DataOps Platform Market

DataOps Platform Market Size by Type (Agile Development, DevOps and Lean Manufacturing), Deployment Type (Cloud and On-premises), Application (BFSI, Healthcare, Retail, Manufacturing, Government, IT and Telecommunications, Energy and Utilities, Media and Entertainment, and Others), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2024 to 2033

Base Year: 2023 Historical Data: 2020-22
  • Report ID: TBI-14381
  • Published Date: Jun, 2024
  • Pages: 238
  • Category: Information Technology & Semiconductors
  • Format: PDF
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Segment Analysis

Regional segmentation analysis

The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the most significant global dataOps platform market, with a 42% market revenue share in 2023.

the region is home to leading tech-companies, startups, universities, and research centres that advance data management and analytics and, in turn, are a driving force behind the evolution of effective DataOps platforms. The availability of large amounts of venture capital financing is feasible to foster initiative and improvement aiding expansion of the region. A significant proportion of the big business giants around the world are located in North America and are among the pioneers who have embraced DataOps platforms that are reporting a favourable market environment for the same. Financial suitability and favourable regulations that enable data leaders to be more open and have less restrictions when adopting DataOps platforms compared to other regions also augments the market's growth. Furthermore, more and more organizations in North America integrate data analytics as a key factor in decision making, which in turn drives the demand for DataOps platforms.

North America Region DataOps Platform Market Share in 2023 - 42%

 

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  • SymphonyAI, a pioneer in predictive and generative enterprise AI SaaS, has launched IRIS (Industrial Reasoning and Insights Service) Foundry, an industrial data operations platform that enables the rapid development of robust digital industrial applications that improve process efficiency, reduce unscheduled asset downtime, and enhance connected worker capabilities. IRIS Foundry, driven by SymphonyAI's award-winning predictive and generative EurekaAI platform, employs AI-enabled data contextualization at the enterprise scale and is open and composable.

Type Segment Analysis

The type segment is divided into agile development, devOps and lean manufacturing. The agile development segment dominated the market, with a market share of around 45% in 2023. Data operations, also often referred to as DataOps for short, are based on precise software development methodologies, which are as flexible as they are iterative. The Agile DataOps approach works to develop a delivery pipeline that can integrate the work at various stages of the project so that organizations can address smaller dependencies and bring products to market more quickly. Business-centric orientation of the project management increases performance and customer satisfaction through insistence on collaboration of different teams responsible for the different business and technical facets of the project. It is analysing that agile development dominates the DataOps market because it helps a business to deliver value swiftly, accept changes, engage stakeholders and teams, address certain risks, and enhance the quality of the data.

  • DataOps.live announced that it has achieved the Silver Partnership milestone with Collibra. DataOps.live became a Collibra Silver Partner, joining a small group of devoted technology solution partners recognized for their dedication to creating integrated solutions based on the Collibra Data Intelligence vision. The DataOps.live platform serves as a purpose-built, low-code Orchestrator for Collibra, collecting critical operational metadata on data pipelines, usage, and infrastructure. Combined with Collibra's powerful data catalogue and quality capabilities, this can demystify data complexity and deliver significant business benefits to joint customers. Collibra provides data engineers and business stakeholders with a collaborative interface for understanding the structure and lineage of data assets across the Snowflake Data Cloud, from intake to analytics.

Deployment type Segment Analysis

The deployment type segment is divided into cloud and on-premises. The cloud segment dominated the market, with a market share of around 75% in 2023. Cloud deployment scenarios of DataOps deal with using data pipelines, analytical instruments, and management interfaces located on third-party cloud environments. Cloud platforms provide scalability. Cloud enables the deployment of systems based on the dynamic and diverse nature of business needs. Also, the pay-as-you-go pricing model leads to cost savings. Furthermore, the use of the cloud services presents the ability to achieve geographical coverage as the cloud service providers possess data centres in different parts of the world. Security and compliance are also tackled in the higher-level security measures and certifications made available by cloud providers themselves thus, reducing the responsibilities which had been imposed on organizations to secure an implement their own security structure. In addition, integration with other cloud services and tools improve the data processing and complex analytical methods and more detailed insights.

  • Translab Technologies Pvt Ltd, a well-known "Good Data" expert, has introduced the Tantor Data Platform, which will convert, use, and manage enterprise data in new ways. Tantor's data automation capacity saves banks 30 - 35% on manual efforts. Federal Bank, which has always integrated its IT innovation strategy with its business goals, chose the Tantor Data Platform to process its massive volume of corporate data to get valuable insights and make data-driven choices. Translab's main product, Tantor, is a comprehensive cloud-native data platform for scalability, resilience, privacy, and security. This technology streamlines DataOps by integrating data silos and managing data throughout its lifespan.

Application Segment Analysis

The application segment is divided into BFSI, healthcare, retail, manufacturing, government, IT and telecommunications, energy and utilities, media and entertainment, and others. The IT and telecommunications segment dominated, with a market share of around 38% in 2023. Some of the prominent industries which make extensive use of DataOps platforms include Information Technology and telecommunication industries, due to their nature of their business, continuous transitions, and interactions with several forms of data. These industries deal with large amount of data derived from traffic, application usage, log files and sensors. DataOps platforms help firms perform more effectively and respond to changes on the market and customers’ requirements. This is especially important as IT and telecommunication companies implement various solutions that require scalability and performance – features that a DataOps platform brings. The nature of the IT and telecommunication industries as data-intensive businesses that continue to evolve, require compliance, and must address scalability demands explain why these industries are among the core users of DataOps platforms.

  • HighByte, an industrial software firm, has announced a Series A fundraising round headed by Standard Investments. This platform invests in breakthrough development companies at the confluence of digital and physical worlds. New funds will be primarily directed to R&D, strategic partner management, and customer success to drive market penetration and extend installations inside current customers. HighByte has created a one-of-a-kind Industrial DataOps software solution, HighByte Intelligence Hub, which allows manufacturers to merge, prepare, and distribute modelled industrial data to and from IT systems without writing or maintaining code.

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This study forecasts revenue at global, regional, and country levels from 2020 to 2033. The Brainy Insights has segmented the global dataOps platform market based on below mentioned segments:

Global DataOps Platform Market by Type:

  • Agile Development
  • DevOps
  • Lean Manufacturing

Global DataOps Platform Market by Deployment Type:

  • Cloud
  • On-premises

Global DataOps Platform Market by Application:

  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • Government
  • IT and Telecommunications
  • Energy and Utilities
  • Media and Entertainment
  • Others

Global DataOps Platform Market by Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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