Network Slicing Market
Network Slicing Market Forecasts to 2030 - Global Analysis By Component (Standard, Step and Other Types), Application (Telecom operators, Network Function Virtualization and Other Applications), End User and By Geography
According to Stratistics MRC, the Global Network Slicing Market is accounted for $1.12 billion in 2024 and is expected to reach $11.8 billion by 2030 growing at a CAGR of 48.0% during the forecast period. Network slicing is a concept in telecommunications that allows a single physical network to be partitioned into multiple virtual networks, known as slices. Each slice is customized to meet specific requirements such as bandwidth, latency, security, and reliability, tailored for different applications or services. This technology enables efficient sharing of network resources while providing isolated and dedicated virtual networks that operate independently. Network slicing is crucial for emerging technologies like 5G, where diverse use cases—from autonomous vehicles to smart cities—require distinct network characteristics to function optimally.
According to GSMA, network slicing, in combination with other enablers and capabilities, will aid operators in addressing a revenue opportunity worth USD 300 billion by 2025. According to an ETNO-European Telecommunications Network Operators' Association survey, the number of IoT healthcare active connections was expected to increase through the years. It was at 0.87 million connections in 2016 and is expected to reach 10.34 million by 2025.
Market Dynamics:
Driver:
IoT and M2M communication
In network slicing market, Internet of Things and machine-to-machine communication play crucial roles as the drivers of demand and innovation. IoT devices, ranging from sensors to smart appliances, require specific network characteristics such as low latency, high reliability, and scalable connectivity, which network slicing can efficiently provide by creating virtual networks tailored to these needs. M2M communication, which involves automated data exchange between devices without human intervention, benefits from network slicing by ensuring dedicated resources and optimized performance for various applications like industrial automation and smart cities.
Restraint:
Resource management
A key restraint in this domain is the challenge of effectively managing and balancing the allocation of resources such as bandwidth, computing power, and network capacity among multiple slices simultaneously. This becomes increasingly complex as diverse slices with varying quality of service (QoS) requirements coexist on the same physical network infrastructure. Issues such as ensuring fair allocation, preventing resource contention, and dynamically adjusting resource allocation based on real-time demand are critical to maintaining the performance and reliability of network slices.
Opportunity:
Virtualization and cloud services
Virtualization and cloud services present significant opportunities in the network slicing market by enabling efficient and flexible deployment of network resources. Virtualization allows networks to be abstracted from physical infrastructure, facilitating the creation of multiple virtual networks (slices) on a single physical network. Cloud services complement virtualization by providing scalable computing and storage resources on-demand, which are essential for supporting dynamic network slicing requirements. Together, virtualization and cloud services empower telecommunications providers to offer customized and optimized network slices tailored to specific user needs, such as low latency for IoT applications or high bandwidth for video streaming.
Threat:
Cost and ROI uncertainty
In network slicing market, cost and ROI uncertainty pose a significant threat due to several factors. The upfront investment required for implementing network slicing infrastructure can be substantial, with costs varying based on the complexity and scale of deployment. Uncertainty arises from the difficulty in accurately predicting these initial costs and ensuring they align with expected returns. Return on investment (ROI) in network slicing is influenced by factors such as market demand, technological advancements, and regulatory changes, all of which can fluctuate over time. This volatility makes it challenging for stakeholders to forecast and achieve expected profitability within projected timelines.
Covid-19 Impact:
The COVID-19 pandemic significantly impacted the network slicing market in several ways. It accelerated the demand for robust and flexible network infrastructures to support increased remote working, e-learning, and telemedicine needs, driving investment in slicing technologies. It highlighted the importance of resilient networks capable of dynamically allocating resources based on varying demands, thereby boosting the adoption of network slicing as a key technology. Lastly, it underscored the necessity for reliable and low-latency networks to ensure seamless connectivity amid surges in online activities, further stimulating the growth of the network slicing market worldwide.
The telecom operators segment is expected to be the largest during the forecast period
Telecom operators are experiencing significant growth in the network slicing market due to several factors. Network slicing allows operators to create multiple virtual networks over a common physical infrastructure, tailored to specific customer needs. This flexibility enables operators to offer differentiated services such as enhanced mobile broadband, ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). By leveraging network slicing, operators can efficiently allocate resources, improve service quality, and meet diverse customer demands in sectors like manufacturing, healthcare, and smart cities.
The automotive segment is expected to have the highest CAGR during the forecast period
The automotive segment is experiencing significant growth in the network slicing market due to the increasing integration of advanced connectivity and autonomous technologies in vehicles. Network slicing allows automotive manufacturers and service providers to create dedicated virtual networks tailored to specific automotive applications, such as autonomous driving, vehicle-to-everything (V2X) communication, and in-car entertainment systems. As automotive networks become more complex and demand for high-bandwidth, low-latency services grows, network slicing offers a scalable solution to efficiently manage and optimize network resources, driving innovation and adoption in the automotive sector.
Region with largest share:
The North American region has experienced significant growth in the network slicing market due to several key factors. The region's advanced telecommunications infrastructure and widespread adoption of 5G technology have created fertile ground for implementing network slicing, which allows operators to customize and optimize network resources for various applications. Also, there is a strong demand for enhanced mobile broadband services, IoT connectivity, and low-latency applications such as autonomous vehicles and industrial automation, all of which benefit greatly from network slicing capabilities.
Region with highest CAGR:
The Asia-Pacific region has seen significant growth in the network slicing market due to several factors. As telecommunications infrastructure continues to expand rapidly across countries like China, India, Japan, and South Korea, there is a growing demand for efficient network management and customization. Network slicing offers operators the ability to allocate network resources dynamically based on specific application requirements, enhancing overall network efficiency and the user experience. With the advent of 5G technology, which heavily relies on network slicing to support diverse services such as IoT, autonomous vehicles, and enhanced mobile broadband, the region has witnessed increased investments and deployments in this technology.
Key players in the market
Some of the key players in Network Slicing market include Affirmed Networks Inc., Amdocs, Inc., Argela Technologies, Aria Networks Ltd, BT Group PLC, Cisco Systems Inc., Ericsson Inc., Huawei Technologies Co. Ltd, Intel Corporation, Mavenir Inc., NEC Corporation, Nokia Corporation, NTT DOCOMO Inc., Samsung, VMware, Inc. and ZTE Corporation.
Key Developments:
In June 2024, Cisco said that it would set up a cybersecurity center in Taiwan and work with the government to train more people to work in the sector. Democratically governed Taiwan, which Beijing views as its own territory, has repeatedly complained of cyberattacks coming from China, targeting government officials and departments as well.
In June 2024, Samsung Electronics unveiled the industry's first hybrid refrigerator using semiconductor elements and artificial intelligence (AI) to improve energy efficiency and performance. The new Bespoke AI Hybrid Refrigerator adopts a hybrid cooling method that combines Peltier modules, along with a traditional compressor, reports Yonhap news agency.
Components Covered:
• Services
• Solutions
• Other Components
Applications Covered:
• Telecom operators
• Network Function Virtualization
• Real-Time Surveillance
• Enterprises
• Other Applications
End Users Covered:
• Transportation and Logistics
• Healthcare
• Media and Entertainment
• Government
• Energy and Utilities
• Manufacturing
• Automotive
• Banking Finance Services and Insurance (BFSI)
• Retail
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & 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 2022, 2023, 2024, 2026, and 2030
- 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Network Slicing Market, By Component
5.1 Introduction
5.2 Services
5.2.1 Managed Services
5.2.2 Professional services
5.2.2.1 Integration and Deployment
5.2.2.2 Support and Maintenance
5.2.2.3 Network design and planning
5.2.2.4 Other Professional services
5.2.3 Other Services
5.3 Solutions
5.4 Other Components
6 Global Network Slicing Market, By Application
6.1 Introduction
6.2 Telecom operators
6.3 Network Function Virtualization
6.4 Real-Time Surveillance
6.5 Enterprises
6.6 Other Applications
7 Global Network Slicing Market, By End User
7.1 Introduction
7.2 Transportation and Logistics
7.3 Healthcare
7.4 Media and Entertainment
7.5 Government
7.6 Energy and Utilities
7.7 Manufacturing
7.8 Automotive
7.9 Banking Finance Services and Insurance (BFSI)
7.10 Retail
7.11 Other End Users
8 Global Network Slicing Market, By Geography
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 UK
8.3.3 Italy
8.3.4 France
8.3.5 Spain
8.3.6 Rest of Europe
8.4 Asia Pacific
8.4.1 Japan
8.4.2 China
8.4.3 India
8.4.4 Australia
8.4.5 New Zealand
8.4.6 South Korea
8.4.7 Rest of Asia Pacific
8.5 South America
8.5.1 Argentina
8.5.2 Brazil
8.5.3 Chile
8.5.4 Rest of South America
8.6 Middle East & Africa
8.6.1 Saudi Arabia
8.6.2 UAE
8.6.3 Qatar
8.6.4 South Africa
8.6.5 Rest of Middle East & Africa
9 Key Developments
9.1 Agreements, Partnerships, Collaborations and Joint Ventures
9.2 Acquisitions & Mergers
9.3 New Product Launch
9.4 Expansions
9.5 Other Key Strategies
10 Company Profiling
10.1 Affirmed Networks Inc.
10.2 Amdocs, Inc.
10.3 Argela Technologies
10.4 Aria Networks Ltd
10.5 BT Group PLC
10.6 Cisco Systems Inc.
10.7 Ericsson Inc.
10.8 Huawei Technologies Co. Ltd
10.9 Intel Corporation
10.10 Mavenir Inc.
10.11 NEC Corporation
10.12 Nokia Corporation
10.13 NTT DOCOMO Inc.
10.14 Samsung
10.15 VMware, Inc.
10.16 ZTE Corporation
List of Tables
1 Global Network Slicing Market Outlook, By Region (2022-2030) ($MN)
2 Global Network Slicing Market Outlook, By Component (2022-2030) ($MN)
3 Global Network Slicing Market Outlook, By Services (2022-2030) ($MN)
4 Global Network Slicing Market Outlook, By Managed Services (2022-2030) ($MN)
5 Global Network Slicing Market Outlook, By Professional services (2022-2030) ($MN)
6 Global Network Slicing Market Outlook, By Integration and Deployment (2022-2030) ($MN)
7 Global Network Slicing Market Outlook, By Support and Maintenance (2022-2030) ($MN)
8 Global Network Slicing Market Outlook, By Network design and planning (2022-2030) ($MN)
9 Global Network Slicing Market Outlook, By Other Professional services (2022-2030) ($MN)
10 Global Network Slicing Market Outlook, By Other Services (2022-2030) ($MN)
11 Global Network Slicing Market Outlook, By Solutions (2022-2030) ($MN)
12 Global Network Slicing Market Outlook, By Other Components (2022-2030) ($MN)
13 Global Network Slicing Market Outlook, By Application (2022-2030) ($MN)
14 Global Network Slicing Market Outlook, By Telecom operators (2022-2030) ($MN)
15 Global Network Slicing Market Outlook, By Network Function Virtualization (2022-2030) ($MN)
16 Global Network Slicing Market Outlook, By Real-Time Surveillance (2022-2030) ($MN)
17 Global Network Slicing Market Outlook, By Enterprises (2022-2030) ($MN)
18 Global Network Slicing Market Outlook, By Other Applications (2022-2030) ($MN)
19 Global Network Slicing Market Outlook, By End User (2022-2030) ($MN)
20 Global Network Slicing Market Outlook, By Transportation and Logistics (2022-2030) ($MN)
21 Global Network Slicing Market Outlook, By Healthcare (2022-2030) ($MN)
22 Global Network Slicing Market Outlook, By Media and Entertainment (2022-2030) ($MN)
23 Global Network Slicing Market Outlook, By Government (2022-2030) ($MN)
24 Global Network Slicing Market Outlook, By Energy and Utilities (2022-2030) ($MN)
25 Global Network Slicing Market Outlook, By Manufacturing (2022-2030) ($MN)
26 Global Network Slicing Market Outlook, By Automotive (2022-2030) ($MN)
27 Global Network Slicing Market Outlook, By Banking Finance Services and Insurance (BFSI) (2022-2030) ($MN)
28 Global Network Slicing Market Outlook, By Retail (2022-2030) ($MN)
29 Global Network Slicing Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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