HOME Top Market Reports Data Wrangling Market by Business Function (Marketing and Sales, Finance, Operations, HR, and Legal), Component (Tools and Services), Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

Data Wrangling Market by Business Function (Marketing and Sales, Finance, Operations, HR, and Legal), Component (Tools and Services), Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

By: marketsandmarkets.com
Publishing Date: May 2018
Report Code: TC 6253

 

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The data wrangling market size was valued at USD 1.09 Billion in 2017 and is expected to reach USD 3.18 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.7% during the forecast period. The base year considered for this report is 2017 and the forecast period is 2018–2023.

Objectives of the Study

The main objective of this report is to define, describe, and forecast the global data wrangling market by business functions, components, deployment models, organization sizes, verticals, and regions. The report analyzes the major factors influencing the market growth, such as drivers, restraints, opportunities, and challenges. It aims to strategically analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. It contains key vendor profiles and comprehensively analyzes their core competencies. Moreover, the report tracks and analyzes competitive developments, including partnerships, collaborations, acquisitions, new product developments, and R&D activities in the market.

The research methodology used to estimate and forecast the data wrangling market starts with data collection through secondary research on the key vendors. The sources referred for secondary research include journals and magazines, such as D&B Hoovers, Bloomberg, EconoTimes, Factiva, and OneSource. The vendor offerings were taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global market from the revenue of the key players in the market. Post-estimation of overall market size, the total market was divided into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with the key personnel, such as Chief Marketing Officers (CMOs), Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The breakdown of primary profiles is depicted in the below figure:

Data Wrangling Market

To know about the assumptions considered for the study, download the pdf brochure

The key vendors of the data wrangling market are Trifacta (US), Datawatch (US), Dataiku (France), IBM (US), SAS Institute (US), Oracle (US), Talend (US), Alteryx (US), TIBCO (US), Paxata (US), Informatica (US), Hitachi Vantara (US), Teradata (US), Datameer (US), Cooladata (US), Unifi (US), Rapid Insight (US), Infogix, (US), Zaloni (US), Impetus (US), Ideata Analytics (India), Onedot (Switzerland), IRI (US), Brillio, and TMMData(US).

Key Target Audience

  • Investors and venture capitalists
  • Value-Added Resellers (VARs)
  • Professional service providers
  • Software and application developers
  • Government agencies
  • Small and Medium-sized Enterprises (SMEs) and large enterprises
  • Third-party providers
  • Consultants/consultancies/advisory firms

“Study answers several questions for the stakeholders, primarily which market segments to focus in the next 2–5 years for prioritizing the efforts and investments.”

Scope of the Report

The research report categorizes the data wrangling market to forecast the revenues and analyze the trends in each of the following subsegments:

By Business Function:

  • Marketing and Sales
  • Finance
  • Operations
  • HR
  • Legal

By Component:

  • Tools
  • Services

By Deployment Model:

  • On-premises
  • Cloud

By Organization Size:

  • Large enterprises
  • Small and Medium-sized Enterprises (SMEs)

By Vertical:

  • BFSI
  • Telecom and IT
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Travel and Hospitality
  • Government
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Others (Media and Entertainment, Education and Research, and Real Estate)

By Region:

  • North America
  • Europe
  • MEA
  • APAC
  • Latin America

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific requirements. The following customization options are available for the report:

Product Analysis

Product matrix gives a detailed comparison of product portfolio for each company.

Geographic Analysis

  • Further breakdown of the North American data wrangling market
  • Further breakdown of the European market
  • Further breakdown of the APAC market
  • Further breakdown of the MEA market
  • Further breakdown of the Latin American data wrangling market

Company Information

  • Detailed profiling and analysis of additional market players

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 21)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 29)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Opportunities in the Data Wrangling Market
    4.2 Market By Application and Region
    4.3 Market Share, By Region
    4.4 Life Cycle Analysis, By Region, 2018

