SIM 스왑 사기 탐지 소프트웨어 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the SIM swap fraud detection software market size was valued at USD 15.84 billion in 2025 and estimated to expand from USD 19.39 billion in 2026 to reach USD 55.37 billion by 2031, at a CAGR of 23.35% during the forecast period (2026-2031).

Global SIM Swap Fraud Detection Software Market Trends and Insights

Rising SIM Swap, Port-Out, and Account Takeover Attacks

The increasing volume and cost of SIM swaps establish a lasting demand base for the SIM swap fraud-detection software market, even as technology spending becomes more selective. The FBI reported that SIM swap incidents increased by 48% in 2025 and caused global losses exceeding USD 2.7 billion, although direct reports do not capture every subsequent account-drain event enabled by a hijacked number. Cifas recorded a 1,055% increase in UK SIM swap cases in 2024, highlighting how fraudsters used retail SIM-change channels to access protected accounts. A number takeover can provide access to password resets, transaction confirmations, and recovery flows that depend on SMS messages. Fraud teams may record the eventual payment loss without identifying the earlier SIM change that enabled the attack. That reporting gap can delay procurement decisions, but it also creates a clear case for enterprises that want SIM-level checks before high-risk transactions, account recovery, and payment approvals.

Expansion of Mobile Network Fraud-Prevention APIs

Standardized carrier APIs are turning data that was once isolated within operator systems into an input that application developers can use to make risk decisions across the SIM swap fraud detection software market. The GSMA Open Gateway program covers more than 80 operator groups, 292 networks, and over 80% of global mobile connections, creating a common route to carrier capabilities. Poland's 4 major operators launched SIM Swap and Number Verification APIs in February 2026, and Greece's COSMOTE TELEKOM and Vodafone followed with comparable services in March 2026. Itau Unibanco used the CAMARA SIM Swap API more than 36.5 million times through April 2025, with a monthly run rate of 5 million calls. The same interface can reduce integration work for banks operating across multiple mobile networks. As these interfaces become more widely available, vendors will compete more on risk orchestration, workflow design, model performance, and deployment support than on exclusive access to one operator's data.

Fragmented Access to Mobile Network Data

Fragmented carrier data remains a central limitation because a check can return no useful signal when the relevant operator is outside a provider's integration network. The GSMA reported in 2026 that API availability in mature markets had improved, but the conversion of available APIs into enterprise revenue remained uneven. Platform-mediated distribution models are gaining preference in the SIM swap fraud detection software market because they reduce the need for direct commercial agreements with every operator. Yet providers still need to maintain operator relationships and CAMARA integrations where coverage is incomplete. This increases operating cost, complicates product maintenance, and delays expansion into markets where mobile data access is less standardized or commercial agreements are still developing. Smaller fintechs may apply checks only to their largest operator relationships, leaving gaps that fraudsters can exploit by moving a victim's number to an uncovered network.

Other drivers and restraints analyzed in the detailed report include:

1. Regulatory Requirements for Secure SIM Changes and Strong Authentication
2. Growth of Mobile Banking, Instant Payments, and Digital Identity Services
3. False Positives and Customer Friction

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software accounted for 62.13% of the SIM swap fraud detection software market revenue in 2025, reflecting demand for platforms capable of processing high volumes of carrier and transaction signals. The segment benefits from the low incremental cost of processing additional API calls once providers have trained and deployed a model. Banks can use a single platform to integrate SIM-change events, device data, behavioral patterns, and consortium intelligence into a single decision workflow. This approach reduces the need to manage separate providers for each fraud signal, while software vendors continuously update rules and models as fraudsters change their methods. This position gives software providers a large installed base from which to offer related identity, authentication, and transaction-monitoring tools. It also enables them to retain customers through product updates and address changing security priorities without requiring customers to replace the underlying decision platform across their portfolios.

Services are projected to expand at a 24.13% CAGR through 2031 as regional carriers and fintech firms seek support for model tuning, threshold management, and compliance reporting. These buyers may lack the internal teams required to operate a complex fraud technology stack. The CAMARA Fall25 release provided stable APIs and certification for managed services. Bharti Airtel, Reliance Jio, and Vodafone Idea launched federated SIM Swap API access at India Mobile Congress 2025, providing service providers with a route to offer multi-operator checks through a single arrangement. Services can accelerate adoption among smaller buyers and help them operate controls that would otherwise be difficult to maintain. Consequently, the SIM swap fraud detection software industry provides opportunities for both scalable platforms and specialized operational support.

Cloud deployment accounted for 61.43% of revenue in 2025 and is projected to expand at a 25.11% CAGR through 2031 in the SIM swap fraud detection software market. Its leading position reflects mobile operators' transition toward cloud-native network functions and the need for low-latency access to common APIs in the SIM-swap fraud-detection software market. Cloud environments can position fraud decisions closer to policy, identity, and transaction services while enabling enterprises to use a single connection across multiple operators. This model can reduce development efforts when banks, payment providers, or marketplaces expand into new territories. Cloud platforms can also distribute model updates without requiring separate software upgrades across each customer environment.

On-premises deployments remain relevant among large operators and regulated organizations that require tighter control over subscriber data. Data residency requirements in European Union jurisdictions and selected Gulf Cooperation Council markets can restrict the locations where organizations process identity-related information. These requirements can make direct control over local infrastructure essential. However, the GSMA stated in its first-quarter 2026 update that the ecosystem was moving toward platform-mediated distribution. This transition supports cloud aggregation among enterprises that prioritize ease of integration and cross-operator access. The SIM swap fraud detection software market remains open to both deployment models, as the choice depends on regulatory obligations, existing infrastructure, and required levels of data control.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • Cloud
  • On-Premises
• By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Application
  • Fraud Detection and Prevention
  • Identity Verification
  • Account Takeover Prevention
  • Authentication and Transaction Risk Assessment
  • Compliance Monitoring
• By End User
  • Mobile Network Operators
  • Banks and Financial Institutions
  • Fintech and Digital Payment Providers
  • E-Commerce and Marketplaces
  • Government and Public Sector
  • Healthcare, Insurance and Other Regulated Enterprises
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • United Kingdom
    • Germany
    • France
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Rest of Asia-Pacific
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa

Geography Analysis

North America accounted for 32.12% of the SIM swap fraud detection software market share in 2025, supported by formal regulations, widespread adoption of digital banking, and established enterprise security procurement practices. Since July 2024, FCC 23-95 has required secure authentication before SIM changes and port-out requests, creating a clear compliance requirement for operators. In March 2026, ATIS described how standardized CAMARA APIs can enable North American operators to package fraud prevention as an intelligence service rather than solely as a network feature. In March 2026, Infobip and T-Mobile formed a partnership that provides enterprise clients with access to SIM Swap and Number Verification APIs through a certified platform. In November 2025, EnStream, a joint venture between Bell Canada, Rogers, and TELUS, partnered with Proximus Global to provide phone number fraud prevention services to Canada's banking ecosystem.

Europe was the second-largest geography in 2025, with demand supported by PSD2 authentication requirements and eIDAS 2.0 provisions. GDPR consent and personal data requirements also influence delivery practices in the SIM swap fraud detection software market. In September 2025, the United Kingdom's four largest operators launched KYC Match APIs, enabling businesses to compare identity details against verified operator records without receiving personal information. Poland and Greece introduced standardized SIM Swap and Number Verification services in early 2026, extending the rollout across Central, Eastern, and Southern Europe. Germany and France remain important country markets due to their high digital banking volumes and large numbers of regulated financial institutions.

Asia-Pacific is projected to expand at a CAGR of 25.21% through 2031, the fastest growth rate among all regions. The region combines a large mobile subscriber base with rising digital payment activity and increasing operator standardization across India, Indonesia, China, and Taiwan. India's three leading operators introduced federated SIM Swap and Number Verification APIs in 2025. By late 2025, the Department of Telecommunications had blocked between 300,000 and 400,000 SIMs for suspected fraud. China Mobile deployed CAMARA-standardized SIM Swap and Device Swap APIs into its fraud-prevention architecture.

1. BICS SA/NV
2. Telesign Corporation
3. Mobileum Inc.
4. Prove Identity, Inc.
5. LexisNexis Risk Solutions Inc.
6. Syniverse Technologies, LLC
7. Infobip Ltd.
8. Twilio Inc.
9. Experian plc
10. TransUnion
11. Equifax Inc.
12. Subex Limited
13. Tata Communications Limited
14. Transaction Network Services, Inc.
15. AdaptiveMobile Security Limited
16. Enea AB
17. Araxxe S.A.
18. Comviva Technologies Limited
19. Equinox Information Systems, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising SIM Swap, Port-Out and Account Takeover Attacks
  • 4.2.2 Expansion of Mobile Network Fraud-Prevention APIs
  • 4.2.3 Regulatory Requirements for Secure SIM Changes and Strong Authentication
  • 4.2.4 Growth of Mobile Banking, Instant Payments and Digital Identity Services
  • 4.2.5 Carrier Data Monetization Through Standardized Network Signals
  • 4.2.6 Real-Time Risk Scoring for Low-Friction Authentication
• 4.3 Market Restraints
  • 4.3.1 Fragmented Access to Mobile Network Data
  • 4.3.2 False Positives and Customer Friction
  • 4.3.3 Privacy, Consent and Cross-Border Data Restrictions
  • 4.3.4 Uneven Operator API Readiness Across Developing Markets
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers Analysis
  • 4.8.2 Bargaining Power of Buyers Analysis
  • 4.8.3 Threat of New Entrants Analysis
  • 4.8.4 Threat of Substitutes Analysis
  • 4.8.5 Competitive Rivalry Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud
  • 5.2.2 On-Premises
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Fraud Detection and Prevention
  • 5.4.2 Identity Verification
  • 5.4.3 Account Takeover Prevention
  • 5.4.4 Authentication and Transaction Risk Assessment
  • 5.4.5 Compliance Monitoring
• 5.5 By End User
  • 5.5.1 Mobile Network Operators
  • 5.5.2 Banks and Financial Institutions
  • 5.5.3 Fintech and Digital Payment Providers
  • 5.5.4 E-Commerce and Marketplaces
  • 5.5.5 Government and Public Sector
  • 5.5.6 Healthcare, Insurance and Other Regulated Enterprises
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 BICS SA/NV
  • 6.4.2 Telesign Corporation
  • 6.4.3 Mobileum Inc.
  • 6.4.4 Prove Identity, Inc.
  • 6.4.5 LexisNexis Risk Solutions Inc.
  • 6.4.6 Syniverse Technologies, LLC
  • 6.4.7 Infobip Ltd.
  • 6.4.8 Twilio Inc.
  • 6.4.9 Experian plc
  • 6.4.10 TransUnion
  • 6.4.11 Equifax Inc.
  • 6.4.12 Subex Limited
  • 6.4.13 Tata Communications Limited
  • 6.4.14 Transaction Network Services, Inc.
  • 6.4.15 AdaptiveMobile Security Limited
  • 6.4.16 Enea AB
  • 6.4.17 Araxxe S.A.
  • 6.4.18 Comviva Technologies Limited
  • 6.4.19 Equinox Information Systems, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment