Industrial AI and AIoT Market Report 2021–2026

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Industrial AI and AIoT Market Report 2021 - Cover thumb

252-page report examining artificial intelligence in industrial settings, including:

  • Market size and outlook 2021-2026, with breakdowns:
    • By Offering Type (AI Hardware, AI Software, AI Services)
    • By Industry
    • By Use case
    • By Region/Country
  • Vendor landscape of ~630 firms, with detailed information on top industrial AI vendors’ market share, startup funding, and AI libraries
  • Detailed use case analysis and discussion of 6 recent case studies
  • In-depth analysis of industrial AI software business models, including AI model development monetization strategies
  • Results from two surveys on the “Industrial AI end-user perspective” (incl. a view on user preferences and key success factors)
  • Discussion of 11 current trends and 2 challenges, plus updates on previously identified trends and challenges
  • Database of ~630 key vendors active in the industrial AI space
  • Database of ~150 industrial AI projects
  • And More…

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Description

Industrial AI and AIoT Market Report 2021-2026

The Industrial AI and AIoT Market Report 2021-2026 is the first major update of IoT Analytics’ ongoing coverage on industrial AI and AIoT market (Industrial and Software workstreams). The report includes new information on the implementation and technology stack of industrial AI solutions, updates on market forecasts (by offering type, industry, region, and use case) and top players’ market shares. Several new trends, and challenges are highlighted, and new deep dives on select topics are provided (e.g., industrial AI software business models).

Questions answered in this report:

  • How Industrial AI is defined
  • What the major differences between industrial and non-industrial AI solutions are
  • How the industrial AI and AIoT market has evolved since 2018
  • How big the industrial AI and AIoT market is and how fast it is growing across various dimensions (by offering type, region, industry, use case)
  • How many start-ups have joined the market and their funding details
  • Which companies are leading the market (by offering type, including market shares)
  • How industrial AI and AIoT solutions are being implemented today across 12 detailed use case categories and 33 sub use cases (with details on the implementation process of industrial AI solutions and 6 detailed case studies)
  • What the new developments within the various tech layers are and implementation steps of industrial AI solutions (AI hardware, Data management, AI model development, AI model management)
  • What the main AI analytics methods are that are used today
  • How industrial AI solutions are sold and offered to end users
  • How the end use thinks about Industrial AI adoption, satisfaction with specific vendors, solution preferences, success factors, current and future budgets
  • What trends are characterizing the market currently
  • What challenges are holding the market back
  • And More…

Available pricing plans:

See Terms & Conditions for license details.

At a glance:

Definition of AI, industrial AI and AIoT

AI is machine-driven intelligent behavior that involves the ability to acquire and apply knowledge. AI consists of analytics (learning) and an outcome (action/decision/prediction) component:

  1. Analytics corresponds to the data management processes and data science algorithms through which the device learns.
  2. Outcome corresponds to the intelligent behavior, e.g., generating a decision, a prediction, or triggering an action.

Industrial AI is a type of AI related to an industrial enterprise’s physical operations and systems. AI-driven systems can automate and reinvent fundamental industrial processes, including product development/manufacturing and supply chain/field operations.

Industrial AIoT is a subset of industrial AI that refers to AI performed on IoT-type data sources in industrial enterprises

 

Industrial AI and AIoT Market Report 2021 - Definition
Industrial AI and AIoT Market Report 2021 - Focus of the report

Key differences between Industrial AI and non-industrial AI solutions are further provided.

 

 

Industrial AI and AIoT Market Report 2021 - Differences Non Industrial AI vs Industrial AI

The report presents a complete picture of the technology stack and implementation process of AIoT solutions, along with deep dives on several implementation stages (e.g., technology used, examples) and 4 key AI hardware technologies.

Industrial AI and AIoT Market Report 2021 - Technology overview

An overall view of the market provides historical and projected market sizes, and an analyst opinion on market growth is provided.

Industrial AI and AIoT Market Report 2021 - Global Market Overall

The market is further broken down into offering type (AI hardware, AI software, AI services), industries, use cases, regions, and countries.

Industrial AI and AIoT Market Report 2021 - Market by Offering Type

The report provides a company landscape with ~620 firms, grouped into three main categories based on their main offering type: AI Hardware, AI Software and AI Services. An analysis of the top 12 vendors market shares is also provided here.

Industrial AI and AIoT Market Report 2021 - Largest AI Vendors

Furthermore, the same chapter provides information on new startup funding and AI libraries.

