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市場調查報告書
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1036874

Flash Call 認證:影響分析和市場預測(2021-2026)

Flash Calling Authentication: Impact Analysis & Market Forecasts 2021-2026

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告分析了全球閃呼認證市場,概述了閃呼對運營商利潤的影響,閃呼認證和A2P短信流量蠶食的問題,以及新技術。我們將為您提供服務等信息。用於利用率、機器人呼叫對市場增長的不利影響以及基於三種預測場景的市場趨勢前景(到 2026 年)。

本報告分析的公司

  • 案例研究: VOX Carrier
  • 提及的公司: 蘋果、步步高、貝爾、德國電信、Facebook Messenger、華為、Imo、KakaoTalk、聯想、LINE、Meta、Orange、三星、STC(沙特電信)、Telef & # 243;nica、Verizon、Viber、微信、WhatsApp、小米、Zalo

分析目標國家

  • 阿根廷
  • 澳大利亞
  • 奧地利
  • 比利時
  • 巴西
  • 加拿大
  • 中國
  • 哥倫比亞
  • 克羅地亞
  • 捷克語
  • 丹麥
  • 芬蘭
  • 法國
  • 德國
  • 印度
  • 印度尼西亞
  • 意大利
  • 日本
  • 馬來西亞
  • 墨西哥
  • 荷蘭
  • 新西蘭
  • 挪威
  • 巴基斯坦
  • 菲律賓
  • 波蘭
  • 葡萄牙
  • 卡塔爾
  • 羅馬尼亞
  • 俄羅斯
  • 沙特阿拉伯
  • 新加坡
  • 南非
  • 韓國
  • 西班牙
  • 瑞典
  • 泰國
  • 土耳其
  • 英國
  • 烏克蘭
  • 阿拉伯聯合酋長國 (UAE)
  • 美國

目錄

第 1 章要點和戰略建議

第二章 Flash Call 市場:未來展望

  • Flash 調用:摘要
    • Flash call:未來場景
      • Flash 通話流量
    • A2P SMS OTP 自相殘殺
    • Flash 話費分析
    • OTT Flash Call 服務威脅
    • 身份驗證用例
    • iOS 和安卓:flash 通話困難

第三章服務貨幣化與未來商業模式

  • 未來的貨幣化和商業模式
    • 網絡審計的必要性
    • 話音防火牆對運營商的作用
    • Flash 通話生態系統
      • Flash 通話服務提供商
      • 網絡運營商
    • CPaaS 公司的機會
    • CPaaS 語音 API 總收入
    • 潛在的快閃電話欺詐領域
      • CLI 欺騙
      • SIM 卡盒騙局
      • 非法號碼重新分配
    • 一環詐騙和機器人電話的區別
    • 獲取虛擬電話號碼

第 4 章市場預測和要點

  • Flash 來電預測:介紹
    • 預測方法
    • 移動訂閱者
    • OTT 消息傳遞用戶總數
  • 當運營商僱傭率低時
    • Flash 調用 API 調用次數:總計
    • 快閃通話的平台收入:總計
    • 基於 OTT 的 Flash 調用 API 調用次數:總計
    • OTT Flash Call 服務的潛在收入損失:總計
  • 如果操作員的僱用率中等
  • 運營商招聘率高時
目錄

Juniper Research's “Flash Calling Authentication” report provides a comprehensive evaluation of the flash calling market, including strategies for mitigating unmonetised traffic and the cannibalisation of A2P SMS traffic. In addition, it contains a scenario-based analysis for the adoption of flash calling services over operator networks and OTT applications. The three scenarios include:

  • Low Adoption Scenario
  • Medium Adoption Scenario
  • High Adoption Scenario

Additionally, the research assesses the impact of OTT flash calling services on future operator flash calling services, pricing analysis, and the role of OS vendors in the flash calling ecosystem. It also evaluates the impact of fraudulent activities and robocalling on the growth of flash calling.

This research suite includes:

  • Strategy & Forecasts (PDF)
  • 12 months' access to harvest online data platform

KEY FEATURES

  • Key Takeaways & Strategic Recommendations: Comprehensive insight into the key trends and challenges facing the flash calling market; aligned with Juniper Research's strategic recommendations for market stakeholders.
  • Market Outlook: Scenario-based analysis of future flash calling authentication services, including pricing, the extent of cannibalisation of A2P SMS, the threat of OTT flash calling services and the role of mobile OS vendors in the flash calling space.
  • Future Business Model Analysis: An evaluation of future business models and key services that will place market stakeholders in the best position to monetise flash calling traffic. Analysis includes:
    • The Flash Calling Ecosystem
    • Acquiring Long Numbers for Authentication
    • Potential Areas of Fraud & the Impact of Robocalling
    • Network Audits & Voice Firewalls
    • The Opportunities for CPaaS Vendors
  • Market Forecasts & Key Takeaways: Scenario-based market forecasts for the adoption of flash calling services, service revenue, and the impact of OTT flash calling services. Forecasts are split by 42 countries, including:
    • Argentina
    • Australia
    • Austria
    • Belgium
    • Brazil
    • Canada
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Finland
    • France
    • Germany
    • India
    • Indonesia
    • Italy
    • Japan
    • Malaysia
    • Mexico
    • Netherlands
    • New Zealand
    • Norway
    • Pakistan
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • US

KEY QUESTIONS

  • 1. What is flash calling and how will it impact operator revenue?
  • 2. To what extent will flash calling authentication cannibalise A2P SMS traffic?
  • 3. What services are available to capitalise on this emerging technology?
  • 4. How will robocalling hinder the growth of flash calling traffic?
  • 5. What will the flash calling market be worth by 2026?

COMPANIES REFERENCED

  • Case Studied: VOX Carrier.
  • Mentioned: Apple, BBK, Bell, Deutsche Telekom, Facebook Messenger, Huawei, Imo, Kakao Talk, Lenovo, LINE, Meta, Orange, Samsung, STC (Saudi Telecom), Telefónica, Verizon, Viber, WeChat, WhatsApp, Xiaomi, Zalo.

DATA & INTERACTIVE FORECAST

Juniper Research's “Flash Calling Authentication” forecast suite includes:

  • 5-year benchmark forecasts for robocalling metrics by 8 key regions and 42 country-level splits including:
    • Argentina
    • Australia
    • Austria
    • Belgium
    • Brazil
    • Canada
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Finland
    • France
    • Germany
    • India
    • Indonesia
    • Italy
    • Japan
    • Malaysia
    • Mexico
    • Netherlands
    • New Zealand
    • Norway
    • Pakistan
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • US
  • Flash Calling Market, including:
    • Total Flash Calling API Calls
    • Total Flash Calling Service Revenue
    • Total OTT-based Flash Calling API
    • Total Operator Losses to OTT-based Flash Calling
  • Scenario-based Forecasts:
    • Low Adoption
    • Medium Adoption
    • High Adoption
  • Access to the full set of forecast data of 25 tables and 8,700 datapoints.
  • Interactive Excel Scenario tool allowing users the ability to manipulate Juniper Research's data for 3 different metrics.

Juniper Research's highly granular IFxls (Interactive Excels) enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the interactive scenario tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1 Key Takeaways & Strategic Recommendations

2. Future Market Outlook for Flash Calling

  • 2.1 Introduction to Flash Calling
    • Figure 2.1: Flash Calling Authentication Process
    • 2.1.1 Future Flash Calling Scenarios
      • Table 2.2: Scenario Criteria
      • i. Flash Calling Traffic
        • Figure 2.3: Global Flash Calling API Calls (m), Split by 3 Impact Scenarios, 2021-2026
        • Figure 2.4: The Role of Flash Calling in Multi-factor Authentication
        • Figure 2.5: Global Platform Revenue from Flash Calling ($), Split by 3 Scenarios, 2021-2026
    • 2.1.2 The Cannibalisation of A2P SMS OTPs
      • Figure 2.6: Proportion of SMS Messaging that is A2P Traffic in 2021 (%), Split by 15 Select Countries
    • 2.1.3 Flash Calling Pricing Analysis
      • Figure 2.7: Average Pricing of Flash Calling Services in 2021 ($), Split by 15 Select Countries, 2021-2026
    • 2.1.4 The Threat of OTT Flash Calling Services
      • Figure 2.8: Total Number of API Flash Calls over OTT Messaging Apps (m), Split by 3 Scenarios, 2021-2026
      • Figure 2.9: Total Operator Loss to OTT Flash Calling Services in 2026, Split by 8 Key Regions
    • 2.1.5 The Authentication Use Cases
      • Figure 2.10: Various Mobile Channels for Customer Engagement & Authentication
      • Table 2.11: Various Mobile Channels Overview
    • 2.1.6 iOS vs Android: The Difficulties with Flash Calling
      • Figure 2.12: Global Smartphone Installed Base Share in 2021 (%), Split by Vendor
      • Figure 2.13: iOS Market Share in 2021 (%), Split by 15 Select Countries

3. Service Monetisation & Future Business Models

  • 3.1 Future Monetisation & Business Models
    • Figure 3.1: Three Key Flash Calling Services
    • 3.1.1 The Need for Network Audits
    • 3.1.2 The Role of Voice Firewalls for Operators
      • Figure 3.2: Global Mobile Subscribers (m), Split by 2G,3G, and 4G & 5G, 2021-2026
    • 3.1.3 The Flash Calling Ecosystem
      • Figure 3.3: Future Flash Calling Ecosystems
      • i. Flash Calling Service Providers
      • ii. Network Operators
    • 3.1.4 Opportunities for CPaaS Players
      • Figure & Table 3.4: Total Number of CPaaS Voice API Calls per annum (m), Split by 8 Key Regions, 2021-2026
    • 3.1.5 Total CPaaS Voice API Revenue
      • Figure & Table 3.5: Total CPaaS Voice Service Revenue ($m), Split by 8 Key Regions, 2021-2026
    • 3.1.6 Potential Areas of Fraud for Flash Calling
      • i. CLI Spoofing
      • ii. SIM Box Fraud
      • iii. Unauthorised Number Reassignments
    • 3.1.7 Wangari Fraud & Differentiating Between Robocalling
    • 3.1.8 Acquiring Virtual Long Numbers

4. Market Forecasts & Key Takeaways

  • 4.1 Introduction to Flash Calling Forecasts
    • 4.1.1 Flash Calling Forecast Methodology
      • Figure 4.1: Flash Call Forecast Methodology
    • 4.1.2 Mobile Subscribers
      • Figure & Table 4.2: Total Number of Mobile Subscribers (m), Split by 8 Key Regions, 2021-2026
      • Table 4.3: Mobile Penetration Rates (%), Split by 8 Key Regions, 2021-2026
    • 4.1.3 Total Number of OTT Messaging Users
      • Figure & Table 4.4: Total Number of OTT Mobile Messaging Users (m), Split by 8 Key Regions, 2021-2026
  • 4.2 Low Operator Adoption
    • 4.2.1 Total Flash Calling API Calls
      • Figure & Table 4.5: Total Number of Flash Calling API Calls (m), Split by 8 Regions, 2021-2026
    • 4.2.2 Total Platform Revenue from Flash Calling
      • Figure & Table 4.6: Total Platform Revenue from Flash Calling Traffic ($m), Split by 8 Key Regions, 2021-2026
    • 4.2.3 Total Number of OTT-based Flash Calls API Calls
      • Figure & Table 4.7: Total Number of OTT-based Flash Calls API Calls (m), Split by 8 Key Regions, 2021-2026
    • 4.2.4 Total Potential Revenue Loss to OTT Flash Calling Services
      • Figure & Table 4.8: Potential Operator Losses to OTT-based Flash Calling Traffic ($m), Split by 2021-2026
  • 4.3 Medium Operator Adoption
    • 4.3.1 Total Flash Calling API Calls
      • Figure & Table 4.9: Total Number of Flash Calling API Calls (m), Split by 8 Key Regions, 2021-2026
    • 4.3.2 Total Platform Revenue from Flash Calling APIs
      • Figure & Table 4.10: Total Platform Revenue from Flash Calling Traffic ($m), Split by 8 Key Regions, 2021-2026
    • 4.3.3 Total Number of OTT-based Flash Calling API Calls
      • Figure & Table 4.11: Total Number of OTT-based Flash Calling APIs (m), Split by 8 Key Regions, 2021-2026
    • 4.3.4 Total Potential Revenue Loss to OTT Flash Calling
      • Figure & Table 4.12: Potential Operator Losses to OTT-based Flash Calling Traffic ($m), Split by 8 Key Regions, 2021-2026
  • 4.4 High Operator Adoption
    • 4.4.1 Total Flash Calling API Calls
      • Figure & Table 4.13: Total Number of Flash Calling API Calls (m), Split by 8 Key Regions, 2021-2026
    • 4.4.2 Total Platform Revenue from Flash Calling APIs
      • Figure & Table 4.14: Total Platform Revenue from Flash Calling Traffic ($m), Split by 8 Key Regions, 2021-2026
    • 4.4.3 Total Number of OTT-based Flash Calling API Calls
      • Figure & Table 4.15: Total Number of OTT-based Flash Calling APIs (m), Split by 8 Key Regions, 2021-2026
    • 4.4.4 Total Potential Revenue Loss to OTT Flash Calling
      • Figure & Table 4.16: Potential Operator Losses to OTT-based Flash Calling Traffic ($m), Split by 8 Key Regions, 2021-2026