세계의 네트워크 자동화 시장 : 제공 제품별, 네트워크 자동화 유형별, 네트워크 유형별, 최종사용자별, 지역별 - 예측(-2030년)

The global network automation market is expected to grow from USD 7.88 billion in 2025 to USD 12.38 billion by 2030, at a compound annual growth rate (CAGR) of 9.4% during the forecast period. The global network automation market is driven by factors such as rising network complexity resulting from multi-cloud adoption, hybrid IT infrastructures, IoT proliferation, and edge computing, creating a strong need for automated management. The widespread deployment of SDN, NFV, and intent-based networking further accelerates this trend, as these technologies require large-scale policy enforcement and programmability.

Growing cybersecurity threats and stringent compliance requirements are pushing enterprises to automate monitoring, patching, and governance. Additionally, the rollouts of 5G and edge networks are creating distributed, low-latency environments that cannot be managed manually, while advancements in AI, ML, analytics, and zero-touch provisioning enable predictive, self-healing, and highly resilient networks. However, the market faces restraints such as high initial investment costs, challenges in integrating with legacy systems, a shortage of skilled professionals, potential security vulnerabilities in automated systems, and interoperability issues that may lead to vendor lock-in. These drivers and restraints are shaping the adoption and evolution of network automation across industries.

Based on offering, the software segment is expected to hold the largest market share during the forecast period

Software in the network automation comprises platforms and tools that enable automated network management, orchestration, and optimization across complex, multi-vendor environments. It includes configuration management, analytics and monitoring solutions, policy-driven automation, and intent-based networking applications, helping organizations streamline provisioning, enforce consistent policies, and reduce operational errors. The growing complexity of networks, driven by the adoption of multi-cloud, IoT, and edge computing, along with the rise of SDN, NFV, and AI-driven management, is accelerating the demand for software solutions. As a critical subsegment, software empowers enterprises and service providers to achieve agility, scalability, and operational efficiency, supporting broader digital transformation initiatives.

Based on the network type, the cloud networks segment is expected to grow at the highest CAGR during the forecast period

The rapid shift toward hybrid and multi-cloud environments represents a major growth area for network automation. Cloud service providers and enterprises are leveraging automation to orchestrate network services across distributed environments, ensuring agility, scalability, and consistent performance. Automated cloud networking enables seamless integration of workloads across public and private clouds, enhances service delivery through APIs and programmable infrastructure, and reduces operational costs by eliminating repetitive tasks. In addition, cloud-native automation tools help maintain compliance and security in highly dynamic, elastic network environments, positioning this segment as a cornerstone of modern enterprise networking.

Asia Pacific is expected to grow at the highest CAGR during the forecast period

The Asia Pacific region is emerging as the fastest-growing market for network automation, driven by rapid digital transformation, the expansion of 5G networks, and increasing demand for efficient IT infrastructure. Countries such as China, India, and Japan are leading the way, with significant investments in network infrastructure and a growing number of enterprises adopting automation solutions to enhance operational efficiency. The proliferation of smart cities, the rise of Industry 4.0 initiatives, and the need for scalable, agile networks are further propelling the adoption of network automation technologies across the region. This growth is also supported by the increasing availability of cloud services and advancements in artificial intelligence, which enable more intelligent and responsive network management. Overall, Asia Pacific presents substantial opportunities for vendors and service providers in the network automation space, with a strong emphasis on innovation, scalability, and digital resilience.

Breakdown of primaries

We interviewed Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant network automation market companies.

• By Company: Tier I: 35%, Tier II: 40%, and Tier III: 25%
• By Designation: C-Level Executives: 35%, Director Level: 25%, and Others: 40%
• By Region: North America: 30%, Europe: 35%, Asia Pacific: 25%, Rest of the World: 10%

Some of the significant network automation vendors are Cisco (US), IBM (US), HPE (US), Huawei (China), VMware (US), Arista Networks (US), Nokia (Finland), Ericsson (Sweden), Extreme Networks (US), and Fujitsu (Japan).

Research coverage:

The market report covered the network automation market across segments. We estimated the market size and growth potential for various segments based on offering, network automation type, network type, end-user, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product offerings, current trends, and critical market strategies.

Reasons to buy this report:

With information on the most accurate revenue estimates for the whole network automation industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's enhanced understanding of the competitive environment, which will enable them to better position their companies and develop effective go-to-market strategies. The research provides insights into the primary market drivers, constraints, opportunities, and challenges, enabling players to grasp the industry's pulse.

