\ Big Data & Data Engineering Services - Worldwide Market Analysis & Forecast 2018-2023
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Big Data & Data Engineering Services - Worldwide Market Analysis & Forecast 2018-2023

 

September 14, 2018 --

DUBLIN, Sept. 14, 2018 /PRNewswire/ --

The "Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), Organization Size, Industry, and Region - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.

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The big data and data engineering services market is expected to grow from USD 34.47 billion in 2018 to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period.



Major growth drivers for the market include increasing volumes of unstructured data due to phenomenal growth of interconnected devices and social media, cost-effective services and cutting-edge expertise rendered by boutique data servicing companies, and an increasing need for complying with stringent regulations.

The big data and data engineering services market faces challenges, such as data diversity and privacy and security concerns. Inability of service providers to provide real-time insights may limit the market growth.

In the big data and data engineering services market by service type, the data integration services segment is expected to grow at the highest CAGR during the forecast period. The major growth driver is an increasing need for integrating data from disparate data sources across organizations.

The Banking, Financial Services, and Insurance (BFSI) industry is estimated to hold the largest size of the market in 2018. Major growth drivers are the growing need to simplify the workload related to security and the increasing dependence on workers, for monitoring every financial transaction. The retail and eCommerce industry is expected to grow at the highest CAGR during the forecast period, due to the increasing need to store and manage data from various customers and retailers across retail and eCommerce organizations.

Major business functions in the big data and data engineering services market include the marketing and sales, operations, finance, and Human Resources (HR). The adoption of big data and data engineering services for marketing and sales is expected to grow significantly, because of an increasing need to monitor and analyze the marketing and sales data and streamline the business process across industries.

The global big data and data engineering services market by region covers North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA). North America, followed by Europe, is expected to continue as the largest revenue-generating region for big data and data engineering services vendors, as the US and Canada have a high focus on innovations through Research and Development (R&D) and technologies. APAC is expected to be the fastest-growing region in the market, owing to the increasing adoption of big data technologies and various other government initiatives, such as smart cities across major APAC countries, including China and India.

Major vendors have adopted many types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships, collaborations, agreements, and acquisitions, to expand their offerings in the big data and data engineering services market.

Key Topics Covered

1 Introduction

2 Research Methodology

2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Research Assumptions
2.4 Limitations

3 Executive Summary

4 Premium Insights

4.1 Attractive Opportunities in the Big Data and Data Engineering Services Market
4.2 Market Share, By Region
4.3 Market Top 4 Service Types and Regions

5 Market Overview

5.1 Introduction
5.1.1 Drivers
5.1.1.1 Increasing Volume of Unstructured Data, Due to the Phenomenal Growth of Interconnected Devices and Social Media
5.1.1.2 Cost-Effective Services and Cutting-Edge Expertise Rendered By Data Servicing Companies
5.1.1.3 Rising Need for Adhering to Regulatory and Compliance Requirements
5.1.2 Restraints
5.1.2.1 Inability of Service Providers to Provide Real-Time Insights
5.1.3 Opportunities
5.1.3.1 New Business Propositions
5.1.3.2 Increasing Volume of Data Across Small and Medium-Sized Enterprises (SMEs)
5.1.4 Challenges
5.1.4.1 Data Diversity
5.1.4.2 Privacy and Security Concerns
5.2 Prevailing Regulations for Privacy and Security of Data
5.2.1 Health Insurance Portability and Accountability Act (HIPAA) of 1996
5.2.2 Health Information Technology for Economic and Clinical Health (HITECH) Act
5.2.3 Sarbanes-Oxley Act of 2002
5.2.4 European Market Infrastructure Regulation (EMIR)
5.2.5 EU General Data Protection Regulation (GDPr)
5.3 Big Data and Data Engineering Services: Use Cases
5.3.1 Use Case #1: Increase Customer Base and Improve Loyalty
5.3.2 Use Case #2: Improve Decision-Making and Data Science Capacity
5.3.3 Use Case #3: Big Data Integration and Governance
5.3.4 Use Case #4: Develop Data Reservoir
5.3.5 Use Case #5: Develop Data Lakes
5.3.6 Use Case #6: Data Analytics Strategic Evaluation
5.3.7 Use Case #7: Data Integration and Consumption for A Logistics Conglomerate
5.3.8 Use Case #8: Identifying Optimal Treatment Plans for Individual Patients

