Internet of Things (IoT) refers to the connection of physical objects or devices known as ‘Things’ with sensors, software, applications, servers, etc., interconnected through the internet. It allows the exchange of data across devices and sensors and enables devices to interact, collaborate, and learn from each other’s experiences, just like humans. IoT has brought a new wave of connectivity and is changing how businesses interact with their customers and how today’s customers engage with so many smart IoT products.

Content 1. IoT Apps in Insurance – A market outlook 2. Some Important Use Cases of IoT in Insurance 3. Significance of IoT apps in the Insurance 4. An Overview of IoT Testing 5. What is the importance of IoT testing for Insurance? 6. Various Types of IoT Testing Insurance Companies Should Leverage? 7. Conclusion

With billions of IoT devices and numerous IoT apps today, these apps play a significant role in easing human lives by bridging the physical and digital gap. There is much prominence of these IoT apps across all industries in the form of smart homes, connected cars, connected healthcare, smart wearables, smart real estate, smart insurance products, etc. But, the importance of IoT in the insurance sector has been more dominant today with the pandemic all around. Some of the most common insurance types include home insurance, health insurance, automotive insurance, etc. The significance of IoT apps in insurance continues to impact customers in a significant way and easing lives for customers in many ways.

IoT Apps in Insurance – A market outlook

According to Mordor Intelligence, the global IoT market is expected to reach a value of USD 1,386.06 billion by 2026 from USD 761.4 billion in 2020 at a CAGR of 10.53% during the forecast period 2021-2026.

According to MarketsandMarkets, The global IoT insurance market is expected to be worth USD 42.76 billion by 2022, growing at a CAGR of 65.89% during the forecast period (2016-2022.)

McKinsey’s Global Institute predicts that IoT will have an economic impact of between $4 trillion and $11 trillion by 2025.

According to Microsoft’s IoT Signals Report 2020, COVID-19 has accelerated the IoT adoption rate. One in three decision-makers states their organizations will increase investment in IoT due to COVID-19, while another 41% say they will maintain the same level of commitment.

Some Important Use Cases of IoT in Insurance

Smart homes:

There are various IoT devices such as smoke detectors, leak detectors, smart locks, air conditioners, etc., that users can control via IoT-connected apps. These IoT-enabled apps alert users in case of emergencies and help them take safety measures. Moreover, these IoT apps considerably reduce the chances of any probable disasters at homes and duly help reduce home insurance claims to a certain extent.

Connected cars:

Today, cars are getting connected with IoT apps via Telematics. Telematics devices collect data from within the vehicle and send it to the IoT cloud. This data is then pushed to the telematics applications, where stakeholders analyze it to make informed decisions. In case of accidents or mishappenings, an automatic notification is sent to the insurers, which results in faster processing of the insurance claims.

Commercial insurers:

With the help of IoT devices, apps, and sensors embedded in industrial units, commercial insurers adopt a dynamic rating model that enables risk-based pricing for the customers. Real-time data availability enabled by IoT apps helps insurers to manage risk and minimize losses significantly.

Connected healthcare system:

Connected healthcare systems have enabled interactions between healthcare systems, IoT apps, wearables, and healthcare professionals. Some IoT solutions track and monitor people’s heart rate, step counts, blood pressure, etc., in real-time and enable better healthcare services. Health insurers leverage this data to provide customized discounts and offer to customers.

Smart wearables:

Smart wearables such as Fitbit, Fitband, etc., and some other smart health apps such as Google fit, Strava, Sports tracker, etc., help track and monitor the individual’s health in an easy and innovative Insurers track this real-time data to customize insurance policies and offer discounts to individuals who follow a healthy lifestyle.

Connected construction/Smart real estate:

The real estate sector is highly competitive and involves some amount of risk. IoT technology connects job sites, machines, and workers and thus enables insurers to monitor the site virtually, assess land stability, and gather real-time data.

