The Global DataOps Platform Market size is expected to reach $14.6 billion by 2030, rising at a market growth of 21.2% CAGR during the forecast period.
Asia Pacific region is the most promising region for DataOps platforms due to several causes, including the exponential expansion of big data, the popularity of cloud computing, and the development of artificial intelligence. Hence, Asia Pacific acquired $892.1 million revenue in the market in 2022. In addition, businesses are looking for automated solutions to manage their data effectively due to the unprecedented growth in data volumes to cut costs, enhance operational efficiency, and improve data quality. In the Asia Pacific region, the DataOps platform business environment is broad and continuously changing. It includes a wide range of technology manufacturers, service providers, and consulting companies that offer enterprises complete end-to-end data management solutions.
The major strategies followed by the market participants are Product Launches as the key developmental strategy in order to keep pace with the changing demands of end users. For instance, In May 2023, IBM announced the launch of the Watsonx Platform, a data platform used for increasing the effect of AI and features IBM Watsonx.ai used for testing and deploying new AI capabilities, IBM Watsonx.data, a data store used for governed data, and IBM Watsonx.governance, an AI-powered workflow enabler. Additionally, In May 2023, Hitachi Vantara announced the launch of Data Reliability Engineering (DRE), a collection of services used for enhancing the uniformity and quality of important business data. It features metadata engineering, data cost optimization, AI-powered automation, and data lineage for providing complete transparency and reliability throughout the data lifecycle.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the major forerunner in the Market. In October 2022, Microsoft announced the launch of ArcBox for DataOps. ArcBox for DataOps is a data-based service used for the automation of deployment of different business operations. The service features Azure Infrastructure and integrations and three Kubernetes clusters. Companies such as Hitachi Vantara LLC, Accenture PLC, Oracle Corporation are some of the key innovators in the Market.
Organizations have to cope with ever-increasing amounts of data from many sources, in structured and unstructured formats, as well as real-time data streams. The quantity, velocity, and diversity of data frequently make it difficult for traditional data management techniques to keep up, which causes inefficiencies, mistakes, and delays in data processing and analysis. Organizations may integrate, process, and analyze data effectively with the help of DataOps platforms, which provide the required tools and technology to handle this complexity. Platforms for data operations can enable both batch processing and real-time data streaming. These factors are fueling the growth of the market.
Despite the fact that cloud-native DataOps is still a relatively new development in the market for DataOps platforms, it is quickly overtaking other approaches as more companies look to modernize their data operations. Creating and deploying data pipelines and processes on cloud computing platforms is the foundation of this strategy. One of the main advantages of cloud-native DataOps is scalability. Cloud technology enables quick resource expansion, so organizations can manage large volumes of data without worrying about infrastructure restrictions. This is anticipated to promote the use of the DataOps platform by different end users, propelling the market expansion.
The need for more highly competent professionals is one of the most significant obstacles in the market. DataOps platforms necessitate data science, data engineering, software development, and operations experts. However, there is a talent gap due to a severe shortage of professionals with these specific skills. As a result, organizations are having trouble locating qualified candidates to design, implement, and maintain DataOps platforms. In addition, the rapid velocity of technological development is exacerbating this talent gap. As a result, existing team members may require additional or retraining to acclimate to the DataOps methodology.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Product Launches and Product Expansions.
Based on component, the market is segmented into platform and services. The platform segment dominated the market with maximum revenue share in 2022. The segment growth is due to its usage to address issues with inefficient data production and processing and poor data quality brought on by mistakes and inconsistencies. It gives everyone in the supply chain access to agile software for data curation, governance, management, and provisioning that is integrated and optimized throughout the full data lifetime.
On the basis of service model, the market is divided into agile development, DevOps and lean manufacturing. The DevOps segment procured a substantial revenue share in the market in 2022. This is because DataOps uses DevOps tools to convert data insights into outputs for production. In addition, real-time monitoring is a feature of these technologies that aid in optimizing the data pipelines. Moreover, the DevOps principles aid in smoothly implementing the inputs supplied by the user and business teams. Thus, such features of the DevOps are anticipated to surge the segment's expansion in the projected period.
By deployment, the market is classified into cloud and on-premise. The cloud segment witnessed the largest revenue share in the market in 2022. The segment's growth results from the adoption of cloud deployment, which allows customers to access the DataOps platform from any location with an internet connection, increasing flexibility and accessibility. Businesses may now take advantage of the platform's capabilities without being constrained by physical location owing to the improved accessibility.
Under the cloud type, the market is divided into public cloud, private cloud, and hybrid cloud. The public cloud segment led the market with maximum revenue share in 2022. This is because the most prevalent form of cloud computing deployment is public clouds. The provider owns and manages the hardware, software, and other supporting infrastructure with a public cloud. With the public cloud, users only pay for their services and don't need to buy hardware or software. No maintenance is required with the public cloud. In addition, on-demand resources are available to match business needs, providing nearly infinite scalability.
Based on the vertical, the market is bifurcated into BFSI, healthcare & dental, retail, manufacturing, government, IT & telecommunications, energy & utilities, media & entertainment and others. The IT & telecommunication segment recorded a significant revenue share in the market in 2022. This is because fast and secure access to data is essential to provide exceptional, differentiating consumer experiences while operating at a large scale. In addition, telecom operators can supply enterprise data safely and effectively for projects like cloud migration while safeguarding private customer data by implementing a DevOps data platform.
| Report Attribute | Details |
|---|---|
| Market size value in 2022 | USD 3.2 Billion |
| Market size forecast in 2030 | USD 14.6 Billion |
| Base Year | 2022 |
| Historical Period | 2019 to 2021 |
| Forecast Period | 2023 to 2030 |
| Revenue Growth Rate | CAGR of 21.2% from 2023 to 2030 |
| Number of Pages | 347 |
| Number of Table | 573 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Market Share Analysis, Companies Strategic Developments, Company Profiling |
| Segments covered | Component, Deployment, Service Model, Vertical, Region |
| Country scope | US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria |
| Growth Drivers |
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| Restraints |
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Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region led the market by generating the maximum revenue share in 2022. This is due to the region's thriving technology sector and unwavering dedication to innovation and digital transformation. The region's unwavering focus on innovation and digital transformation is the primary factor behind the widespread use of DataOps platforms in North America. Businesses in North America are constantly looking for new strategies to encourage innovation and acquire a competitive edge.
Free Valuable Insights: Global DataOps Platform Market size to reach USD 14.6 Billion by 2030
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
By Service Model
By Component
By Vertical
By Geography
The Market size is projected to reach USD 14.6 billion by 2030.
The rising adoption of cloud-native DataOps are driving the Market in coming years, however, Need to address the challenges posed by the talent shortage restraints the growth of the Market.
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.)
The BFSI segment is generating the highest revenue share in the Global DataOps Platform Market by Vertical in 2022 thereby, achieving a market value of $3.2 billion by 2030.
The Agile Development segment is leading the Global DataOps Platform Market by Service Model in 2022 thereby, achieving a market value of $7.2 billion by 2030.
The North America market dominated the Global DataOps Platform Market by Region in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $5 billion by 2030.
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