6 Big Data and Data Engineering Services Market, By Service Type

6.1 Introduction
6.2 Data Modeling
6.3 Data Integration
6.4 Data Quality
6.5 Analytics

7 Market By Business Function

7.1 Introduction
7.2 Marketing and Sales
7.3 Finance
7.4 Operations
7.5 Human Resources and Legal

8 Big Data and Data Engineering Services Market, By Organization Size

8.1 Introduction
8.2 Large Enterprises
8.3 Small and Medium-Sized Enterprises

9 Market By Industry

9.1 Introduction
9.2 Banking, Financial Services, and Insurance
9.3 Healthcare and Life Sciences
9.4 Retail and Ecommerce
9.5 Manufacturing
9.6 Media and Telecom
9.7 Government
9.8 Others

10 Big Data and Data Engineering Services Market, By Region

10.1 Introduction
10.2 North America
10.2.1 By Country
10.2.1.1 United States
10.2.1.1.1 By Organization Size
10.2.1.2 Canada
10.2.1.2.1 By Organization Size
10.2.2 By Service Type
10.2.3 By Business Function
10.2.4 By Organization Size
10.2.5 By Industry
10.3 Europe
10.3.1 By Country
10.3.1.1 United Kingdom
10.3.1.1.1 By Organization Size
10.3.1.2 Germany
10.3.1.2.1 By Organization Size
10.3.1.3 France
10.3.1.3.1 By Organization Size
10.3.1.4 Rest of Europe
10.3.1.4.1 By Organization Size
10.3.2 By Service Type
10.3.3 By Business Function
10.3.4 By Organization Size
10.3.5 By Industry
10.4 Asia Pacific
10.4.1 By Country
10.4.1.1 Japan
10.4.1.1.1 By Organization Size
10.4.1.2 China
10.4.1.2.1 By Organization Size
10.4.1.3 Australia
10.4.1.3.1 By Organization Size
10.4.1.4 India
10.4.1.4.1 By Organization Size
10.4.1.5 Rest of Asia Pacific
10.4.1.5.1 By Organization Size
10.4.2 By Service Type
10.4.3 By Business Function
10.4.4 By Organization Size
10.4.5 By Industry
10.5 Latin America
10.5.1 By Country
10.5.1.1 Brazil
10.5.1.1.1 By Organization Size
10.5.1.2 Mexico
10.5.1.2.1 By Organization Size
10.5.1.3 Rest of Latin America
10.5.1.3.1 By Organization Size
10.5.2 By Service Type
10.5.3 By Business Function
10.5.4 By Organization Size
10.5.5 By Industry
10.6 Middle East and Africa
10.6.1 By Sub-Region
10.6.1.1 Middle East
10.6.1.1.1 By Organization Size
10.6.1.2 Africa
10.6.1.2.1 By Organization Size
10.6.2 By Service Type
10.6.3 By Business Function
10.6.4 By Organization Size
10.6.5 By Industry

11 Competitive Landscape

11.1 Overview
11.2 Competitive Scenario
11.2.1 New Product Launches and Product Upgradations
11.2.2 Partnerships and Strategic Alliances
11.2.3 Acquisitions
11.2.4 Business Expansions
11.3 Big Data and Data Engineering Services Market: Prominent Players

12 Company Profiles

12.1 Accenture
12.2 Genpact
12.3 Cognizant
12.4 Infosys
12.5 Capgemini
12.6 NTT Data
12.7 Mphasis
12.8 L&T Technology Services
12.9 Hexaware
12.10 Happiest Minds
12.11 Kpmg
12.12 Ey
12.13 Tiger Analytics
12.14 Latentview Analytics
12.15 Infostretch
12.16 Vensai Technologies
12.17 Course5
12.18 Sigmoid
12.19 Nous Infosystems
12.20 Bodhtree
12.21 Hidden Brains Infotech
12.22 Brillio
12.23 Bridgei2i
12.24 Franz, Inc.
12.25 Trianz

For more information about this reportvisit https://www.researchandmarkets.com/research/frm29n/big_data_and_data?w=5

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