Report Scope & Overview:
The 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.
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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).
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.
The industrial industry is increasingly embracing robotics engineering and technology in its manufacturing processes as a result of substantial technical developments in robotics.
Industrial robotics 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) & Other Players
Honeywell International - Company Financial Analysis
Key Market Segmentation:
Industrial 3D Printing
AI in Manufacturing
Machine Condition Monitoring
Energy and Utilities
Oil and Gas
Aerospace & Defense
Electronics and Consumer Goods
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Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
|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|
|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
The market size of the Industry 4.0 Market was valued at USD 78.44 billion in 2022.
The growth rate of the Industry 4.0 Market is 18.5% over the forecast period 2023-2030.
The key players of the Industry 4.0 Market are 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, and Universal Robot.
The Industry 4.0 Market is segmented into 3 types: By Technology, By Vertical, and By Application.
The Covid-19 pandemic impacted the Industry 4.0 Market significantly. The detailed analysis is included in the final report.
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.2 Impact on major economies
18.104.22.168 United Kingdom
22.214.171.124 South Korea
126.96.36.199 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
8.3 Industrial Sensors
8.4 Industrial 3D Printing
8.5 Machine Vision
8.7 AI in Manufacturing
8.8 Digital Twin
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
10.2 Energy and Utilities
10.4 Oil and Gas
10.5 Aerospace & Defense
10.6 Electronics and Consumer Goods
11. Regional Analysis
11.2 North America
11.3.6 The Netherlands
11.3.7 Rest of Europe
11.4.2 South Korea
11.4.6 Rest of Asia-Pacific
11.5 The Middle East & Africa
11.5.3 South Africa
11.6 Latin America
11.6.3 Rest of Latin America
12. Company Profiles
12.1 General Electric
12.1.2 Products/ Services Offered
12.1.3 SWOT Analysis
12.1.4 The SNS view
12.2 Honeywell International
12.4 Emerson Electric
12.5 3D Systems
12.8 Cisco Systems
12.9 Cognex Corporation
12.12 John Bean Technologies Corporation
12.16 Techman Robot
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
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The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of 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 university as well as individual libraries.
Step 2: Primary Research
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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
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