![]() |
市场调查报告书
商品编码
1820268
2025 年至 2033 年电信分析市场规模、份额、趋势及预测(按组件、部署模式、组织规模、应用和地区)Telecom Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Application, and Region, 2025-2033 |
||||||
2024 年全球电信分析市场规模为 66.3 亿美元。展望未来, IMARC Group估计到 2033 年市场规模将达到 189.7 亿美元,2025 年至 2033 年的复合年增长率为 14.05%。北美目前占据市场主导地位,2024 年的市占率将超过 42.5%。电信资料数量的增加、减少客户流失的需求不断增长以及巨量资料、物联网 (IoT) 和资料科学等先进技术的广泛使用是推动市场发展的主要驱动力。
市场主要受对增强客户体验、即时洞察和优化网路效能日益增长的需求所驱动。 5G 网路的快速部署(根据 GSMA 预测,到 2025 年将达到 12 亿连接,覆盖全球三分之一的人口)对进阶分析技术至关重要。自动化、人工智慧 (AI) 和机器学习的进步实现了预测性维护和资源优化,从而提升了营运效率。例如,SK 电信向 Perplexity AI 投资 1,000 万美元,增强了其生成式人工智慧能力,提升了其人工智慧个人助理服务。此类合作凸显了人工智慧与电信分析的融合,旨在提供无缝连接、互动式查询和创新的数位转型解决方案。
美国是一个重要的区域市场,其主要驱动力在于对数据驱动决策、增强客户体验管理和优化网路效能日益增长的需求。 5G、物联网 (IoT) 整合和基于云端的电信基础设施的快速普及需要进阶分析来处理大量资料并确保无缝连接。 2024 年 2 月 21 日,戴尔科技集团推出了新的解决方案,包括用于自动化多供应商管理的电信基础设施自动化套件 (Telecom Infrastructure Automation Suite) 和适用于红帽的电信基础设施模组 (Telecom Infrastructure Blocks for Red Hat),以简化云端部署、提高效率并支援 5G 扩展效率。人们对网路安全和诈欺侦测日益增长的担忧进一步推动了即时异常检测分析技术的采用。人工智慧和机器学习领域不断增加的投资使预测性维护成为可能,而政府推动数位转型的措施则加强了美国市场对电信分析技术的采用。
数据货币化日益兴起
通讯服务提供者 (CSP) 认识到收集资料的重要性,这些资料在其传统服务之外具有巨大的价值。因此,CSP 正在广泛利用电信分析从其资料中获取可行的见解,这反过来又使他们能够为其他行业提供有价值的资讯驱动服务。例如,美国电信供应商 Verizon 在公司范围内采用了许多分析解决方案和 AI 团队。普华永道预测,全球电信网路的资料使用量将成长近两倍,从 2022 年的 340 万 PB 增加到 2027 年的 970 万 PB。此外,通讯服务提供者有机会透过策略合作和伙伴关係来释放更多收入。例如,Pod Solutions 与 Subex Limited 联手,透过先进的安全解决方案增强物联网计费和连接服务。与 Subex 的合作帮助 Pod Solutions 开发了新颖的安全服务,使客户能够以最高安全性部署、计费和创建物联网系统。
日益严格的监管政策和合规性
政府机构推出的利多政策,旨在促进电信分析的应用,是全球市场的主要动力。例如,2022年7月,美国农业部 (USDA) 宣布投资4.01亿美元,为11个州的3.1万名农村居民和企业提供高速网路存取。此外,对监管合规性的日益关注,也进一步推动了电信分析市场的成长。 《卡里法案》(Kari's Law) 和《雷·鲍姆法案》(Ray Baum's Act) 等一般监管更新的发布週期可能会更长。因此,企业正在广泛使用电信业解决方案联盟 (ATIS) 来及时获取有关电信监管要求的通知。
先进软体开发
主要参与者推出基于云端的电信分析解决方案,以消除在基础设施和硬体方面大量前期投资的需要,这是推动全球电信分析市场发展的主要因素之一。此外,该解决方案借助人工智慧和机器学习工具,支援基于 5G 网路资料生成的关联报告进行自动化和智慧化的解决方案决策。 2024 年全球机器学习市场规模达 310 亿美元。此外,甲骨文公司也推出了 Oracle Construction Intelligence Cloud Analytics。它解决了整合来自众多应用程式的资料以预测风险并指导建筑和工程公司未来活动的问题,从而帮助他们识别问题并专注于促进资产建设、专案规划、资产运营等各个环节持续改进的策略。
The global telecom analytics market size was valued at USD 6.63 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 18.97 Billion by 2033, exhibiting a CAGR of 14.05% from 2025-2033. North America currently dominates the market, holding a market share of over 42.5% in 2024. The rising number of telecom data, the inflating need for minimizing churn, and the widespread usage of advanced technologies, such as big data, the Internet of Things (IoT), and data science, represent some of the primary drivers fueling the market.
