북미 네트워크 테스트 랩 자동화 시장 – 2029년까지의 산업 동향 및 예측

시장 분석 및 규모

산업과 기업이 디지털 혁신 이니셔티브를 가속화함에 따라 새로운 제품 및 기술 주기가 점점 짧아지고 있습니다. 기존 운영 환경에서 새로운 기술 도입의 성공을 보장하려면 실제 세계의 신뢰성, 성능 및 상호 운용성을 위해 장치, 제품 또는 솔루션을 광범위하게 테스트하고 검증할 수 있는 적절한 리소스를 보유하는 것이 중요합니다. 시뮬레이션 환경에서 테스트하는 것은 상당한 미래 위험을 초래하기 때문에 대부분의 기업은 랩 인프라와 전문 지식을 구축하거나 네트워크 테스트 랩 자동화 서비스 제공업체에서 테스트를 받는 데 상당한 투자를 합니다. 산업과 기업의 이러한 새로운 기술과 제품은 이전보다 더 복잡하고 기업은 네트워킹, 테스트, 모니터링 및 자동화에서 기술 격차에 직면하기 때문에 서비스 제공업체가 기업을 대신하여 테스트를 수행합니다. 서비스 제공업체는 제안된 제품에 대해 기능, 성능 또는 회귀와 같은 테스트 유형을 사용하고 테스트에서 다양한 도구의 도움을 받을 수 있습니다. 인공 지능의 도래와 IoT 및 5G와의 통합은 모든 산업에서 디지털 제품의 비율을 높이고 출시 전에 테스트해야 합니다. 이를 통해 앞으로 북미 네트워크 테스트 랩 자동화 시장이 꽃을 피울 것입니다.

Data Bridge Market Research는 북미 네트워크 테스트 랩 자동화 시장이 2029년까지 2,106.91백만 달러 규모에 도달할 것으로 분석했습니다. 네트워크 테스트 랩 자동화 시장 보고서는 또한 가격 분석, 특허 분석, 기술 발전에 대한 심층적인 내용을 다룹니다.     

Market Definition

The process of automating the configuration, operation, deployment, testing, and management of virtual and physical devices in a network is referred to as network automation. The availability of the network service will increase as everyday functions and network testing, as well as repetitive procedures, are handled and controlled automatically. Any network can benefit from network automation. Enterprises, service providers, and data centres can use software and hardware-based solutions to automate their networks, lowering operational costs, reducing human error, and increasing productivity.

Network Test Lab Automation Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers

• Rise in demand for automation and solution for seamless customer experience

Nowadays, research and pathology laboratories have undergone significant evolution in the last two decades. In the labs, there is a growing demand for technologically advanced automated instruments and laboratory systems. Several innovations, including lab automation, are being driven by the desire to improve diagnoses, medication discovery, and research.

With lab automation, different lab scientists and professionals are able to achieve next-gen speed, consistency, and precision in research and report generation. Furthermore, lab automation advancements have resulted in the standardization of processes that help in reducing the number of errors. Therefore, the increasing evaluation of real-time results with the help of automated techniques and the growing cases of diagnosis has resulted in a significant demand for advanced software and cutting-edge automated systems.

• Penetration of cloud based storage options for various lab applications

Over the last few decades, it is reported that 90% of businesses have chosen the cloud-based solutions over traditional computing and data storage methods for benefits like better insights, easier collaboration, and reduced costs for the organizations. However, increased cloud usage means that businesses also need to manage their cloud infrastructure more efficiently in order to manage operational efficiency and reduced complexity. Cloud automation refers to the use of software and processes to automate the provisioning and management of cloud computing workloads and services such as virtual network creation, virtual machine deployment, load balancing, and performance monitoring. Using cloud automation, IT administrators can reduce or eliminate manual processes to lower administrative overhead and speed up the delivery of resources.

Opportunities

• Growing need of network automation & testing for digital transformation

Digital transformation is the process of using digital technologies to transform existing traditional and non-digital business processes and services, or creating new ones, to meet the evolving market and customer expectations. Thus it is completely altering the way businesses are managed and operated, and how value is delivered to customers. Digital transformation is important as it allows organizations to adapt to ever-changing industries and continually improve its operations accordingly. Every digital transformation initiative will have its own specific goals. The main purpose of any digital transformation is to improve the current processes. But, the digital transformation of organizations, it requires extensive planning, proper resource management, testing & development of products and software with huge capital investment. If not done, it can take a long time to implement the software and business model which result leads in a loss of capital and time for an organisation. According to a Bain & Company study, only 8% of global companies have been able to achieve their targeted business outcomes from their investments in digital technology. This makes the integration of network automation and testing very essential for the successful digital transformation.

Restraints/Challenges

• Rise in complexity of lab automation systems and thereby increasing the risk of downtime

Network lab automation processes have been implemented across the globe to benefit from decreasing the necessity for human staff and to perform repetitive tasks by implementing automated machine processes instead. But the higher the complexity of the system, the greater the risk that a system failure would generate serious consequences on laboratory functioning. Many critical system failures, especially involving the assembly lines, would require restoring manual procedures for managing samples (i.e. manual sorting, centrifugation). Although in most labs, it is found that resources are a limiting factor for development and testing. A traditional way to manage the labs and coordinate schedules is to use patch panels and change connections manually. However, this approach is not scalable and is inefficient in many cases.

• Lack of skilled workforce and experienced expertise

Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and Automation are new technologies which have the potential to transform the network testing industry over the next decade. These technological trends have become even more important with the COVID-19 pandemic changing the tech-driven landscape. With the global pandemic changing workforce dynamics, the reliance on cutting-edge software, web, and mobile applications has grown substantially. To support this ever-growing demand, businesses turned to technology to increase the need to release fully functional, feature-rich, and flawless products and software to their end-users. As a result, in came test automation brought the promise of extensive test coverage, scientific test accuracy, streamlined testing operations, lower cost, and increased resource efficiency. This resulted in the need for a large skilled workforce for the industry to meet the rising demand. A skilled worker is any worker who has special skills, training, or knowledge that they can then apply to their work. The skills required for the network testing industry may include proficiency in various programming languages, mastery of leading automation testing tools (codeless ones too), should have experience in manual testing and knowledge of test management tools with an understanding of business requirements. This requirement narrowed down the number of skilled labour for the industry additionally the demand for this role is increasing as less qualified labour is in the industry.

Post COVID-19 Impact on Network Test Lab Automation Market

COVID-19 created a positive impact on the network test lab automation market due to rapid adoption of remote working and cloud infrastructure.

The COVID-19 pandemic has impacted the network test lab automation market to an extent in positive manner. Increasing adoption and utilization of artificial intelligence and machine learning in enterprises has helped the market to grow during and after the pandemic. Also, the growth has been high after the market has opened after COVID-19, and it is expected that there would be considerable growth in the sector owing to higher demand of industry 4.0 and automation technology.

Solution providers are making various strategic decisions to bounce back post-COVID-19. The players are conducting multiple research and development activities to improve the technology involved in the network test lab automation. With this, the companies will bring advanced technologies to the market. In addition, government initiatives for use of automation technology has led to the market's growth

Recent Development

• In April 2022, Keysight Technologies, Inc. announced that its automated field-to-lab device test platform solutions have been selected by Xiaomi. Xiaomi chose Keysight's test tools to verify 5G device performance under a variety of network signaling and radio channel circumstances. To develop advanced 5G test solutions, Keysight effectively combined lab and field-based test capabilities. This collaboration will enhance the client portfolio and the presence of the company.
• In January 2022, Spirent acquires octoScope to expand WiFi testing capabilities. octoScope’s test solutions comprise automated Wi-Fi and 5G testing in emulated real-world-like environments, including the latest WiFi 6 and WiFi 6E technologies. This acquisition will help in wireless network test solutions company to expand WiFi testing capabilities also enhance the services and also brand reorganization across the globe.  

North America Network Test Lab Automation Market Scope

The network test lab automation market is segmented on the basis component, network type, testing type, deployment mode, end-user, organization size, automation type. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Hardware
• Software
• Services

On the basis of component, the North America network test lab automation market is segmented into hardware, software, services.

