Global Big Data and Data Engineering Services Market Overview:
Over the past few years, the increasing need for analyzing huge scales of data, data engineering services have come into view with data science Data has become the fuel for organizations to deliver precise business choices at lightning speed. Big data and data engineering services deal with preparing and managing data for business analysis. The data engineers are responsible for all data analytics and handle facts that later used by data scientists to turn into AI models, by managing, finding, establishing, organization data. In addition, it offers services such as reviewing data, analyzing data, cleaning, processing, transforming data into usable formats for model development. According to the research through the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, pouring a 5X add to in streaming data and analytics infrastructures. Digital transformation projects in a proposal to transform their conventional organizations into an information-driven marvel Are booming the demand for big data and data engineering services demand in the market.
- The increasing unstructured data volume due to the phenomenal is a key driving factor is booming the market growth
- Growing Need for Adhering to Regulatory and Compliance Requirements
- The emergence of analytics technologies like machine learning (ML) and technologies to improve your AI and ML initiatives is in demand
- Privacy and Security Concerns
- Increasing data volume in small and medium-sized enterprises and companies become increasingly modern in their utilization of information is booming the data engineering as it will turn into a greater need and more individuals are creating the opportunities of growth.
- The complexity of maintaining Data pipeline
- Lack Of Ability Of Service Providers To Provide Real-Time Insights May Limit
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.
Some of the key players profiled in the report are L&T Technology Services (India), BRIDGEi2i (India), Trianz (United States), KPMG (Netherlands), Hidden Brains InfoTech (India), EY (United Kingdom), Tiger Analytics (United States), Accenture (Ireland), Infosystems (India), Capgemini (France) and Cognizant (United States). Additionally, following companies can also be profiled that are part of our coverage like Brillio (United States), Franz Inc. (United States) and Bodhtree (United States). Analyst at AdvanceMarketAnalytics see United States Players to retain maximum share of Global Big Data and Data Engineering Services market by 2025. Considering Market by Organization Size, the sub-segment i.e. Small and Medium-sized Enterprises (SMEs) will boost the Big Data and Data Engineering Services market. Considering Market by Service , the sub-segment i.e. Data modeling will boost the Big Data and Data Engineering Services market. Considering Market by Business Function, the sub-segment i.e. Marketing and sales will boost the Big Data and Data Engineering Services market.
On August 2020 Ireland based company Accenture announced their acquisition with Byte Prophecy to Enhance Digital Analytics Capabilities and AI in Emerging Markets. This acquisition will help to speed up and agility of delivering advanced analytics and AI solutions to Organizations.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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The top-down and bottom-up approaches are used to estimate and validate the size of the Global Big Data and Data Engineering Services market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Big Data and Data Engineering Services market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Big Data and Data Engineering Services Providers, Big Data and Data Engineering Services Solution vendors, Original Equipment Manufacturers (OEMs), System integrators, Advisory firms, National regulatory authorities, Venture capitalists, Private equity groups, Investment houses and Equity research firms.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.