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ネットワークトークン化の世界市場（2023年～2028年）

Global Network Tokenisation Market: 2023-2028
出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

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ネットワークトークン化の世界市場（2023年～2028年）
出版日: 2023年09月04日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、世界のネットワークトークン化市場について調査分析し、eコマース、モバイル決済、IoT取引など、ネットワークトークン化を利用するさまざまな決済タイプを含む市場の詳細な評価を提供しています。

主な市場統計

市場規模（2023年） 21億米ドル
市場規模（2028年） 65億米ドル
2023年～2028年のCAGR 25.6%

予測サマリー

ネットワークトークン化された取引は190%の大幅な成長を示し、全世界で2023年に1,403億件、2028年に4,000億件に達すると予測されています。これらの取引には、オンラインとデスクトップのeコマース取引、モバイル決済、IoT取引が含まれます。

  • 市場での導入が成功した後、ネットワークトークン化の指令が急増することが予想されます。その好例がReserve Bank of Indiaで、2022年10月からオンライン取引に使用されるすべてのクレジットカードとデビットカードのトークン化を義務付けています。eコマースにおける取引や決済手段が増加し続ける中、規制や指令の実施を通じて統治機関が行動を起こすことは重要です。ネットワークトークン化ベンダーにとって、こうした新たな義務化は収益を拡大する重要な機会となります。
  • eコマースの取引が急増する中、決済プロバイダーは、ユーザーエクスペリエンスやセキュリティを損なうことなく、増大する業務を処理するために大きな負担を強いられています。ネットワークトークン化ベンダーにとって重要なのは、拡張性のあるソリューションを長期にわたって提供することです。例えばClick to Payは、チェックアウトプロセスを保護しながら、決済データを手動で入力する必要性をなくす、非常に摩擦の少ない決済方法です。

目次

市場の動向と戦略

第1章 重要事項と戦略的推奨事項

  • 重要事項
  • 戦略的推奨事項

第2章 市場情勢

  • イントロダクション
    • 定義とレポートの範囲
  • 決済オーケストレーション
  • トークン化
    • トークン化の種類
    • 使い捨てトークン vs. 永続トークン
  • eコマースにおけるネットワークトークン化
    • 遠隔の物理およびデジタルの商品購入における詐欺率
    • i. 遠隔の物理商品
    • ii. 遠隔のデジタル商品
  • ネットワークトークン化の主な動向

第3章 市場力学

  • イントロダクション
  • ネットワークトークン化の利点
    • 認証率の向上
    • チェックアウトコンバージョン率の向上
    • 決済拒否の削減
    • カスタマーエクスペリエンスの向上
    • リスクの低減
    • コスト削減
  • 今後の課題
    • 安全
    • 融資
    • 規制
  • トークン化における技術
    • トークン化技術における課題
  • ネットワークトークン化に関する規制の制定
    • PCI CPoC
    • EMVCo
  • P2PE（ポイントツーポイント暗号化）
  • Card-on-Fileトークン化
  • ネットワークトークン化の地域差

第4章 セグメント分析

  • イントロダクション
  • eコマース
    • EMV、eコマース、相互運用性
    • eコマースにおけるCard on File
  • モバイル決済のトークン化
    • デジタルウォレット
  • IoTトークン化
    • EMVCo、IoT

競合リーダーボード

第1章 Juniper Researchの競合リーダーボード

第2章 企業プロファイル

  • ネットワークトークン化ベンダープロファイル
    • Adyen
    • American Express
    • Braintree
    • Carta Worldwide
    • Discover
    • Fiserv
    • G+D
    • IDEMIA
    • Mastercard
    • Pagos
    • Spreedly
    • Thales
    • TokenEx
    • Visa
    • Worldpay from FIS
  • Juniper Researchリーダーボードの評価手法

データと予測

第1章 市場の概要

  • イントロダクション
    • 定義とレポートの範囲
  • 決済オーケストレーション
  • トークン化
    • トークン化の種類
  • イントロダクション
  • 調査手法と前提条件
  • 予測の概要
    • ネットワークトークン化された取引の総数
    • 年間使用されるネットワークトークンの総数
    • 年間総の収益：ネットワークトークン化別

第2章 eコマースのトークン化

  • eコマースのネットワークトークン化された取引の総数
    • 使用中のeコマースネットワークトークンの総数
    • eコマースのトークンプロビジョニングの年間収益
    • eコマースのネットワークトークン管理の年間収益
    • eコマースのネットワークトークン化の年間総収益

第3章 モバイル決済のトークン化

  • モバイル決済のネットワークトークン化された取引の総数
    • 使用中のモバイル決済ネットワークトークンの総数
    • モバイル決済のネットワークトークンプロビジョニングの年間収益
    • モバイル決済のネットワークトークン管理の年間収益
    • モバイル決済のネットワークトークン化の年間総収益

第4章 IoTのトークン化

  • IoTのネットワークトークン化された取引の総数
  • 使用中のIoTネットワークトークンの総数
  • IoTのネットワークトークンプロビジョニングの年間収益
  • IoTのネットワークトークン管理の年間収益
  • IoTのネットワークトークン化別の年間総収益
目次

REPORT OVERVIEW

Juniper Research's “ Network Tokenisation” research report provides a detailed evaluation of the market, including different payment types that utilise network tokenisation, including eCommerce, mobile payments and IoT transactions. The research also considers the future challenges of network tokenisation in the payments ecosystem, and emerging trends within the space. In addition, this report covers market opportunities; providing strategic insights into the development of network tokenisation in line with new technologies, such as AI and machine learning. It highlights key steps that are important for both vendors and merchants to take on implementing network tokenisation in order to improve security and approval rates within payments.

The report also positions 15 network tokenisation vendors in our Juniper Research Competitor Leaderboard; providing an invaluable resource for stakeholders seeking to understand the competitive landscape in the market.

The research suite contains a detailed dataset; providing forecasts for 60 countries across a wide range of different metrics, including total revenue from network tokenisation, split by token provision and token management. It also splits number of tokenised payment transactions for desktop/laptop eCommerce, mobile payments and IoT transactions.

This research suite comprises of:

  • Market Trends & Strategies (PDF)
  • Competitor Leaderboard (PDF)
  • Data & Forecasts (PDF & Excel)
  • 12 Months' Access to harvest Online Data Platform

Key Market Statistics

Market size in 2023:$2.1bn
Market size in 2028:$6.5bn
2023 to 2028 CAGR Growth:25.6%

KEY FEATURES

  • Market Dynamics: A strategic analysis of the major drivers, challenges, and innovations shaping the adoption and development of the network tokenisation space:
    • The importance of using network tokens in the face of growing fraud rates.
    • Future strategic direction and market outlook for network tokenisation vendors.
    • Key drivers and benefits of network tokenisation for vendors, including an increase in fraud, the implementation of AI and ML and their impact on the network tokenisation space, and how network tokenisation can improve the authorisation rates within payments.
  • Segment Analysis: A segment analysis of network tokenisation, focusing on the different digital payment types including eCommerce, mobile payments and IoT transaction. Looking into key challenges, significant trends and future outlook. This gives readers insight into the markets with a growing need for improvement within network tokenisation.
  • Benchmark Industry Forecasts:Includes forecasts for the total network tokenisation revenue across desktop/laptop eCommerce, mobile payments and IoT transactions, as well as the total number of network tokenised transactions. This data is split by provisioned and managed tokens, and for our 8 key forecast regions and 60 countries:
  • North America:
    • Canada, US
  • Latin America:
    • Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay
  • West Europe:
    • Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, UK
  • Central & East Europe:
    • Croatia, Czech Republic, Hungary, Poland, Romania, Russia, Turkey, Ukraine
  • Far East & China:
    • China, Hong Kong, Japan, South Korea
  • Indian Subcontinent:
    • Bangladesh, India, Nepal, Pakistan
  • Rest of Asia Pacific:
    • Australia, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam
  • Africa & Middle East:
    • Algeria, Egypt, Israel, Kenya, Kuwait, Nigeria, Qatar, Saudi Arabia, South Africa, United Arab Emirates
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 15 network tokenisation vendors, via the Juniper Research Competitor Leaderboard:
    • Adyen
    • American Express
    • Braintree
    • Carta Worldwide
    • Discover
    • FIS
    • Fiserv
    • G+D
    • IDEMIA
    • Mastercard
    • Pagos
    • Spreedly
    • Thales
    • TokenEx
    • Visa

