지능형 네트워크 시장 평가, 2024-2031년
지능형 네트워크 업계는 기술 개발의 융합, 고객의 기대 변화, 네트워크 효율성 및 보안 개선 등의 임박한 요구에 따라 크게 성장하고 있습니다. 같은 최신 기술을 결합한 지능형 네트워크는 다양한 산업에서 데이터 전달, 관리, 보안의 방법을 변화시키고 있습니다. 이 파괴적인 영향은 통신, IT 서비스, 건강 관리, 자동차 및 기타 다양한 산업에서 느껴지고 탄력적이고 적응력있는 네트워크 인프라에 크게 의존합니다. 시장은 2024년에 66억 8,000만 달러의 수익을 넘어 2031년까지 약 398억 6,000만 달러의 평가액에 이를 것으로 예상되고 있습니다.
이 수요 증가의 주요 요인은 데이터 소비의 급격한 증가와 접속 기기의 급증입니다. 장치 수가 크게 증가하고 있습니다. 이러한 증가는 데이터 트래픽을 관리하고 최적화하여 혼잡을 피합니다. 부드러운 연결성을 보장하고 높은 수준의 성능을 유지할 수 있는 고급 네트워크 솔루션이 필요합니다. 종종 지능형 네트워크가 필수적이기 때문에 시장은 2024년부터 2031년까지 연평균 복합 성장률(CAGR) 25%로 성장합니다.
지능형 네트워크 시장 정의/개요
지능형 네트워크(IN)는 기본 통화 라우팅 및 음성 전송을 넘어서는 고급 서비스 및 기능을 가능하게 함으로써 표준 전화 네트워크를 개선하는 복잡한 통신 아키텍처입니다. IN의 개념은 서비스 로직을 기반으로하는 교환 아키텍처에서 분리함으로써 통신 네트워크를 보다 유연하고 역동적으로 만들고 소비자의 요구에 부응하는 것을 목표로 합니다. 확장성, 보수성, 창조성의 면에서 큰 이점을 가져옵니다.
지능형 네트워크의 주요 애플리케이션은 통화 관리 서비스입니다. 서비스 제어 포인트(SCP)를 활용하면 이러한 기능을 보다 효율적이고 유연하게 제공할 수 있습니다. 조직의 변화하는 요구 사항에 맞게 동적으로 작성 및 유지할 수 있습니다.
지능형 네트워크의 향후 활용은 디지털 및 물리적 환경의 많은 요소를 변화시킬 것으로 기대됩니다. 통신, 헬스케어부터 스마트 시티, 산업 자동화에 이르기까지 AI, ML, IoT를 네트워크 인프라에 통합함으로써 효율성, 신뢰성, 사용자 경험 향상을 약속합니다. 이러한 기술이 발전함에 따라 지능형 네트워크는 혁신 추진, 삶의 질 향상, 지속 가능한 개발 추진에 중요한 역할을 할 것으로 보입니다. 인텔리전트 네트워크의 잠재력을 완벽하게 실현하는 길은 현재 진행중이며, 그 영향은 사회 전체에 그리고 연결성과 지능형 오토메이션의 새로운 시대가 도래하게 됩니다.
통신에서 지능형 네트워크의 사용은 첨단 통신 서비스에 대한 수요가 증가하고 네트워크 관리 효율성 향상에 대한 요구로 인해 최근 크게 증가하고 있습니다. 수많은 네트워크 태스크를 자동화하는 지능형 네트워크는 통신사의 네트워크 운영 방식을 변경했습니다. 지능형 네트워크의 주요 이점 중 하나는 통화 라우팅 및 관리 업무를 자동화하여 운영자가 신속하고 쉽게 고객에게 새로운 서비스를 배포 할 수 있다는 것입니다. 이 자동화는 수동 개입이 필요 없으며 오류 및 운영 비용을 줄이고 새로운 서비스의 도입을 가속화합니다.
장치의 급증과 광대역 용도의 요구가 증가함에 따라 현대 통신 네트워크는 복잡성을 늘리고 있으며 네트워크 관리를 통해 고급 접근 방식이 필요합니다. 이러한 문제를 해결하는 데 이상적입니다. 지능형 네트워크를 통해 운영자는 네트워크 관리를 개선하고 높은 서비스 품질과 성능을 유지하면서 고객의 요구를 충족시킬 수 있습니다.
