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Global Digital Assurance Market to reach USD xx billion by the end of 2030

Global Digital Assurance Market Size study & Forecast, by Testing Type (Functional Testing Solution, Performance & Usability Testing, Security Testing, API Testing, Network Testing), by Testing Mode (Manual Testing Deployment, Test Automation Deployment), by End-user Verticals (Government, BFSI, Healthcare, Manufacturing, IT & Telecommunication, Media & Entertainment, Others End-Users ) and Regional Analysis, 2023-2030

Product Code: ICTNGT-63618949
Publish Date: 15-11-2023
Page: 200

Global Digital Assurance Market is valued approximately USD xx billion in 2022 and is anticipated to grow with a healthy growth rate of more than 12.9% over the forecast period 2023-2030. Digital Assurance is a broad term in the technology and software industry that encompasses various processes, practices, and strategies aimed at ensuring the quality, reliability, security, and performance of digital systems, applications, and services. It is especially vital in modern digital age, as businesses increasingly rely on technology to supply their goods and services. The Digital Assurance Market is expanding because of factors such as the increasing number of mobile applications and growing demand for Enterprise software. As a result, the demand for Digital Assurance has progressively increased in the international market during the forecast period 2023-2030.

Mobile apps often handle sensitive user data and transactions. With the increasing emphasis on data privacy and security, there is a growing demand for security testing and assurance to protect user information and prevent data breaches. According to Statista, Mobile apps are projected to generate more than USD 613 billion by 2025, with mobile games making up the biggest revenue share among all app categories. Furthermore, in 2023, the average consumer spend on mobile apps per smartphone was approximately USD 5.03. Another important factor that drives the Digital Assurance Market is the increasing demand for Enterprise software. Enterprise software often handles sensitive and confidential data, including financial information, customer data, and intellectual property. The demand for secure enterprise software solutions drives the need for thorough security testing and compliance with industry regulations, which are critical aspects of Digital Assurance. In addition, as per Statista, in 2022, IT spending on corporate software totals over USD 783 billion globally, representing a 7.1% increase over the previous year. Moreover, advancements in testing with the infusion of AI and machine learning technologies and rising API monitoring in the digital economy are anticipated to create lucrative growth opportunities for the market over the forecast period. However, lack of expertise and operational challenges is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Digital Assurance Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the adoption of digital technologies such as agile and DevOps for Quality assurance and testing activities in the region. The region’s dominant performance is anticipated to propel the overall demand for Digital Assurance. Furthermore, Asia Pacific is expected to grow fastest over the forecast period, owing to factors such as rising key government initiatives towards digital transformation, rapidly adopting digital technologies, such as cloud computing, big data analytics, and artificial intelligence in the region.

Major market player included in this report are:
Accenture plc
International Business Machines Corporation
Capgemini SE
Tata Consultancy Services Limited
Infosys Limited
Wipro Limited
Nippon Telegraph and Telephone Data Corporation
Sopra Steria Group
Cognizant Technology Solutions Corporation
HCL Technologies Limited

Recent Developments in the Market:
Ø In February 2023, Apexon and LambdaTest collaborates in a strategic technology partnership aimed at delivering cloud-based quality engineering and assurance solutions. This collaboration empowers enterprise clients to expedite their time-to-market, enhance user experiences, and reduce operational expenses by integrating higher levels of automation, agility, and security into their DevOps workflows. This partnership leverages Apexon’s extensive digital engineering proficiency across various sectors, including healthcare, financial services, automotive, high tech, telecom, and retail, in conjunction with LambdaTest’s HyperExecute platform. LambdaTest’s platform offers swift, intelligent, end-to-end test execution and orchestration, enhancing the effectiveness of quality assurance efforts.

Global Digital Assurance Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Testing Type, Testing Mode, End-user Verticals, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

by Testing Type
Functional Testing Solution
Performance & Usability Testing
Security Testing
API Testing
Network Testing

by Testing Mode
Manual Testing Deployment
Test Automation Deployment

by End-user Verticals
IT & Telecommunication
Media & Entertainment

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Digital Assurance Market, by Region, 2020-2030 (USD Billion)
1.2.2. Digital Assurance Market, by Testing Type, 2020-2030 (USD Billion)
1.2.3. Digital Assurance Market, by Testing Mode, 2020-2030 (USD Billion)
1.2.4. Digital Assurance Market, by End-user Verticals, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Digital Assurance Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Digital Assurance Market Dynamics
3.1. Digital Assurance Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing number of mobile applications Growing demand for Enterprise software
3.1.2. Market Challenges Lack of Expertise Operational Challenges
3.1.3. Market Opportunities Advancements in Testing with the Infusion of AI and Machine Learning Technologies Rising trend of API Monitoring in the Digital Economy
Chapter 4. Global Digital Assurance Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Digital Assurance Market, by Testing Type
5.1. Market Snapshot
5.2. Global Digital Assurance Market by Testing Type, Performance – Potential Analysis
5.3. Global Digital Assurance Market Estimates & Forecasts by Testing Type 2020-2030 (USD Billion)
5.4. Digital Assurance Market, Sub Segment Analysis
5.4.1. Functional Testing Solution
5.4.2. Performance & Usability Testing
5.4.3. Security Testing
5.4.4. API Testing
5.4.5. Network Testing
Chapter 6. Global Digital Assurance Market, by Testing Mode
6.1. Market Snapshot
6.2. Global Digital Assurance Market by Testing Mode, Performance – Potential Analysis
6.3. Global Digital Assurance Market Estimates & Forecasts by Testing Mode 2020-2030 (USD Billion)
6.4. Digital Assurance Market, Sub Segment Analysis
6.4.1. Manual Testing Deployment
6.4.2. Test Automation Deployment
Chapter 7. Global Digital Assurance Market, by End-user Verticals
7.1. Market Snapshot
7.2. Global Digital Assurance Market by End-user Verticals, Performance – Potential Analysis
7.3. Global Digital Assurance Market Estimates & Forecasts by End-user Verticals 2020-2030 (USD Billion)
7.4. Digital Assurance Market, Sub Segment Analysis
7.4.1. Government
7.4.2. BFSI
7.4.3. Healthcare
7.4.4. Manufacturing
7.4.5. IT & Telecommunication
7.4.6. Media & Entertainment
7.4.7. Others End-Users

Chapter 8. Global Digital Assurance Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Digital Assurance Market, Regional Market Snapshot
8.4. North America Digital Assurance Market
8.4.1. U.S. Digital Assurance Market Testing Type breakdown estimates & forecasts, 2020-2030 Testing Mode breakdown estimates & forecasts, 2020-2030 End-user Verticals breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Digital Assurance Market
8.5. Europe Digital Assurance Market Snapshot
8.5.1. U.K. Digital Assurance Market
8.5.2. Germany Digital Assurance Market
8.5.3. France Digital Assurance Market
8.5.4. Spain Digital Assurance Market
8.5.5. Italy Digital Assurance Market
8.5.6. Rest of Europe Digital Assurance Market
8.6. Asia-Pacific Digital Assurance Market Snapshot
8.6.1. China Digital Assurance Market
8.6.2. India Digital Assurance Market
8.6.3. Japan Digital Assurance Market
8.6.4. Australia Digital Assurance Market
8.6.5. South Korea Digital Assurance Market
8.6.6. Rest of Asia Pacific Digital Assurance Market
8.7. Latin America Digital Assurance Market Snapshot
8.7.1. Brazil Digital Assurance Market
8.7.2. Mexico Digital Assurance Market
8.8. Middle East & Africa Digital Assurance Market
8.8.1. Saudi Arabia Digital Assurance Market
8.8.2. South Africa Digital Assurance Market
8.8.3. Rest of Middle East & Africa Digital Assurance Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Accenture plc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. International Business Machines Corporation
9.3.3. Capgemini SE
9.3.4. Tata Consultancy Services Limited
9.3.5. Infosys Limited
9.3.6. Wipro Limited
9.3.7. Nippon Telegraph and Telephone Data Corporation
9.3.8. Sopra Steria Group
9.3.9. Cognizant Technology Solutions Corporation
9.3.10. HCL Technologies Limited
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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