DUBLIN--(BUSINESS WIRE)--The "Global Data Wrangling Market - Segmented, by Component (Tool, Service) Deployment (Cloud-based, On-premise) Enterprise Type (Large, Small- and Medium-sized), End-user Industry, and Region - Growth, Trends, and Forecast (2018 - 2023)" report has been added to ResearchAndMarkets.com's offering.
The data wrangling market is expected to register a CAGR of over 16.78% during the forecast period 2018-2023.
With edge analytics gaining widespread adoption, data wrangling tools are expected to be adopted across multiple verticals. These tools would enable to filter out unwanted data and standardized the data that would be efficiently used for AI and ML algorithms to analyze and provide the insights.
Operations being a core function are expected to adopt data wrangling tools significantly in near future. With growing smart cities across the world and rapid adoption of IoT devices, the market is expected to witness significant growth during the forecast period.
SME are Expected to Implement the Technique at a Significant Rate
Enterprises are deploying comprehensive analytical solutions to recognize the pattern, identify the root cause, and analyze the user behavior out of it. Data wrangling tools are, thus, expected to be aggressively used toward cleaning, profiling, and standardizing data.
It is going to help the operations team to have a wider control over their systems, which later they can implement across their business model. The increasing volume and velocity of data across the enterprises has advances before its integration across the AI and ML technologies, which has led to shift from traditional ETL tools to advanced automated tools in the data wrangling market.
Data wrangling tools would be adopted exponentially across the regions with the rise of digitalization of different verticals of enterprise. The complete end-to-end digitalization is possible by the adoption of right tools for data to investigate and analyze among the datasets.
North America is Expected to Have the Highest Market Share
The North American region remains the single largest contributor, when it comes to the adoption of data wrangling tools and services. Due to the presence of some of the major vendors of data analytics and data wrangling tools, such as Trifacta, IBM, Hitchi Vantara, SAS, and Oracle having their headquarters, as well as direct sales offices, the region is expected to dominate the market during the forecast period.
Moreover, growing partnerships, agreements, and strategic alliances across the field also indicate that the region may lead to the adoption of digital technologies in near future.
Topics Covered
1. Introduction
2. Research Methodology
3. Executive Summary
4. Market Insights
4.1 Market Overview
4.2 Porter's Five Forces Analysis
4.3 Industry Value Chain Analysis
4.4 Industry Policies
4.5 Technology Snapshots
5. Market Dynamics
5.1 Market Drivers
5.1.1 Growing Volume and Velocity of Data
5.1.2 Advancement in AI and Big Data Technologies
5.1.3 Growing Concern about Data Veracity
5.2 Market Restraints
5.2.1 Lack of Awareness of Data Wrangling Tools among Enterprises
5.3 Market Opportunities
5.3.1 Rising Trend of Edge Computing
6. Global Data Wrangling Market Segmentation
6.1 By Component
6.1.1 Tools
6.1.2 Services
6.2 By Deployment
6.2.1 Cloud-Based
6.2.2 On-premises
6.3 By Enterprise Type
6.3.1 Large
6.3.2 Small- and Medium-Sized
6.4 By End-user Industry
6.4.1 IT and Telecom
6.4.2 Retail
6.4.3 Government
6.4.4 BFSI
6.4.5 Healthcare
6.4.6 Others
6.5 By Region
6.5.1 North America
6.5.2 Europe
6.5.3 Asia-Pacific
6.5.4 Rest of the World
7. Competitive Intelligence - Company Profiles
7.1 Trifacta Software Inc.
7.2 Hitachi Vantara Corporation
7.3 TIBCO Software Inc.
7.4 Datawatch Corporation
7.5 DATAIKU SAS
7.6 Teradata Corporation
7.7 Oracle Corporation
7.8 SAS Institute Inc.
7.9 Talend SA
7.10 Alteryx Inc.
7.11 Paxata Inc.
7.12 Rapid Insight Inc.
7.13 Brillio LLC
7.14 Unifi Inc.
List Not Exhaustive
8. Investment Analysis
9. Future of Global Data Wrangling Market
For more information about this report visit https://www.researchandmarkets.com/research/7pvkm5/global_data?w=4
