Big Data and Data Engineering Services Market is forecasted to grow at 17.8% with factors such as growing unstructured data, rising adoption of big data analytics in the financial service industry fabric are the major drivers fueling the growth of Spain Big Data And Data Engineering Services Market.
IT and telecommunication industry has transformed over the past few years. Growing technological investments from the key players and organizations emphasis towards big data as tool for curtailing business costs are other factors impacted positively on the Spain Big Data And Data Engineering Services Market
Spain Big Data and Data Engineering Services Market Scenario
IBM Corporation, the U.S. based multinational information technology company is a technological and next generation IT infrastructure provider that enables organizations to sustain in the market. The market leader IBM Corporation accounts an estimated market share of approximately 23% to 28% of Spain big data and data engineering services market. The sales revenue of IBM Corporation for the year 2018 was USD 79600.
- In November 2019, IBM Corporation launched GRAF (Global High Resolution Atmospheric Forecasting) global weather model with the combination of two buzzing technologies such as big data and artificial intelligence. Newly launched model provides accurate weather forecasting minute details within a range of 2 miles. This system have wide array of applications including agriculture, retail, and airlines across the globe. Building of smart applications with the help of smart technologies is anticipated to accelerate the growth of big data and data engineering services market in Spain.
Trends Impacting the Market
Now the question is which other regions IBM Corporation, Accenture, Infosys Limited, NTT DATA, Inc, and KPMG International are targeting? Data Bridge Market Research has forecasted a large growth in big data and data engineering services by service type. The companies are focusing on domestic as well as international big data and data engineering services market to solidify their position.
Big data and data engineering services market is becoming more competitive every year with companies such as Accenture and IBM Corporation are the market leaders for big data and data engineering services. The Data Bridge Market Research new reports highlight the major growth factors and opportunities in big data and data engineering services market.
For more analysis on the big data and data engineering services market request for a briefing with our analysts https://www.databridgemarketresearch.com/speak-to-analyst/?dbmr=spain-big-data-and-data-engineering-services-market
New Spain Big Data and Data Engineering Services Market Developments in 2019
- In December, South Korean telecom giant, KT has introduced AI driven big data platform to provide businesses wide array of information. With this platform, the company has enhances its capabilities in the field of data exploration.
- In December, Chilean insurtech, Jooycar will be expanding its IoT and big data platform in the U.S. for customization of car insurance. This tech platform could accelerate the big data technology growth in the banking, financial services and insurance (BFSI).
Scope of the Spain Big Data and Data Engineering Services Market
Analysis of big data and data engineering services market is further analyzed based on maximum granularity into further segmentation. On the basis of service type, the market is segmented into data modeling, data analytics, data integration, data visualization, and data quality. Based on business function, the market is segmented into human resources, sales and marketing, finance, and operation. On the basis of data type, the market is segmented into structured data, unstructured data, and semi-structured data. Based on the deployment model, the market is segmented into cloud and on premise. On the basis of organization size, the market is segmented into large organization, small and medium organization. Based on the end user, the market is segmented into banking, financial services, and insurance, IT and telecommunication, research and academic, government and public sector, retail & ecommerce, manufacturing, healthcare and pharmaceuticals, travel & logistics, energy and utility, media and entertainment, and others.
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Key Pointers Covered in the Big Data and Data Engineering Services Market Industry Trends and Forecast to 2027
- Market Size
- Regulatory Framework And Changes
- Market Shares in Different Regions
- Recent Developments For Market Competitors
- Recent Market Value for Different Regions
- Sales Data for Market Competitors
- Key Vendors and Disruptors Study
- Supply Chain Competiveness
- Infrastructure Development
Key Market Competitors Covered in the Report
- IBM Corporation
- Accenture
- Infosys Limited
- NTT DATA, Inc.
- KPMG International
Above are the key players covered in the report to know about more and exhaustive list of big data and data engineering services companies contact us https://www.databridgemarketresearch.com/toc/?dbmr=spain-big-data-and-data-engineering-services-market
Research Methodology: Big Data and Data Engineering Services Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Primary Respondents
- Demand Side: Software Developers, Service Providers, Personal Consumers.
- Supply Side: Product Managers, Marketing Managers, Data Engineers, Data Scientists, Data Analysts, Distributors, Market Intelligence, and Regulatory Affairs Managers among others.
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