封面
市場調查報告書
商品編碼
1604125

大樓內無線

In-Building Wireless

出版日期: | 出版商: ABI Research | 英文 12 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告提供大樓內無線的市場調查,提供各種產業的大樓內無線解決方案的需求趨勢,收益的轉變·預測,主要企業生態系統,私人5G和DAS解決方案的比較分析,影響市場的各種趨勢的分析等資訊。

實用的優點:

  • 了解專用 5G 和 DAS 解決方案的主要差異和優勢
  • 確定推動企業領域採用私有 5G 和 DAS 解決方案的關鍵產業和用例
  • 探索塑造室內無線市場的未來趨勢,例如人工智慧/機器學習 (ML) 和開放 RAN

重要問題的答案:

  • 未來幾年將推動室內無線解決方案需求的關鍵產業有哪些?
  • 不同產業(醫療保健、製造、零售等)的連線需求如何影響室內無線解決方案的專用 5G 和 DAS 選擇?
  • 未來幾年預計將塑造室內無線市場的主要趨勢是什麼?

研究亮點:

  • 專用 5G 與主動 DAS 收入預測:2023-2029 年
  • 專用 5G 與 Active DAS 製造/產業收入預測:2023-2029 年
  • 室內無線連線優勢的詳細比較:DAS/專用 5G
  • 影響室內無線市場的未來趨勢,包括 AI/ML、開放 RAN、中立主機和網路切片

目錄

第1章 主要調查結果

第2章 主要預測

第3章 主要企業生態系統

  • NOKIA
  • ERICSSON
  • COMBA TELECOM
  • AMPHENOL CORPORATION
  • PBE AXELL
  • INSPUR GROUP

第4章 製造業的DAS和私人5G

  • 製造私人5G vs DAS

第5章 未來趨勢

  • 與AI機器學習
  • 網路切片
  • 中立主機
  • 開放式RAN
簡介目錄
Product Code: AN-6286

Actionable Benefits:

  • Understand the key differences and benefits of private 5G versus Distributed Antenna System (DAS) solutions.
  • Identify the key industries and use cases that will drive the adoption of private 5G versus DAS solutions in the enterprise sector.
  • Explore the future trends that will shape the in-building wireless market, including Artificial Intelligence (AI)/Machine Learning (ML) and Open Radio Access Network (RAN).

Critical Questions Answered:

  • Which verticals will be the primary drivers of demand for in-building wireless solutions in the coming years?
  • How do the connectivity needs of different industries (e.g., healthcare, manufacturing, retail) influence the choice between private 5G and DAS for in-building wireless solutions?
  • What key trends are expected to shape the in-building wireless market in the coming years?

Research Highlights:

  • Private 5G versus active DAS revenue forecasts from 2023 to 2029.
  • Manufacturing/industrial revenue forecasts for private 5G versus active DAS from 2023 to 2029.
  • A detailed comparison of the benefits of adopting DAS versus private 5G for in-building wireless connectivity.
  • Future trends that will impact the in-building wireless market, including AI/ML, Open RAN, neutral hosts, and network slicing.

Who Should Read This?

  • Mobile Network Operators (MNOs) and Communication Service Providers (CSPs) seeking to understand the evolving demand for in-building wireless solutions in order to tailor their service offerings and develop targeted business models for enterprise customers.
  • System Integrators (SIs) and hyperscalers who want to understand which verticals to prioritize for developing an enterprise connectivity strategy.
  • Infrastructure vendors looking for an in-depth assessment of the in-building wireless market to refine their product offerings, ensure compatibility with emerging technologies, and effectively position their solutions for enterprise adoption.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS

  • 3.1 NOKIA
  • 3.2 ERICSSON
  • 3.3 COMBA TELECOM
  • 3.4 AMPHENOL CORPORATION
  • 3.5 PBE AXELL
  • 3.6 INSPUR GROUP

4 DAS AND PRIVATE 5G IN MANUFACTURINGINDUSTRIAL

  • 4.1 MANUFACTURINGINDUSTRIAL PRIVATE 5G VERSUS DAS

5 FUTURE TRENDS

  • 5.1 ARTIFICIAL INTELLIGENCEMACHINE LEARNING
  • 5.2 NETWORK SLICING
  • 5.3 NEUTRAL HOSTS
  • 5.4 OPEN RAN