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市場調查報告書

IoT、穿戴式處理器的指南

A Guide to Processors for IoT and Wearables, Second Edition

出版商 Linley Group 商品編碼 326410
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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IoT、穿戴式處理器的指南 A Guide to Processors for IoT and Wearables, Second Edition
出版日期: 2016年04月27日 內容資訊: 英文
簡介

物聯網 (IoT) 市場由於其多樣性和IoT正確是意味什麼缺乏明確性,而檢測困難。許多預測專家,估計至2020年運作的IoT設備為250億,或500億,甚至是750億,不過,這些曖昧的預測中,大抵包含智慧型手機,PC以及其他現有的客戶設備。本報告為了闡明各個漸進性的機會,調查各種類的IoT市場。還有也明示所需的價格分佈、技術性性能。

本報告提供IoT、穿戴式處理器市場相關調查,技術、平台概要,各種類分析、預測,主要企業簡介,及產品比較等。

目錄

表格

關於作者

關於出版社

序文

摘要整理

第1章 IoT的用途

  • IoT基礎設施
  • 產業的IoT
  • 消費者取向IoT
  • 連接型家電
  • 穿戴式設備

第2章 IoT的技術

  • CPU微架構
    • 指令的課題
    • 開發平台方式、懲罰
    • 快取
  • 安全標準
    • 加密
    • hash法
  • 多媒體標準
    • 視訊解析度、畫面更新率
    • 音訊快取
    • 視訊快取
    • 圖形標準
    • GPU-計算標準
  • 標準介面
    • SPI、UART
    • 記憶卡
    • 音訊介面
    • 顯示器、相機感測器
    • USB
  • 行動電話技術
    • 3G技術
    • 3.5技術
    • 4G技術
    • IoT用LTE
  • 連接技術
    • Wi-Fi
    • Bluetooth
    • 其他無線標準
  • 感測器
  • 模擬接口
    • 信號轉換
    • 其他模擬接口

第3章 IoT的平台

  • IoT實行
  • 穿戴式實行
  • IoT平台、標準
    • AllSeen Alliance
    • Apple HomeKit
    • Amazon IoT
    • Open Connectivity Foundation
    • Industrial Internet Consortium
    • LoRa Alliance
    • Mbed (ARM)
    • Thread (Nest)
    • Icontrol Networks
    • IEEE P2413
  • 穿戴式軟體平台
    • Android Wear
    • Apple WatchKit
    • Tizen

第4章 市場預測

  • 工業IoT
  • 智慧城市
  • 消費者用IoT
  • 聯網汽車、家電
  • 穿戴式設備
  • 市場預測
    • 安裝基礎
    • 處理器收益
    • 無線不同連接出貨台數
  • 不確定性、調整

第5章 Broadcom

  • 企業背景
  • 主要的特徵、業績
  • 內部架構
  • 系統設計
  • 開發工具
  • 產品藍圖
  • 結論

第6章 Intel

第7章 Marvell

第8章 MediaTek

第9章 NXP (Freescale)

第10章 Texas Instruments

第11章 其他的供應商

  • Atmel
  • Ineda
  • Qualcomm
  • Realtek
  • Samsung
  • Silicon Labs
  • STMicroelectronics
  • 東芝

第12章 IoT處理器比較

  • 圖表的讀法
  • Wi-Fi設備用處理器
    • 低價格Wi-Fi處理器
    • 高性能Wi-Fi處理器
  • 802.15.4設備的處理器
  • 穿戴式處理器
    • 初學者等級的穿戴式處理器
    • 低價格穿戴式處理器
    • 高性能穿戴式處理器

第13章 結論

  • 市場概要
  • 產業趨勢
  • 技術趨勢
  • 廠商簡介
  • 結論

附錄

目錄

圖表清單

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目錄

Understanding the Internet of Many, Many Things

The Internet of Things (IoT) is a buzzword that encompasses a wide range of end products, ranging from industrial control to home automation, from smart utility meters to networked refrigerators, from connected cars to smart watches. Almost any embedded system can be turned into an IoT device by simply adding a wired or wireless Internet connection. This simplicity enables a rapid pace of innovation - some good and some not.

The IoT market is difficult to measure because of its diversity and the lack of clarity as to what exactly IoT means. Many forecasters expect 25 billion or 50 billion or 75 billion IoT devices will be active in 2020, but these vague estimates often include smartphones, PCs, and other existing client devices. We instead examine the IoT market segment by segment to identify specific incremental opportunities. This approach also exposes the price points and technical capabilities that will be required.

Today, many IoT products use standard embedded processors or microcontrollers (MCUs), but the market is still quite nascent. Although industrial devices, such as smart meters, may cost more than $100, consumer devices will require lower prices to enable the expected growth. As the bill-of-materials (BOM) cost, or incremental BOM in the case of an appliance or car, falls below $10, low-cost processors and connectivity chips are required. In many cases, the processor and wireless chips will come from the same supplier or will be integrated onto the same chip. This approach simplifies the system design and reduces cost.

Many chip vendors are already developing or delivering products that combine a processor and a wireless connection. Depending on the target applications, the type of connectivity could be Wi-Fi, Bluetooth, Zigbee, or proprietary sub-1GHz protocols. "A Guide to Processors for IoT and Wearables" focuses on this emerging product category of integrated IoT processors.

Unlike typical market research, this report provides technology analysis and head-to-head product comparisons. Which chips will win designs and why? How will these vendors be positioned as the Internet of Things continues to grow? Only The Linley Group's unique technology analysis can provide this forward-looking view.

We Sort Out the Market and the Products

"A Guide to Processors for IoT and Wearables" begins with an extensive overview of this complex market, breaking it down into several segments such as industrial, smart meters, home automation, connected appliances, and wearable devices. For each segment, we discuss the processor and connectivity requirements as well as cost and power. We also provide a forecast for each segment, indicating how the IoT is likely to grow.

Following the introductory chapters, the report delivers detailed coverage of integrated IoT processors from Broadcom, Freescale, Marvell, MediaTek, Realtek, Texas Instruments, and Toshiba. It also covers IoT-focused processors from Atmel, Ineda, Intel, NXP, Samsung, Silicon Labs, and STMicroelectronics. For each of these vendors, we discuss the company's strategy for IoT, its relevant products and technologies, and expected future directions. The report includes technical specifications for the relevant announced products and discusses how well they fit their target applications.

The report concludes with a comparison of these products, broken down by application, to highlight which products and vendors are best positioned to succeed in IoT. Finally, we offer our outlook for the leading vendors and for the overall market.

Make Informed Decisions

As the leading vendor of technology analysis for processors, The Linley Group has the expertise to deliver a comprehensive look at the full range of chips designed for a broad range of IoT applications. Principal analyst Linley Gwennap and Senior Analysts Mike Demler and Loyd Case use their experience to deliver the deep technical analysis and strategic information you need to make informed business decisions.

Whether you are looking for the right chip for your IoT application or seeking to partner with or invest in a chip vendor, this report will cut your research time and save you money. Make the intelligent decision, order "A Guide to Processors for IoT and Wearables" today.

This report is written for:

Engineers designing IoT or wearable chips or systems

What's New

What's New in this Edition

"A Guide to Processors for IoT and Wearables" has been updated to incorporate new announcements made since the publication of the previous edition.

Here are some of the many changes you will find:

  • Updated information on emerging trends and standards
  • Coverage of new processors from Atmel, Intel, MediaTek, and NXP
  • Market growth and market share predictions for the coming years
  • New coverage of Samsung's Artik IoT processors and bioprocessor for health and fitness wearables
  • Silicon Labs' extensive Gecko family of wireless microcontrollers

Executive Summary

The "Internet of Things" (IoT) is one of the most overused terms in the semiconductor industry, yet its definition remains unclear. Some people use the IoT label for any Internet-connected device, including set-top boxes, smartphones, and PCs. Rather than applying this label to large established markets, we prefer to focus on new markets, allowing us to gauge IoT's true incremental value. A new class of processors is emerging to meet the unique requirements of these markets.

Initial forecasts of 50 billion IoT devices by 2020 were wildly optimistic, even though they included all Internet devices. Our forecast - which excludes established markets - predicts shipments of 1.9 billion IoT and wearable devices in 2020. By comparison, we expect 2.2 billion smartphones to ship that year. Our forecast shows a total installed base of about 6 billion devices in 2020; adding 10 billion to cover established markets brings the total to 16 billion Internet-connected devices that year.

Our forecast assumes consumer devices will become the biggest contributor to IoT volume, as consumers far outnumber factories and farms. We limit the target market for consumer IoT to the 600 million households worldwide that will have Wi-Fi and broadband connectivity in 2020, not the seven billion individuals on the planet. Because the value proposition for IoT products (except smart meters) remains unproven, forecasts for the number of IoT devices per household, factory, or farm are quite speculative. Our model shows an average of nine IoT devices per target household in 2020.

To reach this deployment rate, low cost is essential. Initial prices include $349 for a Galaxy Gear smartwatch, $250 for the Nest thermostat, $278 for the Goji smart lock, and $79 for a Lifx light bulb. These prices have already dropped; we expect their price to fall below $100 and in many cases below $50. Some reduction will come from economies of scale and lower margins, but to achieve these price cuts, the bill-of-materials (BOM) cost must also fall.

As in other high-volume markets, application-specific semiconductor products (ASSPs) will emerge, reducing BOM cost through integration. Because most IoT devices have a wireless connection, integrating the processor and the radio is becoming common. IoT processors often integrate memory (RAM and ROM) as well. Analog interfaces (including analog/digital converters) can connect the processor to sensors, motors, and actuators. This level of integration also reduces power consumption, which is critical in wearables and other battery-operated devices, such as remote sensors.

Because IoT covers many different applications, processing and wireless requirements vary. Many IoT devices perform little processing, merely uploading their data to a cloud service and executing simple commands. Others, such as security cameras, may analyze the data locally. Devices with a user interface require more processing. Most consumer IoT devices use Wi-Fi, but to reduce cost and power, others use IEEE 802.15.4 or similar protocols. Wearables typically communicate with a nearby smart-phone using Bluetooth. Vehicles and some industrial devices rely on cellular communications.

Many chip vendors have already jumped into the IoT market. Broadcom, Marvell, MediaTek, and Realtek have added a programmable CPU to their existing wireless chips to create integrated IoT processors. Many of these chips include a proven Wi-Fi radio and are well suited to consumer IoT devices. Marvell is the only vendor supporting the full range of IoT protocols: cellular, Wi-Fi, Bluetooth, and ZigBee (802.15.4).

Atmel, NXP, Silicon Labs, STMicroelectronics, and Texas Instruments have instead added wireless to their existing microcontrollers. These processors have limited CPU horsepower, but they often integrate memory and analog interfaces to reduce system cost. Most of them support simple protocols such as 802.15.4 and Bluetooth, which also minimizes power. TI is the only vendor in this group that has integrated Wi-Fi, based on its former mobile-connectivity products.

Many wearables shipping today (including the Apple Watch) use repurposed smartphone processors. MediaTek has gone the extra mile and designed a highly integrated processor for smartwatches. Qualcomm rolled out its first processor branded for wearables. Samsung offers the Artik 1 module, which uses a custom processor from startup Ineda.

Intel generates large "IoT" revenues from its embedded x86 processors, but it has yet to integrate x86 and wireless (other than cellular) on the same chip. The company's Curie module combines its Quark SE processor with Bluetooth, memory, and analog components. This multichip approach is power hungry and costly, but it could eventually lead to an integrated solution.

Each of these initial processor offerings has significant shortcomings that prevent it from addressing the entire IoT market. As long as IoT demand remains unproven, chip vendors will be hesitant to invest large sums in ASSP development. Once a few IoT devices achieve high volumes, some vendors will improve their products to meet the needs of those applications. But the IoT market is broad enough to accommodate a large number of suppliers. This report explains what IoT and wearable devices each vendor can address today, as well as what technologies each can use to develop future ASSPs for these applications.

Table of Contents

List of Figures

List of Tables

About the Authors

About the Publisher

Preface

Executive Summary

1 IoT Applications

  • IoT Infrastructure
  • Industrial IoT Applications
  • Consumer IoT
  • Connected Appliances
  • Wearable Devices

2 IoT Technologies

  • CPU Microarchitecture
    • Instruction Issue
    • Pipelining and Penalties
    • Caches
  • Security Standards
    • Encryption
    • Hashing
  • Multimedia Standards
    • Video Resolution and Frame Rates
    • Audio Codecs
    • Video Codecs
    • Graphics Standards
    • GPU-Compute Standards
  • Standard Interfaces
    • SPI and UART
    • Memory Cards
    • Audio Interfaces
    • Displays and Camera Sensors
    • USB
  • Cellular Technologies
    • 3G Technologies
    • 4G Technologies
    • LTE for IoT
  • Connectivity Technologies
    • Wi-Fi
    • Bluetooth
    • Other Wireless Standards
  • Sensors
  • Analog Interfaces
    • Signal Conversion
    • Other Analog Interfaces

List of Figures

  • Figure 1-1. Example of a complete IoT network.
  • Figure 2-1. CPU pipelining examples.
  • Figure 3-1. Block diagram of a smart meter.
  • Figure 3-2. Block diagram of a high-end smartwatch.
  • Figure 3-3. Block diagram of ARM Mbed operating system.
  • Figure 3-4. Communication between Apple Watch and iPhone.
  • Figure 4-1. IoT unit share by market segment, 2021.
  • Figure 4-2. IoT unit forecast by market, 2014-2023.
  • Figure 4-3. IoT unit installed base, 2014-2023.
  • Figure 4-4. IoT chip-revenue forecast by market, 2014-2023.
  • Figure 4-5. IoT unit forecast by radio type, 2014-2023.
  • Figure 5-1. Block diagram of Broadcom BCM43907.
  • Figure 5-2. Block diagram of Broadcom wearable platform.
  • Figure 6-1. Block diagram of Intel Quark MCU.
  • Figure 6-2. Block diagram of Intel Quark D1000 customer reference board.
  • Figure 7-1. Block diagram of Marvell MW300.
  • Figure 8-1. Block diagram of MediaTek MT7687.
  • Figure 8-2. Block diagram of MediaTek MT2523.
  • Figure 8-3. Block diagram of MediaTek MT2601 in an Android Wear device.
  • Figure 9-1. Block diagram of NXP Kinetis KW41Z.
  • Figure 9-2. Block diagram of a robot controller using a KW40Z processor.
  • Figure 10-1. Block diagram of TI MSP432.
  • Figure 10-2. Block diagram of TI CC26xx.
  • Figure 10-3. Block diagram of a smart plug using the CC3200.
  • Figure 10-4. Block diagram of a sensor tag using the CC3200.

List of Tables

  • Table 2-1. Standard screen sizes.
  • Table 2-2. Cellular technologies for IoT.
  • Table 3-1. Leading IoT ecosystems, platforms, and standards organizations.
  • Table 5-1. Key parameters for Broadcom IoT and wearable processors.
  • Table 6-1. Key parameters for Intel Quark processors.
  • Table 7-1. Key parameters for Marvell IoT processors.
  • Table 8-1. Key parameters for MediaTek IoT processors.
  • Table 8-2. Key parameters for MediaTek wearable processors.
  • Table 9-1. Key parameters for selected NXP Kinetis W-series MCUs.
  • Table 10-1. Key parameters for TI MCUs.
  • Table 11-1. Key parameters for Atmel MCUs.
  • Table 11-2. Key parameters for Ineda wearable processors.
  • Table 11-3. Key parameters for Snapdragon Wear processors.
  • Table 11-4. Key parameters for Realtek IoT controllers.
  • Table 11-5. Key parameters for Samsung IoT processors.
  • Table 11-6. Key parameters for selected Silicon Labs wireless MCUs.
  • Table 11-7. Key parameters for STMicroelectronics wireless MCUs.
  • Table 11-8. Key parameters for Toshiba App Lite processors.
  • Table 11-9. Key parameters for Toshiba TZ1000 processors.
  • Table 12-1. Comparison of low-cost IoT processors for Wi-Fi devices.
  • Table 12-2. Comparison of high-performance IoT processors for Wi-Fi.
  • Table 12-3. Comparison of low-end 802.15.4 MCUs.
  • Table 12-4. Comparison of IoT processors for 802.15.4 devices.
  • Table 12-5. Comparison of processors for entry-level wearables.
  • Table 12-6. Comparison of processors for low-cost wearables.
  • Table 12-7. Comparison of high-performance processors for wearables.
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