUCATION, BY REGION 2018-2026 ($MILLION)
TABLE 09. GLOBAL DATA WRANGLING MARKET REVENUE FOR OTHERS, BY REGION 2018-2026 ($MILLION)
TABLE 10. GLOBAL DATA WRANGLING MARKET REVENUE, BY REGION, 2018–2026 ($MILLION)
TABLE 11. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 12. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 13. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 14. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 15. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 16. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 17. U.S. DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 18. U.S. DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 19. U.S. DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 20. U.S. DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 21. U.S. DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 22. CANADA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 23. CANADA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 24. CANADA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 25. CANADA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 26. CANADA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 27. EUROPE DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 28. EUROPE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 29. EUROPE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 30. EUROPE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 31. EUROPE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 32. EUROPE DATA WRANGLING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 33. UK DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 34. UK DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 35. UK DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 36. UK DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 37. UK DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 38. GERMANY DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 39. GERMANY DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 40. GERMANY DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 41. GERMANY DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 42. GERMANY DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 43. FRANCE DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 44. FRANCE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 45. FRANCE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 46. FRANCE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 47. FRANCE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 48. ITALY DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 49. ITALY DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 50. ITALY DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 51. ITALY DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 52. ITALY DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 53. SPAIN DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 54. SPAIN DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 55. SPAIN DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 56. SPAIN DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 57. SPAIN DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 58. RUSSIA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 59. RUSSIA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 60. RUSSIA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 61. RUSSIA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 62. RUSSIA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 63. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 64. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 65. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 66. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 67. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 68. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 69. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 70. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 71. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 72. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 73. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 74. CHINA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 75. CHINA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 76. CHINA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 77. CHINA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 78. CHINA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 79. INDIA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 80. INDIA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 81. INDIA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 82. INDIA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 83. INDIA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 84. JAPAN DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 85. JAPAN DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 86. JAPAN DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 87. JAPAN DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 88. JAPAN DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 89. AUSTRALIA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 90. AUSTRALIA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 91. AUSTRALIA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 92. AUSTRALIA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 93. AUSTRALIA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 94. SINGAPORE DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 95. SINGAPORE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 96. SINGAPORE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 97. SINGAPORE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 98. SINGAPORE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 99. SOUTH KOREA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 100. SOUTH KOREA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 101. SOUTH KOREA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 102. SOUTH KOREA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 103. SOUTH KOREA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 104. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 105. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 106. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 107. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 108. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 109. LAMEA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 110. LAMEA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 111. LAMEA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 112. LAMEA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 113. LAMEA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 114. LAMEA DATA WRANGLING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 115. LATIN AMERICA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 116. LATIN AMERICA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 117. LATIN AMERICA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 118. LATIN AMERICA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 119. LATIN AMERICA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 120. MIDDLE EAST DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 121. MIDDLE EAST DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 122. MIDDLE EAST DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 123. MIDDLE EAST DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 124. MIDDLE EAST DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 125. AFRICA DATA WRANGLING MARKET REVENUE, BY COMPONENT 2018–2026 ($MILLION)
TABLE 126. AFRICA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 2018–2026 ($MILLION)
TABLE 127. AFRICA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 128. AFRICA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 2018–2026 ($MILLION)
TABLE 129. AFRICA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 130. PARTNERSHIP (2016-2019)
TABLE 131. ACQUISITION (2016-2019)
TABLE 132. COLLABORATION (2016-2019)
TABLE 133. BUSINESS EXPANSION (2016-2019)
TABLE 134. PRODUCT DEVELOPMENT (2016-2019)
TABLE 135. PRODUCT LAUNCH (2016-2019)
TABLE 136. ALTERYX, INC.: KEY EXECUTIVES
TABLE 137. ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 138. ALTERYX, INC.: PRODUCT PORTFOLIO
TABLE 139. HITACHI VANTARA CORPORATION: KEY EXECUTIVES
TABLE 140. HITACHI VANTARA CORPORATION: COMPANY SNAPSHOT
TABLE 141. HITACHI LTD.: OPERATING SEGMENTS
TABLE 142. HITACHI VANTARA CORPORATION: PRODUCT PORTFOLIO
TABLE 143. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 144. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 145. INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 146. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 147. IMPETUS TECHNOLOGIES, INC.: KEY EXECUTIVES