KEY QUESTIONS ANSWERED

  • 1. What are the current trends in the network tokenisation market?
  • 2. What are the future prospects for the network tokenisation market?
  • 3. What are the technology trends and regulatory framework in the tokenisation market?
  • 4. Who are the most successful players in the network tokenisation market?
  • 5. Which markets will see the strongest network tokenisation growth?

COMPANIES REFERENCED

  • Interviewed: Discover, G+D, IDEMIA, Pagos, Worldpay from FIS.
  • Included in Juniper Research Competitor Leaderboard: Adyen, American Express, Braintree, Carta Worldwide, Discover, Fiserv, G+D, IDEMIA, Mastercard, Pagos, Spreedly, Thales, TokenEx, Visa, Worldpay from FIS.
  • Mentioned: 3dcart, Acquired, Adobe, Airbnb, Allegacy Federal Credit Union, Amazon, Apple, Arbor Ventures, Arc'tery, Bank Liberty, BigCommerce, Booking.com, British Airways, CBE (Central Bank of Egypt), Central Bank, CheckFree Corporation, Checkout.com, Chewy, Citi, Cognizant, Credorax, Currencycloud, Cybersource, Delta Airlines, dLocal, DocuSign, Dropbox, EasyJet, Ebank, eBay, EBC (Egyptian Banks Company), E Merge, Equifax, Eventbrite, Fitbit, FitPay, Fortress Identity, Garmin, ghd, GitHub, GoFundMe, Google, Gr4vy, Groupon, Harold Mechelynck, HealthCare First Credit Union, Hilton Worldwide, Horizon Investments, Infinity Ventures, Infosys, Ingenico, Inside Secure, JustPark, Konsentus, Kount, Levi's, Lianlian DigiTech Co, Magento, McDonalds, Microsoft, MODO, Mogo, NBT Bank, Netcetera, Nets, New York Community Bank, Nuvei, OpenCart, OptBlue Partners, Oracle, Orbital, PayCentral, PayPal, PayShield, Pizza Express, Point72 Ventures, Portland Local 8 Federal Credit Union, PushPay, Rambus, Rappi, RBI (Reserve Bank of India), Samsung, Santander, SeatGeek, Secureframe, Shopify, ShopWare, ShopWired, Skyscanner, Smartlink, Sodexo, Spectrum Equity, Spotify, Staley Credit Union, Strawhecker Group, Stripe, Uber, Underscore VC, UnionPay, Unitey Digital Holding, Utilita, Venmo, Warner Bros. Discovery, White Castle, WooCommerce, Worldline, Yodel, Zeta.

DATA & INTERACTIVE FORECAST

Juniper Research's “ Payment Tokenisation” forecast suite includes:

  • Forecasts for payment tokenisation revenue, split by payment type and token provisioning revenue and token management revenue.
  • Interactive scenario tool allowing users to manipulate Juniper Research's data for four different metrics.
  • Access to the full set of forecast data of 64 tables and more than 48,500 datapoints.

Geographical splits: 60 countries.

Harvest: Our online data platform, harvest, contains the very latest market data and is updated throughout the year. This is a fully featured platform enabling clients to better understand key data trends and manipulate charts and tables, overlaying different forecasts within the one chart - using the comparison tool. Empower your business with our market intelligence centre, and get alerted whenever your data is updated.

Interactive Excels (IFxl): Our IFxl tool enables clients to manipulate both forecast data and charts, within an Excel environment, to test their own assumptions using the Interactive Scenario Tool and compare selected markets side by side in customised charts and tables. IFxls greatly increase a clients' ability to both understand a particular market and to integrate their own views into the model.

FORECAST SUMMARY

Network-tokenised transactions are anticipated to experience substantial growth of 190%, reaching 400 billion globally in 2028, up from 140.3 billion in 2023. These transactions include online and desktop eCommerce transactions, mobile payments and IoT transactions.

  • Findings show that network tokenisation, the process of replacing card payment data with unique network-issued tokens, is able to balance security and friction more effectively than other solutions - a key concern within the eCommerce market. The repeated usability of network tokens reduces the instances a consumer is required to provide payment details; promoting limited friction.
  • A surge is anticipated in network tokenisation mandates, following successful market implementations. A great example of this is the Reserve Bank of India, which requires tokenisation for all credit and debit cards used for online transactions from October 2022. As the number of transactions and payment methods within eCommerce continue to increase, it is important for governing bodies to take action through implementing regulations and mandates. These new mandates will represent an important opportunity for network tokenisation vendors to grow their revenue.
  • Surging eCommerce transaction volumes are placing great strain on payment providers to handle the growing workload, without compromising user experience or security. It is important for network tokenisation vendors to deliver scalable solutions which provide longevity, such as Click to Pay, a highly frictionless form of payment that eliminates the need for manually entering payment data whilst securing the checkout process.

Table of Contents

Market Trends & Strategies

1. Key Takeaways & Strategic Recommendations

  • 1.1 Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
    • 2.1.1. Definitions & Scope of Report
  • 2.2. Payment Orchestration
  • 2.3. Tokenisation
    • Figure 2.1: Visualisation of Network Tokenisation Process
    • 2.3.1. Types of Tokenisation
      • Figure 2.2: Visualisation of Types of Tokenisation
    • 2.3.2. Single-use vs Persistent Tokens
      • i. Single-use Token
      • ii. Persistent Tokens
        • Figure 2.3: Graph Displaying Persistent Network Token Growth, Split by 8 Key Regions, 2023-2028
        • Table 2.4: Types of Tokenisation
  • 2.4. Network Tokenisation in eCommerce
    • 2.4.1. Fraud Rates in Remote Physical and Digital Good Purchases
    • Figure 2.5: Total Value of Fraudulent Transactions, Split by Segment, Global, 2023-2028
    • i. Remote Physical Goods
      • Figure 2.6: Graph Showing Total Remote Physical Goods Fraud ($m), Split by 8 Key Regions, 2023-2028
    • ii. Remote Digital Goods
      • Figure 2.7: Graph Showing Total Remote Digital Goods Fraud ($m), Split by 8 Key Regions, 2023-2028
  • 2.5 Key Trends in Network Tokenisation

3. Market Dynamics

  • 3.1. Introduction
  • 3.2. Benefits of Network Tokenisation
    • Figure 3.1: Benefits within Network Tokenisation
    • 3.2.1. Improved Authorisation Rates
    • 3.2.2. Improved Checkout Conversion Rates
    • 3.2.3. Reduction in Declined Payments
    • 3.2.4. Improved Customer Experience
    • 3.2.5. Lower Risk
    • 3.2.6. Cost Savings
  • 3.3. Future Challenges
    • Figure 3.2: Future Challenges within Network Tokenisation
    • 3.3.1. Security
    • 3.3.2. Financing
    • 3.3.3. Regulation
  • 3.4. Technology in Tokenisation
    • Figure 3.3: Visualisation of Generating a Tokenised Number
    • 3.4.1. Challenges within Tokenisation Technology
  • 3.5. Regulations in Place for Network Tokenisation
    • 3.5.1. PCI CPoC
    • 3.5.2. EMVCo
      • Figure 3.4: Visualisation of EMVCo
  • 3.6. P2PE (Point-to-Point Encryption)
  • 3.7. Card-on-File tokenisation
  • 3.8. Network Tokenisation Regional Differences
    • 3.8.1. Network Tokenisation in India
    • 3.8.2. UK Banks Exploring National Platform for Tokenised Securities
    • 3.8.3. Tokenise Europe 2025
    • 3.8.4. Domestic Card Schemes

4. Segment Analysis

  • 4.1. Introduction
  • 4.2. eCommerce
    • Figure 4.1: 'Click to Pay' Icon
    • Figure 4.2: Total Revenue from eCommerce Network Tokenisation ($m), Split by 8 Key Regions, 2023-2028
    • Figure 4.3: Visa eCommerce and Mobile Payments Tokenisation Solution Process
    • 4.2.1. EMV, eCommerce & Interoperability
    • 4.2.2. Card on File in eCommerce
      • Figure 4.4: Card-on-File Tokenisation
  • 4.3. Mobile Payment Tokenisation
    • 4.3.1. Digital Wallets
    • Figure 4.5: Network Tokenisation in Digital Wallets
    • Figure 4.6: Total Revenue from Mobile Payment Network Tokenisation ($m), Split by 8 Key Regions, 2023-2028
  • 4.4. IoT Tokenisation
    • Figure 4.7: Total Number of IoT transactions Which Are Network Tokenised (m), Split by 8 Key Regions, 2023-2028
    • Figure 4.8: Visa's IoT Payments Solution Model
    • 4.4.1. EMVCo and IoT
      • Figure 4.9: Total Revenue from IoT Network Tokenisation per annum ($m), Split by 8 Key Regions, 2023-2028

Competitor Leaderboard

1. Juniper Research Competitor Leaderboard

  • 1.1. Why Read This Report
    • Table 1.1: Juniper Research Competitor Leaderboard Vendors: Network Tokenisation
    • Figure 1.2: Juniper Research Competitor Leaderboard - Network Tokenisation
    • Table 1.3: Juniper Research Competitor Leaderboard: Network Tokenisation Vendor Ranking
    • Table 1.4: Juniper Research Competitor Leaderboard Network Tokenisation - Heatmap

2. Company Profiles

  • 2.1. Network Tokenisation Vendor Profiles
    • 2.1.1. Adyen
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.2. American Express
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 2.1: American Express Services
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.3. Braintree
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.4. Carta Worldwide
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
        • Figure 2.2: Carta Worldwide Fintech Customers
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.5. Discover
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.6. Fiserv
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 2.3: Fiserv's Role in Tokenisation
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.7. G+D
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 2.4: Visualisation of G+D Convego Service Broker
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.8. IDEMIA
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.9. Mastercard
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.10. Pagos
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 2.5: Pagos' Visualize, Analyze, Detect, Act, Repeat!
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.11. Spreedly
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.12. Thales
      • i. Corporate
        • Table 2.6: Thales' Financial Snapshot ($m), FY 2020-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 2.7: Thales TSH SDK Security Protocols
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.13. TokenEx
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.14. Visa
      • i. Corporate
        • Table 2.8: Visa's Financial Snapshot, ($m), FY 2020-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
    • 2.1.15. Worldpay from FIS
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
      • vi. Juniper Research's View: Key Strengths & Strategic Opportunities
  • 2.2. Juniper Research Leaderboard Assessment Methodology
    • 2.2.1. Limitations & Interpretations
      • Table 2.9: Juniper Research Leaderboard Assessment Criteria: Network Tokenisation

