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市場調查報告書

電信行業自動化和工程師的進步:自動化工具對於降低成本和採取COVID-19措施變得越來越重要

Automation's Rise and the Telecom Engineer: Telco Labor Costs are 23% of Opex, Half Spent on the Network and IT Staff, Automation Tools Rising in Importance with Cost Pressures and COVID-19

出版商 MTN Consulting, LLC 商品編碼 953764
出版日期 內容資訊 英文 16 Pages
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電信行業自動化和工程師的進步:自動化工具對於降低成本和採取COVID-19措施變得越來越重要 Automation's Rise and the Telecom Engineer: Telco Labor Costs are 23% of Opex, Half Spent on the Network and IT Staff, Automation Tools Rising in Importance with Cost Pressures and COVID-19
出版日期: 2020年08月13日內容資訊: 英文 16 Pages
簡介

由於核心市場增長機會有限,電信行業的公司一直在尋找節省資金的機會,而且供應商還能夠實現以前需要員工干預的自動化操作。通過這樣做,我們正在幫助運營商降低成本。 2019年,全球電信運營商投資了2,970億美元,人工成本為2,920億美元,佔不計折舊的運營費用的23.1%。大約一半的勞動力成本是技術人員,30%的人員負責線路和無線電,設備安裝和維修,以及20%的計算機/IT/軟件開發人員。

此報告是對電信行業自動化的一項調查,並提供有關自動化的現狀,其歷史和未來前景的信息。

本報告涵蓋的組織

  • Accenture
  • Axiata
  • Ericsson
  • KT
  • Tech Mahindra
  • Acumos
  • BCE
  • Etisalat
  • MTN Group
  • Telefonica
  • Airtel
  • Cellwize
  • EXFO
  • Nokia
  • Telenor
  • AIS
  • Charter Communications
  • Forsk
  • NTT
  • Telkom Indonesia
  • Altice Europe
  • China Mobile
  • HERE
  • O-RAN Alliance
  • Telstra
  • Altice Labs
  • China Unicom
  • Huawei
  • Orange
  • TEOCO
  • America Movil
  • Comarch
  • IBM
  • P.I. Works
  • U.S. Bureau of Labor Statistics
  • Aria Networks
  • Crown Castle
  • iBwave
  • Parallel wireless
  • Verizon
  • AT&T
  • Deutsche Telekom
  • Infovista
  • RanPlan Wireless
  • Vodafone
  • ATDI
  • Du
  • KDDI
  • Samsung

目錄

概述

  • 自動化是降低運營商網絡工程成本的關鍵

自動化的現狀

  • 人員費用,佔電信運營商業務費用的大部分(全球平均水平為23%)
  • 主要發現
    • 行政和工程方面的勞動力成本相對較高
    • 大約一半的人工成本是技術性的:維護和維修,網絡工程,軟件/IT
    • 人員成本,儘管項目總成本的比例不同,但仍是很大的負擔
    • 優化勞動力以提高盈利能力
    • 第三方技術提供商,該公司僱用了許多技術人員,並負責安裝和維修有線和無線通信設備。

到目前為止的歷史

  • 一家電信運營商正在努力保持穩定的員工人數和每位員工的人事成本
    • 提高無線業務生產力
    • 通過專注於RAN的自動化各種任務來確保出色的結果

未來展望

  • RAN供應商和ISV開發了廣泛的自動化工具

結論

附錄1

目錄
Product Code: GNI-13082020-1

Automation is the key to telcos controlling their network engineering costs

The telecommunications industry as a whole has been in "running to stand still" mode for at least a decade. Limited top-line growth opportunities in core markets have created a constant concern with opportunities for cost reductions. Vendors have facilitated telecommunications network operators' cost-reduction efforts with a constant stream of innovations, many aimed at automating tasks which used to require staff intervention.