5 Market Overview (Page No. - 38)
    5.1 Introduction
           5.1.1 Drivers
                    5.1.1.1 Increasing Volume and Velocity of Data
                    5.1.1.2 Advancements in AI and Ml Technologies
           5.1.2 Restraints
                    5.1.2.1 Reluctance to Shift From Traditional ETL Tools to Advanced Automated Tools
           5.1.3 Opportunities
                    5.1.3.1 Increasing Regulatory Pressure
                    5.1.3.2 Growth of Edge Computing
           5.1.4 Challenges
                    5.1.4.1 Lack of Awareness of Data Wrangling Tools Among SMEs
                    5.1.4.2 Concerns Regarding Data Quality
    5.2 Data Types
           5.2.1 Customer Data
           5.2.2 Product Data
           5.2.3 Finance Data
           5.2.4 Compliance Data
           5.2.5 Supplier Data
    5.3 Data Wrangling: Use Cases
           5.3.1 Use Case #1: Unification of Data
           5.3.2 Use Case #2: Data Wrangling and Analytics to Obtain Customer Insights
           5.3.3 Use Case #3: Data Integration Saved Fortune 50 Telecom Giant Millions in Call Center Interactions
           5.3.4 Use Case #4: Onedot Made IT Simple for Zageno to Integrate Unstructured Data and Deliver the Best Possible Search Results

6 Data Wrangling Market, By Business Function (Page No. - 46)
    6.1 Introduction
    6.2 Finance
    6.3 Marketing and Sales
    6.4 Operations
    6.5 Human Resources
    6.6 Legal

7 Data Wrangling Market, By Component (Page No. - 52)
    7.1 Introduction
    7.2 Tools
    7.3 Services
           7.3.1 Managed Services
           7.3.2 Professional Services
                    7.3.2.1 Consulting Services
                    7.3.2.2 Support and Maintenance Services

8 Data Wrangling Market, By Deployment Model (Page No. - 60)
    8.1 Introduction
    8.2 On-Premises
    8.3 Cloud

9 Data Wrangling Market, By Organization Size (Page No. - 64)
    9.1 Introduction
    9.2 Large Enterprises
    9.3 Small and Medium-Sized Enterprises

10 Data Wrangling Market, By Industry Vertical (Page No. - 68)
     10.1 Introduction
     10.2 Banking, Financial Services, and Insurance
     10.3 Government and Public Sector
     10.4 Healthcare and Life Sciences
     10.5 Retail and Ecommerce
     10.6 Travel and Hospitality
     10.7 Automotive and Transportation
     10.8 Energy and Utilities
     10.9 Telecommunication and IT
     10.10 Manufacturing
     10.11 Others

11 Data Wrangling Market, By Region (Page No. - 78)
     11.1 Introduction
     11.2 North America
             11.2.1 By Country
                        11.2.1.1 United States
                        11.2.1.2 Canada
     11.3 Europe
             11.3.1 By Country
                        11.3.1.1 United Kingdom
                        11.3.1.2 Germany
                        11.3.1.3 France
                        11.3.1.4 Rest of Europe
     11.4 Asia Pacific
             11.4.1 By Country
                        11.4.1.1 China
                        11.4.1.2 Australia and New Zealand
                        11.4.1.3 Singapore
                        11.4.1.4 Japan
                        11.4.1.5 Rest of APAC
     11.5 Middle East and Africa
             11.5.1 By Country
                        11.5.1.1 United Arab Emirates (UAE)
                        11.5.1.2 Kingdom of Saudi Arabia
                        11.5.1.3 Qatar
                        11.5.1.4 South Africa
                        11.5.1.5 Rest of Mea
     11.6 Latin America
             11.6.1 By Country
                        11.6.1.1 Brazil
                        11.6.1.2 Mexico
                        11.6.1.3 Rest of Latin America

12 Competitive Landscape (Page No. - 105)
     12.1 Overview
     12.2 Prominent Players in the Data Wrangling Market
     12.3 Competitive Scenario
             12.3.1 New Product Launches and Product Upgradations
             12.3.2 Partnerships, Collaborations, and Agreements
             12.3.3 Business Expansions
             12.3.4 Acquisitions

13 Company Profiles (Page No. - 110)
(Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View)*
     13.1 IBM
     13.2 Oracle
     13.3 SAS Institute
     13.4 Trifacta
     13.5 Datawatch
     13.6 Talend
     13.7 Alteryx
     13.8 Dataiku
     13.9 TIBCO Software
     13.10 Paxata
     13.11 Informatica
     13.12 Hitachi Vantara
     13.13 Teradata
     13.14 IRI, the Cosort Company
     13.15 Brillio
     13.16 Onedot
     13.17 TMMData
     13.18 Datameer
     13.19 Cooladata
     13.20 Unifi Software
     13.21 Rapid Insight
     13.22 Infogix
     13.23 Zaloni
     13.24 Impetus
     13.25 Ideata Analytics

*Details on Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 155)
     14.1 Key Insights of Industry Experts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Introducing RT: Real-Time Market Intelligence
     14.5 Available Customization
     14.6 Related Reports
     14.7 Author Details


List of Tables (78 Tables)

Table 1 Data Wrangling Market Size, 2016–2023 (USD Million)
Table 2 Market Size By Business Function, 2016–2023 (USD Million)
Table 3 Finance: Market Size By Region, 2016–2023 (USD Million)
Table 4 Marketing and Sales: Market Size By Region, 2016–2023 (USD Million)
Table 5 Operations: Market Size By Region, 2016–2023 (USD Million)
Table 6 Human Resources: Market Size By Region, 2016–2023 (USD Million)
Table 7 Legal: Market Size By Region, 2016–2023 (USD Million)
Table 8 Data Wrangling Market Size, By Component, 2016–2023 (USD Million)
Table 9 Tools: Market Size By Region, 2016–2023 (USD Million)
Table 10 Services: Market Size By Region, 2016–2023 (USD Million)
Table 11 Services: Market Size By Type, 2016–2023 (USD Million)
Table 12 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 13 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 14 Professional Services Market Size, By Type, 2016–2023 (USD Million)
Table 15 Consulting Services Market Size, By Region, 2016–2023 (USD Million)
Table 16 Support and Maintenance Services Market Size, By Region, 2016–2023 (USD Million)
Table 17 Data Wrangling Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 18 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 19 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 20 Data Wrangling Market Size, By Organization Size, 2016–2023 (USD Million)
Table 21 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 22 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 23 Data Wrangling Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 24 Banking, Financial Services, and Insurance: Market Size By Region, 2016–2023 (USD Million)
Table 25 Government and Public Sector: Market Size By Region, 2016–2023 (USD Million)
Table 26 Healthcare and Life Sciences: Market Size By Region, 2016–2023 (USD Million)
Table 27 Retail and Ecommerce: Market Size By Region, 2016–2023 (USD Million)
Table 28 Travel and Hospitality: Market Size By Region, 2016–2023 (USD Million)
Table 29 Automotive and Transportation: Market Size By Region, 2016–2023 (USD Million)
Table 30 Energy and Utilities: Market Size By Region, 2016–2023 (USD Million)
Table 31 Telecommunication and IT: Market Size By Region, 2016–2023 (USD Million)
Table 32 Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 33 Others: Market Size By Region, 2016–2023 (USD Million)
Table 34 Data Wrangling Market Size By Region, 2016–2023 (USD Million)
Table 35 North America: Market Size By Component, 2016–2023 (USD Million)
Table 36 North America: Market Size By Service, 2016–2023 (USD Million)
Table 37 North America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 38 North America: Market Size By Business Function, 2016–2023 (USD Million)
Table 39 North America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 40 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 41 North America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 42 North America: Market Size By Country, 2016–2023 (USD Million)
Table 43 Europe: Data Wrangling Market Size, By Component, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 45 Europe: Market Size By Professional Service, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Business Function, 2016–2023 (USD Million)
Table 47 Europe: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 48 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 49 Europe: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 50 Europe: Market Size By Country, 2016–2023 (USD Million)
Table 51 Asia Pacific: Data Wrangling Market Size, By Component, 2016–2023 (USD Million)
Table 52 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 53 Asia Pacific: Market Size By Professional Service, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size By Business Function, 2016–2023 (USD Million)
Table 55 Asia Pacific: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 56 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 57 Asia Pacific: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 58 Asia Pacific: Market Size By Country, 2016–2023 (USD Million)
Table 59 Middle East and Africa: Data Wrangling Market Size, By Component, 2016–2023 (USD Million)
Table 60 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Market Size By Professional Service, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Market Size By Business Function, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 64 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 65 Middle East and Africa: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 66 Middle East and Africa: Market Size By Country, 2016–2023 (USD Million)
Table 67 Latin America: Data Wrangling Market Size, By Component, 2016–2023 (USD Million)
Table 68 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 69 Latin America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 70 Latin America: Market Size By Business Function, 2016–2023 (USD Million)
Table 71 Latin America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 72 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 73 Latin America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 74 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 75 New Product Launches and Product Upgradations, 2014–2018
Table 76 Partnerships, Collaborations, and Agreements, 2014–2018
Table 77 Business Expansions, 2014–2018
Table 78 Acquisitions, 201–2018


List of Figures (43 Figures)

Figure 1 Data Wrangling Market Segmentation
Figure 2 Market By Region and Country
Figure 3 Market Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Data Wrangling Market: Assumptions
Figure 9 Global Data Wrangling Market is Expected to Witness Significant Growth During the Forecast Period
Figure 10 Market Snapshot By Component (2018 vs 2023)
Figure 11 Market Snapshot By Service (2018 vs 2023)
Figure 12 Market Snapshot By Business Function (2018 vs 2023)
Figure 13 Market Snapshot By Deployment Model (2018 vs 2023)
Figure 14 Market Snapshot By Industry Vertical (2018 vs 2023)
Figure 15 Market Growth is Driven By Rapid Growth in Data Volumes and Stringent Regulatory and Compliance Mandates
Figure 16 Finance, and North America are Estimated to Have the Largest Market Shares in 2018
Figure 17 North America is Estimated to Have the Largest Market Share in 2018
Figure 18 Asia Pacific is Expected to Witness Significant Growth During the Forecast Period
Figure 19 Data Wrangling Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Operations Business Function is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 21 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 22 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 23 Consulting Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 24 Cloud Deployment Model is Expected to Register A Higher CAGR During the Forecast Period
Figure 25 Small and Medium-Sized Enterprises Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Healthcare and Life Sciences Industry Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 27 Asia Pacific is Expected to Have the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific is Expected to Register the Highest Growth Rate in the Data Wrangling Market During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Asia Pacific: Market Snapshot
Figure 31 Key Developments By the Leading Players in the Data Wrangling Market, 2014–2018
Figure 32 IBM: Company Snapshot
Figure 33 IBM: SWOT Analysis
Figure 34 Oracle: Company Snapshot
Figure 35 Oracle: SWOT Analysis
Figure 36 SAS Institute: Company Snapshot
Figure 37 SAS Institute: SWOT Analysis
Figure 38 Trifacta: SWOT Analysis
Figure 39 Datawatch: Company Snapshot
Figure 40 Datawatch: SWOT Analysis
Figure 41 Talend: Company Snapshot
Figure 42 Alteryx: Company Snapshot
Figure 43 Teradata: Company Snapshot

The global data wrangling market is expected to grow from USD 1.29 Billion in 2018 to USD 3.18 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.7% during the forecast period. A rapid increase of data volumes across industry verticals is triggering organizations to incorporate advanced analytics algorithms in their systems to gain substantial insights that help them to stay competitive. The proliferation of data across verticals is one of the main growth for the market.

The report provides detailed insights into the global data wrangling market based on business functions, components, deployment models, organization sizes, verticals, and regions. Among the component, data wrangling tools are expected to have the largest market size during the forecast period. With the proliferation of data, the data wrangling tools are expected to be adopted at a rapid pace, as they are a precursor to the analytics workflows. A typical data wrangling tool encompasses functions, such as reformatting, de-duping, filtering, and cleaning data, so that proper analysis could be done. Moreover, data wrangling tools offer the self-service data preparation model that helps organizations to clean the data sets by themselves without involving data scientists. This has effectively empowered the executives to gain business insights without the intervention of IT teams.

The on-demand deployment model is expected to have a high adoption rate as compared to the on-premises deployment model. By using cloud-based deployment, organizations can avoid a large amount of cost pertaining to hardware, software, data, maintenance cost, and staff. The BFSI vertical is expected to hold the largest market size during the forecast period. Data wrangling tool leverages various capabilities specifically for banking and financial institutes, such as data discovery from numerus sources and formats, integration with existing tools, fraud detection, risk management, and higher operational productivity.

Data Wrangling Market

The report covers all the major aspects of the data wrangling market and provides an in-depth analysis in North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The market in North America is expected to hold the largest market share. The APAC region is projected to provide significant opportunities to vendors in the market and is expected to grow at the highest CAGR during the forecast period. APAC, being a manufacturing hub, is expected to adopt the data wrangling substantially, to remain cost efficient and export high-quality goods to other countries.

Reluctance to shift from traditional ETL tools to advanced automated tools is the major restraining factor for the growth of the market. Lack of awareness of data wrangling tools among SMEs, and concerns regarding data quality are the major challenges for the data wrangling market growth.

Most of the vendors in the data wrangling market have adopted various growth strategies, such as acquisitions, agreements, collaborations and partnerships, new product launches, product upgradations, and expansions, to expand their client base and enhance the customer experience. For instance, in March 2017, Trifacta collaborated with Google to create Google Cloud Dataprep. This solution would enable Google to help enterprises shift their data to the cloud, where in Trifacta would help them resolving their data wrangling challenges.

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