통신 사기 인텔리전스 플랫폼 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the telecom fraud intelligence platforms market size is projected to expand from USD 1.25 billion in 2025 to USD 1.44 billion in 2026, and to USD 2.87 billion by 2031, registering a CAGR of 14.79% between 2026 and 2031.

This report is Segmented by Component (Software, and Services), Deployment Mode (Cloud, and More), Application (Revenue Protection, Identity Verification, and More), End User (Mobile Network Operators, and More), Organization Size (Large Enterprises, and More), Technology (Natural Language Processing, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Telecom Fraud Intelligence Platforms Market Trends and Insights

Expansion of 5G, IoT, and Cloud-Native Signaling Surfaces

The move from monolithic cores to a 5G standalone, service-based architecture has changed how operators assess fraud exposure. HTTP/2 and REST APIs connect core functions and create abuse patterns that differ from traditional SS7 attacks and legacy signaling firewall controls. These interfaces require platforms that can assess REST semantics, JSON payloads, OAuth flows, call detail records, signaling events, and changing relationships between core network functions. Operators are incorporating packet-core, service-based architecture, and RAN telemetry as they build fraud-detection baselines for 5G networks and compare normal activity with new forms of abuse. The Telecom Fraud Intelligence Platforms Market benefits as operators place detection closer to network functions, rather than relying solely on billing records that may identify issues only after traffic has occurred. This supports demand for systems that normalize diverse telemetry, correlate related events, and identify anomalies without the multi-day delays associated with batch-processing tools.

Rising Subscription, Identity, and Account Takeover Fraud

The CFCA recorded USD 5.31 billion in subscription fraud losses and USD 4.73 billion in account takeover losses in 2025. Cifas recorded nearly 3,000 unauthorized SIM swaps in 2024, an increase of 1,055%, with mobile accounts accounting for 48% of account takeover cases. A compromised mobile identity can also affect bank accounts, two-factor authentication systems, healthcare portals, and other services that rely on a phone number for account recovery. This broadens the liability associated with a SIM swap beyond an operator's direct service revenue, making prompt verification more important for downstream organizations. The GSMA is promoting standardized fraud-prevention APIs for SIM swap detection, call-forwarding monitoring, and scam intelligence through the Open Gateway and CAMARA frameworks. The Telecom Fraud Intelligence Platforms Market can benefit when operators offer subscriber identity intelligence as an enterprise API product with clear controls over data access and use.

Legacy Data Silos and Inconsistent CDR and Signaling Data Quality

The main obstacle for many operators is fragmented data, rather than a lack of fraud algorithms. Call detail records, signaling events, provisioning data, billing transactions, and customer account updates often remain in separate OSS and BSS environments, each built for different operational purposes. That structure makes it harder to build the cross-domain behavioral profiles that machine learning models require, and it can delay the confirmation of a suspected fraud event. The 2025 GLF report described widespread international revenue-share fraud exposure and a limited ability to automate route blocks using near-real-time data. Unifying records from separate mediation systems in a streaming layer can reduce the time needed to identify, assess, and escalate suspicious activity across operational teams. The Telecom Fraud Intelligence Platforms Market faces longer adoption cycles, particularly when multi-vendor modernization programs have not yet started or when data ownership remains divided across departments.

Other drivers and restraints analyzed in the detailed report include:

1. Increasing Real-Time Revenue Protection Requirements
2. Interconnect Bypass and Messaging Fraud Intelligence Gaps
3. Privacy, Data Residency, and Cross-Border Intelligence Constraints

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

Segment Analysis

Software held 68.38% of the Telecom Fraud Intelligence Platforms Market share in 2025. This position reflects procurement models that integrate detection logic, behavioral scoring, case workflows, and reporting controls into a single operating platform. Vendors are adding autonomous investigation tools, real-time scoring, explainable AI functions, and rule governance features to their software. These features can reduce dependence on external services for model tuning, threshold setting, case management, and routine analyst review. They also make it easier for operators to apply new detection logic across multiple fraud use cases. The Telecom Fraud Intelligence Platforms Market is therefore moving toward products that support continuous operational use rather than isolated projects, because operators need systems that can be updated as fraud patterns, network services, regulatory expectations, and internal investigation practices evolve.

