International Journal of Engineering and Advanced Technology Impact Factor 2024-2025 - ResearchHelpDesk - International Journal of Engineering and Advanced Technology (IJEAT) is having Online-ISSN 2249-8958, bi-monthly international journal, being published in the months of February, April, June, August, October, and December by Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) Bhopal (M.P.), India since the year 2011. It is academic, online, open access, double-blind, peer-reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. All submitted papers will be reviewed by the board of committee of IJEAT. Aim of IJEAT Journal disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. dispense a platform for publishing results and research with a strong empirical component. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. seek original and unpublished research papers based on theoretical or experimental works for the publication globally. publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. impart a platform for publishing results and research with a strong empirical component. create a bridge for a significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. solicit original and unpublished research papers, based on theoretical or experimental works. Scope of IJEAT International Journal of Engineering and Advanced Technology (IJEAT) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. The main topic includes but not limited to: 1. Smart Computing and Information Processing Signal and Speech Processing Image Processing and Pattern Recognition WSN Artificial Intelligence and machine learning Data mining and warehousing Data Analytics Deep learning Bioinformatics High Performance computing Advanced Computer networking Cloud Computing IoT Parallel Computing on GPU Human Computer Interactions 2. Recent Trends in Microelectronics and VLSI Design Process & Device Technologies Low-power design Nanometer-scale integrated circuits Application specific ICs (ASICs) FPGAs Nanotechnology Nano electronics and Quantum Computing 3. Challenges of Industry and their Solutions, Communications Advanced Manufacturing Technologies Artificial Intelligence Autonomous Robots Augmented Reality Big Data Analytics and Business Intelligence Cyber Physical Systems (CPS) Digital Clone or Simulation Industrial Internet of Things (IIoT) Manufacturing IOT Plant Cyber security Smart Solutions – Wearable Sensors and Smart Glasses System Integration Small Batch Manufacturing Visual Analytics Virtual Reality 3D Printing 4. Internet of Things (IoT) Internet of Things (IoT) & IoE & Edge Computing Distributed Mobile Applications Utilizing IoT Security, Privacy and Trust in IoT & IoE Standards for IoT Applications Ubiquitous Computing Block Chain-enabled IoT Device and Data Security and Privacy Application of WSN in IoT Cloud Resources Utilization in IoT Wireless Access Technologies for IoT Mobile Applications and Services for IoT Machine/ Deep Learning with IoT & IoE Smart Sensors and Internet of Things for Smart City Logic, Functional programming and Microcontrollers for IoT Sensor Networks, Actuators for Internet of Things Data Visualization using IoT IoT Application and Communication Protocol Big Data Analytics for Social Networking using IoT IoT Applications for Smart Cities Emulation and Simulation Methodologies for IoT IoT Applied for Digital Contents 5. Microwaves and Photonics Microwave filter Micro Strip antenna Microwave Link design Microwave oscillator Frequency selective surface Microwave Antenna Microwave Photonics Radio over fiber Optical communication Optical oscillator Optical Link design Optical phase lock loop Optical devices 6. Computation Intelligence and Analytics Soft Computing Advance Ubiquitous Computing Parallel Computing Distributed Computing Machine Learning Information Retrieval Expert Systems Data Mining Text Mining Data Warehousing Predictive Analysis Data Management Big Data Analytics Big Data Security 7. Energy Harvesting and Wireless Power Transmission Energy harvesting and transfer for wireless sensor networks Economics of energy harvesting communications Waveform optimization for wireless power transfer RF Energy Harvesting Wireless Power Transmission Microstrip Antenna design and application Wearable Textile Antenna Luminescence Rectenna 8. Advance Concept of Networking and Database Computer Network Mobile Adhoc Network Image Security Application Artificial Intelligence and machine learning in the Field of Network and Database Data Analytic High performance computing Pattern Recognition 9. Machine Learning (ML) and Knowledge Mining (KM) Regression and prediction Problem solving and planning Clustering Classification Neural information processing Vision and speech perception Heterogeneous and streaming data Natural language processing Probabilistic Models and Methods Reasoning and inference Marketing and social sciences Data mining Knowledge Discovery Web mining Information retrieval Design and diagnosis Game playing Streaming data Music Modelling and Analysis Robotics and control Multi-agent systems Bioinformatics Social sciences Industrial, financial and scientific applications of all kind 10. Advanced Computer networking Computational Intelligence Data Management, Exploration, and Mining Robotics Artificial Intelligence and Machine Learning Computer Architecture and VLSI Computer Graphics, Simulation, and Modelling Digital System and Logic Design Natural Language Processing and Machine Translation Parallel and Distributed Algorithms Pattern Recognition and Analysis Systems and Software Engineering Nature Inspired Computing Signal and Image Processing Reconfigurable Computing Cloud, Cluster, Grid and P2P Computing Biomedical Computing Advanced Bioinformatics Green Computing Mobile Computing Nano Ubiquitous Computing Context Awareness and Personalization, Autonomic and Trusted Computing Cryptography and Applied Mathematics Security, Trust and Privacy Digital Rights Management Networked-Driven Multicourse Chips Internet Computing Agricultural Informatics and Communication Community Information Systems Computational Economics, Digital Photogrammetric Remote Sensing, GIS and GPS Disaster Management e-governance, e-Commerce, e-business, e-Learning Forest Genomics and Informatics Healthcare Informatics Information Ecology and Knowledge Management Irrigation Informatics Neuro-Informatics Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Soft computing Signal and Speech Processing Natural Language Processing 11. Communications Microstrip Antenna Microwave Radar and Satellite Smart Antenna MIMO Antenna Wireless Communication RFID Network and Applications 5G Communication 6G Communication 12. Algorithms and Complexity Sequential, Parallel And Distributed Algorithms And Data Structures Approximation And Randomized Algorithms Graph Algorithms And Graph Drawing On-Line And Streaming Algorithms Analysis Of Algorithms And Computational Complexity Algorithm Engineering Web Algorithms Exact And Parameterized Computation Algorithmic Game Theory Computational Biology Foundations Of Communication Networks Computational Geometry Discrete Optimization 13. Software Engineering and Knowledge Engineering Software Engineering Methodologies Agent-based software engineering Artificial intelligence approaches to software engineering Component-based software engineering Embedded and ubiquitous software engineering Aspect-based software engineering Empirical software engineering Search-Based Software engineering Automated software design and synthesis Computer-supported cooperative work Automated software specification Reverse engineering Software Engineering Techniques and Production Perspectives Requirements engineering Software analysis, design and modelling Software maintenance and evolution Software engineering tools and environments Software engineering decision support Software design patterns Software product lines Process and workflow management Reflection and metadata approaches Program understanding and system maintenance Software domain modelling and analysis Software economics Multimedia and hypermedia software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial intelligent methods, models, techniques Artificial life and societies Swarm intelligence Smart Spaces Autonomic computing and agent-based systems Autonomic computing Adaptive Systems Agent architectures, ontologies, languages and protocols Multi-agent systems Agent-based learning and knowledge discovery Interface agents Agent-based auctions and marketplaces Secure mobile and multi-agent systems Mobile agents SOA and Service-Oriented Systems Service-centric software engineering Service oriented requirements engineering Service oriented architectures Middleware for service based systems Service discovery and composition Service level

