Big Data and Data Engineering Services Market is expected to register exponential growth

According to the latest research report published by Market Data Forecast, the global big data and data engineering services market size is anticipated to be worth USD 169.9 billion by 2029 from USD 75.55 billion in 2024, growing at a CAGR of 17.6% from 2024 to 2029.

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 pose 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.

Global Big Data and Data Engineering Services Market Report Scope:
• Market Size (2029): USD 169.9 Billion
• Market Size (2024): USD 75.55 Billion
• CAGR (2024 to 2029): 17.6%
• Base Year: 2023
• Forecast Period: 2024 to 2029
• Segments Analysed: By Component, Deployment Mode, Organization Size, Business Function, Vertical, and Region
• Geographies Covered: North America, Europe, APAC, Latin America, and Middle East & Africa
• Key Market Players 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 Drivers:

The exponential rise in unstructured data volume as a result of social networks and connected devices is one of the key factors propelling the growth of the worldwide big data and data engineering services market. The BFSI vertical is anticipated to maintain the greatest size in the big data and data engineering services market by industrial vertical during the forecast period. The need for banks and other financial organisations to maintain and manage these records of financial transactions grows along with the volume and variety of data they handle.
Strong data engineering is required to collect, clean, and prepare data for analysis, particularly with the expanding use of AI, machine learning, and advanced analytics techniques. Additionally, as businesses require real-time insights to make choices, they require data engineering services that can manage streaming and analyse data in real time.
Furthermore, as IoT devices multiply, enormous amounts of data are produced that require efficient management and processing. The need for data engineering services has grown as a result. Stricter regulations on data privacy and security also necessitate the use of specialised services to maintain compliance when handling and processing sensitive data.

Market Restraints:

The big data and data engineering services market faces several obstacles or limitations.
Data security and privacy are becoming more crucial as data volumes rise. Obtaining and utilising a range of datasets is challenging since companies are reluctant to release sensitive data. Furthermore, it is difficult to find experts with the knowledge and abilities needed to handle and manage big data technology. The limited availability of these services hinders their widespread adoption by preventing efficient utilisation.
Furthermore, implementing big data solutions is expensive especially for smaller companies. Also, the widespread use of these technologies may be hampered by the prohibitive cost of the necessary infrastructure, tools, and skilled labour. Scalability problems may also arise while trying to enhance present systems to accommodate larger datasets.
Moreover, integrating big data technologies with the present generation of legacy systems is challenging and time-consuming. Compatibility issues might make it difficult to combine various technologies and systems smoothly.

Browse full details of the report @ https://www.marketdataforecast.com/market-reports/big-data-engineering-services-market

Key Insights from The Report:
•Based on Component, the Solutions segment led the market and accounted for a large share of the global market in 2023.
•Based on Deployment Mode, the On-Premises segment captured the largest share of the global market in 2023.
•Based on Organization Size, SMBs is anticipated to dominate the market during the forecast period in 2023.
•Based on Business Function, Marketing and Sales is predicted to dominate the market the market in the foreseen period.
•Based on Vertical, BFSI segment holds the largest share of the market during the forecast period.
•North America dominated the smart building market in 2023. Asia Pacific accounted for the second-highest share of the global market in 2023, and the European region is estimated to grow over the forecast period.

SEGMENTATION INCLUDED IN THIS REPORT:

By Component
•Solutions
oBig Data Analysis
oData Discovery
oData Visualization
oData Management
•Services
oManaged Services
oProfessional Services
oConsulting
oSupport And Maintenance
oImplementation
oIntegration

By Deployment Mode
•On-Premises
•Cloud
oPublic Cloud
oPrivate Cloud
oHybrid Cloud

By Organization Size
•SMBs
•Large Enterprises

By Business Function
•Marketing and Sales
•Operations
•Finance
•Human Resources

By Vertical
•Commercial Applications
•BFSI
•Government And Defense
•Healthcare And Life Sciences
•Entertainment
•Telecommunications and IT
•Transport
•Logistics

By Region
•North America
•South America
•Europe
•Asia-Pacific (APAC)
•Middle East and Africa (MEA).

TABLE OF CONTENTS:

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 Inferences

4. Market Dynamics
4.1 Impact Analysis
4.1.1 Drivers
4.1.2 Restraints
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 (2024 to 2029)
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 (2024 to 2029)
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 (2024 to 2029)
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 (2024 to 2029)
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 (2024 to 2029)
6.5.9 Y-o-Y Growth Rate Analysis
6.5.10 Market Attractiveness Index

7. Geographical Landscape
7.1 Global Big Data and Data Engineering Services Market, by Region
7.2 North America - Market Analysis (2024 to 2029)
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

10. Appendix
List of Tables
List of Figures

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