Smart underwriting:

Traditionally, insurance agents had to collect and rely on information provided by the applicants. With the advent of IoT apps in the Insurance sector, the underwriting process has become more efficient and faster. Insurers can create a better and precise client portfolio, assess the risks beforehand, reduce losses and build better relations with policyholders.

Significance of IoT apps in the Insurance

IoT apps are changing the insurance industry dynamics significantly in the following  ways:

IoT apps to reduce insurance risks & claim losses:

IoT apps help insurers gather and analyze real-time customer data to provide better insurance policies, assess risks in advance, reduce chances of unnecessary claim requests, etc. It also helps to increase the overall profitability of insurance companies.  According to a Forbes article, IoT could help insurers cut the cost of the claims process by 30% and lower premiums for consumers.

Let us see how IoT apps are leveraged across the sectors of healthcare, car, and home insurance:

Health insurance –

With the help of IoT apps, insurers now have access to better customer data which they can use to provide better insurance policies.

Health insurance providers can gather insured person’s health data to provide several types of discounts, such as special discounts for non-smokers, women, or unique plans for family or partners.

Car insurance –

With the help of IoT apps, various data points such as credit score, car location, car type, miles driven per year, age, gender, etc., are readily available to insurers.

Insurers leverage this data to offer better pricing models, offers, and discounts to responsible drivers and customers.

Real-time IoT data helps insurers to alert and assist drivers, thereby reducing the chances of unnecessary claims. In unfortunate cases, such as fatal accidents, an automatic notification is routed by IoT sensors to insurers which helps to quicken claims processing.

Home insurance –

Home insurers can gather real-time data via IoT apps and alert the homeowners and residents about the accident, such as any gas leak, water leakage, fire, smoke, robbery, etc.

IoT apps to attract new customers & retain existing ones:

The integration of IoT technology in the insurance sector has inevitably changed the insurance sector dynamics. With the help of IoT-enabled apps, insurers can now attract new customers and retain the existing ones. Certain IoT apps are linked to IoT sensors embedded in automobiles, and the respective app is installed in the vehicle owner’s smartphones. These sensors sense the collision, track the vehicle speed and alert the user by placing a call to the user to check if any assistance is required. If the user does not answer the phone call, the IoT app automatically sets an emergency call along with the vehicle’s location.

IoT apps breakthrough with telematics:

Telematics devices and apps help track and monitor connected cars’ activity. These telematics IoT apps can track the car and gather various data points such as the total number of miles covered, car health, car present value, etc. This way, IoT apps help insurers tailor policies according to the usage and age of the vehicle. Another way is the Usage-Based Insurance (UBI) model using which insurance companies judge the user behaviour based on the usage data collected via IoT apps. This saves customers from high-premium charges, expensive annual plans and also benefits insurance companies with quicker processes.

AI and Blockchain IoT apps for fraud detection:

According to Globe Newswire, the global insurance fraud detection market size is expected to grow from USD 2,518 million in 2019 to USD 7,928 million by 2024, at a CAGR of 25.8% from 2019 to 2024. There are various types of insurance frauds, such as payment fraud, invoice fraud, fraudulent claims, etc.

The AI and Blockchain IoT apps contain Customer Service Points (CSPs) that gather and analyze real-time data such as unexpected high or low app usage, unexpected transactions, high activity of IoT app in a particular location, etc. These CSPs observe abnormalities and alert the insurers, thus saving insurance companies from any probable frauds.

As detailed above, all these Insurance-based IoT apps for health, automotive, home, etc., are expected to perform seamlessly and deliver a great User  Experience (UX). Therefore, businesses should leverage IoT testing to get fully functional, robust, and seamless IoT apps that are bound to deliver great UX.

An Overview of IoT Testing

IoT testing is a software testing type performed on IoT ecosystems (apps, devices, phones) to ensure their usability, security, connectivity, etc. Since IoT is the connection of several devices, it becomes difficult to find where the issue originates. Thus, IoT testing ensures that the IoT apps meet expected quality and performance standards for enabling a great UX. This testing method helps identify and rectify bugs in the IoT apps and improves IoT apps’ quality.

What is the importance of IoT testing for Insurance?

1. Delivers seamless app performance:

The insurance IoT apps are data-driven and work in real-time. Insurance service providers should ensure that IoT apps should perform seamlessly under all conditions. Thus, these seamless IoT apps help insurers reduce paperwork and make them move through the claim process quickly and easily.

2. Helps to manage data complexities:

IoT sensors generate a massive amount of data every millisecond. To achieve proper implementation of IoT, insurance companies need to ensure adequate storage and robust data management capabilities, which can only be achieved by adopting IoT testing of insurance apps.

3. Ensures safety and privacy of data:

The IoT apps are data-centric, and a vast amount of data is being stored and exchanged across devices via IoT apps. It is essential to ensure that no data leak or data loss happens via IoT apps. Also, to protect IoT apps and data from cyber threats, IoT testing is needed.

4. Provides real-time insights:

IoT apps capture, monitor, and analyze the user’s data such as health, behaviour, safety, etc., in real-time. It is essential to test these IoT apps to ensure no delay in tracking time and ensure these apps function effectively.

5. Validates compatibility across devices and OS:

Policyholders access insurance IoT apps on various devices and operating systems. To ensure seamless compatibility of IoT apps across all devices and OS, IoT testing is essential.

6. Improves scalability:

The basic concern of insurance providers is the safety of their customer data. With the help of effective IoT testing, insurers can place themselves as reliable and trustworthy insurance partners. This will improve the brand’s image and scalability of IoT apps in the insurance sector.

7. Helps insurers reach the market early:

IoT has made the world a better-connected place. Insurance service providers are leveraging IoT apps to connect with customers/prospects. It is essential to test IoT apps to ensure insurers reach the market early before competitors and deliver a great experience to customers

8. Saves cost:

End-to-end testing of IoT apps helps insurance providers increase these app’s efficiency. Automatic tracking, maintenance, and alert features of IoT apps help insurers to warn the policyholder well before any incident occurs. This way, insurers can save claim amounts and increase profitability.

9. Improves customer engagement:

IoT apps help insurers gain access to real-time customer data, which helps them provide better policies. This way, insurers design better customer engagement tactics and can also engage more customers.

Various Types of IoT Testing Insurance Companies Should Leverage?

1. Functionality testing:

This software testing method examines IoT sensor’s qualitative and quantitative deliverability and connected IoT apps. It ensures that the IoT apps perform seamlessly and work as expected under all conditions. Automating the functionality tests helps in saving time and ensures quality results.

2. Security testing:

Numerous users access the IoT apps, and a massive amount of data is exchanged across IoT devices and platforms via IoT apps. Thus, it is essential to look at various aspects of IoT apps such as data protection, encryption/decryption, device identity authentication, etc. Also, as there are a lot of interconnected devices and apps, the chances of cyber-threats and vulnerabilities are high, which again necessitates the need for IoT testing.

3. Usability testing:

Customers prefer IoT apps that are easy to use and perform seamlessly. As IoT technologies are being leveraged for smart homes, smart wearables, connected cars, telemedicine, etc., it is evident that only the best performing and easy to use IoT apps are successful. Thus, it is essential to conduct usability testing.

4. Performance testing:

This software testing type checks the performance of IoT apps in real-time. It ensures that the IoT apps perform seamlessly and matches various other performance factors such as network bandwidth, latency, packet loss, number of concurrent users, etc. Automating the performance testing of IoT apps helps in achieving effective testing results.

5. Exploratory testing:

This test is essential as it determines how IoT apps perform under real-world conditions. It helps QA teams evaluate how effectively IoT apps interact with IoT sensors and other interconnected devices.

6. Scalability testing:

This test involves the simulation of sensors by using various virtualization tools and technologies. It is vital to test the functional and non-functional aspects of the IoT apps to ensure the apps are scalable to accommodate future upgrades.

7. Connectivity testing:

This test aims to check the IoT device and application behaviour and performance when the network is subjected to a load or intermittent failure. It helps in building robust IoT apps. The apps are checked for various connectivity issues to ensure they perform well under all conditions

8. Compatibility testing:

This test validates that the IoT apps support and works seamlessly on various combinations of  hardware, software, protocols, and operating systems

9. Regulatory testing:

This test ensures that the apps comply with privacy, government localization, accessibility, and other regulations.

Conclusion

IoT apps are connecting the world like never before. There has been a significant rise in the usage of IoT apps across the healthcare, insurance, and automobile sectors. The ability of IoT apps to track, monitor, and assess real-time data via IoT sensors and devices is immensely helping the insurance sector in offering better insurance services.

End-to-end testing of IoT apps with the latest automation testing techniques can help insurers deliver quality services and enhance UX. Enterprises must leverage IoT testing from a next-gen QA and software testing services provider to achieve robust, next-gen IoT apps.

Talk to our IoT testing experts today

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Content 1. What does IoT mean? 2. What are IoT devices? 3. What is IoT Testing? 4. Different IoT testing approaches to be followed 5. What are the latest IoT Testing trends to look for in 2022 6. Conclusion

What does IoT mean?

IoT which stands for Internet of Things (IoT) which is an elaborate term best described as the network of physical objects named as ‘Things’ that are connected with sensors, software, and other technologies. IoT connects and exchanges data with other devices and sensors broadly over the internet. This interconnection of things transfers data over a network without requiring any human-to-human or human-to-computer interaction.

What are IoT devices?

Specifically, the IoT devices are a piece of hardware devices with sensors that typically transfer data over the internet and these units can be embedded into mobile devices, small industrial equipment, medical devices, and many more.

IoT technology-enabled enterprises to build smart and connected applications to support multiple aspects of customer services.

Primarily, these IoT devices have made human lives easier by delivering better experience with the click of a button. These are used in smart home devices and it is helping to improve the patient’s health & safety with heightened surveillance, monitoring, detection which necessarily brings an improvement and ease of living.

Critically, there is a lot impact of these IoT devices across different industry verticals and for successful working of all these highly interconnected IoT devices, effective IoT testing is critical to ensure their flawless functioning. Hence, in order to ensure that your IoT apps and devices truly deliver real-time information, it is essential to adopt and leverage end-to-end software testing of these IoT interconnected devices.

What is IoT Testing?

This method of IoT testing involves the end-to-end testing of the IoT ecosystem and it ensures the importance of multistage validation. It is essential to test the combination of these IoT devices, phones and apps. This testing process specifically requires real-world IoT testing that is critical for any connected products success.

With today’s enterprises increasing need to deliver faster and quicker smart products across business verticals, these IoT devices have a huge demand to access, create and share data form one device to another. This necessitates the proper transfer of information between IoT devices to deliver great customer experience and ease of usage of information which definitely demands that these devices should be tested with different IoT testing approaches to ensure they deliver seamless performance.

Different IoT testing approaches to be followed

Functionality testing:

Security testing:

Usability testing:

Performance testing:

Scalability testing:

Exploratory testing:

Connectivity testing:

What are the Latest IoT Testing Trends to Look for in 2022

Blockchain for IoT Security:

Edge Computing:

AI & ML for Data Analytics:

Software-as-a-Service to dominate:

Conclusion

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For Industry 4.0, disruption is the best word to define it with significant factors of dominance around Cyber-Physical Systems (CPS), Internet of Things (IoT), Industrial Internet of Things (IIoT), Cloud Computing, Cognitive Computing and Artificial Intelligence (AI). This fourth industrial revolution is also characterized by IoT and Internet of Services (IoS) concepts into digital manufacturing which enables smart factories with integrated production systems to be well placed in digital ecosystems. software testing methods

Contents 1. Role of Software Testing in Industry 4.0 2. Next-Gen Software Testing Methods to Dominate Industry 4.0 3. IoT Testing 4. Big data testing 5. Adoption of AI in Testing 6. Crowd Testing 7. What are the benefits for Enterprises with the Industry 4.0 in Place? 8. Conclusion

According to the market research report, Industry 4.0 Market, the market was earlier valued at USD 66.67 Billion in 2016 and is expected to reach USD 152.31 Billion by 2022, at a CAGR of 14.72% between 2017 and 2022.”

Significantly, the major innovation lies in CPS enabling new means of communication among devices, production assets, and information systems to work in an orchestrated and decentralized way in real-time. As innovation continues to occur at rocket speed, enterprise CXOs continue to face issues with the flexibility of products and compatibility issues of devices, along with various other limitations to enable stable and high-performing IoT connected systems. In order to overcome these challenges of Industry 4.0, the software testing process comes into place!

Role of Software Testing in Industry 4.0

It is a facet of testing the world of connectedness with IoT gadgets, virtual reality, wearables with real-time associations along with testing of the intervened digital ecosystems. Software testing involves the process by which scalability, flexibility, and tangibility of the connected devices is achieved.

The functionality and usability of these connected devices should be tested thoroughly to ensure effective working in the digital ecosystem. Extensive testing is fundamental to ensure successful IoT product launches into the market that delivers value.

Moreover, these IoT devices are connected to various apps on smartphones, tablets or laptops; each with different operating systems, versions and different devices for which crowd testing can be a good fit. Some of the other critical next-gen software testing methods include Smart wearables testing, IoT testing, Big Data testing, and usage of AI in testing. A recent report by Markets and Markets states that “The IoT testing market size is estimated to grow from USD 302.9 Million in 2016 to USD 1,378.5 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 35.4% from 2016 to 2021.”

In addition, the current business trend shows constant upgrading and modernizing of businesses to provide the best products which have a wide scope for the future. And, to reach this goal, the best way is to perform robust and continuous software testing. End-to-end software testing helps enterprises to be flexible to face the challenges and respond to the ever-changing market needs. This effective software testing can be achieved by embracing the below listed next-gen software testing methods that are bound to dominate the industry 4.0.

Next-Gen Software Testing Methods to Dominate Industry 4.0

1. IoT Testing:

The IoT ecosystem encompasses mainstream applications including home automation, smart appliances, wearables, health and fitness apps and more. The industrial IoT (IIoT) embraces the same concepts of Industry 4.0 and includes the integration of some of the more complex devices and systems with networked sensors and software. Evidently, IoT testing involves various types of tests across all system components.

The various types of IoT testing required to enable scalability, performance, and security of smart (connected) applications involves Edge testing, Protocol and device interoperability testing, Security and privacy testing, network impact testing, performance, and real-time testing, and end-user application testing. IoT testing also involves the performance testing of software-hardware components of devices, Compatibility testing across multiple domains, user-experience testing and exploratory testing.

2.Big data testing:

With the influx of millions of connected devices, IoT triggers a massive inflow of Big data. The data consists of structured data, unstructured data, images, contextual data, and real-time data. Big data should be augmented to effectively store, manage and extract value from continuous streams of IoT sensors data.

Sensors, in reality, send gigabytes of data that can be used by big data technologies to process it and deduce valuable insights to help in quick decision making. Therefore, it has become a clearneed to  test big data and gain insights from patterns to understand data behavior.

3. Adoption of AI in Testing:

The usage of AI technologies like deep learning and machine learning algorithms help derive insights rapidly from IoT connected devices. The IoT continues to proliferate as connected smart devices become critical for individuals and businesses. The IoT market is projected to be worth $1,490.31 billion by 2024, this explosive growth is set to continue more in the coming years. IoT allows the flow of data between devices, and AI can be helpful.