Industrial AI and AIoT Market Report 2021 - Startups List

The report contains an overview of the offerings of 12 OT vendors regarding their industrial AI platforms (See Industrial AI OT Vendor Analysis Report 2021 for a deep dive on these 12 OT vendors’ AI offerings).

Industrial AI and AIoT Market Report 2021 - Industrial AI Platforms Competitive Landscape

The report provides a detailed analysis of 10 use cases with 6 new detailed case studies.

Industrial AI and AIoT Market Report 2021 - Use Case

A detailed analysis of industrial AI software business models is provided, with a specific look at the monetization of AI models (e.g., how vendors can recoup model development costs and reduce overall service costs for customers).

Industrial AI and AIoT Market Report 2021 - Monetization

The report provides results from two surveys on the industrial AI end-user perspective, with industrial AI and data analytics topics (e.g., spending on AI software tools), and information on the adoption of different types of AI (e.g., adoption rate of deep learning).

Industrial AI and AIoT Market Report 2021 - AI Adoption Rate

11 new trends and 2 challenges are described in detail, backed up with interview quotes and examples.

Industrial AI and AIoT Market Report 2021 - Challenges

The report also comes with a detailed Database of 620+ Industrial AI vendors and an additional Database of 150+ detailed Industrial AI projects.

Industrial AI and AIoT Market Report 2021 - Project List

Selected companies:

Accenture, Alibaba, Amazon AWS, AMD, Braincube, C3 AI, Cognizant, Google, IBM, Intel, Microsoft, Nvidia, SAP, SAS, Sparkcognition, TCS, Uptake, Zenodys +616 more.

Industrial AI and AIoT Market Report 2021 - Company Landscape
Questions about the report? Didn’t find what you were looking for? Feel free to get in touch with our sales team and we will do our best to help.
Federico Vicario-min
Federico Vicario
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    Additional information

    Publication date

    November 2021

    Scope

    252-page in-depth market report examining artificial intelligence in industrial settings

    Inquiry email

    sales@iot-analytics.com

    Inquiry phone

    +49 (0) 40-63911891

    Terms & Conditions

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    Table of Contents

    Industrial AI and AIoT Market Report 2021–2026 (PDF)

    1. Executive Summary
      1. 1.1 Executive Summary
      2. 1.2 Changes Since the 2019 Industrial AI Report
    2. Introduction
      1. 2.1 Definition and Disambiguation
      2. 2.2 Definition of a Platform
      3. 2.2 Types of AI
      4. 2.3 Non-industrial vs. Industrial AI Solutions
    3. Technology Overview
      1. 3.1 AIoT Process and Technology Overview
      2. 3.2 Deep Dive: Data Management
      3. 3.3 Deep Dive: Model Development
      4. 3.4 Deep Dive: Model Training
      5. 3.5 Deep Dive: Model Management
      6. 3.6 Deep Dive: Machine Learning Operations
      7. 3.7 Deep Dive: AI Hardware
    4. Market Size and Outlook
      1. 4.1 Global Industrial AI Market
      2. 4.1.1 Global Industrial AI Market, by Offering Type
      3. 4.1.2 Global Industrial AI Market, by Industry
      4. 4.1.3 Global Industrial AI Market, by Use Case
      5. 4.1.4 Global Industrial AI Market, by Region
      6. 4.1.5 Global Industrial AI Market, by Country
      7. 4.1.6 Global Industrial AI Market, by Region and Industry
      8. 4.1.7 Global Industrial AI Market, by Top 10 Countries and Industry
      9. 4.2 Deep Dives: The Leading Five Countries
    5. Competitive Landscape
      1. 5.1 Company Landscape
      2. 5.2 Deep Dive: The 12 Largest Industrial AI Vendors
      3. 5.3 Deep Dive: Overview of Industrial AI Platforms
      4. 5.4 Deep Dive: Industrial AI Platforms—Competitive Landscape
      5. 5.5 Deep Dive: Industrial AI Startups
      6. 5.6 Deep Dive: AI Libraries
    6. Use Cases
      1. 6.1 Main Industrial AI Use Cases
      2. 6.2 Other Promising Use Cases
    7. Industrial AI Software Business Models
      1. 7.1 Industrial AI Revenue Streams
      2. 7.2 AIoT Vendors’ Offerings
      3. 7.3 Deep Dive: The Monetization of AI Models
    8. End User Adoption
      1. 8.1 Industrial AI and Data Analytics Survey
      2. 8.2 Types of AI Adoption Survey
    9. Trends and Challenges
      1. 9.1 Trends
      2. 9.2 Challenges
    10. Methodology and Market Definitions
    11. About IoT Analytics