Big Data Testing Market size was valued at $20.56 billion in 2019, and it is estimated to grow at a CAGR of 8.53% during 2020-2025. The growth is mainly attributed to the adoption of advanced technologies such as artificial intelligence and others has been pushing the big data testing market. 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 forecast period.
Testing Tool – Segment Analysis
Hadoop held the major share of 31.85% in 2019. Hadoop is an open source software framework and used for storing data and to run applications on groups of commodity hardware. It also provide 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 and helps in optimizing data management structure in enterprises 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.
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Application – Segment Analysis
Healthcare segment is the fastest growing segment in Big Data Testing market and estimated to grow at a CAGR of 12.39% during forecast period 2020-2025. 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 set to create opportunities for the market growth.
Geography- Segment Analysis
North American region dominated the Big Data Testing market in 2019 with a market share of 36.95%, 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 at the U.S. and this increases the market growth. This is attributed to increasing volumes and importance of data in an organization which require big data testing. The high growth rate can be majorly attributed to 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 adoption of big data is set to drive the market in this region.
Drivers –Big Data Testing Market
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 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 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 help in smarter data sampling, cataloging techniques, high-end big data performance testing which set to enhance the market growth.
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Challenges – Big Data Testing Market
Data Security and lack of skilled workforce is the major challenge
Testing big data in enterprises has become one of the major challenge faced by organizations because of lack of knowledge on what to test and how much data to test. Organizations have been facing challenge 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.
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.
In June 2019, IBM had launched security testing service for block chain based products. The security testing also includes big data testing which set to increase the Company’s big data market share, thereby driving the market.
In May 2018, Cigniti Technologies limited had acquired Gallop Solutions Inc, which is an U.S. based specialized software testing services company. Acquisition and adoption of software testing companies platforms set to provide opportunities for big data testing market.
North America dominated the Big Data Testing market in term of revenue in 2019 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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B. Big Data Market
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