Data Bridge Market Research has recently added a concise research on Global Big Data and Data Engineering Services Market to depict valuable insights related to significant market trends driving the industry. The report features analysis based on key opportunities and challenges confronted by market leaders while highlighting their competitive setting and corporate strategies for the estimated timeline. Some are the key & emerging players that are part of coverage and have being profiled are MapR Technologies, Inc., Mirantis, Inc., Tele-Media Solutions, Kleiner Perkins, NORTHGATE, Wipro Limited, Red Hat, Inc., and many more.
The big data is a term that described the large volume of data where data can be both structured and unstructured, which are mounted for information. The big data revolves around the 3Vs: the volume of data, wide variety of data types and the velocity where the data has been processed. This large volume of data generate from myriad different sources, mainly from business sales records or real time sensor from IoT (Internet of Things). All the data are preprocessed by using software tools. In big data, the data engineers totally emphasis on applications and harvesting of data. They are experts in programming, database design, interface and sensor configuration. Nowadays, data engineering enters into the autonomous vehicle design and configure in servos and actual control mechanism in self driving cars. The big data and data engineering services are mostly applicable in GPS for information, cameras and motion devices.
Analysis of Global Big Data and Data Engineering Services Market report:
The Global Big Data and Data Engineering Services Market is expected to reach USD 28.0 billion by 2025 from USD 3.1 billion in 2017 and is projected to grow at a CAGR of 31.3% in the forecast period of 2018 to 2025. The upcoming market report contains data for historic year 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
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Market Drivers and Restraints:
- Increasing demand for commercial organization.
- Rising demand in deployment in small-/medium-scale businesses.
- Rising demand for customer relation management, enterprise resource planning, E-commerce and supply chain.
- Difficulty in server downtime from data service provider.
- Growing demands in banks and financial institutions.
Top Manufacturers Profiles Operating in the Global Big Data and Data Engineering Services Market:
The renowned players in global big data and data engineering services market are Amazon Web Services, Dell Inc., Hewlett Packard Enterprise Development LP , Microsoft , Oracle, SAP SE, SAS Institute Inc., Teradata. , Datameer, Inc. , Birst, Inc., Guardian Glass, LLC., Opera Solutions, LLC., Sisense Inc
Global Big Data and Data Engineering Services Market Segmentation:
- The market is segmented based on solution, deployment models, organization size and end user industry and geographical segments.
- Based on solution, the market is segmented into Hadoop-as-a-Service (HDaaS), Data-as-a-Service (DaaS), Data Analytics-as-a-Service.
- Based on deployment models, the market is segmented into Public cloud, Private cloud, Hybrid cloud.
- Based on organization size, the market is segmented into Small and medium-sized business, Large enterprises.
- Based on end user industry, BFSI, healthcare and life sciences, retail and consumer goods, manufacturing, travel and hospitality, IT and telecommunication, media and entertainment, government, others.
- Based on geography, the market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa.
The global big data and data engineering services market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of big data and data engineering services market for global, Europe, North America, Asia Pacific and South America.
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