✅ International Journal of Engineering and Advanced Technology ISSN - ResearchHelpDesk - International Journal of Engineering and Advanced Technology (IJEAT) is having Online-ISSN 2249-8958, bi-monthly international journal, being published in the months of February, April, June, August, October, and December by Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) Bhopal (M.P.), India since the year 2011. It is academic, online, open access, double-blind, peer-reviewed international journal. It aims to publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. All submitted papers will be reviewed by the board of committee of IJEAT. Aim of IJEAT Journal disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. dispense a platform for publishing results and research with a strong empirical component. aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. seek original and unpublished research papers based on theoretical or experimental works for the publication globally. publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. impart a platform for publishing results and research with a strong empirical component. create a bridge for a significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. solicit original and unpublished research papers, based on theoretical or experimental works. Scope of IJEAT International Journal of Engineering and Advanced Technology (IJEAT) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Civil Engineering, Mechanical Engineering, Textile Engineering and all interdisciplinary streams of Engineering Sciences. The main topic includes but not limited to: 1. Smart Computing and Information Processing Signal and Speech Processing Image Processing and Pattern Recognition WSN Artificial Intelligence and machine learning Data mining and warehousing Data Analytics Deep learning Bioinformatics High Performance computing Advanced Computer networking Cloud Computing IoT Parallel Computing on GPU Human Computer Interactions 2. Recent Trends in Microelectronics and VLSI Design Process & Device Technologies Low-power design Nanometer-scale integrated circuits Application specific ICs (ASICs) FPGAs Nanotechnology Nano electronics and Quantum Computing 3. Challenges of Industry and their Solutions, Communications Advanced Manufacturing Technologies Artificial Intelligence Autonomous Robots Augmented Reality Big Data Analytics and Business Intelligence Cyber Physical Systems (CPS) Digital Clone or Simulation Industrial Internet of Things (IIoT) Manufacturing IOT Plant Cyber security Smart Solutions – Wearable Sensors and Smart Glasses System Integration Small Batch Manufacturing Visual Analytics Virtual Reality 3D Printing 4. Internet of Things (IoT) Internet of Things (IoT) & IoE & Edge Computing Distributed Mobile Applications Utilizing IoT Security, Privacy and Trust in IoT & IoE Standards for IoT Applications Ubiquitous Computing Block Chain-enabled IoT Device and Data Security and Privacy Application of WSN in IoT Cloud Resources Utilization in IoT Wireless Access Technologies for IoT Mobile Applications and Services for IoT Machine/ Deep Learning with IoT & IoE Smart Sensors and Internet of Things for Smart City Logic, Functional programming and Microcontrollers for IoT Sensor Networks, Actuators for Internet of Things Data Visualization using IoT IoT Application and Communication Protocol Big Data Analytics for Social Networking using IoT IoT Applications for Smart Cities Emulation and Simulation Methodologies for IoT IoT Applied for Digital Contents 5. Microwaves and Photonics Microwave filter Micro Strip antenna Microwave Link design Microwave oscillator Frequency selective surface Microwave Antenna Microwave Photonics Radio over fiber Optical communication Optical oscillator Optical Link design Optical phase lock loop Optical devices 6. Computation Intelligence and Analytics Soft Computing Advance Ubiquitous Computing Parallel Computing Distributed Computing Machine Learning Information Retrieval Expert Systems Data Mining Text Mining Data Warehousing Predictive Analysis Data Management Big Data Analytics Big Data Security 7. Energy Harvesting and Wireless Power Transmission Energy harvesting and transfer for wireless sensor networks Economics of energy harvesting communications Waveform optimization for wireless power transfer RF Energy Harvesting Wireless Power Transmission Microstrip Antenna design and application Wearable Textile Antenna Luminescence Rectenna 8. Advance Concept of Networking and Database Computer Network Mobile Adhoc Network