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市場調查報告書
商品編碼
2064886

智慧交通控制市場預測至2034年－按組件、部署模式、技術、應用、最終用戶和地區分類的全球分析

Intelligent Traffic Steering Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球智慧交通控制市場規模將達到 6 億美元，並在預測期內以 14.7% 的複合年成長率成長，到 2034 年將達到 18 億美元。

智慧流量控制是一種先進的網路管理技術，它能夠根據頻寬可用性、延遲、擁塞情況和用戶需求等即時狀況，動態地將資料流量分配到多個網路路徑、頻率或通訊頻道。該技術利用人工智慧、機器學習和分析技術來最佳化網路效能、提升連接品質並提高資源利用效率。智慧流量控制廣泛應用於5G網路、通訊基礎設施、雲端運算和企業網路等領域，能夠提供流暢的使用者體驗，最大限度地減少網路瓶頸，並高效處理複雜數位生態系統中的大量資料流量。

對多重雲端連線的需求

隨著企業擴大採用多重雲端和混合雲端架構，對跨不同網路路徑和服務供應商的複雜流量管理的需求，顯著推動了對智慧流量控制的需求成長。現代應用程式將工作負載分佈在多個雲端平台、內容傳遞網路和本地資料中心，從而產生複雜的流量模式，而靜態路由無法有效地最佳化這些模式。企業需要能夠持續評估路徑效能、成本和合規性需求的智慧流量控制解決方案，以實現流量的最優路由。

跨域編配的複雜性

對於許多組織而言，在由不同服務供應商營運的異構網路域中實施智慧流量控制，面臨巨大的技術和業務挑戰。每個網路域都採用不同的控制平面協定、策略框架和效能測量系統，這使得端到端流量最佳化極具挑戰性。建立跨域流量控制所需的信任關係、資料共用協議和技術介面，需要大量的投資和持續的協調。

5G網路切片的實現

5G網路切片功能的商業部署為智慧流量控制解決方案帶來了巨大的機遇，這些解決方案能夠將各種應用需求對應到具有特定效能特徵的虛擬化網路切片。通訊業者需要先進的流量控制引擎，以便根據延遲、頻寬、可靠性和安全性要求將企業流量路由到適當的切片。工業自動化、自動駕駛汽車和擴增實境（AR）應用需要確定性的網路效能，而智慧流量控制可以透過動態切片選擇和路由最佳化來確保這一點。

超大規模資料中心業者平台的主導地位

智慧流量控制市場正面臨來自亞馬遜雲端服務 (AWS)、微軟 Azure 和Google雲端等超大規模雲端服務供應商的競爭壓力。這些供應商正日益將先進的流量管理功能整合到其全球網路骨幹和邊緣節點中。憑藉其龐大的基礎設施投資和專有的全球網路，他們以配套服務的形式提供最佳化的連接，從而減少了對第三方流量控制解決方案的需求。企業客戶越來越傾向於選擇能夠與其現有雲端環境無縫整合的雲端原生流量管理方案。

新冠疫情的影響：

新冠疫情擾亂了網路基礎設施部署計劃，延緩了企業數位轉型 (DX) 項目，並為智慧流量控制的普及帶來了短期阻力。然而，疫情也大大加速了遠距辦公、雲端遷移和數位服務的使用，從而提升了分散式網路最佳化流量管理的長期需求。疫情後，企業在網路彈性、應用效能和維運自動化方面的投資正在強化智慧流量控制市場的結構基礎，這將支撐其在預測期內的持續成長。

在預測期內，解決方案領域預計將佔據最大佔有率。

由於市場對能夠提供流量分析、路由最佳化演算法和策略執行引擎的軟體平台有著根本性的需求，預計解決方案領域將在預測期內佔據最大的市場佔有率。流量分析平台、網路最佳化解決方案和策略控制框架是企業實施智慧路由能力的關鍵技術投資領域。思科系統公司、愛立信公司和諾基亞公司等領先的軟體供應商正持續利用基於全球流量模式訓練的機器學習模型來增強其平台。

預計混合部署細分市場在預測期內將呈現最高的複合年成長率。

在預測期內，混合部署領域預計將呈現最高的成長率，這主要得益於企業和通訊業者對結合本地控制平面功能與雲端分析和全局最佳化引擎的部署模式的需求。混合架構使企業能夠在對延遲敏感型應用程式保持本地流量控制決策的同時，利用雲端智慧進行長期模式分析和跨網路最佳化。根據應用需求靈活地在邊緣和雲端之間分配控制智慧，對具有多樣化營運需求的企業極具吸引力。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於Cisco、Juniper Networks和F5等主要網路技術供應商的存在，以及該地區雲端服務供應商和企業多重雲端採用者的高度集中。先進的通訊基礎設施、對網路新創企業的大量創業投資投資以及對軟體定義網路 (SDN) 原則的早期應用，都在鞏固該地區的技術領先地位。美國政府為實現關鍵基礎設施現代化和增強網路安全韌性所做的努力，也進一步鞏固了北美的市場地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於大規模5G網路的部署、企業對雲端運算的快速採用，以及中國、印度、日本和韓國等國政府積極主導的數位基礎設施建設項目。該地區龐大的行動用戶群和不斷成長的數據消費需求，並持續推動網路最佳化技術的發展。政府在智慧城市建設、產業數位化和通訊現代化方面的投入，將在整個預測期內加速該地區智慧交通管理解決方案的普及應用。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球智慧交通控制市場：按組件分類

  • 解決方案
    • 流量分析平台
    • 網路最佳化解決方案
    • 策略控制解決方案
  • 服務
    • 諮詢服務
    • 整合和配置服務
    • 託管服務

第6章 全球智慧交通控制市場：依部署模式分類

  • 基於雲端的
  • 現場
  • 混合實現

第7章 全球智慧交通控制市場：依技術分類

  • 人工智慧
  • 機器學習
  • 軟體定義網路
  • 網路功能虛擬化
  • 邊緣運算

第8章 全球智慧交通轉向市場：按應用分類

  • 行動數據流量管理
  • 視訊流量最佳化
  • 內容傳送最佳化
  • 負載平衡
  • 服務品管
  • 網路壅塞管理

第9章 全球智慧交通控制市場：依最終用戶分類

  • 通訊業者
  • 網際服務供應商
  • 資料中心營運商
  • 雲端服務供應商
  • 公司
  • 政府/國防

第10章 全球智慧交通控制市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Cisco Systems, Inc.
  • Ericsson AB
  • Nokia Corporation
  • Huawei Technologies Co., Ltd.
  • Juniper Networks, Inc.
  • A10 Networks, Inc.
  • F5, Inc.
  • VMware LLC
  • IBM Corporation
  • Oracle Corporation
  • ZTE Corporation
  • Samsung Electronics Co., Ltd.
  • Mavenir Systems, Inc.
  • Affirmed Networks
  • Netcracker Technology Corporation
  • Amdocs Limited
  • NEC Corporation
  • Fortinet, Inc.
Product Code: SMRC36863

According to Stratistics MRC, the Global Intelligent Traffic Steering Market is accounted for $0.6 billion in 2026 and is expected to reach $1.8 billion by 2034 growing at a CAGR of 14.7% during the forecast period. Intelligent Traffic Steering refers to an advanced network management technology that dynamically directs data traffic across multiple network paths, frequencies, or communication channels based on real-time conditions such as bandwidth availability, latency, congestion, and user demand. It leverages artificial intelligence, machine learning, and analytics to optimize network performance, enhance connectivity quality, and improve resource utilization. Widely used in 5G networks, telecom infrastructure, cloud computing, and enterprise networking, intelligent traffic steering supports seamless user experiences, minimizes network bottlenecks, and enables efficient handling of high-volume data traffic across complex digital ecosystems.

Market Dynamics:

Driver:

Multi-cloud connectivity demand

Intelligent traffic steering is experiencing substantial demand growth as enterprises increasingly adopt multi-cloud and hybrid cloud architectures that require sophisticated traffic management across diverse network paths and service providers. Modern applications distribute workloads across multiple cloud platforms, content delivery networks, and on-premises data centers, creating complex traffic patterns that static routing cannot efficiently optimize. Organizations require intelligent steering solutions that continuously evaluate path performance, cost, and compliance requirements to route traffic optimally.

Restraint:

Cross-domain orchestration complexity

The implementation of intelligent traffic steering across heterogeneous network domains operated by different service providers presents significant technical and business complexity for many organizations. Each network domain utilizes distinct control plane protocols, policy frameworks, and performance measurement systems that complicate end-to-end traffic optimization. Establishing the trust relationships, data sharing agreements, and technical interfaces required for cross-domain steering requires substantial investment and ongoing coordination.

Opportunity:

5G network slicing enablement

The commercial deployment of 5G network slicing capabilities is creating substantial opportunities for intelligent traffic steering solutions that can map diverse application requirements to virtualized network slices with specific performance characteristics. Telecommunications operators require sophisticated steering engines to route enterprise traffic onto appropriate slices based on latency, bandwidth, reliability, and security requirements. Industrial automation, autonomous vehicles, and augmented reality applications demand deterministic network performance that intelligent steering can guarantee through dynamic slice selection and path optimization.

Threat:

Hyperscaler platform dominance

The intelligent traffic steering market faces competitive pressure from hyperscale cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud, which increasingly embed advanced traffic management capabilities within their global network backbones and edge locations. These providers leverage their massive infrastructure investments and proprietary global networks to deliver optimized connectivity as a bundled service, reducing the need for third-party steering solutions. Enterprise customers increasingly prefer cloud-native traffic management that integrates seamlessly with their existing cloud deployments.

Covid-19 Impact:

COVID-19 disrupted network infrastructure deployment schedules and delayed enterprise digital transformation programs, creating short-term headwinds for intelligent traffic steering adoption. However, the pandemic dramatically accelerated remote work, cloud migration, and digital service consumption, which increased long-term demand for optimized traffic management across distributed networks. Post-pandemic investments in network resilience, application performance, and operational automation have strengthened the structural foundations for sustained intelligent traffic steering market growth throughout the forecast period.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period, due to the foundational requirement for software platforms that provide traffic analytics, path optimization algorithms, and policy enforcement engines across network infrastructure. Traffic analytics platforms, network optimization solutions, and policy control frameworks represent the primary technology investment for organizations implementing intelligent steering capabilities. Leading software vendors, including Cisco Systems, Inc., Ericsson AB, and Nokia Corporation, continue to enhance their platforms with machine learning models trained on global traffic patterns.

The hybrid deployment segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the hybrid deployment segment is predicted to witness the highest growth rate, driven by enterprise and telecommunications operator demand for deployment models that combine on-premises control plane functions with cloud-based analytics and global optimization engines. Hybrid architectures enable organizations to maintain local traffic steering decisions for latency-sensitive applications while leveraging cloud intelligence for long-term pattern analysis and cross-network optimization. The flexibility to distribute steering intelligence between edge and cloud based on application requirements appeals to organizations with diverse operational needs.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the presence of dominant networking technology vendors, including Cisco Systems, Inc., Juniper Networks, Inc., and F5, Inc., combined with the highest concentration of cloud service providers and enterprise multi-cloud adopters. Advanced telecommunications infrastructure, significant venture capital investment in networking startups, and early adoption of software-defined networking principles reinforce regional technology leadership. US government initiatives supporting critical infrastructure modernization and cybersecurity resilience further strengthen North America's market position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to massive 5G network deployments, rapid cloud adoption across enterprises, and aggressive government digital infrastructure programs across China, India, Japan, and South Korea. The region's enormous mobile subscriber base and growing data consumption create sustained demand for network optimization technologies. Government investments in smart city development, industrial digitization, and telecommunications modernization accelerate regional adoption of intelligent traffic management solutions throughout the forecast period.

Key players in the market

Some of the key players in Intelligent Traffic Steering Market include Cisco Systems, Inc., Ericsson AB, Nokia Corporation, Huawei Technologies Co., Ltd., Juniper Networks, Inc., A10 Networks, Inc., F5, Inc., VMware LLC, IBM Corporation, Oracle Corporation, ZTE Corporation, Samsung Electronics Co., Ltd., Mavenir Systems, Inc., Affirmed Networks, Netcracker Technology Corporation, Amdocs Limited, NEC Corporation, and Fortinet, Inc..

Key Developments:

In May 2026, Cisco Systems, Inc. launched an AI-powered traffic steering controller for multi-cloud enterprise environments, enabling real-time path optimization across hybrid network architectures.

In April 2026, Ericsson AB introduced an intelligent traffic steering solution for 5G standalone networks, enabling dynamic slice selection based on application performance requirements.

In March 2026, F5, Inc. expanded its traffic management platform with machine learning-based predictive steering capabilities for global application delivery networks.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid Deployment

Technologies Covered:

  • Artificial Intelligence
  • Machine Learning
  • Software-Defined Networking
  • Network Function Virtualization
  • Edge Computing

Applications Covered:

  • Mobile Data Traffic Management
  • Video Traffic Optimization
  • Content Delivery Optimization
  • Load Balancing
  • Quality of Service Management
  • Network Congestion Management

End Users Covered:

  • Telecom Operators
  • Internet Service Providers
  • Data Center Operators
  • Cloud Service Providers
  • Enterprises
  • Government & Defense

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Intelligent Traffic Steering Market, By Component

  • 5.1 Solutions
    • 5.1.1 Traffic Analytics Platforms
    • 5.1.2 Network Optimization Solutions
    • 5.1.3 Policy Control Solutions
  • 5.2 Services
    • 5.2.1 Consulting Services
    • 5.2.2 Integration & Deployment Services
    • 5.2.3 Managed Services

6 Global Intelligent Traffic Steering Market, By Deployment Mode

  • 6.1 Cloud-Based
  • 6.2 On-Premise
  • 6.3 Hybrid Deployment

7 Global Intelligent Traffic Steering Market, By Technology

  • 7.1 Artificial Intelligence
  • 7.2 Machine Learning
  • 7.3 Software-Defined Networking
  • 7.4 Network Function Virtualization
  • 7.5 Edge Computing

8 Global Intelligent Traffic Steering Market, By Application

  • 8.1 Mobile Data Traffic Management
  • 8.2 Video Traffic Optimization
  • 8.3 Content Delivery Optimization
  • 8.4 Load Balancing
  • 8.5 Quality of Service Management
  • 8.6 Network Congestion Management

9 Global Intelligent Traffic Steering Market, By End User

  • 9.1 Telecom Operators
  • 9.2 Internet Service Providers
  • 9.3 Data Center Operators
  • 9.4 Cloud Service Providers
  • 9.5 Enterprises
  • 9.6 Government & Defense

10 Global Intelligent Traffic Steering Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Cisco Systems, Inc.
  • 13.2 Ericsson AB
  • 13.3 Nokia Corporation
  • 13.4 Huawei Technologies Co., Ltd.
  • 13.5 Juniper Networks, Inc.
  • 13.6 A10 Networks, Inc.
  • 13.7 F5, Inc.
  • 13.8 VMware LLC
  • 13.9 IBM Corporation
  • 13.10 Oracle Corporation
  • 13.11 ZTE Corporation
  • 13.12 Samsung Electronics Co., Ltd.
  • 13.13 Mavenir Systems, Inc.
  • 13.14 Affirmed Networks
  • 13.15 Netcracker Technology Corporation
  • 13.16 Amdocs Limited
  • 13.17 NEC Corporation
  • 13.18 Fortinet, Inc.

List of Tables

  • Table 1 Global Intelligent Traffic Steering Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Intelligent Traffic Steering Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Intelligent Traffic Steering Market Outlook, By Solutions (2023-2034) ($MN)
  • Table 4 Global Intelligent Traffic Steering Market Outlook, By Traffic Analytics Platforms (2023-2034) ($MN)
  • Table 5 Global Intelligent Traffic Steering Market Outlook, By Network Optimization Solutions (2023-2034) ($MN)
  • Table 6 Global Intelligent Traffic Steering Market Outlook, By Policy Control Solutions (2023-2034) ($MN)
  • Table 7 Global Intelligent Traffic Steering Market Outlook, By Services (2023-2034) ($MN)
  • Table 8 Global Intelligent Traffic Steering Market Outlook, By Consulting Services (2023-2034) ($MN)
  • Table 9 Global Intelligent Traffic Steering Market Outlook, By Integration & Deployment Services (2023-2034) ($MN)
  • Table 10 Global Intelligent Traffic Steering Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 11 Global Intelligent Traffic Steering Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 12 Global Intelligent Traffic Steering Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global Intelligent Traffic Steering Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 14 Global Intelligent Traffic Steering Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 15 Global Intelligent Traffic Steering Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global Intelligent Traffic Steering Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 17 Global Intelligent Traffic Steering Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 18 Global Intelligent Traffic Steering Market Outlook, By Software-Defined Networking (2023-2034) ($MN)
  • Table 19 Global Intelligent Traffic Steering Market Outlook, By Network Function Virtualization (2023-2034) ($MN)
  • Table 20 Global Intelligent Traffic Steering Market Outlook, By Edge Computing (2023-2034) ($MN)
  • Table 21 Global Intelligent Traffic Steering Market Outlook, By Application (2023-2034) ($MN)
  • Table 22 Global Intelligent Traffic Steering Market Outlook, By Mobile Data Traffic Management (2023-2034) ($MN)
  • Table 23 Global Intelligent Traffic Steering Market Outlook, By Video Traffic Optimization (2023-2034) ($MN)
  • Table 24 Global Intelligent Traffic Steering Market Outlook, By Content Delivery Optimization (2023-2034) ($MN)
  • Table 25 Global Intelligent Traffic Steering Market Outlook, By Load Balancing (2023-2034) ($MN)
  • Table 26 Global Intelligent Traffic Steering Market Outlook, By Quality of Service Management (2023-2034) ($MN)
  • Table 27 Global Intelligent Traffic Steering Market Outlook, By Network Congestion Management (2023-2034) ($MN)
  • Table 28 Global Intelligent Traffic Steering Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global Intelligent Traffic Steering Market Outlook, By Telecom Operators (2023-2034) ($MN)
  • Table 30 Global Intelligent Traffic Steering Market Outlook, By Internet Service Providers (2023-2034) ($MN)
  • Table 31 Global Intelligent Traffic Steering Market Outlook, By Data Center Operators (2023-2034) ($MN)
  • Table 32 Global Intelligent Traffic Steering Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 33 Global Intelligent Traffic Steering Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 34 Global Intelligent Traffic Steering Market Outlook, By Government & Defense (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.