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Report overview
The global Big Data and Data Engineering Services market was valued at US$ 58550 million in 2022 and is projected to reach US$ 153260 million by 2029, at a CAGR of 14.7% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Big data is a term used to refer to the study and applications of data sets that are too complex for traditional data-processing application software to adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
This report aims to provide a comprehensive presentation of the global market for Big Data and Data Engineering Services, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data and Data Engineering Services. This report contains market size and forecasts of Big Data and Data Engineering Services in global, including the following market information:
Global Big Data and Data Engineering Services Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global top five companies in 2022 (%)
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Data Modeling Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Big Data and Data Engineering Services include Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant and Infosys, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We has surveyed the Big Data and Data Engineering Services companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Chapter 1: Introduces the definition of Big Data and Data Engineering Services, market overview.
Chapter 2: Global Big Data and Data Engineering Services market size in revenue.
Chapter 3: Detailed analysis of Big Data and Data Engineering Services company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Big Data and Data Engineering Services in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
