Global Data Wrangling Market to reach USD 5.60 billion by 2026

Global Data Wrangling Market Size Study, by Business Function (Finance, Marketing & Sales, Operation, Human Resources, Legal) by Component (Tools, Services) by Industry Vertical (Retail & E-Commerce, Travel & Hospitability, Energy & Utilities, Telecommunication & IT, Manufacturing, Others) by Regional Forecasts 2019-2026
Product Code:  IACTBAC_87538162
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Key Trends
1.3.	Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
1.3.1.	Data Wrangling Market, by Business Function, 2016-2026 (USD Billion)
1.3.2.	Data Wrangling Market, by Component, 2016-2026 (USD Billion)
1.3.3.	Data Wrangling Market, by Industry Vertical, 2016-2026 (USD Billion)
1.3.4.	Data Wrangling Market, by Region, 2016-2026 (USD Billion)
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Data Wrangling Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Industry Evolution
2.2.2.	Scope of the Study
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Data Wrangling Market Dynamics	
3.1.	See Saw Analysis
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Data Wrangling Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Buyers
4.1.2.	Bargaining Power of Suppliers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model
4.2.	PEST Analysis
4.2.1.	Political Scenario
4.2.2.	Economic Scenario
4.2.3.	Social Scenario
4.2.4.	Technological Scenario
4.3.	Key Buying Criteria (On Demand)
4.4.	Regulatory Framework (On Demand)
4.5.	Investment Vs Adoption Scenario (On Demand)
4.6.	Analyst Recommendation & Conclusion
Chapter 5.	Global Data Wrangling Market, By Business Function
5.1.	Market Snapshot 
5.1.	Market Performance - Potential Model
5.2.	Global Data Wrangling Market, Sub Segment Analysis
5.2.1.	Finance 
5.2.1.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
5.2.1.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
5.2.2.	Marketing & Sales 
5.2.2.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
5.2.2.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
5.2.3.	Operations 
5.2.3.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
5.2.3.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
5.2.4.	Human Resources 
5.2.4.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
5.2.4.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
5.2.5.	Legal 
5.2.5.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
5.2.5.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)

Chapter 6.	Global Data Wrangling Market, By Component
6.1.	Market Snapshot 
6.2.	Market Performance - Potential Model
6.3.	Global Data Wrangling Market, Sub Segment Analysis
6.3.1.	Tools 
6.3.1.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
6.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
6.3.2.	Services 
6.3.2.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
6.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
6.3.2.3.	Market Sub-segments 
6.3.2.3.1.	Managed Services 
6.3.2.3.2.	Professional Service

Chapter 7.	Global Data Wrangling Market, by Industry Vertical 
7.1.	Market Snapshot 
7.2.	Market Performance - Potential Model
7.3.	Global Data Wrangling Market, Sub Segment Analysis
7.3.1.	Banking, Financial Services, & Insurance 
7.3.1.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.2.	Government & Public Sector 
7.3.2.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.3.	Healthcare & Life Sciences 
7.3.3.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.4.	Retail & E-Commerce 
7.3.4.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.4.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.5.	Travel & Hospitality 
7.3.5.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.5.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.6.	Automotive & Transportation 
7.3.6.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.6.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.7.	Energy & Utilities 
7.3.7.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.7.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.8.	Telecommunication & IT
7.3.8.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.8.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.9.	Manufacturing 
7.3.9.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.9.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
7.3.10.	Others 
7.3.10.1.	Market estimates & forecasts, 2016-2026  (USD Billion)
7.3.10.2.	Regional breakdown estimates & forecasts, 2016-2026  (USD Billion)
Chapter 8.	Global Data Wrangling Market, by Regional Analysis
8.1.	Data Wrangling Market, Regional Market Snapshot (2016-2026)
8.2.	North America Data Wrangling Market Snapshot
8.2.1.	U.S.
8.2.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.2.1.2.	 Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.2.1.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.2.1.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.2.2.	Canada
8.2.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.2.2.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.2.2.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.2.2.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.3.	Europe Data Wrangling Market Snapshot
8.3.1.	U.K. 
8.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.3.1.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.3.1.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.3.2.	Rest of Europe
8.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.3.2.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.3.2.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.	Asia Data Wrangling Market Snapshot
8.4.1.	China 
8.4.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.1.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.4.1.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.1.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.2.	India 
8.4.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.2.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.4.2.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.2.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.3.	Japan
8.4.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.3.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.4.3.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.3.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.4.	Rest of Asia Pacific
8.4.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.4.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.4.4.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.4.4.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.5.	Latin America Data Wrangling Market Snapshot
8.5.1.	Brazil 
8.5.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.5.1.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.5.1.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.5.1.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   

8.5.2.	Mexico 
8.5.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.5.2.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.5.2.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.5.2.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.6.	Rest of The World 
8.6.1.	Middle East and Africa
8.6.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
8.6.1.2.	Business Function breakdown estimates & forecasts, 2016-2026 (USD Billion) 
8.6.1.3.	 Component breakdown estimates & forecasts, 2016-2026 (USD Billion)   
8.6.1.4.	Industry Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)  

Chapter 9.	Competitive Intelligence
9.1.	Company Market Share (Subject to Data Availability)
9.2.	Top Market Strategies
9.3.	Company Profiles
9.3.1.	IBM
9.3.1.1.	Overview
9.3.1.2.	Financial (Subject to Data Availability)
9.3.1.3.	Product Summary
9.3.1.4.	Recent Development
9.3.2.	Oracle 
9.3.3.	SAS Institute 
9.3.4.	Trifacta 
9.3.5.	Datawatch 
9.3.6.	Talend 
9.3.7.	Alteryx 
9.3.8.	Dataiku 
9.3.9.	Tibco Software 
9.3.10.	Informatica 
Chapter 10.	Research Process
10.1.	Research Process
10.1.1.	Data Mining
10.1.2.	Analysis
10.1.3.	Market Estimation
10.1.4.	Validation
10.1.5.	Publishing
10.1.6.	Research Assumption

Global Data Wrangling Market valued approximately USD 1.30 Billion in 2018 is anticipated to grow with a healthy growth rate of more than 20.04% over the forecast period 2019-2026. 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. However, reluctance to shift from traditional ETL tools to advanced automated tools impedes the growth of the market over the forecast period of 2019-2026.

The regional analysis of global Data Wrangling market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the presence of prominent players and broad adoption of data wrangling tools and services. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2019-2026. APEC, being a manufacturing hub, is expected to adopt the data wrangling substantially, to remain cost efficient and export high-quality goods to other countries.

Major market player included in this report are:
IBM
Oracle
SAS Institute
Trifacta
Datawatch
Talend
Alteryx
Dataiku
Tibco Software
Informatica

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
Professional Services
Managed 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
By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Global Data Wrangling Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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