Richmond, Dec. 19, 2023 (GLOBE NEWSWIRE) -- According to a research report "DataOps Platform Market”, by Component (Platform (Data Integration, Data Quality, Data Governance, Master Data Management, Data Analytics, Automation, Collaboration, Data Visualization, Others), Services (Consulting Services, Deployment & integration, Training, support & maintenance services)), Deployment Mode (On-Premise and Cloud-based), End-use Industry (BFSI, Healthcare & life sciences, Retail & eCommerce, Manufacturing, Government and Defense, Telecommunications, Transportation, and Logistics, IT & ITeS, Media and Entertainment, Others), and Region - Global Forecast to 2030.
Global DataOps Platform Market Report Scope:
| Report | Details |
| Market size value in 2023 | USD 3.7 Billion |
| Market size value in 2030 | USD 16.2 Billion |
| CAGR (2023-2030) | 23.5% |
| Forecast Period | 2023–2030 |
| Historic Data | 2019 |
| Forecast Units | Value (USD Million/USD Billion) |
| Segments Covered | Services, Component, End User and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and RoW |
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| Sample of Companies Covered |
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TOC Covers in Depth & Breath on DataOps Platform Market
170 - Market Data Tables
65 - List of Figures
225 – Pages
The report includes Vendor Assessment (Company Profiles, Market Positioning, Strategies, Recent Developments, Capabilities & Product Offerings / Mapping), Technology Assessment (Developments & Economic Impact), Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional FootPrint by MarketDigits.
Market Overview
A DataOps Platform is a comprehensive solution that integrates data engineering, integration, and quality practices to streamline the end-to-end data lifecycle. It enables collaboration among stakeholders, enhancing data quality, accelerating insights, and fostering agility in response to changing business needs, ultimately optimizing data workflows in a cohesive and efficient manner. The DataOps Platform Market is witnessing robust growth as organizations increasingly recognize the strategic importance of efficient data management. DataOps, a methodology that integrates data engineering, integration, and quality practices to streamline the data lifecycle, is driving the demand for comprehensive platforms.
Key market drivers include the escalating volumes of data, the need for real-time analytics, and the growing complexity of data ecosystems. Companies are adopting DataOps platforms to enhance collaboration between data engineers, data scientists, and other stakeholders, resulting in improved data quality, faster insights, and agility in responding to changing business requirements. Major players in the DataOps Platform Market are offering solutions that encompass data integration, orchestration, version control, and automation to facilitate a seamless and collaborative data workflow. Cloud-based DataOps solutions are gaining prominence, allowing organizations to leverage scalable and flexible infrastructure. As the DataOps Platform Market continues to evolve, it is expected to witness sustained growth driven by the digital transformation initiatives of enterprises seeking to harness the full potential of their data assets in an increasingly data-centric business landscape.
Major Vendors in the Global Dataops Platform Market:
- Microsoft
- IBM
- Oracle
- AWS (Amazon Web Services)
- Informatica
- Teradata
- Wipro
- Accenture
- SAS Institute
- Hitachi Vantara
- DataKitchen
- Atlan
- Dataiku
- Fosfor
- Databricks
- StreamSets
- Talend
- Collibra
- Celonis
- BMC Software
- Saagie
- Composable Analytics
- Tengu.io
- Unravel Data
- Monte Carlo Data
- Census
- RightData
- Zaloni
- Datafold
- DataOps.live
- K2view
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Increased data complexity and accelerating data volumes
The DataOps Platform market is experiencing a significant boost driven by increased data complexity and the accelerating volumes of data in today's digital landscape. As organizations grapple with a deluge of diverse data sources, ranging from structured to unstructured and streaming data, the complexity of managing and extracting meaningful insights has surged. This complexity necessitates a more streamlined and collaborative approach to data management, and DataOps Platforms are emerging as a crucial solution. DataOps Platforms offer a comprehensive framework to address the challenges posed by intricate data ecosystems. These platforms integrate data engineering, integration, and quality practices, fostering a cohesive and efficient data lifecycle. By providing tools for data version control, orchestration, and automation, DataOps Platforms enable organizations to navigate the complexities of data with agility and precision. The need for real-time insights further amplifies the significance of these platforms, as they empower businesses to adapt to rapidly changing data environments and make informed decisions in a timely manner.
