DataOps Platform Market Forecasts to 2028 – Global Analysis By Offering (Platform and Services), By Type (Lean Manufacturing, Devops, Agile Development and Other Types), By Deployment Mode, By Application, By End User and By Geography

DataOps Platform Market Forecasts to 2028 – Global Analysis By Offering (Platform and Services), By Type (Lean Manufacturing, Devops, Agile Development and Other Types), By Deployment Mode, By Application, By End User and By Geography

According to Stratistics MRC, the Global DataOps Platform Market is accounted for $1.21 billion in 2022 and is expected to reach $4.09 billion by 2028 growing at a CAGR of 22.5% during the forecast period. The objective of the DataOps platform is to increase the quality, speed, and business value of data-related activities by combining agile approaches, automation, and collaboration across data professionals. This comprehensive approach to data management goes beyond technology. The goal of the DataOps platform is to improve communication, integration, and automation of data flow between data sources and consumers. This is a radical departure from traditional DevOps.

Market Dynamics

Driver

Increased data complexity and accelerating data volumes

Organizations are having to manage ever-increasing amounts of data from many sources, in both structured and unstructured formats, as well as real-time data streams. The quantity, velocity, and diversity of data frequently make it challenging 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.

Restraint

Data privacy and security concerns

Sensitive data must be protected, and organizations must abide by data privacy laws as awareness of this fact grows. Data that is sensitive and private is handled by DataOps platforms. The maintenance of robust security measures while ensuring data privacy and compliance with laws (such as GDPR or CCPA) can be a difficult task. The concerns raised in this instance must be addressed, and strong security mechanisms are required to exist. As a result of the integration of numerous tools and systems used by DataOps platforms, there may be more attack surfaces and possible weaknesses. If the DataOps platform is not properly secured, organizations can be concerned about the possibility of data breaches and their potential impact on data privacy.

Opportunity

Need to bridge gap between data engineers and data analysts

Additionally, DataOps arose as an approach to bridging the gap between data engineers and data analysts, who have various priorities and goals. Data engineering, data science, business analysis, and IT operations teams, as well as these teams' cross-functional alignment, are all supported by data operations platforms. DataOps systems make it possible for teams to collaborate, exchange knowledge, and adhere to uniform procedures, which boosts output and productivity by giving every individual access to the same tools and processes. Furthermore, DataOps platforms promote collaboration and cross-functional alignment, which reduces barriers between teams, promotes knowledge sharing, and improves the overall efficacy and efficiency of data operations. Organizations can take advantage of the team's aggregate knowledge in this collaborative environment to spur innovation and provide high-quality data-driven insights.

Threat

Need to mitigate the challenges of skilled talent shortage

The lack of highly skilled workers is one of the major issues facing the market for data operations platforms. Data engineering, data science, software development, and operations experts are needed for DataOps platforms. A talent gap has developed because of the industry's significant lack of experts with these particular talents. As a result, businesses are having trouble finding qualified individuals to create, launch, and maintain DataOps platforms. The speed at which technology is developing makes this talent deficit increasingly severe. For existing team members to adjust to the DataOps strategy, further training or retraining may be required. Additionally, primarily data scientists and machine learning engineers are affected by the scarcity of qualified talent.

Covid-19 Impact

The COVID-19 outbreak has increased the dependence of firms on remote labor and digital technologies, necessitating higher demands for digital transformation. DataOps tools are becoming increasingly necessary to help firms manage their data more efficiently. One of COVID-19's most significant consequences on the market for DataOps platforms is an increase in demand for cloud-based solutions. As remote work becomes the new norm, businesses are looking for solutions to access their data from anywhere. Cloud-based DataOps solutions, which let teams collaborate and work remotely on data pipelines, provide this flexibility.

The platform segment is expected to be the largest during the forecast period

Platform segment commanded the largest market share throughout the domination period. DataOps platforms are made to simplify data management and analysis procedures, enabling businesses to increase operational effectiveness over time. The market for DataOps platforms offers significant, lucrative potential due to the growing volume of data that enterprises must manage, process, and analyze. These elements are augmenting the segments growth.

The cloud segment is expected to have the highest CAGR during the forecast period

Cloud segment is projected to have profitable growth during the estimation period. Depending on the particular needs of a business, the cloud segment of the deployment method plays a vital role in setting up the necessary IT infrastructure for managing the IT ecosystem in the market for DataOps platforms. However, the popularity of cloud deployment mode in the market for DataOps platforms is driven by the opportunity to have more control over data location and accessibility across a network.

Region with largest share

North America region is estimated to have the largest share over the forecasted period because of its thriving IT sector and continuous commitment to innovation and digital transformation. It has also become a leader in implementing DataOps systems. Major nations like the United States and Canada are included in the region, with the United States driving the adoption of DataOps due to the presence of multiple internationally recognized technology enterprises. The region's unwavering focus on innovation and digital transformation is the primary factor behind the widespread use of DataOps platforms in North America.

Region with highest CAGR

Because big data is rapidly growing, cloud computing is widely used, artificial intelligence is advancing, and DataOps platforms are being used rapidly, the Asia-Pacific region is expected to have lucrative growth over the extrapolated period. Businesses are looking for automated solutions to manage their data effectively as a result of the unprecedented growth in data volumes in an effort to reduce costs, enhance operational efficiency, and improve data quality. Moreover, in the Asia-Pacific area, 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 complete end-to-end data management solutions to enterprises of all kinds.

Key players in the market

Some of the key players in DataOps Platform market include Accenture , Atlan, AWS, Databricks, Dataiku, Datakitchen, Fosfor, Hitachi Vantara, IBM, Informatica, Microsoft, Oracle, SAS Institute, Teradata and Wipro.

Key Developments

In April 2023, DataOps.live partnered with AWS and joined the AWS Partner Network on the Software Path and obtained the AWS Qualified Software Certification after successfully completing the AWS Foundational Technical Review.

In March 2023, Blechwarenfabrik Limburg GmbH collaborated with Hitachi Vantara and adopted its Lumada DataOps Platform which includes Pentaho, to achieve real-time, standardized, integrated data analysis for increased sustainability and accelerated production.

In February 2023, Informatica announced the launch of Cloud Data Integration-Free and PayGo, which is the only free cloud data loading, integration, and ETL/ELT service. This new service targets data practitioners and non-technical users such as in marketing, sales, and revenue operations teams to build data pipelines within minutes.

In November 2022, Wipro had announced the launch of Data Intelligence Suite speeding up the cloud modernization and data monetization, focused on modernizing data estates, including data stores, pipelines, and visualizations, running on Amazon Web Services. It also provides a dependable and safe way to migrate from existing platforms and fragmented legacy systems to the cloud.

In June 2022, Teradata announced the general availability and integration of the Teradata Vantage multi-cloud data and analytics platform with Amazon SageMaker. It enables organizations to widely employ advanced analytics to fully leverage their data.

Offerings Covered
• Platform
• Services

Types Covered
• Lean Manufacturing
• Devops
• Agile Development
• Other Types

Deployment Modes Covered
• On Premises
• Cloud

Applications Covered
• Banking, Financial Services and Insurance (BFSI)
• Healthcare & Life Sciences
• Retail & E Commerce
• Manufacturing
• Other Applications

End Users Covered
• Government & Defense
• Telecommunications
• Transportation & Logistics
• IT/ITES
• Media & Entertainment
• Other End Users

Regions Covered
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa

What our report offers
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities,Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements