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テレコムにおける人工知能の世界市場

Artificial Intelligence in Telecom

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ページ情報
英文 208 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
テレコムにおける人工知能の世界市場
出版日: 2025年06月06日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 208 Pages
納期: 即日から翌営業日
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概要

テレコムにおける人工知能の世界市場は2030年までに4億250万米ドルに達する見込み

2024年に4,860万米ドルと推定されるテレコムにおける人工知能の世界市場は、2024年から2030年にかけてCAGR 42.2%で成長し、2030年には4億250万米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるAIソリューションは、CAGR44.9%を記録し、分析期間終了時には3億1,990万米ドルに達すると予測されます。AIサービスセグメントの成長率は、分析期間でCAGR34.4％と推定されます。

米国市場は1,280万米ドルと推定、中国はCAGR39.8％で成長予測

米国のテレコムにおける人工知能市場は、2024年に1,280万米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに5,880万米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは39.8%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ38.7％と36.0％と予測されています。欧州では、ドイツがCAGR 28.4%で成長すると予測されています。

世界のテレコムにおける人工知能市場- 主要動向と促進要因まとめ

なぜ人工知能が電気通信のネットワーク最適化、顧客体験、業務効率の中心になりつつあるのか？

人工知能（AI）は、予測的、自律的、インテリジェントなネットワーク運用を可能にすることで、世界の通信事情を再定義しています。通信事業者が急増するデータ量、5G展開の複雑さ、パーソナライズされたデジタルサービスに対する需要の高まりに取り組む中、AIはコア、アクセス、サービスの各レイヤーに統合され、コスト効率を高め、サービス品質を向上させ、リアルタイムの意思決定を可能にしています。その役割は、ネットワーク・トラフィックの予測や異常検知から、予知保全や不正行為の軽減にまで及び、AIは通信のデジタル・トランスフォーメーションにおける戦略的資産となっています。

AIを活用したネットワーク最適化ツールにより、事業者は膨大な量のリアルタイムおよび過去のパフォーマンス・データを分析し、トラフィックを動的に管理し、リソースを割り当て、サービス品質（QoS）を維持することができます。これらのシステムは、輻輳パターンを検出し、構成を自動調整し、ダウンタイムを最小限に抑え、スループットを向上させる是正措置を開始します。自己組織化ネットワーク（SON）では、AIアルゴリズムがパラメータ調整、干渉緩和、スペクトラム管理を自動化し、通信事業者が5Gや将来対応アーキテクチャをより正確かつ迅速に拡張できるようにします。

顧客対応業務では、AIがインテリジェントなバーチャルアシスタント、パーソナライズされたサービス推奨、ダイナミックな価格戦略を実現し、エンゲージメントモデルを変革しています。自然言語処理（NLP）とセンチメント分析により、通信事業者は顧客からの問い合わせを解釈し、解約リスクを予測し、サービス上の問題をプロアクティブに解決することができます。これらのAI主導のタッチポイントは、コールセンターの負荷を軽減し、解決時間を改善し、顧客満足度を高めます。

予測分析、ネットワーク・インテリジェンス、エッジでのAIはどのように通信会社の能力を拡張しているのか？

予測分析は、通信事業者が静的な計画から予測的なネットワーク管理へと移行することを可能にします。利用動向、デバイスの動作、地理空間データに基づいてトレーニングされた機械学習（ML）モデルは、将来の需要を予測し、事業者がインフラのアップグレードを計画し、エネルギー消費を管理し、潜在的なサービス中断を緩和するのに役立ちます。このような先見性は、5Gの高密度化、IoTデバイスの急増、予測不可能で動的なネットワーク負荷を生み出すハイブリッドな作業環境において特に重要です。

AI主導のネットワーク・インテリジェンスは、通信環境全体のセキュリティ、不正検出、コンプライアンス監視をサポートしています。行動分析、異常検知、教師あり学習モデルは、SIMクローニング、コールスプーフィング、不正アクセスの試みをリアルタイムで特定するために使用されます。AIはまた、合法的な傍受のコンプライアンス、監査の自動化、サイバーリスクのスコアリングをサポートし、通信事業者がサービスの完全性を維持しながら顧客データを保護できるようにします。並行して、AIは障害管理システムの根本原因分析を自動化するために使用され、平均解決時間（MTTR）を短縮し、サービス低下を最小限に抑えます。

エッジAIは、特にAR/VR、自律走行車、スマート工場、遠隔診断などのリアルタイム・アプリケーションをサポートし、電気通信における超低遅延サービスの戦略的実現要因として台頭しています。基地局、スモールセル、またはオンプレミスのMECノードなど、ネットワークのエッジでローカルにデータを処理することで、AIはバックホールの混雑を緩和し、高速でコンテキストを意識した意思決定を可能にします。通信事業者にとっては、コア・インフラからコンピュート・ロードを分散させながら、差別化されたレイテンシ重視のサービスを通じて5Gの収益化を促進します。

どのような商業モデルと地域市場が通信事業におけるAI統合を促進しているのか？

通信事業者は、ネットワーク・プランニングやサービス・オーケストレーションから顧客維持やマーケティング・オートメーションに至るまで、複数の運用・商業レイヤーにAIを組み込んでいます。B2Cモデルでは、加入者の行動を分析し、コンテンツバンドルを推奨し、利用パターンに合わせてオファーを調整し、ユーザー1人当たりの平均売上高（ARPU）を増加させるためにAIが使用されています。B2Bサービスでは、通信事業者はAIを企業接続、サイバーセキュリティ・ソリューション、IoTプラットフォームに統合し、製造、物流、ヘルスケア、スマートシティなどの垂直顧客にインテリジェントで付加価値の高いサービスを提供しています。

展開の面では、通信事業者は自社でのAI開発とAI-as-a-サービス・パートナーシップを組み合わせたハイブリッド・モデルを採用しています。クラウド・ハイパースケーラーやAI新興企業は、自動プロビジョニング、ネットワークのデジタル・ツイン、AIベースの顧客インサイトなどのユースケースのためのモジュラー・プラットフォームを提供しています。このような提携により、事業者は柔軟性とコスト管理を維持しながら、実装を迅速に進めることができます。AIの専門知識を制度化し、長期的な変革ロードマップをサポートするために、AIセンター・オブ・エクセレンスや部門横断的なデータサイエンス・チームも設立されています。

地域別では、北米と西欧が、5Gの早期導入、強力なデジタル・インフラ、サービス品質に関する規制の義務化などを背景に、通信事業におけるAI統合をリードしています。アジア太平洋は急速に拡大しており、中国、日本、韓国、インドの通信事業者は、ネットワークの複雑性を管理し、周波数帯域の利用を最適化し、スマートシティ構想をサポートするためにAIを導入しています。中東・アフリカでは、モバイル・ブロードバンドの拡大、農村部の接続計画の自動化、リソースに制約のある環境での運用回復力の向上にAIが活用されています。

データガバナンス、標準化、ROI指標は戦略的展開にどのような影響を与えているか？

通信事業におけるAIの導入は、強固なデータガバナンス、規制遵守、倫理的監視の必要性によってますます形づくられています。通信事業者は、ユーザーのプライバシーを損なうことなく安全なAIトレーニングを可能にするため、データの匿名化、アクセス制御、連携学習モデルに投資しています。GDPR、各地域の電気通信法、サイバーセキュリティの枠組みへの準拠は、特にカスタマーエクスペリエンス、課金、監視の領域において、AIモデル展開の必須条件となりつつあります。

TMフォーラム、GSMA、ETSIなどの業界団体による標準化の取り組みは、共通のアーキテクチャ、API、パフォーマンス・ベンチマークを定義することで、AIのスケーラビリティをサポートしています。これらの標準は、AIモジュール間の相互運用性を促進し、ベンダーのロックインを減らし、通信エコシステム全体のオープンイノベーションを促進します。これと並行して、説明可能なAI（XAI）が普及しつつあり、事業者はサービス提供、ネットワークのスロットリング、カスタマーサポートの優先順位付けにおいて、AI主導の決定を正当化することが求められています。

投資収益率（ROI）は、AIイニシアチブを拡大する上で依然として重要な要素です。通信事業者は、インテリジェントな冷却システムによるエネルギー節約、予知保全によるOPEX節約、AI対応パーソナライゼーションによる解約削減など、目に見えるコスト削減を伴う使用事例を優先しています。より大規模なAI投資を正当化するため、多くの事業者はAIの成果を収益の向上、サービスレベルの改善、顧客維持の指標に結びつけるKPIフレームワークを確立しています。こうしたROIモデルは、経営幹部の賛同を確保し、長期的なAIイノベーション・パイプラインを維持するための鍵となります。

