市場調査レポート
商品コード
1390508
通信アナリティクス市場レポート:コンポーネント、展開モード、組織規模、用途、地域別、2023-2028年Telecom Analytics Market Report by Component, Deployment Mode, Organization Size, Application, and Region 2023-2028 |
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通信アナリティクス市場レポート:コンポーネント、展開モード、組織規模、用途、地域別、2023-2028年 |
出版日: 2023年11月24日
発行: IMARC
ページ情報: 英文 146 Pages
納期: 2~3営業日
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世界の通信アナリティクス市場規模は2022年に51億米ドルに達しました。今後、IMARC Groupは、2028年までに同市場が117億米ドルに達し、2022年から2028年にかけて14.84%の成長率(CAGR)を示すと予測しています。世界の通信データ量の増加、解約率の低減ニーズの高まり、収益に影響を与える事業運営の合理化ニーズの高まり、モノのインターネット(IoT)、ビッグデータ、データサイエンスなどの先進技術の急速な活用などが、同市場を後押しする要因となっています。
通信アナリティクスは、通信サービス・プロバイダー(CSP)がデータを分析し、綿密な洞察を得るための戦略的プロセスです。この調査手法は、競争力のあるサービス提供の考案、より効果的な顧客の取り込み、安定したサービス提供を保証するためのネットワーク構成の微調整、体験品質の注意深いモニタリングにおいて極めて重要な役割を果たしています。運用面だけでなく、収益性の改善、顧客満足度の向上、運用効率の最適化も実現します。その基盤は、予測、最適化、多角的な分析など、洗練されたテクニックを組み合わせたものです。記述的モデリングと予測的モデリングを活用することで、このアプローチはインテリジェント・ネットワークの進化を促進し、既存のインフラの機能を拡張します。その結果、通信アナリティクスは業界情勢を再構築し、意思決定能力を強化し、イノベーションを促進する可能性があるとして、急速に世界の注目を集めています。
世界市場は、モバイル機器、IoT機器、デジタルサービスによって生成されるデータの増加が主な要因となっています。さらに、顧客満足度の向上と顧客維持の追求が市場に大きく貢献しています。通信サービスプロバイダーは、アナリティクスを活用して顧客の嗜好、行動、パターンを把握し、サービスの調整、問題のプロアクティブなトラブルシューティング、提供サービスのパーソナライズを可能にしています。このようなパーソナライズされたアプローチは、顧客ロイヤリティを高め、解約を減らします。さらに、5G技術とエッジコンピューティングの拡大により、リアルタイムの洞察の必要性が加速しています。通信アナリティクスは、CSPが5Gネットワークの複雑性を管理し、リソース割り当てを最適化し、低遅延を確保し、ネットワークのパフォーマンスと品質を向上させるのに役立ちます。さらに、通信アナリティクスは不正行為やセキュリティの脅威に対抗する上で極めて重要な役割を果たしています。ネットワーク・データを精査することで、CSPは異常、不正アクセス、異常な行動を迅速に検出し、セキュリティ環境を強化することができます。電気通信分析におけるAIと機械学習の統合は、予知保全の道を開いた。CSPはネットワークの停止、デバイスの故障、サービスの中断を事前に察知し、ダウンタイムを最小限に抑え、運用効率を高めることができます。
データの収益化の増加
データ収益化のトレンドの高まりが市場を刺激しています。通信サービスプロバイダー(CSP)は、収集した膨大なデータが従来のサービス以外にも大きな価値を持つことを認識しています。通信アナリティクスは、CSPがデータから実用的な洞察を引き出し、他の業界に価値ある情報主導型サービスを提供できるようにします。通信アナリティクスを活用することで、CSPはパートナーシップやコラボレーションを通じて新たな収益源を生み出すことができます。顧客行動、ネットワーク・パフォーマンス、市場動向から得た洞察をパッケージ化し、データ主導型のソリューションを求める企業に販売することができます。単なるサービス・プロバイダーからデータ・プロバイダーへのシフトは、提供するサービスの幅を広げ、市場へのリーチを拡大します。データの収益化が進むことは、CSPにとって有利な機会であるだけでなく、高度な通信分析ソリューションの採用を促進する要因でもあります。企業がデータ資産を活用する方法を模索する中、電気通信アナリティクスは戦略的な実現手段となり、電気通信業界におけるイノベーションと成長を促進します。
規制コンプライアンスとガバナンスの高まり
規制コンプライアンスとガバナンスの重視の高まりは、市場に明るい見通しをもたらしています。通信サービス・プロバイダー(CSP)は、データ保護、プライバシー、透明性を確保するため、複雑な規制の網の目の中で業務を行っています。データ漏洩やプライバシーに関する懸念が顕著になるにつれ、CSPはこれらの規制を遵守するための強固な対策を実施する必要があります。通信アナリティクスは、CSPがこの複雑な規制状況を乗り切る上で極めて重要です。データ保護法や業界標準を監視、管理し、確実に遵守するためのツールと機能を提供します。通信アナリティクスを採用することで、CSPはデータ利用を追跡し、異常を検出し、潜在的な違反に迅速に対応することができ、リスクを軽減して多額の罰則を回避することができます。さらに、規制が進化し続ける中、電気通信アナリティクスの柔軟性により、CSPはそれに応じて戦略を適応させることができます。リアルタイムのデータを分析することで、先を見越したコンプライアンス管理が可能になり、顧客の信頼とロイヤルティが高まります。このような背景から、厳しさを増す規制環境の中でCSPが事業や評判、顧客との関係を守ろうとする中、電気通信アナリティクス・ソリューションへの需要が高まっています。
深刻化するネットワーク攻撃とオンライン・データ・セキュリティの脅威
ネットワーク攻撃やオンライン・データ・セキュリティの脅威の拡大が市場を強化しています。通信サービスプロバイダー(CSP)は、機密性の高い顧客データ、ネットワークインフラ、事業継続性を狙うサイバー脅威の拡大に直面しています。通信アナリティクスは、こうした脅威を効果的に検出、分析、阻止する高度なツールをCSPに提供します。通信アナリティクスは、ネットワーク・トラフィックを継続的に監視し、パターン、異常、逸脱を分析することで、潜在的なセキュリティ侵害を迅速に特定できます。このプロアクティブなアプローチにより、CSPは迅速に対応し、攻撃の影響を緩和し、ダウンタイムを最小限に抑えることができます。さらに、通信アナリティクスに人工知能と機械学習を統合することで、脅威検出能力が強化されます。これらの技術により、従来のセキュリティ対策では見逃してしまうような新たな攻撃パターンやゼロデイ脆弱性を認識することが可能になります。脅威の状況が進化するにつれ、強固なセキュリティ対策への需要は高まっています。通信アナリティクスはCSPのインフラを保護し、顧客の個人情報や財務情報を保護することで顧客の信頼を強化します。サイバーセキュリティの課題が山積する中、通信アナリティクスはオンライン・データ・セキュリティの脅威に対する重要な手段として台頭し、その採用と市場成長を促進しています。
図表一覧
The global telecom analytics market size reached US$ 5.1 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 11.7 Billion by 2028, exhibiting a growth rate (CAGR) of 14.84% during 2022-2028.The increasing amount of telecom data worldwide, the rising need for reducing churn, the growing need for streamlining business operations that impact the revenue, and the rapid utilization of advanced technologies, including the Internet of Things (IoT), big data, and data science are some of the factors propelling the market
Telecom analytics is a strategic process empowering communication service providers (CSPs) to dissect data, yielding meticulous insights. This methodology plays a pivotal role in devising competitive service offerings, engaging customers more effectively, fine-tuning network configurations to ensure steadfast service delivery, and vigilantly monitoring the quality of experience. Beyond operational aspects, it orchestrates improvements in profitability, elevating customer satisfaction and optimizing operational efficiency. Its bedrock rests upon a blend of sophisticated techniques, such as forecasting, optimization, and multifaceted analyses. By harnessing descriptive and predictive modeling, this approach fuels the evolution of intelligent networks and extends the functionality of existing infrastructures. Consequently, telecom analytics is rapidly garnering global attention for its potential to reshape the industry landscape, enhance decision-making capabilities, and catalyze innovation.
The global market is majorly driven by the increasing data generated by mobile devices, IoT devices, and digital services. Furthermore, the quest for improved customer satisfaction and retention is significantly contributing to the market. Communication service providers utilize analytics to comprehend customer preferences, behaviors, and patterns, enabling them to tailor services, troubleshoot issues proactively, and personalize offerings. This personalized approach creates stronger customer loyalty and reduces churn. Besides, the expansion of 5G technology and edge computing have accelerated the need for real-time insights. Telecom analytics empowers CSPs to manage the complexities of 5G networks, optimize resource allocation, and ensure low latency, enhancing network performance and quality. Additionally, telecom analytics plays a pivotal role in combating fraud and security threats. By scrutinizing network data, CSPs can swiftly detect anomalies, unauthorized access, and unusual behaviors, fortifying the security landscape. The integration of AI and machine learning in telecom analytics has opened avenues for predictive maintenance. CSPs can preempt network outages, device malfunctions, and service disruptions, minimizing downtime and increasing operational efficiency.
Increasing monetization of data
The growing trend of data monetization is stimulating the market. Communication service providers (CSPs) recognize that the immense data they collect holds substantial value beyond their traditional services. Telecom analytics empowers CSPs to extract actionable insights from their data, allowing them to offer valuable information-driven services to other industries. By leveraging telecom analytics, CSPs can create new revenue streams through partnerships and collaborations. They can package and sell insights from customer behaviors, network performance, and market trends to businesses seeking data-driven solutions. This shift from being solely service providers to data providers widens the scope of their offerings and increases their market reach. The increasing monetization of data is not only a lucrative opportunity for CSPs but also a driver for the adoption of advanced telecom analytics solutions. As companies seek ways to capitalize on their data assets, telecom analytics becomes a strategic enabler, fostering innovation and growth within the telecom industry.
Rising regulatory compliance and governance
The rising emphasis on regulatory compliance and governance is creating a positive outlook for the market. Communication service providers (CSPs) operate within a complex web of regulations to ensure data protection, privacy, and transparency. As data breaches and privacy concerns gain prominence, CSPs must implement robust measures to adhere to these regulations. Telecom analytics is pivotal in helping CSPs navigate this intricate regulatory landscape. It provides the tools and capabilities to monitor, manage, and ensure compliance with data protection laws and industry standards. By employing telecom analytics, CSPs can track data usage, detect anomalies, and swiftly respond to potential breaches, mitigating risks and avoiding hefty penalties. Moreover, as regulations continue to evolve, the flexibility of telecom analytics enables CSPs to adapt their strategies accordingly. Analyzing real-time data aids in proactive compliance management, fostering customer trust and loyalty. In this context, the demand for telecom analytics solutions is on the rise as CSPs seek to safeguard their operations, reputation, and customer relationships in a regulatory environment that is becoming increasingly stringent.
Escalating network attacks and online data security threats
The escalating prevalence of network attacks and online data security threats is bolstering the market. Communication service providers (CSPs) face an ever-expanding range of cyber threats that target sensitive customer data, network infrastructure, and operational continuity. Telecom analytics equips CSPs with advanced tools to effectively detect, analyze, and thwart these threats. Telecom analytics can swiftly identify potential security breaches by continuously monitoring network traffic and analyzing patterns, anomalies, and deviations. This proactive approach enables CSPs to respond promptly, mitigating the impact of attacks and minimizing downtime. Furthermore, the integration of artificial intelligence and machine learning in telecom analytics enhances threat detection capabilities. These technologies enable the system to recognize emerging attack patterns and zero-day vulnerabilities that traditional security measures might miss. As the threat landscape evolves, the demand for robust security measures grows. Telecom analytics safeguards CSPs' infrastructure and strengthens customer trust by protecting their personal and financial information. In the face of mounting cybersecurity challenges, telecom analytics emerges as a vital instrument against online data security threats, fostering its adoption and market growth.
IMARC Group provides an analysis of the key trends in each segment of the global telecom analytics market report, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on component, deployment mode, organization size and application.
Solution
Services
Solution dominates the market
The report has provided a detailed breakup and analysis of the market based on the component. This includes solution and services. According to the report, solution represented the largest segment.
Telecom analytics solutions encompass a range of tools and software designed to extract actionable insights from vast and complex data sets within the telecommunications ecosystem. These solutions empower communication service providers (CSPs) to make informed decisions, optimize network performance, enhance customer experiences, and ensure regulatory compliance.
The evolution of 5G, IoT, and the demand for data-driven insights has fueled the demand for sophisticated telecom analytics solutions. CSPs recognize the value of harnessing telecom analytics solutions to navigate the intricacies of their operations, improve services, and stay competitive in a dynamic market. As the telecom industry becomes increasingly data-centric, the importance of robust solutions for extracting, analyzing, and interpreting data cannot be overstated.
Cloud-based
On-premises
Cloud-based dominates the market
The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes cloud-based and on-premises. According to the report, cloud-based represented the largest segment.
Cloud-based telecom analytics solutions provide flexibility and scalability, allowing CSPs to adjust resources according to demand seamlessly. This agility is particularly crucial in the dynamic telecommunications landscape, where data volumes fluctuate dramatically. Moreover, the cost-effectiveness of cloud-based solutions appeals to CSPs aiming to optimize operational expenditures. These solutions eliminate the need for substantial upfront investments in hardware and infrastructure while providing access to cutting-edge analytics capabilities.
The accessibility of cloud-based telecom analytics solutions is also noteworthy. CSPs can harness these tools from anywhere, facilitating remote collaboration and accelerating decision-making. As CSPs embrace digital transformation, the cloud-based deployment model aligns well with their strategies for data-driven insights, operational efficiency, and enhanced customer experiences.
Large Enterprises
Small and Medium-sized Enterprises
Large enterprises dominate the market
The report has provided a detailed breakup and analysis of the market based on the organization size. This includes large enterprises, small and medium-sized enterprises. According to the report, large enterprises represented the largest segment.
Large enterprises within the telecommunications sector face intricate challenges driven by the surge in data, evolving customer expectations, and the rapid pace of technological advancements. Telecom analytics solutions catered to large enterprises offer a comprehensive suite of tools that empower these organizations to extract actionable insights from massive datasets. These insights are instrumental in optimizing network performance, enhancing customer experiences, and making informed strategic decisions.
The scalability of telecom analytics solutions is particularly advantageous for large enterprises, as they handle extensive data volumes. By implementing these solutions, such organizations can manage and analyze data efficiently, achieving operational excellence and driving innovation. Furthermore, large enterprises often possess complex operational structures. Telecom analytics solutions streamline and consolidate data analysis, enabling these organizations to gain a unified view of their operations, which is essential for informed decision-making.
Customer Management
Network Management
Sales and Marketing Management
Risk and Compliance Management
Others
Network management dominates the market
The report has provided a detailed breakup and analysis of the market based on the application. This includes customer management, network management, sales and marketing management, risk and compliance management, and others. According to the report, network management represented the largest segment.
Network management is a critical aspect of the telecommunications industry, and telecom analytics has emerged as an indispensable tool in this domain. Telecom analytics solutions for network management enable communication service providers (CSPs) to monitor network performance, identify bottlenecks, predict potential outages, and optimize resource allocation. These insights enhance the overall efficiency and reliability of network operations.
The increasing complexity of 5G networks, IoT devices, and high-speed data transmission requires advanced analytics to maintain optimal network functionality. Telecom analytics aids in real-time monitoring, troubleshooting, and fine-tuning network configurations, ultimately improving service quality. Furthermore, as CSPs strive to provide seamless customer experiences, network management becomes a key differentiator. Telecom analytics solutions allow CSPs to analyze customer behaviors, usage patterns, and preferences, helping them tailor network services to individual needs.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for telecom analytics.
With its established telecommunications infrastructure and technological advancements, North America plays a crucial role in shaping the adoption and expansion of telecom analytics solutions. The rise in data consumption, the expansion of smart devices, and the emergence of 5G technology have intensified the demand for telecom analytics. Communication service providers (CSPs) in this region are actively seeking solutions to optimize network performance, enhance customer experiences, and ensure regulatory compliance.
Moreover, the competitive nature of the North American telecommunications market drives CSPs to leverage analytics for strategic decision-making. As customers increasingly demand personalized services and seamless connectivity, telecom analytics solutions become essential tools to meet these expectations. The concentration of major tech hubs, research institutions, and telecom giants in North America fosters innovation and collaboration in telecom analytics. This environment encourages the development of cutting-edge solutions that address the evolving needs of CSPs.
Top companies are strengthening the market through strategic initiatives. These companies invest in advanced research and development, continuously enhancing 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 its position as a crucial tool for shaping the future of telecommunications.
The report has provided a comprehensive analysis of the competitive landscape in the telecom analytics market. Detailed profiles of all major companies have also been provided.
Accenture plc
Adobe Inc.
Cisco Systems Inc.
Dell Technologies Inc.
International Business Machines Corporation
Oracle Corporation
SAP SE
SAS Institute
Sisense Inc.
Tableau Software (Salesforce.com Inc.)
Teradata Corporation
TIBCO Software Inc.
Accenture plc has acquired Nextira, an Amazon Web Services (AWS) Premier Partner, in 2023 that uses AWS to deliver cloud-native innovation, predictive analytics and immersive experiences for their clients.
In July 2023, Teradata acquired Stemma Technologies, a cloud-native data catalog solution, to enhance its analytics capabilities and provide a more user-friendly experience in the age of AI and ML analytics.
Dell Technologies collaborated with Red Hat to expand Telecom Infrastructure Block portfolio in February 2023.
List of Figures