Market research

Internet of Things in Banking & Financial Services

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360iResearch introduction

IoT Connects Banking Operations, Risk Controls, and Customer Services

The Internet of Things (IoT) in banking and financial services refers to connected devices, sensors, networks, and analytics used to collect and act on operational, physical, and customer-related data. Applications include branch and ATM monitoring, payment authentication, asset tracking, facility management, insurance-linked services, fraud controls, and connected lending. Adoption depends on secure connectivity, reliable data governance, interoperability, privacy protection, and the ability to integrate device data with core banking and risk systems.

Inside the research

Coverage at a glance

Selected branches from the published table of contents. Follow a chapter to explore its complete hierarchy.

  1. Chapter 7 Component

    • Hardware
    • Services
    • Software
    View chapter
  2. Chapter 8 Connectivity Technology

    • Cellular
    • LPWAN
    • Satellite
    • Short Range
    View chapter
  3. Chapter 9 Application

    • Asset Tracking
    • Customer Analytics
    • Fraud Management
    • Payment Solutions
    More in this chapter

Connected Infrastructure Is Reshaping Financial-Service Delivery

Financial institutions are moving from isolated device deployments toward connected operating models that link branches, ATMs, payment terminals, vehicles, commercial assets, and digital channels. This shift can improve maintenance visibility, strengthen physical security, support more contextual services, and reduce manual inspection. It also expands the control environment: institutions must manage device identity, software updates, access permissions, data provenance, outage resilience, and third-party dependencies across a broader technology estate.

Artificial Intelligence Turns Device Data Into Operational Decisions

Artificial intelligence increases the usefulness of IoT by identifying anomalies, prioritizing maintenance, detecting unusual transaction or access patterns, and supporting automated workflow decisions. Machine learning can combine sensor signals with account, location, and historical event data to improve alert quality and reduce unnecessary intervention. These benefits require explainable models, human oversight, robust training data, continuous monitoring for drift, and controls that prevent automated actions from creating unfair outcomes or amplifying cyber incidents.

Regional Conditions Shape IoT Adoption Across Financial Services

North America emphasizes cloud integration, cybersecurity, connected payments, and operational automation within mature financial infrastructures. Latin America is shaped by mobile-first access, branch and ATM efficiency, fraud prevention, and connectivity variation. Europe places strong weight on privacy, resilience, interoperability, and sustainability requirements. The Middle East is advancing digitally enabled banking, smart infrastructure, and secure high-value services, while Africa’s priorities include mobile financial inclusion, agent-network oversight, and dependable connectivity. Asia-Pacific combines advanced digital banking ecosystems with large-scale inclusion initiatives, diverse regulatory environments, and strong demand for connected commerce and payments.

Economic and Security Blocs Create Distinct Implementation Priorities

ASEAN financial institutions must address varied infrastructure, regulatory, and financial-inclusion conditions while building interoperable regional services. BRICS economies combine large domestic markets with differing data, cybersecurity, and payments frameworks. The European Union prioritizes harmonized privacy, digital resilience, and cross-border data governance. G7 institutions generally focus on mature risk controls, advanced analytics, and critical-infrastructure security. GCC markets emphasize smart-city connectivity, premium digital services, and national technology programs. NATO members face heightened attention to cyber resilience, supply-chain assurance, and protection of financial infrastructure from state-linked threats.

Country Context Determines Use Cases, Controls, and Scaling Pathways

Australia emphasizes resilient digital infrastructure, privacy, and remote-service delivery. Brazil and Mexico face strong opportunities in fraud control, mobile services, and distributed access, alongside connectivity and data-governance challenges. Canada, the United States, the United Kingdom, France, Germany, Italy, and Spain are shaped by mature financial systems, rigorous resilience expectations, and established privacy or cybersecurity obligations. China combines extensive digital-platform integration with strong state and data controls. India prioritizes inclusion, identity-linked services, and scalable digital payments. Japan and South Korea emphasize advanced connectivity, automation, and high reliability. Russia’s environment is influenced by domestic infrastructure, cybersecurity, and changing cross-border technology constraints.

Leaders Should Build Secure, Interoperable, and Measurable IoT Programs

Start with narrowly defined use cases tied to measurable outcomes such as reduced downtime, faster incident response, stronger authentication, or improved asset visibility. Establish device inventories, unique identities, secure provisioning, encryption, segmented networks, update processes, and documented ownership before expanding deployments. Integrate IoT governance with model-risk, privacy, business-continuity, and third-party-risk programs. Use interoperable architectures and open standards where practical, test resilience under degraded connectivity, and require transparent performance monitoring for AI-enabled controls. Workforce training and customer communication should accompany technology deployment, particularly where sensor data influences access, pricing, or eligibility decisions.

Methodology Combines Structured Review With Regulatory and Technology Analysis

This executive summary uses a qualitative synthesis of the defined IoT in banking and financial-services scope. The assessment organizes applications across operations, payments, security, risk management, customer services, and connected finance, then evaluates enabling conditions including connectivity, cloud and edge computing, cybersecurity, privacy, interoperability, analytics, and artificial intelligence. Regional, group, and country narratives reflect differences in digital infrastructure, regulatory priorities, financial inclusion, resilience requirements, and implementation maturity. No market estimates, market sizing, market shares, forecasts, or company-specific claims are used.

Responsible Integration Is the Foundation for Connected Finance

IoT can extend financial institutions’ visibility beyond traditional digital channels, enabling more responsive operations, stronger controls, and services informed by real-world activity. Its value is not automatic: fragmented devices, weak governance, opaque analytics, privacy failures, and insecure supply chains can offset operational benefits. Institutions that combine disciplined use-case selection with security-by-design, accountable AI, interoperable architecture, and regionally appropriate compliance will be better positioned to capture durable value from connected financial services.

Research report

Table of contents

  1. 1.Preface
    1. 1.1Objectives of the Study
    2. 1.2Market Definition
    3. 1.3Market Segmentation & Coverage
    4. 1.4Years Considered for the Study
    5. 1.5Currency Considered for the Study
    6. 1.6Language Considered for the Study
    7. 1.7Key Stakeholders
  2. 2.Research Methodology
    1. 2.1Introduction
    2. 2.2Research Design
      1. 2.2.1Primary Research
      2. 2.2.2Secondary Research
    3. 2.3Research Framework
      1. 2.3.1Qualitative Analysis
      2. 2.3.2Quantitative Analysis
    4. 2.4Market Size Estimation
      1. 2.4.1Top-Down Approach
      2. 2.4.2Bottom-Up Approach
    5. 2.5Data Triangulation
    6. 2.6Research Outcomes
    7. 2.7Research Assumptions
    8. 2.8Research Limitations
  3. 3.Executive Summary
    1. 3.1Introduction
    2. 3.2CXO Perspective
    3. 3.3New Revenue Opportunities
    4. 3.4Next-Generation Business Models
    5. 3.5Industry Roadmap
  4. 4.Market Overview
    1. 4.1Introduction
    2. 4.2Industry Ecosystem & Value Chain Analysis
      1. 4.2.1Supply-Side Analysis
      2. 4.2.2Demand-Side Analysis
      3. 4.2.3Stakeholder Analysis
    3. 4.3Market Dynamics
      1. 4.3.1Key Drivers
      2. 4.3.2Key Restraints
      3. 4.3.3Key Opportunities
      4. 4.3.4Key Challenges
    4. 4.4Porter’s Five Forces Analysis
    5. 4.5PESTLE Analysis
    6. 4.6Market Outlook
      1. 4.6.1Near-Term Market Outlook (0–2 Years)
      2. 4.6.2Medium-Term Market Outlook (3–5 Years)
      3. 4.6.3Long-Term Market Outlook (5–10 Years)
    7. 4.7Go-to-Market Strategy
  5. 5.Market Insights
    1. 5.1Consumer Insights & End-User Perspective
    2. 5.2Consumer Experience Benchmarking
    3. 5.3Opportunity Mapping
    4. 5.4Distribution Channel Analysis
    5. 5.5Pricing Trend Analysis
    6. 5.6Regulatory Compliance & Standards Framework
    7. 5.7ESG & Sustainability Analysis
    8. 5.8Disruption & Risk Scenarios
    9. 5.9Return on Investment & Cost-Benefit Analysis
  6. 6.Cumulative Impact of Artificial Intelligence 2026
  7. 7.Internet of Things in Banking & Financial Services Market, by Component
    1. 7.1Introduction
    2. 7.2Hardware
      1. 7.2.1Gateways
      2. 7.2.2Sensors
      3. 7.2.3Wearables
    3. 7.3Services
      1. 7.3.1Integration Services
      2. 7.3.2Support And Maintenance
    4. 7.4Software
      1. 7.4.1Analytics Software
      2. 7.4.2Security Software
  8. 8.Internet of Things in Banking & Financial Services Market, by Connectivity Technology
    1. 8.1Introduction
    2. 8.2Cellular
      1. 8.2.14G
      2. 8.2.25G
    3. 8.3LPWAN
    4. 8.4Satellite
    5. 8.5Short Range
      1. 8.5.1Bluetooth
      2. 8.5.2NFC
      3. 8.5.3Wi-Fi
  9. 9.Internet of Things in Banking & Financial Services Market, by Application
    1. 9.1Introduction
    2. 9.2Asset Tracking
    3. 9.3Customer Analytics
    4. 9.4Fraud Management
      1. 9.4.1Biometric Authentication
      2. 9.4.2Real-Time Analytics
    5. 9.5Payment Solutions
    6. 9.6Risk Management
  10. 10.Internet of Things in Banking & Financial Services Market, by End User
    1. 10.1Introduction
    2. 10.2Banks
    3. 10.3Fintech Firms
    4. 10.4Insurance Companies
  11. 11.Internet of Things in Banking & Financial Services Market, by Region
    1. 11.1Introduction
    2. 11.2Asia-Pacific
    3. 11.3North America
    4. 11.4Latin America
    5. 11.5Europe
    6. 11.6Middle East
    7. 11.7Africa
  12. 12.Internet of Things in Banking & Financial Services Market, by Group
    1. 12.1Introduction
    2. 12.2ASEAN
    3. 12.3GCC
    4. 12.4European Union
    5. 12.5BRICS
    6. 12.6G7
    7. 12.7NATO
  13. 13.Internet of Things in Banking & Financial Services Market, by Country
    1. 13.1Introduction
    2. 13.2United States
    3. 13.3Canada
    4. 13.4Mexico
    5. 13.5Brazil
    6. 13.6United Kingdom
    7. 13.7Germany
    8. 13.8France
    9. 13.9Russia
    10. 13.10Italy
    11. 13.11Spain
    12. 13.12China
    13. 13.13India
    14. 13.14Japan
    15. 13.15Australia
    16. 13.16South Korea
  14. 14.Competitive Landscape
    1. 14.1Market Share Analysis, 2025
    2. 14.2Market Concentration Analysis, 2025
      1. 14.2.1Concentration Ratio (CR)
      2. 14.2.2Herfindahl Hirschman Index (HHI)
    3. 14.3Recent Developments & Impact Analysis, 2025
    4. 14.4Product Portfolio Analysis, 2025
    5. 14.5Benchmarking Analysis, 2025
  15. 15.Company Profiles
    1. 15.1Accenture PLC
    2. 15.2Andersen Inc.
    3. 15.3Armis Inc.
    4. 15.4AT&T Inc.
    5. 15.5Check Point Software Technologies Ltd.
    6. 15.6Cisco Systems, Inc.
    7. 15.7Cognizant Technology Solutions Corporation
    8. 15.8ESDS Software Solution Ltd.
    9. 15.9Fiserv, Inc.
    10. 15.10Huawei Technologies Co., Ltd.
    11. 15.11InfiSIM Limited
    12. 15.12Intel Corporation
    13. 15.13Intellias Global Limited
    14. 15.14International Business Machines Corporation
    15. 15.15Itrex Group
    16. 15.16Kiya.ai
    17. 15.17Matellio Inc.
    18. 15.18SAP SE
    19. 15.19SAS Institute Inc.
    20. 15.20Sierra Wireless by Semtech Corporation
    21. 15.21SRS Live Technologies Private Limited
    22. 15.22Telefonaktiebolaget LM Ericsson
    23. 15.23Thales Group
    24. 15.24Vention Group
  16. 16.Key Experts

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