Spain Big Data and Data Engineering Services Market, By Service Type (Data Modelling, Data Analytics, Data Integration, Data Visualization, Data Quality), Business Function (Human Resources, Sales and Marketing, Finance, and Operation), Data Type (Structured Data, Unstructured Data, and Semi-Structured Data), Deployment Model (Cloud, On Premise), Organization Size (Large Organization, Small and Medium Organization), End User (Banking, Financial Services, and Insurance, IT and Telecommunication, Research and Academic, Government and Public Sector, Retail and Ecommerce, Manufacturing, Healthcare and Pharmaceuticals, Travel and Logistics, Energy and Utility, Media and Entertainment, and Others) – Industry Trends and Forecast to 2029
Market Analysis and Size
Big data and data engineering services help organizations streamline their business processes by capturing and interpreting business data. They enable organizations to gain insights and shift to reliable and fast decision-making process. The evolution of technological tools has enabled solutions to be delivered as a service.
Data Bridge Market Research analyses that the Spain big data and data engineering Services market value, which was USD 55.14 billion in 2021, is expected to reach the value of USD 192.95 billion by 2029, at a CAGR of 16.95 % during the forecast period 2022-2029.
Market Definition
Big data is the burning issue in the today’s business era. The amount of data generated by various industries has created huge opportunities for managing and analysing data. It is a new age technology that has recreated the functionality of an organization. IT and telecommunication, banking and financial service sector, and healthcare are one of the few prominent industries which upscale the penetration of big data and data engineering services.
Report Scope and Market Segmentation
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Report Metric |
Details |
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Forecast Period |
2022 to 2029 |
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Base Year |
2021 |
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Historic Years |
2020 (Customizable to 2019 - 2014) |
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Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
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Segments Covered |
Service Type (Data Modelling, Data Analytics, Data Integration, Data Visualization, Data Quality), Business Function (Human Resources, Sales and Marketing, Finance, and Operation), Data Type (Structured Data, Unstructured Data, and Semi-Structured Data), Deployment Model (Cloud, On Premise), Organization Size (Large Organization, Small and Medium Organization), End User (Banking, Financial Services, and Insurance, IT and Telecommunication, Research and Academic, Government and Public Sector, Retail and Ecommerce, Manufacturing, Healthcare and Pharmaceuticals, Travel and Logistics, Energy and Utility, Media and Entertainment, and Others) |
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Market Players Covered |
Accenture. (Ireland),Genpact (New York),Cognizant, (US),Infosys Limited (Bangalore),Capgemini. (France),NTT DATA Corporation (Japan), LatentView Analytics (US),Infostretch Corporation. (US),Vensai Inc. (UAE),Course5 Intelligence, (UK),Sigmoid (US), Bodhtree Consulting Ltd. (US) among others. |
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Market Opportunities |
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Global Spain Big Data and Data Engineering Services Market Dynamics
This section deals with understanding the market drivers, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers:
- Increasing Volume of Unstructured Data, Due to the Phenomenal Growth of Interconnected Devices and Social Media
Increasing unstructured data volumes owing to rise in the number of interconnected devices and social media is the major driver for Spain big data and data engineering services market growth. According to Telefonaktiebolaget LM Ericsson, the number of connected devices across the globe is expected to about 29 billion by 2022 and out of which 18 billion are related to IoT.
- Rising Need for Adhering to Regulatory and Compliance Requirements
Regulatory compliance is when a business follows state, civil, and transnational laws and regulations applicable to its operations. Regulatory compliance involves following external legal authorizations set forth by state, civil, or transnational government. In discrepancy, complying with company programs and procedures involves following internal conditions set forth by the business. Both, still, help drive responsibility in the plant.
- Increased number of industries globally to induce greater demand and supply in emerging nations
Growing number of small and medium scale enterprises all around the globe is one of the major factors fostering the growth of the market. In other words, increased number of banking, financial services, and insurance (BFSI), government and public sector, healthcare and life sciences, manufacturing, retail and e-commerce, telecommunication, and IT industries, is directly influencing the growth rate of the market.
Opportunities:
- Increasing Volume of Data Across Small and Medium-Sized Enterprises (SMEs)
The data boom in India is not just limited to big enterprises, the growth of big data startups/ technology merchandisers is helping SMEs in spanning up structure capabilities and driving perceptivity from data. Analytics India Industry Study indicates that the India domestic request serves as a significant occasion, with nearly 4 of analytics revenues coming for Indian enterprises.
Also, the increased vacuity of accessible, cheap data centres delivered by pall merchandisers, has brought down the costs of outspoken investment for small businesses, thereby reducing the request entry hedge. Now, it's the question of choosing the right analytics merchandisers that fits the bill for small businesses. As further and further merchandisers offer competitive data- driven capabilities, what’s pivotal for startups is getting started with the right structure and make for scaling.
Restrictions/ challenges:
The big data and data engineering services market faces challenges, such as privacy and security concerns and data diversity. Lack of ability of service providers to provide real-time insights may limit the market development.
This Spain big data and data engineering services market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the Spain big data and data engineering services market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Spain Big Data and Data Engineering Services Market
At the beginning of 2022, COVID-19 complaint began to spread around the world, millions of people worldwide were infected with COVID-19 complaint, and major countries around the world have enforced bottom proscriptions and work cessation orders. Except for the medical inventories and life support products diligence, utmost diligence have been greatly impacted, and big data and data engineering services diligence have also been greatly affected. As of the date of the report, there have been further than 20 million verified cases of COVID-19 worldwide, and the epidemic has not been effectively controlled.
Recent Developments
- In April 2020, Capgemini SE blazoned the accession of Advectas AB, a business intelligence and data wisdom company grounded in Sweden. Advectas is integrated into the company's perceptivity and data business unit, as the company aims to work the growing customer demand for data analytics services. Further, going forward the company expects ongoing growth of 4 for 2020 and aims its focus in expanding into the intelligence assiduity request.
- In March 2020, Infosys Limited reported an investment of USD4.5 million into US- grounded incipiency Waterline Data Science through its invention finances. The incipiency offers data governance and data discovery software and also provides business judges and data scientists a tone- service data roster to help understand the data.
Spain Big Data and Data Engineering Services Market Scope
The Spain big data and data engineering services market is segmented on the basis of service type business function, data type ,deployment model ,organization size, end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Service Type
- Data Modelling
- Data Analytics
- Data Integration
- Data Visualization
- Data Quality
Business Function
- Human Resources
- Sales and Marketing
- Finance and Operation
Data Type
- Structured Data
- Unstructured Data
- Semi-Structured Data
Deployment Model
- Cloud
- On Premise
Organization size
- Large Enterprises
- Small and Medium-Sized Enterprises
End user
- Banking
- Financial Services
- Insurance
- IT and Telecommunication
- Research and Academic
- Government and Public Sector
- Retail and Ecommerce
- Manufacturing
- Healthcare and Pharmaceuticals
- Travel and Logistics
- Energy and Utility
- Media and Entertainment
- Others
Competitive Landscape and Spain Big Data and Data Engineering Services Market Share Analysis
The Spain big data and data engineering services market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to Spain big data and data engineering services market.
Some of the major players operating in the Spain big data and data engineering services market are:
- Accenture. (Ireland)
- Genpact (New York)
- Cognizant, (US)
- Infosys Limited (Bangalore)
- Capgemini. (France)
- NTT DATA Corporation (Japan)
- LatentView Analytics (US)
- Infostretch Corporation. (US)
- Vensai Inc. (UAE)
- Course5 Intelligence (UK)
- Sigmoid (US)
- Bodhtree Consulting Ltd. (US)
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATION
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET SIZE
2.3 VENDOR POSITIONING GRID
2.4 TECHNOLOGY LIFE LINE CURVE
2.5 MULTIVARIATE MODELLING
2.6 TOP TO BOTTOM ANALYSIS
2.7 STANDARDS OF MEASUREMENT
2.8 VENDOR SHARE ANALYSIS
2.9 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.1 DATA POINTS FROM KEY SECONDARY DATABASES
2.11 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET: RESEARCH SNAPSHOT
2.12 ASSUMPTIONS
3 MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4 EXECUTIVE SUMMARY
5 PREMIUM INSIGHTS
5.1 TECHNOLOGY TRENDS AND STANDARDS
5.2 REGULATORY LANDSCAPE
6 PORTER’S FIVE FORCE MODEL
6.1 OVERVIEW
6.2 BARGAINING POWER OF BUYERS
6.3 BARGAINING POWER OF SUPPLIERS
6.4 THREAT OF NEW ENTRANTS
6.5 THREAT OF SUBSTITUTES
6.6 THREAT OF RIVALRY
7 INDUSTRY INSIGHTS
8 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET, BY SERVICE TYPE
8.1 OVERVIEW
8.2 DATA MODELING
8.3 DATA ANALYTICS
8.4 DATA INTEGRATION
8.5 DATA VISUALIZATION
8.6 DATA QUALITY
9 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET,
BY BUSINESS FUNCTION
9.1 OVERVIEW
9.2 HUMAN RESOURCES
9.3 SALES AND MARKETING
9.4 FINANCE
9.5 OPERATION
10 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET, BY DATA TYPE
10.1 OVERVIEW
10.2 STRUCTURED DATA
10.3 UNSTRUCTURED DATA
10.4 SEMI-STRUCTURED DATA
11 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET,
BY DEPLOYMENT MODEL
11.1 OVERVIEW
11.2 CLOUD
11.3 ON-PREMISE
12 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET,
BY ORGANIZATION SIZE
12.1 OVERVIEW
12.2 LARGE ORGANIZATION
12.2.1 BY DEPLOYMENT MODEL
12.2.1.1. CLOUD
12.2.1.2. ON-PREMISE
12.3 SMALL & MEDIUM ORGANIZATION
12.3.1 BY DEPLOYMENT MODEL
12.3.1.1. CLOUD
12.3.1.2. ON-PREMISE
13 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET, BY END-USER
13.1 OVERVIEW
13.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
13.3 IT AND TELECOM
13.4 RESEARCH AND ACADEMIC
13.5 GOVERNMENT AND PUBLIC SECTOR
13.6 RETAIL & ECOMMERCE
13.7 MANUFACTURING
13.8 HEALTHCARE AND PHARMACEUTICALS
13.9 TRAVEL & LOGISTICS
13.1 ENERGY AND UTILITY
13.11 MEDIA AND ENTERTAINMENT
13.12 ACADEMIA AND RESEARCH
13.13 OTHERS
14 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET,
COMPANY LANDSCAPE
14.1 COMPANY SHARE ANALYSIS: SPAIN
14.2 MERGERS & ACQUISITIONS
14.3 NEW PRODUCT DEVELOPMENT & APPROVALS
14.4 EXPANSIONS
14.5 REGULATORY CHANGES
14.6 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
15 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET,
SWOT & DBMR ANALYSIS
16 SPAIN BIG DATA AND DATA ENGINEERING SERVICES MARKET, COMPANY PROFILE
16.1 INFOSYS LIMITED
16.1.1 COMPANY SNAPSHOT
16.1.2 GEOGRAPHIC PRESENCE
16.1.3 PRODUCT PORTFOLIO
16.1.4 RECENT DEVELOPMENTS
16.2 KPMG
16.2.1 COMPANY SNAPSHOT
16.2.2 GEOGRAPHIC PRESENCE
16.2.3 PRODUCT PORTFOLIO
16.2.4 RECENT DEVELOPMENTS
16.3 NTT DATA,INC.
16.3.1 COMPANY SNAPSHOT
16.3.2 GEOGRAPHIC PRESENCE
16.3.3 REVENUE ANALYSIS
16.3.4 PRODUCT PORTFOLIO
16.3.5 RECENT DEVELOPMENTS
16.4 IBM
16.4.1 COMPANY SNAPSHOT
16.4.2 GEOGRAPHIC PRESENCE
16.4.3 PRODUCT PORTFOLIO
16.4.4 RECENT DEVELOPMENTS
16.5 ACCENTURE
16.5.1 COMPANY SNAPSHOT
16.5.2 GEOGRAPHIC PRESENCE
16.5.3 PRODUCT PORTFOLIO
16.5.4 RECENT DEVELOPMENTS
16.6 GENPACT
16.6.1 COMPANY SNAPSHOT
16.6.2 GEOGRAPHIC PRESENCE
16.6.3 PRODUCT PORTFOLIO
16.6.4 RECENT DEVELOPMENTS
16.7 COGNIZANT CORPORATION
16.7.1 COMPANY SNAPSHOT
16.7.2 GEOGRAPHIC PRESENCE
16.7.3 PRODUCT PORTFOLIO
16.7.4 RECENT DEVELOPMENTS
16.8 TIGER ANALYTICS
16.8.1 COMPANY SNAPSHOT
16.8.2 GEOGRAPHIC PRESENCE
16.8.3 PRODUCT PORTFOLIO
16.8.4 RECENT DEVELOPMENTS
16.9 MPHASIS
16.9.1 COMPANY SNAPSHOT
16.9.2 GEOGRAPHIC PRESENCE
16.9.3 PRODUCT PORTFOLIO
16.9.4 RECENT DEVELOPMENTS
16.1 BODHTREE CONSULTING LTD
16.10.1 COMPANY SNAPSHOT
16.10.2 GEOGRAPHIC PRESENCE
16.10.3 PRODUCT PORTFOLIO
16.10.4 RECENT DEVELOPMENTS
17 QUESTIONNAIRE
18 CONCLUSION
19 RELATED REPORTS
20 ABOUT DATA BRIDGE MARKET RESEARCH
Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated 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 drop down your inquiry.
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. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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