Market Dynamics
Drivers:
- Increased data complexity and accelerating data volumes
- Growing emphasis on data-driven insights
Opportunities:
- Need to bridge gap between data engineers and data analysts
- Growing adoption of Artificial Intelligence (AI) and Machine Learning (ML)
Surge in demand for cloud solutions
The surge in demand for cloud solutions presents a significant opportunity for the DataOps Platform market. Organizations are increasingly recognizing the scalability, flexibility, and cost-effectiveness offered by cloud infrastructure for managing their data operations. Cloud-based DataOps platforms provide a compelling solution, allowing businesses to seamlessly integrate, process, and analyze data across distributed environments. This trend is driven by the need for agile and collaborative data workflows that can adapt to dynamic business requirements. Cloud-based DataOps solutions empower enterprises to leverage scalable resources, ensuring optimal performance and efficient utilization of computing resources. Additionally, they facilitate quicker deployment, updates, and accessibility, enhancing overall operational efficiency. As businesses continue their digital transformation journey, the cloud's inherent advantages align closely with the objectives of DataOps methodologies. The ability to scale resources based on demand, coupled with the ease of collaboration and real-time data processing, positions cloud-based DataOps platforms as a strategic enabler for organizations seeking to harness the full potential of their data assets. This intersection of cloud adoption and DataOps reflects a symbiotic relationship, where the scalability and agility of the cloud further amplify the benefits of streamlined and collaborative data management. As a result, the DataOps Platform market stands poised to capitalize on the growing demand for cloud-centric solutions in the evolving landscape of modern data management.
The market for DataOps Platform is dominated by North America.
North America indeed stands out as the dominating region in the DataOps Platform market, further substantiated by its robust adoption driven by a flourishing technology industry and a resolute commitment to innovation and digital transformation. The United States, in particular, leads the charge in the adoption of DataOps platforms, benefiting from the presence of numerous globally renowned technology companies that are actively integrating these solutions into their operations. The region's proactive embrace of DataOps is underlined by a steadfast emphasis on innovation, aligning closely with the evolving landscape of digital transformation. The United States and Canada, as major players in North America, showcase a notable surge in the integration of DataOps methodologies, propelled by the imperative to navigate complex data environments efficiently. This heightened adoption is indicative of the region's strategic recognition of the pivotal role DataOps platforms play in optimizing data workflows, enhancing collaboration, and ensuring the agility needed to respond to dynamic business demands. As North America continues to lead in technological advancements, the DataOps Platform market is likely to flourish further, cementing the region's position as a frontrunner in the global landscape of efficient and collaborative data management.
The Cloud Segment is Anticipated to Hold the Largest Market Share During the Forecast Period
Based on deployment mode the DataOps platform market is segmented into on-premise and cloud-based. Cloud deployment mode has emerged as a dominating segment in the DataOps Platform market, reflecting a transformative shift in how organizations approach data management. As businesses increasingly migrate towards cloud computing, the adoption of cloud-based DataOps solutions has witnessed a substantial surge. The cloud deployment model offers unparalleled advantages, including scalability, flexibility, and cost-effectiveness. Organizations can leverage cloud infrastructure to seamlessly integrate, process, and analyze vast and diverse datasets, optimizing their data workflows. The appeal of cloud-based DataOps platforms lies in their ability to provide on-demand access to computing resources, allowing businesses to scale their operations based on fluctuating data volumes and processing needs. This scalability ensures optimal performance and efficient resource utilization, aligning with the dynamic nature of today's data-centric environments. Additionally, cloud deployments facilitate quicker implementation, updates, and accessibility, fostering an environment conducive to agile and collaborative data workflows.
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