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2024 年至 2031 年按应用程式、最终用户和地区划分的智慧网路市场

Intelligent Network Market By Application, End User, & Region for 2024-2031

出版日期: 2024年11月10日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年至 2031 年智慧网路市场评估

在技术发展、客户期望变化以及提高网路效率和安全性的迫切需求等因素的推动下，智慧网路产业正在经历快速成长。智慧网路结合人工智慧 (AI)、机器学习 (ML) 和进阶资料分析等新兴技术，正在改变跨产业资料传输、管理和保护的方式。这种颠覆性影响将波及通讯、IT 和服务、医疗保健、汽车等许多严重依赖弹性和适应性网路基础设施的产业。预计到 2024 年该市场的收入将超过 66.8 亿美元，到 2031 年估值将达到约 398.6 亿美元。

需求的成长主要是由于资料消耗的急剧增长和连网设备的激增。物联网 (IoT) 的引入导致连网设备数量大幅增加，从智慧家庭设备到工业感测器。这种成长需要先进的网路解决方案来管理和优化数据流量，以避免拥塞，确保顺畅的连接并保持高水准的效能。传统的网路基础设施往往不适合处理如此动态和大规模的资料流，因此智慧网路至关重要，预计2024年至2031年期间市场将以25%的复合年增长率成长。

智慧型网路市场定义/概述

智慧型网路 (IN) 是一种复杂的通讯架构，它透过提供超越基本呼叫路由和语音传输的高级服务和功能来改善标准电话网路。 IN 的理念最早在 20 世纪 80 年代提出，旨在透过将服务逻辑与底层交换架构分离，使通讯网路更加灵活、动态、更能回应消费者的需求。这种解耦使得无需改变底层网路硬体即可快速开发和部署新服务，在可扩展性、可维护性和创造力方面具有显着的优势。

智慧型网路的一个主要应用是呼叫管理服务。这些服务包括呼叫转移、呼叫筛选和呼叫等待，并且是集中管理的，而不是在单独的交换节点进行管理。营运商可以利用IN架构的业务控制点（SCP）更有效率、更灵活地提供这些功能。这种集中管理还可以实现更高级的服务，例如企业虚拟私人网路 (VPN)，它可以动态建立和维护以满足组织不断变化的需求。

未来智慧网路的使用预计将改变我们的数位和实体环境的许多元素。从通讯和医疗保健到智慧城市和工业自动化，人工智慧、机器学习和物联网与网路基础设施的整合有望提高效率、可靠性和用户体验。随着这些技术的进步，智慧网路将在推动创新、改善生活品质和促进永续发展方面发挥关键作用。充分发挥智慧网路潜力的旅程正在进行中，它将对整个社会产生影响，开启一个全新的互联互通和智慧自动化时代。

电信领域的智慧网路采用将如何推动智慧网路市场？

近年来，由于对先进通讯服务的需求不断增长以及对更高效的网路管理的需求，智慧网路在通讯中的应用显着增加。智慧网路可以自动执行许多网路任务，改变了电信公司营运网路的方式。智慧网路的主要优势之一是它能够自动执行呼叫路由和管理任务，从而使营运商能够快速轻鬆地向其客户推出新服务。这种自动化消除了人工干预，减少了错误和营运成本，同时加速了新服务的推出。

现代通讯网路日益复杂，再加上设备的激增和对高频宽应用的不断增长的需求，需要更复杂的网路管理方法。智慧型网路由于其不断增强的功能，非常适合解决此类问题。智慧网路使得营运商能够更好地管理其网络，以满足客户需求，同时保持较高的服务品质和效能。

随着通讯服务升级、网路管理效率提高、营运成本降低等需求，通讯领域正逐步采用智慧网路。将人工智慧、机器学习、虚拟化和 SDN 技术融入智慧网络，显着提高了其功能，包括自我优化、自我修復和提高灵活性。这些发展对于解决当今日益复杂且效能要求高的通讯网路问题至关重要。因此，智慧网路将在通讯环境中发挥越来越重要的作用，使营运商能够为其客户提供更好的服务，同时保持营运效率和成本效益。

高部署成本、资料技术限制阻碍智慧网路市场发展？

采用智慧网路解决方案对网路营运商来说是一个里程碑，带来了效能、安全性和管理效率的提升。然而，这种改变也存在问题，其中最大的问题就是成本高昂。这些解决方案需要在硬体、软体以及管理和维护这些复杂系统的人力上进行大量投资。这种巨大的初始成本可能是采用的一大障碍，特别是对于资本有限的小型企业。对于此类营运商来说，投资尖端技术的财务负担可能过高，迫使他们选择不太先进但更经济的网路方案。

