The global Big Data And Data Engineering Services market is expected to develop US $ 147.98 Bn by 2027, at a compound annual increase in price (CAGR) of 17.6% throughout the forecast period.

The demand for big data and data engineering services is rising rapidly in the past few years. Most of the businesses nowadays are predominantly driven by increased competition, consumerization, and data explosion. The scalability and complexity of disparate data pose a challenge for traditional database and analytics technologies. Thus, real-time managing and processing of big data, over the cloud, has become the norm. Disruptive technologies that reinforce SMAC (social, mobile, analytics, and cloud) are promoting new business scenarios, which enable the best use of data.

The aim of the report is to estimate the size of the market for big data and data engineering services and the future growth potential of the market for big data and data engineering services across various segments, such as type, business functions, and industry verticals.

The base year considered for the analysis is 2019 and from 2020 to 2028 the market size is estimated. Factors such as advancement in technology in the Asia-Pacific region, smartphone generation, the growing rate of the internet, coupled with an ever-increasing urbanization development in algorithm development and machine learning, are the key drivers of the big data and data engineering services market in the coming years.

Enterprises use big data & data engineering services to consolidate and restructure their business practices by evaluating and procuring massive volumes of data. It is useful in gaining insights and enhances the decision-making process. However, complexity in insights extraction and lack of skilled workforce and are the factors limiting the growth of big data and data engineering services industry. Moreover, a disconnection between the consumers and businesses gives rise to security and privacy and security issues, thereby posing challenges for the big data and data engineering services industry. Integration of artificial intelligence (AI), Internet of Things (IoT), and blockchain with big data is likely to act as a potential for this industry.

Key Segments of the Global Big Data And Data Engineering Services Market

Type Overview, 2018-2028 (USD Million)

• Data Modelling
• Data Integration
• Data Quality
• Analytics

Business Function Method, 2018-2028 (USD Million)

• Marketing and Sales
• Finance
• Operations
• Human Resource

Vertical 2018-2028 (USD Million)

• BFSI
• Government
• Media and Telecommunication
• Retail
• Manufacturing
• Healthcare
• Others

Regional Overview, 2018-2028 (USD Million)

North America

• U.S.
• Canada

Europe

• UK
• Germany
• France
• Rest of Europe

Asia Pacific

• China
• Japan
• India
• Rest of Asia-Pacific

Middle East and Africa

• UAE
• South Africa
• Rest of Middle East and Africa

South America

• Brazil
• Rest of South America

Important Companies in the Global big data and data engineering services market

• Accenture
• Capgemini
• Cognizant
• Genpact
• Happiest Minds
• Hexaware
• Infosys
• KPMG
• L&T Technology Services
• Mphasis
• NTT DATA

Reasons for the study

• The purpose of the study is to give an exhaustive outlook of big data and data engineering services Market Benchmark yourself against the rest of the market.
• Ensure you remain competitive as innovations by existing key players to boost the market.

What does the report include?

• The study on Big Data And Data Engineering Services Market includes qualitative factors such as drivers, restraints, and opportunities
• The study covers the competitive landscape of existing/prospective players in the field service management industry and their strategic initiatives for the product development
• The study covers a qualitative and quantitative analysis of the market segmented based on type, business functions, and industry vertical. Moreover, the study provides similar information for the key geographies.
• Actual market sizes and forecasts have been provided for all the above-mentioned segments.

Who should buy this report?

• This study is suitable for industry participants and stakeholders in the global Big Data And Data Engineering Services Market. The report will benefit: Every stakeholder involved in the Big Data And Data Engineering Services Market.
• Managers within the field service management industry looking to publish recent and forecasted statistics about Big Data And Data Engineering Services Market.
• Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of global Big Data And Data Engineering Services Market.
• Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.