The report provides insights into the following pointers:

Analysis of key drivers (Rising network complexity & scale, need for operational efficiency & cost reduction, and security & compliance requirements), restraints (High initial investment & integration challenges, and lack of skilled workforce), opportunities (Integration of AI and ML in network automation to drive autonomous networks, 5G & edge computing expansion, and cloud-native & multi-vendor interoperability), and challenges (Security risks of automated networks, and vendor lock-in & interoperability issues).

• Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and service and product introductions in the network automation market.
• Market Development: In-depth details regarding profitable markets: the paper examines the global network automation market.
• Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the network automation market.
• Competitive Assessment: Thorough analysis of the market shares, expansion plans, platforms, and service portfolios of the top competitors in the network automation industry, such as Cisco (US), IBM (US), HPE (US), Huawei (China), VMware (US), Arista Networks (US), Nokia (Finland), Ericsson (Sweden), Extreme Networks (US), Fujitsu (Japan), NetBrain Technologies (US), Gluware (US), SolarWinds (US), Riverbed (US), Forward Networks (US), Palo Alto Networks (US), Aviz Networks (US), Itential (US), BackBox (US), NetYCE (Netherlands), Kentik (US), Anuta Networks (US), Versa Networks (US), Infoblox (US), Auvik Networks (Canada), Arrcus (US), BlueCat (Canada), and Stardust Systems (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
• 1.4 YEARS CONSIDERED
• 1.5 CURRENCY CONSIDERED
• 1.6 STAKEHOLDERS
• 1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 Secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Breakup of primary profiles
    • 2.1.2.2 Primary sources
    • 2.1.2.3 Key industry insights
• 2.2 MARKET BREAKUP AND DATA TRIANGULATION
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 BOTTOM-UP APPROACH
  • 2.3.2 TOP-DOWN APPROACH
• 2.4 GROWTH FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS
• 4.2 NORTH AMERICAN NETWORK AUTOMATION MARKET, BY TOP 3 NETWORK TYPES & COUNTRY, 2025
• 4.3 ASIA PACIFIC NETWORK AUTOMATION MARKET, BY TOP 3 NETWORK TYPES & TOP 3 COUNTRIES, 2025
• 4.4 NETWORK AUTOMATION MARKET, BY NETWORK AUTOMATION TYPE, 2025
• 4.5 NETWORK AUTOMATION MARKET, BY ENTERPRISE, 2025

