物聯網啟動狀態與資料庫:2024 年
市場調查報告書
商品編碼
1512799

物聯網啟動狀態與資料庫:2024 年

IoT Start-Up Landscape and Database 2024

出版日期: | 出版商: IoT Analytics GmbH | 英文 83 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

該報告對超過3,330家物聯網新創公司進行了分類,並總結了每家新創公司的基本資訊、物聯網技術能力、資金狀況、最終用戶產業、大型新創公司的詳細分析以及分析師的觀點。

樣本視圖


樣本視圖


物聯網新創公司資料庫具有以下結構。

  • 1. 一般資訊:公司名稱、描述、類型、地點
  • 2.物聯網技術能力:物聯網硬體、物聯網連接、物聯網中間件和軟體基礎設施、應用程式和服務等。
  • 3. 細分領域重點:金融、農業、互聯建築、零售、企業/IT 基礎設施和安全、健康與製藥、能源/公用事業、移動、智慧城市、製造/工業、供應鏈、公共部門、政府與服務、其他業務促進因素(創投/投資者、顧問、孵化器等)。
  • 4.詳細資料:成立年份、LinkedIn、電子郵件、電話號碼、創辦人、員工人數、最近融資日期、最近融資金額、最近融資幣種、融資總額、融資總額貨幣、投資者數量、前5 位投資者、融資類型、預期銷售、收購數量
  • 5. 大型新創公司:年收入超過100萬美元,員工50人或以上,B輪或更高,是/否

目錄

第一章 概要 引言

第二章 物聯網啟動狀況

  • 一)概述
    • 活躍物聯網新創企業累積數量
    • 物聯網新創公司:依成立年份劃分
    • 物聯網新創公司的融資:依融資階段
    • 物聯網新創公司的資金:依成立年份
    • 物聯網新創公司的平均資金金額:以成立年份
    • 籌集最多資金的物聯網新創公司
    • 物聯網新創公司收購數量:2021-2024
    • 物聯網新創公司將於 2023 年收購
    • 近期物聯網新創公司的 IPO(摘錄)
    • 最活躍的投資者
    • 大型新創公司佔比
    • 大型新創公司比例:依成立年份劃分
    • 專注於人工智慧的物聯網新創公司比例
  • b) 技術深入研究
    • 依技術類型劃分的物聯網新創公司佔有率
    • 依技術類型劃分的物聯網新創公司佔有率:2016-2023
    • 提供不同類型物聯網硬體的物聯網新創公司的百分比
    • 提供各種類型的物聯網中間件和軟體的物聯網新創公司的百分比
    • 提供不同類型連接/服務的物聯網新創公司的百分比
    • 大型新創公司的佔有率:依技術堆疊和技術類型劃分
  • c) 依地區深入研究
    • 物聯網新創企業全球分佈
    • 物聯網新創公司和主要見解:依地區
    • 新創公司百分比:依地區和成立年份劃分
    • 依地區劃分的物聯網新創公司的技術重點
    • 依地區深入探討 (1/5):北美
    • 依地區深入探討 (2/5):歐洲
    • 依地區深入探討 (3/5):亞太地區
    • 依地區深入探討 (4/5):中東/非洲
    • 依地區深入探討 (5/5):南美洲
    • 物聯網新創公司的重點產業:依地區
    • 大型新創企業的百分比:依地區劃分
  • d) 工業深度挖掘
    • 產業定義
    • 物聯網新創公司:依產業分類
    • 物聯網新創公司在主要行業中的年度佔有率
    • 大型新創企業的百分比:依優先產業劃分

第三章 主要物聯網新創公司

  • IoT Analytics 分析師選出的 IoT 新創公司
  • 分析師選擇 (1/17):ai-omatic solutions
  • 分析師評選(2/17):DeepVu
  • 分析師選擇(3/17):Edge Impulse
  • 分析師評選(4/17):Figure
  • 分析師評選 (5/17):H2Ok Innovations
  • 分析師選擇 (6/17):Infogrid
  • 分析師選擇(7/17):Onehouse
  • 分析師選擇(8/17):peaq
  • 分析師選擇 (9/17):Pio
  • 分析師評選(10/17):PUDU Robotics
  • 分析師選擇 (11/17):Scale AI
  • 分析師選擇(12/17):Skylo
  • 分析師評選(13/17):Thundercomm
  • 分析師選擇(14/17):Timeseer.AI
  • 分析師選擇 (15/17):Scale AI
  • 分析師選擇(16/17):Wiliot
  • 分析師選擇(17/17):ZARIOT
  • 2021級發生了什麼事?

第 4 章. 關於 IoT 分析

簡介目錄

The "IoT Start-Up Landscape and Database 2024 report" is part of IoT Analytics' ongoing coverage of general IoT.

SAMPLE VIEW


This database classifies over 3,330 IoT start-ups with more than 60 points for each start-up. The number of active IoT start-ups identified reached 3,330 in 2024, compared to significantly less in a similar exercise in 2021.The report reveals not only the top funded start-up but also detailed information for all of them.

SAMPLE VIEW


The most funded IoT start-ups include for example EswinComputing, Figure and Verkada.

The IoT Analytics analyst team handpicked 17 IoT start-ups that are innovative and promising. Examples include ai-omatic (AI-based predictive maintenance software), Pio (automated storage and retrieval system), and Zariot (IoT connectivity provider).

The database is suited for the following topics

  • M&A target search
  • IoT strategy / business case development
  • Go-to-market / market entry strategy
  • Customer / vendor selection
  • Sector scan
  • Competitive analysis
  • Due diligence
  • Investment opportunity search

The database of IoT start-up companies is structured along the following dimensions

  • 1. General information (company name, description, type and location)
  • 2. IoT Technology capabilities (IoT Hardware, IoT Connectivity, IoT Middleware & Software Infrastructure, and Application & Services, Other)
  • 3. Segment focus (Finance, Agriculture, Connected buildings, Retail, Enterprise / IT infrastructure & Security, Health & Pharmaceuticals, Energy / utilities, Mobility, Smart Cities, Manufacturing / Industrial, Supply Chain, Public sector, Gov. & services, Other business, etc.) & Enablers (i.e., VC/Investors, Consulting, Incubators, etc.).
  • 4. Further information (Founded, LinkedIn, Email, Phone, Founder, No. Of Employees, Last Funding Date, Last Funding Amount, Last Funding Amount Currency, Total funding, Total funding currency, Number of Investors, Top 5 investors, Funding type, Estimated revenue, Number of acquisitions)
  • 5. Large start-ups (> 1M$ annual revenue, >50 employees, series B or higher, yes/no)

Questions answered

  • How many IoT start-ups exist in 2024? How has that number changed over time?
  • How has the IoT start-up landscape changed since 2021?
  • Which IoT start-ups have the highest funding?
  • Which IoT tech stack are IoT start-ups offering?
  • Which countries/regions are home to the most IoT start-ups?
  • What verticals are IoT start-ups focusing on?
  • How many IoT start-ups have been acquired?
  • Who are the most active investors in IoT start-ups?
  • Which IoT start-ups do the IoT Analytics' analyst team find interesting?

Companies mentioned

A selection of companies mentioned in the report.

  • ai-omatic solutions
  • DeepVu
  • Edge Impulse
  • Figure
  • H2Ok Innovations
  • Infogrid
  • Onehouse
  • peaq
  • Pio
  • PUDU Robotics
  • Scale AI
  • Skylo
  • Thundercomm
  • Timeseer.AI
  • Tomorrow Things
  • Wiliot
  • ZARIOT

Table of Contents

1. Executive summary and introduction

2. IoT start-up landscape

  • a) Overview
    • Cumulated number of active IoT start-ups
    • IoT start-ups by year founded
    • Funding of IoT start-ups by funding stage
    • Funding of IoT start-ups by year founded
    • Average funding of active IoT start-ups by year founded
    • Top funded IoT start-ups
    • Number of acquisitions of IoT start-ups-2021 to 2024
    • Selected acquisitions of IoT start-ups in 2023
    • Selected recent IPOs of IoT start-ups
    • Most active investors
    • Share of large start-ups
    • Share of large start-ups by founding year
    • Share of AI-focused IoT start-ups
  • b) Technological deep dive
    • Share of identified IoT start-ups by tech type
    • Share of active IoT start-ups by tech type between 2016 and 2023
    • Percentage of IoT start-ups offering different types of IoT hardware
    • % of IoT start-ups offering different types of IoT middleware and software
    • Percentage of IoT start-ups offering different types of connectivity/services
    • Share of large start-ups by tech stack and tech type
  • c) Regional deep dive
    • Global distribution of IoT start-ups
    • Identified IoT start-ups and key insights by region (1/2)
    • Identified IoT start-ups and key insights by region (2/2)
    • Share of start-ups by region and founding year
    • Technology focus of IoT start-ups by region
    • Regional deep dive (1/5): North America
    • Regional deep dive (2/5): Europe
    • Regional deep dive (3/5): APAC
    • Regional deep dive (4/5): Middle East and Africa
    • Regional deep dive (5/5): South America
    • Focus industry of IoT start-ups by region
    • Share of large start-ups by region
  • d) Industry deep dive
    • Industry definitions
    • IoT start-ups by industry
    • Share of identified IoT start-ups in top industries by year (1/3)
    • Share of identified IoT start-ups in top industries by year (2/3)
    • Share of identified IoT start-ups in top industries by year (3/3)
    • Share of large start-ups by focus industry

3. Handpicked IoT start-ups

  • IoT start-ups handpicked by IoT Analytics analysts (1/2)
  • IoT start-ups handpicked by IoT Analytics analysts (2/2)
  • Analyst pick (1/17): ai-omatic solutions
  • Analyst pick (1/17): ai-omatic solutions
  • Analyst pick (2/17): DeepVu
  • Analyst pick (3/17): Edge Impulse
  • Analyst pick (3/17): Edge Impulse
  • Analyst pick (4/17): Figure
  • Analyst pick (5/17): H2Ok Innovations
  • Analyst pick (5/17): H2Ok Innovations
  • Analyst pick (6/17): Infogrid
  • Analyst pick (7/17): Onehouse
  • Analyst pick (8/17): peaq
  • Analyst pick (9/17): Pio
  • Analyst pick (10/17): PUDU Robotics
  • Analyst pick (11/17): Scale AI
  • Analyst pick (12/17): Skylo
  • Analyst pick (13/17): Thundercomm
  • Analyst pick (14/17): Timeseer.AI
  • Analyst pick (15/17): Tomorrow Things
  • Analyst pick (16/17): Wiliot
  • Analyst pick (17/17): ZARIOT
  • What happened to the class of 2021?

4. About IoT Analytics