Evidently, as much of the IoT application is composed of services outside the control of the application, an effective way of test automation strategy is to embrace AI and ML (Machine learning). It requires intelligent models to auto-generate tests using AI and ML that allow teams to analyze data from testing and to identify patterns. Moreover, AI is expected to be the key enabler to the growth of the future IoT revolution with digital ecosystems all around and is expected to take it to a new level.

4. Crowd Testing:

Crowd testing is an effective technique that is applied to a system under test. It basically involves the testing of software on a large number of devices, browsers, and operating systems and significantly, all tests are executed in parallel by different testers. This sort of testing not only involves testing the software configurations, but it also involves the APIs testing with other connected devices. Crowd testing tests on various markets, regions and on a variety of devices which helps to get an understanding of the functionality and usability of the system under test in various conditions.

Generally, in crowd testing the client, the organizer of the test, and a pool of crowd testers are involved. Today, crowd testing is gaining importance in the world of connected devices esp Industry 4.0 with a range of benefits. The benefits with Crowd testing are huge, as it helps to coordinate with the testers on different environments, on various languages, and with different professionals having access to various devices across regions.

What are the benefits for Enterprises with the Industry 4.0 in Place?

Improves real-time Decision making:

By updating to industry 4.0, enterprises can improve their real-time decision making by collating, comprehending, and streamlining the data from various sources, such as from network sensors, customer-management systems, production equipment, etc. to efficiently track them and utilize in the best possible manner to deliver good insights to the management.

Improves and Eases Routine Tasks:

 With the help of AI and ML algorithms in place along with IoT in today’s industry 4.0, it becomes easier to interact and perform tasks better with smart devices. This way of smart devices increases productivity and ensures better life style and also improves user experience by easing and simplifying routine tasks.

Enhances connectivity across departments:

For any enterprise, working in-collaboration is an important need to meet the product standards. This can be exclusively achieved with Industry 4.0, as the universal data-integration networks help to increase the connection among suppliers, departments, and partners. This will effectively improve communication between the stakeholders in a large way.

Accelerates development and product delivery: 

The IoT provides a high-quality environment where any development from any industrial environment can be achieved to ensure faster release to production. The smart machines not only act as the best resources, but they are excellent to analyze and capture the data than humans. These industry 4.0 practices will effectively drive faster business decisions with more accuracy and also ensures better and quicker product delivery.

Helps to understand Customers Better:

Data analytics usage in industry 4.0 effectively helps companies to understand more about what customers expect. This will help the enterprises to develop the product as per the customer needs and strengthen customer interactions. As the products get developed as per the customer requirements, this will effectively help the enterprises to improve their customer base.

Conclusion

Significantly, in the coming years with industry 4.0 invasion, software testing will continue to play a significant role. There is an enduring need for all these digital ecosystems to work seamlessly to deliver true benefits. As the digital ecosystems are widespread, they need an elaborate IoT Testing, Big Data Testing, Testing with AI, and Crowd Testing methodologies, for which a next-gen Specialist QA services provider should be partnered to thoroughly test Industry 4.0 applications.

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As IoT technology continues to evolve at an incredibly rapid pace, consumers and businesses are conjecturing about the new challenges that will be faced in this year and beyond. Let’s find out the top 5 challenges that the IoT eco-system will face in 2018.

IoT Testing Challenges:

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Internet of Things (IoT) is taking over the world both in the idea as well as practice by transforming the way industries are working together. IoT has initiated the quicker advancement of ideas that affect our everyday activities. It has also helped in accelerating the technical world’s proficiency to make digital ecosystems of the future an existing reality.

