Big Data Testing Market - Forecast(2021 - 2026)

Report Code: ITR 0114 Report Format: PDF + Excel (Delivery in 48 Hrs)

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 Report Coverage

The report: “Big Data Testing Market Forecast (2021-2026)”, by IndustryARC, covers an in-depth analysis of the following segments of the Big Data Testing Market. 

By Data Type: Structured Data, Unstructured Data, Semi-Structured Data
By Database Testing Type: Data Validation, Process Validation, Output Validation, ETL Process Validation, Architectural Testing
By Storage: S3 Cloud Storage, Hadoop Distributed File System (HDFS)
By Testing Tool: Hadoop, TeraData, NoSQL, Hive
By Application: Supply Chain, Marketing, Sales, Manufacturing, Travel, E-Learning, Healthcare, Banking & Financial Services
By Geography: North America (U.S., Canada and Mexico); South America (Brazil, Argentina, Rest of Americas); Europe (U.K., Germany, Italy, France, Rest of Europe); APAC (China, Japan, South Korea, India, Rest of APAC; RoW (Middle East & Africa)

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. 

Big Data Testing Market, By Region, 2020

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Big Data Testing Market Segment AnalysisBy 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 AnalysisBy 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.

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.

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.

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1. Big Data Testing Market - Overview
    1.1 Definitions and Scope
2. Big Data Testing Market - Executive summary
    2.1 Market Revenue, Market Size and Key Trends by Company
    2.2 Key Trends by type of Application
    2.3 Key Trends segmented by Geography
3. Big Data Testing Market 
    3.1 Comparative analysis
        3.1.1 Product Benchmarking - Top 10 companies
        3.1.2 Top 5 Financials Analysis
        3.1.3 Market Value split by Top 10 companies
        3.1.4 Patent Analysis - Top 10 companies
        3.1.5 Pricing Analysis 
4. Big Data Testing Market – Startup companies Scenario Premium Premium
    4.1 Top 10 startup company Analysis by
        4.1.1 Investment
        4.1.2 Revenue
        4.1.3 Market Shares
        4.1.4 Market Size and Application Analysis
        4.1.5 Venture Capital and Funding Scenario
5. Big Data Testing Market – Industry Market Entry Scenario Premium Premium
    5.1 Regulatory Framework Overview
    5.2 New Business and Ease of Doing business index
    5.3 Case studies of successful ventures
    5.4 Customer Analysis – Top 10 companies
6. Big Data Testing Market Forces
    6.1 Drivers
    6.2 Constraints
    6.3 Challenges
    6.4 Porters five force model
        6.4.1 Bargaining power of suppliers
        6.4.2 Bargaining powers of customers
        6.4.3 Threat of new entrants
        6.4.4 Rivalry among existing players
        6.4.5 Threat of substitutes 
7. Big Data Testing Market -Strategic analysis
    7.1 Value chain analysis
    7.2 Opportunities analysis
    7.3 Product life cycle
    7.4 Suppliers and distributors Market Share
8. Big Data Testing Market – By Data Type (Market Size -$Million / $Billion)
    8.1 Market Size and Market Share Analysis 
    8.2 Application Revenue and Trend Research
    8.3 Product Segment Analysis
        8.3.1 Structured Data
        8.3.2 Unstructured Data
        8.3.3 Semi-structured Data
9. Big Data Testing Market – By Database Testing Type (Market Size -$Million / $Billion)
    9.1 Data validation
    9.2 Process validation
        9.2.1 MapReduce
    9.3 Output validation
    9.4. ETL process validation
        9.4.1 Extract
        9.4.2 Transform
        9.4.3 Load
    9.5 Architectural Testing
10. Big Data Testing Market – By Storage (Market Size -$Million / $Billion)
    10.1 S3 Cloud storage
    10.2 Hadoop Distributed File System (HDFS)
11. Big Data Testing Market – By Testing Tool (Market Size -$Million / $Billion)
    11.1 Hadoop
    11.2 TeraData
    11.3 NoSQL
    11.4 Hive
12. Big Data Testing Market – By Application (Market Size -$Million / $Billion)
    12.1 Supply Chain
    12.2 Marketing
    12.3 Sales
    12.4 Manufacturing
    12.5 Travel
    12.6 E-Learning
    12.7 Health care
    12.8 Banking and Financial services
13. Big Data Testing - By Geography (Market Size -$Million / $Billion)
    13.1 Big Data Testing Market - North America Segment Research
    13.2 North America Market Research (Million / $Billion)
        13.2.1 Segment type Size and Market Size Analysis 
        13.2.2 Revenue and Trends
        13.2.3 Application Revenue and Trends by type of Application
        13.2.4 Company Revenue and Product Analysis
        13.2.5 North America Product type and Application Market Size
            13.2.5.1 U.S.
            13.2.5.2 Canada 
            13.2.5.3 Mexico 
            13.2.5.4 Rest of North America
            13.3 Big Data Testing - South America Segment Research
    13.4 South America Market Research (Market Size -$Million / $Billion)
        13.4.1 Segment type Size and Market Size Analysis 
        13.4.2 Revenue and Trends
        13.4.3 Application Revenue and Trends by type of Application
        13.4.4 Company Revenue and Product Analysis
        13.4.5 South America Product type and Application Market Size
            13.4.5.1 Brazil  
            13.4.5.2 Venezuela
            13.4.5.3 Argentina
            13.4.5.4 Ecuador
            13.4.5.5 Peru
            13.4.5.6 Colombia 
            13.4.5.7 Costa Rica
            13.4.5.8 Rest of South America
    13.5. Big Data Testing - Europe Segment Research
    13.6 Europe Market Research (Market Size -$Million / $Billion)
        13.6.1 Segment type Size and Market Size Analysis 
        13.6.2 Revenue and Trends
        13.6.3 Application Revenue and Trends by type of Application
        13.6.4 Company Revenue and Product Analysis
        13.6.5 Europe Segment Product type and Application Market Size
            13.6.5.1 U.K  
            13.6.5.2 Germany 
            13.6.5.3 Italy 
            13.6.5.4 France
            13.6.5.5 Netherlands
            13.6.5.6 Belgium
            13.6.5.7 Spain
            13.6.5.8 Denmark
            13.6.5.9. Rest of Europe
    13.7 Big Data Testing – APAC Segment Research
    13.8 APAC Market Research (Market Size -$Million / $Billion)
        13.8.1 Segment type Size and Market Size Analysis 
        13.8.2 Revenue and Trends
        13.8.3 Application Revenue and Trends by type of Application
        13.8.4 Company Revenue and Product Analysis
        13.8.5 APAC Segment – Product type and Application Market Size
            13.8.5.1 China 
            13.8.5.2 Australia
            13.8.5.3 Japan 
            13.8.5.4 South Korea
            13.8.5.5 India
            13.8.5.6 Taiwan
            13.8.5.7 Malaysia
14. Big Data Testing Market - Entropy
    14.1 New product launches
    14.2 M&A's, collaborations, JVs and partnerships
15. Big Data Testing Market – Industry / Segment Competition landscape Premium Premium
    15.1 Market Share Analysis
        15.1.1 Market Share by Country- Top companies
        15.1.2 Market Share by Region- Top 10 companies
        15.1.3 Market Share by type of Application – Top 10 companies
        15.1.4 Market Share by type of Product / Product category- Top 10 companies
        15.1.5 Market Share at global level- Top 10 companies
        15.1.6 Best Practises for companies
16. Big Data Testing Market – Key Company List by Country Premium Premium
17. Big Data Testing Market Company Analysis
    17.1 Market Share, Company Revenue, Products, M&A, Developments
    17.2 Indium
    17.3 TeraData
    17.4 RTTS Inc.
    17.5 Company 4
    17.6 Company 5
    17.7 Company 6
    17.8 Company 7
    17.9 Company 8
    17.10 Company 9
    17.11 Company 10