Services are projected to expand at a 15.68% CAGR through 2031. Managed fraud operations, threat intelligence feeds, model adaptation services, implementation support, and specialist analyst support remain important for operators with limited AI and security expertise. The CFCA found that 84% of respondents described their AI knowledge and experience as beginner or intermediate in 2025. This skills gap creates a role for providers that can help operators interpret alerts and refine controls after deployment. Modular platforms for handset fraud, subscription abuse, and international revenue-share fraud are gaining traction among digital-native mobile virtual network operators. Subex introduced FraudZap in 2025 to enable handset fraud deployment in days rather than months, illustrating interest in offerings that reduce the delivery burden for operators who cannot wait for extensive platform configuration.

Cloud deployment held 58.14% of the market share in 2025. Elastic processing, continuous model updates, lower infrastructure investment, and cross-operator intelligence aggregation support cloud adoption. Cloud platforms also allow operators to scale analysis as traffic volumes, event types, and network functions increase. This model can give fraud teams access to current detection capabilities without requiring them to maintain the same level of local computing capacity. The Telecom Fraud Intelligence Platforms Market benefits from this flexibility as 5G and IoT services generate more network data. However, local privacy rules can limit the movement of subscriber data within regional cloud environments, so cloud implementation decisions often require detailed review by network, security, privacy, and legal teams before data flows are established.

Hybrid deployment is projected to expand at a 16.32% CAGR through 2031. The model addresses the tension between cloud-scale analytics and data sovereignty requirements in Europe, India, China, and Gulf Cooperation Council markets. Operators assess data sovereignty, latency, data gravity, and operational readiness when deciding where to place telecom AI workloads. On-premises installations remain relevant for regulated tier-1 operators and signaling functions that cannot tolerate wide-area network latency. Hybrid systems can score events at the edge while sending anonymized intelligence to the cloud for broader threat correlation. This approach gives operators greater control over sensitive subscriber records while retaining access to scalable processing resources, and it lets them separate functions that require immediate local action from analytical workloads that can run in a cloud environment.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • Cloud
  • On-Premises
  • Hybrid
• By Application
  • Revenue Protection
  • Identity Verification
  • Payment Security
  • Network and Signaling Monitoring
  • Regulatory Compliance
  • Other Applications
• By End User
  • Mobile Network Operators
  • Fixed-Line and Broadband Providers
  • Internet Service Providers
  • Mobile Virtual Network Operators
  • Wholesale Carriers and Interconnect Hubs
  • Other End Users
• By Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Technology
  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Big Data Analytics
  • Other Technologies
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America held 34.12% of the Telecom Fraud Intelligence Platforms Market share in 2025. The region has a high concentration of cloud-native fraud intelligence vendors, substantial telecom spending, and strong regulatory enforcement. The FCC adopted enhanced Know Your Upstream Provider rules and STIR/SHAKEN attestation standards in May 2026. The Robocall Mitigation Database annual recertification deadline of March 1, 2026, also extended compliance requirements to smaller voice service providers. Canada and Mexico add regional demand through interconnect security and consumer-protection frameworks.

Europe was the second-largest regional position, led by Germany, the United Kingdom, France, Italy, and Spain. Cifas reported that identity fraud and facility takeover accounted for 72% of cases filed by members in 2025, and identified telecoms as the main target for account takeover involving mobile products. Scandinavian markets are investing in AI-driven signaling firewall upgrades as 5G standalone networks introduce SEPP and API exposure. NIS2 raises network-security obligations for essential service providers, including telecom operators, while GDPR supports deployment models that meet European data residency needs.

Asia-Pacific is projected to expand at a 16.92% CAGR from 2026 to 2031, making it the fastest-growing region. Its mobile subscriber base exceeded 3.7 billion, and large 5G programs in China, India, South Korea, and Japan increase the scale of fraud exposure. China's Cybersecurity Law requires subscriber identity verification and data protection, while India has applied zero-tolerance SMS spam policies. South America, the Middle East, and Africa remain high-potential regions where fraud losses are rising faster than platform adoption. South Africa lost more than ZAR 5.3 billion, USD 290 million, to cybercrime in 2025, and Gulf operators are investing as part of 5G transformation programs.

