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DataOps Platform Market Growth, Opportunities Business Scenario, Share, Growth Size, Scope, Key Segments and Forecast to 2028

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DataOps Platform Market Growth, Opportunities Business Scenario, Share, Growth Size, Scope, Key Segments and Forecast to 2028

June 06
19:40 2023
DataOps Platform Market Growth, Opportunities Business Scenario, Share, Growth Size, Scope, Key Segments and Forecast to 2028
Microsoft (US), IBM (US), Oracle (US), AWS (US), Informatica (US), Teradata (US), Wipro (India), Accenture (Ireland), SAS Institute (US), Hitachi Vantara (US), DataKitchen (US), Atlan (Singapore), Dataiku (US), Fosfor (India), Databricks (US), StreamSets (US), Talend (US), Collibra (US), Celonis (US), BMC Software (US), Saagie (France), Composable Analytics (US).
DataOps Platform Market by Offering (Platform and Services), Type (Agile Development, DevOps, and Lean Manufacturing), Deployment Mode, Vertical (BFSI, Telecommunications, and Healthcare & Life Sciences) and Region – Global Forecast to 2028

The DataOps platform market is estimated to grow from USD 3.9 billion in 2023 to USD 10.9 billion by 2028, at a CAGR of 23.0% during the forecast period.  DataOps platform is a holistic approach to data management that goes beyond technology and aims to combine agile methodologies, automation, and collaboration across data professionals to improve the quality, speed, and business value of data-related activities. The DataOps platform is a transformational shift from traditional DevOps that aims to enhance communication, integration, and automation of data flow between data providers and consumers.

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Healthcare & Life Sciences segment to account for higher CAGR during the forecast period

The market for DataOps Platform is bifurcated into BFSI, IT and ITeS, Retail & eCommerce, Healthcare & Life Sciences, Manufacturing, Government & Defense, Telecommunications, Transportation & Logistics, Media & Entertainment and Other verticals. The adoption of DataOps platforms has significantly transformed the healthcare & life sciences industry by facilitating streamlined data analytics and improving the accuracy of medical treatments. The platform offers an excellent opportunity to aggregate and analyze large volumes of complex and diverse healthcare data. By leveraging the power of machine learning and artificial intelligence, DataOps platforms enable healthcare professionals to provide more personalized and efficient healthcare services. These platforms provide real-time data insights that help healthcare professionals identify disease patterns, make early diagnoses, and prescribe the most effective treatment plans for their patients. As a result, the healthcare industry is witnessing a paradigm shift, with DataOps platforms being at the forefront of this transformation. During the forecast period, the Healthcare & Life Sciences segment is anticipated to grow at the highest CAGR.

Cloud segment to grow at the highest CAGR during the forecast period

The market for DataOps Platform is bifurcated based on deployment mode into Cloud and On-premises.  The adoption of cloud deployment offers enhanced flexibility and accessibility, enabling users to access the DataOps platform from anywhere with an internet connection. This increased accessibility empowers businesses to leverage the platform’s capabilities without limitations of physical location. Additionally, cloud deployment expedites the implementation and deployment process of DataOps platforms by eliminating the requirement for businesses to establish and configure their own hardware and infrastructure. This streamlined approach saves valuable time and reduces the time to value, enabling businesses to swiftly extract insights and make data-driven decisions. Embracing cloud deployment allows organizations to harness the full potential of their data assets swiftly and efficiently, providing them with a competitive edge in the dynamic business landscape. During the forecast period, the cloud segment is expected to grow at the highest CAGR.

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Key players operating in the DataOps platform market across the globe are Microsoft (US), IBM (US), Oracle (US), AWS (US), Informatica (US), Teradata (US), Wipro (India), Accenture (Ireland), SAS Institute (US), Hitachi Vantara (US), DataKitchen (US),  Atlan (Singapore), Dataiku (US), Fosfor (India), Databricks (US), StreamSets (US), Talend (US), Collibra (US), Celonis (US),  BMC Software (US), Saagie (France), Composable Analytics (US), Tengu.io (Belgium), Unravel Data (US), Monte Carlo Data (US), Census (US), RightData (US), Zaloni (US), Datafold (US), DataOps.live (UK), and K2view (Israel). These DataOps platform vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global market.

IBM is a multinational corporation that provides integrated business solutions that combine the understanding of business processes with information technology. It operates through the following segments: cloud & cognitive software, global business services, global technology services, systems, and global financing. It has a wide range of portfolios, such as analytics cloud platform, blockchain platform, Watson IoT platform, and Watson Customer Engagement solution. It offers industry solutions, system services, IT infrastructure, resiliency services, and financing. The company offers its solutions and services to various industry verticals, including IT, healthcare and life sciences, government, telecom, automobile, manufacturing, fast-moving consumer goods, chemicals and petroleum, electronics, energy and power, media and entertainment, mining, retail, BFSI, travel and transportation, and education. The company is in more than 175 countries in North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America.

Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. The company has been continually expanding its services to support virtually any workload. It has more than 200 fully featured services for computing, storage, databases, networking, analytics, machine learning, artificial intelligence, Internet of Things, mobile, security, hybrid, virtual and augmented reality, media, and application development, deployment, and management from 99 Availability Zones within 31 geographic regions. AWS had also announced plans for 15 more Availability Zones and five more AWS Regions in Canada, Israel, Malaysia, New Zealand, and Thailand. Millions of customers across the globe trust AWS, including the fastest-growing startups, largest enterprises, and leading government agencies, to power their infrastructure, become more agile, and lower costs. AWS established itself as a globally recognized brand in cloud services. The company has added advanced AI and ML solutions to strengthen its presence in the AI marketplace. It provides a comprehensive and highly scalable set of data management and analytics services, making it a strong player in the DataOps market.

DataKitchen offers a comprehensive enterprise DataOps Platform, allowing businesses to effectively deploy and manage a complete DataOps program using technologies they already have. The Platform acts as a command centre for data operations programs. It simplifies complex toolchains, environments, and teams to enable the entire data analytics organization to innovate rapidly, communicate easily, and provide the kind of error-free, on-demand information that results in a steady stream of successful business decisions. The company intended to offer the software, service, and knowledge that allow every data and analytics team to realize their full potential with DataOps platform. DataKitchen and the DataKitchen DataOps Platform ensure that data professionals from all backgrounds no longer feel demoralized and helpless by unsuccessful or agonizingly slow projects but are inspired and thrilled by their capacity to provide high-quality, on-demand insight.

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