这种整合的复杂性和所需的资源可能令人望而生畏，尤其是对于没有大型技术团队或财务灵活性来聘请外部专家的小型企业而言。迁移期间遇到的任何停机或效能问题都可能对营运商的服务品质和客户满意度产生严重影响。

智慧网路解决方案预计在网路管理和效能方面取得进步，但其采用受到巨大的财务、技术和营运障碍的阻碍。硬体、软体和劳动力成本高、即时数据处理的限制以及将新系统整合到现有基础设施的复杂性是采用的主要障碍。这些限制对中小企业的影响尤其严重，它们必须仔细权衡潜在的回报与所需的大量支出和资源。因此，受营运商对这些复杂问题的谨慎态度的影响，智慧网路市场的发展轨迹受到限制。

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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How will Adoption of Intelligent Network in Telecommunication Drive the Intelligent Network Market?

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.

How High Deployment Costs and Data Technical Limitations Hamper the Intelligent Network Market?

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.

Category-Wise Acumens

Will Increasing Need for Networking Operations Drive the Application Segment?

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.

Will the Increasing Demand for Massive Integrated Network Infrastructure Drive the End-User Segment?

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.

Country/Region-wise Acumens

Will the Adoption of Innovative Technologies Such as Deep Learning and Virtualization of Network Drive the Market in North America?

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.

Will the Increasing Government Activities Boost the Asia Pacific Region?

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.

Competitive Landscape

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.

Latest Developments

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.

1 INTRODUCTION OF GLOBAL INTELLIGENT NETWORK MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL INTELLIGENT NETWORK MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL INTELLIGENT NETWORK MARKET, BY APPLICATION

5.1 Overview
5.2 Information Cognition
5.3 Traffic Prediction and Classification
5.4 Resource Management and Network Adoption
5.5 Performance prediction and Configuration Extrapolation

6 GLOBAL INTELLIGENT NETWORK MARKET, BY END USER

6.1 Overview
6.2 Telecom Service Providers
6.3 Cloud Service Providers
6.4 Managed Network Service Providers
6.5 Other Enterprises

7 GLOBAL INTELLIGENT NETWORK MARKET, BY GEOGRAPHY

7.1 Overview
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
- 7.2.3 Mexico
7.3 Europe
- 7.3.1 Germany
- 7.3.2 U.K.
- 7.3.3 France
- 7.3.4 Rest of Europe
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Rest of Asia Pacific
7.5 Rest of the World
- 7.5.1 Latin America
- 7.5.2 Middle East & Africa

8 GLOBAL INTELLIGENT NETWORK MARKET COMPETITIVE LANDSCAPE

8.1 Overview
8.2 Company Market Ranking
8.3 Key Development Strategies

9 COMPANY PROFILES

9.1 Cisco Systems
- 9.1.1 Overview
- 9.1.2 Financial Performance
- 9.1.3 Product Outlook
- 9.1.4 Key Developments
9.2 Huawei Technologies
- 9.2.1 Overview
- 9.2.2 Financial Performance
- 9.2.3 Product Outlook
- 9.2.4 Key Developments
9.3 Ericsson
- 9.3.1 Overview
- 9.3.2 Financial Performance
- 9.3.3 Product Outlook
- 9.3.4 Key Developments
9.4 Tech Mahindra Limited
- 9.4.1 Overview
- 9.4.2 Financial Performance
- 9.4.3 Product Outlook
- 9.4.4 Key Developments
9.5 Aruba Networks
- 9.5.1 Overview
- 9.5.2 Financial Performance
- 9.5.3 Product Outlook
- 9.5.4 Key Developments
9.6 Nokia Corporation
- 9.6.1 Overview
- 9.6.2 Financial Performance
- 9.6.3 Product Outlook
- 9.6.4 Key Developments
9.7 Juniper Networks
- 9.7.1 Overview
- 9.7.2 Financial Performance
- 9.7.3 Product Outlook
- 9.7.4 Key Developments
9.8 Colt Technology Services
- 9.8.1 Overview
- 9.8.2 Financial Performance
- 9.8.3 Product Outlook
- 9.8.4 Key Developments
9.9 Netcracker Inc.
- 9.9.1 Overview
- 9.9.2 Financial Performance
- 9.9.3 Product Outlook
- 9.9.4 Key Developments
9.10 Sandvine
- 9.10.1 Overview
- 9.10.2 Financial Performance
- 9.10.3 Product Outlook
- 9.10.4 Key Developments

10 Appendix

10.1 Related Research

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License/价格

2024 年至 2031 年按应用程式、最终用户和地区划分的智慧网路市场