The market is primarily driven by rising demand for enhanced customer experiences, real-time insights, and optimized network performance. The rapid deployment of 5G networks, expected to reach 1.2 billion connections by 2025 and cover a third of the world's population, as per GSMA, necessitates advanced analytics. Automation, artificial intelligence (AI), and machine learning advancements enable predictive maintenance and resource optimization, stimulating operational efficiency. For example, SK Telecom's USD 10 Million investment in Perplexity AI strengthens its generative AI capabilities, enhancing its AI personal assistant services. Partnerships like these highlight the integration of AI and telecom analytics to deliver seamless connectivity, interactive queries, and innovative digital transformation solutions.
The United States is a key regional market and is majorly propelled by the increasing need for data-driven decision-making, enhanced customer experience management, and optimized network performance. The rapid adoption of 5G, Internet of Things (IoT) integration, and cloud-based telecom infrastructure requires advanced analytics to process large data volumes and ensure seamless connectivity. On February 21, 2024, Dell Technologies introduced new solutions, including the Telecom Infrastructure Automation Suite for automated multi-vendor management and Telecom Infrastructure Blocks for Red Hat to simplify cloud deployments, enhancing efficiency, and supporting 5G expansion. Rising concerns over cybersecurity and fraud detection further drive analytics adoption for real-time anomaly detection. Increasing investments in AI and machine learning enable predictive maintenance, while government initiatives promoting digital transformation strengthen telecom analytics adoption across the U.S. market.
Rising Monetization of Data
Communication service providers (CSPs) recognize the importance of collecting data that holds substantial value beyond their traditional services. Consequently, CSPs are extensively utilizing telecom analytics to gain actionable insights from their data, which, in turn, allows them to provide valuable information-driven services to other industries. For example, Verizon, a telecommunications provider across the United States, adopted numerous analytic solutions and AI groups around the company. PwC projects that worldwide data usage on telecom networks will nearly triple, rising from 3.4 million petabytes (PB) in 2022 to 9.7 million PB by 2027. Moreover, communication service providers have opportunities to unlock additional revenue through strategic collaborations and partnerships. For example, Pod Solutions joined forces with Subex Limited to enhance IoT billing and connectivity services with advanced security solutions. The collaboration with Subex aided Pod Solutions to develop novel security services, which allowed customers to deploy, bill, and create IoT systems with maximum security.
Growing Regulatory Policies and Compliance
The launch of favorable policies by government bodies to promote the usage of telecom analytics is primarily driving the global market. For instance, in July 2022, the United States Department of Agriculture (USDA) announced an investment of USD 401 Million to enable access to high-speed internet to 31,000 rural residents and businesses in 11 states. Apart from this, the growing focus on regulatory compliance is further positively propelling the telecom analytics market growth. General regulatory updates, like the Kari's Law and the RAY BAUM's Act, can have longer lead timelines. As a result, companies are extensively using the Alliance for Telecommunications Industry Solutions (ATIS) to get timely notifications on telecom regulatory requirements.
Development of Advanced Software
The introduction of cloud-based telecom analytics solutions by key players to remove the need for substantial upfront investments in infrastructures and hardware represents one of the primary factors fueling the global telecom analytics market. Moreover, the solution supports automated and intelligent solution decision-making based on correlated reports generated from data across 5G networks with the help of AI and machine learning tools. The global machine learning market size reached USD 31.0 Billion in 2024. In addition to this, Oracle introduced Oracle Construction Intelligence Cloud Analytics. It addressed the issue of integrating data from numerous applications to project dangers and guide future activities faced by construction and engineering companies, which, in turn, assists them in identifying problems and focusing on strategies to promote continuous improvement throughout asset building, project planning, asset operation, etc.