Image Security Application Artificial Intelligence and machine learning in the Field of Network and Database Data Analytic High performance computing Pattern Recognition 9. Machine Learning (ML) and Knowledge Mining (KM) Regression and prediction Problem solving and planning Clustering Classification Neural information processing Vision and speech perception Heterogeneous and streaming data Natural language processing Probabilistic Models and Methods Reasoning and inference Marketing and social sciences Data mining Knowledge Discovery Web mining Information retrieval Design and diagnosis Game playing Streaming data Music Modelling and Analysis Robotics and control Multi-agent systems Bioinformatics Social sciences Industrial, financial and scientific applications of all kind 10. Advanced Computer networking Computational Intelligence Data Management, Exploration, and Mining Robotics Artificial Intelligence and Machine Learning Computer Architecture and VLSI Computer Graphics, Simulation, and Modelling Digital System and Logic Design Natural Language Processing and Machine Translation Parallel and Distributed Algorithms Pattern Recognition and Analysis Systems and Software Engineering Nature Inspired Computing Signal and Image Processing Reconfigurable Computing Cloud, Cluster, Grid and P2P Computing Biomedical Computing Advanced Bioinformatics Green Computing Mobile Computing Nano Ubiquitous Computing Context Awareness and Personalization, Autonomic and Trusted Computing Cryptography and Applied Mathematics Security, Trust and Privacy Digital Rights Management Networked-Driven Multicourse Chips Internet Computing Agricultural Informatics and Communication Community Information Systems Computational Economics, Digital Photogrammetric Remote Sensing, GIS and GPS Disaster Management e-governance, e-Commerce, e-business, e-Learning Forest Genomics and Informatics Healthcare Informatics Information Ecology and Knowledge Management Irrigation Informatics Neuro-Informatics Open Source: Challenges and opportunities Web-Based Learning: Innovation and Challenges Soft computing Signal and Speech Processing Natural Language Processing 11. Communications Microstrip Antenna Microwave Radar and Satellite Smart Antenna MIMO Antenna Wireless Communication RFID Network and Applications 5G Communication 6G Communication 12. Algorithms and Complexity Sequential, Parallel And Distributed Algorithms And Data Structures Approximation And Randomized Algorithms Graph Algorithms And Graph Drawing On-Line And Streaming Algorithms Analysis Of Algorithms And Computational Complexity Algorithm Engineering Web Algorithms Exact And Parameterized Computation Algorithmic Game Theory Computational Biology Foundations Of Communication Networks Computational Geometry Discrete Optimization 13. Software Engineering and Knowledge Engineering Software Engineering Methodologies Agent-based software engineering Artificial intelligence approaches to software engineering Component-based software engineering Embedded and ubiquitous software engineering Aspect-based software engineering Empirical software engineering Search-Based Software engineering Automated software design and synthesis Computer-supported cooperative work Automated software specification Reverse engineering Software Engineering Techniques and Production Perspectives Requirements engineering Software analysis, design and modelling Software maintenance and evolution Software engineering tools and environments Software engineering decision support Software design patterns Software product lines Process and workflow management Reflection and metadata approaches Program understanding and system maintenance Software domain modelling and analysis Software economics Multimedia and hypermedia software engineering Software engineering case study and experience reports Enterprise software, middleware, and tools Artificial intelligent methods, models, techniques Artificial life and societies Swarm intelligence Smart Spaces Autonomic computing and agent-based systems Autonomic computing Adaptive Systems Agent architectures, ontologies, languages and protocols Multi-agent systems Agent-based learning and knowledge discovery Interface agents Agent-based auctions and marketplaces Secure mobile and multi-agent systems Mobile agents SOA and Service-Oriented Systems Service-centric software engineering Service oriented requirements engineering Service oriented architectures Middleware for service based systems Service discovery and composition Service level agreements

Enterprise Streaming Media Market Outlook

According to our latest research, the enterprise streaming media market size reached USD 29.8 billion in 2024, reflecting robust adoption across multiple industries. The market is projected to expand at a CAGR of 15.4% from 2025 to 2033, reaching an estimated USD 93.2 billion by 2033. This strong growth trajectory is primarily driven by the escalating demand for seamless corporate communications, remote training solutions, and the increasing integration of video technologies within enterprise environments. As organizations prioritize digital transformation and employee engagement, the enterprise streaming media market is positioned for significant expansion over the coming decade.

A major growth factor for the enterprise streaming media market is the increasing necessity for real-time, scalable, and secure communication platforms within organizations. The shift towards hybrid and remote work models has accelerated the adoption of streaming solutions for live events, town halls, and internal communications. Enterprises are leveraging these platforms to ensure uninterrupted information flow and foster collaboration among geographically dispersed teams. Furthermore, the growing preference for video-based learning and employee training has amplified the demand for enterprise streaming media, enabling organizations to deliver interactive, on-demand content that enhances knowledge retention and engagement. As a result, enterprises are investing heavily in advanced streaming technologies and infrastructure to support their evolving communication needs.

Another significant driver is the integration of artificial intelligence and analytics into enterprise streaming media solutions. AI-powered features such as automated transcription, real-time language translation, content indexing, and personalized recommendations are transforming the way organizations utilize streaming content. These advancements not only improve accessibility and user experience but also provide valuable insights into viewer engagement and content effectiveness. Enterprises are increasingly using data-driven analytics to optimize their streaming strategies, tailor content to specific audiences, and measure the impact of their communication initiatives. As AI and analytics capabilities continue to mature, their integration into streaming platforms is expected to unlock new levels of efficiency and value for enterprise users.

The proliferation of cloud-based deployment models is also contributing to the rapid growth of the enterprise streaming media market. Cloud solutions offer unparalleled scalability, flexibility, and cost-efficiency, making them an attractive choice for organizations of all sizes. With cloud-based streaming, enterprises can easily manage high volumes of live and on-demand content, support global audiences, and ensure robust security and compliance. Additionally, the rise of mobile and BYOD (Bring Your Own Device) policies has further fueled the adoption of cloud-based streaming, enabling employees to access content from any device, anywhere. This shift towards cloud-native architectures is expected to drive continued innovation and accelerate market growth throughout the forecast period.

From a regional perspective, North America currently leads the enterprise streaming media market, followed closely by Europe and Asia Pacific. The region's dominance is attributed to the early adoption of advanced digital communication technologies, a strong presence of leading market players, and significant investments in IT infrastructure. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period, driven by rapid digital transformation, expanding enterprise ecosystems, and increasing demand for innovative streaming solutions in emerging economies such as China and India. As organizations worldwide continue to embrace digital communication strategies, the global enterprise streaming media market is expected to experience widespread growth and diversification across all key regions.

Component A

Image Noise Reduction Software Market Outlook

The global image noise reduction software market size was valued at $1.6 billion in 2023 and is projected to reach $3.5 billion by 2032, growing at a CAGR of 9% during the forecast period. Factors contributing to this robust growth include advancements in imaging technologies, the rising demand for high-quality visual content, and the proliferation of digital platforms across various sectors.

One of the primary growth factors of the image noise reduction software market is the increasing adoption of digital imaging technologies. As the world becomes more digitalized, the need for high-quality images has become critical across industries such as photography, medical imaging, and automotive. The surge in the use of social media platforms and the rising trend of content creation have further accelerated the demand for noise reduction software, enabling users to produce visually appealing and professional-grade images.

Another significant growth driver is the advancement in artificial intelligence (AI) and machine learning (ML) technologies. These technologies have revolutionized the capabilities of image noise reduction software, enabling more precise and efficient noise reduction processes. AI-powered software can now analyze and process images to remove noise while preserving essential details and textures, making them indispensable tools for professional photographers, medical practitioners, and surveillance operators. The continuous improvements in AI algorithms are expected to further enhance the performance and adoption of noise reduction software in the coming years.

The increasing application of noise reduction software in the medical imaging sector is also a crucial market growth factor. With the growing prevalence of chronic diseases and the rising need for accurate diagnosis, high-quality medical imaging has become paramount. Noise reduction software helps in enhancing the clarity and detail of medical images, which is essential for precise diagnosis and treatment planning. The integration of such software into medical imaging systems is anticipated to drive significant market growth over the forecast period.

The integration of Noise Reduction and Echo Cancellation Software in various sectors is becoming increasingly important as the demand for clear and high-quality audio and visual content rises. This software is particularly beneficial in environments where background noise and echoes can significantly impact the quality of audio recordings or live communications. By effectively minimizing unwanted sounds and echoes, this technology enhances the clarity and intelligibility of audio, making it a valuable tool for industries such as telecommunications, broadcasting, and conferencing. As digital communication continues to expand globally, the adoption of noise reduction and echo cancellation solutions is expected to grow, providing users with superior audio experiences.

