Big Data and Data Engineering services help companies optimize their business processes by capturing and interpreting business data. They allow organizations to obtain information and move to fast and reliable decision making.
Most businesses are primarily driven by increased data consumption, competition, and explosion. The complexity and scalability of disparate data poses a challenge to traditional database and analytics technologies. Real-time processing of big data, using the cloud as a catalyst, has become the norm. The disruptive technologies that underpin SMAC - social, mobile, analytics, and cloud are leading to new business scenarios that make the most of data.
Software companies are increasingly focusing on on-demand technologies and are once again exploring innovative ways to serve their customers as the COVID-19 crisis creates challenges across multiple industries and reduces technology spending.
With the COVID-19 crisis having a major impact on the manufacturing industry, it is likely that most of the company's existing suppliers will have a difficult time meeting urgent needs. From government health ministries to private medical device providers, the two are struggling to meet the sudden surge in demand for key safety equipment to counter COVID-19.
Recent Developments:
Market growth and trends:
Big data analytics in banking is set to grow dramatically in the future
Market Drivers and Restraints:
The main drivers of the global big data and data engineering services market growth include the rapid increase in the volume of unstructured data due to the phenomenal growth of interconnected devices and social networks. However, the inability of service providers to provide real-time information could limit market growth.
In the big data and data engineering services market by industry vertical, the BFSI vertical is expected to retain the largest size during the forecast period. As the volume and variety of data increases, so does the demand for keeping and managing these records of financial transactions in banks and other financial institutions.
REPORT METRIC |
DETAILS |
Market Size Available |
2020 – 2026 |
Base Year |
2020 |
Forecast Period |
2022 - 2027 |
CAGR |
17.6% |
Segments Covered |
By Component, Deployment Mode, Organization Size, Business Function, Vertical, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
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 and Others. |
Market segmentation:
the market for big data and data engineering services is segmented into solutions and services.
Regional Analysis:
The regions covered in the global big data and data engineering services market report are North America, South America, Europe, Asia-Pacific (APAC), and Middle East and Africa (MEA).
North America is supposed to dominate big data and data engineering services business due to technological advancements and high implementation of these engineering services in the North American area.
Key market players:
The major players covered by the Big Data and Data Engineering Services Market report 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., among other national and global players.
1. Introduction
1.1 Market Definition
1.2 Scope of the report
1.3 Study Assumptions
1.4 Base Currency, Base Year and Forecast Periods
2. Research Methodology
2.1 Analysis Design
2.2 Research Phases
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Data Modelling
2.2.4 Expert Validation
2.3 Study Timeline
3. Report Overview
3.1 Executive Summary
3.2 Key Inferencees
4. Market Dynamics
4.1 Impact Analysis
4.1.1 Drivers
4.1.2 Restaints
4.1.3 Opportunities
4.2 Regulatory Environment
4.3 Technology Timeline & Recent Trends
5. Competitor Benchmarking Analysis
5.1 Key Player Benchmarking
5.1.1 Market share analysis
5.1.2 Products/Service
5.1.3 Regional Presence
5.2 Mergers & Acquistion Landscape
5.3 Joint Ventures & Collaborations
6. Market Segmentation
6.1 Big Data and Data Engineering Services Market, By Component
6.1.1 Solutions
6.1.2 Services
6.1.3 Market Size Estimations & Forecasts (2019-2024)
6.1.4 Y-o-Y Growth Rate Analysis
6.1.5 Market Attractiveness Index
6.2 Big Data and Data Engineering Services Market, By Deployment Mode
6.2.1 Cloud
6.2.2 Local
6.2.3 Market Size Estimations & Forecasts (2019-2024)
6.2.4 Y-o-Y Growth Rate Analysis
6.2.5 Market Attractiveness Index
6.3 Big Data and Data Engineering Services Market, By Organization Size
6.3.1 SMEs
6.3.2 Large
6.3.3 Market Size Estimations & Forecasts (2019-2024)
6.3.4 Y-o-Y Growth Rate Analysis
6.3.5 Market Attractiveness Index
6.4 Big Data and Data Engineering Services Market, By Business Function
6.4.1 Marketing and Sales
6.4.2 Operations
6.4.3 Human Resources
6.4.4 Finance
6.4.5 Market Size Estimations & Forecasts (2019-2024)
6.4.6 Y-o-Y Growth Rate Analysis
6.4.7 Market Attractiveness Index
6.5 Big Data and Data Engineering Services Market, By Vertical
6.5.1 Commercial Applications
6.5.2 BFSI
6.5.3 Government and Defense
6.5.4 Healthcare and Life Sciences
6.5.5 Entertainment
6.5.6 Telecommunications and IT
6.5.7 Transport and Logistics
6.5.8 Market Size Estimations & Forecasts (2019-2024)
6.5.9 Y-o-Y Growth Rate Analysis
6.5.10 Market Attractiveness Index
7. Geographical Landscape
7.1 Global Identity Governance and Administration Market, by Region
7.2 North America - Market Analysis (2018 - 2024)
7.2.1 By Country
7.2.1.1 USA
7.2.1.2 Canada
7.2.2 By Component
7.2.3 By Deployment Mode
7.2.4 By Organization Size
7.2.5 By Business Function
7.2.6 By Vertical
7.3 Europe
7.3.1 By Country
7.3.1.1 UK
7.3.1.2 France
7.3.1.3 Germany
7.3.1.4 Spain
7.3.1.5 Italy
7.3.1.6 Rest of Europe
7.3.2 By Component
7.3.3 By Deployment Mode
7.3.4 By Organization Size
7.3.5 By Business Function
7.3.6 By Vertical
7.4 Asia Pacific
7.4.1 By Country
7.4.1.1 China
7.4.1.2 India
7.4.1.3 Japan
7.4.1.4 South Korea
7.4.1.5 South East Asia
7.4.1.6 Australia & NZ
7.4.1.7 Rest of Asia-Pacific
7.4.2 By Component
7.4.3 By Deployment Mode
7.4.4 By Organization Size
7.4.5 By Business Function
7.4.6 By Vertical
7.5 Latin America
7.5.1 By Country
7.5.1.1 Brazil
7.5.1.2 Argentina
7.5.1.3 Mexico
7.5.1.4 Rest of Latin America
7.5.2 By Component
7.5.3 By Deployment Mode
7.5.4 By Organization Size
7.5.5 By Business Function
7.5.6 By Vertical
7.6 Middle East and Africa
7.6.1 By Country
7.6.1.1 Middle East
7.6.1.2 Africa
7.6.2 By Component
7.6.3 By Deployment Mode
7.6.4 By Organization Size
7.6.5 By Business Function
7.6.6 By Vertical
8. Key Player Analysis
8.1 Amazon Web Services
8.1.1 Business Description
8.1.2 Products/Service
8.1.3 Financials
8.1.4 SWOT Analysis
8.1.5 Recent Developments
8.1.6 Analyst Overview
8.2 Dell Inc
8.3 Hewlett Packard Enterprise Development LP
8.4 Microsoft
8.5 Oracle
8.6 SAP SE
8.7 SAS Institute Inc
8.8 Teradata
8.9 MapR Technologies, Inc
8.10 Guardian Glass, LLC
9. Market Outlook & Investment Opportunities
Appendix
List of Tables
List of Figures
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