Big Data and Data Engineering Services Market Forecast 2025 - Country Level Analysis, Industry Size and Future Prospective with Key Company Profiles Amazon Web Services (AWS), Dell, Hewlett Packard Enterprise, Microsoft

The report includes forecasts and analysis for the Big Data and Data Engineering Services Market at global and regional level. It provides historic data covering 2016, base data covering 2017 along with a forecast data covering 2018 to 2025 based on revenue, sales, import and export.

The report also proves essential when it comes to explaining what the market definition, classifications, applications, and engagements are for the Big Data and Data Engineering Services Market in the Information and Communication Technology industry the report also has all the company profiles of the lead players and brands in the Big Data and Data Engineering Services Market that are driving the market and are making key trends.

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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.

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.,
• MapR Technologies, Inc.,
• Mirantis, Inc.,
• Tele-Media Solutions,
• Kleiner Perkins,
• NORTHGATE,
• Wipro Limited,
• Red Hat, Inc.,
• 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.

In 2017, Oracle launched the first digital data offering for channel marketers, which empowers the indirect sellers, value-added resellers and distributors.

In 2017, Cloudera launched the SDX a shared data experience for data enterprises, which centralized the consistent framework, security and governance.

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Segmentation:

Based on solution:

• Hadoop-as-a-Service (HDaaS)
• Data-as-a-Service (DaaS)
• Data Analytics-as-a-Service

Based on deployment models:

• Public cloud
• Private cloud
• Hybrid cloud

Based on organization size:

• 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:

• North America
• South America
• Europe
• Asia-Pacific
• Middle East & Africa

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.

Major Points from Table of Content:

1. Introduction
2. Research Methodology
3. Executive Summary
4. Key Inferences
5. Market Overview
6. Drivers, Restraints, Opportunities, and Challenges Analysis (DROC)
7. Market Segmentation
8. Competitive Landscape
9. Key Players
10. Future of the Market

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