Regionally, North America is expected to dominate the image noise reduction software market due to the high adoption rate of advanced imaging technologies and the presence of key market players. The Asia Pacific region is projected to witness the highest growth rate, driven by the increasing use of digital imaging in various sectors and the rising investment in AI and ML technologies. Europe is also a significant market owing to the demand for high-quality imaging solutions in healthcare and automotive industries. The Latin America and Middle East & Africa regions are anticipated to show steady growth due to the gradual adoption of digital technologies.

Component Analysis

The image noise reduction software market is segmented by components into software and services. The software segment holds a significant share of the market, driven by the continuous advancements in AI and ML technologies that enhance the capabilities of noise reduction solutions. These software solutions are designed to minimize noise while retaining critical details in images, thus providing users with high-quality visual content. The increasing demand for sophisticated imaging solutions in sectors such as photography and medical imaging is propelling the growth of the software segment.

Within the software segment, standalone software solutions and integrated software packages are the two primary categories. Standalone software solutions, which are specifically designed for noise

As per Cognitive Market Research's latest published report, the Global Military Aircraft Communication Avionics market size will be $35.27 Billion by 2030. Military Aircraft Communication Avionics Industry's Compound Annual Growth Rate will be 4.38% from 2023 to 2030.

Market Dynamics:

• Increasing adaption of technological advancement in defense sector:

The defense industry relies on commercial technology innovation to adopt new advancements. Many developed and developing countries are ready to adapt the technology innovations for military purposes. In the defense industry, big data and Internet of Things (IoT) are playing vital role for technology innovations. Further, many countries are investing huge amount in smart systems and artificial intelligence (AI). In 2018, the U.S. Defense Advanced Research Projects Agency (DARPA) announced a $2 billion campaign to develop the AI technologies and create more trusting, collaborative partnerships between human and machines.

Moreover, increasing geopolitical conflicts, threats emanating from domestic and international terrorists continue to represent a significant challenge which drives the necessity of advancing military aviation sector. Thus, increasing adaption of technological advancement in defense sector is driving the military aircraft communication avionics market.

Restraining Factor:

• Supply chain disruption for electronics chips hampers the growth of market:

The shortage of electronics chips amid COVID-19 pandemic has surged. complexities in the semiconductor production process which have led to major shortage of chip supply against its demand from various sectors. Thus, its impact has also been observed on aviation industry.

Current Trends on Military Aircraft Communication Avionics:

• Rapid-pace in the advancement of military aerospace technology

Aircraft transportation is projected to be doubled by 2050. Thus, advancement in military aviation is also necessarily required to make powerful defense mechanism. Hence,the USAF have already entered the age of sixth-generation combat aircraft with the B-21 Raider. It has been built by Northrop Grumman which will surely replace the B-1 and B-2. The company has also claimed that it is the most advanced military aircraft ever built. This aircraft is been designed in such a way that it will perform long-range conventional and nuclear missions. It has breakthrough stealth technology, advanced networking capabilities and an open systems architecture.

Impact of COVID-19 pandemic on Military Aircraft Communication Avionics Market:

The out-break of COVID-19 pandemic has adversely affected military aircraft communication avionics market owing to the strong disruption in supply chain. This has further hampered availability of chips used in avionics. Owing to the rise in the cases of the COVID-19, the defense industry, witnessed a significant decline in the supply of the military aircrafts and other military gadgets and weapons used in military.

Additionally, several deliveries of combat vehicles were delayed, which hampered the market. For instance, BAE Systems signed a contract worth USD 15 billion with the US Army to deliver 2,936 combat vehicles. Out of these, an initial set of three was expected to be delivered in March 2020, however, due to COVID-19, the delivery was delayed by five months. Military aircraft communication avionics is a combination of electronic systems and other major equipment used in military aircrafts. Such aircrafts use electro-optic and infrared threat sensors, weapons trackers, countermeasures dispensers, integrated electronic support, activity monitors, secure tactical communications, protection, and attack capabilities in association with basic parameters, such as navigation, flight control, etc. The need for military avionics has been surged owing to the focus on joint and combined military missions in a multinational environment. Moreover, mounting digital era stimulates the requirement of having information superiority in joint civil-military operations. Hence, mixture of aviation and electronics on the whole is playing crucial role in the advancement of the military aviation system.