인텔리전트 네트워크는 통신 서비스 업그레이드, 네트워크 관리 효율성 향상, 운영 비용 절감에 대한 수요를 통해 통신에 채택되고 있습니다., 자기 회복, 민첩성 향상 등의 기능이 크게 향상되었습니다. 개발은 점점 복잡해지고 성능면에서의 요구가 엄격해지고 있는 현재의 통신 네트워크의 문제를 해결하는데 있어서 매우 중요합니다. 따라서 운영자는 운영 효율성과 비용 효율성을 유지하면서 고객에게 개선된 서비스를 제공할 수 있습니다.
지능형 네트워크 솔루션의 도입은 네트워크 운영자에게 성능, 보안 및 관리 효율성을 높이는 혁신적인 사건입니다. 이러한 솔루션은 하드웨어와 소프트웨어, 그리고 이러한 고급 시스템 관리 및 유지를 위한 맨파워에 상당한 투자를 필요로 합니다. 사업자에게 최첨단 기술에 투자하는 금전적 부담은 엄청나게 높고 선진적이지는 않지만 경제적인 네트워크 옵션을 선택하지 않을 수 있습니다.
특히 대규모 기술팀이 없거나 외부 전문가를 고용하는 경제적 유연성이 없는 소규모 사업자에게는 이 통합의 복잡성과 필요한 자원이 어려울 수 있습니다. 이는 마이그레이션 중에 다운타임이나 성능 문제가 발생하면 운영자의 서비스 품질과 고객 만족도에 심각한 영향을 미칠 수 있기 때문입니다.
지능형 네트워크 솔루션은 네트워크 관리와 성능의 진보를 약속하지만, 그 도입은 재정적, 기술적, 운영상의 어려운 장애물에 의해 방해되고 있습니다. 실시간 데이터 처리의 한계, 새로운 시스템을 기존 인프라에 통합하는 복잡성, 도입의 큰 장벽이 되고 있습니다. 이러한 제한은 잠재적인 보상과 필요한 다액의 지출이나 자원을 신중하게 비교 검토해야 하는 중소기업에 불균형한 영향을 줍니다. 지능형 네트워크 시장은 이러한 복잡한 문제를 다루는 사업자의 신중한 접근에 영향을 받고 제약 개발 궤도를 추적하고 있습니다.
Intelligent Network Market Valuation - 2024-2031
The intelligent network industry is seeing significant growth driven by a convergence of technology developments, changing customer expectations, and the pressing need for improved network efficiency and security. Intelligent networks which combine modern technologies such as artificial intelligence (AI), machine learning (ML), and sophisticated data analytics are transforming the way data is delivered, managed, and secured across several industries. This disruptive impact is being felt in telecommunications, IT services, healthcare, automotive, and a variety of other industries that rely significantly on resilient and adaptable network infrastructure by enabling the market to surpass a revenue of USD 6.68 Billion valued in 2024 and reach a valuation of around USD 39.86 Billion by 2031.
The key drivers of this rising demand are the exponential rise of data consumption and the proliferation of connected devices. The introduction of the Internet of Things (IoT) has resulted in a remarkable increase in the number of devices connected to networks ranging from smart household gadgets to industrial sensors. This rise needs sophisticated network solutions that can manage and optimize data traffic to avoid congestion, assure smooth connectivity, and maintain high levels of performance. Traditional network infrastructures are frequently ill-equipped to handle such dynamic and large data flows rendering intelligent networks vital by enabling the market to grow at a CAGR of 25% from 2024 to 2031.
Intelligent Network Market: Definition/ Overview
The Intelligent Network (IN) is a complex telecommunications architecture that improves standard telephone networks by allowing advanced services and capabilities that go beyond basic call routing and voice transmission. The IN idea which was first introduced in the 1980s aimed to make telecommunications networks more flexible, dynamic, and responsive to consumer needs by separating service logic from the underlying switching architecture. This decoupling enables the rapid development and deployment of new services without modifying the underlying network hardware providing considerable benefits in terms of scalability, maintainability, and creativity.
Intelligent Networks principal applications are in call management services. These services include call forwarding, call screening, and call waiting, which are administered centrally rather than by individual switching nodes. Operators can provide these capabilities more efficiently and flexibly by exploiting the IN architecture's service control points (SCPs). This central management also enables more advanced services such as virtual private networks (VPNs) for enterprises which can be dynamically created and maintained to meet the organization's changing requirements.
The future use of Intelligent Networks is expected to transform many elements of our digital and physical environments. From telecoms and healthcare to smart cities and industrial automation, integrating AI, ML, and IoT into network infrastructures promises to improve efficiency, reliability, and user experience. As these technologies advance, Intelligent Networks will play a critical role in driving innovation, increasing quality of life, and promoting sustainable development. The road to fully realize the potential of Intelligent Networks is ongoing and its impact will be felt throughout society ushering in a new era of connectedness and intelligent automation.
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The use of intelligent networks in telecommunications has increased significantly in recent years owing mostly to the growing demand for advanced communication services and the need for improved network management efficiency. Intelligent networks which are meant to automate numerous network tasks have transformed how telecommunications companies operate their networks. One of the primary benefits of intelligent networks is their capacity to automate call routing and administration operations allowing operators to roll out new services to customers fast and easily. This automation eliminates the need for manual intervention lowering errors and operational expenses while accelerating the introduction of new services.
The rising complexity of modern telecommunication networks combined with the proliferation of devices and the growing need for high-bandwidth applications necessitates a more sophisticated approach to networking administration. Intelligent networks with their increased capabilities are ideal for addressing these difficulties. They let operators to better manage their networks ensuring that they can satisfy their customers' needs while maintaining high levels of service quality and performance.
Intelligent networks are being adopted in telecommunications due to the demand for upgraded communication services, increased network management efficiency, and lower operational costs. The incorporation of AI, ML, virtualization, and SDN technologies into intelligent networks has considerably improved their capabilities resulting in self-optimization, self-healing, and increased agility. These developments are critical in solving the issues of current telecommunication networks which are becoming increasingly complicated and demanding in terms of performance. As a result, intelligent networks are becoming an increasingly important part of the telecommunications environment allowing operators to provide improved services to their customers while preserving operational efficiency and cost-effectiveness.
The implementation of intelligent network solutions represents a watershed moment for network operators offering increased performance, security, and administrative efficiency. However, this change is not without its problems, the most prominent of which being the high expenses involved. These solutions demand significant investment in hardware and software as well as manpower to administer and maintain these advanced systems. This large upfront cost might be a significant obstacle to adoption especially for smaller operators with limited funds. For these operators, the financial burden of investing in cutting-edge technology may be prohibitively expensive forcing them to go with less advanced but more economical network options.
The complexity and resource requirements of this integration can be daunting especially for smaller operators that may lack significant technical teams or the financial flexibility to employ outside expertise. The possibility of integration-related disruptions can also be a major deterrent as any downtime or performance issues during the transition might have serious consequences for the operator's service quality and customer satisfaction.
Intelligent network solutions provide promise advances in network management and performance but their implementation is hampered by severe financial, technical, and operational hurdles. The high costs of hardware, software, and personnel combined with limits in real-time data processing and the complexities of integrating new systems into existing infrastructure provide significant barriers to adoption. These limits disproportionately affect smaller firms who must carefully weigh the potential rewards against the significant expenditure and resources necessary. As a result, the intelligent network market is on a constrained development trajectory affected by operators' cautious approach to handling these complex problems.
The information cognition market is expected to increase significantly during the projected period driven by an increasing demand for improved data collection and analysis capabilities in networking operations. Information cognition refers to the sophisticated procedures and technology used to acquire, store, analyze, and interpret data in order to comprehend and manage complex networking settings. This market expansion is being driven by a number of factors including the increasing volume of data generated by networking activities, the increasing complexity of network infrastructures, and the growing demand for real-time data processing and analysis.
The increasing adoption of advanced networking technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and the Internet of Things (IoT) contributes to the growing demand for information cognition in networking operations. These technologies add levels of complexity to network administration needing more advanced data collection and analysis tools. Information cognition solutions allow network administrators to collect and interpret enormous amounts of data in real time resulting in actionable insights that improve decision-making processes.
The information cognition market is expected to increase significantly during the projected period driven by an increasing demand for sophisticated data collection and analysis capabilities in networking operations. The growth of complicated networking technologies, the growing threat of cyber-attacks, the push for network automation, and the overall trend of digital transformation are all driving this demand. As enterprises traverse the intricacies of today's network settings, information cognition will play an increasingly important role in maintaining efficient, secure, and dependable network operations.
The cloud service providers market is expected to develop at an unparalleled rate during the projected period owing to a number of strategic efforts and technology advancements aimed at improving worldwide connection and service delivery. The growing demand for digital transformation across businesses has prompted cloud service providers to aggressively expand their infrastructure. This growth is primarily driven by the creation of new data centers throughout the world which serve as the foundation for offering cloud-based services with low latency. The spread of these data centers is about more than simply improving service quality, it is also about meeting end users growing expectations for seamless and speedy access to apps and content.
The increasing deployment of 5G technology is expected to boost demand for cloud services. 5G provides much higher data transfer rates and lower latency than previous generations of mobile networks. This innovation expands the potential for cloud-based applications particularly those demanding real-time data processing and high bandwidth such as augmented reality (AR), virtual reality (VR), and self-driving cars. Cloud service providers are expected to play a critical role in the 5G ecosystem by providing the infrastructure and services required to support these sophisticated applications.
The cloud service provider's category is seeing tremendous growth driven by rising demand for digital transformation, the expansion of global data center networks, and the adoption of new technologies. Critical elements driving this growth include efforts to reduce latency through smart data center location, the deployment of vast integrated network infrastructures, and the implementation of advanced network management and security measures.
North America is expected to dominate the intelligent network market over the projected period owing to its strong technological infrastructure and rapid adoption of cutting-edge advancements. The region's significant investment in innovative technologies such as deep learning, analytics, and network virtualization reinforces its global market leadership. Several causes have contributed to the increase in intelligent network adoption in North America, the most notable of which is the rapid development and deployment of deep learning technology.
The proliferation of IoT applications across a variety of industries including healthcare, manufacturing, and transportation highlights the need for intelligent networks. IoT devices generate massive volumes of data that must be processed and analyzed in real-time necessitating extremely efficient and scalable network solutions. Intelligent networks provide the essential infrastructure to enable these applications allowing for real-time data processing and decision-making.
North America's dominant position in the intelligent network market is due to the increasing adoption of novel technologies such as deep learning, analytics, and network virtualization. These technologies lay the groundwork for innovative, efficient, and scalable network systems that can handle the increasing need for high-speed connectivity and real-time data processing. North America is well-positioned to maintain its dominance in the global intelligent network environment over the projection period, thanks to a strong technology ecosystem and proactive regulatory frameworks.
The Asia-Pacific region is expected to experience a considerable increase in revenue growth over the forecast period owing to a combination of factors creating unparalleled momentum in the area. Key among these causes is the growing involvement of governments from across Asia Pacific combined with strategic initiatives sponsored by key market players. This convergence of government drive and private sector dynamism is transforming Asia Pacific's economic environment, propelling it into an era of unprecedented growth and innovation.
The Asia Pacific region has emerged as a strategic hub for multinational firms and significant market players seeking to expand and invest. Recognizing the enormous growth potential of Asia Pacific's dynamic emerging markets, businesses are increasingly investing resources and capital to build a strong presence in the region. Market leaders in a variety of industries from technology and healthcare to consumer goods and automotive are actively expanding their operations releasing innovative products, and forming strategic alliances to capitalize on the enormous prospects offered by Asia Pacific markets.
The Asia Pacific market is expected to grow and expand at an unprecedented rate during the forecast period owing to a combination of factors such as proactive government initiatives, strategic investments by key market players, technological advancements, changing consumer dynamics, and favorable regulatory frameworks. As the region continues to rise as a global economic powerhouse, firms and investors alike are well-positioned to benefit on the numerous opportunities afforded by this dynamic and vibrant market environment.
The intelligent network market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions and political support. The organizations focus on innovating their product line to serve the vast population in diverse regions.
Some of the prominent players operating in the intelligent network market include:
Cisco Systems
Ericsson
Juniper Networks
Huawei Technologies
Nokia Corporation
Hewlett-Packard Company
Orange S.A.
Tech Mahindra Limited
Colt Technology Services
Sandvine
Netcracker, Inc.
In September 2021, Mavenir, a network software supplier, has announced the next-generation Operations Support System (ngOSS), a new component of the MAVscale platform. This new solution enables Communication Service Providers (CSPs) to use ngOSS in their 4G networks while also preparing for the full potential of 5G capabilities through intelligent network operations. This is accomplished by using a potent combination of Artificial Intelligence (AI), Analytics, Automation, and Orchestration, backed up by Mavenir's experience delivering telecom network solutions.
In September 2022, Huawei announced increased capabilities for its Intelligent Cloud-Network Solution, which were created to meet the changing needs of clients and include three key scenarios: CloudFabric, CloudWAN, and CloudCampus. Huawei also released a white paper on wireless intelligent networks to assist enterprises with digital innovation.