| Product Code: ETC4420046 | Publication Date: Jul 2023 | Updated Date: Sep 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
Software-Defined Networking (SDN) is gaining traction in Thailand as a way to improve network agility and management. SDN separates the control plane from the data plane, allowing for more flexible network configurations.
The Software-Defined Networking (SDN) market in Thailand is witnessing notable growth, driven by the quest for more agile, scalable, and programmable network architectures. Organizations are embracing SDN to enhance network flexibility, reduce operational complexities, and improve overall network management. The market expansion is fueled by the increasing adoption of cloud services, the need for dynamic network provisioning, and the imperative to support emerging technologies such as IoT and 5G with a more adaptive and responsive networking infrastructure.
The Thailand Software-Defined Networking (SDN) market faces several challenges as it navigates the dynamic landscape of network technologies. One significant hurdle is the resistance to change among traditional network operators who may be hesitant to adopt SDN due to concerns about disruptions, security, and the initial investment required for the transition. Additionally, the lack of standardized protocols and interoperability issues between different SDN solutions pose challenges for seamless integration into existing network infrastructures. As organizations strive to enhance network flexibility and efficiency through SDN, they must address these challenges to ensure a smooth and successful transition.
The Thailand Software-Defined Networking (SDN) Market has undergone significant changes influenced by the COVID-19 pandemic, transforming how organizations manage and optimize their network infrastructure through software-defined architectures. With changes in network requirements and an increased demand for flexibility and automation, businesses in Thailand are adopting SDN solutions for centralized control, programmability, and dynamic network management. The pandemic has accelerated the adoption of technology-driven SDN platforms, emphasizing the importance of agility and efficiency in network operations. As organizations in Thailand prioritize adaptive and responsive network infrastructures, the Software-Defined Networking market becomes crucial in providing innovative and adaptive solutions for software-defined network management in the post-pandemic landscape.
Driving the transformation of network architectures in Thailand are key players such as VMware and Cisco in the software-defined networking (SDN) market. VMware provides SDN solutions, enabling organizations to virtualize and automate network functions. Cisco offers comprehensive SDN technologies, optimizing network agility and scalability. These companies play a pivotal role in reshaping how networks are designed and managed in Thailand.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand Software-Defined Networking Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Software-Defined Networking Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Software-Defined Networking Market - Industry Life Cycle |
3.4 Thailand Software-Defined Networking Market - Porter's Five Forces |
3.5 Thailand Software-Defined Networking Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.6 Thailand Software-Defined Networking Market Revenues & Volume Share, By Professional Services, 2021 & 2031F |
3.7 Thailand Software-Defined Networking Market Revenues & Volume Share, By SDN Type , 2021 & 2031F |
3.8 Thailand Software-Defined Networking Market Revenues & Volume Share, By End User, 2021 & 2031F |
3.9 Thailand Software-Defined Networking Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.10 Thailand Software-Defined Networking Market Revenues & Volume Share, By Type, 2021 & 2031F |
4 Thailand Software-Defined Networking Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for network virtualization and cloud services in Thailand |
4.2.2 Growing adoption of IoT devices and applications requiring efficient network management |
4.2.3 Government initiatives to promote digital transformation and smart city projects |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in software-defined networking technologies |
4.3.2 Concerns regarding data security and privacy in software-defined networking environments |
4.3.3 High initial investment costs for implementing software-defined networking solutions |
5 Thailand Software-Defined Networking Market Trends |
6 Thailand Software-Defined Networking Market, By Types |
6.1 Thailand Software-Defined Networking Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Thailand Software-Defined Networking Market Revenues & Volume, By Component , 2021-2031F |
6.1.3 Thailand Software-Defined Networking Market Revenues & Volume, By SDN Infrastructure, 2021-2031F |
6.1.4 Thailand Software-Defined Networking Market Revenues & Volume, By Software, 2021-2031F |
6.1.5 Thailand Software-Defined Networking Market Revenues & Volume, By Services, 2021-2031F |
6.2 Thailand Software-Defined Networking Market, By Professional Services |
6.2.1 Overview and Analysis |
6.2.2 Thailand Software-Defined Networking Market Revenues & Volume, By Support Services, 2021-2031F |
6.2.3 Thailand Software-Defined Networking Market Revenues & Volume, By Implementation Services, 2021-2031F |
6.2.4 Thailand Software-Defined Networking Market Revenues & Volume, By Consulting Services, 2021-2031F |
6.3 Thailand Software-Defined Networking Market, By SDN Type |
6.3.1 Overview and Analysis |
6.3.2 Thailand Software-Defined Networking Market Revenues & Volume, By Open SDN, 2021-2031F |
6.3.3 Thailand Software-Defined Networking Market Revenues & Volume, By SDN via Overlay, 2021-2031F |
6.3.4 Thailand Software-Defined Networking Market Revenues & Volume, By SDN via API, 2021-2031F |
6.4 Thailand Software-Defined Networking Market, By End User |
6.4.1 Overview and Analysis |
6.4.2 Thailand Software-Defined Networking Market Revenues & Volume, By Service Providers, 2021-2031F |
6.4.3 Thailand Software-Defined Networking Market Revenues & Volume, By Enterprises, 2021-2031F |
6.5 Thailand Software-Defined Networking Market, By Vertical |
6.5.1 Overview and Analysis |
6.5.2 Thailand Software-Defined Networking Market Revenues & Volume, By BFSI, 2021-2031F |
6.5.3 Thailand Software-Defined Networking Market Revenues & Volume, By ITeS, 2021-2031F |
6.5.4 Thailand Software-Defined Networking Market Revenues & Volume, By Education, 2021-2031F |
6.5.5 Thailand Software-Defined Networking Market Revenues & Volume, By Retail, 2021-2031F |
6.5.6 Thailand Software-Defined Networking Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.5.7 Thailand Software-Defined Networking Market Revenues & Volume, By Government and Defense, 2021-2031F |
6.5.8 Thailand Software-Defined Networking Market Revenues & Volume, By Others, 2021-2031F |
6.5.9 Thailand Software-Defined Networking Market Revenues & Volume, By Others, 2021-2031F |
6.6 Thailand Software-Defined Networking Market, By Type |
6.6.1 Overview and Analysis |
6.6.2 Thailand Software-Defined Networking Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.6.3 Thailand Software-Defined Networking Market Revenues & Volume, By SMEs, 2021-2031F |
7 Thailand Software-Defined Networking Market Import-Export Trade Statistics |
7.1 Thailand Software-Defined Networking Market Export to Major Countries |
7.2 Thailand Software-Defined Networking Market Imports from Major Countries |
8 Thailand Software-Defined Networking Market Key Performance Indicators |
8.1 Percentage increase in the number of businesses adopting software-defined networking in Thailand |
8.2 Average time taken to deploy software-defined networking solutions in organizations |
8.3 Rate of growth in the number of certified professionals in software-defined networking technologies |
8.4 Level of customer satisfaction with software-defined networking solutions deployed |
9 Thailand Software-Defined Networking Market - Opportunity Assessment |
9.1 Thailand Software-Defined Networking Market Opportunity Assessment, By Component , 2021 & 2031F |
9.2 Thailand Software-Defined Networking Market Opportunity Assessment, By Professional Services, 2021 & 2031F |
9.3 Thailand Software-Defined Networking Market Opportunity Assessment, By SDN Type , 2021 & 2031F |
9.4 Thailand Software-Defined Networking Market Opportunity Assessment, By End User, 2021 & 2031F |
9.5 Thailand Software-Defined Networking Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.6 Thailand Software-Defined Networking Market Opportunity Assessment, By Type, 2021 & 2031F |
10 Thailand Software-Defined Networking Market - Competitive Landscape |
10.1 Thailand Software-Defined Networking Market Revenue Share, By Companies, 2024 |
10.2 Thailand Software-Defined Networking Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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