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Report Description

Global DataOps Platform Market is expected to project a rapid CAGR during the forecast period. The Global DataOps Platform Market is expected to grow significantly in the coming years. DataOps is an automation to analyze, share and manage data related processes and operations such as data management, exploring, inserting, executing tests, and ensuring data quality. This platform helps organizations to achieve better success. It simplifies the complexity of data integration and offers end-to-end data governance. DataOps platform is a comprehensive solution that combines people, processes, and technologies to enable organizations to manage and analyze data more effectively. It provides a framework for collaboration, automation, and scalability throughout the data lifecycle, from ingestion and preparation to analysis and deployment.

DataOps platforms are mostly used to collect and integrate data from various sources. This cross-data integration simplifies the entire data storage and management process. DataOps Platform helps organizations to reduce time and cost associated with data handling. This also enhances the visibility of real time information in a centralized platform. The rising demand for DataOps platforms is driven by increasing availability of software-as-a-service (SaaS) data platforms and surging need for digital transformation in organizations. Moreover, the ever-increasing demand for real time data analytics with better accuracy also provides an opportunity for data-driven companies to reach business goals quickly. The enormous amount of data from various sources needs to be processed and analyzed timely for numerous applications. Traditional data warehouses are unable to handle the complex data management and integration tasks, due to which DataOps platforms have emerged. There is huge potential for the platform, owing to the variety of benefits it promises. This platform supports organizations to reduce operational costs and improve business performance. DataOps platforms help organizations to ensure data accuracy and access control. These platforms can manage and streamline the various sources of data in order to simplify the tasks like data exploitation and profiling. The platform also provides an improved performance by reducing processing time. However, high implementation and maintenance costs associated with DataOps platform may hinder the market growth. Furthermore, lack of skilled professionals may also restrict the overall growth of the Global DataOps Platform Market.

Increasing Demand for Automation in Data Management

The Global DataOps Platform Market is seeing remarkable growth, owing to the rising necessity for automation in data management. As enterprises manage immense volumes of data, they are confronted with the difficulty of efficiently managing, assimilating, and investigating the data to attain important insights. DataOps platforms tackle these issues by presenting a thorough solution, which ties together automation, cooperation, and flexibility across the data lifecycle.

Data automation plays a critical role in effective data management, as it minimizes the requirement for manual labor, reduces errors, and accelerates data processing and analysis. DataOps platforms facilitate automated data integration, data cleansing, data transformation, and data pipeline orchestration, streamlining data workflows, and enabling efficient data ingestion, preparation, and analysis. By introducing automation to repetitive and time-consuming tasks, businesses are able to free up vital resources and concentrate on extracting knowledge from their data. Additionally, automation affords businesses the scalability and versatility needed to stay ahead in their data operations. With growing volumes and varieties of data, manual data management techniques become impractical and tediously slow. To that end, DataOps platforms offer scalable infrastructure options such as cloud-based environments, which are able to manage large data volumes and adapt to ever-changing business needs. This ensures organizations can expeditiously process and analyze their data, even with increasing data requirements.

The ever-growing demand for automation in data management is driving the Global DataOps Platform Market. By offering organizations the ability to automate the majority of data processes, these platforms are ensuring that companies of all sizes are able to manage their data efficiently, be more agile, and achieve scalability. As the need for advanced data management solutions increases, the Global DataOps Platform Market looks set to experience substantial growth in the coming years.

Growing Need for Cloud-based Platforms

The growing need for cloud-based platforms is set to have a significant impact on the global DataOps platform market. Cloud-based platforms offer numerous advantages in terms of scalability, flexibility, cost-effectiveness, and accessibility, which align closely with the requirements of DataOps implementations. Cloud-based platforms provide secure, reliable, and cost-effective storage and access to data. They also provide scalability, allowing companies to add new functions and experiences to the platform as their requirements evolve. Moreover, cloud-based platforms enable an individual or a team to view, edit, change, and delete data as needed, as those processes are made possible through the appropriate cloud architecture. With less reliance on physical servers and data centers, the cost of data operations can be reduced. Cloud-based platforms provide the necessary infrastructure to effectively manage and analyze huge amounts of data efficiently. These platforms can support dynamic workloads as well as adapting to the varying data processing and storage requirements of an organization. The scalability and agility of these platforms on the cloud make them ideal for handling unpredictable data processing and storage loads.

Growing Adoption of Big Data and Analytics

Cloud-based platforms provide the infrastructure necessary for organizations to effectively manage, analyze, and accommodate large datasets with the potential for dynamic workload growth. By leveraging the scalability and flexibility of cloud hosted DataOps platforms, organizations can tailor their data processing and storage needs while accounting for any changes in size or rate of expansion. DataOps platforms are advantageous for organizations as they enable the collection, aggregation, and management of multiple and diverse datasets. They also provide an integrated viewpoint of the data, which is essential for successful analytics or extractions of knowledge from the information gathered. This unified view allows for a smooth interlinking of disparate information sources, offering a comprehensive overview that is essential for making sense of large volumes of data. The global market for DataOps Platforms is growing steadily as organizations strive to develop and utilize data-driven insights for strategic decision-making and business growth. DataOps Platforms offer a comprehensive solution for managing and analyzing large data sets, thereby helping to unlock the full potential of an organization's data assets. Consequently, demand for these DataOps Platforms is expected to continue to increase as big data and analytics are increasingly adopted.

Recent Developments

·     April 2023- DataOps.live successfully completed the AWS Foundational Technical Review, thus joining the AWS Partner Network on the Software Path and obtaining the AWS Qualified Software Certification.

·       March 2023- Blechwarenfabrik Limburg GmbH has entered into a partnership with Hitachi Vantara and adopted its Lumada DataOps Platform to further refine and optimize data analysis capabilities for its production goals. This allows for real-time, standardized, integrated analysis to provide both sustainability and a faster manufacturing process.

·      In February 2023, Informatica unveiled Cloud Data Integration-Free and PayGo, a greatly anticipated cloud-based data loading, integration, and ETLELT service. Designed to offer unprecedented ease of use to data professionals and non-technical personnel, such as those belonging to marketing, sales, and revenue operations teams, Cloud Data Integration-Free and PayGo empowers users to create data pipelines in a matter of minutes.

 

Market Segmentation

Based on Type, the market is segmented into Agile Development, DevOps, and Lean Manufacturing. Based on Application, the market is segmented into SME, and Large Enterprise. Based on End User Industry, the market is segmented Manufacturing, IT & Telecom, Retail, Healthcare, BFSI and Others.

Company Profiles

Some of the key players in the market include International Business Machines Corporation, Hitachi, Ltd, Hewlett Packard Enterprise, Oracle Corporation, Atlan Pte. Ltd, Amazon Web Services, Intel Corporation, Ingram Micro Inc., DataKitchen, Inc and Sony Corporation.

The Global DataOps Platform Market is highly competitive, with companies constantly seeking to differentiate themselves through their expertise, and cost-effectiveness. As the demand for innovative software continues to grow, the DataOps Platform Market is expected to expand further in the coming years.

DataOps Platform Market

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Attribute

Details

Base Year

2022

Historical Years

2018 – 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Billion and CAGR for 2018-2022 and 2023E-2028F

Report Coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered

 

By Type

By Application

By End User Industry

By Region

Regional Scope

Asia-Pacific, North America, Europe, Middle East & Africa, and South America

Country Scope

China, Japan, India, Australia, South Korea, United States, Canada, Mexico, United Kingdom, Germany, France, Spain, Italy, Israel, Turkey, Saudi Arabia, UAE, Brazil, Argentina, Colombia

Key Companies Profiled

International Business Machines Corporation, Hitachi, Ltd, Hewlett Packard Enterprise, Oracle Corporation, Atlan Pte. Ltd, Amazon Web Services, Intel Corporation, Ingram Micro Inc., DataKitchen, Inc and Sony Corporation

Customization Scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and Purchase Options

Avail of customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/pdf format on special request)

Report Scope:

In this report, the Global DataOps Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

  • DataOps Platform Market, By Type:
    • Agile Development
    • DevOps
    • Lean Manufacturing
  • DataOps Platform Market, By Application:
    • SME
    • Large Enterprise
  • DataOps Platform Market, By End User Industry:
    • Manufacturing
    • IT & Telecom
    • Retail
    • Healthcare
    • BFSI
    • Others
  •           DataOps Platform Market, By Region:
    • Asia-Pacific
      • China
      • Japan
      • India
      • Australia
      • South Korea
    • North America
      • United States
      • Canada
      • Mexico
    • Europe
      • United Kingdom
      • Germany
      • France
      • Spain
      • Italy
    • Middle East & Africa
      • Israel
      • Turkey
      • Saudi Arabia
      • UAE
    • South America
      • Brazil
      • Argentina
      • Colombia

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the global DataOps Platform market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

DataOps Platform Market  is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at sales@techsciresearch.com               

Table of content

Table of content

1.    Service Overview

1.1.  Market Definition

1.2.  Scope of the Market

1.2.1.    Markets Covered

1.2.2.    Years Considered for Study

1.2.3.    Key Market Segmentations

2.    Research Methodology

2.1.  Objective of the Study

2.2.  Baseline Methodology

2.3.  Key Industry Partners

2.4.  Major Association and Secondary Sources

2.5.  Forecasting Methodology

2.6.  Data Triangulation & Validation

2.7.  Assumptions and Limitations

3.    Executive Summary

4.    Voice of Customer

5.    Global DataOps Platform Market Outlook

5.1.  Market Size & Forecast

5.1.1.    By Value

5.2.  Market Share & Forecast

5.2.1.    By Type (Agile Development, DevOps, Lean Manufacturing,)

5.2.2.    By Application (SME, Large Enterprise)

5.2.3.    By End User Industry (Manufacturing, IT & Telecom, Retail, Healthcare, BFSI and Others)

5.2.4.    By Region

5.3.  By Company (2022)

5.4.  Market Map

5.4.1.    By Type

5.4.2.    By Application

5.4.3.    By End User Industry

5.4.4.    By Region

6.    North America DataOps Platform Market Outlook

6.1.  Market Size & Forecast

6.1.1.    By Value

6.2.  Market Share & Forecast

6.2.1.    By Type

6.2.2.    By Application

6.2.3.    By End User Industry

6.2.4.    By Country

6.3.  North America: Country Analysis

6.3.1.    United States DataOps Platform Market Outlook

6.3.1.1.        Market Size & Forecast

6.3.1.1.1.           By Value 

6.3.1.2.        Market Share & Forecast

6.3.1.2.1.           By Type

6.3.1.2.2.           By Application

6.3.1.2.3.           By End User Industry

6.3.2.    Canada DataOps Platform Market Outlook

6.3.2.1.        Market Size & Forecast

6.3.2.1.1.           By Value 

6.3.2.2.        Market Share & Forecast

6.3.2.2.1.           By Type

6.3.2.2.2.           By Application

6.3.2.2.3.           By End User Industry

6.3.3.    Mexico DataOps Platform Market Outlook

6.3.3.1.        Market Size & Forecast

6.3.3.1.1.           By Value 

6.3.3.2.        Market Share & Forecast

6.3.3.2.1.           By Type

6.3.3.2.2.           By Application

6.3.3.2.3.           By End User Industry

7.    Asia-Pacific DataOps Platform Market Outlook

7.1.  Market Size & Forecast

7.1.1.    By Value

7.2.  Market Share & Forecast

7.2.1.    By Type

7.2.2.    By Application

7.2.3.    By End User Industry

7.2.4.    By Country

7.3.  Asia-Pacific: Country Analysis

7.3.1.    China DataOps Platform Market Outlook

7.3.1.1.        Market Size & Forecast

7.3.1.1.1.           By Value 

7.3.1.2.        Market Share & Forecast

7.3.1.2.1.           By Type

7.3.1.2.2.           By Application

7.3.1.2.3.           By End User Industry

7.3.2.    Japan DataOps Platform Market Outlook

7.3.2.1.        Market Size & Forecast

7.3.2.1.1.           By Value 

7.3.2.2.        Market Share & Forecast

7.3.2.2.1.           By Type

7.3.2.2.2.           By Application

7.3.2.2.3.           By End User Industry

7.3.3.    South Korea DataOps Platform Market Outlook

7.3.3.1.        Market Size & Forecast

7.3.3.1.1.           By Value 

7.3.3.2.        Market Share & Forecast

7.3.3.2.1.           By Type

7.3.3.2.2.           By Application

7.3.3.2.3.           By End User Industry

7.3.4.    India DataOps Platform Market Outlook

7.3.4.1.        Market Size & Forecast

7.3.4.1.1.           By Value 

7.3.4.2.        Market Share & Forecast

7.3.4.2.1.           By Type

7.3.4.2.2.           By Application

7.3.4.2.3.           By End User Industry

7.3.5.    Australia DataOps Platform Market Outlook

7.3.5.1.        Market Size & Forecast

7.3.5.1.1.           By Value 

7.3.5.2.        Market Share & Forecast

7.3.5.2.1.           By Type

7.3.5.2.2.           By Application

7.3.5.2.3.           By End User Industry

8.    Europe DataOps Platform Market Outlook

8.1.  Market Size & Forecast

8.1.1.    By Value

8.2.  Market Share & Forecast

8.2.1.    By Type

8.2.2.    By Application

8.2.3.    By End User Industry

8.2.4.    By Country

8.3.  Europe: Country Analysis

8.3.1.    Germany DataOps Platform Market Outlook

8.3.1.1.        Market Size & Forecast

8.3.1.1.1.           By Value 

8.3.1.2.        Market Share & Forecast

8.3.1.2.1.           By Type

8.3.1.2.2.           By Application

8.3.1.2.3.           By End User Industry

8.3.2.    United Kingdom DataOps Platform Market Outlook

8.3.2.1.        Market Size & Forecast

8.3.2.1.1.           By Value 

8.3.2.2.        Market Share & Forecast

8.3.2.2.1.           By Type

8.3.2.2.2.           By Application

8.3.2.2.3.           By End User Industry

8.3.3.    France DataOps Platform Market Outlook

8.3.3.1.        Market Size & Forecast

8.3.3.1.1.           By Value 

8.3.3.2.        Market Share & Forecast

8.3.3.2.1.           By Type

8.3.3.2.2.           By Application

8.3.3.2.3.           By End User Industry

8.3.4.    Italy DataOps Platform Market Outlook

8.3.4.1.        Market Size & Forecast

8.3.4.1.1.           By Value 

8.3.4.2.        Market Share & Forecast

8.3.4.2.1.           By Type

8.3.4.2.2.           By Application

8.3.4.2.3.           By End User Industry

8.3.5.    Spain DataOps Platform Market Outlook

8.3.5.1.        Market Size & Forecast

8.3.5.1.1.           By Value 

8.3.5.2.        Market Share & Forecast

8.3.5.2.1.           By Type

8.3.5.2.2.           By Application

8.3.5.2.3.           By End User Industry

9.    South America DataOps Platform Market Outlook

9.1.  Market Size & Forecast

9.1.1.    By Value

9.2.  Market Share & Forecast

9.2.1.    By Type

9.2.2.    By Application

9.2.3.    By End User Industry

9.2.4.    By Country

9.3.  South America: Country Analysis

9.3.1.    Brazil DataOps Platform Market Outlook

9.3.1.1.        Market Size & Forecast

9.3.1.1.1.           By Value 

9.3.1.2.        Market Share & Forecast

9.3.1.2.1.           By Type

9.3.1.2.2.           By Application

9.3.1.2.3.           By End User Industry

9.3.2.    Argentina DataOps Platform Market Outlook

9.3.2.1.        Market Size & Forecast

9.3.2.1.1.           By Value 

9.3.2.2.        Market Share & Forecast

9.3.2.2.1.           By Type

9.3.2.2.2.           By Application

9.3.2.2.3.           By End User Industry

9.3.3.    Colombia DataOps Platform Market Outlook

9.3.3.1.        Market Size & Forecast

9.3.3.1.1.           By Value 

9.3.3.2.        Market Share & Forecast

9.3.3.2.1.           By Type

9.3.3.2.2.           By Application

9.3.3.2.3.           By End User Industry

10. Middle East & Africa DataOps Platform Market Outlook

10.1.             Market Size & Forecast

10.1.1. By Value

10.2.             Market Share & Forecast

10.2.1. By Type

10.2.2. By Application

10.2.3. By End User Industry

10.2.4. By Country

10.3.             Middle East & Africa: Country Analysis

10.3.1. Israel DataOps Platform Market Outlook

10.3.1.1.     Market Size & Forecast

10.3.1.1.1.         By Value 

10.3.1.2.     Market Share & Forecast

10.3.1.2.1.         By Type

10.3.1.2.2.         By Application

10.3.1.2.3.         By End User Industry

10.3.2. Turkey DataOps Platform Market Outlook

10.3.2.1.     Market Size & Forecast

10.3.2.1.1.         By Value 

10.3.2.2.     Market Share & Forecast

10.3.2.2.1.         By Type

10.3.2.2.2.         By Application

10.3.2.2.3.         By End User Industry

10.3.3. UAE DataOps Platform Market Outlook

10.3.3.1.     Market Size & Forecast

10.3.3.1.1.         By Value 

10.3.3.2.     Market Share & Forecast

10.3.3.2.1.         By Type

10.3.3.2.2.         By Application

10.3.3.2.3.         By End User Industry

10.3.4. Saudi Arabia DataOps Platform Market Outlook

10.3.4.1.     Market Size & Forecast

10.3.4.1.1.         By Value 

10.3.4.2.     Market Share & Forecast

10.3.4.2.1.         By Type

10.3.4.2.2.         By Application

10.3.4.2.3.         By End User Industry

11. Market Dynamics

11.1.             Drivers

11.1.1. Increasing Demand for Automation in Data Management

11.1.2. Growing Need for Cloud-based Platforms

11.1.3. Growing Adoption of Big Data and Analytics

11.2.             Challenges

11.2.1. Ensuring data security and governance

11.2.2. Flexible and cost-effective scalability

12. Market Trends & Developments

12.1.Increased Adoption of Cloud Computing Services

12.2.Emergence of Container Solutions

12.3.Growing Focus on Compliance and Security

12.4.Adoption of Artificial Intelligence (AI) and Machine Learning (ML)

12.5.Rise of DevSecOps

13. Covid 19 impact on the DataOps Platform Market

14. Company Profiles

14.1.                International Business Machines Corporation

14.1.1.    Business Overview

14.1.2.    Key Revenue (If Available)

14.1.3.    Recent Developments

14.1.4.    Key Personnel

14.1.5.    Key Service Offered

14.2.                Hitachi, Ltd

14.2.1.    Business Overview

14.2.2.    Key Revenue (If Available)

14.2.3.    Recent Developments

14.2.4.    Key Personnel

14.2.5.    Key Service Offered

14.3.                ORACLE CORPORATION

14.3.1.    Business Overview

14.3.2.    Key Revenue (If Available)

14.3.3.    Recent Developments

14.3.4.    Key Personnel

14.3.5.    Key Service Offered

14.4.                Hewlett Packard Enterprise

14.4.1.    Business Overview

14.4.2.    Key Revenue (If Available)

14.4.3.    Recent Developments

14.4.4.    Key Personnel

14.4.5.    Key Service Offered

14.5.                Atlan Pte. Ltd

14.5.1.    Business Overview

14.5.2.    Key Revenue (If Available)

14.5.3.    Recent Developments

14.5.4.    Key Personnel

14.5.5.    Key Service Offered

14.6.                Amazon Web Services

14.6.1.    Business Overview

14.6.2.    Key Revenue (If Available)

14.6.3.    Recent Developments

14.6.4.    Key Personnel

14.6.5.    Key Service Offered

14.7.                Intel Corporation

14.7.1.    Business Overview

14.7.2.    Key Revenue (If Available)

14.7.3.    Recent Developments

14.7.4.    Key Personnel

14.7.5.    Key Service Offered

14.8.                 Ingram Micro Inc.

14.8.1.    Business Overview

14.8.2.    Key Revenue (If Available)

14.8.3.    Recent Developments

14.8.4.    Key Personnel

14.8.5.    Key Service Offered

14.9.                DataKitchen, Inc

14.9.1.    Business Overview

14.9.2.    Key Revenue (If Available)

14.9.3.    Recent Developments

14.9.4.    Key Personnel

14.9.5.    Key Service Offered

14.10.             Sony Corporation

14.10.1. Business Overview

14.10.2. Key Revenue (If Available)

14.10.3. Recent Developments

14.10.4. Key Personnel

14.10.5. Key Service Offered

15. Strategic Recommendations

15.1.         Fastest Growing Market by Type

15.2.         Dominating Market by End Use

15.3.         Dominating Market by Region & Country

16. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)

Figures and Tables

Frequently asked questions

Frequently asked questions

Key players in the Global DataOps Platform Market are International Business Machines Corporation, Hitachi, Ltd, Hewlett Packard Enterprise, ORACLE CORPORATION, Atlan Pte. Ltd, Amazon Web Services, Intel Corporation, Ingram Micro Inc., DataKitchen, Inc and Sony Corporation.

The Asia-Pacific region is the fastest growing region in the Global DataOps Platform Market. This region is forecast to register the highest CAGR over the forecast period, owing to the increasing demand for data-driven decision-making, increasing focus on data governance, expanding presence of technology giants, and the increasing adoption of cloud-based solutions in the region.

The technologies including distributed computing, analytics and visualization, cloud-native technologies, DevOps, data virtualization, security and compliance, artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) are used in Global DataOps Platform Market.

The Global DataOps Platform market is being driven by the use of analytics and big data, growing adoption of cloud-based DataOps platforms, and need for data governance.

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