Network Analytics Market Forecast to 2030: Key Insights
According to our latest study on "Network Analytics Market Global and Regional Share, Trend, and Growth Opportunity Analysis – by Component, Deployment Type, End User, and Geography," the network analytics market size is estimated to grow from US$ 3.10 billion in 2022 to US$ 12.89 billion by 2030; it is projected to register a CAGR of 19.5% from 2022 to 2030.
Various factors significantly contribute to the global network analytics market growth. Factors such as technological advancements and complexity, increases in data volume, and changes in traffic patterns are fueling the market growth. Additionally, the increasing awareness of data protection is expected to bring new network analytics market trends in the coming years.
Network Analytics Market Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Solutions, Services); Deployment Type (On-premise, Cloud); End User (Telecom Provider, Cloud Providers, Managed Service Providers, Others), and Geography (North America, Europe, Asia Pacific, and South & Central America)
Network Analytics Market Size, Share, and Report by 2030
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The Asia Pacific network analytics market analysis includes countries such as Japan, China, South Korea, India, Australia, and the Rest of Asia Pacific. Rapid technological advancements, government initiatives, economic digitization, and the rise in middle-class discretionary income in countries such as India, China, Japan, Australia, and South Korea are significant contributors to the ongoing technological innovations in Asia Pacific. This economic growth is gradually driving the region from a developing to a developed stage, fueling the demand for advanced network analytics solutions. Furthermore, the increase in cyberattacks and the rise in demand among firms to secure their business data from being compromised are likely to positively impact the network analytics market forecast in the coming years.
The China network analytics market is experiencing substantial growth, fueled by various factors shaping the country's urban development landscape. The market in China has witnessed substantial growth in recent years, driven by increasing consumer demand and technological advancements. This growth trend has been accompanied by a surge in product offerings, catering to diverse demands and interests as various sectors embrace innovation. Furthermore, global expansion has been facilitated by favorable economic conditions and strategic alliances. With the projected integration of cutting-edge technologies and evolving market dynamics, the future outlook for the China network analytics market remains positive. With a focus on continual improvement and client-centricity, the market in China is well-positioned to continue growing and establish itself as a major force in the world economy.
The India network analytics market is poised for substantial growth due to several key factors. The rapid boom of India's IT sector has propelled the market in the region. The surge in demand for cloud-based and predictive analytics solutions in India is fundamentally transforming the way businesses across various industries operate and make strategic decisions. In the telecom sector, the demand for network analytics solutions is being driven by the need to improve network performance, enhance customer experience, and optimize resource allocation. With the proliferation of mobile devices and the growing adoption of high-speed internet services, telecom companies are leveraging predictive analytics to anticipate network congestion, identify potential service disruptions, and proactively address customer needs. This projection highlights the immense potential for India's network analytics market growth.
Growing Adoption of Machine Learning (ML) and Artificial Intelligence (AI) Worldwide to Drive Global Network Analytics Market
In the dynamic landscape of modern business, the increasing adoption of machine learning (ML) and artificial intelligence (AI) is reshaping the network analytics market, providing unprecedented advancements and opportunities. As organizations strive to harness the power of data for strategic decision-making and operational excellence, ML and AI have emerged as transformative technologies driving this evolution. The integration of ML and AI in network analytics enables businesses to glean actionable insights from vast volumes of network data, empowering them to optimize performance, enhance security, and deliver superior user experiences. By leveraging ML algorithms, businesses can predict network failures, proactively address potential issues, and optimize network capacity, leading to improved operational efficiency and minimized downtime. Additionally, AI-driven anomaly detection and threat analysis bolster cybersecurity measures, fortifying networks against evolving cyber threats and vulnerabilities.
The application of ML and AI in network analytics paves the way for predictive maintenance, enabling businesses to preemptively identify and address network infrastructure issues before they escalate, thereby reducing maintenance costs and enhancing overall network reliability. Moreover, AI-powered network automation streamlines routine network management tasks, freeing up resources for strategic initiatives and innovation. Such benefits drive the network analytics market.
Network Analytics Market: Segmental Overview
Based on component, the market is segmented into solutions and services. The solutions segment accounted for the largest network analytics market share in 2022. This dominance of the solutions segment the is expected to be driven by its associated benefits. The increased intricacy of networks resulting from the incorporation of cutting-edge technology devices, remote work configurations, and cloud services has generated a substantial need for network intelligence solutions. Moreover, the escalating requirement among businesses for instantaneous visibility into security, network performance, and user experience has significantly contributed to the sector's overall expansion. These solutions provide valuable insights that enable organizations to prevent downtime and facilitate uninterrupted operations. However, services segment is expected to hold a significant network analytics market share by 2030.
Network Analytics Market Analysis: Competitive Landscape and Key Developments
The network analytics market report emphasizes the key factors driving the market and prominent players' developments. IBM Corporation; Hewlett Packard Enterprise Development LP; Fortinet, Inc.; Huawei Technologies Co., Ltd.; Cisco Systems, Inc.; Broadcom, Inc.; Extreme Networks, Inc.; Juniper Networks, Inc.; Sandvine Corporation; Ciena Corporation; Allot Ltd.; and Nivid Technologies. are among the prominent players profiled in the network analytics market report. The market players focus on new product launches, expansion and diversification, and acquisition strategies, which allow them to access prevailing business opportunities.
- In May 2023, Juniper Networks, Inc. introduced the Mist Access Assurance service, marking a significant milestone as the first cloud-native service of its kind. This innovative offering leverages Mist AI and a contemporary microservices cloud to provide a comprehensive suite of network access control (NAC) and policy management capabilities. Notably, these capabilities encompass Juniper's wired access, wireless access, indoor location, SD-WAN, and secure client-to-cloud portfolio, delivering unparalleled automation, insight, and assurance for superior access control and policy enforcement. The result is a solution that not only ensures exceptional operational savings but also offers businesses the flexibility and simplicity needed to navigate the complexities of modern network management.
- In June 2022, at RSAC 2022, IBM Corporation acquired Randori, a prominent attack surface management (ASM) and offensive cybersecurity enterprise based in the Boston area. Randori specializes in assisting customers in identifying external assets visible to potential attackers, whether located on-premises or in the cloud, and prioritizing the most critical ones for protection.
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