Software Defined Networking Sdn Orchestration Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032

  • Report ID: ME_00131839
  • Format: Electronic (PDF)
  • Publish Type: Publish
  • Number of Pages: 250
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Market Snapshot

CAGR:5.72
2023
2032

Source: Market Expertz

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Study Period 2019-2032
Base Year 2023
Forcast Year 2023-2032
CAGR 5.72
Information & Technology-companies
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Report Overview

Software-Defined Networking (SDN) Orchestration Market Analysis Report 2023-2032:

The Software-Defined Networking (SDN) Orchestration Market is poised for substantial growth, with an anticipated CAGR of 6.78% between 2022 and 2032. This market is expected to expand by USD 8,674.12 million, driven by factors such as the rising adoption of cloud computing, the proliferation of IoT devices, and the need for efficient network management solutions. SDN orchestration refers to the centralized control and automation of network resources and services through software-defined networking technology. It plays a crucial role in streamlining network operations, optimizing resource allocation, and enhancing network flexibility and scalability.

Software-Defined Networking (SDN) Orchestration Market Overview:

Drivers:

A key catalyst propelling the growth of the SDN orchestration market is the increasing adoption of cloud computing. Cloud services demand agile and scalable networks to support dynamic workloads and applications. SDN orchestration provides the necessary framework to dynamically allocate resources, ensuring optimal performance and resource utilization across cloud environments. This trend is especially crucial as businesses of all sizes embrace cloud services for their operational needs.

Furthermore, the surge in the number of Internet of Things (IoT) devices necessitates efficient network management. SDN orchestration enables the seamless integration and management of a large number of IoT devices, ensuring efficient communication and data exchange. This is particularly relevant in smart cities, industrial automation, and healthcare sectors where IoT devices play a vital role.

Trends:

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into SDN orchestration is a notable trend driving market growth. AI-powered orchestration enhances network intelligence, allowing automated decision-making, proactive issue resolution, and predictive analysis. AI-driven SDN orchestration optimizes network performance, adapts to changing conditions, and enhances security by identifying and mitigating potential threats.

Additionally, the increasing focus on edge computing and distributed architectures is influencing the demand for SDN orchestration. Edge computing requires efficient management of decentralized network resources, and SDN orchestration provides the framework to achieve this while maintaining centralized control and coordination.

Restraints:

Challenges in interoperability and complexity of legacy systems hinder the growth of the SDN orchestration market. Integrating SDN orchestration into existing network infrastructures can be complex and requires careful planning to ensure compatibility. Legacy systems may not fully support the required protocols and standards, leading to compatibility issues that could impact the seamless implementation of SDN orchestration.

Moreover, cybersecurity concerns pose a restraint. As networks become more software-defined and centralized, they can also become more vulnerable to cyber threats. Ensuring robust security measures and protocols becomes essential to prevent potential breaches and attacks.

Software-Defined Networking (SDN) Orchestration Market Segmentation By Application: The data center and cloud management segment is poised for substantial growth during the forecast period. SDN orchestration plays a pivotal role in optimizing data center operations by automating resource allocation, network provisioning, and workload management. With the surge in demand for cloud services and the increasing complexity of data center operations, SDN orchestration becomes a critical solution for efficient and agile resource management.

Software-Defined Networking (SDN) Orchestration Market Segmentation By Type: The demand for network function virtualization (NFV) orchestration is on the rise. NFV orchestration leverages the principles of SDN to virtualize network functions, enabling dynamic deployment, scaling, and management of network services. This approach enhances network flexibility, reduces hardware dependency, and accelerates the rollout of new services.

Regional Overview:


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North America is projected to contribute significantly to the global SDN orchestration market, accounting for 38% of its growth during the forecast period. The region is characterized by a strong presence of tech giants, data centers, and cloud service providers. These entities are actively adopting SDN orchestration to optimize their network resources, enhance agility, and improve service delivery. Moreover, the increasing adoption of IoT technologies across industries in North America further drives the demand for efficient network management solutions like SDN orchestration.

The COVID-19 pandemic highlighted the importance of resilient and adaptable networks, further accelerating the adoption of SDN orchestration. As businesses shifted to remote work and online operations, the demand for robust and flexible networking solutions increased.

Software-Defined Networking (SDN) Orchestration Market Customer Landscape: The SDN orchestration market report encompasses the entire adoption lifecycle, from early adopters to more conservative users. It delves into adoption rates across different regions, evaluating penetration levels. Additionally, the report examines key purchase criteria and factors influencing price sensitivity, aiding companies in formulating effective growth strategies.

Major Software-Defined Networking (SDN) Orchestration Market Companies: Companies in this sector are deploying diverse strategies, including partnerships, acquisitions, geographic expansion, and product/service launches, to strengthen their market presence.

  • Cisco Systems Inc.
  • Juniper Networks Inc.
  • VMware Inc.
  • Nokia Corporation
  • Hewlett Packard Enterprise (HPE)
  • Huawei Technologies Co. Ltd.
  • Dell Technologies Inc.
  • NEC Corporation
  • Ericsson AB
  • Ciena Corporation

The competitive landscape analysis in the report offers insights into these companies, evaluating their business environments, strengths, and weaknesses.

Segment Overview:

The SDN orchestration market report provides revenue forecasts at global, regional, and country levels, along with a comprehensive analysis of trends and growth opportunities from 2019 to 2032.

  • Application Outlook (USD Million, 2019 - 2032):
    • Data Center and Cloud Management
    • Network Monitoring and Analysis
    • Network Security Management
    • Configuration and Provisioning
  • Type Outlook (USD Million, 2019 - 2032):
    • Network Function Virtualization (NFV) Orchestration
    • Service Orchestration
    • Cloud Orchestration
  • Geography Outlook (USD Million, 2019 - 2032):
    • North America
      • The U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
      • Rest of Europe
    • APAC
      • China
      • India
    • South America
      • Brazil
      • Argentina
      • Chile
    • Middle East & Africa
      • Saudi Arabia
      • South Africa

TABLE OF CONTENTS: GLOBAL SOFTWARE-DEFINED NETWORKING (SDN) ORCHESTRATION MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. SOFTWARE-DEFINED NETWORKING (SDN) ORCHESTRATION MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Software-Defined Networking (SDN) Orchestration Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

    4.5.1. Power Of Suppliers

    4.5.2. Power Of Buyers

    4.5.3. Threat Of Substitutes

    4.5.4. Threat Of New Entrants

    4.5.5. Competitive Rivalry

Chapter 5. SOFTWARE-DEFINED NETWORKING (SDN) ORCHESTRATION MARKET BY Component Type INSIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2. Solutions

    5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3. Services

    5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. SOFTWARE-DEFINED NETWORKING (SDN) ORCHESTRATION MARKET BY Organization Size Type INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2. Large Enterprises

    6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3. Small and Medium-Sized Enterprises

    6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. SOFTWARE-DEFINED NETWORKING (SDN) ORCHESTRATION MARKET REGIONAL OUTLOOK

7.1. Software-Defined Networking (SDN) Orchestration Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

    7.2.1. North America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.2. North America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.3. North America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.4. North America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

    7.2.5.1. U.S. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.5.2. U.S. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.5.3. U.S. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.5.4. U.S. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

    7.2.6.1. Canada Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.6.2. Canada Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.6.3. Canada Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.6.4. Canada Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

    7.3.1. Europe Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.2. Europe Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.3. Europe Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.4. Europe Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

    7.3.5.1. Germany Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.5.2. Germany Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.5.3. Germany Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.5.4. Germany Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

    7.3.6.1. France Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.6.2. France Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.6.3. France Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.6.4. France Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

    7.3.7.1. U.K. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.7.2. U.K. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.7.3. U.K. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.7.4. U.K. Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

    7.4.1. Asia Pacific Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.2. Asia Pacific Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.3. Asia Pacific Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.4. Asia Pacific Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

 7.4.5. CHINA

     7.4.5.1. China Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.5.2. China Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.5.3. China Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.5.4. China Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

     7.4.6.1. India Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.6.2. India Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.6.3. India Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.6.4. India Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

     7.4.7.1. Japan Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.7.2. Japan Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.7.3. Japan Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.7.4. Japan Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

    7.4.8.1. Australia Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.8.2. Australia Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.8.3. Australia Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.8.4. Australia Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

    7.5.1. Mea Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.5.2. Mea Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.5.3. Mea Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.5.4. Mea Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

     7.6.1. Latin America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.6.2. Latin America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.6.3. Latin America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.6.4. Latin America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

    7.6.5. Latin America Software-Defined Networking (SDN) Orchestration Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

    8.2.1. New Product Launches

    8.2.2. Investment & Expansion

    8.2.3. Acquisitions

    8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

     8.3.1. North American Suppliers

     8.3.2. European Suppliers

     8.3.3. Asia-Pacific Suppliers

     8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1. Cisco Systems

    9.1.1. Company Overview

    9.1.2. Financial Performance

    9.1.3. Product Insights

    9.1.4. Strategic Initiatives

9.2. Huawei

    9.2.1. Company Overview

    9.2.2. Financial Performance

    9.2.3. Product Insights

    9.2.4. Strategic Initiatives

9.3. Netcracker

    9.3.1. Company Overview

    9.3.2. Financial Performance

    9.3.3. Product Insights

    9.3.4. Strategic Initiatives

9.4. Juniper Networks

    9.4.1. Company Overview

    9.4.2. Financial Performance

    9.4.3. Product Insights

    9.4.4. Strategic Initiatives

9.5. Ciena Corporation

    9.5.1. Company Overview

    9.5.2. Financial Performance

    9.5.3. Product Insights

    9.5.4. Strategic Initiatives

9.6. Hewlett Packard Enterprise

    9.6.1. Company Overview

    9.6.2. Financial Performance

    9.6.3. Product Insights

    9.6.4. Strategic Initiatives

9.7. Cenx

    9.7.1. Company Overview

    9.7.2. Financial Performance

    9.7.3. Product Insights

    9.7.4. Strategic Initiatives

9.8. Virtela

    9.8.1. Company Overview

    9.8.2. Financial Performance

    9.8.3. Product Insights

    9.8.4. Strategic Initiatives

9.9. Nokia and Anuta Networks

    9.9.1. Company Overview

    9.9.2. Financial Performance

    9.9.3. Product Insights

    9.9.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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