Global Big Data and Data Engineering Services Market by Service Type (Data Modelling, Data Integration, Others), Business Function, Organization Size, Industry, Region, Global Industry Analysis, Market Size, Share, Growth, Trends, and Forecast 2018 to 2025

  • Publish Date: Jan, 2019
  • Report ID: 362226
  • Category: Semiconductors
  • Pages: 0
$4,700

Global big data and data engineering services market is expected to reach USD 123.89 Billion by 2025, at a CAGR of 18.2% from 2018 to 2025. The key contributing factor for the market growth are bigger amount of unstructured data due to significant growth of interconnected devices and social media and increasing awareness to follow regulations and policies

Market Overview:

The big data is described as the large amount of structured and unstructured data which are collected from various sources so that it can be processed and can provide meaningful and precise information to the end users. The big data involves 3Vs: the volume of data, variety of data types and the velocity with which the data is processed.

Big data refers to the study and evaluation of data sets that are too difficult for traditional data-processing application software. Big data includes procuring data, storage of data, data analysis, searching and sharing, updating, information privacy and data source.

Big data and data engineering services is used by organizations to organise and restructure their business processes by procuring and examining large volume of business data. It enables organizations to gain insights and speeds up the decision-making process.

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

Report Description:

  • The base year for the study has been considered 2017, historic year 2015 and 2016 and, the forecast period considered is from 2018 to 2025. The big data and data engineering services market is analysed on the basis of value (USD Billion).
  • The study delivers a comprehensive analysis of global big data and data engineering services market by service type, business function, organization size, industry and regions.
  • The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2018 to 2025.
  • Porter’s Five Forces model is used in order to recognize the competitive scenario in the global big data and data engineering services market. This report incorporates the industry analysis which is focused on providing an extensive view of the big data and data engineering services market.
  • The study also includes attractiveness analysis of service type, business function, organization size, industry and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
  • The report provides company profile of the key players operating in the big data and data engineering services market and a comparative analysis based on their business overviews, product offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
  • The market estimates have been evaluated by considering the effect of different political, economic, social, technological and legal factors which are based on our extensive secondary research, primary research, and in-house databases.

Market Dynamics:

Drivers:

  • Increase in amount volume of unstructured data due to significant growth of interconnected devices and social media
  • Inclination towards tools like customer relation management, enterprise resource planning, E-commerce and supply chain.
  •  Rising awareness to follow regulations and policies
  • Increase in demand of deployment in small-/medium-scale businesses.

 Restraints:

  • Inefficiency of service providers to provide real-time insights
  • Problem in server downtime from data service provider

Opportunities:

  • Growing business schemes and plans
  • Growing amount of data across Small and Medium-Sized Enterprises (SMEs)

Challenges:

  • Lack of privacy and security

Global Big Data and Data Engineering Services Market Key Findings:

All the segments have been analysed on global, regional and country basis. The study includes the analysis of more than 30 countries for each segment.

Segmentation Analysis:

The big data and data engineering services market is segmented on the basis of service type, business function, organization size and industry

  • The service type is classified into data modeling, data integration, data quality and analytics. The data integration segment is growing at the highest CAGR 22.4% of in big data and data engineering services market.  This growth is due to rising need for combining data from dissimilar data sources across organizations.
  • Business function is segregated into marketing and sales, finance, operations, human resources and legal.  Marketing and sales segment is expected to dominate the market with the value of USD 6.13 Billion over the forecast period.  The rising need to examine and evaluate the marketing and sales data and restructure the business process across industries is deriving the growth of the market.
  • Organization size is divided into large enterprises, small and medium-sized enterprises. Small and medium-sized enterprises is dominating the market with a share of 56.90% in 2017. The market provides numerous opportunities which include new business proposals and increasing amount of data across Small and Medium-Sized Enterprises (SMEs).
  • The Industry is segmented into banking, financial services and insurance, healthcare and life sciences, retail and ecommerce, manufacturing, media and telecom, government and others. The banking, financial services and insurance segment is dominating the market and valued around USD 6.46 Billion because of rising need to reduce the workload and efficient decision making process..

Regional Segmentation Analysis:

The regions analysed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. North America region dominated the global big data and data engineering services market with USD 10.58 Billion in 2017 where as the Asia Pacific region is growing rapidly in the market.

  • The North America region is dominating the market because of the technological advancements and high implementation of big data and data engineering services in the North America region.
  •  Asia Pacific is the fastest growing region because of the increasing usage of big data technologies, and government policies, such as smart cities in the APAC countries, including China and India.

Global Big Data and Data Engineering Services Market Competitive Analysis:

Key players in the big data and data engineering services market are Accenture, Genpact, Cognizant, Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5 Sigmoid, Nous Infosystems, Bodhtree, Hidden Brains InfoTech, Brillio, Franz Inc., BRIDGEi2i, and Trianz are the leading players of the market. 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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Scope

Key Points

Information

Evaluate Market Potential

Growth Rates (CAGR %)

Value (USD Billion) {Market Size}

USP of Report

Industry and Technology Trends

Market Evolution

Value Chain Analysis

Company Share Analysis

Competitive & Vendor landscape

SWOT Analysis of Each Company

Profit Margin Analysis

Analysis of More than 30 Countries for Each Segment

Base Year

2017

Historical Years

2015-2017

Forecast Period

2018-2025

Regional Analysis

North America, Europe, Asia Pacific, South America, and Middle East and Africa

Countries Analysis

U.S., Canada, Mexico, Germany, France, Sweden, Netherlands, U.K., Italy, Spain, Turkey, Switzerland, Belgium, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Brazil, Saudi Arabia, UAE, Egypt, Nigeria, South Africa

 

This study forecasts revenue and volume growth at global, regional, and country levels from 2015 to 2025. Fior Market Research has segmented the global big data and data engineering services market on the basis of below mentioned segments:

Global Big Data and Data Engineering Services Market, By Service Type:

  • Data Modeling
  • Data Integration
  • Data Quality
  • Analytics

Global Big Data and Data Engineering Services Market, By Business Function:

  • Marketing and Sales
  • Finance
  • Operations
  • Human Resources
  • Legal

Global Big Data and Data Engineering Services Market, By Organization Size:

  • Large Enterprises
  • Small and Medium-Sized Enterprises

Global Big Data and Data Engineering Services Market, By Industry:

  • Banking, Financial Services and Insurance
  • Healthcare and Life Sciences
  • Retail and Ecommerce
  • Manufacturing
  • Media and Telecom
  • Government
  • Others

Global Big Data and Data Engineering Services Market, By Regions:

