Market Overview:
The global big data testing market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data analytics and the need for quality assurance and testing services for big data applications. By type, the on-premise segment is expected to dominate the global big data testing market during the forecast period, owing to its advantages such as low cost and better security features as compared to on-demand services. By application, BSFI (banking, securities, and financial institutions) is expected to be one of the fastest-growing segments in this market during the forecast period.
Product Definition:
Big data testing is a process of verifying the accuracy and completeness of big data. It is used to ensure that big data meets the business requirements and can be effectively used for decision-making.
On Premise:
On premise is a term used to define software and hardware installation at the customer's site. It includes all the resources required to run, develop, test and deploy applications onpremise. On-premise testing refers to running tests on computers present within the organization rather than using a cloud-based testing platform.
On Demand:
On Demand (OD) is a software-as-a-service model that allows users to subscribe for the services instead of buying the software. It provides them with access to additional features and functionalities without having to pay an additional license or upgrade fees. The service can be used by multiple users simultaneously without requiring any changes in configuration, thereby saving costs related to hardware and infrastructure.
Application Insights:
The application segment is segregated into seven broad categories, namely Banking, Financial and Insurance (BSFI), IT and telecommunications, transportation and logistics, manufacturing, government and defense, e-commerce energy healthcare retail. The BSFI sector dominated the market in 2017 owing to the increasing usage of big data analytics for fraud detection. Moreover with the growing adoption of cloud computing services across various sectors such as financial services banking; e-commerce; media & entertainment among others has led to an increased demand for testing solutions in this sector.
The IT & telecommunication segment is expected to exhibit a lucrative CAGR over the forecast period owing to factors such as rising penetration of smart devices which are increasingly being used by companies for their operations along with an increase in consumer spending on IT products & services thereby generating high revenues for software vendors contributing towards overall growth.
Regional Analysis:
North America dominated the market in 2017. The presence of a large number of technology providers and adoption of advanced technologies are some factors contributing to the growth. Additionally, government initiatives encouraging data protection and security measures are also expected to drive the regional market over the forecast period.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to increasing investments by prominent players in emerging countries such as China, India, Singapore, Australia etc.
Growth Factors:
- Increasing demand for big data analytics and its related services is driving the growth of the big data testing market.
- The growing trend of Bring Your Own Device (BYOD) and increasing number of mobile users are resulting in the generation of large volumes of data, which is further fueling the demand for big data testing solutions and services.
- Rapid expansion in cloud-based deployments is also contributing to the growth of the big data testing market as it requires rigorous performance and security testing before going into production.
- The increasing adoption rate of IoT devices across different industry verticals is generating a huge volume of real-time streaming data, thereby propelling the need for big data testing solutions that can handle such voluminous datasets effectively.
Scope Of The Report
Report Attributes
Report Details
Report Title
Big Data Testing Market Research Report
By Type
On Premise, On Demand
By Application
BSFI, IT and Telecommunications, Transportation and Logistics, Manufacturing, Government and Defence, E-commerce, Healthcare, Energy and Utilities, Retail
By Companies
IBM Corporation, Infosys Limited, Cigniti Technologies Limited, Testplant, Real-Time Technology Solutions, Tricentis, Codoid, GTEN Technologies, Robotium tech
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
202
Number of Tables & Figures
142
Customization Available
Yes, the report can be customized as per your need.
Global Big Data Testing Market Report Segments:
The global Big Data Testing market is segmented on the basis of:
Types
On Premise, On Demand
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BSFI, IT and Telecommunications, Transportation and Logistics, Manufacturing, Government and Defence, E-commerce, Healthcare, Energy and Utilities, Retail
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM Corporation
- Infosys Limited
- Cigniti Technologies Limited
- Testplant
- Real-Time Technology Solutions
- Tricentis
- Codoid
- GTEN Technologies
- Robotium tech
Highlights of The Big Data Testing Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On Premise
- On Demand
- By Application:
- BSFI
- IT and Telecommunications
- Transportation and Logistics
- Manufacturing
- Government and Defence
- E-commerce
- Healthcare
- Energy and Utilities
- Retail
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Big Data Testing Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Big Data Testing is a testing methodology that helps organizations identify and correct issues with their big data solutions.
Some of the major players in the big data testing market are IBM Corporation, Infosys Limited, Cigniti Technologies Limited, Testplant, Real-Time Technology Solutions, Tricentis, Codoid, GTEN Technologies, Robotium tech.
The big data testing market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Big Data Testing Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Big Data Testing Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Big Data Testing Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Big Data Testing Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Big Data Testing Market Size & Forecast, 2018-2028
4.5.1 Big Data Testing Market Size and Y-o-Y Growth
4.5.2 Big Data Testing Market Absolute $ Opportunity
Chapter 5 Global Big Data Testing Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Big Data Testing Market Size Forecast by Type
5.2.1 On Premise
5.2.2 On Demand
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Big Data Testing Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Big Data Testing Market Size Forecast by Applications
6.2.1 BSFI
6.2.2 IT and Telecommunications
6.2.3 Transportation and Logistics
6.2.4 Manufacturing
6.2.5 Government and Defence
6.2.6 E-commerce
6.2.7 Healthcare
6.2.8 Energy and Utilities
6.2.9 Retail
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Big Data Testing Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Big Data Testing Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Big Data Testing Analysis and Forecast
9.1 Introduction
9.2 North America Big Data Testing Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Big Data Testing Market Size Forecast by Type
9.6.1 On Premise
9.6.2 On Demand
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Big Data Testing Market Size Forecast by Applications
9.10.1 BSFI
9.10.2 IT and Telecommunications
9.10.3 Transportation and Logistics
9.10.4 Manufacturing
9.10.5 Government and Defence
9.10.6 E-commerce
9.10.7 Healthcare
9.10.8 Energy and Utilities
9.10.9 Retail
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Big Data Testing Analysis and Forecast
10.1 Introduction
10.2 Europe Big Data Testing Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Big Data Testing Market Size Forecast by Type
10.6.1 On Premise
10.6.2 On Demand
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Big Data Testing Market Size Forecast by Applications
10.10.1 BSFI
10.10.2 IT and Telecommunications
10.10.3 Transportation and Logistics
10.10.4 Manufacturing
10.10.5 Government and Defence
10.10.6 E-commerce
10.10.7 Healthcare
10.10.8 Energy and Utilities
10.10.9 Retail
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Big Data Testing Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Big Data Testing Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Big Data Testing Market Size Forecast by Type
11.6.1 On Premise
11.6.2 On Demand
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Big Data Testing Market Size Forecast by Applications
11.10.1 BSFI
11.10.2 IT and Telecommunications
11.10.3 Transportation and Logistics
11.10.4 Manufacturing
11.10.5 Government and Defence
11.10.6 E-commerce
11.10.7 Healthcare
11.10.8 Energy and Utilities
11.10.9 Retail
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Big Data Testing Analysis and Forecast
12.1 Introduction
12.2 Latin America Big Data Testing Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Big Data Testing Market Size Forecast by Type
12.6.1 On Premise
12.6.2 On Demand
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Big Data Testing Market Size Forecast by Applications
12.10.1 BSFI
12.10.2 IT and Telecommunications
12.10.3 Transportation and Logistics
12.10.4 Manufacturing
12.10.5 Government and Defence
12.10.6 E-commerce
12.10.7 Healthcare
12.10.8 Energy and Utilities
12.10.9 Retail
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Big Data Testing Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Big Data Testing Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Big Data Testing Market Size Forecast by Type
13.6.1 On Premise
13.6.2 On Demand
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Big Data Testing Market Size Forecast by Applications
13.10.1 BSFI
13.10.2 IT and Telecommunications
13.10.3 Transportation and Logistics
13.10.4 Manufacturing
13.10.5 Government and Defence
13.10.6 E-commerce
13.10.7 Healthcare
13.10.8 Energy and Utilities
13.10.9 Retail
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Big Data Testing Market: Competitive Dashboard
14.2 Global Big Data Testing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM Corporation
14.3.2 Infosys Limited
14.3.3 Cigniti Technologies Limited
14.3.4 Testplant
14.3.5 Real-Time Technology Solutions
14.3.6 Tricentis
14.3.7 Codoid
14.3.8 GTEN Technologies
14.3.9 Robotium tech