Solution stands as the largest component in 2024, holding around 69.0% of the market. Telecom analytics solutions comprise a wide array of software and tools designed to extract actionable insights from complex and vast data sets within the telecommunications ecosystem. For example, in March 2023, IBM Corporation revealed plans to supply Telecom Egypt (TE) with intelligent automation software, enabling a unified solution for managing operations support systems (OSS) across fixed, mobile, and core networks. Similarly, in February 2023, Bharti Airtel partnered with NVIDIA to create an AI-driven solution aimed at improving customer experiences for inbound calls at its contact centers.
Cloud-based mode leads the market with around 55.8% of market share in 2024. The inflating popularity of cloud-based telecom analytics solutions, as they offer scalability and flexibility, thereby allowing CSPs to adjust resources according to demand seamlessly. In February 2023, Nokia Corporation introduced AVA Customer and Mobile Network Insights, a cloud-native analytics software designed to streamline the collection and analysis of 5G network data. Moreover, Oracle introduced Oracle Construction Intelligence Cloud Analytics. These solutions provide cost-effectiveness, which is projected to augment the growth of the telecom analytics market in this segmentation over the forecasted period.
Large enterprises lead the market with around 77.6% of market share in 2024. Telecom analytics is gaining extensive traction among large enterprises, as it provides them with the necessary tools to manage, track, and optimize their network. Additionally, with analytical services and solutions, large enterprises have greater insight into customer preferences, which, in turn, helps them to build lasting relationships with individuals. Telecom analytics also enables large enterprises to identify emerging market trends, improve decision-making, and enhance service delivery. By leveraging predictive analytics, businesses can proactively address network issues, minimize downtime, and optimize resource utilization, ultimately driving customer satisfaction and enhancing operational efficiency in a competitive landscape.
Network management leads the market with around 29.8% of market share in 2024. Network management is an important aspect of the telecommunications industry. The rising need for network management is bolstering the adoption of telecom analytics solutions, as they enable communication service providers (CSPs) to predict potential outages and optimize resource allocation. This will continue to stimulate the segment's growth over the foreseeable future. Additionally, the increasing complexity of telecom networks, driven by the deployment of 5G, Internet of things (IoT), and cloud technologies, further highlights the need for advanced analytics solutions. These tools provide real-time insights into network performance, ensuring seamless connectivity and enhanced user experience. Furthermore, the growing demand for automation in network operations is encouraging CSPs to adopt artificial intelligence (AI) and machine learning-based analytics to improve efficiency and reduce operational costs.
In 2024, North America accounted for the largest market share of over 42.5%. The rising number of key players in North America, including IBM Corporation and Oracle Corporation, is primarily propelling the regional market. In line with this, telecom analytics industry players are also entering strategic partnerships and collaborations, which is acting as another significant growth-inducing factor. For example, IBM acquired Sanovi Technologies to elevate its cloud offerings. Furthermore, the widespread adoption of consumer electronics products, including smartphones and tablets, in the U.S. is positively influencing the market growth across the country. For example, the U.S. Census Bureau and Consumer Technology Association reported in January 2022 that sales of smartphones in the U.S. rose to 74.7 Billion in 2022 from USD 73 Billion in 2021. The rising number of smartphone users is elevating the incidences of fraud, which is augmenting the need for telecom analytics solutions across North America. Moreover, the region has some of the world's largest cellular service providers, who rely extensively on consumer feedback. Consequently, CSPs in North America are opting for telecom analytics to offer better quality service at high efficiency. For example, Verizon, a telecommunications provider in the United States, deployed several analytic solutions and AI groups around the company. Similarly, the Data Science and Cognitive Intelligence group focuses on implementing cognitive technology in Verizon's customer interactions.
United States Telecom Analytics Market Analysis
In 2024, the United States accounts for 73.70% of North America telecom analytics market. The United States has long been a hub for innovation, particularly in the field of artificial intelligence (AI), with AI startups playing a significant role in driving the country's technological advancement. Between 2013 and 2022, the U.S. saw the emergence of 4,633 AI startups, highlighting its position as a global leader in AI development. In 2022 alone, 524 new AI startups were founded, attracting a remarkable USD 47 Billion in non-governmental funding. This thriving AI ecosystem is fueling the growth of the telecom analytics market, as telecom operators in the U.S. increasingly leverage AI and machine learning to optimize network performance, enhance customer experience, and streamline operations. Additionally, the shift toward 5G technologies requires robust analytics solutions to manage large volumes of data generated by high-speed networks. As telecom companies invest in advanced data analytics tools for predictive maintenance, fraud detection, and churn prediction, the U.S. market for telecom analytics continues to expand. The presence of numerous technology providers, coupled with ongoing government support for digital infrastructure and innovation, positions the U.S. as a key player in the global telecom analytics market.
Europe Telecom Analytics Market Analysis
In Europe, the telecom analytics market is experiencing significant growth, driven by digital transformation, the rollout of 5G networks, and an increasing reliance on data-driven insights. Telecom operators are adopting advanced analytics solutions to optimize network performance, streamline operations, and enhance customer experiences. A notable trend is the growing integration of the Internet of Things (IoT) into various sectors. According to reports, 29% of EU enterprises used IoT devices in 2021, primarily for securing their premises, highlighting the growing importance of connected devices in the region. This rise in IoT adoption is fueling demand for telecom analytics, as operators need real-time data processing capabilities to manage the influx of connected devices. Additionally, Europe's strong regulatory environment, particularly around data privacy (GDPR), is driving telecom companies to invest in analytics platforms that ensure compliance while unlocking actionable insights. With the increasing focus on operational efficiency and personalized customer services, telecom analytics solutions are vital for businesses to remain competitive in the region. The continued growth of IoT, along with the ongoing 5G expansion, further positions Europe as a key market for telecom analytics, with sustained growth expected in the coming years.
Asia Pacific Telecom Analytics Market Analysis
In the Asia-Pacific (APAC) region, the telecom analytics market is experiencing strong growth, driven by the rapid adoption of 5G networks and increasing mobile data consumption. South Korea leads the way, with 31.3 Million 5G connections, accounting for more than 48% of the country's total mobile connections, while China boasts over 700 million 5G connections, representing 41% of all mobile connections, according to GSMA. These impressive figures highlight the region's commitment to advancing telecom infrastructure, creating a strong demand for advanced analytics tools to manage and optimize the large volumes of data generated by 5G networks. The region's growing reliance on mobile broadband services and connected devices further accelerates the adoption of telecom analytics, enabling operators to enhance network performance, improve customer experience, and streamline operations. As emerging economies in Southeast Asia also expand their telecom networks, the demand for data-driven insights and predictive analytics continues to rise, further fueling market growth in APAC.
Latin America Telecom Analytics Market Analysis
Latin America is emerging as one of the fastest-growing mobile markets in the world, creating substantial opportunities for the telecom analytics sector. According to the Mobile Growth Association (MGA), the region had 326 Million mobile internet users in 2018, a number projected to grow to 422 Million by 2025. This rapid expansion in mobile connectivity is driving telecom operators to adopt advanced analytics solutions to manage rising data traffic, optimize network performance, and improve customer experience. Additionally, the rollout of 5G networks and the increasing adoption of IoT devices are further strengthening the demand for real-time analytics tools. As operators focus on enhancing operational efficiency and delivering personalized services, telecom analytics is becoming essential for sustaining growth and innovation in Latin America.
Middle East and Africa Telecom Analytics Market Analysis
The Middle East and Africa (MEA) telecom analytics market is expanding rapidly, driven by the growing adoption of 5G networks and increasing mobile penetration. According to TeleGeography, Saudi Arabia leads the MEA region in 5G adoption, with over 11.2 Million subscriptions by the end of 2022, accounting for more than a quarter of the country's total mobile sector. This rise in 5G users highlights the need for advanced analytics solutions to manage rising data traffic and optimize network performance. As telecom operators focus on enhancing customer experiences and supporting smart city initiatives, analytics tools are becoming indispensable in the MEA region.
Top telecom analytics companies are strengthening the market through strategic initiatives. These companies invest in advanced research and development (R&D) activities to continuously enhance the capabilities of telecom analytics solutions. They collaborate with technology partners to integrate cutting-edge technologies like AI and machine learning, enabling more accurate insights and predictive capabilities. Moreover, top firms prioritize customization, tailoring telecom analytics solutions to meet different communication service providers' unique needs. They offer comprehensive training and support to ensure seamless adoption and effective utilization of these solutions. Furthermore, these companies engage in industry partnerships, sharing best practices and case studies demonstrating the tangible benefits of telecom analytics in enhancing operational efficiency, customer experiences, and security. By leading the way in innovation, customization, and collaboration, top companies are driving wider adoption of telecom analytics across the industry, fortifying their position as a crucial tool for shaping the future of telecommunications.