The Big Data And Analytics Market In Telecom Industry is being driven by Surge in data volumes
The Big Data And Analytics Market In Telecom Industry is expected to grow at a CAGR of 14.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 9034.7 million. In the telecom industry, the global big data and analytics market is witnessing a surge due to the introduction of innovative solutions addressing operational efficiency and evolving challenges. At MWC Barcelona 2024 on February 20, 2024, SQream showcased advanced GPU-accelerated big data analytics solutions. These solutions cater to the specific needs of telecom operators in North America, Europe, and Asia, enabling them to tackle critical industry challenges. SQream's SQL engine features a geolocation analytics capability, enhancing data processing efficiency for network planning, customer experience optimization, and personalized advertising in mobile-first enterprises.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
224 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 14.7% |
Market growth 2025-2029 |
USD 9034.7 million |
Market structure |
market_structure.ucfirst |
YoY growth 2024-2025(%) |
13.1 |
Key countries |
US, China, UK, India, Canada, France, Germany, Japan, South Korea, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the telecom industry, Big Data Analytics plays a crucial role in managing traffic, call records, and network conditions during 5G rollouts. It enables immediate responses to unusual activities and security threats, utilizing big data technologies like machine learning and artificial intelligence. By analyzing complex data volumes from mobile data traffic and unstructured data, telecom companies can gain actionable insights into customer behavior, fraud detection, and predictive maintenance. Addressing issues proactively provides a competitive advantage, with real-time alerts for network manufacturing, customer interactions, and IoT devices. Big Data Analytics also supports digital strategies in healthcare business intelligence, machine learning for electronic medical records, and AI-driven advanced reporting, ensuring data security and privacy. Emerging trends like edge computing and working from home further emphasize the importance of Big Data Analytics in the telecom sector.
In the telecom industry, Big Data and Analytics play a pivotal role in driving business growth and optimization. Telecom cloud solutions enable the processing and analysis of vast amounts of data, providing valuable insights into customer behavior, network performance, and market trends. Telecom industry trends, such as data privacy measures and 5G network deployment, necessitate robust data management systems. Telecom cost optimization and network infrastructure management are key areas of focus, with real-time network monitoring and automation essential for maintaining superior service quality. Companies source data from various internal and external sources, evaluating them based on cost, coverage, and quality, and establish long-term relationships with suppliers for efficient data processing and outsourced services. Telecom professionals, including management and marketing executives, are instrumental in leveraging data to make informed decisions and drive business success.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
Media & Marketing Executive
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UK: +44 203 893 3200
Email: media@technavio.com
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