通信AI市場の成長を促進する要因とは？

電気通信分野のAI市場は、5Gの複雑化、顧客の期待の高まり、ネットワークの自動化と予測的サービス提供の必要性に後押しされ、着実に拡大しています。通信事業者はAIを活用して、自己最適化、自己回復、ユーザー行動やサービス需要に動的に対応できるインテリジェントな適応型ネットワークを構築しています。

エッジコンピューティング、リアルタイムアナリティクス、自律システムの技術的進歩により、フロントエンドとバックエンドの両方の通信事業においてAIの有用性が高まっています。AIの成熟度が高まるにつれて、使用事例はコスト削減だけでなく、差別化されたサービス、高度な分析、インテリジェントな企業ソリューションによる収益創出へと拡大しています。

今後、電気通信事業におけるAIの成功は、事業者がデータガバナンス、エコシステム・コラボレーション、バリューベースのスケーリングをいかに効果的にデジタル戦略に統合できるかにかかっています。通信事業者がデジタル・サービス・プロバイダーへと進化する中で、AIはインテリジェントで回復力があり、収益化可能な次世代通信インフラを実現する基盤レイヤーとなり得るだろうか。

セグメント

コンポーネント（ソリューション、サービス）、デプロイメント（クラウド、オンプレミス）、テクノロジー（機械学習、自然言語処理、データ分析）、アプリケーション（顧客分析、ネットワークセキュリティ、ネットワーク最適化、自己診断、バーチャルアシスタント、その他のアプリケーション）

調査対象企業の例（全42件）

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、人為的な売上原価の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

Global Industry Analystsは、世界の主要なチーフ・エコノミスト（1万4,949人）、シンクタンク（62団体）、貿易・産業団体（171団体）の専門家の意見に熱心に従いながら、エコシステムへの影響を評価し、新たな市場の現実に対処しています。あらゆる主要国の専門家やエコノミストが、関税とそれが自国に与える影響についての意見を追跡調査しています。

Global Industry Analystsは、この混乱が今後2-3ヶ月で収束し、新しい世界秩序がより明確に確立されると予想しています。Global Industry Analystsは、これらの開発をリアルタイムで追跡しています。

2025年4月：交渉フェーズ

4月のリリースでは、世界市場全体に対する関税の影響を取り上げ、地域別の市場調整について紹介します。当社の予測は、過去のデータと進化する市場影響要因に基づいています。

2025年7月：最終関税リセット

お客様には、各国間で最終リセットが発表された後、7月に無料アップデート版をお届けします。最終アップデート版には、明確に定義された関税影響分析が組み込まれています。

相互および二国間貿易と関税の影響分析：

アメリカ <>中国<>メキシコ <>カナダ <>EU <>日本<>インド <>その他176カ国

業界をリードするエコノミスト：Global Industry Analystsの知識ベースは、国家、シンクタンク、貿易・産業団体、大企業、そして世界の計量経済状況におけるこの前例のないパラダイムシフトの影響を共有する領域の専門家など、最も影響力のあるチーフエコノミストの厳選されたグループを含む1万4,949人のエコノミストを追跡しています。我々の16,491以上のレポートのほとんどは、マイルストーンに基づくこの2段階のリリーススケジュールを取り入れています。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP34629

Global Artificial Intelligence in Telecom Market to Reach US$402.5 Million by 2030

The global market for Artificial Intelligence in Telecom estimated at US$48.6 Million in the year 2024, is expected to reach US$402.5 Million by 2030, growing at a CAGR of 42.2% over the analysis period 2024-2030. AI Solutions, one of the segments analyzed in the report, is expected to record a 44.9% CAGR and reach US$319.9 Million by the end of the analysis period. Growth in the AI Services segment is estimated at 34.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$12.8 Million While China is Forecast to Grow at 39.8% CAGR

The Artificial Intelligence in Telecom market in the U.S. is estimated at US$12.8 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$58.8 Million by the year 2030 trailing a CAGR of 39.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 38.7% and 36.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 28.4% CAGR.

Global Artificial Intelligence in Telecom Market - Key Trends & Drivers Summarized

Why Is Artificial Intelligence Becoming Central to Network Optimization, Customer Experience, and Operational Efficiency in Telecom?

Artificial Intelligence (AI) is redefining the global telecommunications landscape by enabling predictive, autonomous, and intelligent network operations. As telcos grapple with surging data volumes, the complexity of 5G rollouts, and increasing demand for personalized digital services, AI is being integrated across core, access, and service layers to drive cost efficiencies, elevate service quality, and enable real-time decision-making. Its role spans from network traffic forecasting and anomaly detection to predictive maintenance and fraud mitigation-making AI a strategic asset in telecom digital transformation.

AI-powered network optimization tools allow operators to analyze vast volumes of real-time and historical performance data to dynamically manage traffic, allocate resources, and maintain quality of service (QoS). These systems detect congestion patterns, auto-adjust configurations, and initiate corrective actions-minimizing downtime and enhancing throughput. In self-organizing networks (SONs), AI algorithms automate parameter tuning, interference mitigation, and spectrum management, enabling telcos to scale 5G and future-ready architectures with greater precision and responsiveness.

In customer-facing operations, AI is transforming engagement models by powering intelligent virtual assistants, personalized service recommendations, and dynamic pricing strategies. Natural language processing (NLP) and sentiment analysis allow telcos to interpret customer queries, predict churn risk, and proactively resolve service issues. These AI-driven touchpoints reduce call center loads, improve resolution times, and enhance customer satisfaction-shifting the focus from reactive support to anticipatory service delivery.

How Are Predictive Analytics, Network Intelligence, and AI at the Edge Expanding Telco Capabilities?

Predictive analytics is enabling telecom operators to transition from static planning to anticipatory network management. Machine learning (ML) models trained on usage trends, device behavior, and geospatial data forecast future demand, helping operators plan infrastructure upgrades, manage energy consumption, and mitigate potential service disruptions. This foresight is particularly critical in the context of 5G densification, IoT device proliferation, and hybrid work environments that generate unpredictable and dynamic network loads.

AI-driven network intelligence is supporting security, fraud detection, and compliance monitoring across telecom environments. Behavioral analytics, anomaly detection, and supervised learning models are used to identify SIM cloning, call spoofing, and unauthorized access attempts in real time. AI also supports lawful intercept compliance, audit automation, and cyber risk scoring-allowing telcos to protect customer data while maintaining service integrity. In parallel, AI is used to automate root cause analysis in fault management systems, accelerating mean time to resolution (MTTR) and minimizing service degradation.

Edge AI is emerging as a strategic enabler of ultra-low latency services in telecom, particularly in support of real-time applications such as AR/VR, autonomous vehicles, smart factories, and remote diagnostics. By processing data locally at the edge of the network-within base stations, small cells, or on-premise MEC nodes-AI reduces backhaul congestion and ensures high-speed, context-aware decision-making. For telcos, this facilitates the monetization of 5G through differentiated, latency-sensitive offerings while decentralizing compute loads from core infrastructure.

Which Commercial Models and Regional Markets Are Driving AI Integration in Telecom?

Telecom operators are embedding AI across multiple operational and commercial layers, from network planning and service orchestration to customer retention and marketing automation. In B2C models, AI is used to analyze subscriber behavior, recommend content bundles, and tailor offers to usage patterns, increasing average revenue per user (ARPU). In B2B services, telcos are integrating AI into enterprise connectivity, cybersecurity solutions, and IoT platforms to deliver intelligent, value-added services to vertical clients in manufacturing, logistics, healthcare, and smart cities.

In terms of deployment, telcos are adopting hybrid models that combine in-house AI development with AI-as-a-service partnerships. Cloud hyperscalers and AI startups are providing modular platforms for use cases such as automated provisioning, digital twins for networks, and AI-based customer insights. These collaborations allow operators to fast-track implementation while maintaining flexibility and cost control. AI centers of excellence and cross-functional data science teams are also being established to institutionalize AI expertise and support long-term transformation roadmaps.

Regionally, North America and Western Europe lead AI integration in telecom, driven by early 5G deployment, strong digital infrastructure, and regulatory mandates on service quality. Asia-Pacific is rapidly scaling, with operators in China, Japan, South Korea, and India deploying AI to manage network complexity, optimize spectrum usage, and support smart city initiatives. In the Middle East and Africa, AI is being used to expand mobile broadband, automate rural connectivity planning, and improve operational resilience in resource-constrained environments.

How Are Data Governance, Standards Alignment, and ROI Metrics Influencing Strategic Deployment?

AI adoption in telecom is increasingly shaped by the need for robust data governance, regulatory compliance, and ethical oversight. Operators are investing in data anonymization, access controls, and federated learning models to enable secure AI training without compromising user privacy. Compliance with GDPR, local telecom laws, and cybersecurity frameworks is becoming a prerequisite for AI model deployment-especially in customer experience, billing, and surveillance domains.

