IOT PLATFORMS MARKET REPORT 2018-2023 · IOT PLATFORMS MARKET REPORT 2018-2023 Enterprise User Edion In-depth market report sizing the opportunity of the fast growing IoT Pla orms

Market Report | June 2018

IOT PLATFORMS MARKET REPORT 2018-2023Enterprise User Edition

In-depth market report sizing the opportunity of the fast growing IoT Platforms market. The 193-page report includes market forecasts to 2023 across 7 regions, 11 industry segments, 5 IoT platform types, 4 deployment types and 2 revenue types. The market share of 20 leading vendors is provided as well as the main challenges, adoption barriers, and trends currently shaping the IoT Platforms market.

ii 2018 IoT Analytics. All rights reserved. ii

IOT PLATFORMS MARKET REPORT2018-2023

Date: June 2018

Author: Padraig Scully

iii 2018 IoT Analytics. All rights reserved. iii

Table of ContentsEXECUTIVE SUMMARY

2016-2018 IoT Deployments xiiGeneral IoT Developments xii

xiixii

1. Overall market environment2. IoT Connectivity-related developments3. IoT hardware-related developments xiii

IoT Platform & software developments xiii

1 Introduction to IoT Platforms 11.1 Role of IoT platforms in the IoT 11.2 Definition of IoT platforms 5

2 Technical Overview 62.1 Technology segmentation 6

2.1.1 Connectivity platforms 82.1.2 Device management platforms 112.1.3 Cloud platforms (IaaS backends) 152.1.4 Application Enablement Platforms 182.1.5 Advanced analytics platforms 22

2.2 Hosting environment 252.2.1 On-premise (data center) 252.2.2 Private cloud (hosted) 252.2.3 Public cloud 262.2.4 Hybrid cloud 282.2.5 Multi cloud 28

2.3 Application deployment architecture 292.3.1 Monolithic 292.3.2 Microservices 312.3.3 Self-contained systems 33

2.4 Security elements of the platform 352.5 Role of edge computing 372.6 Role of digital twins 392.7 Role of Interoperability and Standardization 41

3 Market Analysis 463.1 Market characteristics overview 463.2 Overall market 473.3 Market by segment 48

3.3.1 Overview 483.3.2 Manufacturing 49

iv 2018 IoT Analytics. All rights reserved. iv

3.3.3 Smart energy 523.3.4 Smart supply chain 553.3.5 Transportation 583.3.6 Connected car 613.3.7 Connected building 643.3.8 Public services 673.3.9 Connected health 703.3.10 Smart agriculture 733.3.11 Retail 763.3.12 Other 79

3.4 Market by technology 823.4.1 By platform type 823.4.2 By deployment type 833.4.3 By revenue type 84

3.5 Market by region 853.5.1 Regional deep-dive: Asia 863.5.2 Regional deep-dive: Europe 873.5.3 Regional deep-dive: North America 883.5.4 Regional deep-dive: Other 89

4 Competitive Landscape 904.1 Overview 904.2 General Vendor Landscape 90

4.2.1 Competitive intensity 904.2.2 Fragmentation & Growth 91

4.3 Market share by solution provider 944.3.1 Leading Cloud players 954.3.2 Leading AEP players 964.3.3 Leading Device Management players 974.3.4 Leading IoT Platforms in other tech stack elements 97

4.4 Role of open source vendors/communities 984.5 Role of certain industries 104

4.5.1 Telecommunications 1044.5.2 Industrial automation 1064.5.3 System integrators 108

4.6 Funding/investment activity 1124.7 M&A activity 115

5 IoT Platform Business Models 1175.1 Overview 1175.2 Selected market strategies 117

5.2.1 Horizontal platforms 117

v 2018 IoT Analytics. All rights reserved. v

5.2.2 Vertical platforms 1185.3 Bringing an IoT platform to market 119

5.3.1 Time to profitability (critical mass) 1195.3.2 Key success factors 1205.3.3 Key measures to get traffic on the platform 1225.3.4 Attracting and convincing customers to use the platform 1235.3.5 Defining and measuring success 125

5.4 Closed vs. open platforms 1275.4.1 Third party offerings on the platform 1275.4.2 Platform extensibility 1305.4.3 Ownership of the IoT Application and Data 131

