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REPORT # SH26944999 678 PAGES 240 TABLES AND FIGURES 2017

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Internet of Things (IoT) Market Shares, Strategies, and Forecasts,

Worldwide, 2017 to 2023

Mountains of Opportunity

Picture by Susan Eustis

WinterGreen Research, Inc.

Lexington, Massachusetts www.wintergreenresearch.com 781 853 5078

http://www.wintergreenresearch.com/




CHECK OUT THESE KEY TOPICS

IoT Brings Digital Connectivity to Everything, Implements APIs, SOA, Data Streaming, End-Point Analytics, Digital Controls, and Sends Alerts

Internet of Things (IoT) IoT Endpoints

Universal IoT Platform IoT Suite

Web Services Blockchain Networks

Wireless Sensor Networks Security and Energy

Management Healthcare

Transportation

Self Driving Cars Agriculture IoT

Weather IoT Financial IoT Industrial IoT

Manufacturing IoT Security IoT

Energy Management Internet of Things

IoT Security Healthcare IoT

Wearable Technology Self-Driving Cars Connected Cars

Rail Transportation IoT Sensor and Computing

Configurations Agricultural and Weather IoT

IoT chipsets

Internet of Things (IoT) Market Analysis:

Internet of Things (IoT): Market Strategies and Forecasts, Worldwide, 2017-2023

LEXINGTON, Massachusetts (March 29, 2017) – WinterGreen Research announces that it has published

a new study Internet of Things (IoT): Market Shares, Strategy, and Forecasts, Worldwide, 2017 to 2023.

The 2017 study has 678 pages, 240 tables and figures. Worldwide Internet of Things (IoT) markets are

poised to achieve significant growth with the use of sensors, cameras, and platforms that are used to help

implement precision digital control and send alerts for all manner or management of devices and

machinery. Visualization and digitization let people better control any device or mechanical thing.




Providers of Industrial IoT aim to implement asset efficiency solutions. Designing the asset efficiency

solution, developing the application, adapting advanced engineering knowledge for the use cases, and

supplying the information platform is the composite task of the analytics engine. IBM is a premier

supplier of an analytics engine with its Watson product.

There is enormous variety in the Internet of things markets. Bosch supplies industrial IoT sensor

technology, acquiring data from the edge, providing device management. Scalability is achieved by the

Bosch IoT Suite and ProSyst IoT middleware. The Vorto code generator enables M2M modelling. PTC

supplies the Thingworx Application Enablement Platform (AEP), used for creating dashboards, widgets

and other user interface elements. Intel provides the Moon Island Gateway used for data aggregation at

the edge, as well as horizontal infrastructure in collaboration with HP.

Hitachi analytics is used to diagnose manufacturing process. Hitachi uses its analytics platform to

integrate production and sensor data outputs to help visualize, analyze and diagnose a manufacture

polymer mixing problems. A polymer mixing process was said to be producing inconsistent output

quality, with yields dipping to 50%. Hitachi addressed the scrapping of poor batches and huge costs by

addressing ever-changing product specifications and variations in a range of production parameters.

Using IoT and the analytics platform, production engineers were able to stabilize the process even as new

product formulations were introduced.

The Internet of Things (IoT) is the next Industrial Revolution. It will impact the way all businesses,

governments, and consumers interact with the physical world. 1 Gbps and 10 Gbps speed has been used

in data centers for years. The jump to 40 Gbps and 100 Gbps has come rapidly as a result of the need to

increase the quantity of data managed inside the data center with more analytics and more applications.

Many of the Cloud 2.0 mega data centers have moved to 100 Gbps, presaging the move to 400 Gbps.

One reason for the increase in speed is the growth of data consumption, attributed to smartphones, social

media, video streaming, Internet of Things (IoT), and big data. Big pipes are used to cope with the huge

quantities of data that are being transferred.

Users, partners, suppliers and other mega-datacenters communicate using digital systems that are

automated and self-healing. The effect on the business is compelling, managers have much more

responsibility to create maps of strategy and work with IT to see that developers tune the software to fit

the current competitive environment.

The explosion of data comes from smart phone apps and IoT digital onslaught of streaming data that

needs to be processed in real time to look for anomalies, look for change, set alerts, and provide

automated response to shifts.




According to Susan Eustis, lead author of the study, “Transparency is one of the benefits of IoT that

sensors bring to digital controls. The benefits of digital manufacturing, farming, and automotive vehicles

are higher productivity and more efficient use of resource. Transparency in is being asked for by

consumers. Consumers want to know where their food came from, how much water and chemicals were

used in food preparation, and when and how the food was harvested and transported. They want to

know about consistent refrigeration during transport.”

Use of IoT sensors and cameras represents a key milestone in provision of value to every industry.

Customized cameras are used to take photos and videos with stunning representations. Digital controls

will further automate flying and driving, making ease of use, flight stability, and automated cars a reality.

New materials and new designs are bringing that transformation forward. By furthering innovation, IoT

continued growth is assured.

The worldwide market for Internet of Things (IoT) is $16.3 billion in 2016 anticipated to reach $185.9

billion by 2023. Sensors and software analytics platforms are implemented with connectivity capability

for streaming data from endpoints and using analytics to process the data in a manner that generates

alerts when appropriate. The complete report provides a comprehensive analysis of Internet of Things

(IoT) in different categories, illustrating the diversity of uses for digital tracking devices in industry,

healthcare and consumer markets. Analytics makes the images more cogent to everyone, farmers,

doctors, machine operators, the uses of IoT are quite diverse. Letting people anticipate problems that

only become visible to humans days or weeks after the sensors and images detect issues is a fundamental

aspect of IoT, along with generating apocopate levels of alerts. Not too many and not too few.

WinterGreen Research is an independent research organization funded by the sale of market research

studies all over the world and by the implementation of ROI models that are used to calculate the total

cost of ownership of equipment, services, and software. The company has 35 distributors worldwide,

including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca,

and others. It conducts its business with integrity.

The increasingly global nature of science, technology and engineering is a reflection of the

implementation of the globally integrated enterprise. Customers trust wintergreen research to work

alongside them to ensure the success of the participation in a particular market segment.

WinterGreen Research supports various market segment programs; provides trusted technical services

to the marketing departments. It carries out accurate market share and forecast analysis services for a

range of commercial and government customers globally. These are all vital market research support

solutions requiring trust and integrity. Key Words: Internet of Things (IoT): IoT Endpoints, Universal IoT Platform, IoT Suite, Web Services, Blockchain Networks, Wireless Sensor Networks, Security and Energy Management, Healthcare, Transportation and Self Driving Cars, Agriculture and Weather, Financial, Industrial and Manufacturing, Security and Energy Management Internet of Things, IoT Security,




Healthcare, Wearable Technology, Self-Driving Cars / Connected Cars / Transportation, Sensor and Computing Configurations, Agricultural and Weather IoT, IoT chipsets,

Companies Profiled

Market Leaders

IBM Amazon Google

GE Intel

Verizon Microsoft

Hewlett Packard Enterprise Cisco

Samsung

Huawei AT&T SAP

Siemens Softbank / Arm / Sprint

Apple PTC

Bosch

Selected Market Participants

Aerialtronics

Adobe

Amazon

Apple

AutoDesk

AutoDesk CAD-in-the-Cloud

Bosch

Cisco Systems

Digi International

Cybus

Enevo Oy Technologies

Essence

General Electric GE

GE Wireless Sensor Networks

Google

Google / Nest Learning

Thermostat

Google Chromecast

Health Slam - IoT Slam

Huawei

Huawei Partners with China

Telecom, Shenzhen Gas On Smart

Utility

IBM Corporation

Infineon Technologies AG

Infineon Chip Card & Security

Intel Corporation

Intel Acquires Mobileye

Internet of Things Community

KT

Microsoft

Microsoft

Microsoft / Mojang AB Minecraft

Microsoft / Skype / GroupMe

Free Group Messaging

MuleSoft

Nokia

oneM2M

Panoramic Power

Oracle

PTC

Qualcomm

Samsung

Samsung Agreed to Buy Harman

Harman International Industries

(ADITI TECHNOLOGIES)

SAP

Schaeffler

Sierra Wireless Business and

Innovation Development

Sigfox

Softbank

Softbank “IBM Watson”




Softbank Sprint

Softbank Yahoo

Fukuoka SoftBank HAWKS

Spirent

STMicroelectronics

Symantec / Norton

Symantec Creating Trusted

Interactions Online

Schneider Electric Software, Llc.

Uber

UIB

Zebra

ZTE

Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

Report Methodology

This is the 694th report in a series of primary market research reports that provide forecasts in

communications, telecommunications, the Internet, computer, software, telephone equipment, health

equipment, and energy. Automated process and significant growth potential are a priority in topic selection.

The project leaders take direct responsibility for writing and preparing each report. They have significant

experience preparing industry studies. They are supported by a team, each person with specific research tasks

and proprietary automated process database analytics. Forecasts are based on primary research and

proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is

not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of

shipments and the average price to achieve market assessments. Our track record in achieving accuracy is

unsurpassed in the industry. We are known for being able to develop accurate market shares and projections.

This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the

markets from several different perspectives, including vendor shipments. The interview process is an essential

aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and

addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar

shipments are analyzed through consideration of dollar volume of each market participant in the segment.

Installed base analysis and unit analysis is based on interviews and an information search. Market share

analysis includes conversations with key customers of products, industry segment leaders, marketing




directors, distributors, leading market participants, opinion leaders, and companies seeking to develop

measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and

industry leaders in the market segment. We establish accurate market forecasts based on economic and

market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify

data. Use in-house analysts who meet stringent quality standards.

Interviewing key industry participants, experts and end-users is a central part of the study. Our research

includes access to large proprietary databases. Literature search includes analysis of trade publications,

government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including

manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with

information gathered through an extensive review of internet and printed sources such as trade publications,

trade associations, company literature, and online databases. The projections contained in this report are

checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2011. With 2011 and several years prior to that as a baseline,

market projections were developed for 2012 through 2018. These projections are based on a combination of a

consensus among the opinion leader contacts interviewed combined with understanding of the key market

drivers and their impact from a historical and analytical perspective.

The analytical methodologies used to generate the market estimates are based on penetration analyses,

similar market analyses, and delta calculations to supplement independent and dependent variable analysis.

All analyses are displaying selected descriptions of products and services.

This research includes referencde to an ROI model that is part of a series that provides IT systems financial

planners access to information that supports analysis of all the numbers that impact management of a product

launch or large and complex data center. The methodology used in the models relates to having a

sophisticated analytical technique for understanding the impact of workload on processor consumption and

cost.

WinterGreen Research has looked at the metrics and independent research to develop assumptions that

reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these

values into models.




The variables and assumptions provided in the market research study and the ROI models are based on

extensive experience in providing research to large enterprise organizations and data centers. The ROI models

are useful for comparing products from different manufacturers, for example servers from different

manufacturers, Systems z models from IBM, and labor costs by category around the world.

This information has been developed from WinterGreen research proprietary data bases constructed as a

result of preparing market research studies that address the software, energy, healthcare,

telecommunicatons, and hardware businesses.

YOU MUST HAVE THIS STUDY

Internet of Things (IoT): Market Shares, Strategy, and Forecasts, 2017 to 2023

Table of Contents

Internet of Things (IoT): Executive Summary

The study is designed to give a comprehensive overview of the Internet of Things (IoT): market segment.

Research represents a selection from the mountains of data available of the most relevant and cogent

market materials, with selections made by the most senior analysts. Commentary on every aspect of the

market from independent analysts creates an independent perspective in the evaluation of the market. In

this manner the study presents a comprehensive overview of what is going on in this market, assisting

managers with designing market strategies likely to succeed.

Internet of Things (IoT): Executive Summary

The study is designed to give a comprehensive overview of the agricultural drones equipment market segment. Research represents a selection from the mountains of data available of the most relevant and cogent market materials, with selections made by the most senior analysts. Commentary on every aspect of the market from independent analysts creates an independent perspective in the evaluation of the market. In this manner, the study presents a comprehensive overview of what is going on in this market, assisting managers with designing market strategies likely to succeed.




Table of Contents

INTERNET OF THINGS (IOT) EXECUTIVE SUMMARY 35

Internet of Things (IoT) Market Driving Forces 35 IoT Technology Market Driving Forces 37

IoT Technology Market Challenges 38

Internet of Things (IoT) Market Shares 41

Internet of Things (IoT) Market Forecasts 43 IoT Market Opportunity Huge 43

1. INTERNET OF THINGS (IOT): MARKET DESCRIPTION AND MARKET DYNAMICS 45

1.1 IoT Sensor Types 45 1.1.1 IoT Monitoring Task 46

1.2 Internet of Things (IoT) Based on Standards 49

1.3 With IoT, APIs Are Used for Everything 49 1.3.1 IoT Use Cases 51

1.3.2 Application Integration for Siloed IoT Projects 54

1.3.3 Changing IoT Landscape Requires Platform Versatility 58

1.3.4 Adaptive Architecture 59

1.4 Internet of Things Revolution Dramatically Alters the Economy 60 2. INTERNET OF THINGS (IOT) MARKET SHARES AND FORECASTS 64

2.1 Internet of Things (IoT) Market Driving Forces 64 2.1.1 IoT Technology Market Driving Forces 66

2.1.2 IoT Technology Market Challenges 67

2.2 Internet of Things (IoT) Market Shares 70 2.2.1 Amazon Web Services 73

2.2.2 IBM Watson IoT 73

2.2.3 IBM Blockchain 74

2.2.4 Blockchain Networks Will Codify Trust At The Level Of The Individual Transaction 75

2.2.5 GE Wireless Sensor Networks 75

2.2.6 Microsoft Azure 76

2.2.7 Intel® Joule 76

2.2.8 HPE Universal IoT Platform 77

2.2.9 Cisco 78

2.2.10 Bosch IoT Suite 78

2.2.11 Huawei 78

2.2.12 AT&T 79

2.2.13 Verizon 79

2.2.14 Essence 80

2.3 Internet of Things (IoT) Market Forecasts 81 2.3.1 IoT Market Opportunity Huge 81

2.3.2 IoT Application Domain 87

2.3.3 IoT Unit Forecasts 88

2.3.4 Internet of Things Market Segments, Installed Base of Devices Reach 1 trillion by 2023 92

2.3.5 IoT Endpoint Forecasts 92

2.3.6 Internet of Things End Point Analysis 93

2.4 Internet of Things Market Segments: Security and Energy Management, Healthcare, Transportation and Self Driving Cars,

