Big Data Testing Market Overview
Big Data Testing market size was valued at $20.1 billion in 2020, and it is estimated to grow at a CAGR of 8.0% during 2021-2026. The growth is mainly attributed to the adoption of advanced technologies such as artificial intelligence and others which has been pushing the big data testing market. The increasing adoption of big data testing platforms for reducing organizations or enterprises losses by differentiating valuable data from the stack of semi-structured and unstructured data is set to propel the market growth during the forecast period. The market will be driven by new channel programs such as E-commerce and social media programs. Big Data is defined as the capture, storage and analysis of large and complex data sets which are generally difficult to be processed or handled traditionally. Big data analytics has the potential to improve demand forecasting, communication and supply chain resources.
Big Data Testing Market Segment Analysis – By Testing Tool
Hadoop held the major share of 32.2% in 2020. Hadoop is an open source software framework and used for storing data and to run applications on groups of commodity hardware. It also provides huge storage for all kinds of data, huge processing power and the ability to handle virtually limitless concurrent tasks. Hadoop has different kinds of testing such as unit testing, regression testing, system testing, and performance Testing, and others. Adoption of Hadoop tool in order to put the unstructured data in the correct systems help in optimizing data management structure in enterprises and is set to drive the market growth. In addition to this, the benefits such as cost effectiveness, scalability and systematic architecture of Hadoop tool further propel the market growth.
Big Data Testing Market Segment Analysis – By Application
Healthcare segment is the fastest growing segment in Big Data Testing market and is estimated to grow at a CAGR of 11.6% during the forecast period 2021-2026. In Healthcare segment, big data is used for analyzing and management of huge amounts of health data. The amount of patient and consumer health data has grown exponentially because of new computer-based information systems and global pandemic diseases. In recent years, the adoption of wearable technology, biosensors has increased the amount of biological data being captured. These data include electronic patient records outcomes (ePRO), electronic health records (EHR) and various other software sources. Increasing adoption of big data testing methods for accuracy of the healthcare data is set to create opportunities for market growth.
Big Data Testing Market Segment Analysis – By Geography
North American region dominated the Big Data Testing market in 2020 with a market share of 37.4%, followed by Europe and APAC owing to the early adoption of advanced technologies. Additionally, the presence of majority of Big Data companies such as IBM, Amazon, Oracle, and Microsoft are headquartered in the U.S. and this increases the market growth. This is attributed to the increasing volumes and importance of data in an organization which requires big data testing. The high growth rate can be majorly attributed to the high adoption of IoT, devices by various organizations in this region. Enterprises, mainly in the U.S., have started using big data solutions to generate data insights for making strategic business decisions and remaining competitive in the market. High investments in the adoption of big data is set to drive the market in this region.
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Big Data Testing Market Drivers
Increasing digitalization and high adoption of big data programs in enterprises is set to push the big data testing market
With the adoption of digitalization technology in the organizations, there is huge amount of big data which has given demand for proper data management and big data testing techniques. There has been increase in adoption of big data in enterprises owing to benefits such as cost cut down, high efficiency, increasing sales and loyalty and others. Big data technologies such as Hadoop and cloud based analytics provide significant cost benefits for storing large amounts of data and also assist in identifying more efficient ways of doing business. Big data also assist companies in predicting future situations by descriptive analytics, predictive analytics and prescriptive analytics. This has created demand for big data testing for validating data extraction, transformation algorithm, data quality, data flow, and business rules, and this is set to drive the market growth.
Advancements in technology
Integration of advanced technologies such as artificial intelligence (AI) with big data is set to drive the market growth. Real time integration of the data with the enterprise applications creates demand for AI such that the big data matches the level of scalability and data processing system. Therefore, there will be a requirement of AI based predictive data analytics testing that can examine the insights from the minute patterns in large data sets in order to support effective decision-making. By testing and certifying the big data feeds and applications in live deployment, organizations can assure of the correctness of their decisions. This helps in smarter data sampling, cataloging techniques, high-end big data performance testing which set to enhance the market growth.
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Big Data Testing Market Challenges
Data Security and lack of skilled workforce is a major challenge
Testing big data in enterprises has become one of the major challenges faced by organizations because of a lack of knowledge on what to test and how much data to test. Organizations have been facing challenges in defining test strategies for structured and unstructured data validation, setting up an optimal test environment, working with non-relational databases and performing non-functional testing. However, data security is another challenge with big data testing. These challenges cause poor quality of data in production and delayed implementation and increase in cost which hampers the growth of the market.
Big Data Testing Market Landscape
Technology launches, Acquisitions, and R&D activities are key strategies adopted by players in the Big Data Testing market. Big Data Testing top 10 companies include IBM, Infosys, Cigniti Technologies Limited, Real Time Technology Solutions Inc, Robotium Tech, Pratham Software, Tricentis GmbH, GTEN Technologies, Codid, and others.
Acquisitions/Technology Launches
In June 2019, IBM had launched security testing service for block chain based products. The security testing also includes big data testing which is set to increase the Company’s big data market share, thereby driving the market.
Key Takeaways
North America dominated the Big Data Testing market in term of revenue in 2020 owing to the early adoption of advanced technologies and presence of major number of players.
Integration of advanced technologies such as artificial intelligence and analytics set to push the big data testing market growth.
Adoption of Hadoop tool for big data testing owing to its scalability and cost effective features propel the market growth.
Increasing application of big data testing in health sector owing to global pandemic disease is poised to provide opportunities for the market growth.
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