5.5 Platform collaboration 1325.6 Sales approach 135

5.6.1 Sales channels 1355.6.2 Types of selling 1365.6.3 Initial sales targets 137

5.7 IoT implementation and consulting services 139

6 Market trends and challenges 1416.1 Five trends for IoT platforms 141

6.1.1 Increased integration of edge architectures and edge computing 1416.1.2 Platforms increasingly supporting AI 1446.1.3 Increasing demand for IoT professional services 1466.1.4 Slow but continuous market consolidation 1476.1.5 Other technology trends with an effect on IoT Platforms 149

6.2 Customer perspective and needs 1536.2.1 Platform selection & evaluation 1546.2.2 Choosing a lead vendor and understanding their partnership ecosystem 1586.2.3 Most important customer needs 159

6.3 Challenges / adoption barriers 161

Appendix 163A. Market definition, methodology and sizing 163B List of exhibits 166C. List of Tables 170D. List of Acronyms 172

About 176Selected recent publications 176Upcoming publications 177Subscription 177Newsletter 177Author 178Copyright 179

ii© 2018 IoT Analytics. All rights reserved. ii

201 2018 I T T

2016-2018 IoT developmentsThis cha ter resents an overvie o the high level trends that have sha ed the overall IoT and IoT la or s

ar et in the last 2 years.

GENERAL IOT DEVELOPMENTS

1. Overall market environment

IoT slowly maturing through many pilot projects and small deployments. IoT contin es to e ainly a

ar et o ilot ro ects and s all de loy ents and is there ore alling rther ehind the orecasts large tech

r s and so e other analysts had in the last years i.e. reaching 0 n or even 0 n connected devices y

2020 is not easi le any ore at this oint .

Smart City projects lead the way. es ite the slo er than e ected ar et develo ent a s all set o IoT

se cases are nearing at rity. In artic lar s art city ro ects or tra c anage ent s art ar ing s art

etering and s art lighting are a ong the ost at re ollo ed y connected sol tions in the elds o

connected ind stry and connected ilding.

Steady growth. The IoT ar et is c rrently gro ing et een 0 and 0 ith higher gro th in the so are

seg ent and lo er in hard are. These high gro th rates are orecast to ersist or at least another 12 18

onths as the ain o stacles to IoT ado tion re ain nsolved in the short ter . Intero era ility ec rity

rivacy siness ase I on the end ser side .

2. IoT Connectivity-related developments

Large roll-outs of licensed low-power technologies. icensed technologies are c rrently eing rolled o t and

the rst co ntries are oving to ards national coverage. IoT in artic lar see s to e s reading at a ast

rate. In ro e IoT net or s have een set in di erent co ntries e.g. Ireland oda one Italy TI

er any e tsche Tele o . These de loy ents have ty ically een rst set in etro olitan areas and

are grad ally eing rolled o t across the co ntry. ational coverage is e ected in any ro ean co ntries

in 2018 driven y teleco o erators s ch as oda one and e tsche Tele o .

1 2018 IoT Analytics. All rights reserved. 1

1 Introduction to IoT Pla ormsThe Internet of Things is an increasingly important technology element for companies of nearly all sectors

and around the world. For many firms it has become one of the pillars of their digitalization strategy ,

promising the enablement of new business cases such as predictive maintenance, eet management,

infrastructure monitoring or analytics-based process optimization. One of the biggest driving forces right

now is that connected IoT technology is being increasingly built into everyday products. Everything from

bicycles, clothing to standard household appliances are being fitted with sensors and connected to the

internet enabling new value creation opportunities. In addition, cars, buildings, machines, and even entire

cities are becoming part of a network-enabled ecosystem of things. As part of these connected solutions few

companies today build the whole solution themselves from scratch. Rather, IoT (software) platforms have

emerged as a crucial enabling element. For companies deploying connected solutions (or building connected

operations), choosing a platform that is easy-to-use, comes with the right features and provides end-2-end

security has become a topic of ma or strategic importance.

1.1 Role of IoT pla orms in t e IoT

There are four ma or technological building blocks of IoT To understand the role of IoT platforms in the

Internet of Things, it is important to relate to the IoT technology stack. On a high level, four ma or technological

building blocks of IoT exist hardware, communication, software backend, and applications. Security is an

additional element that is so important it needs to be mentioned as a foundation for each of the four blocks.

