查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
2010070

印尼电信：通讯业自动化、人工智慧和高阶网路案例研究

Telkom Indonesia - A Case Study in Telco Automation, AI and AN: Telkom Tackles the Challenge of Serving Customers Scattered Across 6,000+ Islands and Dozens of Legacy Silos with Minimal Human Intervention
出版日期: | 出版商: MTN Consulting, LLC | 英文 10 Pages | 订单完成后即时交付

价格

Telkom 正在努力解决客户分散在 6000 多个岛屿上以及孤立的旧有系统带来的挑战，并尽可能减少人工干预。

本报告探讨了自动化、自主网路（AN）和人工智慧/生成式人工智慧在印尼电信业务中的作用。其目的是阐明这些技术的应用如何降低成本并产生收入，并找出透过这些投资实现利润率显着提升的通讯业者。

印尼电信（Telkom Indonesia）是印尼规模最大、历史最悠久的通讯业者。儘管印尼电信的企业发展主要集中在电信领域，且除电信业务外鲜有其他业务，但在印尼国内市场仍占据主导地位。在行动通讯领域，Telkomsel是最大的营运商，其次是Indosat Ooredoo Hutchison (IOH)和XLSmart（由XL Axiata和Smartfren合併而成）。在固定宽频领域，印尼电信透过其子公司IndiHome保持市场主导地位，而Biznet、MyRepublic和其他一些细分领域的营运商则在特定区域竞争。在全球范围内，印尼电信的规模小规模，2024年其资本支出仅占全球通讯业者资本支出的0.63%。然而，印尼电信却拥有通讯业最高的利润率之一。其2025年第三季的年化息税前利润率（EBIT利润率）为27%，位居全球第七。该公司拥有较低的资产资本充足率和较高的资产报酬率（ROA）。员工人数已从2020年第四季的尖峰时段25,400人下降至2025年第三季的19,200人。在成本方面，该公司更重视资本成本而非人事费用。资本支出（CAPEX）占销售额的比例通常是人事费用的两倍左右。儘管如此，自动化和人工智慧在该公司目前的策略规划中仍然扮演着重要角色。

MTN顾问公司对印尼电信在自动化、人工智慧和应用网路（AN）的成熟度评分为3.5分（满分为5分）。鑑于该公司严格的评估标准，这一分数代表了较高的成就水准。印尼电信显然是区域领导者，儘管面临充满挑战的地理市场环境和较低的平均每用户收入（ARPU），仍持续保持行业领先的利润率。印尼电信已从分散的、依赖工具的方式转向以用例为主导的策略，优先发展高影响力业务领域，例如利用生成式人工智慧来增强事件管理和客户搜寻能力。 Telkomsel和Telin继续在其各自的移动和国际业务部门推进相关实施。母公司面临的挑战包括其众多子公司进展不一，以及需要提升其内部人工智慧工程能力。

本报告提及的组织：

  • Amazon Web Services
  • Amdocs
  • Biznet
  • Cisco
  • Devoteam
  • Ericsson
  • Google Cloud
  • Huawei
  • Indosat Ooredoo Hutchison
  • InfraNexia
  • Metrodata
  • Microsoft
  • MyRepublic
  • NeutraDC
  • Nokia
  • NVIDIA
  • Oracle
  • Sand Technologies
  • SAP
  • Singtel (Paragon)
  • Smartfren
  • Telin
  • Telkomsel
  • Universitas Gadjah Mada
  • valuoo
  • Whale Cloud
  • XL Axiata
  • XLSmart
  • ZTE

目录

第一章概要

第二章：印尼电信的成长、盈利与策略

第三章：Telkom是谁？

第四章：Telkom的策略计画（TLKM30）

第五章：Telkom 的自动化、人工智慧与自主网络

第六章：高阶主管寄语

第七章 自动化

第 8 章人工智慧（人工智慧和生成式人工智慧）

第九章：自治网络

第十章：Telkom的展望

第十一章附录

Product Code: TAIA-07042026-1

Telkom tackles the challenge of serving customers scattered across 6,000+ islands and dozens of legacy silos with minimal human intervention

This profile addresses the role of automation, autonomous networks (AN), and AI/GenAI in Telkom Indonesia's telco operations. The goal is to answer how deployment of these technologies can cut costs and create new revenues, and identify which telcos are achieving tangible margin gains from their investments.

Telkom Indonesia is Indonesia's largest telco and the historical incumbent provider. Telkom has little position outside of telecom and is focused mainly one geography, but it is the leading player in Indonesia. In mobile, Telkomsel is biggest, followed by Indosat Ooredoo Hutchison (IOH) and XLSmart (XL Axiata + Smartfren). In fixed broadband, Telkom Indonesia remains the clear leader through IndiHome, with Biznet, MyRepublic, and other niche providers competing in specific areas. Globally, Telkom is a small player, accounting for 0.63% of global telco capex in 2024. Telkom has among the highest profit margins in the telecom world, though: 3Q25 annualized EBIT margin was 27%, 7th highest globally. Debt to equity is low and return on assets high. Headcount has fallen from a 4Q20 peak of 25.4K to 19.2K in 3Q25. Cost-wise, the company is more concerned with capital costs than labor costs. As a % of revenues, capex is usually about 2x the level of labor. Regardless, automation and AI play a large role in their current strategic plan.

MTN Consulting rates Telkom Indonesia as a 3.5 out of 5 in the maturity of its efforts around automation, AI and AN. We are tough graders, so this is an accomplishment. The company is clearly a strong regional leader, and it has overcome a challenging geographic market and low ARPUs to consistently record one of the highest profit margins in the industry. Telkom has transitioned from a fragmented tools-based approach to a use-case-driven strategy. This approach prioritizes high-impact operational domains, such as GenAI for incident management and enhanced customer search. Telkomsel and Telin continue to drive execution in the mobile and international sectors, respectively. The parent company's challenges include uneven progress across many subsidiaries, and a need to mature internal AI engineering capabilities.

Organizations mentioned in this report include:

  • Amazon Web Services
  • Amdocs
  • Biznet
  • Cisco
  • Devoteam
  • Ericsson
  • Google Cloud
  • Huawei
  • Indosat Ooredoo Hutchison
  • InfraNexia
  • Metrodata
  • Microsoft
  • MyRepublic
  • NeutraDC
  • Nokia
  • NVIDIA
  • Oracle
  • Sand Technologies
  • SAP
  • Singtel (Paragon)
  • Smartfren
  • Telin
  • Telkomsel
  • Universitas Gadjah Mada
  • valuoo
  • Whale Cloud
  • XL Axiata
  • XLSmart
  • ZTE

Table of Contents

1. Summary

2. Growth, profitability and strategy at Telkom Indonesia

3. Who is Telkom

4. Telkom's strategic plan - TLKM30

5. Automation, AI and Autonomous Networks at Telkom

6. Executive quotes

7. Automation

8. Artificial intelligence (AI & GenAI)

9. Autonomous Networks

10. Outlook for Telkom

11. Appendix

List of Figures and Tables

  • Table 1: Telco snapshot - Telkom Indonesia
  • Figure 1: Revenue and capex trend line - Telkom Indonesia
  • Figure 2: Headcount and labor costs for Telkom Indonesia
  • Figure 3: Variation in major cost categories and EBIT margin for Telkom Indonesia
  • Figure 4: Main pillars of Telkom's strategy through 2030