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Industry 4.0 Market

Industry 4.0 Market Size, Share & Segmentation by Technology (Industrial Robots, Blockchain, Industrial Sensors, Industrial 3D Printing, Machine Vision, HMI, AI in Manufacturing, Digital Twin, AGV's, Machine Condition Monitoring), by Application (Industrial Automation, Smart Factory, Industrial IoT), by Vertical (Manufacturing, Energy and Utilities, Automotive, Oil and Gas, Aerospace & Defense, Electronics and Consumer Goods and Others), by Regions and Global Market Forecast 2023-2030

Report Id: SNS/ICT/1226 | May 2022 | Region: Global | 135 Pages

Report Scope & Overview:

Industry 4.0 Market was valued at USD 78.44 billion in 2022 and is predicted to increase at a CAGR of 18.5% from 2023 to 2030, reaching USD 305.01 billion by 2030.

The steady rise in CAGR is subject to market growth and demand reverting to pre-epidemic levels after the pandemic is over. The technical market, such as ABB Ltd, offers items such as robots, PLC automation, control room solutions, and motors and generators. Siemens AG, on the other hand, focuses on a variety of fields, including building technology, automation systems, and transportation.

As a consequence of various industries' increased emphasis on effectiveness and cost-effective performance, the market's development potential is being enhanced by expanding internet penetration and digitalization trends. The scope of possible disruption in the industrial value chain has begun to grow as a result of recent breakthroughs in digital technology and industrial automation. As a result of the fourth industrial revolution, businesses are experiencing more efficiency, lower costs, improved productivity, personalized products, and, most crucially, new revenue and business models (4.0).

Industry 4.0 Market Revenue 2030

Phantom Edge, for example, was released in May 2021 by Robert Bosch Engineering and Business Solutions Private Limited to provide a true perspective of electric attributes, device-level information, electrical power usage, and operating utilization. The Phantom Edge combines artificial intelligence (AI) and the internet of things (IoT) and may be utilized in a range of industries, including retail, manufacturing, medicine, agriculture, and mobility.

Ai technology, the internet - of - things (IoT), augmented and virtual reality, 3D printing, and blockchain are all altering the business model, including product design, distribution network, production process, and customer experience. Furthermore, major government attempts to digitize production processes in a variety of industries assisted global manufacturing industry giants such as Germany, the United States, France, and Japan.

The Impact of COVID-19:

With the COVID-19 pandemic creating mayhem on the international economy, digitalization across industries is accelerating. This aspect gives digital leaders a new chance to innovate and deploy creative solutions to accelerate digitalization across the enterprise. The coming of the fourth industrial revolution (Industry 4.0) is expediting the emergence of the coronavirus, which will force organizations across industries to a larger degree of IoT technology (lol) technology and workflow. The global supply chain is undergoing unprecedented disruption as a result of the COVID-19 pandemic. Some manufacturing businesses have shut down, while others have witnessed a significant decline in demand, with only a few reporting an increase.

Organizations are implementing inventive strategies to reduce the disruption caused by virus spread. Logistics management is becoming extremely relevant in terms of risk management. Firms that have not yet started or are in the early process of implementing Industry 4.0 may face difficulties. Manufacturers and enterprises throughout the world will need to be flexible in monitoring and altering inventory requirements, simplifying supply chains, and leveraging contemporary technologies to improve industrial capacity in this circumstance. Positive government efforts are also likely to assist businesses in surviving the outbreak.

Market Dynamics:


  • The industrial industry is increasingly embracing robotics engineering and technology in its manufacturing processes as a result of substantial technical developments in robotics.

  • Industrial robots are versatile manipulator devices that can be programmed and controlled autonomously. Welding, lifting, pressing, soldering, pick - and - place, stacking pallets, quality assurance, and testing are just a few of the popular industrial robot applications.


  • Integration and implementation of industry solutions have various benefits, but they also have several drawbacks that might stifle business growth shortly.

  • Data and security issues connected with integrating complex technologies are expected to stymie the expansion of industry 4.0.


  • AI and IoT technologies have quickly permeated the medical business in the previous five years.

  • Medical wearables are increasingly incorporating artificial intelligence (AI) and Internet of Things (IoT) technologies, culminating in a unified healthcare setting


  • Artificial intelligence (AI) and the Internet of Things (IoT) are major elements of intelligent industrial systems. The concept of Industry 4.0 is based on devices that are connected throughout the whole ecosystem. This interconnection generates security problems throughout the system

  • Data visibility is the most serious cybersecurity issue for smart manufacturing on the factory floor.

Key Market Players

Industry 4.0 companies have used several organic and inorganic development techniques, such as new product launches and acquisitions, to boost their market offerings. General Electric (US), Honeywell International (US), ABB (Switzerland), Emerson Electric (US), 3D Systems (US), Advantech (Taiwan), Basler (Germany), Cisco Systems (US), Cognex Corporation (US), Daifuku (Japan), IBM (US), Intel (US), John Bean Technologies Corporation (US), Nvidia (US), Stratasys (Israel), Techman Robot (Taiwan), Universal Robot (Denmark)

Key Market Segmentation:

By Technology:

  • Industrial Robots

  • Blockchain

  • Industrial Sensors

  • Industrial 3D Printing

  • Machine Vision

  • HMI

  • AI in Manufacturing

  • Digital Twin

  • AGV’s

  • Machine Condition Monitoring

By Application:

  • Industrial Automation

  • Smart Factory

  • Industrial IoT

By Vertical:

  • Manufacturing

  • Energy and Utilities

  • Automotive

  • Oil and Gas

  • Aerospace & Defense

  • Electronics and Consumer Goods

  • Others

Industry 4.0 Market Segment Chart

Regional Coverage:

  • North America

    • The USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • The UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America

Industry 4.0 Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 78.44 Bn
Market Size by 2030  US$ 305.1 Bn
CAGR   CAGR of 18.5% From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • by Technology (Industrial Robots, Blockchain, Industrial Sensors, Industrial 3D Printing, Machine Vision, HMI, AI in Manufacturing, Digital Twin, AGV's, Machine Condition Monitoring)
• by Application (Industrial Automation, Smart Factory, Industrial IoT)
• by Vertical (Manufacturing, Energy and Utilities, Automotive, Oil and Gas, Aerospace & Defense, Electronics and Consumer Goods and Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles General Electric, Honeywell International, ABB, Emerson Electric, 3D Systems, Advantech, Basler, Cisco Systems, Cognex Corporation, Daifuku, IBM, Intel, John Bean Technologies Corporation, Nvidia, Stratasys, Techman Robot, Universal Robot
Key Drivers • The industrial industry is increasingly embracing robotics engineering and technology in its manufacturing processes as a result of substantial technical developments in robotics.
Market Opportunities • AI and IoT technologies have quickly permeated the medical business in the previous five years.
• Medical wearables are increasingly incorporating artificial intelligence (AI) and Internet of Things (IoT) technologies, culminating in a unified healthcare setting


Frequently Asked Questions (FAQ) :

Table of Contents


1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions


2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges


4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World


5. Value Chain Analysis


6. Porter’s 5 forces model


7.  PEST Analysis


8.  Industry 4.0 Market Segmentation, By Technology:

8.1 Industrial Robots

8.2 Blockchain

8.3 Industrial Sensors

8.4 Industrial 3D Printing

8.5 Machine Vision

8.6 HMI

8.7 AI in Manufacturing

8.8 Digital Twin

8.8 AGV’s

8.10 Machine Condition Monitoring


9. Industry 4.0 Market Segmentation, By Application

9.1 Industrial Automation

9.2 Smart Factory

9.3 Industrial IoT


10. Industry 4.0 Market Segmentation, By Vertical

10.1 Manufacturing

10.2 Energy and Utilities

10.3 Automotive

10.4 Oil and Gas

10.5 Aerospace & Defense

10.6 Electronics and Consumer Goods

10.7 Others


11. Regional Analysis

11.1 Introduction

11.2 North America

11.2.1 USA

11.2.2  Canada

11.2.3  Mexico

11.3     Europe

11.3.1  Germany

11.3.2  UK

11.3.3  France

11.3.4  Italy

11.3.5  Spain

11.3.6  The Netherlands

11.3.7  Rest of Europe

11.4     Asia-Pacific

11.4.1  Japan

11.4.2  South Korea

11.4.3  China

11.4.4  India

11.4.5  Australia

11.4.6  Rest of Asia-Pacific

11.5     The Middle East & Africa

11.5.1  Israel

11.5.2  UAE

11.5.3  South Africa

11.5.4  Rest

11.6     Latin America

11.6.1  Brazil

11.6.2  Argentina

11.6.3  Rest of Latin America


12. Company Profiles

12.1 General Electric (US)

12.1.1 Financial

12.1.2 Products/ Services Offered

12.1.3 SWOT Analysis

12.1.4 The SNS view

12.2 Honeywell International (US

12.3 ABB (Switzerland)

12.4 Emerson Electric (US)

12.5 3D Systems (US)

12.6 Advantech (Taiwan)

12.7 Basler (Germany)

12.8 Cisco Systems (US)

12.9 Cognex Corporation (US)

12.10 Daifuku (Japan)

12.11 IBM (US)

12.12 Intel (US)

12.12 John Bean Technologies Corporation (US)

12.14 Nvidia (US)

12.15 Stratasys (Israel)

12.16 Techman Robot (Taiwan)

12.17 Universal Robit (Denmark)


13. Competitive Landscape

13.1 Competitive Benchmarking

13.2 Market Share Analysis

13.3 Recent Developments


14. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of a good and accurate research report and selecting the best methodology to complete the research is the toughest part. Since the research reports, we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach a stage wherein we can provide our clients best and most accurate investment to output ratio.

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research as the name suggests is a research process wherein, we collect data through readily available information. In this process, we use various paid and unpaid databases to which our team has access and gather data through the same. This includes examining listed companies’ annual reports, Journals, SEC filling, etc. Apart from this, our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various universities as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content-specific facts that can be sued to solve specific problems. Since the collected data is fresh and first-hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply sides of the industry to make sure we land an accurate judgment and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses, and observation of on-field participants. The below-mentioned chart should give a better understanding of part 1 of the primary interview.

Part 2: In this part of the primary research the data collected via secondary research and part 1 of the primary research is validated with the interviews with individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

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Step 4: QA/QC Process

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