Global Data Wrangling Market, By Business Function (Finance, Marketing and Sales, Operations, Human Resources and Legal), Component (Tools and Services), Deployment Model (On-Premises and Cloud), Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), Industry Vertical (Banking, Financial Services, and Insurance, Government and Public Sector, Healthcare and Life Sciences, Retail and Ecommerce, Travel and Hospitality, Automotive and Transportation, Energy and Utilities, Telecommunication and IT, Manufacturing and Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029.
Data wrangling market is expected to gain market growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyses the market to reach at an estimated value of USD 3.0 billion by 2028 and grow at a CAGR of 9.65% in the above-mentioned forecast period.
Data wrangling or data munging, is basically the process of changing and mapping information from raw data shape into another configuration with the goal of influencing it more suitable and significant for an assortment of downstream purposes for example, analytics.
The factors such as rising concerns about information loss and theft, the upward trends of Bring Your Own Device (BYOD) and enterprise mobility are expected to emerge as the significant factors accelerating the growth of data wrangling market. In addition to this, velocity of data and volume of data and technological advancements in AI and MI technologies, will further aggravate the growth of the data wrangling market. However, issues related to data quality results as a growth restraint for the market.
The advancements in edge computing is anticipated to generate lucrative opportunities for the data wrangling market. The lack of awareness related to data wrangling tools among SMEs will pose as a challenge for the Data wrangling market.
This data wrangling market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on data wrangling market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Data Wrangling Market Scope and Market Size
The data wrangling market is segmented on the basis of business function, component, deployment model, organization size and industry vertical. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of business function, data wrangling market is segmented into finance, marketing and sales, operations, human resources and legal.
- On the basis of component, data wrangling market is segmented into tools and services. Services are sub-segmented into managed and professional services. Professional services are further segmented into consulting and support and maintenance services.
- On the basis of deployment model, data wrangling market is segmented into on-premises and cloud.
- On the basis of organization size, data wrangling market is segmented into large enterprises and small and medium-sized enterprises.
- Based on industry vertical, data wrangling market is segmented into banking, financial services, and insurance, government and public sector, healthcare and life sciences, retail and ecommerce, travel and hospitality, automotive and transportation, energy and utilities, telecommunication and IT, manufacturing and others.
Data Wrangling Market Country Level Analysis
The Data wrangling market is analyzed and market size, volume information is provided by business function, component, deployment model, organization size and industry vertical as referenced above.
The countries covered in the data wrangling market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America is projected to dominate the data wrangling market during the forecast period owing to the rising adoption of data wrangling services and also the data collected on a daily basis has increased the demand for data wrangling at a large scale. Asia-Pacific, on the other hand, is expected to show a lucrative growth due to increasing data collection in countries like China and India.
The country section of the data wrangling market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Data Wrangling Market Share Analysis
The data wrangling market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to data wrangling market.
Some of the major players covered in the data wrangling market report are Trifacta, Datawatch Systems Inc., Dataiku, IBM, SAS Institute Inc., Oracle, Talend, Alteryx Inc., TIBCO Software Inc., Paxata Inc., Informatica, Hitachi Vantara Corporation, Teradata, Datameer, Cooladata, Ubiquiti Inc., Rapid Insight, Infogix Inc., Zaloni, Impetus Technologies Inc., Ideata Analytics, Onedot AG, IRI, Brillio, TMMData among others.
Customization Available : Global Data Wrangling Market
Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.