That's important because labor isn't cheap. The funds spent on building and upgrading telecommunications network operator (telco) networks, represented by capital expenditures (capex), get a lot of industry attention. There should be just as much attention paid to technical labor costs and how to optimize this cost base. Global telco capex was $297 billion (B) in 2019. Telco labor costs amounted to $292 billion in the same year, or 23.1% of operating expenditures excluding depreciation & amortization (opex ex-D&A). Half of this figure is for technical staff: about 30% for line, radio and equipment installation and repair; and 20% for computer/IT/software development-related occupations.

Both systems vendors like Ericsson and Nokia and a plethora of independent software vendors (ISVs) are developing a broad range of automation tools for telcos, related to network design, planning, forecasting, testing, and repair. Many of the tools leverage recent advancements in artificial intelligence and machine learning. The tools require capex to purchase and staff training to implement, but also promise to reduce the headcount required to run networks.

Automation doesn't mean people will become obsolete, but it does mean a changing workforce. Telcos require different skillsets in employees nowadays, with software development and database administration more important (and more costly) than laying fiber and climbing towers. As 5G networks scale, and telcos look to a broad range of new services to deliver growth (or at least to stem revenue erosion), automation will remain key to their success.

This report quantifies telco spending on labor costs, focusing on the telecom and IT network engineering workforce in particular. It assesses the implications of cost variations among different specialties in this labor pool, and the role of automation in networks. The report also highlights telcos that have done above average jobs at optimizing their labor base, and examines automation tools in use by these leaders and the broader industry.

Organizations mentioned in this report include:

  • Accenture
  • Axiata
  • Ericsson
  • KT
  • Tech Mahindra
  • Acumos
  • BCE
  • Etisalat
  • MTN Group
  • Telefonica
  • Airtel
  • Cellwize
  • EXFO
  • Nokia
  • Telenor
  • AIS
  • Charter Communications
  • Forsk
  • NTT
  • Telkom Indonesia
  • Altice Europe
  • China Mobile
  • HERE
  • O-RAN Alliance
  • Telstra
  • Altice Labs
  • China Unicom
  • Huawei
  • Orange
  • TEOCO
  • America Movil
  • Comarch
  • IBM
  • P.I. Works
  • U.S. Bureau of Labor Statistics
  • Aria Networks
  • Crown Castle
  • iBwave
  • Parallel wireless
  • Verizon
  • AT&T
  • Deutsche Telekom
  • Infovista
  • RanPlan Wireless
  • Vodafone
  • ATDI
  • Du
  • KDDI
  • Samsung

Table of Contents

Summary

  • Automation is the key to telcos controlling their network engineering costs

What's the current situation?

  • Telco labor costs are a major part of opex, averaging 23% of total worldwide
  • Key findings
    • Telco labor is relatively expensive, both on the management and technical sides
    • Up to half of total labor costs are technical in nature: maintenance and repair, network engineering, and software/IT
    • Labor cost burden as % total opex varies widely
    • Some telcos have optimized their workforce better than others in the search for profitability
    • Carrier-neutral providers now employ thousands of technicians installing and repairing lines, and radio and telecommunications equipment

How did we get here?

  • Headcount and labor costs per head are stable, but telcos work hard to keep it this way
    • Productivity has surged in the wireless business
    • Top performers are deploying automation across range of areas, with RAN a focal point

What happens next?

  • RAN vendors and ISVs developing broad range of automation tools

Conclusions

Appendix 1

  • About MTN Consulting
  • Terms of Use

FIGURES AND CHARTS

  • Figure 1: Telco revenues, capex, and labor costs (US$B)
  • Figure 2: Annual mean wage (U.S. $) by occupation, U.S. telecommunications sector (May 2019)
  • Figure 3: Technical occupations in the U.S. telecom industry: % of employment and wages (May 2019)
  • Figure 4: Labor costs as a percentage of opex ex-D&A, global average (annualized)
  • Figure 5: Earnings before tax & interest per $1 spent on staff (2019)
  • Figure 6: Telecom industry headcount and average labor cost per employee ($K), 2011-19
  • Figure 7: Average annual percent change in productivity by industry, U.S. (2007-18)
  • Figure 8: Top performing telcos and automation - sample deployments
  • Figure 9: Automation offerings from the vendor marketplace