Agriculture and Weather, Financial, Industrial and Manufacturing 94

2.5 Security and Energy Management Internet of Things Market 97 2.5.1 IoT Security Issues 97

2.5.1 IoT Security 100

2.6 Healthcare 102 2.6.1 Wearable Technology 105

2.6.2 Health care IoT: Reducing Patient Heart Disease Hospital Readmission 106

2.7 Self Driving Cars / Connected Cars / Transportation 109 2.7.1 Sensor and Computing Configurations for Cars Driving Themselves 112

2.7.2 Intel Targets Driverless Cars 114




2.8 Agricultural and Weather IoT 116 2.8.1 Agricultural Internet of Things (IoT) 117

2.8.2 Agriculture IoT Food Production Increases 119

2.8.3 Agriculture IoT: Global Shift to Use of Sensors 120

2.8.4 Agriculture Internet of Things: Venture Investment 121

2.8.5 Agriculture Internet of Things (IoT) Technology 122

2.8.6 IoT Crop Water Management 123

2.8.7 Precision Agriculture 124

2.8.8 Agricultural Drone Sensors 124

2.8.9 Integrated Pest Management or Control (IPM/C) – 126

2.8.10 Food Production and Food Safety 128

2.8.11 Agriculture IoT Animal Monitoring 129

2.8.12 Agriculture Internet of Things (IoT) Applications 129

2.8.13 CLAAS IoT Equipment 130

2.9 Industrial IoT 131 2.9.1 Intelligent Buildings Market 133

2.9.2 Industrial IoT Key Role in Asset Efficiency 135

2.9.3 Typical Providers of Industrial IoT Asset Efficiency Solutions 136

2.9.4 Hitachi Analytics Diagnose Manufacturing 136

2.9.5 Manufacturing IoT 138

2.10 Financial Internet of Things Market Segment 139 2.10.1 Google, Amazon, Facebook Banking and Insurance 141

2.11 IoT chipsets 142 2.11.1 Intel Targets Driverless Cars 143

2.11.2 Softbank Arm 144

2.12 IoT Data Use Forecasts 145 2.12.1 IoT ecosystem 147

2.12.2 Smart Cities Internet of Things (IoT) 147

2.12.3 M to M 150

2.13 Mid IR Sensor Market Forecasts 153 2.13.1 Mid IR Sensors Positioned To Provide Wavelength Tunability And High Optical Power 155

2.13.1 Mid IR Sensors Market Forecasts, Units 156

2.13.2 Mid IR Sensors: Dollars and Units, High End, Mid Range, and Low End, Shipments,

Worldwide, 2016-2022 158

2.13.3 Mid IR Spectrum Unit Size Categories 160

2.13.4 IoT Sensor Applications 161

2.13.5 ECqcL Expressed As A QC Semiconductor Chip 164

2.14 Internet of Things (IoT) Regional Analysis 165 2.14.1 Washington, D.C. Lab For Internet Of Things 166

2.14.2 Australia 167

2.14.3 Brazil 168

2.14.4 India 169

2.14.5 India Cotton Infestation 169

2.14.6 Argentina 170

2.14.7 Europe's IoT Policy 171

2.14.8 Spain 173

2.14.9 Asia-Pacific 174

2.14.10 China 174

2.14.11 Vicious Circle Of Constraints Affecting China’s Seed Industry 175

2.14.12 South America 177

2.14.13 Global IoT Monetization Market: Geographical Evaluation 177

3. INTERNET OF THINGS IOT PRODUCT DESCRIPTION 178

3.1 IBM 178 3.1.1 IBM Global Investment of $3 billion to Bring Watson Cognitive Computing to IoT 180

3.1.2 IBM Watson IoT 182

3.1.3 Partnership Between Visa and IBM Watson for IoT Automated Payments 183

3.1.4 Schaeffler Transforms its Industrial Business with Watson IOT: 186

3.1.5 IBM / Schaeffler Partnership Has Focus On Optimizing Maintenance In The Wind Energy Sector 188




3.1.6 IBM / Schaeffler Digitized Monitoring And Optimization Of Trains: 189

3.1.7 IBM / Schaeffler Connected Vehicles: 189

3.1.8 IBM / Schaeffler Industry 4.0 for Tooling Machines: 189

3.1.9 IBM / Schaeffler Connected Equipment Operations Center: 190

3.1.10 IBM Watson IoT Used by Aerialtronics: 190

3.1.11 IBM / Aerialtronics IoT Aviation Crowd Safety: 194

3.1.12 IBM / Aerialtronics IoT Aviation Damage Assessment: 195

3.1.13 IBM Watson IoT Thomas Jefferson University Hospital Cognitive Systems: 196

3.1.14 IBM Watson IoT and Blockchain Services Offerings 197

3.1.15 IBM Watson IoT Security Solutions and Services 198

3.1.16 IBM Watson IoT Natural Language Interface: 198

3.1.17 IBM Watson IoT Cognitive IoT Developer Best Practice: 198

3.1.18 IBM IoT, Artificial Intelligence (AI), and Unified Messaging 199

3.1.19 IBM Collaborating with Unified Inbox, Intelligent IoT Messaging Company 200

3.1.20 IBM IoT Blockchain Distributed Replication 201

3.1.21 IBM Integrates Watson IoT Platform with Blockchain Transaction Record Creation and Transfer 203

3.1.22 IBM Supply Chain IoT 205

3.1.23 Web Transactions Implemented by IBM Blockchain 207

3.1.24 IBM Blockchain Interactions 213

3.1.25 IBM Use Cases for IoT and Blockchain 214

3.1.26 IBM IoT Blockchain Regulatory Compliance 216

3.1.27 IBM Blockchain Networks Codify Trust At The Level Of The Individual Transaction 217

3.2 Intel 220 3.2.1 Intel® IoT Gateway Technology 223

3.2.2 Intel® RealSense™ Camera (R200) 224

3.3 Microsoft IoT 226 3.3.1 Microsoft IoT Remote Monitoring 228

3.3.2 Microsoft Internet of Things (IoT) 229

3.3.3 Microsoft Azure IoT Suite 230

3.3.4 Microsoft Azure IoT Hub Fully-Managed Service 232

3.3.5 Microsoft, Corzotech Starter Kits 233

3.4 Hewlett HP IoT 234 3.4.1 Hewlett Packard Idea Economy 234

3.4.2 HPE Universal IoT Platform 235

3.4.3 HPE Universal IoT Platform Communication And Media Solutions 235

3.4.4 HPE Universal IoT Platform Architecture 237

3.4.5 HPE IoT Network Interworking Proxy 238

3.4.6 HPE IoT Data Analytics 239

3.4.7 HPE IoT Application Studio in DSC 239

3.4.8 HPE IoT Data Monetization 240

3.4.9 Hewlett Packard IoT Ford Motor Company 243

3.4.10 Hewlett Packard and Dubai Police IoT 243

3.4.11 Hewlett Packard Smart Cities IoT 244

3.4.12 HPE IAV IoT 245

3.5 Apple 245 3.5.1 Apple Internet of Things HomeKit Platform 247

3.5.2 Apple IoT 249

3.6 Google 251 3.6.1 Google Nest 251

3.6.2 Google / Nest Protect 251

3.6.3 Google / Nest Safety History 252

3.6.4 Google / Nest Learning Thermostat 254

3.6.5 Google Chromecast 255

3.7 Cisco 256 3.7.1 Cisco IoT System Digital Transformation 256

3.7.2 Cisco Bringing Integration, Analytics, And Security to IoT 258

3.7.3 Cisco Fog Computing Software and Hardware 260

3.7.4 Cisco IOx 261




3.7.5 Cisco IoT Fog Applications 262

3.7.6 Cisco Cloud to Fog 263

3.7.7 Cisco Fog Delivers Business Outcomes 264

3.7.8 Cisco Connected Analytics Solutions: 265

3.7.9 Cisco Potential For Countries To Prosper 271

3.8 Samsung 273 3.8.1 Samsung Artik Cloud 274

3.8.2 Samsung Artik Modules Tightly-Integrated 274

3.8.3 Samsung Smart Home Cloud API 275

3.8.4 Samsung Smart Home Cloud API Specification 275

3.8.5 Samsung Hub And Cloud Infrastructure 278

3.8.6 Samsung Partner Apps Feature of S Health 280

3.8.7 Samsung Human-Centered IoT 281

3.8.8 Samsung C-Lab Innovation: Helping Golfers Perfect Their Swings 282

3.8.9 Samsung C-Lab Innovations 284

3.9 AutoDesk 289 3.9.1 AutoDesk: Manufacturing No Longer About Making Physical Products 290

3.9.2 Elastic Compute Power Available In The Cloud 291

3.10 Zebra 292

3.11 SAP 293 3.11.1 SAP IoT and Machine-To-Machine (M2M) Technology 293

3.11.2 SAP Industrial Internet of Things 293

3.11.3 SAP Manufacturing: Connecting the Top Floor to the Shop Floor 295

3.11.4 SAP IoT Solutions by Industry 295

3.12 Siemens 306 3.12.1 IoT Technical Standards Embraced by Siemens 307

3.12.2 Siemens IoT for Railroads 308

3.12.3 Siemens Contends with US Train Budgets 309

3.12.4 Siemens Intelligent Gateway For Industrial IoT Solutions 310

3.12.5 Siemens Gateway for Simatic IOT2040 Reliable and Open Platform 312

3.12.6 Siemens Gateway for Simatic IOT2040 Reliable and Open Platform Retrofitting Capability 314

3.12.7 Siemens IoT Data: Driver for Industrie 4.0 Scosystem 316

3.12.8 Siemens Open Cloud: Paving the Way for Smart Data Analytics 316

3.13 Bosch Software Innovation 318 3.13.1 Bosch IoT Suite 318

3.13.2 Bosch IoT Suite Supports Innovative Business Models 319

3.13.3 Bosch IoT Suite Services - Internet of Things Scenarios 321

3.13.4 Bosch Vision for the Internet of Things (IoT) 327

3.13.5 Bosch Investment in Production Performance Management Protocol (PPMP) 328

3.14 Huawei Technologies 334 3.14.1 Huawei Transport Network 340

3.15 Harman International Industries (ADITI Technologies) 341 3.15.1 Harman IoT Platform Supports Intelligent Navigation 342

3.15.2 Harman Telematics 344

3.15.3 Harman Connected Safety Offerings 345

3.16 Enevo Oy Technologies 345 3.16.1 Enevo Oy Technologies Waste Collection Solution 345

3.16.2 Enevo Product Partnership 346

3.17 Infineon Technologies 347

3.18 Symantec Corporation 347

3.19 Schneider Electric Software, Llc. 349 3.19.1 Schneider Electric Smart Cities 350

3.19.2 Schneider Electric Asset Management 350

3.19.3 Schneider Electric Microsoft, Featured Partner 350

3.20 Apple IoT 351

3.21 AT&T 352

3.22 Softbank 362




3.22.1 SoftBank ARM Acquisition Brings Internet of Things 362

3.22.2 SoftBank to Roll Out ‘LoRaWAN™’ Low Power Wide Area Network 363

3.22.3 SoftBank IoT Environment Industry Sectors 364

3.22.4 SoftBank Builds a LoRaWAN™ Ecosystem. 365

3.22.5 Overview of LoRaWAN™ 367

3.22.6 SoftBank CEO Masayoshi Son Sees 1 Trillion Devices for Internet of Things 370

3.22.7 SoftBank Sees Massive MIMO as Key Part of Its 5G Project 371

3.23 Uber 372 3.23.1 Uber Purchases AI Startup, Creates Machine Learning Lab 372

3.24 oneM2M 373 3.24.1 IoT to Expand with oneM2M Specifications 373

3.24.2 Global IoT Standards from oneM2M 374

3.25 Symantec / Norton Core Router 375

3.26 Kaptivo 376

3.27 Oracle 381

3.28 Schlage IoT Devices 382

3.29 AGCO 382

3.30 Alibaba Group in Shanghai 384

3.31 Essence 384 4. INTERNET OF THINGS (IOT) RESEARCH AND TECHNOLOGY 386

4.1 Internet of Things (IoT) Research and Technology 386

4.2 IoT Common Standards 387 4.2.1 oneM2M Standards Initiative 387

4.2.2 oneM2M Consists Of Eight Of The World's Preeminent Standards Development Organizations 388

4.2.3 IoT Standards Ecosystem Growth 390

4.2.4 Unified Communication Standards 391

4.3 Edge Computing 392

4.4 European Union Research & Innovation 393 4.4.1 IoT Large Scale Pilots (LSPs) for Testing and Deployment 395

4.4.2 Release 2 from oneM2M. 395

4.5 Wearable Technology 397

4.6 Blockchain 402 4.6.1 IBM Blockchain Fabric Uses the Linux Foundation Hyperledger Open Source Project 403

4.7 Connected Home Camera Technology 403 4.7.1 Connected Home Camera Cloud Technology 403

4.8 IFTTT 405 4.8.1 Wireless Technology 405

4.9 Wireless Communication Standards 405 4.9.1 Google / Nest / Thread 406

4.10 IBM and Texas Instruments Collaboratively Develop Lifecycle-Management for IoT Devices 408 4.10.1 IBM and Semtech 410