Network Type

• Physical Network
• Virtual Network
• Hybrid Network

On the basis of network type, the North America network test lab automation market has been segmented into physical network, virtual network, hybrid network.

Testing Type

• Functional Testing
• Regression Testing
• Performance Testing

On the basis of testing type, the North America network test lab automation market has been segmented into functional testing, regression testing, performance testing.

Deployment Mode

• Cloud
• Hybrid
• On-Premise

배포 모드를 기준으로 북미 네트워크 테스트 랩 자동화 시장은 클라우드, 하이브리드, 온프레미스로 구분됩니다.

최종 사용자

• 기업 수직
• 서비스 제공자

최종 사용자를 기준으로 북미 네트워크 테스트 랩 자동화 시장은 기업용 수직형, 서비스 제공업체로 세분화되었습니다.

조직 규모

• 대기업
• 중소기업

조직 규모를 기준으로 북미 네트워크 테스트 랩 자동화 시장은 대기업, 중소기업으로 구분됩니다.

자동화 유형

• 모듈식 자동화
• 전체 실험실 자동화

자동화 유형을 기준으로 북미 네트워크 테스트 랩 자동화 시장은 모듈식 자동화, 전체 랩 자동화로 구분됩니다.

네트워크 테스트 랩 자동화 시장 지역 분석/통찰력

네트워크 테스트 랩 자동화 시장을 분석하고, 위에 언급된 대로 국가, 구성 요소, 네트워크 유형, 테스트 유형, 배포 모드, 최종 사용자, 조직 규모 및 자동화 유형별로 시장 규모에 대한 통찰력과 추세를 제공합니다.

네트워크 테스트 랩 자동화 시장 보고서에서 다루는 국가는 북미의 미국, 캐나다, 멕시코입니다. 미국은 북미 지역에서 우위를 점하고 있는데, 전 세계의 많은 기술 거대 기업이 자리 잡고 있으며, 이들은 시스템, 애플리케이션 및 업데이트를 테스트해야 할 필요가 끊임없이 있기 때문입니다.

보고서의 국가 섹션은 또한 현재 및 미래 시장 추세에 영향을 미치는 개별 시장 영향 요인과 시장 규제의 변화를 제공합니다. 다운스트림 및 업스트림 가치 사슬 분석, 기술 추세 및 포터의 5가지 힘 분석, 사례 연구와 같은 데이터 포인트는 개별 국가의 시장 시나리오를 예측하는 데 사용되는 몇 가지 포인터입니다. 또한 글로벌 브랜드의 존재 및 가용성과 지역 및 국내 브랜드와의 대규모 또는 희소한 경쟁으로 인해 직면한 과제, 국내 관세 및 무역 경로의 영향은 국가 데이터에 대한 예측 분석을 제공하는 동안 고려됩니다.   

경쟁 환경 및 네트워크 테스트 랩 자동화 시장 점유율 분석

네트워크 테스트 랩 자동화 시장 경쟁 구도는 경쟁자별 세부 정보를 제공합니다. 포함된 세부 정보는 회사 개요, 회사 재무, 창출된 수익, 시장 잠재력, 연구 개발 투자, 새로운 시장 이니셔티브, 글로벌 입지, 생산 사이트 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 우세입니다. 위에 제공된 데이터 포인트는 네트워크 테스트 랩 자동화 시장과 관련된 회사의 초점에만 관련이 있습니다.

네트워크 테스트 랩 자동화 시장의 주요 기업으로는 Qualisystems Ltd., Spirent Communications, Lepton, Pluribus Networks, Polatis, Calient Technologies, Fiber Smart Networks, Fiber Mountain, Cisco, Sedona Systems, Anuta Networks, Versa Networks, Netbrain, Juniper Networks, Netscout, Keysight Technologies, ZPE Systems, Inc., Bell Integrator, Danaher, Great Software Laboratory, Accuver, Wipro, Appviewx, Kentik, HCL Technologies 등이 있습니다.

SKU-68667