Internet of Things in Retail Banking-Thematic Research | Akamai, Amazon, Apple, ARM (Softbank), Atmel (Microchip Technology), Broadcom, CalAmp, Cisco

Internet of Things in Retail Banking-Thematic Research

The idea of IoT in banking can feel a lot like a vendor construct "pushed" onto the industry. Connecting "things" to the internet makes more sense for industries that have more "things" to connect (e.g., manufacturing, healthcare, and insurance). Retail banks don't deal in such tangibles. Instead, the opportunity is around the "connected customer"-knowing where they are, and what they're doing, and offering more personalized products and services based on this information.

Long-term, entirely new levels of contextual guidance become possible. For example, the second a customer enters a car lot or their favorite retail park, a bank could notify them of how much money they can borrow, and at what rate. Medium-term, as the concept of connected cities comes to fruition, banks could send a warning to avoid certain retailers where they typically over-spend. Banks could even automate day-to-day account management based on declared goals and sensors to optimize financial outcomes for customers, all of which goes toward helping banks establish themselves as the "trusted advisor" in the move to open banking.

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Companies Profiled in this report includes: Akamai, Amazon, Apple, ARM (Softbank), Atmel (Microchip Technology), Broadcom, CalAmp, Cisco, Ericsson, F5 Networks, General Electric (GE), Google, IBM, Infoblox, Intel, Microchip, Microsoft, NXP/ Freescale, Qualcomm, Samsung, SAP, Software AG, Splunk, AlertMe, Arqiva, Arrayent, August, Ayla Networks, Balyo, Belkin, BigBelly, Canary, DroneShield, Electric Imp, Evrythng, Fitbit, Libelium, Neul, Nordic Semi-conductor, Oort, Tado, Thingsquare, Bank of America, Citibank, US Bank, Intelligent Environments., Monzo, Starling Bank

Most banks are already well underway with the big, multi-year transformation projects around cloud and big data analytics (BDA) to enable such experiences, but IoT will make the data aspect of that much harder. Data types where source-complexity and formats hinder consumption, for example, require new skill sets and new analytical techniques to discern trends. The volume of data-and the velocity of it-will mean new data warehousing and cloud programs.

Scope

-This report analyses the impact of internet of things on retail banking.

-The report offers a framework in which to look at IoT, summarizes the important trends and identifies the key players.

-It analyses the opportunities around the "connected customer" for retail banks-knowing where they are, and what they're doing, and offering more personalized products and services based on this information.

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Reasons to buy

-The report highlights some of the big players in IoT and where do they sit in the value chain.

-It looks at the technology trends within the IoT value chain as well as trends showing how the IoT is being implemented across the global retail banking sector.

-The report splits the value chain for IoT into four layers-devices, connectivity, data and control.

-It discusses the impact of IoT on retail banks, offering key recommendations for retail banks and IT vendors.

-It provides a technology briefing by analysing the six big IoT market segments and navigating the IoT value chain.

Table of Content:

PLAYERS 3

TRENDS 4

Technology trends in IoT 4

IoT trends in retail banking 8

VALUE CHAIN 10

Device layer 11

Connectivity layer 12

Data layer 14

App layer 15

INDUSTRY ANALYSIS 16

The standards battle 16

Market size and growth forecasts 20

The four stages of IoT development 23

Competitive analysis 23

Mergers and acquisitions 24

Timeline 26

IMPACT OF IOT ON RETAIL BANKS 28

Key recommendations for retail banks 28

Key recommendations for IT vendors 29

COMPANIES SECTION 31

Public tech companies 31

Private tech companies 35

Retail banks 37

TECHNOLOGY BRIEFING 38

The six big IoT market segments 38

Navigating the IoT value chain 40

GLOSSARY 41

APPENDIX: OUR "THEMATIC" RESEARCH METHODOLOGY 42

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