TABLE 148. IMPETUS TECHNOLOGIES, INC.: COMPANY SNAPSHOT
TABLE 149. IMPETUS TECHNOLOGIES, INC.: PRODUCT PORTFOLIO
TABLE 150. ORACLE CORPORATION: KEY EXECUTIVES
TABLE 151. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 152. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 153. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 154. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 155. PAXATA, INC.: KEY EXECUTIVES
TABLE 156. PAXATA, INC.: COMPANY SNAPSHOT
TABLE 157. PAXATA, INC.: PRODUCT PORTFOLIO
TABLE 158. SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 159. SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 160. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 161. TIBCO SOFTWARE INC.: KEY EXECUTIVES
TABLE 162. TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
TABLE 163. TIBCO SOFTWARE INC.: PRODUCT PORTFOLIO
TABLE 164. TERADATA CORPORATION: COMPANY SNAPSHOT
TABLE 165. TERADATA CORPORATION: PRODUCT PORTFOLIO
TABLE 166. TRIFACTA: KEY EXECUTIVES
TABLE 167. TRIFACTA: COMPANY SNAPSHOT
TABLE 168. TRIFACTA: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01. KEY MARKET SEGMENTS
FIGURE 02. GLOBAL DATA WRANGLING MARKET, 2018–2026
FIGURE 03. GLOBAL DATA WRANGLING MARKET, BY REGION, 2018–2026
FIGURE 04. DATA WRANGLING MARKET: TOP IMPACTING FACTOR
FIGURE 05. TOP INVESTMENT POCKETS
FIGURE 06. LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 07. LOW-TO-HIGH BARGAINING POWER OF BUYER
FIGURE 08. MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 09. LOW-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10. LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 11. GLOBAL DATA WRANGLING MARKET REVENUE, BY COMPONENT, 2018–2026($MILLION)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING MARKET FOR SOLUTION, BY COUNTRY, 2018 & 2026(%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING MARKET FOR SERVICES, BY COUNTRY, 2020 & 2026 (%)
FIGURE 14. GLOBAL DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODE, 2018-2026 ($MILLION)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING MARKET FOR ON-PREMISE BY COUNTRY, 2018 & 2026(%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING SOFTWARE MARKET FOR CLOUD, BY COUNTRY, 2018 & 2026(%)
FIGURE 17. GLOBAL DATA WRANGLING MARKET, BY ORGANIZATION SIZE, 2018-2026
FIGURE 18. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2018 & 2026(%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR SMALL & MEDIUM ENTERPRISES, BY COUNTRY, 2018 & 2026(%)
FIGURE 20. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
FIGURE 21. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR FINANCE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING SOFTWARE MARKET FOR MARKETING & SALES BY COUNTRY, 2018 & 2026(%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR OPERATIONS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF GLOBAL DATA WRANGLING SOFTWARE MARKET FOR HUMAN RESOURCES, BY COUNTRY, 2018 & 2026(%)
FIGURE 25. GLOBAL DATA WRANGLING MARKET, BY INDUSTRY VERTICAL, 2018-2026
FIGURE 26. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR BFSI, BY COUNTRY, 2018 & 2026(%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR MANUFACTURING, BY COUNTRY, 2018 & 2026(%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR HEALTHCARE, BY COUNTRY, 2018 & 2026(%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR GOVERNMENT, BY COUNTRY, 2018 & 2026(%)
FIGURE 30. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR RETAIL AND ECOMMERCE, BY COUNTRY, 2018 & 2026(%)
FIGURE 31. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR IT & TELECOM, BY COUNTRY, 2018 & 2026(%)
FIGURE 32. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR EDUCATION, BY COUNTRY, 2018 & 2026(%)
FIGURE 33. COMPARATIVE SHARE ANALYSIS GLOBAL DATA WRANGLING MARKET FOR OTHERS, BY COUNTRY, 2018 & 2026(%)
FIGURE 34. U.S. DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 35. CANADA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 36. UK DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 37. GERMANY DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 38. FRANCE DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 39. ITALY DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 40. SPAIN DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 41. RUSSIA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 42. CANADA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 43. CHINA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 44. INDIA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 45. JAPAN DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 46. AUSTRALIA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 47. SINGAPORE DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 48. SOUTH KOREA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 49. REST OF ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 50. LATIN AMERICA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 51. MIDDLE EAST DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 52. AFRICA DATA WRANGLING MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 53. KEY PLAYERS POSITIONING, 2018
FIGURE 54. TOP WINNING STRATEGIES, BY YEAR, 2019-2026
FIGURE 55. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
FIGURE 56. TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
FIGURE 57. VALUE CHAIN
FIGURE 58. COMPETITIVE DASHBOARD
FIGURE 59. COMPETITIVE DASHBOARD
FIGURE 60. COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 61. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 62. ALTERYX, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 63. ALTERYX, INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 64. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 65. HITACHI, LTD.: REVENUE, 2016–2018 ($MILLION)
FIGURE 66. HITACHI, LTD.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 67. HITACHI, LTD.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 68. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 69. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 70. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 71. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 72. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 73. ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 74. ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 75. ORACLE CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 76. SAS INSTITUTE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 77. TERADATA CORPORATION: KEY EXECUTIVES
The adoption of data wrangling is increasing owing to rise in demand for structured data from organizations and need for cleaning, enriching, and structuring raw data into meaningful format. In addition, data wrangling provides various advantages such as providing advance security to confidential information and increasing the safety of data from various cyber-attacks. Furthermore, increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling, drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional ETL tools to advance automated tools hampers the growth of the market. Furthermore, increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future
The data wrangling market is consolidated with the presence of key vendors such as IBM Corporation. North America and Europe are the prime users of these systems. However, Asia-Pacific is expected to experience significant growth in the near future, owing to increase in adoption of IoT devices and rapid adoption of smart cities in the emerging countries of Asia-Pacific. Some of the key players profiled in the report include IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
A. The size of Data wrangling market by 2026 will be $5581.18 million.
A. The size of Data wrangling market in 2018 was $1458.69 million.
A. To get more insights and Competitive landscape.
A. The CAGR of Data wrangling Market by 2026 will be 18.4%
A. The revenue generated by the Data wrangling market by the end of 2026 will be $5581.18 million
A. The top ten market players are selected based on two key attributes - competitive strength and market positioning
A. Increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling drives the growth of the market
A. North America will provide more business opportunities during forecast period
A. Increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future
A. The report analyses the profiles of key players operating in the market IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc.
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