The North America DataOps Platform Market would witness market growth of 19.7% CAGR during the forecast period (2023-2030).
DataOps combines agile approaches, automation, and cooperation among data experts. The DataOps platform has been designed to enhance communication, integration, and automation of the flow of data between data producers and data consumers. This is a significant deviation from the conventional approach that DevOps takes. The next generation of data operations platforms will have increased levels of automation, capabilities driven by artificial intelligence, and enhanced integration with cutting-edge technologies such as cloud and edge computing. As a result, the market will experience a rise in demand for secure, scalable, and agile DataOps solutions to enhance data-driven decision-making and speed up digital transformation activities across industries.
These platforms provide essential tools and processes to extract useful insights and reveal the full value of data assets as enterprises continuously generate and amass massive volumes of data. Through centralized data management, the DataOps platform equips teams with the knowledge and tools they need to manage crucial business operations efficiently. This helps them understand the need to break down data silos. This new paradigm aims to balance encouraging creativity and maintaining control over the data pipeline. DataOps systems enable enterprises to use data as a strategic asset while guaranteeing that data integrity and security are upheld without compromise by balancing innovation with control.
The United States holds one-third of the $5 trillion global information technology (IT) sector, making it the world's largest tech industry. The sector is responsible for $1.9 trillion in value-added U.S. gross domestic product (over 10 percent of the national economy). In the United States, there are more than 557,000 software and IT services companies (approximately 13,400 tech firms were founded in 2019 alone). In addition, there are software publishers, custom computer programming services providers, computer systems design firms, and facilities management corporations within the technology sector. Hence, the robust presence of the ICT sector is anticipated to generate enormous volumes of data, which may necessitate the DataOps platform for data management to improve quality, efficiency, and business value through data-related activities, thereby contributing to the growth of the regional market.
The US market dominated the North America DataOps Platform Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $3,560.9 million by 2030. The Canada market is poised to grow at a CAGR of 22.4% during (2023 - 2030). Additionally, The Mexico market would witness a CAGR of 21.4% during (2023 - 2030).
Based on Deployment, the market is segmented into Cloud (Public Cloud, Private Cloud and Hybrid Cloud) and On-premise. Based on Service Model, the market is segmented into Agile Development, DevOps and Lean Manufacturing. Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & Telecommunication, Retail, Media & Entertainment, Healthcare & Dental, Energy & Utilities, Manufacturing, Government and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
Free Valuable Insights: The Worldwide DataOps Platform Market is Projected to reach USD 14.6 Billion by 2030, at a CAGR of 21.2%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, Oracle Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Informatica, LLC, Teradata Corporation, Wipro Limited, Accenture PLC, SAS Institute, Inc. and Hitachi Vantara LLC (Hitachi Ltd.)
By Deployment
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