E HIBIT 1: Central building blocks of IoT - IoT platforms are part of the central software backend in the IoT infrastructure. (Source: IoT Analytics)

SAMPLE


1 Hardware: Every IoT solution has a device layer where physical hardware hosts sensors, microchips, and

connectivity modules and in some cases has optional capabilities for storage, manageability, analytics

and security. In most cases the physical device itself, whether powered by battery or plugged in to the

mains, produces data and on a high level can be classified as a simple or smart device:

• Simple Devices: A simple device is an electronic device connected to a network (or other devices),

typically via wireless protocols (e.g., iFi, M TT, etc.), that can be to some extent controlled

remotely to perform instant actions and transmit generated data. Typically, simple devices have

constrained resources, low hardware costs, basic connectivity, basic security/identity, and no/light

manageability. A typical example of a device classified as a simple device is a connected lightbulb

with a microcontroller (MCU).

• Smart Devices: A smart device refers to a network-enabled electronic device with added capabilities

for local compute, storage, edge analytics and time-sensitive decision making for the generated data.

There are different levels of smartness in devices that typically maximize security, manageability,

interoperability for increased solutions reliability and reduced bandwidth costs. In many cases, cloud

enabled smart devices are e uipped with a microprocessor (MPU) and a natural user interface. A

typical example of a device classified as a smart device is a smart connected vending machine.

• IoT gateways: Other devices in IoT network architectures that can be classified as a smart device

include hardware gateways or other edge processing devices such as PLCs. They are an important

element in terms of edge and security configuration.

2 Communication: The communication part of the technology infrastructure ensures the hardware

is connected (e.g., via proprietary or open-source communication protocols) to the network and the

software backend. Multiple communication protocols are re uired across 4 layers:

• 1 Network access and physical layer: IoT network technologies such as Bluetooth, iFi, Ethernet,

cellular, satellite and more specialized solutions like LP AN, Bluetooth, igBee, and RFID.

• 2 Internet layer: IoT network technologies such as IPv6, 6Lo PAN, and RPL.

• 3 Transport layer: IoT network technologies such as UDP and TCP.

• 4 Application layer: IoT network technologies such as RESTful HTTP, HTTPS and messaging protocols

like M TT, AM P, CoAP and MPP.

SAMPLE


Network operators offer both long range / low bandwidth networks (e.g., Sigfox, eightless, LoRa, LTE-M,

NB-IoT) and long range / high bandwidth networks (e.g., GSM, CDMA, LTE, iMax, M2M, 5G) as well as

satellite and fixed networks. In addition, there is a short range mix of networks available (e.g., BLE, iFi,

-wave, igBee, Thread).

E HIBIT 2: The technology architecture of the Internet of Things. (Source: IoT Analytics)

3 So ware backend: IoT solutions re uire a middleware and software backend to ingest, store, manage

and transform data to be used in applications. These tasks can be performed through self-programmed

proprietary code, through the use of modular or open-source software elements and increasingly through

IoT Platforms that promise to bring most or all re uired elements out of the box, thereby reducing the

need to reinvent basic logic. Generally, these IoT platforms are deployed on a private cloud, public cloud

or a hybrid of both. Standardized IoT platform offerings can typically be enhanced with additional custom

code and add-on features which are often built on-top of middleware to enhance platform capabilities.

See Chapter 2 for a more detailed technical specification of IoT platforms.

4 Applications: Applications present the IoT use case to the end-user (B2C or B2B) enabling interaction

with the physical world. Typically, these applications combine data from real world IoT devices and other

sources to give an overview or perform specific tasks. Apps bring the solution to life and can run on

devices/things or smartphones, tablets, PCs for human interaction.

SAMPLE


5 Security: IoT security happens on 4 different layers: device, communication, cloud, and lifecycle

management. These layers work in unison combining security solutions across the stack such as security

chips, message encryption, disk encryption, user authentication and access control. This multi-layered

security approach seamlessly works together to provide complete end-to-end security from device to

cloud and everything in between throughout the lifecycle of the solution.