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • Sweden
  • Netherlands
  • U.K.
  • Italy
  • Spain
  • Turkey
  • Switzerland
  • Belgium
  • Rest of Europe
  • Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Australia
  • Singapore
  • Malaysia
  • Thailand
  • Indonesia
  • Philippines
  • Rest of Asia-Pacific
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Rest of South America
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Egypt
  • Nigeria
  • South Africa
  • Rest of  Middle East and Africa
  1. Introduction
    1. Objectives of the Study
    2. Market Definition
    3. Research Scope
    4. Currency
  2. Research Methodology and Assumptions
  3. Executive Summary
  4. Premium Insights
    1. Porter’s Five Forces Analysis
    2. Value Chain Analysis
    3. Top Investment Pockets
      1. Market attractiveness analysis by Service Type
      2. Market attractiveness analysis by Business Function
      3. Market attractiveness analysis by Organization Size
      4. Market attractiveness analysis by Industry
      5. Market attractiveness analysis by Region
    4. Industry Trends
  5. Market Dynamics
    1. Market Evaluation
    2. Drivers
      1. Increase in amount volume of unstructured data due to significant growth of interconnected devices and social media
      2. Inclination towards tools like customer relation management, enterprise resource planning, E-commerce and supply chain.
      3.  Rising awareness to follow regulations and policies
      4. Increase in demand of deployment in small-/medium-scale businesses.
    3. Restraints
      1. Inefficiency of service providers to provide real-time insights
      2. Problem in server downtime from data service provider
    4. Opportunities
      1. Growing business schemes and plans
      2. Growing amount of data across Small and Medium-Sized Enterprises (SMEs)
    5. Challenges
      1. Lack of privacy and security
  6. Global Big Data and Data Engineering Services Market Analysis and Forecast, By Service Type
    1. Segment Overview
    2. Data Modeling
    3. Data Integration
    4. Data Quality
    5. Analytics
  7. Global Big Data and Data Engineering Services Market Analysis and Forecast, By Business Function
    1. Segment Overview
    2. Marketing and Sales
    3. Finance
    4. Operations
    5. Human Resources
    6. Legal
  8. Global Big Data and Data Engineering Services Market Analysis and Forecast, By Organization Size
    1. Segment Overview
    2. Large Enterprises
    3. Small and Medium-Sized Enterprises
  9. Global Big Data and Data Engineering Services Market Analysis and Forecast, By Industry
    1. Segment Overview
    2. Banking, Financial Services and Insurance
    3. Healthcare and Life Sciences
    4. Retail and Ecommerce
    5. Manufacturing
    6. Media and Telecom
    7. Government
    8. Others
  10. Global Big Data and Data Engineering Services Market Analysis and Forecast, By Regional Analysis
    1. Segment Overview
    2. North America
      1. U.S.
      2. Canada
      3. Mexico
    3. Europe
      1. Germany
      2. France
      3. Sweden
      4. Netherlands
      5. U.K.
      6. Italy
      7. Spain
      8. Turkey
      9. Switzerland
      10. Belgium
      11. Rest of Europe
    4. Asia-Pacific
      1. Japan
      2. China
      3. India
      4. South Korea
      5. Australia
      6. Singapore
      7. Malaysia
      8. Thailand
      9. Indonesia
      10. Philippines
      11. Rest of Asia-Pacific
    5. South America
      1. Brazil
      2. Argentina
      3. Colombia
      4. Rest of South America
    6. Middle East and Africa
      1. Saudi Arabia
      2. UAE
      3. Egypt
      4. Nigeria
      5. South Africa
      6. Rest of  Middle East and Africa
  11. Global Big Data and Data Engineering Services Market-Competitive Landscape
    1. Overview
    2. Market Share of Key Players in the Big Data and Data Engineering Services Market
      1. Global Company Market Share
      2. North America Company Market Share
      3. Europe Company Market Share
      4. APAC Company Market Share
    3. Competitive Situations and Trends
      1. Business Function Launches and Developments
      2. Partnerships, Collaborations, and Agreements
      3. Mergers & Acquisitions
      4. Expansions
  12. Company Profiles
    1. Accenture
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    2. Genpact
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    3. Cognizant
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    4. Infosys
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    5. Capgemini
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    6. NTT DATA
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    7. Mphasis
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    8. L&T Technology Services
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    9. Hexaware
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    10. Happiest Minds
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    11. KPMG
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    12. EY
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    13. Tiger Analytics
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    14. LatentView Analytics
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis
    15. InfoStretch
      1. Business Overview
      2. Company Snapshot
      3. Company Market Share Analysis
      4. Company Business Function Portfolio
      5. Recent Developments
      6. SWOT Analysis

List of Table

  1. Global Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  2. Global Data Modeling Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  3. Global Data Integration Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  4. Global Data Quality Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  5. Global Analytics Big Data and Data Engineering Services Market, Region, 2015–2025 (USD Billion)
  6. Global Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  7. Global Marketing and Sales Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  8. Global Finance Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  9. Global Operations Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  10. Global Human Resources Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  11. Global Legal Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  12. Global Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  13. Global Large Enterprises Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  14. Global Small and Medium-Sized Enterprises Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  15. Global Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  16. Global Banking, Financial Services and Insurance Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  17. Global Healthcare and Life Sciences Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  18. Global Retail and Ecommerce Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  19. Global Manufacturing Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  20. Global Media and Telecom Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  21. Global Big Data and Data Engineering Services Market, By Region, 2015–2025 (USD Billion)
  22. Global Big Data and Data Engineering Services Market, By North America, 2015–2025 (USD Billion)
  23. North America Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  24. North America Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  25. North America Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  26. North America Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  27. U.S. Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  28. U.S. Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  29. U.S. Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  30. U.S. Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  31. Canada Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  32. Canada Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  33. Canada Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  34. Canada Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  35. Mexico Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  36. Mexico Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  37. Mexico Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  38. Mexico Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  39. Europe Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  40. Europe Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  41. Europe Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  42. Europe Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  43. Germany Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  44. Germany Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  45. Germany Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  46. Germany Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  47. France Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  48. France Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  49. France Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  50. France Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  51. Sweden Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  52. Sweden Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  53. Sweden Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  54. Sweden Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  55. Netherlands Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  56. Netherlands Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  57. Netherlands Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  58. Netherlands Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  59. U.K. Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  60. U.K. Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  61. U.K. Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  62. U.K. Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  63. Italy Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  64. Italy Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  65. Italy Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  66. Italy Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  67. Spain Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  68. Spain Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  69. Spain Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  70. Spain Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  71. Turkey Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  72. Turkey Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  73. Turkey Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  74. Turkey Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  75. Switzerland Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  76. Switzerland Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  77. Switzerland Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  78. Switzerland Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  79. Belgium Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  80. Belgium Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  81. Belgium Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  82. Belgium Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  83. Asia Pacific Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  84. Asia Pacific Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  85. Asia Pacific Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  86. Asia Pacific Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  87. Japan Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  88. Japan Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  89. Japan Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  90. Japan Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  91. China Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  92. China Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  93. China Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  94. China Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  95. India Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  96. India Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  97. India Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  98. India Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  99. South Korea Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  100. South Korea Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  101. South Korea Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  102. South Korea Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  103. Australia Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  104. Australia Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  105. Australia Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  106. Australia Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  107. Singapore Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  108. Singapore Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  109. Singapore Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  110. Singapore Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  111. Malaysia Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  112. Malaysia Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  113. Malaysia Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  114. Malaysia Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  115. Thailand Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  116. Thailand Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  117. Thailand Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  118. Thailand Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  119. Indonesia Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  120. Indonesia Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  121. Indonesia Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  122. Indonesia Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  123. Philippines Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  124. Philippines Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  125. Philippines Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  126. Philippines Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  127. South America Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  128. South America Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  129. South America Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  130. South America Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  131. Brazil Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  132. Brazil Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  133. Brazil Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  134. Brazil Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  135. Argentina Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  136. Argentina Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  137. Argentina Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  138. Argentina Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  139. Colombia Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  140. Colombia Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  141. Colombia Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  142. Colombia Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  143. Middle East and Africa Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  144. Middle East and Africa Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  145. Middle East and Africa Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  146. Middle East and Africa Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  147. Saudi Arabia Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  148. Saudi Arabia Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  149. Saudi Arabia Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  150. Saudi Arabia Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  151. UAE Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  152. UAE Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  153. UAE Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  154. UAE Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  155. Egypt Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  156. Egypt Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  157. Egypt Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  158. Egypt Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  159. Nigeria Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  160. Nigeria Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  161. Nigeria Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  162. Nigeria Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)
  163. South Africa Big Data and Data Engineering Services Market, By Service Type, 2015–2025 (USD Billion)
  164. South Africa Big Data and Data Engineering Services Market, By Business Function, 2015–2025 (USD Billion)
  165. South Africa Big Data and Data Engineering Services Market, By Organization Size, 2015–2025 (USD Billion)
  166. South Africa Big Data and Data Engineering Services Market, By Industry, 2015–2025 (USD Billion)

 

List of Figures 

  1. Global Big Data and Data Engineering Services Market Segmentation
  2. Big Data and Data Engineering Services Market: Research Methodology
  3. Market Size Estimation Methodology: Bottom-Up Approach
  4. Market Size Estimation Methodology: Top-Down Approach
  5. Data Triangulation
  6. Porter’s Five Forces Analysis
  7. Value Chain Analysis
  8. Global Big Data and Data Engineering Services Market attractiveness analysis by Service Type
  9. Global Big Data and Data Engineering Services Market attractiveness analysis by Business Function
  10. Global Big Data and Data Engineering Services Market attractiveness analysis by Organization Size
  11. Global Big Data and Data Engineering Services Market attractiveness analysis by Industry
  12. Global Big Data and Data Engineering Services Market attractiveness analysis by Region
  13. Global Big Data and Data Engineering Services Market: Dynamics
  14. Global Big Data and Data Engineering Services Market Share by Service Type (2017 & 2025)
  15. Global Big Data and Data Engineering Services Market Share by Business Function (2017 & 2025)
  16. Global Big Data and Data Engineering Services Market Share by Organization Size (2017 & 2025)
  17. Global Big Data and Data Engineering Services Market Share by Industry (2017 & 2025)
  18. Global Big Data and Data Engineering Services Market Share by Regions (2017 & 2025)
  19. Global Big Data and Data Engineering Services Machine Market Share by Company (2018)

1

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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