4.10.2 Lantronix Python Support For Its Intelligent Device Software Platform 411

5. INTERNET OF THINGS (IOT) COMPANY PROFILES 412

5.1 Aerialtronics 412

5.2 Adobe 412

5.3 Amazon 414 5.3.1 Amazon Business 414

5.3.2 Amazon Competition 414

5.3.3 Amazon Description 416

5.3.4 Amazon Revenue 420

5.4 Apple 421 5.4.1 Apple / AuthenTec 422

5.4.2 Authentec Revenue Recognition – Smart Sensors 424

5.4.3 Apple 425

5.4.4 Apple Business Strategy 426

5.4.5 Apple Products 427




5.4.6 Apple iPhone 427

5.4.7 Apple Mac Hardware Products 428

5.4.8 Apple iPod 429

5.4.9 Apple iTunes® 429

5.4.10 Apple Mac App Store 430

5.4.11 Apple iCloud 430

5.4.12 Apple Software Products and Computer Technologies 431

5.4.13 Apple Operating System Software iOS 431

5.4.14 Apple Mac OS X 431

5.4.15 Apple Third-Largest Mobile Phone Maker 431

5.4.16 Apple Revenue 432

5.4.17 Apple Revenue 434

5.5 AutoDesk 436 5.5.1 AutoDesk CAD-in-the-Cloud 439

5.6 Bosch 440

5.7 Cisco Systems 441 5.7.1 Cisco Business 441

5.7.2 Cisco Strategy and Focus Areas 442

5.7.3 Cisco Leverages Market Transitions 444

5.7.4 Cisco Addresses Digital Transformation 445

5.7.5 Cisco Software-Defined Networking 447

5.7.6 Cisco Cloud Strategy 448

5.7.7 Cisco Switching 448

5.7.8 Cisco Spark 451

5.7.9 Cisco Data Center 451

5.7.10 Cisco UCS Mini Edge Of The Network Solution 453

5.7.11 Cisco Competition 454

5.7.12 Cisco Revenue 456

5.8 Digi International 457

5.9 Cybus 457

5.10 Enevo Oy Technologies 458

5.11 Essence 459

5.12 General Electric 463 5.12.1 GE Revenues 466

5.12.2 GE Wireless Sensor Networks 467

5.12.3 GE's XMTC Thermal Conductivity Transmitter 471

5.12.4 GE's 300 Pressure Series Sensors 472

5.12.5 GE Applications for Wireless Sensor Networks 472

5.13 Google 476 5.13.1 Google Revenue 476

5.13.2 Google 477

5.13.3 Google Search Technology 478

5.13.4 Google Recognizes World Is Increasingly Mobile 478

5.13.5 Google Nest 479

5.13.6 Google / Nest Safety History 480

5.13.7 Google / Nest Learning Thermostat 482

5.13.8 Google Chromecast 483

5.14 Health Slam - IoT Slam 484

5.15 Huawei 484 5.15.1 Huawei 2016 Business 484

5.15.2 Huawei Smart Devices 486

5.15.3 Huawei Regional Strengths 486

5.15.4 Huawei Building Cloud Ecosystem 487

5.15.5 Huawei Adopting a Product + Service Strategy 488

5.15.6 Huawei Vision & Mission 490

5.15.7 Huawei Strategy 490

5.15.8 Huawei Corporate Governance 491




5.15.9 Huawei Research & Development 491

5.15.10 Huawei Cyber Security 491

5.15.11 Huawei Partners with China Telecom, Shenzhen Gas On Smart Utility 491

5.16 IBM Corporation 492 5.16.1 IBM IoT Strategy 492

5.16.2 IBM Cloud Computing 494

5.16.3 IBM Business Model 495

5.16.4 IBM 496

5.16.5 IBM Messaging Extension for Web Application Pattern 496

5.16.6 IBM MobileFirst 496

5.16.7 IBM Business Analytics and Optimization Strategy 497

5.16.8 IBM Growth Market Initiatives 497

5.16.9 IBM Business Analytics and Optimization 498

5.16.10 IBM Strategy Addresses Volatility of Information Technology (IT) Systems 499

5.16.11 IBM Smarter Planet 500

5.17 Infineon Technologies AG 501 5.17.1 Automotive 502

5.17.2 Infineon Industrial Power Control 502

5.17.3 Infineon Power Management & Multimarket 503

5.17.4 Infineon Chip Card & Security 503

5.18 Intel Corporation 504 5.18.2 Intel Company Strategy 505

5.18.3 Intel In The Internet Of Things Market Segment 507

5.18.4 Intel Competitive Advantages 508

5.18.5 Intel Acquires Mobileye 509

5.19 Internet of Things Community 509

5.20 KT 510

5.21 Microsoft 511 5.21.1 Microsoft Revenue 511

5.22 Microsoft 511 5.22.1 Microsoft / Mojang AB Minecraft 511

5.22.2 Microsoft Reportable Segments 512

5.22.3 Microsoft Revenue by Segment 514

5.22.4 Skype and Microsoft 515

5.22.5 Microsoft / Skype / GroupMe Free Group Messaging 516

5.22.6 Microsoft SOA 517

5.22.7 Microsoft .Net Open Source 519

5.22.8 Microsoft Revenue 520

5.23 MuleSoft 521

5.24 Nokia 522 5.24.1 Nokia IMPACT IoT Platform 524

5.25 oneM2M 527

5.26 Panoramic Power 528 5.26.1 Panoramic Power's Wireless, Self-Powered Snap & Play Sensors 528

5.26.2 Panoramic Power Bridge 532

5.27 Oracle 533

5.28 PTC 534

5.29 Qualcomm 534 5.29.1 Qualcomm Standards and Industry Organizations Group 535

5.30 Samsung 537 5.30.1 Samsung Finds Talent And Adapts Technology To Create Products 538

5.30.2 Samsung Adapts to Change, Samsung Embraces Integrity 539

5.30.3 Samsung Telecom Equipment Group 540

5.30.4 Samsung Memory Over Logic 541

5.30.5 Samsung Agreed to Buy Harman 542

5.30.6 Harman International Industries (ADITI TECHNOLOGIES) 542

5.31 SAP 543




5.31.1 SAP Easier IoT Adoption: 543

5.32 Schaeffler 544

5.33 Sierra Wireless Business and Innovation Development 545 5.33.1 Sierra Wireless Modules 545

5.34 Sigfox 546 5.34.1 Sigfox Secures New Funding, Eyes Rapid Network Expansion 546

5.35 Softbank 547 5.35.1 SoftBank Segments 547

5.35.2 Softbank Personal Brain “IBM Watson” 549

5.35.3 Softbank Sprint Segment 549

5.35.4 Softbank Yahoo Japan Segment 550

5.35.5 Softbank E-Commerce Business 551

5.35.6 Softbank Distribution Segment 552

5.35.7 Fukuoka SoftBank HAWKS Related Business and Other Businesses 554

5.35.8 SoftBank ARM Acquisition Brings Internet of Things 555

5.36 Spirent 556 5.36.1 Spirent Wireless & Positioning 557

5.36.2 Spirent Service Assurance 557

5.37 STMicroelectronics 559

5.38 Symantec 562 5.38.1 Symantec / Norton 563

5.38.2 Norton Data-Driven Intelligence Network 564

5.38.3 Symantec / NortonHoneypots and Decoys 565

5.38.4 Symantec Security in Information-Driven World 567

5.38.5 Symantec Core Business Positioned for Growth 567

5.38.6 Symantec Acquires VeriSign Security Business 569

5.38.7 VeriSign Check Mark Signifying Trust Online 569

5.38.8 Symantec Creating Trusted Interactions Online 570

5.39 Schneider Electric Software, Llc. 571

5.40 Uber 573

5.41 UIB 573

5.42 Zebra 575 5.42.1 NFL And Zebra Technologies Expand On Third Year Of Game-Changing Partnership 578

5.42.2 Zebra Instrumented Football 578

5.42.3 Zebra Regional Analysis 581

5.43 ZTE 582 5.43.1 ZTE Demonstrates Smart NB-IoT solutions 582

5.44 Appendix A: Selected IoT Market Participants 583 5.44.1 Internet of Things Companies 2016 583

5.44.2 Amazon Web Services 583

5.44.3 AT&T 584

5.44.4 Axeda 584

5.44.5 Cisco 584

5.44.6 Facebook 585

5.44.7 General Electric 585

5.44.8 Google 585

5.44.9 HP 586

5.44.10 HP / Aruba Networks 586

5.44.11 IBM 586

5.44.12 Intel 586

5.44.13 Microsoft 587

5.44.14 oneM2M 587

5.44.15 Oracle 589

5.44.16 SAP 589

5.44.17 Salesforce.com 589

5.44.18 Qualcomm 590

5.44.19 Cleangrow’s Carbon Nanotube Probe 590




5.44.20 Temputech Wireless Sensor Monitoring – 590

5.44.21 India Cotton Infestation 591

5.44.22 IoT Speakers 594

5.44.23 More IoT Companies 627

5.44.24 IoT Startups 638

5.45 Construction Automation 652

5.46 Selected IoT and IoT Wireless Sensor Networking Companies 653 WINTERGREEN RESEARCH, 673

WinterGreen Research Research Methodology 674

Figure 1. Internet of Things (IoT) Market Driving Forces 36

Figure 2. Key Areas Of The IoT Market 37

Figure 3. IoT Technology Market Driving Forces 38

Figure 4. IoT Technology Market Challenges 39

Figure 5. Internet of Things (IoT) Market Shares, Dollars, 2016 42

Figure 6. Internet of Things (IoT) Market Forecast, Dollars, Worldwide, 2017-2024 44

Figure 7. IoT Sensor Types 45

Figure 8. SAP Digital Machine-To-Machine (M2M) Technology 47

Figure 9. Cardiac Signal Segment 48

With IoT, APIs Are Used for Everything 49

Figure 10. Internet of Things: API Use Case Focus 52

Figure 11. IoT Ecosystem Collaborations 53

Figure 12. IoT Platform Use Case Requirements 56

Figure 13. Changing IoT Landscape Requires Platform Versatility 58

Figure 14. IoT Community issues. 60

Figure 15. IoT Use Cases: 61

Figure 16. STMicroelectronics Internet of Things (IoT) Portfolio Of Building Blocks 61

Figure 17. STMicroelectronics Internet of Things (IoT) Wearables and

Smart Home Applications 62

Figure 18. STMicroelectronics Internet of Things (IoT) Portfolio Of Applications 63

Figure 19. Internet of Things (IoT) Market Driving Forces 65

Figure 20. Key Areas Of The IoT Market 66

Figure 21. IoT Technology Market Driving Forces 67

Figure 22. IoT Technology Market Challenges 68

Figure 23. Internet of Things (IoT) Market Shares, Dollars, 2016 71

Figure 24. Internet of Things Market Shares Dollars, Worldwide, 2016 72

Figure 25. Intel IoT Watchdog Timer Can Help With Recovery 77

Figure 26. Essence: IoT Technology as Extension of Human Activity 80

Figure 27. Internet of Things (IoT) Market Forecast, Dollars, Worldwide, 2017-2024 82

Figure 28. Internet of Things Market Forecasts, Worldwide, 2017-2023 83

Figure 29. Characterizing IoT Solutions 83

Figure 30. IoT Smart Device Functions 84

Figure 31. Smart Phone Can Control More And More Devices 86

Figure 32. IoT Application Domains 87

Figure 33. Internet of Things (IoT) Market Forecast, Units, Worldwide, 2017-2024 88

Figure 34. Internet of Things Market Segments, Financial and Industrial and

Web Wireless Apps, Dollars, Forecast, Worldwide, 2017-2023 89

Figure 35. Internet of Things Market Segments, Financial and Industrial and

Web Wireless Apps, Units, Forecast, Worldwide, 2017-2023 90

Figure 36. Internet of Things Market Segments, Percent, Forecast, Worldwide, 2017-2023 91




Figure 37. Internet of Things Market Segments, Installed Base of Devices, Units, Forecast, Worldwide, 2017-2023 92

Figure 38. Internet of Things Market Segments, Security and Energy Management, Healthcare, Transportation and Self

Driving Cars, Agriculture and Weather, Financial, Industrial and Manufacturing, Dollars, Forecast, Worldwide, 2017-2023 94

Figure 39. Internet of Things Market Segments, Security and Energy Management, Healthcare, Transportation and Self

Driving Cars, Agriculture and Weather, Financial, Industrial and Manufacturing, Percent, Forecast, Worldwide, 2017-2023 95

Figure 40. Internet of Things Market Segment Analysis, Dollars, Worldwide, 2016 and 2023 96

Figure 41. Security and Energy Management Internet of Things (IoT) Market Forecast, Dollars,

Worldwide, 2017-2024 99

Figure 42. Security and Energy Management, Internet of Things

Market Segment, Dollars, Forecast, Worldwide, 2017-2023 100

Figure 43. Healthcare Internet of Things (IoT) Market Forecast, Dollars,

Worldwide, 2017-2024 104

Figure 44. Healthcare, Internet of Things Market Segments, Dollars, Forecast,

Worldwide, 2017-2023 105

Figure 45. Transportation and Self Driving Cars Internet of Things (IoT)

Market Forecast, Dollars, Worldwide, 2017-2024 110

Figure 46. Transportation and Self Driving Cars Internet of Things Market, Internet of

Things Market Segments, Transportation and Self Driving Cars, Dollars, Forecast, Worldwide,

2017-2023 111

Figure 47. Sensor and Computing Configurations for Cars Driving Themselves 112

Figure 48. Agriculture and Weather Internet of Things (IoT) Market Forecasts, Dollars,

Worldwide, 2017-2024 116

Figure 49. Agriculture and Weather, Internet of Things Market Segments, Dollars,

Forecast, Worldwide, 2017-2023 117

Figure 50. Two Billion Sensors Used In Farms Globally by End of Forecast Period 120

Figure 51. Agriculture Internet of Things: Venture Investment 121

Figure 52. Agricultural Sector The Technological Development of Internet of Things 123

Figure 53. Drone Low Altitude Tracking and Avoidance Systems 125

Figure 54. IoT Integrated Pest Management or Control 127

Figure 55. Pest Management & Control Fundamental Modules – 127

Figure 56. IoT Apple Sensing 128

Figure 57. Phenonet Project by Open IoT Performance Goals 129

Figure 58. CLAAS IoT Equipment 130

Figure 59. Industrial and Manufacturing Internet of Things (IoT) Market Forecast,

Dollars, Worldwide, 2017-2024 132

Figure 60. Industrial and Manufacturing, Internet of Things Market Segment,

Dollars, Forecast, Worldwide, 2017-2023 133

Figure 61. Hitachi Analytics Platform Integrates Production And Sensor Data

Outputs In A Polymer Mixing Process 137

Figure 62. Financial Internet of Things (IoT) Market Forecast, Dollars,

Worldwide, 2017-2024 140

Figure 63. Financial Internet of Things Market Segment, Dollars, Forecast,

Worldwide, 2017-2023 141

Figure 64. Redtone Smart City Solutions 148

Figure 65. Redtone Smart City Worldwide Addressable Market: 149

Figure 66. Mid Infrared (IR) Sensor Shipments, Market Forecasts, Dollars,

Worldwide, 2016-2022 154

Figure 67. Mid IR Sensor Total Market Dollars, Worldwide, 2016-2022 156

Figure 68. Mid IR Sensor Market Forecasts, Units, Worldwide, 2016-2022 157

Figure 69. Mid IR Sensor Market Forecasts, Units, Worldwide, 2016-2022 158

Figure 70. Mid IR Sensors: Dollars And Units, High End, Mid-Range, And Low End,

Shipments, Worldwide, 2016-2022 158

Figure 71. Mid IR Sensor Market Forecasts, High End, Mid-Range, And Low End Units,




Worldwide, 2016-2022 161

Figure 72. Applications for Mid IR Sensors 162

Figure 73. Mid IR Sensor Applications Market Segments, Dollars, Worldwide, 2016-2022 163

Figure 74. Internet of Things Regional Market Segments, Dollars, 2016 165

Figure 75. Internet of Things (IoT) Regional Market Segments, Dollars, Worldwide, 2016 166

Figure 76. Digitizing European Industry Policy Initiatives: 172

Figure 77. IBM Global Headquarters for Watson IoT in Germany 179

Figure 78. IBM Watson IoT Sensor Locations 180

Figure 79. IBM IoT Technological Transformation 181

Figure 80. Connected Payments Product Categories 185

Figure 81. Aerialtronics Drone Inspection Data 191

Figure 82. Aerialtronics Drone Inspects Cell Tower Streams Images and Data 192

Figure 83. IBM Watson Internet of Things / Aerialtronics Commercial Drones 194

Figure 84. IBM IoT Topics 199

Figure 85. IBM Blockchain 202

Figure 86. IBM Flow Integration of Watson IoT Platform Implements Blockchain 204

Figure 87. IBM Supply Chain IoT Continuous Container Tracking 206

Figure 88. Web Transactions Implemented by IBM Blockchain 207

Figure 89. A Distributed IoT Shared Ledger Built On IBM Blockchain Offers

Visibility, Trust, And Permanence 209

Figure 90. A Shared Ledger Built on Blockchain Offers Visibility, Trust, and Permanence 210

Figure 91. Blockchain Attributes Framework: 211

Figure 92. IBM Blockchain Interactions 213

Figure 93. IBM Use Cases for IoT and Blockchain 215

Figure 94. Selected IBM Blockchain Clients 218

Figure 95. IBM Blockchain Offerings 219

Figure 96. Intel® Joule™ Module 220

Figure 97. Intel IoT Watchdog Timer Can Help With Recovery 222

Figure 98. Intel IoT External Watchdog Timer 223

Figure 99. Intel® IoT Gateway Technology—Turn Data into Action: Video 224

Figure 100. Intel® RealSense™ Camera (R200) 225

Figure 101. Microsoft Azure IoT Suite 226

Figure 102. Microsoft Azure IOT Suite Functions 227

Figure 103. Microsoft IoT Predictive Maintenance Functions 228

Figure 104. Microsoft Protecting IoT Solutions Issues 229

Figure 105. Microsoft Azure Primary Security Areas 232

Figure 106. Azure IoT Suite 232

Figure 107. HPE Universal IoT Platform Benefits: 237

Figure 108. HPE IoT Monetization 241

Figure 109. Hewlett Packard IoT DS Virgin Racing Team Electric Car Efficiency 241

Figure 110. Hewlett Packard IoT Ford Motor Big Data, Cloud, and Security 243

Figure 111. Apple IoT Control Accessories in the Home: Security Systems,

Appliances, Cameras And Door Locks. 246

Figure 112. Apple Aggregation of Devices to Be Controlled Using Scene System 247

Figure 113. Schneider Electric Smart City Carson City Initiative 250

Figure 114. Google / Nest Learning Thermostat 254

Figure 115. Cisco IoT System Modules 257

Figure 116. Cisco IoT System Industry Sectors 258

Figure 117. Cisco IoT System Functions 259

Figure 118. Cisco IOx Features 262

Figure 119. Cisco IoT Analytics Infrastructure Functions: 263

Figure 120. Cisco Connected Streaming Analytics (CSA) Platform Features 266

Figure 121. Cisco Connected Streaming Analytics (CSA) Platform Functions 267




Figure 122. Cisco Connected Streaming Analytics Functions 268

Figure 123. Cisco Addresses Why Streaming Analytics Matter 269

Figure 124. Streaming Analytics Uses Within Enterprise Organization 270

Figure 125. Cisco Benefits of Connected Streaming Analytics 270

Figure 126. Cisco Country Digitization 272

Figure 127. Samsung SmartThings 273

Figure 128. Samsung Smart Home devices 276

Figure 129. Steps to integrate the Partner Cloud and Smart Home Cloud 277

Figure 130. Samsung Digital Health Service 280

Figure 131. Samsung IOFIT Smart Shoes 283

Figure 132. Samsung IOFIT Application 284

Figure 133. Samsung SHNL 285

Figure 134. Smart Wearable Healthcare Belt WELT 286

Figure 135. Samsung Home Security 287

Figure 136. Samsung Home Security Featured Products 287

Figure 137. AutoDesk: Manufacturing Eschews Making Physical Products 291

Figure 138. SAP Industrial Internet of Things 294

Figure 139. SAP Shop Floor IoT 294

Figure 140. SAP IoT Industries Targeted 295

Figure 141. SAP Business Intelligence 297

Figure 142. SAP IoT Positioning 298

Figure 143. SAP IoT Governance, Risk, and Compliance Management 299

Figure 144. SAP Predictive Analytics Benefits 300

Figure 145. SAP Predictive Modeling Functions 301

Figure 146. SAP Value of IoT Scoring 302

Figure 147. Power of Predictive Analytics with SAP Hana 303

Figure 148. The Power of Predictive Analytics with SAP HANA 304

Figure 149. SAP Internet Of Things (IOT) Product Categories 305

Figure 150. Siemens Perspective of Billions of Things, Trillions of Dollars 306

Figure 151. Siemens Intelligent Gateway 311

Figure 152. Siemens Gateway for Simatic IOT2040 Functions 312

Figure 153. Siemens Gateway for Simatic IOT2040 Reliable and Open Platform 313

Figure 154. Siemens SIMATIC IOT2000 Interface to the ERP System and

Communication of Automation Components 315

Figure 155. Cooperation Of Siemens With SAP To Create Open Cloud Platform Functions 317

Figure 156. Bosch IoT Suite Comprehensive Components 320

Figure 157. Software Services of the Bosch IoT Suite 321

Figure 158. Bosch IoT Suite Connecting Five Million Devices And Machines 322

Figure 159. Bosch IoT Suite Services 323

Figure 160. Bosch IoT Suite Device Connection Features 324

Figure 161. Bosch IoT Suite Device Connection Functions 325

Figure 162. Bosch IoT Global System Integrator Partnerships 325

Figure 163. Bosch IoT Technology Partners: 326

Figure 164. Bosch IoT Memberships 326

Figure 165. Bosch IoT Joint Research Ventures 326

Figure 166. Bosch Metrics for Optimization of Information from Machines and Devices 329

Figure 167. Bosch Guidelines for a One-Way Exchange of Information To

Address Machine Messages And Measurements 330

Figure 168. Bosch IoT Project: Eclipse Unide Sensors Monitor Temperature, Vibration,

