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Global Wireless Infrastructure Market to reach USD 475.66 billion by the end of 2030

Global Wireless Infrastructure Market Size study & Forecast, by Connectivity Type (5G, 4G & LTE, 3G, 2G, Satellite), by Infrastructure (Small Cells, Mobile Core, Macro-cells, Radio Access Networks, Distributed Antenna System, Cloud RAN, Carrier Wi-Fi, Backhaul, SATCOM), by Platform (Government & Defense, Commercial) and Regional Analysis, 2023-2030

Product Code: ICTICTI-86469814
Publish Date: 20-02-2024
Page: 200

Global Wireless Infrastructure Market is valued at approximately USD 202.43 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 11.27% during the forecast period 2023-2030. Wireless infrastructure is a network of interconnected components and technologies that enable wireless communication between devices. This infrastructure is the backbone supporting various wireless services, including mobile communication, internet connectivity, and other wireless applications. It encompasses a range of elements such as cell towers, base stations, antennas, routers, and supporting hardware and software. The primary purpose of wireless infrastructure is to facilitate the seamless transmission of data, voice, and multimedia content across wireless networks. The Wireless Infrastructure Market is expanding because of factors such as rising mobile data traffic, the proliferation of IoT devices, and the emergence of 5G Technology.

The proliferation of smartphones, tablets, and other mobile devices has led to a surge in mobile data usage. As users demand faster and more reliable connectivity for applications, streaming services, and content consumption, there is a need for continuous investment in wireless infrastructure to handle the increased data traffic. According to Statista, in the year 2018, Global mobile data traffic reached 19.01 exabytes per month which increased by 28.56 exabytes per month in the year 2019 and reached 77.49 exabytes per month in the year 2022. Moreover, the proliferation of IoT devices, which includes smart home devices, industrial sensors, and connected vehicles, necessitates a robust wireless infrastructure. The expansion of IoT applications contributes to increased demand for connectivity and data transmission capabilities which is resulting in market growth. As per Ericsson’s report, the global usage of Internet of Things (IoT) connected devices reached approximately 1.9 billion in 2024. It is anticipated that by 2025, the number of IoT-connected devices worldwide would l escalate to 38.6 billion. This surge in IoT device utilization is generating a substantial demand for essential components such as sensors, transmitters, receivers, and processors. Consequently, the escalating need for these foundational infrastructure systems and components is a key catalyst propelling market expansion. In addition, the rising adoption of cloud services and edge computing as well as rising government initiatives to enhance digital connectivity across various end use industries is creating new opportunities for market growth. However, the complexities associated with the development of Wireless Infrastructure systems stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Wireless Infrastructure Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022. The market is being fueled by factors such as rising adoption of Distributed Antenna System, Remote Radio Heads, Backhaul, and Radio Access Networks necessitating substantial wireless infrastructure. The escalating count of mobile internet users in Asia has further fueled the demand for robust wireless communication networks. Asia, being at the forefront of 5G technology development, witnessed pioneering efforts in countries such as South Korea, Japan, Singapore, and Taiwan, which were among the earliest to introduce 5G services. North America is projected to grow at the fastest rate in the market. The region anticipates heightened adoption of 5G due to its appealing speeds and cost-effectiveness, thereby fortifying the Wireless Infrastructure Market. Additionally, the increasing reliance on wireless infrastructure brings about advantages such as cost reduction in frequent business travel, both internationally and domestically, through innovative platforms such as Unified Communication (UC), resulting in market growth.

Major market player included in this report are:
Cisco Systems, Inc.
Ciena Corporation
Qualcomm Technologies Inc.
Huawei Technologies Co Ltd.
ZTE Corporation
Fujitsu Ltd
D-Link Corporation
NXP Semiconductors

Recent Developments in the Market:
Ø In November 2022, in a collaborative effort, Qualcomm Technologies, Inc. partnered with Siemens Smart Infrastructure, a prominent German multinational conglomerate corporation. Through this partnership, Qualcomm Technologies, Inc. stands to benefit from Siemens’s expertise in building automation, as well as its proficiency in edge and wireless computer technologies.
Ø In December 2021, ZTE Corporation formed a strategic partnership with Ooredoo Group, a multinational telecommunications company based in Doha, Qatar. Through this collaboration, Ooredoo Group gains the advantage of securing a stable and reliable supply from ZTE Corporation, ensuring the availability of advanced services and products for its customers.

Global Wireless Infrastructure Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Connectivity Type, Infrastructure, Platform, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Connectivity Type:
4G & LTE

By Infrastructure:
Small Cells
Mobile Core
Radio Access Network
Distributed Antenna System
Cloud RAN
Carrier Wi-Fi

By Platform:
Government & Defense

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Wireless Infrastructure Market, by Region, 2020-2030 (USD Billion)
1.2.2. Wireless Infrastructure Market, by Connectivity Type, 2020-2030 (USD Billion)
1.2.3. Wireless Infrastructure Market, by Infrastructure, 2020-2030 (USD Billion)
1.2.4. Wireless Infrastructure Market, by Platform, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Wireless Infrastructure Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Wireless Infrastructure Market Dynamics
3.1. Wireless Infrastructure Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising mobile data traffic Proliferation of IoT devices Emergence of 5G Technology
3.1.2. Market Challenges High Cost of Wireless Infrastructure
3.1.3. Market Opportunities Rising adoption of cloud services and edge computing Rising government initiatives to enhance digital connectivity across various end use industries
Chapter 4. Global Wireless Infrastructure Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Wireless Infrastructure Market, by Connectivity Type
5.1. Market Snapshot
5.2. Global Wireless Infrastructure Market by Connectivity Type, Performance – Potential Analysis
5.3. Global Wireless Infrastructure Market Estimates & Forecasts by Connectivity Type 2020-2030 (USD Billion)
5.4. Wireless Infrastructure Market, Sub Segment Analysis
5.4.1. 5G
5.4.2. 4G & LTE
5.4.3. 3G
5.4.4. 2G
5.4.5. Satellite
Chapter 6. Global Wireless Infrastructure Market, by Infrastructure
6.1. Market Snapshot
6.2. Global Wireless Infrastructure Market by Infrastructure, Performance – Potential Analysis
6.3. Global Wireless Infrastructure Market Estimates & Forecasts by Infrastructure 2020-2030 (USD Billion)
6.4. Wireless Infrastructure Market, Sub Segment Analysis
6.4.1. Small Cells
6.4.2. Mobile Core
6.4.3. Macro-cells
6.4.4. Radio Access Networks
6.4.5. Distributed Antenna System
6.4.6. Cloud RAN
6.4.7. Carrier Wi-Fi
6.4.8. Backhaul
6.4.9. SATCOM
Chapter 7. Global Wireless Infrastructure Market, by Platform
7.1. Market Snapshot
7.2. Global Wireless Infrastructure Market by Platform, Performance – Potential Analysis
7.3. Global Wireless Infrastructure Market Estimates & Forecasts by Platform 2020-2030 (USD Billion)
7.4. Wireless Infrastructure Market, Sub Segment Analysis
7.4.1. Government & Defense
7.4.2. Commercial
Chapter 8. Global Wireless Infrastructure Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Wireless Infrastructure Market, Regional Market Snapshot
8.4. North America Wireless Infrastructure Market
8.4.1. U.S. Wireless Infrastructure Market Connectivity Type breakdown estimates & forecasts, 2020-2030 Infrastructure breakdown estimates & forecasts, 2020-2030 Platform breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Wireless Infrastructure Market
8.5. Europe Wireless Infrastructure Market Snapshot
8.5.1. U.K. Wireless Infrastructure Market
8.5.2. Germany Wireless Infrastructure Market
8.5.3. France Wireless Infrastructure Market
8.5.4. Spain Wireless Infrastructure Market
8.5.5. Italy Wireless Infrastructure Market
8.5.6. Rest of Europe Wireless Infrastructure Market
8.6. Asia-Pacific Wireless Infrastructure Market Snapshot
8.6.1. China Wireless Infrastructure Market
8.6.2. India Wireless Infrastructure Market
8.6.3. Japan Wireless Infrastructure Market
8.6.4. Australia Wireless Infrastructure Market
8.6.5. South Korea Wireless Infrastructure Market
8.6.6. Rest of Asia Pacific Wireless Infrastructure Market
8.7. Latin America Wireless Infrastructure Market Snapshot
8.7.1. Brazil Wireless Infrastructure Market
8.7.2. Mexico Wireless Infrastructure Market
8.8. Middle East & Africa Wireless Infrastructure Market
8.8.1. Saudi Arabia Wireless Infrastructure Market
8.8.2. South Africa Wireless Infrastructure Market
8.8.3. Rest of Middle East & Africa Wireless Infrastructure Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Cisco Systems, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Ciena Corporation
9.3.3. Qualcomm Technologies Inc.
9.3.4. Huawei Technologies Co Ltd.
9.3.6. ZTE Corporation
9.3.7. Fujitsu Ltd
9.3.8. D-Link Corporation
9.3.9. Capgemini
9.3.10. NXP Semiconductors
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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