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising network complexity & scale
    • 5.2.1.2 Need for operational efficiency & cost reduction
    • 5.2.1.3 Security & compliance requirements
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 High initial investment & integration challenges
    • 5.2.2.2 Lack of skilled workforce
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Integration of AI and ML in network automation to drive autonomous networks
    • 5.2.3.2 5G & edge computing expansion
    • 5.2.3.3 Cloud-native & multi-vendor interoperability
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Security risks of automated networks
    • 5.2.4.2 Vendor lock-in & interoperability issues
• 5.3 INDUSTRY TRENDS
  • 5.3.1 HISTORY OF NETWORK AUTOMATION MARKET
    • 5.3.1.1 1990-2000
    • 5.3.1.2 2000-2010
    • 5.3.1.3 2010-2020
    • 5.3.1.4 2021-present
• 5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.5 SUPPLY CHAIN ANALYSIS
  • 5.5.1 TECHNOLOGY & INFRASTRUCTURE PROVIDERS
  • 5.5.2 SOFTWARE & PLATFORM PROVIDERS
  • 5.5.3 INTEGRATION & SERVICE PROVIDERS
  • 5.5.4 END USERS
• 5.6 ECOSYSTEM ANALYSIS
• 5.7 PRICING ANALYSIS
  • 5.7.1 AVERAGE SELLING PRICE OF NETWORK AUTOMATION OFFERING, BY KEY PLAYER, 2024
  • 5.7.2 INDICATIVE PRICING ANALYSIS, BY NETWORK SOFTWARE, 2024
• 5.8 TECHNOLOGY ANALYSIS
  • 5.8.1 KEY TECHNOLOGIES
    • 5.8.1.1 Software-defined Networking (SDN)
    • 5.8.1.2 Network Function Virtualization (NFV)
    • 5.8.1.3 Intent-based Networking (IBN)
    • 5.8.1.4 Machine Learning (ML) & Artificial Intelligence (AI)
  • 5.8.2 ADJACENT TECHNOLOGIES
    • 5.8.2.1 Cloud computing
    • 5.8.2.2 5G
    • 5.8.2.3 Network monitoring & observability
  • 5.8.3 COMPLEMENTARY TECHNOLOGIES
    • 5.8.3.1 Digital twin
    • 5.8.3.2 Robotic Process Automation (RPA)
• 5.9 PATENT ANALYSIS
  • 5.9.1 METHODOLOGY
• 5.10 PORTER'S FIVE FORCES MODEL ANALYSIS
  • 5.10.1 THREAT OF NEW ENTRANTS
  • 5.10.2 THREAT OF SUBSTITUTES
  • 5.10.3 BARGAINING POWER OF SUPPLIERS
  • 5.10.4 BARGAINING POWER OF BUYERS
  • 5.10.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 LEADING FINANCIAL FIRM AUTOMATES APPLICATION SERVICES WITH CISCO ACI AND AVI NETWORKS
  • 5.11.2 HARRY REID INTERNATIONAL AIRPORT ACHIEVES SEAMLESS CONNECTIVITY AND OPERATIONAL INSIGHTS WITH HPE ARUBA NETWORKING
  • 5.11.3 VODAFONE GROUP CREATES NIMBLE SERVICE INNOVATION PLATFORM WITH VMWARE NFV
  • 5.11.4 IBM CIO ORGANIZATION OPTIMIZES MULTI-TENANT ENVIRONMENT WITH TURBONOMIC AUTOMATION
  • 5.11.5 ARCELIK MODERNIZES MANUFACTURING WITH A HIGH-PERFORMANCE NOKIA PRIVATE 5G NETWORK
  • 5.11.6 FINANCIAL SERVICES COMPANY ACHIEVES CLOUD TRANSFORMATION WITH ARISTA'S CONVERGED CLOUD FABRIC
• 5.12 REGULATORY LANDSCAPE
  • 5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.12.2 KEY REGULATIONS
    • 5.12.2.1 North America
      • 5.12.2.1.1 US
      • 5.12.2.1.2 Canada
    • 5.12.2.2 Europe
    • 5.12.2.3 Asia Pacific
      • 5.12.2.3.1 South Korea
      • 5.12.2.3.2 China
      • 5.12.2.3.3 India
    • 5.12.2.4 Middle East & Africa
      • 5.12.2.4.1 UAE
      • 5.12.2.4.2 KSA
    • 5.12.2.5 Latin America
      • 5.12.2.5.1 Brazil
      • 5.12.2.5.2 Mexico
• 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.13.2 BUYING CRITERIA
• 5.14 KEY CONFERENCES & EVENTS, 2025-2026
• 5.15 TECHNOLOGY ROADMAP FOR NETWORK AUTOMATION MARKET
  • 5.15.1 SHORT-TERM ROADMAP (2025-2026)
  • 5.15.2 MID-TERM ROADMAP (2027-2028)
  • 5.15.3 LONG-TERM ROADMAP (2029-2030)
• 5.16 BEST PRACTICES IN NETWORK AUTOMATION MARKET
• 5.17 CURRENT AND EMERGING BUSINESS MODELS
• 5.18 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN NETWORK AUTOMATION
• 5.19 INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND GENERATIVE AI
  • 5.19.1 IMPACT OF GENERATIVE AI ON NETWORK AUTOMATION MARKET
  • 5.19.2 USE CASES OF GENERATIVE AI IN NETWORK AUTOMATION MARKET
• 5.20 INVESTMENT AND FUNDING SCENARIO
• 5.21 IMPACT OF 2025 US TARIFF - NETWORK AUTOMATION MARKET
  • 5.21.1 INTRODUCTION
  • 5.21.2 KEY TARIFF RATES
• 5.22 PRICE IMPACT ANALYSIS
  • 5.22.1 IMPACT ON COUNTRY/REGION
    • 5.22.1.1 US
    • 5.22.1.2 Europe
    • 5.22.1.3 Asia Pacific
  • 5.22.2 IMPACT ON NETWORK AUTOMATION END USERS

