IOT PLATFORMS MARKET REPORT

Transcription

1 Market Report June 2018 IOT PLATFORMS MARKET REPORT Enterprise 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.

2 IOT PLATFORMS MARKET REPORT Date: June 2018 Author: Padraig Scully 2018 IoT Analytics. All rights reserved. ii

3 Table of Contents EXECUTIVE SUMMARY IoT Deployments xii General IoT Developments xii 1. Overall market environment 2. IoT Connectivity-related developments 3. IoT hardware-related developments xii xii xiii IoT Platform & software developments xiii 1 Introduction to IoT Platforms Role of IoT platforms in the IoT Definition of IoT platforms 5 2 Technical Overview Technology segmentation Connectivity platforms Device management platforms Cloud platforms (IaaS backends) Application Enablement Platforms Advanced analytics platforms Hosting environment On-premise (data center) Private cloud (hosted) Public cloud Hybrid cloud Multi cloud Application deployment architecture Monolithic Microservices Self-contained systems Security elements of the platform Role of edge computing Role of digital twins Role of Interoperability and Standardization 41 3 Market Analysis Market characteristics overview Overall market Market by segment Overview Manufacturing IoT Analytics. All rights reserved. iii

4 3.3.3 Smart energy Smart supply chain Transportation Connected car Connected building Public services Connected health Smart agriculture Retail Other Market by technology By platform type By deployment type By revenue type Market by region Regional deep-dive: Asia Regional deep-dive: Europe Regional deep-dive: North America Regional deep-dive: Other 89 4 Competitive Landscape Overview General Vendor Landscape Competitive intensity Fragmentation & Growth Market share by solution provider Leading Cloud players Leading AEP players Leading Device Management players Leading IoT Platforms in other tech stack elements Role of open source vendors/communities Role of certain industries Telecommunications Industrial automation System integrators Funding/investment activity M&A activity IoT Platform Business Models Overview Selected market strategies Horizontal platforms IoT Analytics. All rights reserved. iv

5 5.2.2 Vertical platforms Bringing an IoT platform to market Time to profitability (critical mass) Key success factors Key measures to get traffic on the platform Attracting and convincing customers to use the platform Defining and measuring success Closed vs. open platforms Third party offerings on the platform Platform extensibility Ownership of the IoT Application and Data Platform collaboration Sales approach Sales channels Types of selling Initial sales targets IoT implementation and consulting services Market trends and challenges Five trends for IoT platforms Increased integration of edge architectures and edge computing Platforms increasingly supporting AI Increasing demand for IoT professional services Slow but continuous market consolidation Other technology trends with an effect on IoT Platforms Customer perspective and needs Platform selection & evaluation Choosing a lead vendor and understanding their partnership ecosystem Most important customer needs Challenges / adoption barriers 161 Appendix 163 A. Market definition, methodology and sizing 163 B List of exhibits 166 C. List of Tables 170 D. List of Acronyms 172 About 176 Selected recent publications 176 Upcoming publications 177 Subscription 177 Newsletter 177 Author 178 Copyright IoT Analytics. All rights reserved. v

6 I T T IoT developments This 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 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 IoT Analytics. All rights reserved. ii

7 SAMPLE 1 Introduction to IoT Pla orms The 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) 2018 IoT Analytics. All rights reserved. 1

8 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 IoT Analytics. All rights reserved. 2

9 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 4 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. 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 IoT Analytics. All rights reserved. 3

10 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.) 2018 IoT Analytics. All rights reserved. 4

11 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 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. 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. Cloud platforms IaaS backends : are a form of Infrastructure-as-a-Service that offer a scalable enterprisegrade backend for data management of IoT applications and services. Application Enablement Platforms AEPs : are a form of Platform-as-a-Service that also offer Softwareas-a-Service solutions enabling developers rapidly create, test, and deploy an IoT application or service. 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 IoT Analytics. All rights reserved. 5

12 SAMPLE 2 Tec nical Overview This 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) 2018 IoT Analytics. All rights reserved. 6

13 SAMPLE 3 Market Analysis This chapter presents analysis of the IoT platforms market including a total market forecast to 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 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 IoT Analytics. All rights reserved. 46

14 SAMPLE 3.2 Overall market E HIBIT 4: Global IoT Platforms Market (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 At this growth rate, IoT platforms are one of the fastest growing technology markets in the world IoT Analytics. All rights reserved. 47

15 SAMPLE 3.3 Market by se ment Overview E HIBIT 5: Global IoT Platforms Market 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 Industry x, Industry x, and Industry x are expected to have less momentum experiencing lower growth rates between xxx and xxx IoT Analytics. All rights reserved. 48

16 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 (Source: IoT Analytics) 2018 IoT Analytics. All rights reserved. 90

17 SAMPLE 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 2018 IoT Analytics. All rights reserved. 117

18 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 Increased inte ration of ed e arc itectures and ed e computin E HIBIT 4 : Increasing interest in edge computing from (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 2018 IoT Analytics. All rights reserved. 141

19 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: 2018 IoT Analytics. All rights reserved. 163

20 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 enterprisegrade 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 Softwareas-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) 2018 IoT Analytics. All rights reserved. 164

21 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 , 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 IoT Analytics. All rights reserved. 165

22 APPENDI B List of ex ibits Exhibit 1: Exhibit 2: Exhibit 3: Exhibit 4: Exhibit 5: Exhibit 6: Exhibit 7: Exhibit 8: Exhibit 9: Exhibit 10: Exhibit 11: Exhibit 12: Exhibit 13: Exhibit 14: Exhibit 15: Exhibit 16: Exhibit 17: Central building blocks of IoT - IoT platforms are part of the central software backend in the IoT infrastructure. (Source: IoT Analytics) The technology architecture of the Internet of Things. (Source: IoT Analytics) The 5 types of IoT platform and their elements. (Source: IoT Analytics) Global IoT Platforms Market (Source: IoT Analytics) Global IoT Platforms Market by Segment. (Source: IoT Analytics) Global IoT Platforms Market by Segment - Manufacturing. (Source: IoT Analytics) IoT use cases enabled by IoT platforms - Manufacturing. (Source: IoT Analytics) Global IoT Platforms Market by Segment Smart Energy. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Smart Energy. (Source: IoT Analytics) Global IoT Platforms Market by Segment Smart Supply Chain. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Smart supply chain. (Source: IoT Analytics) Global IoT Platforms Market by Segment - Transportation. (Source: IoT Analytics) IoT use cases enabled by IoT platforms - Transportation. (Source: IoT Analytics) Global IoT Platforms Market by Segment Connected Car. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Connected car. (Source: IoT Analytics) Global IoT Platforms Market by Segment Connected Building. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Connected building. (Source: IoT Analytics) 2018 IoT Analytics. All rights reserved. 166

23 APPENDI Exhibit 18: Exhibit 19: Exhibit 20: Exhibit 21: Exhibit 22: Exhibit 23: Exhibit 24: Exhibit 25: Exhibit 26: Exhibit 27: Exhibit 28: Exhibit 29: Exhibit 30: Exhibit 31: Exhibit 32: Exhibit 33: Exhibit 34: Exhibit 35: Global IoT Platforms Market by Segment Public services. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Public services. (Source: IoT Analytics) Global IoT Platforms Market by Segment Connected Health. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Connected health. (Source: IoT Analytics) Global IoT Platforms Market by Segment Smart Agriculture. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Smart agriculture. (Source: IoT Analytics) Global IoT Platforms Market by Segment - Retail. (Source: IoT Analytics) IoT use cases enabled by IoT platforms Smart retail. (Source: IoT Analytics) Global IoT Platforms Market by Segment - Other. (Source: IoT Analytics) IoT use cases enabled by IoT platforms - Other. (Source: IoT Analytics) Global IoT Platforms Market by Platform type. (Source: IoT Analytics) Global IoT Platforms Market by Deployment type. (Source: IoT Analytics) Global IoT Platforms Market by Revenue type. (Source: IoT Analytics) Global IoT Platforms Market by Region. (Source: IoT Analytics) Global IoT Platforms Market by Region Asia deep dive. (Source: IoT Analytics) Global IoT Platforms Market by Region Europe deep dive. (Source: IoT Analytics) Global IoT Platforms Market by Region USA deep dive. (Source: IoT Analytics) IoT Analytics identified 450 IoT platforms companies in the market in (Source: IoT Analytics) 2018 IoT Analytics. All rights reserved. 167

24 APPENDI Exhibit 36: Exhibit 37: Exhibit 38: Exhibit 39: Exhibit 40: Exhibit 41: Exhibit 42: Exhibit 43: Exhibit 44: Exhibit 45: Exhibit 46: Exhibit 47: Exhibit 48: Exhibit 49: Exhibit 50: Exhibit 51: Exhibit 52: Platform revenues from 450 IoT platform companies. (Source: IoT Analytics) Global IoT Platforms Market by Platform provider. (Source: IoT Analytics) Global IoT Platforms Market by Platform provider Cloud platforms. (Source: IoT Analytics) Global IoT Platforms Market by Platform provider Application enablement platforms. (Source: IoT Analytics) Global IoT Platforms Market by Platform provider Device management platforms. (Source: IoT Analytics) 3 Open source combinations that can be part of an IoT platform. (Source: IoT Analytics) IoT platform investments (Source: IoT Analytics) Number of new IoT platform startups from 2009 until une (Source: IoT Analytics) Number of new IoT platform ac uisitions from 2013 to (Source: IoT Analytics) Collaboration in the IoT platform market Increasing interest in edge computing from (Source: Google Trends) Increasing interest in AI from (Source: Google Trends) Increasing interest in IoT professional services from (Source: Google Trends) Ecosystem example of the evolution of non-iot mobile device management. (Source: IoT Analytics) Increasing interest in Blockchain technologies from (Source: Google Trends) Increasing interest in IoT security from (Source: Google Trends) Increasing interest in LP AN & 5G technologies from (Source: Google Trends) 2018 IoT Analytics. All rights reserved. 168

25 APPENDI Exhibit 53: Exhibit 54: Exhibit 55: Exhibit 56: Exhibit 57: Exhibit 58: Exhibit 59: Example of the selection and evaluation process of an IoT platform Automotive OEM. (Source: IoT Analytics) Example of the selection and evaluation process of an IoT platform Industrial components manufacturer. (Source: IoT Analytics) Example of the selection and evaluation process of an IoT platform Machinery manufacturer. (Source: IoT Analytics) Example of the selection and evaluation process of an IoT platform Industrial software provider. (Source: IoT Analytics) Primary IoT vendors in developing IoT solutions. (Source: IoT Analytics) Most important customer needs from an IoT platform. (Source: IoT Analytics) Top barriers to adoption (Source: IoT Analytics) 2018 IoT Analytics. All rights reserved. 169

26 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. padraig.scully iot-analytics.com Contact Us Do you have a uestion or any feedback on the report Do you have other in uiries or ideas Then get in touch with the authors or contact IoT Analytics at: Address: IoT Analytics GmbH, irkusweg 2, Hamburg, GERMAN info iot-analytics.com Tel: 49 (0) IoT Analytics. All rights reserved. 178

27 Copyri t 2018 IoT Analytics GmbH. All rights reserved. IoT Analytics is the leading provider of market and industry insights for the Internet of Things (IoT) and for Industry 4.0. This document is intended for general informational purposes only, does not take into account the reader s specific circumstances, and may not reflect the most current developments. IoT Analytics disclaims, to the fullest extent permitted by applicable law, any and all liability for the accuracy and completeness of the information in this document and for any acts or omissions made based on such information. IoT Analytics does not provide legal, regulatory, audit, or tax advice. Readers are responsible for obtaining such advice from their own legal counsel or other licensed professionals. For more information visit