Industrial AI Market Report 2020-2025

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Comprehensive 146-page industry report detailing the $15B Industrial AI market including:

  • Market forecast 2018 to 2025
  • Market size by offering type (AI hardware, software, services)
  • Market size by industry (26 industries)
  • Market size by use case (12 categories)
  • Deep dive analysis for 12 Industrial AI use case categories (33 sub use cases)
  • Market size by region (7 regions)
  • Market size by country (7 regional breakdowns)
  • Deep dive analysis for leading countries (top 5) 
  • 3 Main process steps for AI Implementation (data management, analytics, hardware)
  • 9 AI Best Practices (first steps, data-related, analytics-related)
  • Deep dive AI at the Edge (characteristics, benefits, examples)
  • End-user perspective (adoption, ROI, budget) 
  • 11 Industrial AI Trends (general, software/analytics, hardware -related)
  • 9 Industrial AI Challenges (data, model, organization -related)
  • Competitive landscape analysis (top 12 AI vendors)
  • Database of 300+ Industrial AI vendors
  • Database of 110+ real world Industrial AI projects
  • And More

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Description

Industrial AI Report 2020-2025

This Industrial AI market report details the fastest growing use case for the Internet of Things.

Find out:

  • The Industrial AI market split by AI hardware, AI software, and AI services
  • How the market is developing across 26 industries (ISIC classification)
  • The regional market split for 2018 to 2025 with country level breakdowns (plus top 5 country deep-dives)
  • How Industrial AI solutions are being implemented today across 12 detailed use case categories and 33 sub use cases
  • How the 12 leading Industrial AI companies compare and how they fit into the landscape of 300+ Industrial AI technology vendors
  • The end user perspective on Industrial AI adoption, return-on-investment, current & future budgets available
  • The characteristics & benefits of Industrial AI at the Edge with real world examples
  • What the 9 Industrial AI best practices are related to first steps, data, and analytics
  • What the 11 biggest trends for Industrial AI are
  • What the 9 biggest challenges are

Questions answered in this report:

  • What is Industrial AI? ( i.e., a Industrial AI definition)
  • What are the examples of Industrial AI vendors and Industrial AI case studies?
  • How does the Industrial AI market look like (i.e., overview by regions, offering type, industries)?
  • Which benefits are companies seeing from their Industrial AI investments?
  • What are the market drivers, trends & challenges in Industrial AI space?

Read the corresponding blog post here.

Available pricing plans:

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At a glance:

Industrial AI is emerging as new hot topic for the Internet of Things (IoT).

By the end of 2019, the Global Industrial AI market is estimated at just under $15B and expected to grow at a CAGR of 31% to become a $72.5B market by 2025.

This report examines the 3 main types of Machine Learning techniques employed in Industrial AI solutions.

The research included taking a deep-dive in AI hardware examining 11 key technologies.

12 main industrial AI use case categories and 33 sub use cases were identified.

The report breaks down the Global Industrial AI market by offering type across 3 technology areas: AI hardware, AI software, AI services.

A comprehensive set of Industrial AI use cases were analysed for this research and the report includes a break down of the market by use case.

The report breaks down the Global Industrial AI market by region & offering type.

The report examines current and expected spending for Industrial AI solutions in greater detail across 26 industry segments and breaks down the Global Industrial AI market by region & industry.

The report examines current and expected spending for Industrial AI solutions in greater detail across 26 industry segments and breaks down the Global Industrial AI market by region & industry.

The report breaks down the Global Industrial AI market by vendor.

Furthermore, the report describes the top 11 industry trends and 9 main challenges affecting Industrial AI.

The report also comes with a detailed Database of 300+ Industrial AI vendors and an additional Database of 110+ detailed Industrial AI projects.

Definition of Industrial AI:

Industrial AI = “AI relating to the physical operations and systems of an industrial enterprise”. AI-driven systems can automate and reinvent fundamental industrial processes e.g., from product development and manufacturing to supply-chain and field operations.

For this report the following slide presents the definition of Industrial AI used in the analysis.

Table of contents:

Selected companies from the industrial AI report:

Accenture, Alibaba, Amazon AWS, AMD, C3, Cognizant, Google, IBM, Intel, Microsoft, Nvidia, SAP, SAS, Sparkcognition, TCS, Texas Instruments, Uptake, Zenodys +300 more.

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Additional information

Publication date

December 2019

Scope

146 page pdf/ppt, 3 excels

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Table of Contents

Industrial AI Market Report 2020-2025

Executive Summary

1 Introduction to Artificial Intelligence
1.1 Definition & Disambiguation
1.2 Types of AI

2 Industrial AI Technology
2.1 Technology stack
2.2 Deep-dive: Data management
2.3 Deep-dive: Analytics
2.4 Deep-dive: AI Hardware

3 Industrial AI use cases
3.1 Use case overview
3.2 10 largest industrial AI use cases
3.3 Other promising use cases

4 Market sizing & outlook
4.1 Market breakdown overview
4.2 Global industrial AI market
4.2.1 Total industrial AI market
4.2.2 Internal vs External spending
4.2.3 Global industrial AI market – by offering type
4.2.4 Global industrial AI market – by industry
4.2.5 Global industrial AI market – by use case
4.2.6 Global industrial AI market – by region
4.2.7 Global industrial AI market – by region & offering type
4.2.8 Global industrial AI market – by top 10 countries & offering type
4.2.9 Global industrial AI market – by top 10 countries & use case
4.2.10 Global industrial AI market – by region & industry
4.2.11 Global industrial AI market – by top 10 countries & industry
4.2.12 Global industrial AI market – countries breakdowns
4.3 Countries’ deep-dives

5 Competitive landscape
5.1 Competitive overview
5.2 Largest AI vendors
5.3 AI libraries

6 AI implementation perspective
6.1 Benefits of industrial AI
6.2 Best AI practices
6.2.1 Best AI practices – first steps
6.2.2 Best AI practices – data-related
6.2.3 Best AI practices – analytics-related
6.3 Deep-dive: AI at the edge
6.4 AI implementation

7 Trends & Challenges
7.1 Major trends
7.1.1 Major trends – general trends
7.1.2 Major trends – software/analytics-related trends
7.1.3 Major trends – hardware-related trends
7.2 Challenges & Barriers

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