6 NETWORK AUTOMATION MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: MARKET DRIVERS
• 6.2 SOFTWARE
  • 6.2.1 POWERING INTELLIGENT AND AUTOMATED NETWORK OPERATIONS
• 6.3 SERVICES
  • 6.3.1 ENABLING EFFECTIVE DEPLOYMENT AND CONTINUOUS OPTIMIZATION DRIVING MARKET GROWTH
  • 6.3.2 PROFESSIONAL SERVICES
    • 6.3.2.1 Seamless adoption of network automation to drive market growth
    • 6.3.2.2 Advisory & consulting
    • 6.3.2.3 Deployment & integration
    • 6.3.2.4 Training & support
  • 6.3.3 MANAGED SERVICES
    • 6.3.3.1 Ensuring continuous optimization and reliable operations

7 NETWORK AUTOMATION MARKET, BY NETWORK AUTOMATION TYPE

• 7.1 INTRODUCTION
  • 7.1.1 NETWORK AUTOMATION TYPE: MARKET DRIVERS
• 7.2 ORCHESTRATION AUTOMATION
  • 7.2.1 STREAMLINING COMPLEX WORKFLOWS AND ENSURING SEAMLESS INTEGRATION ACROSS MULTI-VENDOR, HYBRID NETWORKS
• 7.3 PROVISIONING AUTOMATION
  • 7.3.1 ACCELERATING DEVICE CONFIGURATION AND SERVICE DEPLOYMENT WHILE REDUCING ERRORS AND MANUAL EFFORT
• 7.4 SCRIPT-DRIVEN NETWORK AUTOMATION
  • 7.4.1 ENABLING TASK-SPECIFIC CUSTOMIZATION THROUGH CODE-BASED AUTOMATION FOR GREATER FLEXIBILITY AND CONTROL
• 7.5 INTELLIGENT NETWORK AUTOMATION
  • 7.5.1 LEVERAGING AI, ML, AND ANALYTICS TO PREDICT ISSUES, OPTIMIZE RESOURCES, AND ENHANCE EFFICIENCY
• 7.6 INTENT-BASED NETWORK AUTOMATION
  • 7.6.1 TRANSLATING BUSINESS OBJECTIVES INTO AUTOMATED POLICIES TO DELIVER ADAPTIVE AND COMPLIANT NETWORKS
• 7.7 NETWORK SECURITY AUTOMATION
  • 7.7.1 AUTOMATING THREAT DETECTION, INCIDENT RESPONSE, AND COMPLIANCE ENFORCEMENT TO STRENGTHEN CYBER RESILIENCE
• 7.8 OTHER NETWORK AUTOMATION TYPES

8 NETWORK AUTOMATION MARKET, BY NETWORK TYPE

• 8.1 INTRODUCTION
  • 8.1.1 NETWORK TYPE: MARKET DRIVERS
• 8.2 DATA CENTER NETWORKS
  • 8.2.1 AUTOMATING CORE INFRASTRUCTURE FOR EFFICIENCY AND SCALE
• 8.3 CLOUD NETWORKS
  • 8.3.1 ENABLING AGILITY AND ORCHESTRATION ACROSS HYBRID ENVIRONMENTS
• 8.4 WIRELESS NETWORKS
  • 8.4.1 OPTIMIZING CONNECTIVITY IN HIGH-DENSITY, MOBILE ECOSYSTEMS
• 8.5 SOFTWARE-DEFINED WIDE AREA NETWORKS (SD-WAN)
  • 8.5.1 SIMPLIFYING WAN MANAGEMENT WITH CENTRALIZED AUTOMATION
• 8.6 OTHER NETWORK TYPES

9 NETWORK AUTOMATION MARKET, BY END USER

• 9.1 INTRODUCTION
  • 9.1.1 END USER: MARKET DRIVERS
• 9.2 SERVICE PROVIDERS
  • 9.2.1 POWERING SCALABLE, RESILIENT, AND ON-DEMAND CONNECTIVITY
• 9.3 ENTERPRISES
  • 9.3.1 DRIVING DIGITAL TRANSFORMATION WITH INTELLIGENT NETWORK AUTOMATION
  • 9.3.2 BFSI
  • 9.3.3 HEALTHCARE
  • 9.3.4 RETAIL & E-COMMERCE
  • 9.3.5 MANUFACTURING
  • 9.3.6 GOVERNMENT & DEFENSE
  • 9.3.7 ENERGY & UTILITIES
  • 9.3.8 OTHER ENTERPRISES

10 NETWORK AUTOMATION MARKET, BY REGION

• 10.1 INTRODUCTION
• 10.2 NORTH AMERICA
  • 10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 10.2.2 US
    • 10.2.2.1 Presence of major players and their development strategies to drive market growth
  • 10.2.3 CANADA
    • 10.2.3.1 Technological advancements and digital readiness to boost market growth
• 10.3 EUROPE
  • 10.3.1 EUROPE: MACROECONOMIC OUTLOOK
  • 10.3.2 UNITED KINGDOM
    • 10.3.2.1 Increased adoption of innovative digital technologies to boost market growth
  • 10.3.3 GERMANY
    • 10.3.3.1 Focus on industrial strength with network automation to drive market
  • 10.3.4 FRANCE
    • 10.3.4.1 Accelerating digital transformation through network automation
  • 10.3.5 ITALY
    • 10.3.5.1 Accelerating network automation for Italy's digital future to drive market
  • 10.3.6 REST OF EUROPE
• 10.4 ASIA PACIFIC
  • 10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 10.4.2 CHINA
    • 10.4.2.1 Driving scale with 5G and digital infrastructure
  • 10.4.3 JAPAN
    • 10.4.3.1 Pioneering advanced automation in 5G-ready economy
  • 10.4.4 INDIA
    • 10.4.4.1 Unlocking network efficiency through automation and smart connectivity
  • 10.4.5 REST OF ASIA PACIFIC
• 10.5 MIDDLE EAST & AFRICA
  • 10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 10.5.2 UAE
    • 10.5.2.1 Driving network automation through 5G, cloud expansion, and smart nation initiatives
  • 10.5.3 KSA
    • 10.5.3.1 Accelerating network automation with Vision 2030
  • 10.5.4 SOUTH AFRICA
    • 10.5.4.1 Driving digital transformation and growth in South Africa's network automation market
  • 10.5.5 REST OF MIDDLE EAST & AFRICA
• 10.6 LATIN AMERICA
  • 10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 10.6.2 BRAZIL
    • 10.6.2.1 Early adoption of smart city technologies to boost market
  • 10.6.3 MEXICO
    • 10.6.3.1 Need for smart urban areas to drive market growth
  • 10.6.4 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

• 11.1 INTRODUCTION
• 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
  • 11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY NETWORK AUTOMATION PLAYERS
• 11.3 REVENUE ANALYSIS, 2020-2024
• 11.4 MARKET SHARE ANALYSIS, 2024
• 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 11.5.1 STARS
  • 11.5.2 EMERGING LEADERS
  • 11.5.3 PERVASIVE PLAYERS
  • 11.5.4 PARTICIPANTS
  • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 11.5.5.1 Company footprint
    • 11.5.5.2 Region footprint
    • 11.5.5.3 Offering footprint
    • 11.5.5.4 Network type footprint
• 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 11.6.1 PROGRESSIVE COMPANIES
  • 11.6.2 RESPONSIVE COMPANIES
  • 11.6.3 DYNAMIC COMPANIES
  • 11.6.4 STARTING BLOCKS
  • 11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 11.6.5.1 Detailed list of key startups/SMEs
    • 11.6.5.2 Competitive benchmarking of key startups/SMEs
• 11.7 BRAND/PRODUCT COMPARISON
• 11.8 COMPANY VALUATION AND FINANCIAL METRICS
• 11.9 COMPETITIVE SCENARIO
  • 11.9.1 PRODUCT LAUNCHES
  • 11.9.2 DEALS

12 COMPANY PROFILES

• 12.1 KEY PLAYERS
  • 12.1.1 CISCO
    • 12.1.1.1 Business overview
    • 12.1.1.2 Products/Solutions/Services offered
    • 12.1.1.3 Recent developments
      • 12.1.1.3.1 Product launches
      • 12.1.1.3.2 Deals
    • 12.1.1.4 MnM view
      • 12.1.1.4.1 Key strengths/Right to win
      • 12.1.1.4.2 Strategic choices
      • 12.1.1.4.3 Weaknesses and competitive threats
  • 12.1.2 HPE
    • 12.1.2.1 Business overview
    • 12.1.2.2 Products/Solutions/Services offered
    • 12.1.2.3 Recent developments
      • 12.1.2.3.1 Product launches
      • 12.1.2.3.2 Deals
    • 12.1.2.4 MnM view
      • 12.1.2.4.1 Key strengths/Right to win
      • 12.1.2.4.2 Strategic choices
      • 12.1.2.4.3 Weaknesses and competitive threats
  • 12.1.3 IBM
    • 12.1.3.1 Business overview
    • 12.1.3.2 Products/Solutions/Services offered
    • 12.1.3.3 Recent developments
      • 12.1.3.3.1 Product Launches
      • 12.1.3.3.2 Deals
    • 12.1.3.4 MnM view
      • 12.1.3.4.1 Key strengths/Right to win
      • 12.1.3.4.2 Strategic choices
      • 12.1.3.4.3 Weaknesses and competitive threats
  • 12.1.4 HUAWEI
    • 12.1.4.1 Business overview
    • 12.1.4.2 Products/Solutions/Services offered
    • 12.1.4.3 Recent developments
      • 12.1.4.3.1 Product launches
      • 12.1.4.3.2 Deals
    • 12.1.4.4 MnM view
      • 12.1.4.4.1 Key strengths/Right to win
      • 12.1.4.4.2 Strategic choices
      • 12.1.4.4.3 Weaknesses and competitive threats
  • 12.1.5 VMWARE
    • 12.1.5.1 Business overview
    • 12.1.5.2 Products/Solutions/Services offered
    • 12.1.5.3 Recent developments
      • 12.1.5.3.1 Deals
    • 12.1.5.4 MnM view
      • 12.1.5.4.1 Key strengths/Right to win
      • 12.1.5.4.2 Strategic choices
      • 12.1.5.4.3 Weaknesses and competitive threats
  • 12.1.6 ARISTA NETWORKS
    • 12.1.6.1 Business overview
    • 12.1.6.2 Products/Solutions/Services offered
    • 12.1.6.3 Recent developments
      • 12.1.6.3.1 Product launches
      • 12.1.6.3.2 Deals
  • 12.1.7 ERICSSON
    • 12.1.7.1 Business overview
    • 12.1.7.2 Products/Solutions/Services offered
    • 12.1.7.3 Recent developments
      • 12.1.7.3.1 Deals
  • 12.1.8 EXTREME NETWORKS
    • 12.1.8.1 Business overview
    • 12.1.8.2 Products/Solutions/Services offered
    • 12.1.8.3 Recent developments
      • 12.1.8.3.1 Product launches
      • 12.1.8.3.2 Deals
  • 12.1.9 NOKIA
    • 12.1.9.1 Business overview
    • 12.1.9.2 Products/Solutions/Services offered
    • 12.1.9.3 Recent developments
      • 12.1.9.3.1 Product Launches
      • 12.1.9.3.2 Deals
  • 12.1.10 FUJITSU
    • 12.1.10.1 Business overview
    • 12.1.10.2 Products/Solutions/Services offered
    • 12.1.10.3 Recent developments
      • 12.1.10.3.1 Deals
• 12.2 OTHER PLAYERS
  • 12.2.1 NETBRAIN TECHNOLOGIES
  • 12.2.2 GLUWARE
  • 12.2.3 SOLARWINDS
  • 12.2.4 RIVERBED
  • 12.2.5 FORWARD NETWORKS
  • 12.2.6 PALO ALTO NETWORKS
• 12.3 STARTUPS/SMES
  • 12.3.1 AVIZ NETWORKS
  • 12.3.2 ITENTIAL
  • 12.3.3 BACKBOX
  • 12.3.4 NETYCE
  • 12.3.5 KENTIK
  • 12.3.6 ANUTA NETWORKS
  • 12.3.7 VERSA NETWORKS
  • 12.3.8 INFOBLOX
  • 12.3.9 AUVIK NETWORKS
  • 12.3.10 ARRCUS
  • 12.3.11 BLUECAT
  • 12.3.12 STARDUST SYSTEMS

13 ADJACENT MARKETS & APPENDIX

• 13.1 INTRODUCTION
• 13.2 NETWORK AS A SERVICE MARKET - GLOBAL FORECAST TO 2027
  • 13.2.1 MARKET DEFINITION
• 13.3 NETWORK MANAGEMENT SYSTEM MARKET - GLOBAL FORECAST TO 2027
  • 13.3.1 MARKET DEFINITION

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS