The software testing market share is expected to surpass $60 billion by 2026, according to a comprehensive research report published by Global Market Insights, Inc.
This is mainly due to the emergence of automated testing services, which are gaining traction to decrease the lifecycle of software development, escalating software testing market share in the ensuing years.
Automation in software testing provides optimal coverage of testing suite since it aligns with the advantages of faster outcomes and fewer business expenses, which will augment software testing industry size.
Enlisted below are a few trends propelling software testing industry growth:
Functional application testing to spur software testing market growth
Functional application testing comprises of integration testing and unit testing. Integration testing accounted for the highest share in software testing industry. Integration testing is done after unit testing, in which an individual unit is merged and tested collectively.
The testing is carried out to detect flaws and faults in interaction among integrated units and components and is likely to remain a lucrative growth avenue for software testing market.
AI to influence market trends
Artificial intelligence (AI) is increasingly being integrated with software testing services due to the escalating demand for mobile and web applications. The Incorporation of AI with software testing improves accuracy and delivers superior software solutions as several industry players are pursuing many strategies to integrate AI to decrease their processing time and improve service performance.
An example of this can be seen dated back to April 2019, Atos announced the inauguration of its novel AI lab in partnership with Google Cloud in Paris, France. The move was aimed at enabling the company to offer the best technologies and boost data processing services with the use of AI.
Booming healthcare industry to bolster software testing market
The development of mobile applications for retail and healthcare industries is rapidly surging.
Consumer demand for digital health diagnosis is being driven by the high adoption of technologies in healthcare applications, which will further accelerate software testing market growth.
In this case, user interface and quality of software can be improved by adopting software testing in healthcare applications.
NA, APAC expected to lead the charge
North America houses numerous software development companies, which, in turn, led the region to generate the majority of share for software testing market revenue. The region has witnessed massive demand for digital health solutions, which has significantly fostered industry share.
Also, the Asia Pacific market is growing rapidly owing to the expansion of online retail business in India and China at an appreciable pace. In parallel, software testing industry players are directing substantial efforts to strengthen their footprints in India due to the availability of skilled IT professionals in the country.
Fierce competition fosters software testing market expansion
A few eminent software testing companies are Cognizant, Accenture, IBM, Infosys, TCS, Amdocs, Wipro, HCL Tech., Atos, and Capgemini. These companies are adopting various strategies, such as mergers, collaborations, acquisitions, and technical innovations to gain a strong competitive edge over other market participants.
For instance, in April 2018, Eurofins Digital Testing announced acquisition of its Edge Testing Solution to expand its software testing services across various sectors. The software testing services of the company include functional, automated, managed, and performance testing.
This article was written by Global Market Insights Inc. outlining expert knowledge regarding the booming software testing market as a whole.
Global games market to surpass $200 Billion by 2023, despite decline
The gaming industry continues to skyrocket upwards with no signs of slowing down, as the COVID-19 pandemic added more fuel to its roaring fire.
This statement was echoed by Amsterdam-based games and esports data company Newzoo’s new report outlining the state of the global games market. Last week, we published our latest games market estimates for subscribers to our Global Games Market Report. We forecast during 2021, the market will generate revenues of $175.8 billion, a small year-on-year decline of -1.1 percent. By the end of the year, there will be 2.9 billion players worldwide.
This is the first time in Newzoo’s history that we forecast the games market to decline, however, our research indicates that it is no cause for concern for the games market’s long-term prospects.
To contextualize the games market in 2021, it is important to mention that 2020 was a unique growth year. COVID-19-related lockdown measures spurred enormous interest in gaming across all regions and platforms.
The Q4 release of the PlayStation 5 and Xbox Series S|X sealed a year of record-breaking growth. We now estimate the games market generated $177.8 billion in 2020, up +23.1 percent year on year, the highest growth for the market since Newzoo began tracking revenues in 2012.
COVID-19’s impact on society and AAA global gaming market
While the impact of the COVID-19 outbreak on engagement and spending in 2020 was positive, there is also a downside to the pandemic’s impact on the games market. The lockdowns in the first half of 2020 affected nearly everyone’s way of working, and gaming studios were no exception.
Furthermore, global supply chains continue to be disrupted by the pandemic.
We now forecast the PC games market to decline -2.8 percent year on year to $35.9 billion in 2021. Of that, $33.3 billion will be spent on downloaded/boxed games, and $2.6 billion will be spent on browser games.
For console, we now forecast the market to decline -8.9 percent to $49.2 billion, as the after-effects of COVID-19 will shape the console market this year.
Delays in game releases affect development and publishing across the market, but the heavier impact is on games with high production values and large teams working together, typically the AAA market for console and—to a lesser extent—PC gaming.
The lineup of games for next-generation consoles has been impacted by the pandemic and will continue to be disrupted for the rest of the year, with many releases already pushed to the second half of this year or even 2022.
The negative impact also affects hardware, as global shortages of chips mean a supply shortage for many consumer electronics, key among which are next-generation consoles and components required for high-end PC gaming.
Like the delays in game releases, we expect the shortage of hardware and components to negatively affect consumer spending on games on PC and console.
Additionally, we now have a clearer idea of what the world will look like once the pandemic is under control, and we have adjusted our global games market forecast accordingly. While we expect a lot of the increased engagement will stick, there will be a short-term return to the levels of engagement and spending of pre-2020 as people enjoy increased freedom and spend their disposable income on non-gaming social activities.
Apple’s IDFA removal looms over the mobile games market
We now forecast mobile gaming to generate $90.7 billion in 2021, growing +4.4 percent year on year. This is more than half of the global games market, as the segment is less affected by the effects of COVID-19 than PC and console gaming.
For mobile games, the relatively lower complexity of development means that the segment is not as impacted by game delays resulting from changing working conditions.
However, Apple’s removal of the IDFA (Identifier for Advertisers) is looming over the market, which will disrupt how many mobile game companies measure the success of their marketing campaigns.
The brunt of the impact of this change will fall on the part of the mobile games market monetized through advertisement (which is not in Newzoo’s scope, as we look at revenues generated through consumer spending) and games that are heavily reliant on precise user targeting.
We also expect an impact on user acquisition and marketing performance measurements that successful mobile publishers rely on to perfect their strategy, but this will be overshadowed on a global scale by other underlying growth drivers.
For example, a significant part of mobile games’ revenue growth comes from China, where Tencent and NetEase’s ecosystems are strong without IDFA. This reliance on first-party player data is just one-way mobile developers and publishers can work around the removal of IDFA.
We are confident that mobile developers will be able to adjust to the new regulation and resume a path to growth fairly quickly, which is why we retain a positive outlook for mobile gaming in 2021 and the years beyond.
Outlook of the global games market
The games market will continue to grow in the following years, exceeding $200 billion at the end of 2023. By then, we forecast the games market to grow with a +7.2 percent CAGR between 2019 and 2023 to $204.6 billion.
To illustrate that 2021 is a mere speedbump in the continued growth of the games market, we revisited the global games market revenue forecast we published in April 2020, when the effect of COVID-19 on the games market was just becoming clear.
While our outlook then was steady growth toward 2023, the impact of COVID-19 on the games market meant that a lot of that growth was frontloaded in 2020. This year will be a corrective year; even with a slight decline, our forecast for 2021 is still above what it was 12 months ago.
Looking ahead, we forecast the games market in 2023 to generate $204.6 billion, almost $4 billion above our forecast 12 months ago.
Mobile gaming will be the fastest-growing segment over the coming years, though console gaming will carry that title for 2022 when the release schedule is overloaded due to delays and more people being able to purchase the new consoles.
This article has been written by Amsterdam-based games and esports data company Newzoo, outlining the state of the global games market during 2021, and beyond.
The Autonomous Future of Today’s CSP
Secure networks have become the heart of our daily lives.
They support teams working from home, mobility, how our children learn at school, how we shop and how we connect with our loved ones. They are also the fabric by which our enterprises do business.
As vital as they are, it comes as no surprise that these networks aren’t just growing, they’re exploding. This growth is being driven by 5G, IoT, IIoT, and trends like software-as-a-service, cloudification, and smart everything. Just check out these figures:
- IDC predicts that there will be close to 56B connected devices worldwide by 2025 and 75 percent of these will be connected to an IoT platform.
- Juniper Research projects that the number of IIoT connections will grow 107 percent, increasing from 17.7 billion in 2020 to 36.8 billion in 2025.
- Statistica reports that the number of Smart Homes in the market worldwide is expected to be 482.8 million in 2025.
The connected economy assumes secure networking (i.e.: SASE) at hyper scale. This in turn creates a requirement for service-level automation because you cannot scale services with point solutions and tools.
This growth is exciting for communications service providers (CSP) but it does unearth critical questions.
The big ones that come to mind for me are, how will we operate all of these endpoints and the network between them? How will we keep them secure? How will we make them reliable enough to literally bet our businesses and lives on them and how will we do this cost effectively at hyper scale?
At this point I’ll provide some background to help explain these concerns.
Today it takes between 5 and 9 man-hours just to deploy a basic secure SD-WAN endpoint. What this number includes are all the benefits of present-day network automation, and the penalty of swivel-chair, cross-domain manual convergence of the endpoint, transport and security domains and policy.
Now for what it doesn’t include. For starters it doesn’t cover ongoing service assurance, auto remediation, security updates, maintenance, restoration and upgrade or optimization operations. It also doesn’t account for service enablement.
In today’s SaaS and cloud-based world, where businesses are looking to leverage digital transformation, speed, and performance enhancements, and where services are being introduced regularly, we become more and more exposed to provider network reliability and security vulnerabilities if we continue to rely on manual processes.
The bottom line is this, you can’t build a smart city on top of a dumb pipe delivering manually mediated end-user value added services.
One option for CSPs is a move to Autonomous Service Operations. Autonomous Service Operations address the fact that there are not enough trained personnel to meet scale requirements, that manual processes are too slow and too expensive, and that the cost and frequency of human errors will much too high.
The critical feature of Autonomous Service Operations is that it is, well, autonomous. Finishing in a very close second, however, is the fact that it operates the entire service, end-to-end, and not just some of the elements.
Let’s use secure networks as an example of why this is so valuable. Secure networks have endpoints, underlay elements (the provider’s physical network), overlay elements (the provider’s virtual network components) and frequently cloud-based elements. They also have security applications and controllers, SD-WAN applications and controllers, and orchestrators at every level and technology domain in the network.
Are you still with me? Now each domain (network, security, application, cloud) has its own individual automation/orchestration tools, which are converged and mediated manually. The good news is that there is plenty of automation in the domains.
The bad news is that the knowledge of the customer, the end-to-end service and the goals (SLA) of the services reside only in humans, and only temporarily while they manually execute cross-domain alignment and orchestration to create the service end-to-end or wade through alarms and tickets to diagnose a failure.
I’ve already touched on the limitations that occur around deployment time and these issues grow when it add on assurance, healing, maintenance and other ‘day two’ operations. For these, this end-to-end service knowledge has to be recreated in order to give the engineer the context for the data which they require to make decisions and act.
Oh, did I mentioned that the end-to-end service context is never stored? This means that the process must be repeated with every outage, every maintenance and every optimization. What happens when there are hundreds of thousands if not millions of instances of converged services in operation?
Autonomous Service Operations can solve these problems AT SCALE by operating at the service level where it encapsulates and retains end-to-end context for each service instance and then works cross-domain to drive the individual domain orchestrators and controllers to meet the goals of the service.
This can all be done at deployment time and continuously for day two operations like assurance, healing, and maintenance. Unlike the manual scenario I mentioned above, in this instance the service context is preserved.
It does not care that the elements, which make up the service are distributed across underlay, overlay and cloud implementations. It also does not care if a third party is providing them or that some elements have controllers, some have orchestrators and some are applications.
In the end, Autonomous Service Operations are essentially an expert AI system that encapsulates the knowledge of the human experts and then applies it at scale and at computer speeds to provide distributed management and control to meet the customer SLAs.
For CSPs this means a dramatic reduction in the time it takes to deploy a secure network service, faster ticket resolution, and acceleration in detection and repair to the point that issues become invisible to customers.
The ability to rapidly bring mass scale service products to market at new standards of profitability and performance through automation is exactly what CSPs need to bring out the full potential of the secure networks.
This is especially vital now in new emerging markets driven by edge computing, 5G and access services to hyper scale cloud providers.
About the author:
Harley is a serial entrepreneur dedicated to creating transformative digital technology solutions that set new standards for economic and human productivity.
Currently, Harley is the Founder and CEO of Sea Street Technology, which provides an AI autonomous operations platform that enables large service providers and top tier enterprises to progressively transform their product lines and businesses to fully autonomous, closed-loop digital services and operations.
Prior to Sea Street, Harley founded LineSider Technologies, where as CEO, he led it to become a leading provider of cloud infrastructure management and network virtualization software. LineSider was later acquired by Cisco Systems.
Endless opportunities at the Intelligent Edge
In the past 24 months we’ve seen Artificial Intelligence (AI) go mainstream with consumers and enterprises. Today you can find AI in automobiles, appliances, wearables, speakers, buildings, industrial systems, and just about everything in between.
These advancements are truly remarkable, and yet we have an insatiable appetite for even better and faster technologies.
As more devices and data get pushed to the edge, a pesky reality emerges—smart devices become less intelligent, can tackle fewer complex tasks, and operate at slower speeds than we demand. The challenges intensify with the widespread use of Internet of Things (IoT), and as 5G becomes increasingly pervasive – but the benefits still outweigh the challenges.
With shifting customer needs, and a new global remote workforce, this is an incredible time for growth in the Telecommunications industry – and the competition is fierce among Communications Service Providers (CSPs) as they race to deliver and enable smarter, faster, and more powerful solutions and services.
To do so, many are betting big on the intelligent edge – the combination of advanced connectivity, compact processing power, and AI located near devices that use and generate data.
Unprecedented opportunity for innovation and growth
According to Deloitte, “The intelligent edge is poised to propel tech and telecom companies toward the next generation of connectivity and efficiency, driving another wave of industry growth.”
The firm predicts that in 2021, the global market for the intelligent edge will expand to $12 billion, continuing a compound annual growth rate (CAGR) of around 35 percent. Expansion in 2021 will be driven primarily by telecoms deploying the intelligent edge for 5G networks, and by hyperscale cloud providers optimizing their infrastructure and service offerings.
By 2023, 70 percent of enterprises will run some amount of data processing at the edge. With more devices and data at the edge and with more diverse bandwidth needing to emerge, CSPS have an opportunity to transform services and the way they are delivered.
In some cases, CSPs are using intelligent edge technologies to provide next-generation data centers and edge hubs to power dynamic connectivity for 5G. Having these capabilities enables CSPs to provide better service quality to subscribers and enterprise customers.
With the intelligent edge, enterprises can remove the traditional data center from the equation and allow the computation to occur precisely when and where it is needed most, all in real-time.
For example, game makers can instantly launch a new VR game by tapping into device intelligence, edge gateways, real-time access to a user’s surroundings – without sending data back and forth and speeding up the entire experience.
Oil rigs, farms, and military operations that often lack reliable connectivity can harness real-time data processing and AI technology to bring digital capabilities to remote regions and sensitive environments.
Another example is healthcare.
In 2020, COVID-19 accelerated the telehealth movement, and it continues to evolve at an amazing pace. By moving to the intelligent edge, healthcare professionals are expanding their remote patient monitor (RPM) capabilities to include people living in remote rural locations.
They can also extend home healthcare to communities that previously lacked the bandwidth to support these services. By reducing latency, and increasing computing power, the remote healthcare experience has become much more viable and effective.
The proof is in the numbers and a recent study indicates that 80 percent of telehealth patients are likely to have another virtual visit.
Whether it is healthcare, automotive, or manufacturing, the intelligent edge has and will continue to open the door to massive growth – and much of the innovation will be driven by and with CSPs. They have a unique opportunity to spark fundamental shifts and critical new revenue streams.
By bringing computing power to the data, not the other way around, CSPs are unlocking the ability to build products and services that will continue to keep us coming back for more. The next 2-3 years are going to be a race among the CSPs, each seeking to take advantage of the amazing technological era we’re living in.
AI, Edge, IoT, and 5G are here to stay – and when combined, there are no limits.
Ravi Kumar Palepu
SVP & Global Solutions Head, Telecom Practice
With more than 20 years of experience in the technology landscape building cutting edge solutions and products, Ravi Kumar Palepu has been in the forefront driving digital transformations for various communication service providers.
Palepu leads the technology council for Telco across locations, issues best practices as well as domain and technical competency for Telco accounts. He has exercised key operations as a part of Global Technology Office leadership and played vital role in filling the void between the GTO and the global Telco accounts.
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