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Data Wrangling Market by Top Key Players - IBM, Oracle , SAS Institute , Trifacta , Datawatch , Talend , Alteryx , Dataiku , Tibco Software

01-03-2019 06:48 AM CET | IT, New Media & Software

Press release from: Big Market Research

Data Wrangling

Data Wrangling

Global Data Wrangling Market valued approximately USD 930 million in 2016 is anticipated to grow with a healthy growth rate of more than 20.04% over the forecast period 2017-2025. Some of the factors that are fueling the market growth are; increasing data volume across industry, emergence of advanced analytics algorithms and demand to gain substantial insights and proliferation of data.

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The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players.

The detailed segments and sub-segment of the market are explained below:

By Business Function:
• Finance
• Marketing & Sales
• Operations
• Human Resources
• Legal

By Component:
• Tools
• Services

By Industry Vertical:
• Banking, Financial Services, & Insurance
• Government & Public Sector
• Healthcare & Life Sciences
• Retail & E-Commerce
• Travel & Hospitality
• Automotive & Transportation
• Energy & Utilities
• Telecommunication & IT
• Manufacturing
• Others

Top Key Players: IBM, Oracle , SAS Institute , Trifacta , Datawatch , Talend , Alteryx , Dataiku , Tibco Software , Informatica

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Table of Content
Chapter 1. Global Data Wrangling Market Definition and Scope
1.1. Research Objective
1.2. Market Definition
1.3. Scope of The Study
1.4. Years Considered for The Study
1.5. Currency Conversion Rates
1.6. Report Limitation
Chapter 2. Research Methodology
2.1. Research Process
2.1.1. Data Mining
2.1.2. Analysis
2.1.3. Market Estimation
2.1.4. Validation
2.1.5. Publishing
2.2. Research Assumption
Chapter 3. Executive Summary
3.1. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
3.2. Key Trends
Chapter 4. Global Data Wrangling Market Dynamics
4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porters 5 Force Model
4.2.2. PEST Analysis
4.2.3. Value Chain Analysis
4.3. Analyst Recommendation & Conclusion

Chapter 5. Global Data Wrangling Market, By Business Function
5.1. Market Snapshot
5.2. Market Performance - Potential Model
5.3. Global Data Wrangling Market, Sub Segment Analysis
5.3.1. Finance
5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.2. Marketing & Sales
5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.3. Operations
5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.4. Human Resources
5.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.5. Legal
5.3.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

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