Contents 1. IoT Testing 2. Unique features and requirements of IoT Systems 3. Challenges Impeding IoT Testing 4. 5 Major Types of IoT Testing 5. TestingXperts’ IoT Testing Solution

IoT Testing

It has become a reality that the world is ready to consider and leverage for better results. Its acceptance can be accredited to many of its core features such as:

• Increase of various protocols

• Proficient Machine to Machine communication

• Overall smart working and living

• Unification of several embedded devices

Unique features and requirements of IoT systems

Compared to other applications, IoT applications are categorized by several unique factors, such as:

• Combination of sensors, gateways, hardware, connectors, and application software in a single system

• Real-time stream analytics and intricate event processing

• Support for data velocity, volume, variety, and veracity

• Conception of large-scale data

Challenges Impeding IoT Testing

• Security and data privacy: Impending security vulnerabilities across various layers of IoT system

• Real-time complexities: IoT applications can have various, real-time scenarios and its use cases are complex

• Dynamic environment: With millions of sensors and devices in combination with intelligent software, IoT has a dynamic environment, unlike application testing that is performed in a defined environment.

• Expertise to automate: Due to numerous scenarios and dependency on sensors and devices, automation has become a challenging process

• Scalability of the system: Building a test environment to measure functionality along with scalability and consistency is challenging

5 Major Types of IoT Testing

With the advancement in technology, a whole new level of complexity has been introduced for testing IoT devices. To abridge the complexities involved in IoT testing process, testers can allude to these 5 IoT testing types:

1. Security Testing

2. Performance Testing

3. Compatibility Testing

4. User-Experience Testing

5. Exploratory Testing

TestingXperts’ IoT Testing Solution

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The Internet of Things (IoT) is turning into an inexorably developing subject of discussion both in the workplace and outside of it. It is a notion that can not only affect how we live but also how we function. Having said this, let’s understand what exactly is the Internet of Things and what influence does it have on people.

Contents 1. Internet of Things (IoT) 2. Need Of Internet Of Things (IOT) Testing 3. Challenges involved with IoT solutions 4. How is TestingXperts addressing these challenges?

Internet of Things (IoT)

There are many complexities around IoT, and hence we need to understand the basic premise on which it functions/operates.  There are many specialized and technical discussions happening around the world, and people are slowly grasping the nuances of IoT.

The idea of IoT was presented and reported in mid-1999 by Kevin Ashton. Internet of Things (IoT) is the network of physical gadgets or devices that are installed with actuators, sensors, and customized programming, building connectivity for trading information with the operator, manufacturer, and other associated devices. These IoT-empowered devices report to the web in a dual-enabled mode to transmit detailed data to backend systems whenever required.

Need Of Internet Of Things (IOT) Testing

With sensors installed all over, the world is turning out to be progressively connected. With sensors progressively connecting all physical devices and applications, there is an increased need to revamp the traditional testing approach. The IoT is about reporting real-time data, permitting users to make quick, informed decisions.

To ensure that your apps and devices stand up to real-time scenarios, it is important to move part of your testing into the real world with poor connectivity and less than normal conditions established. This will ensure the level of quality regardless of what they are put through.

The IoT has enabled enterprises to build various smart and connected applications to reinforce multiple dimensions of customer retention and engagements. The number of connected things is set to explode and expected to reach around 50 billion by 2020. Owing to these advancements in the IoT, smart and connected solutions will soon be enabling enterprises to use software to monitor real-world experiences of the customers.

#IoT is turning into a developing subject of discussion. Read our blog & discover the need for testing IoT https://t.co/HzmbfDIPSo

— TestingXperts (@TestingXperts) December 19, 2016

Challenges involved with IoT solutions

How is TestingXperts addressing these challenges?

TestingXperts’ comprehensive QA strategy can handle the unique requirements and challenges associated with validating IoT set-up. Our test solution includes a combination of tests including iot test automation tools, frameworks, and devices. Our extensive test framework provides capabilities required to perform load simulation, security verification, and functional validation. Furthermore, our in-house test automation solution ‘Tx-Automate’ is combined with simulators and can enable end to end rigorous automation.

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