Energy Consumption, and Wear 333

Figure 169. Huawei Technologies IoT Features 334

Figure 170. Huawei IoT Services Orchestration Functions: 336

Figure 171. Huawei Addresses Differentiated IoT Requirements 337




Figure 172. Huawei Addresses Differentiated IoT Functions 338

Figure 173. Huawei IoT Authentication Protocols 339

Figure 174. Huawei IoT Application & Benefits 340

Figure 175. Harman Embedded Infotainment Solutions Features 342

Figure 176. Symantec IoT Industries Targeted 348

Figure 177. AT&T IoT Control Center IoT Information Interconnection

Management Features 353

Figure 178. ATT IoT Controller Center 354

Figure 179. ATT IoT Platform Functions 355

Figure 180. ATT M2X Benefits 356

Figure 181. ATT IoT Libraries and Devices 357

Figure 182. AT&T M2X Features 358

Figure 183. AT&T M2X Management Features 359

Figure 184. AT&T M2X Modules 360

Figure 185. AT&T IoT Services Help Maximize Uptime In The Manufacturing Industry 361

Figure 186. SoftBank IoT Environment Industry Sectors 365

Figure 187. Softbank LPWA Network Usage Examples 366

Figure 188. Softbank LoRa Alliance Solutions Definitions 368

Figure 189. SoftBank Partners for the LoRaWAN™ Network Deployment: 369

Figure 190. Norton Core Router 375

Figure 191. Kaptivo Electronic White Borad Features 377

Figure 192. Kaptivo Key Benefits: 378

Figure 193. Kaptivo Key Features: 379

Figure 194. Kaptivo Functions: 380

Figure 195. Essence Seamless Integration of Things and Lifestyle 385

Figure 196. IoT Chip Manufacturers Technology Suppliers 386

Figure 197. oneM2M Eight Of The World's Preeminent Standards

Development Organizations 388

Figure 198. oneM2M Industry Fora Or Consortia 389

Figure 199. Unified Communication Standards 391

Figure 200. Wearable Technology Applications 397

Figure 201. Connected Home Camera Cloud Technology Features 404

Figure 202. Wireless Communication Standards 406

Figure 203. Thread Group Members Working To Develop An Ip-Based

Wireless Networking Protocol For Connected-Home Products 407

Figure 204. Amazon Principal Competitive Factors In The Online Retail Business 415

Figure 205. Amazon Improving Customer Experience Functions 417

Figure 206. Amazon Ways To Achieve Efficiency In Technology For Operations 419

Figure 207. Cisco Technology Foundation For Digital Transformation 446

Figure 208. Cisco Unified Computing System Portfolio Of Solutions Functions 452

Figure 209. Essence Partners 459

Figure 210. Essence IoT End-to-End Solutions 460

Figure 211. Essence IoT Smart Home Digital Offerings 461

Figure 212. Essence Multi-service IoT Platform Functions 461

Figure 213. Essence Security for Home and Going Beyond Security Features 462

Figure 214. Essence Home IoT Positioning 463

Figure 215. GE Operating Segments 463

Figure 216. GE Wireless Sensor Networks 470

Figure 217. GE Sensor Networks 475

Figure 218. Google / Nest Protect 479

Figure 219. Google / Nest Learning Thermostat 482

Figure 220. Internet of Things Community Functions 509

Figure 221. Microsoft Productivity and Business Processes Segment 512




Figure 222. Microsoft Intelligent Cloud Segment 513

Figure 223. Microsoft / Skype / GroupMe Free Group Messaging 516

Figure 224. Microsoft Service Orientated Architecture SOA Functions 518

Figure 225. oneM2M Use Cases And Requirements For A Common

Set of Service Layer Capabilities; 527

Figure 226. Deploying Panoramic Power's Data Collection Sensors 529

Figure 227. Panoramic Power Wireless Device Features 531

Figure 228. Oracle IoT Positioning 533

Figure 229. Softbank Brightstar Specialized Wireless Industry Wholesaler Functions 553

Figure 230. STMicroelectronics Internet of Things (IoT) Portfolio Of Building Blocks 559

Figure 231. STMicroelectronics Internet of Things (IoT) Wearables and

Smart Home Applications 560

Figure 232. STMicroelectronics Internet of Things (IoT) Portfolio Of Applications 561

Figure 233. Symantec / Norton Internet Security Image 563

Figure 234. Symantec Creating Trusted Interactions Online 570

Figure 235. Schneider Electric industrial software Solutions Functions 572

Figure 236. Zebra Application of IoT in Healthcare 576

Figure 237. Zebra IoT Healthcare Areas of Expertise 577

Figure 238. Zebra National Football League (NFL) IoT RFID Tag Functions 579

Figure 239. Zebra Global Market Presence 581

Figure 240. oneM2M Consists Of Eight Of The World's Preeminent ICT Standards

Development Organizations 588

ABOUT THE COMPANY

WinterGreen Research, research strategy relates to identifying market trends through reading and interviewing opinion leaders. By using analysis of published materials, interview material, private research, detailed research, social network materials, blogs, and electronic analytics, the market size, shares, and trends are identified. Analysis of the published materials and interviews permits WinterGreen Research senior analysts to learn a lot more about markets. Discovering, tracking, and thinking about market trends is a high priority at WinterGreen Research. As with all research, the value proposition for competitive analysis comes from intellectual input.

WinterGreen Research, founded in 1985, provides strategic market assessments in telecommunications, communications equipment, health care, Software, Internet, Energy Generation, Energy Storage, Renewable energy, and advanced computer technology. Industry reports focus on opportunities that expand existing markets or develop major new markets. The reports access new product and service positioning strategies, new and evolving technologies, and technological impact on products, services, and markets. Innovation that drives markets is explored. Market shares are provided. Leading market participants are profiled, and their marketing strategies, acquisitions, and strategic alliances are discussed. The principals of WinterGreen Research have been involved in analysis and forecasting of international business opportunities in telecommunications and advanced computer technology markets for over 30 years.




The studies provide primary analytical insight about the market participants. By publishing material relevant to the positioning of each company, readers can look at the basis for analysis. By providing descriptions of each major participant in the market, the reader is not dependent on analyst assumptions, the information backing the assumptions is provided, permitting readers to examine the basis for the conclusions.

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The increasingly global nature of science, technology and engineering is a reflection of the implementation of the

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ABOUT THE PRINCIPAL AUTHOR

Susan Eustis, President, co-founder of WinterGreen Research is a senior analyst. She has done research in healthcare, communications and computer markets and applications. She has written about computer assisted coding and participated in the research on that topic for the past seven years. She holds several patents in microcomputing and parallel processing. She has the original patents in electronic voting machines. She has new patent applications in format varying, mulit-processing, and electronic voting. She is the author of recent studies of the Internet, Mega Data Centers, Cloud computing, Surgical Robots, drones, Agricultural robots, Industrial robots, Solar Renewable Energy, Wind Energy, Thin Film Batteries, Business Process Management marketing strategies, Internet equipment, biometrics, a study of Internet Equipment, Worldwide Telecommunications Equipment, Top Ten Telecommunications, Digital Loop Carrier, Web Hosting, Web Services, and Application Integration markets. The company wrote the first Internet study. They are experts in oxygen markets. Ms. Eustis is a graduate of Barnard College. Worldwide Who’s Who named her Top Female CEO of 2012, 2013, 2014, 2015, 2016.

About the WinterGreen Research Team: The WinterGreen Research Team is comprised of senior analysts that prepare the market research and analysis that is offered to the client and developed using an iterative process to achieve a final study. Typical projects include providing market/viability research. The team can look at how drones can be applied to critical infrastructures safety, including: type of market existing, Barriers, Forecast demand and competitors, SWOT and competitive advantages, Price Analysis, product design recommendations (marketing orientation).

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