Big Data Testing Market - Forecast(2020 - 2025)

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

Report Coverage

The report: “Big Data Testing Market Forecast (2020-2025)”, 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 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. 
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.

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.

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.

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 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.
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
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
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
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
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 and more
"*Financials would be provided on a best efforts basis for private companies"
18. Big Data Testing Market - Appendix
18.1. Abbreviations
18.2. Sources
19. Big Data Testing Market - Methodology
19.1. Research Methodology
19.1.1. Company Expert Interviews
19.1.2. Industry Databases
19.1.3. Associations
19.1.4. Company News
19.1.5. Company Annual Reports
19.1.6. Application Trends
19.1.7. New Products and Product database
19.1.8. Company Transcripts
19.1.9. R&D Trends
19.1.10. Key Opinion Leaders Interviews
19.1.11. Supply and Demand Trends