Data Wrangling Market by Component (Solution and Services), Deployment Model (On-Premise and Cloud), Organization Size (Large Enterprises and Small & Medium Enterprises), Business Functions (Finance, Marketing & Sales, Operations and Human Resources), Industry Vertical (BFSI, Government & Public Sector, Healthcare & Life Science, Retail & E-Commerce, Media & Entertainment, Energy & Utilities, IT & Telecom, Manufacturing and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026
Data wrangling is the process of cleaning, enriching and structuring raw data into meaningful insights for increasing the decision-making capability of an organization. Data wrangling provides precise and actionable data to business analyst and reduce the time spent on collecting and analyzing data. Furthermore, increase in digitalization across various industry verticals has increase the volume of data owing to which the adoption of data wrangling solution has increased. In addition, data wrangling helps organizations to correlate with the data which is composed and turn it into an expressive level and find hidden perceptions that can be used through decision making procedures.
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 extract, transform and load (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 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.
Key benefits for stakeholders
By Component
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 extract, transform and load (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 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.
Key benefits for stakeholders
- The study provides an in-depth analysis of the global data wrangling market along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global data wrangling market from 2019 to 2026 is provided to determine the market potential.
By Component
- Solution
- Service
- On-Premise
- Cloud
- Large Enterprises
- Small & Medium Enterprises
- Finance
- Marketing & Sales
- Operations
- Human Resources
- BFSI
- Government & Public Sector
- Healthcare & Life Science
- Retail & E-commerce
- Media & Entertainment
- IT & Telecom
- Manufacturing
- Others
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- IBM Corporation
- Oracle Corporation
- SAS institute
- Tibco Software
- Hitachi Vantara
- Teradata Corporation
- Alteryx
- Impetus
- Trifacta Software Inc.
- Paxata Inc
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
3.3.2. Case Study
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
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
3.3.2. Case Study
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 ($MILLION)
TABLE 118. LATIN AMER
TABLE 01. GLOBAL DATA WRANGLING MARKET, BY COMPONENT, 2018-2026($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 AMER
