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Data Wrangling Market by Component, Deployment Model, Organization Size, Business Functions, Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026

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    Report

  • 270 Pages
  • February 2020
  • Region: Global
  • Allied Market Research
  • ID: 5019954
Description Jump to:

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 reduces the time spent on collecting and analyzing data. Furthermore, the increase in digitalization across various industry verticals has increased 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 the 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, restraints, 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.

Key market segments

By Component


  • Solution
  • Service

By Deployment Mode


  • On-Premise
  • Cloud

By Organization Size


  • Large Enterprises
  • Small & Medium Enterprises

By Business Function


  • Finance
  • Marketing & Sales
  • Operations
  • Human Resources

By Industry Vertical


  • BFSI
  • Government & Public Sector
  • Healthcare & Life Science
  • Retail & E-commerce
  • Media & Entertainment
  • IT & Telecom
  • Manufacturing
  • Others

By Region


  • 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

KEY MARKET PLAYERS


  • IBM Corporation
  • Oracle Corporation
  • SAS institute
  • Tibco Software
  • Hitachi Vantara
  • Teradata Corporation
  • Alteryx
  • Impetus
  • Trifacta Software Inc.
  • Paxata Inc

Table of Contents

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

Executive Summary

According to the report titled, 'Data Wrangling Market by Component, Deployment Model, Organization Size, Business Function, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026,' the global data wrangling market was valued at $1.45billion in 2018, and is projected to reach $5.58 billion by 2026, growing at a CAGR of 18.40% from 2019 to 2026.

Data wrangling is the process of converting raw data into another valuable format with the purpose of making it more appropriate for advance tasks such as machine learning and data analytics. The primary goal of data wrangling is to provide help to the organizations to reduce the time spent on collecting and arranging data. In addition, data wrangling helps data scientists to focus mainly on analysis rather than focusing on wrangling of data.

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 operations segment dominated the data wrangling market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to rise in its use to align large amount of data and to transform the data for analysis in very less time. Furthermore, human resources segment is expected to grow at a significant CAGR during the forecast period, owing to the adoption by enterprises for extracting data from multiple human resource information system systems (HRIS) and retain precise enterprise wide reporting.

The BFSI sector dominated the data wrangling market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to rise in number of financial institutions are using graph database solutions to solve a variety of data problems. Furthermore, the retail & e-commerce sector is expected to grow at a significant CAGR during the forecast period, owing to the major shift toward digitization in the retail industry.

By region, the global data wrangling market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the growth of the market in this region includes growing adoption of data wrangling solution by businesses to effectively prepare data for getting accurate analytics for informed decision making. However, Asia-Pacific is expected to witness the highest growth rate during the forecast period, owing to adoption of data wrangling solution by large enterprises in the emerging countries such as China and India, for refining large volumes of data.
According to Pramod Borasi, Research Analyst, ICT, “Education sector is expected to attain significant growth in the upcoming years, owing to its adoption in schools for providing a conceptual framework of the school subjects and to manage the students record.”

KEY FINDINGS OF THE STUDY
  • By component, the solution segment led the data wrangling market size in terms of revenue in 2018.
  • By deployment model, the cloud segment accounted for the highest data wrangling market share in 2018.
  • By industry vertical, the BFSIsegmented accounted for the highest data wrangling market share in 2018.
  • By region, North America generated the highest revenue in 2018.

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.

Companies Mentioned

  • IBM Corporation
  • Oracle Corporation
  • SAS institute
  • Tibco Software
  • Hitachi Vantara
  • Teradata Corporation
  • Alteryx
  • Impetus
  • Trifacta Software Inc.
  • Paxata Inc.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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