IoT platforms modularize and standardize IoT solution architecture: The technology architecture of IoT

platforms is currently far from being homogenized or accurately defined. In fact, the technology architecture

is rapidly evolving with hundreds of different hardware units, connection protocols, low-level software

languages, and an increasing number of applications re uiring interoperability throughout the IoT ecosystem.

IoT platforms aim to address this diversity with a modular and standardized approach. However, it remains a

relatively young infrastructure that has yet to come of age.

Today IoT platforms are recognized as a crucial element linking the physical to the digital world ith a

potential billion-dollar market up for grabs, many companies are now offering IoT platforms (or elements

thereof) and are striving to become the dominant platform for the IoT. Much like other new technologies

that formed in the last 30 years, platforms that secure an early advantage may dominate the market later

on due to network effects. (e.g., xxx.)

SAMPLE


1.2 De nition of IoT pla orms

IoT Platforms are a piece of modular software technology that enable solutions for IoT device connectivity,

device management, data management in the cloud, application development and enablement, advanced

analytics, and even cybersecurity solutions for connected IoT devices. For this report, IoT platforms can

be dissected into 5 parts: 1. Connectivity platforms, 2. Device Management platforms, 3. Cloud backend

platforms, 4. Application Enablement platforms, and 5. Advanced analytics platforms. Note: The focus of this

report is on Device Management, Cloud Backend, and Application Enablement platforms.

1 Connectivity platforms: are a form of Platform-as-a-Service that offer coverage capabilities and solutions

for connecting the IoT device, managing and orchestrating connectivity, and provisioning communication

services for connected IoT devices.

2 Device management platforms: are a form of Platform-as-a-Service (or device cloud) that handle

provisioning tasks to ensure connected devices are deployed, configured, and kept up-to-date with

regular firmware/software updates.

3 Cloud platforms IaaS backends : are a form of Infrastructure-as-a-Service that offer a scalable enterprise-

grade backend for data management of IoT applications and services.

4 Application Enablement Platforms AEPs : are a form of Platform-as-a-Service that also offer Software-

as-a-Service solutions enabling developers rapidly create, test, and deploy an IoT application or service.

5 Advanced analytics platforms: are a form of Platform-as-a-Service that also offer Software-as-a-Service

solutions for sophisticated analytics tools including machine learning techni ues and streaming analytics

capabilities to extract actionable insights from IoT data.

Ot er IoT pla orms

• Security platforms: are a form of Platform-as-a-Service that offer advanced cybersecurity solutions

across the stack from device, secure communication, secure IoT cloud to secure lifecycle management.

Security platforms are beyond the scope of this report, for more research on security platforms check out

our dedicated market report IoT security report or our list of 150 security platforms.

See Chapter 2.1 Technology segmentation for a more detailed breakdown of IoT platforms and their main

components.

SAMPLE

https://iot-analytics.com/product/iot-security-market-report-2017-22/

https://iot-analytics.com/product/list-of-150-iot-security-companies/


2 Tec nical OverviewThis chapter provides an overview of the fundamental technological components of an IoT platform, the

hosting environment and application deployment architecture options, and describes the role of edge

computing and digital twins before introducing interoperability, standardization, security and other elements

of an IoT platform. Understanding these components and concepts is vital to fully comprehend the differences

between IoT platforms on the market.

2.1 Tec nolo y se mentation

E HIBIT 3: The 5 types of IoT platform and their elements. (Source: IoT Analytics)

SAMPLE


3 Market AnalysisThis chapter presents analysis of the IoT platforms market including a total market forecast to 2023. The

analysis includes breaking down the market into 11 industry segments and presents market sizing by region

with three regional deep-dives, market size by technology (platform type, deployment type), and market size

by type of revenue (platform v services).

3.1 Market c aracteristics overview

2017 is the base year for estimates of the IoT Platform market, with the overall market value reaching xxx.

The IoT Platform market is expected to be xxx billion by the end of xxx and forecast to grow to almost

xxx. However, the market remains fragmented with many players competing for market share. Signs of

consolidation are only slowly appearing with a number of ac uisitions and mergers in the past year e.g.,

xxx IoT platforms were ac uired in 2017 compared to ust xxx in 2013. The fact that this market was more

or less non-existent 5 years ago means most platforms are only a few years old and the nascent market is

currently full of early phase IoT pro ects. IoT Analytics recent research shows proof of concepts, pilot

pro ects and small-medium scale deployments account for xxx of identified enterprise IoT pro ects.

Nevertheless, some platforms are now supporting larger roll-outs such as xxx connecting thousands of xxx.

Platforms are also becoming more mature, with differentiation no longer lying in the big modules

(e.g., whether they support analytics or device management) but rather in some smaller aspects such as

support some specific protocols, having a great user interface or an implementation team with the right

know-how.

SAMPLE


3.2 Overall market

E HIBIT 4: Global IoT Platforms Market 2017-2023. (Source: IoT Analytics)

The growth of the IoT Platform market through 2023 is presented in Exhibit 4. In 2016 the IoT

platforms market amounted to xxx and grew at xxx to become a xxx market in 2017 with larger

cloud players gaining good traction as the backend to many new IoT implementations and smaller IoT

platform vendors launching many small deployments. As the market slowly matures, the worldwide

CAGR for the market through the next six-year period is expected to be xxx growing to become an

almost xxx market by 2023. At this growth rate, IoT platforms are one of the fastest growing technology

markets in the world.

SAMPLE


3.3 Market by se ment

3.3.1 Overview

E HIBIT 5: Global IoT Platforms Market 2017-2023 by Segment. (Source: IoT Analytics)

The growth of individual segments of the market will vary from xxx for Industry x to xxx for Industry x

and Industry x over the six-year period. Industry x, estimated at xxx in 2017, is expected to remain

the biggest IoT Platform segment by 2023 surpassing xxx. Industry x with a growth rate of xxx is the

fastest growing segment for IoT platforms. Early growth segments Industry x and Industry x are

expected to level off while Industry x is forecast to experience high growth (xxx ) from 2020. Industry

x, Industry x, and Industry x are expected to have less momentum experiencing lower growth

rates between xxx and xxx .

SAMPLE


Competitive Landscape

.1 Overview

Over the last five years the IoT Platforms market has become crowded with players from different backgrounds

(such as IT, industrial automation, connectivity, etc.) entering the market. An analysis IoT

Analytics performed in uly 2017 revealed that there are now 450 competitive offerings in the market

spread over the 5 main categories explained in chapter 2. Even though the analysis for that report

has not been updated yet it would be fair to assume that we are close to xxx now. This

chapter gives an introductory overview and estimates for market share by solution provider

(cloud, AEP, Device Management, Connectivity, Analytics). For a complete deep-dive and comparison

of the top 20 vendors including individual vendor differentiators, customer feedback, pricing overview,

ecosystem, etc. check out the IoT platforms vendor comparison report.

.2 General Vendor Landscape

.2.1 Competitive intensity

E HIBIT 35: IoT Analytics identified 450 IoT platforms companies in the market in 2017. (Source: IoT Analytics)

SAMPLE

https://iot-analytics.com/product/iot-platforms-vendor-comparison-2018


IoT Pla orm Business Models

.1 Overview

This chapter presents IoT platform business models taking into account selected market strategies, how

to bring a platform to life, the openness and collaborative nature of the platform. In addition, this

research examined the sales approach, the IoT services provided, and the ability to white label the

platform.

.2 Selected market strate ies

Horizontal, diagnostic IoT platforms are maturing and have gained significant market share over vertical,

industry-specific platforms. This section outlines both horizontal and vertical strategies.

.2.1 Hori ontal platforms

Horizontal platforms provide the tools for design development management and security that allow

developers from all industries to quickly build and run their IoT applications The motivation behind

a horizontal strategy is to foster rapid growth and innovation in IoT by allowing multiple providers from

different industries to work on the same platform within a common framework. To-date it

is mostly large cloud backend vendors such as xxx and xxx that have embraced the horizontal

platform strategy. The concept is that by making these crucial resources (e.g., the middleware

for cloud databases and application enablement) something that can be assumed to be in place and

have known, open, and well-documented functionality, customers can concentrate their efforts on

creating innovate IoT devices and services. Furthermore, by working within a common framework,

those IoT devices and services can more easily be intertwined (i.e., share information and resources)

and could serve multiple applications instead of only one. The horizontal approach aims to make

innovation in IoT easier by enabling rapid proliferation of new applications and businesses, however it

needs to gain considerable traction before it can pay off on its promises. There needs to be a lot of

integration points (e.g., open APIs and protocol gateways) in place before third-party developers can

count on having an ade uate market to serve. Such an open and vast horizontal

SAMPLE


6 Market trends and c allen es

6.1 Five trends for IoT pla orms

This section introduces the five trends currently shaping the IoT platforms market.

6.1.1 Increased inte ration of ed e arc itectures and ed e computin

E HIBIT 4 : Increasing interest in edge computing from 2013-2017. (Source: Google Trends)

Computing power outside the datacenter is growing in importance driven by the need to lower bandwidth

and hosting costs as well as enable real-time decision making. Edge computing is currently a hot topic that

is evolving uickly with many interested players developing solutions such as xxx and xxx:

• xxx

SAMPLE


APPENDI

Appendix

A. Market de nition met odolo y and si in

IoT definition:

The Internet of Things is defined as a network of Internet-enabled physical ob ects, which aims at integrating

every ob ect for interaction via embedded systems, network communications, backend computing and

applications typically in the cloud. It allows ob ects to communicate with each other, access information on

the Internet, capture store and retrieve data, and interact with users as well as other systems and applications,

creating smart connected environments.

IoT Platforms Market definition:

The overall market for IoT platforms refers to all companies spending money on integrated software platforms

with capabilities to link physical ob ects to the digital world and at the same time to all companies offering

solutions that enable any part of the infrastructure or services re uired in any layer of an IoT solution. Merely

connecting computers, tablets, and smartphones is not considered IoT although these may be part of the

solution setup.

IoT platforms are the central piece in the Internet of Things architecture that connects the real and the virtual

worlds to enable communication between ob ects. The term IoT Platform is often used ambiguously by

a number of players in the IoT market resulting in much confusion. Many companies say they offer an IoT

Platform but a closer comparison reveals vast differences. It can be difficult to understand whether this term

refers to a complete and mature IoT platform or whether the term has been stretched to describe ust an

element of a platform or even something completely different e.g., enterprise software extensions, basic

application add-ons through APIs.

IoT Analytics only considers IoT platforms that have modular elements that several customers can use

without modification and a base license agreement for the software exists. For the purpose of this report,

IoT Platforms are defined as a piece of modular software technology that enable solutions for IoT device

connectivity, device management, data management in the cloud, application development and enablement,

and advanced analytics for connected IoT devices. Five types of IoT platform are defined:


APPENDI

1. Connectivity platforms: are a form of Platform-as-a-Service that offer coverage capabilities and solutions

for connecting the IoT device, managing and orchestrating connectivity, and provisioning communication

services for connected IoT devices.

2. Device management platforms: are a form of Platform-as-a-Service (or device cloud) that handle

provisioning tasks to ensure connected devices are deployed, configured, and kept up-to-date with

regular firmware/software updates.

3. IaaS / Cloud backend platforms: are a form of Infrastructure-as-a-Service that offer a scalable enterprise-

grade backend for data management of IoT applications and services.

4. Application Enablement Platforms AEPs : are a form of Platform-as-a-Service that also offer Software-

as-a-Service solutions enabling developers rapidly create, test, and deploy an IoT application or service.

5. Advanced analytics platforms: are a form of Platform-as-a-Service that also offer Software-as-a-Service

solutions for sophisticated analytics tools including machine learning techni ues and streaming analytics

capabilities to extract actionable insights from IoT data.

Methodology:

The main research ob ectives of this research are:

• To understand and segment the technological components of the different types of IoT platform

• To estimate the worldwide market size of IoT platforms specifically installed base and revenue with

segmentation analysis by industry, region, platform type, by deployment

• To examine the role of certain industries and understand the needs and perspective of the customer

• Identify key trends and challenges in the adoption of IoT platforms

This report is the result of months of research including:

• Completed surveys from 20 of the leading IoT platform providers (with approx. 30 uestions answered each)

• 27 end-user surveys (with approx. 20 uestions answered each)


APPENDI

• 10 leading IoT conferences (e.g., IoT in general focused conferences such as IoT Solutions orld

Congress and Hannover Messe as well as vendor focused conferences such as BoschConnected orld

and PTC Liveworx)

• 20 industry interviews and vendor briefings with executive level IoT solution experts

• Secondary research involved mainly desktop research examining annual reports, press releases,

whitepapers, company products and services portfolios, government and economic data, regulations

and roadmaps, and industry case studies.

The research is based on a rigorous process with academic and industry recognized methodologies (such as

web-based analytics, trends analysis, and publicly available data on the market e.g., annual reports, company

websites, public M&A and funding info from crunchbase.com and angellist.com). The insights gained through

these methodologies were enhanced by IoT expertise from internal research analysts and consulting team.

Market Sizing:

IoT Analytics market sizing methodology utilizes sophisticated econometric models augmented by the input

of industry experts and a thorough review of economic and revenue data to form multi-year pro ections of

expected revenue changes by segment, by technology, by deployment, by region based on historical market

values where possible and calculated assumptions for forecasted revenue figures.

The market model for 2017 is based on a bottom-up approach, summing up some of the publicly available

company revenues with IoT Analytics internal intelligence. Revenues of companies that are not known were

approximated using a number of indicators such as industry discussions, number of employees, number of

customers, regional activity, announced device connections, and deal multiples. Regional and segment split

are based both on the results of the interview uestionnaire as well as through the use of web indicators for

regional and segment specific IoT activity (e.g., number of employees working on IoT solutions in a specific

country).

The forecast to 2023 is based on a model that takes into account historic growth in the period from 2016-

2017, factors in a slowing growth over time as it was seen in other high-growth tech markets in the past. The

results were triangulated with the growth rates of other fast-growing high-tech growth markets.


APPENDI

B List of ex ibits

Exhibit 1: Central building blocks of IoT - IoT platforms are part of the central software ba-ckend in the IoT infrastructure. (Source: IoT Analytics)

Exhibit 2: The technology architecture of the Internet of Things. (Source: IoT Analytics)

Exhibit 3: The 5 types of IoT platform and their elements. (Source: IoT Analytics)

Exhibit 4: Global IoT Platforms Market 2017-2023. (Source: IoT Analytics)

Exhibit 5: Global IoT Platforms Market 2017-2023 by Segment. (Source: IoT Analytics)

Exhibit 6: Global IoT Platforms Market 2017-2023 by Segment - Manufacturing. (Source: IoT Analytics)

Exhibit 7: IoT use cases enabled by IoT platforms - Manufacturing. (Source: IoT Analytics)

Exhibit 8: Global IoT Platforms Market 2017-2023 by Segment Smart Energy. (Source: IoT Analytics)

Exhibit 9: IoT use cases enabled by IoT platforms Smart Energy. (Source: IoT Analytics)

Exhibit 10: Global IoT Platforms Market 2017-2023 by Segment Smart Supply Chain. (Source: IoT Analytics)

Exhibit 11: IoT use cases enabled by IoT platforms Smart supply chain. (Source: IoT Analytics)

Exhibit 12: Global IoT Platforms Market 2017-2023 by Segment - Transportation. (Source: IoT Analytics)

Exhibit 13: IoT use cases enabled by IoT platforms - Transportation. (Source: IoT Analytics)

Exhibit 14: Global IoT Platforms Market 2017-2023 by Segment Connected Car. (Source: IoT Analytics)

Exhibit 15: IoT use cases enabled by IoT platforms Connected car. (Source: IoT Analytics)

Exhibit 16: Global IoT Platforms Market 2017-2023 by Segment Connected Building. (Source: IoT Analytics)

Exhibit 17: IoT use cases enabled by IoT platforms Connected building. (Source: IoT Analytics)


APPENDI

Exhibit 18: Global IoT Platforms Market 2017-2023 by Segment Public services. (Source: IoT Analytics)

Exhibit 19: IoT use cases enabled by IoT platforms Public services. (Source: IoT Analytics)

Exhibit 20: Global IoT Platforms Market 2017-2023 by Segment Connected Health. (Source: IoT Analytics)

Exhibit 21: IoT use cases enabled by IoT platforms Connected health. (Source: IoT Analytics)

Exhibit 22: Global IoT Platforms Market 2017-2023 by Segment Smart Agriculture. (Source: IoT Analytics)

Exhibit 23: IoT use cases enabled by IoT platforms Smart agriculture. (Source: IoT Analytics)

Exhibit 24: Global IoT Platforms Market 2017-2023 by Segment - Retail. (Source: IoT Analytics)

Exhibit 25: IoT use cases enabled by IoT platforms Smart retail. (Source: IoT Analytics)

Exhibit 26: Global IoT Platforms Market 2017-2023 by Segment - Other. (Source: IoT Analytics)

Exhibit 27: IoT use cases enabled by IoT platforms - Other. (Source: IoT Analytics)

Exhibit 28: Global IoT Platforms Market 2017-2023 by Platform type. (Source: IoT Analytics)

Exhibit 29: Global IoT Platforms Market 2017-2023 by Deployment type. (Source: IoT Analytics)

Exhibit 30: Global IoT Platforms Market 2017-2023 by Revenue type. (Source: IoT Analytics)

Exhibit 31: Global IoT Platforms Market 2017-2023 by Region. (Source: IoT Analytics)

Exhibit 32: Global IoT Platforms Market 2017-2023 by Region Asia deep dive. (Source: IoT Analytics)

Exhibit 33: Global IoT Platforms Market 2017-2023 by Region Europe deep dive. (Source: IoT Analytics)

Exhibit 34: Global IoT Platforms Market 2017-2023 by Region USA deep dive. (Source: IoT Analytics)

Exhibit 35: IoT Analytics identified 450 IoT platforms companies in the market in 2017. (Source: IoT Analytics)


APPENDI

Exhibit 36: Platform revenues from 450 IoT platform companies. (Source: IoT Analytics)

Exhibit 37: Global IoT Platforms Market 2017-2023 by Platform provider. (Source: IoT Analytics)

Exhibit 38: Global IoT Platforms Market 2017-2023 by Platform provider Cloud platforms. (Source: IoT Analytics)

Exhibit 39: Global IoT Platforms Market 2017-2023 by Platform provider Application enable-ment platforms. (Source: IoT Analytics)

Exhibit 40: Global IoT Platforms Market 2017-2023 by Platform provider Device management platforms. (Source: IoT Analytics)

Exhibit 41: 3 Open source combinations that can be part of an IoT platform. (Source: IoT Analytics)

Exhibit 42: IoT platform investments 2011-2017. (Source: IoT Analytics)

Exhibit 43: Number of new IoT platform startups from 2009 until une 2017. (Source: IoT Analytics)

Exhibit 44: Number of new IoT platform ac uisitions from 2013 to 2017. (Source: IoT Analytics)

Exhibit 45: Collaboration in the IoT platform market

Exhibit 46: Increasing interest in edge computing from 2013-2017. (Source: Google Trends)

Exhibit 47: Increasing interest in AI from 2013-2017. (Source: Google Trends)

Exhibit 48: Increasing interest in IoT professional services from 2013-2017. (Source: Google Trends)

Exhibit 49: Ecosystem example of the evolution of non-IoT mobile device management. (Source: IoT Analytics)

Exhibit 50: Increasing interest in Blockchain technologies from 2013-2017. (Source: Google Trends)

Exhibit 51: Increasing interest in IoT security from 2013-2017. (Source: Google Trends)

Exhibit 52: Increasing interest in LP AN & 5G technologies from 2013-2017. (Source: Google Trends)


APPENDI

Exhibit 53: Example of the selection and evaluation process of an IoT platform Automotive OEM. (Source: IoT Analytics)

Exhibit 54: Example of the selection and evaluation process of an IoT platform Industrial com-ponents manufacturer. (Source: IoT Analytics)

Exhibit 55: Example of the selection and evaluation process of an IoT platform Machinery manufacturer. (Source: IoT Analytics)

Exhibit 56: Example of the selection and evaluation process of an IoT platform Industrial soft-ware provider. (Source: IoT Analytics)

Exhibit 57: Primary IoT vendors in developing IoT solutions. (Source: IoT Analytics)

Exhibit 58: Most important customer needs from an IoT platform. (Source: IoT Analytics)

Exhibit 59: Top barriers to adoption (Source: IoT Analytics)


ABOUT

Aut or

PADRAIG SCULLY

Padraig is VP of market research at IoT Analytics. He has several years of experience in the telecommunications industry and academic research in wireless technology areas. Email: padraig.scully iot-analytics.com

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