Portland, OR, July 13, 2020 (GLOBE NEWSWIRE) -- According to the report, the global data wrangling market garnered $1.45 billion in 2018, and is projected to reach $5.58 billion by 2026, registering a CAGR of 18.4% from 2019 to 2026. The report offers a detailed analysis of changing market dynamics, value chain, key segments, market size & estimations, and competitive scenario.
Rise in the adoption of big data analytics software among multiple organizations and an increase in cloud-based big data analytics software adoption among SMEs drive the growth of the global data wrangling market. However, lack of awareness related to data wrangling tools among SMEs and issues related to data quality hinder the market growth. On the other hand, advancements in edge computing would offer new opportunities in the industry.
Download Sample Report: https://www.alliedmarketresearch.com/request-sample/6005
Covid-19 scenario:
- Market players have developed databases, tools, and analytics solutions with the help of experts, researchers, and analysts to predict COVID epidemiology.
- Leading companies such as AWAS and C3.ai have launched their covid-19 data collection publicly for researchers to avail vast amount of structured data and accelerate efforts to address pandemic.
- Governments have collaborated with tech companies to avail insights and take further decisions to curb the spread of coronavirus.
Get detailed COVID-19 impact analysis on the Data Wrangling Market
The research offers a detailed segmentation of the global data wrangling market based on component, organization size, deployment model, business functions, industry verticals, and geography.
Based on component, the solution segment accounted for the major market share in 2018, holding nearly three-fourths of the global market, and is estimated to maintain the highest contribution throughout the forecast period. However, the service segment would register the fastest CAGR of 20.8% during the forecast period.
On the basis of the deployment model, the on-premise segment accounted for nearly three-fifths of the total market share in 2018 and is estimated to maintain its dominance by 2026. Simultaneously, the cloud segment is estimated to maintain the highest CAGR of 20.1% from 2019 to 2026.
For Purchase Inquiry: https://www.alliedmarketresearch.com/purchase-enquiry/6005
Based on geography, North America held nearly two-fifths of the total revenue of the global market in 2018, and is expected to maintain the dominant share during the forecast period. However, Asia-Pacific is projected to witness the fastest CAGR of 20.9% during the forecast period.
Leading players of the global data wrangling market analyzed in the research include IBM Corporation, SAS institute, Oracle Corporation, Hitachi Vantara, Tibco Software, Alteryx, Teradata Corporation, Trifacta Software Inc., Impetus, and Paxata Inc.
About Allied Market Research:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domains. AMR offers its services across 11 industry verticals including Life Sciences, Consumer Goods, Materials & Chemicals, Construction & Manufacturing, Food & Beverages, Energy & Power, Semiconductor & Electronics, Automotive & Transportation, ICT & Media, Aerospace & Defense, and BFSI.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.