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IoT Start-Up Landscape and Database 2024

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SAMPLE VIEW


SAMPLE VIEW


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  • ¾Ö³Î¸®½ºÆ®¿¡ ÀÇÇÑ ¼±Ãâ(1/17) : ai-omatic solutions
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  • ¾Ö³Î¸®½ºÆ®¿¡ ÀÇÇÑ ¼±Ãâ(15/17) : Tomorrow Things
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4Àå IoT Analytics Á¤º¸

BJH 24.07.25

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

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