Standardization efforts by industry bodies such as TM Forum, GSMA, and ETSI are supporting AI scalability by defining common architectures, APIs, and performance benchmarks. These standards facilitate interoperability between AI modules, reduce vendor lock-in, and promote open innovation across the telecom ecosystem. In parallel, explainable AI (XAI) is gaining traction, with operators required to justify AI-driven decisions in service provisioning, network throttling, or customer support prioritization.

Return on investment (ROI) remains a critical factor in scaling AI initiatives. Telcos are prioritizing use cases with tangible cost reductions, such as energy savings from intelligent cooling systems, OPEX savings from predictive maintenance, and churn reduction through AI-enabled personalization. To justify larger AI investments, many operators are establishing KPI frameworks that link AI outcomes to revenue uplift, service-level improvement, and customer retention metrics. These ROI models are key to securing executive buy-in and sustaining long-term AI innovation pipelines.

What Are the Factors Driving Growth in the AI in Telecom Market?

The AI in telecom market is expanding steadily, fueled by 5G complexity, rising customer expectations, and the imperative for network automation and predictive service delivery. Operators are leveraging AI to build intelligent, adaptive networks that can self-optimize, self-heal, and dynamically align with user behavior and service demand.

Technological advancements in edge computing, real-time analytics, and autonomous systems are enhancing AI’s utility across both front-end and back-end telecom operations. As AI maturity increases, use cases are expanding beyond cost reduction to revenue generation through differentiated services, advanced analytics, and intelligent enterprise solutions.

Looking ahead, the success of AI in telecom will depend on how effectively operators integrate data governance, ecosystem collaboration, and value-based scaling into their digital strategies. As telcos evolve into digital service providers, could AI become the foundational layer enabling intelligent, resilient, and monetizable next-generation telecom infrastructure?

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence in Telecom market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Solutions, Services); Deployment (Cloud, On-Premise); Technology (Machine Learning, Natural Language Processing, Data Analytics); Application (Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 42 Featured) -

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

COMPLIMENTARY PREVIEW

Contact your sales agent to request an online 300+ page complimentary preview of this research project. Our preview will present full stack sources, and validated domain expert data transcripts. Deep dive into our interactive data-driven online platform.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Artificial Intelligence in Telecom - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Network Complexity and Data Traffic Throws the Spotlight on AI in Telecom Operations
    • Growth in 5G and Edge Deployments Spurs Use of AI for Network Slicing, Resource Allocation, and Load Balancing
    • OEM Integration of AI in Fault Detection and Self-Healing Networks Enhances Uptime and Performance
    • Expansion of Predictive Maintenance and Automated Ticketing Bodes Well for OPEX Reduction
    • Use of AI in Customer Service Chatbots and Voice Assistants Strengthens Subscriber Engagement
    • Telecom Analytics Platforms Leverage AI for Churn Prediction and Targeted Retention Strategies
    • Adoption of AI in Fraud Detection and Revenue Assurance Supports Real-Time Risk Mitigation
    • AI-Based Traffic Analysis Enhances QoS for Video Streaming, VoIP, and Gaming Applications
    • Growth in Telecom AI-as-a-Service Platforms Enables SME Access to Advanced Network Intelligence
    • Use in Dynamic Spectrum Management and Energy Optimization Supports Green Telecom Objectives
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence in Telecom Market Analysis of Annual Sales in US$ for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Solutions by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Network Optimization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Network Optimization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Self-Diagnostics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Self-Diagnostics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Virtual Assistance by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Virtual Assistance by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Customer Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Customer Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Network Security by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Network Security by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Data Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Data Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 36: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 37: USA 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 42: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 48: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 52: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 54: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 55: China 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 56: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 58: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 59: China 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 60: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 61: China 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 62: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 63: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 64: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 66: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 70: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 72: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 73: France 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 74: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 75: France 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 76: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 77: France 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 78: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 79: France 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 80: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 82: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 84: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ITALY
    • TABLE 88: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 90: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 92: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 94: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 96: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 97: UK 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 98: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 99: UK 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 100: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 101: UK 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 102: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 103: UK 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 104: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 106: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 107: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 108: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 109: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 110: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 111: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 112: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 113: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 114: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 115: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 116: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 118: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 119: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 120: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 121: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 122: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 124: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 125: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 126: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 127: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030

IV. COMPETITION