1. Subex Limited
2. Mobileum, Inc.
3. Araxxe SAS
4. TEOCO Corporation
5. Telarix, Inc.
6. Heksagon Technologies Ltd.
7. Cellusys Limited
8. upCOM Labs LLC
9. Amdocs Limited.
10. TransNexus, Inc.
11. Tollring Limited
12. Nokia Corporation
13. Calltic NV
14. Mobik d.o.o.
15. SecurityGen Cyber Security Solutions PTE. LTD.
16. Enea AB
17. Belgacom International Carrier Services SA
18. Zumigo, Inc.
19. Syntelligence AI Inc.
20. Tango Telecom Limited
21. Latro Services, Inc.
22. Comviva Technologies Limited
23. Vonage Holdings Corp.
24. Socure 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 Expansion of 5G, IoT, and Cloud-Native Signaling Surfaces
  • 4.2.2 Rising Subscription, Identity, and Account-Takeover Fraud
  • 4.2.3 Increasing Real-Time Revenue Protection Requirements
  • 4.2.4 Interconnect Bypass and Messaging Fraud Intelligence Gaps
  • 4.2.5 Fraud Intelligence for Programmable Networks and API Exposure
  • 4.2.6 Operator Demand for Autonomous, Explainable Fraud Investigation
• 4.3 Market Restraints
  • 4.3.1 Legacy Data Silos and Inconsistent CDR and Signaling Data Quality
  • 4.3.2 Long Telco Procurement and Integration Cycles
  • 4.3.3 Privacy, Data-Residency, and Cross-Border Intelligence Constraints
  • 4.3.4 Adversarial Adaptation and False-Positive Fatigue
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

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
  • 5.2.3 Hybrid
• 5.3 By Application
  • 5.3.1 Revenue Protection
  • 5.3.2 Identity Verification
  • 5.3.3 Payment Security
  • 5.3.4 Network and Signaling Monitoring
  • 5.3.5 Regulatory Compliance
  • 5.3.6 Other Applications
• 5.4 By End User
  • 5.4.1 Mobile Network Operators
  • 5.4.2 Fixed-Line and Broadband Providers
  • 5.4.3 Internet Service Providers
  • 5.4.4 Mobile Virtual Network Operators
  • 5.4.5 Wholesale Carriers and Interconnect Hubs
  • 5.4.6 Other End Users
• 5.5 By Organization Size
  • 5.5.1 Large Enterprises
  • 5.5.2 Small and Medium Enterprises
• 5.6 By Technology
  • 5.6.1 Machine Learning and Deep Learning
  • 5.6.2 Natural Language Processing
  • 5.6.3 Big Data Analytics
  • 5.6.4 Other Technologies
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Chile
    • 5.7.2.4 Rest of South America
  • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Rest of Europe
  • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 Japan
    • 5.7.4.3 India
    • 5.7.4.4 South Korea
    • 5.7.4.5 Australia
    • 5.7.4.6 Rest of Asia-Pacific
  • 5.7.5 Middle East
    • 5.7.5.1 United Arab Emirates
    • 5.7.5.2 Saudi Arabia
    • 5.7.5.3 Qatar
    • 5.7.5.4 Rest of Middle East
  • 5.7.6 Africa
    • 5.7.6.1 South Africa
    • 5.7.6.2 Egypt
    • 5.7.6.3 Nigeria
    • 5.7.6.4 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 Subex Limited
  • 6.4.2 Mobileum, Inc.
  • 6.4.3 Araxxe SAS
  • 6.4.4 TEOCO Corporation
  • 6.4.5 Telarix, Inc.
  • 6.4.6 Heksagon Technologies Ltd.
  • 6.4.7 Cellusys Limited
  • 6.4.8 upCOM Labs LLC
  • 6.4.9 Amdocs Limited.
  • 6.4.10 TransNexus, Inc.
  • 6.4.11 Tollring Limited
  • 6.4.12 Nokia Corporation
  • 6.4.13 Calltic NV
  • 6.4.14 Mobik d.o.o.
  • 6.4.15 SecurityGen Cyber Security Solutions PTE. LTD.
  • 6.4.16 Enea AB
  • 6.4.17 Belgacom International Carrier Services SA
  • 6.4.18 Zumigo, Inc.
  • 6.4.19 Syntelligence AI Inc.
  • 6.4.20 Tango Telecom Limited
  • 6.4.21 Latro Services, Inc.
  • 6.4.22 Comviva Technologies Limited
  • 6.4.23 Vonage Holdings Corp.
  • 6.4.24 Socure Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment