Spain Big Data and Data Engineering Services Market – Industry Trends and Forecast to 2029

Pedido de resumo Pedido de TOC Fale com Analista Fale com o analista Relatório de amostra grátis Relatório de amostra grátis Consulte antes Comprar Consulte antes  Comprar agora Comprar agora

Spain Big Data and Data Engineering Services Market – Industry Trends and Forecast to 2029

  • ICT
  • Upcoming Reports
  • Jun 2022
  • Country Level
  • 350 Páginas
  • Número de tabelas: 220
  • Número de figuras: 60
  • Author : Megha Gupta

Contorne os desafios das tarifas com uma consultoria ágil da cadeia de abastecimento

A análise do ecossistema da cadeia de abastecimento agora faz parte dos relatórios da DBMR

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

Report Metric

Details

Forecast Period

2022 to 2029

Base Year

2021

Historic Years

2020 (Customizable to 2019 - 2014)

Quantitative Units

Revenue in USD Billion, Volumes in Units, Pricing in USD

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)

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.

Market Opportunities

  • Growing volume of data across small and medium-sized industry
  • Growing unstructured data

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

Business Function

  • Human Resources
  • Sales and Marketing
  • Finance and Operation

Data Type

  • Structured Data
  • Unstructured Data
  • Semi-Structured Data

Deployment Model

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)


SKU-

Obtenha acesso online ao relatório sobre a primeira nuvem de inteligência de mercado do mundo

  • Painel interativo de análise de dados
  • Painel de análise da empresa para oportunidades de elevado potencial de crescimento
  • Acesso de analista de pesquisa para personalização e customização. consultas
  • Análise da concorrência com painel interativo
  • Últimas notícias, atualizações e atualizações Análise de tendências
  • Aproveite o poder da análise de benchmark para um rastreio abrangente da concorrência
Pedido de demonstração

Índice

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

View Detailed Information Right Arrow

Metodologia de Investigação

A recolha de dados e a análise do ano base são feitas através de módulos de recolha de dados com amostras grandes. A etapa inclui a obtenção de informações de mercado ou dados relacionados através de diversas fontes e estratégias. Inclui examinar e planear antecipadamente todos os dados adquiridos no passado. Da mesma forma, envolve o exame de inconsistências de informação observadas em diferentes fontes de informação. Os dados de mercado são analisados ​​e estimados utilizando modelos estatísticos e coerentes de mercado. Além disso, a análise da quota de mercado e a análise das principais tendências são os principais fatores de sucesso no relatório de mercado. Para saber mais, solicite uma chamada de analista ou abra a sua consulta.

A principal metodologia de investigação utilizada pela equipa de investigação do DBMR é a triangulação de dados que envolve a mineração de dados, a análise do impacto das variáveis ​​de dados no mercado e a validação primária (especialista do setor). Os modelos de dados incluem grelha de posicionamento de fornecedores, análise da linha de tempo do mercado, visão geral e guia de mercado, grelha de posicionamento da empresa, análise de patentes, análise de preços, análise da quota de mercado da empresa, normas de medição, análise global versus regional e de participação dos fornecedores. Para saber mais sobre a metodologia de investigação, faça uma consulta para falar com os nossos especialistas do setor.

Personalização disponível

A Data Bridge Market Research é líder em investigação formativa avançada. Orgulhamo-nos de servir os nossos clientes novos e existentes com dados e análises que correspondem e atendem aos seus objetivos. O relatório pode ser personalizado para incluir análise de tendências de preços de marcas-alvo, compreensão do mercado para países adicionais (solicite a lista de países), dados de resultados de ensaios clínicos, revisão de literatura, mercado remodelado e análise de base de produtos . A análise de mercado dos concorrentes-alvo pode ser analisada desde análises baseadas em tecnologia até estratégias de carteira de mercado. Podemos adicionar quantos concorrentes necessitar de dados no formato e estilo de dados que procura. A nossa equipa de analistas também pode fornecer dados em tabelas dinâmicas de ficheiros Excel em bruto (livro de factos) ou pode ajudá-lo a criar apresentações a partir dos conjuntos de dados disponíveis no relatório.

Testimonial