Data & Forecasting

1. Market Overview

  • 1.1. Introduction
    • 1.1.1. Definitions & Scope of Report
  • 1.2. Payment Orchestration
  • 1.3. Tokenisation
    • Figure 1.1: Visualisation of Network Tokenisation Process
    • 1.3.1. Types of Tokenisation
      • Figure 1.2: Visualisation of Types of Tokenisation
  • 1.4. Introduction
  • 1.5. Methodology & Assumptions
    • Figure 1.3: eCommerce Network Tokenisation Methodology
    • Figure 1.4: Mobile Payment Network Tokenisation Methodology
    • Figure 1.5: IoT Network Tokenisation Methodology
  • 1.6. Forecast Summary
    • 1.6.1. Total Number of Network-tokenised Transactions
      • Figure & Table 1.6: Total Network-tokenised Transactions (m), Split by 8 Key Regions, 2023-2028
    • 1.6.2. Total Number of Network Tokens used per annum
      • Figure & Table 1.7: Total Network Tokens (m), Split by 8 Key Regions, 2023-2028
    • 1.6.3. Total Network Tokenisation Revenue per annum
      • Figure & Table 1.8: Total Network Tokenisation Revenues ($m), Split by 8 Key Regions, 2023-2028

2. eCommerce Tokenisation

  • 2.1. Total Number of eCommerce Network-tokenised Transactions
    • Figure & Table 2.1: Total Number of eCommerce Network-tokenised Transactions (m), Split by 8 Key Regions, 2023-2028
    • 2.1.1. Total Number of eCommerce Network Tokens in Use
      • Figure & Table 2.2: Total Number of eCommerce Network Tokens in Use (m), Split by 8 Key Regions, 2023-2028
    • 2.1.2. Revenue from eCommerce Token Provisioning per annum
      • Figure & Table 2.3: Total Revenue from eCommerce Token Provisioning ($m), Split by 8 Key Regions, 2023-2028
    • 2.1.3. Revenue from eCommerce Network Token Management per annum
      • Figure & Table 2.4: Total Revenue from eCommerce Network Token Management ($m), Split by 8 Key Regions, 2023-2028
    • 2.1.4. Total eCommerce Network Tokenisation Revenues per annum
      • Figure & Table 2.5: Total eCommerce Network Tokenisation Revenues ($m), by 8 Key Regions, 2023-2028

3. Mobile Payment Tokenisation

  • 3.1. Total Number of Mobile Payment Network Tokenised Transactions
    • Figure & Table 3.1: Total Number of Mobile Payment Network Tokenised Transactions (m), Split by 8 Key Regions, 2023-2028
    • 3.1.1. Total Number of Mobile Payment Network Tokens in Use
      • Figure & Table 3.2: Total Number of Mobile Payment Network Tokens in Use (m), Split by 8 Key Regions, 2023-2028
    • 3.1.2. Revenue from Mobile Payment Network Token Provisioning per annum
      • Figure & Table 3.3: Total Revenue from Mobile Payment Token Provisioning ($m), Split by 8 Key Regions, 2023-2028
    • 3.1.3. Revenue from Mobile Payment Network Token Management per annum
      • Figure & Table 3.4: Total Revenue from Mobile Payment Network Token Management ($m), Split by 8 Key Regions, 2023-2028
    • 3.1.4. Total Mobile Payment Network Tokenisation Revenue per annum
      • Figure & Table 3.5: Total Mobile Payment Network Tokenisation Revenue ($m), Split by 8 Key Regions, 2023-2028

4. IoT Tokenisation

  • 4.1.1. Total Number of IoT Network-tokenised Transactions
    • Figure & Table 4.1: Total Number of IoT Network-tokenised Transactions (m), Split by 8 Key Regions, 2023-2028
  • 4.1.2. Total Number of IoT Network Tokens in Use
    • Figure & Table 4.2: Total Number of IoT Network Tokens in Use (m), Split by 8 Key Regions, 2023-2028
  • 4.1.3. Revenue from IoT Network Token Provisioning per annum
    • Figure & Table 4.3: Total Revenue from IoT Token Provisioning ($m), Split by 8 Key Regions, 2023-2028
  • 4.1.4. Revenue from IoT Network Token Management per annum
    • Figure & Table 4.4: Total Revenue from IoT Network Token Management ($m), Split by 8 Key Regions, 2023-2028
  • 4.1.5. Total IoT Network Tokenisation Revenue per annum
    • Figure & table 4.5: Total IoT Network Tokenisation Revenue ($m), Split by 8 Key Regions, 2023-2028