Global Industry 5.0 Market Overview:
Industry 5.0 Market Size Was Valued at USD 154.73 Billion in 2023, and is Projected to Reach USD 691.02 Billion by 2032, Growing at a CAGR of 18.09% From 2024-2032
- Industry 5.0 marks a notable change in the industrial sector, highlighting the partnership between humans and AI to develop a manufacturing setting that is personalized and efficient. This next stage of the industrial revolution is based on the technological progress made in Industry 4.0, which centered on digitalization and large-scale manufacturing. Although Industry 4.0 brought in intelligent manufacturing technologies, it frequently led to a depersonalized method of production. On the other hand, Industry 5.0 seeks to bring back a model centered around people, where humans have the responsibility of designing to better comprehend and address consumer needs. This emphasis on personalization is anticipated to spur creativity in a range of industries, from automotive to pharmaceuticals, allowing businesses to offer customized products and services.
- In the shift to Industry 5.0, businesses will see changes in the manufacturing process that improve efficiency while also focusing on sustainability and social responsibility. Through the utilization of cutting-edge technologies and human knowledge, businesses can decrease waste and lower manufacturing expenses, fostering a greener method of production. This new way of thinking changes the focus from only technological progress to a comprehensive perspective that considers the societal effects of industrial processes. Innopharma Technology and similar companies are at the forefront of developing tools and software to enhance collaboration, underscoring the increasing significance of a people-focused approach in molding the future of the industry.
Market Dynamics And Factors Of Industry 5.0 Market
Drivers:
Extensive Adoption Of Advanced Industrial Robotics
The rise of advanced technologies, such as the industrial internet of things (IIoT) and artificial intelligence, can be attributed to the market's growth, as these are essential for effective data collection, analysis, and feeding the gathered insights into the manufacturing process to create better products. Along with this, the globe is seeing an increase in demand for industrial processes that strike a good balance between automation and human interaction. As the industry 5.0 trend focuses on the collaboration of people and collaborative robots, this is projected to boost market development. None of the previous industrial revolutions, including Industry 4.0, had an environmental concern. Industry 5.0, on the other hand, permits the implementation of sustainable industrial practices including reduced waste creation and cost-cutting. As a consequence, it is expected to be a critical element shortly, providing profitable chances to the industry. The growing use of industrial robots in a variety of industries, growth in the number of linked devices, and rising government spending on industrialization are all expected to help the market grow. According to the International Federation of Robotics, 2.7 million industrial robots will be installed worldwide by 2021, a 12 percent increase over the previous year. Furthermore, the automobile industry was the greatest buyer of the device that year, accounting for 30% of all robot installations.
Restraints:
High Installation And Maintenance Costs
One of the pressing issues in industry 5.0 is high installation cost and maintenance costs. With the innovation in advanced robotics and high-performing sensors, the recurring cost is also high as the adoption rate of advanced robotics and high-performance sensors and software. As this new industrial revolution is at its early stage, less competition makes scares availability of such machines and components as well as regarding spares, maintenance, and operating technician. For small and medium-scale companies, high investment cost presents a major barrier that certainly impedes the growth of the Industry 5.0 market.
Opportunities:
Predictive Analytics In Supply Chain And Maintenance Presents A Bright Opportunity
Predictive maintenance is a new method to reduce maintenance downtown and improve production performance. It refers to predictive maintenance, as opposed to the current preventative maintenance. Smart sensors, IoT devices, and bespoke software aid in the early detection and prediction of potential faults. Only the machines that are most prone to break down will be halted for maintenance. Sustainability. Manufacturing in Industry 5.0 promises to use resources effectively and adapt to the present requirement. Flexible business models are the result of human-machine collaboration. As a result, waste and overproduction can be drastically minimized, if not eliminated. Local production and new jobs will also contribute to the long-term viability of local economies.
Predictive analytics in the supply chain presents a resourceful opportunity which expected to boost productivity overall. Finding or designing a mathematical model that works well when tested with historical data is a common task in supply chain predictive analytics. However, finding a technique to illustrate what you're learning in a degree of detail that accurately reflects reality might be difficult. In certain situations, simulation software can be useful. When systems are difficult to define mathematically or when data is unavailable for study, simulation can help. Simulations create dynamic models by describing the components of a system and their relationships, rather than representing the entire system as an expression. Running a simulation model evaluates the system's behavior, and simulation models can provide accurate predictions if they are tested to match the real world.
Challenges:
High Training And Development Costs For Specialized Equipment Handling
Training and development can be a major challenge as new technologies require a high level of understanding of the technology and hands-on experience to run it smoothly. Not many companies use advanced technology on a large scale, and even certain use is handled by specialized personnel with substantial experience. Hiring a skilled workforce for specialized jobs can be a challenging factor. New advanced robotics and sensors which improve the overall performance of the industrial process require heavy investment. Due to the use of high-end technology improving the performance with that, it also presents high background maintenance costs. New Cobot is highly-priced and involves expert engineers to work and fix situations if maintenance occurred in a non-routine schedule Training people for the new jobs is also the major challenge with new technology adaptability issue with the existing workforce. Some companies may find it difficult to upgrade their production lines for Industry 5.0. Even if money is not a problem, the rhythm of change could be. Those who cannot afford it or are too slow in adopting industry 5.0 may be left behind in the trend.
Segmentation Analysis Of Industry 5.0 Market
By Technology, the Industrial Robotics segment is expected to be dominating the Industry 5.0 market during the forecasted period. COVID-19 has a significant influence on 2020 globally, but it also provides an opportunity for modernization and digitization of industry on the road to recovery. The advantages of increased robot deployments in the long term are the same: The key motivators are quick manufacturing and delivery of customized items at cheap pricing. Manufacturers can maintain production in developed economies - or re-shore it - without compromising cost-effectiveness thanks to automation. The United States is the Americas' largest industrial robot user, with a new operating stock record of roughly 293.200 units, up 7%. Mexico comes in second with 40,300 units, an increase of 11%, followed by Canada with 28,600 units, an increase of 2%. Human-robot cooperation is becoming more popular. The number of co-bots installed increased by 11%. In contrast to the overall trend with traditional industrial robots in 2019, this dynamic sales performance stood out. As more companies provide collaborative robots and the number of applications available expands.
By End-User Vertical, the Manufacturing segment is expected to dominate in the Industry 5.0 Market. The manufacturing sector is the most potential area to implement industry 5.0 elements. To boost efficiency and reduce resources wastage, manufacturing plant management is one of the essential factors which got solved by elements from industry 5.0, such as industrial robotics, machine sensors, high-performance software, Integration of AI, ML, and Digital Twin. In that regard, Intelligent Plant Process Management is game-changing connect falls under industry 5.0 A safe and efficient plant is ensured when machine data is harmonized with human context. This necessitates a well-managed communications mechanism like PPM, which can be deployed across an organization regardless of the sophistication of their local IoT systems. PPM's capacity to acquire and analyze data at any stage in the production process is a critical feature. At intervals such as shift handover or inspection processes, knowledge is gathered from workers involved in the manufacturing process. The process information is instantly given to all constituencies in the manufacturing process, from the plant floor to the higher echelons of the organization, after it has been digitally documented, ensuring total transparency for everyone. Hence, the segment's growth is expected to boost the overall Industry 5.0 market globally.
Regional Analysis Of Industry 5.0 Market
North America and Europe are at the forefront of the global Industry 5.0 market, driven by strong technological infrastructure and advanced manufacturing capabilities in these regions. North America, especially the US, has been leading the way in implementing Industry 5.0 principles by incorporating artificial intelligence and automation in manufacturing operations. The U.S. has been able to effectively utilize Industry 5.0 technologies due to the existence of top tech companies, a strong startup environment, and substantial investments in research and development. Moreover, the area's emphasis on improving customer satisfaction through individualization and personalization has driven its advancement in this modern era of industry.
Countries like Germany and the Netherlands are at the forefront of the Industry 5.0 landscape, showing that Europe is a significant player in this sector. Germany's manufacturing industry, well-known for its exceptional engineering and creativity, is quickly adopting Industry 5.0 principles to improve efficiency with a focus on people. Programs such as "Industrie 4.0" have opened opportunities for more progress, promoting cooperation between people and machines. Additionally, the European Union's efforts to boost sustainability and decrease carbon footprints are in harmony with Industry 5.0 goals, solidifying Europe's role as a key player in this developing market. Both regions will have significant roles in shaping the global future of Industry 5.0 as they push technological developments and focus on human-centric manufacturing.
Top Key Players Analyzed In Industry 5.0 Market:
- KUKA AG
- ENSAI INGENIERIA S.L.
- Siemens AG
- Rockwell Automation Inc.
- Schneider Electric
- ABB Ltd.
- IBM Corporation
- Microsoft Corporation
- Cisco Systems
- Inc.
- General Electric Company and other major players.
Key Industry Developments in The Industry 5.0 Market
- In January 2024, Siemens unveiled innovations that are combining the real world and the digital worlds to redefine reality at the CES 2024 exhibition, the worldās leading technology gathering. Siemens announced the breakthroughs in AI and immersive engineering to enable the industrial metaverse and highlighted how these technologies are empowering the worldās innovators to thrive using its open digital business platform, Siemens Xcelerator.
- In May 2023, IBM, announced IBM Watsonx, a new AI and data platform to be released that will enable enterprises to scale and accelerate the impact of the most advanced AI with trusted data. Enterprises turning to AI need access to a full technology stack that enables them to train, tune, and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance - all in one place and to run across any cloud environment.
Global Industry 5.0 Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
Historical Data: |
2017 to 2022 |
Market Size in 2023: |
USD 154.73 Bn |
Forecast Period 2024-32 CAGR: |
18.09% |
Market Size in 2032: |
USD 691.02 Bn |
Segments Covered: |
By Technology |
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By End-Use Vertical |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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Chapter 1: Introduction
ā1.1 Research Objectives
ā1.2 Research Methodology
ā1.3 Research Process
ā1.4 Scope and Coverage
āā1.4.1 Market Definition
āā1.4.2 Key Questions Answered
ā1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
ā3.1 By Technology
ā3.2 By End-Use
Chapter 4: Market Landscape
ā4.1 Porter's Five Forces Analysis
āā4.1.1 Bargaining Power of Supplier
āā4.1.2 Threat of New Entrants
āā4.1.3 Threat of Substitutes
āā4.1.4 Competitive Rivalry
āā4.1.5 Bargaining Power Among Buyers
ā4.2 Industry Value Chain Analysis
ā4.3 Market Dynamics
āā3.5.1 Drivers
āā3.5.2 Restraints
āā3.5.3 Opportunities
āā3.5.4 Challenges
ā4.4 Pestle Analysis
ā4.5 Technological Roadmap
ā4.6 Regulatory Landscape
ā4.7 SWOT Analysis
ā4.8 Price Trend Analysis
ā4.9 Patent Analysis
ā4.10 Analysis of the Impact of Covid-19
āā4.10.1 Impact on the Overall Market
āā4.10.2 Impact on the Supply Chain
āā4.10.3 Impact on the Key Manufacturers
āā4.10.4 Impact on the Pricing
Chapter 4: Industry 5.0 Market by Technology
ā4.1 Industry 5.0 Market Overview Snapshot and Growth Engine
ā4.2 Industry 5.0 Market Overview
ā4.3 Industrial Robotics (Collaborative Robots
āā4.3.1 Introduction and Market Overview
āā4.3.2 Historic and Forecasted Market Size (2017-2032F)
āā4.3.3 Key Market Trends, Growth Factors and Opportunities
āā4.3.4 Industrial Robotics (Collaborative Robots: Grographic Segmentation
ā4.4 SCARA Robots
āā4.4.1 Introduction and Market Overview
āā4.4.2 Historic and Forecasted Market Size (2017-2032F)
āā4.4.3 Key Market Trends, Growth Factors and Opportunities
āā4.4.4 SCARA Robots: Grographic Segmentation
ā4.5 and Others)
āā4.5.1 Introduction and Market Overview
āā4.5.2 Historic and Forecasted Market Size (2017-2032F)
āā4.5.3 Key Market Trends, Growth Factors and Opportunities
āā4.5.4 and Others): Grographic Segmentation
ā4.6 Internet of Things (IoT)
āā4.6.1 Introduction and Market Overview
āā4.6.2 Historic and Forecasted Market Size (2017-2032F)
āā4.6.3 Key Market Trends, Growth Factors and Opportunities
āā4.6.4 Internet of Things (IoT): Grographic Segmentation
ā4.7 Cyber Security
āā4.7.1 Introduction and Market Overview
āā4.7.2 Historic and Forecasted Market Size (2017-2032F)
āā4.7.3 Key Market Trends, Growth Factors and Opportunities
āā4.7.4 Cyber Security: Grographic Segmentation
ā4.8 Advanced Human-Machine Interface (HMI)
āā4.8.1 Introduction and Market Overview
āā4.8.2 Historic and Forecasted Market Size (2017-2032F)
āā4.8.3 Key Market Trends, Growth Factors and Opportunities
āā4.8.4 Advanced Human-Machine Interface (HMI): Grographic Segmentation
ā4.9 3D Printing
āā4.9.1 Introduction and Market Overview
āā4.9.2 Historic and Forecasted Market Size (2017-2032F)
āā4.9.3 Key Market Trends, Growth Factors and Opportunities
āā4.9.4 3D Printing: Grographic Segmentation
ā4.10 Big Data
āā4.10.1 Introduction and Market Overview
āā4.10.2 Historic and Forecasted Market Size (2017-2032F)
āā4.10.3 Key Market Trends, Growth Factors and Opportunities
āā4.10.4 Big Data: Grographic Segmentation
ā4.11 Cloud Computing
āā4.11.1 Introduction and Market Overview
āā4.11.2 Historic and Forecasted Market Size (2017-2032F)
āā4.11.3 Key Market Trends, Growth Factors and Opportunities
āā4.11.4 Cloud Computing: Grographic Segmentation
ā4.12 Augmented Reality & Virtual Reality
āā4.12.1 Introduction and Market Overview
āā4.12.2 Historic and Forecasted Market Size (2017-2032F)
āā4.12.3 Key Market Trends, Growth Factors and Opportunities
āā4.12.4 Augmented Reality & Virtual Reality: Grographic Segmentation
ā4.13 Cognitive Computing
āā4.13.1 Introduction and Market Overview
āā4.13.2 Historic and Forecasted Market Size (2017-2032F)
āā4.13.3 Key Market Trends, Growth Factors and Opportunities
āā4.13.4 Cognitive Computing: Grographic Segmentation
ā4.14 Others
āā4.14.1 Introduction and Market Overview
āā4.14.2 Historic and Forecasted Market Size (2017-2032F)
āā4.14.3 Key Market Trends, Growth Factors and Opportunities
āā4.14.4 Others: Grographic Segmentation
Chapter 5: Industry 5.0 Market by End-Use
ā5.1 Industry 5.0 Market Overview Snapshot and Growth Engine
ā5.2 Industry 5.0 Market Overview
ā5.3 Healthcare
āā5.3.1 Introduction and Market Overview
āā5.3.2 Historic and Forecasted Market Size (2017-2032F)
āā5.3.3 Key Market Trends, Growth Factors and Opportunities
āā5.3.4 Healthcare: Grographic Segmentation
ā5.4 Manufacturing
āā5.4.1 Introduction and Market Overview
āā5.4.2 Historic and Forecasted Market Size (2017-2032F)
āā5.4.3 Key Market Trends, Growth Factors and Opportunities
āā5.4.4 Manufacturing: Grographic Segmentation
ā5.5 Automotive
āā5.5.1 Introduction and Market Overview
āā5.5.2 Historic and Forecasted Market Size (2017-2032F)
āā5.5.3 Key Market Trends, Growth Factors and Opportunities
āā5.5.4 Automotive: Grographic Segmentation
ā5.6 Supply Chain Management
āā5.6.1 Introduction and Market Overview
āā5.6.2 Historic and Forecasted Market Size (2017-2032F)
āā5.6.3 Key Market Trends, Growth Factors and Opportunities
āā5.6.4 Supply Chain Management: Grographic Segmentation
ā5.7 Electrical & Electronics Equipment
āā5.7.1 Introduction and Market Overview
āā5.7.2 Historic and Forecasted Market Size (2017-2032F)
āā5.7.3 Key Market Trends, Growth Factors and Opportunities
āā5.7.4 Electrical & Electronics Equipment: Grographic Segmentation
ā5.8 Others
āā5.8.1 Introduction and Market Overview
āā5.8.2 Historic and Forecasted Market Size (2017-2032F)
āā5.8.3 Key Market Trends, Growth Factors and Opportunities
āā5.8.4 Others: Grographic Segmentation
Chapter 6: Company Profiles and Competitive Analysis
ā6.1 Competitive Landscape
āā6.1.1 Competitive Positioning
āā6.1.2 Industry 5.0 Sales and Market Share By Players
āā6.1.3 Industry BCG Matrix
āā6.1.4 Ansoff Matrix
āā6.1.5 Industry 5.0 Industry Concentration Ratio (CR5 and HHI)
āā6.1.6 Top 5 Industry 5.0 Players Market Share
āā6.1.7 Mergers and Acquisitions
āā6.1.8 Business Strategies By Top Players
ā6.2 KUKA AG
āā6.2.1 Company Overview
āā6.2.2 Key Executives
āā6.2.3 Company Snapshot
āā6.2.4 Operating Business Segments
āā6.2.5 Product Portfolio
āā6.2.6 Business Performance
āā6.2.7 Key Strategic Moves and Recent Developments
āā6.2.8 SWOT Analysis
ā6.3 ENSAI INGENIERIA S.L.
ā6.4 SIEMENS AG
ā6.5 ROCKWELL AUTOMATION INC.
ā6.6 SCHNEIDER ELECTRIC
ā6.7 ABB LTD.
ā6.8 IBM CORPORATION
ā6.9 MICROSOFT CORPORATION
ā6.10 CISCO SYSTEMS INC.
ā6.11 GENERAL ELECTRIC COMPANY
Chapter 7: Global Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā7.1 Market Overview
ā7.2 Historic and Forecasted Market Size By Technology
āā7.2.1 Industrial Robotics (Collaborative Robots
āā7.2.2 SCARA Robots
āā7.2.3 and Others)
āā7.2.4 Internet of Things (IoT)
āā7.2.5 Cyber Security
āā7.2.6 Advanced Human-Machine Interface (HMI)
āā7.2.7 3D Printing
āā7.2.8 Big Data
āā7.2.9 Cloud Computing
āā7.2.10 Augmented Reality & Virtual Reality
āā7.2.11 Cognitive Computing
āā7.2.12 Others
ā7.3 Historic and Forecasted Market Size By End-Use
āā7.3.1 Healthcare
āā7.3.2 Manufacturing
āā7.3.3 Automotive
āā7.3.4 Supply Chain Management
āā7.3.5 Electrical & Electronics Equipment
āā7.3.6 Others
Chapter 8: North America Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā8.1 Key Market Trends, Growth Factors and Opportunities
ā8.2 Impact of Covid-19
ā8.3 Key Players
ā8.4 Key Market Trends, Growth Factors and Opportunities
ā8.4 Historic and Forecasted Market Size By Technology
āā8.4.1 Industrial Robotics (Collaborative Robots
āā8.4.2 SCARA Robots
āā8.4.3 and Others)
āā8.4.4 Internet of Things (IoT)
āā8.4.5 Cyber Security
āā8.4.6 Advanced Human-Machine Interface (HMI)
āā8.4.7 3D Printing
āā8.4.8 Big Data
āā8.4.9 Cloud Computing
āā8.4.10 Augmented Reality & Virtual Reality
āā8.4.11 Cognitive Computing
āā8.4.12 Others
ā8.5 Historic and Forecasted Market Size By End-Use
āā8.5.1 Healthcare
āā8.5.2 Manufacturing
āā8.5.3 Automotive
āā8.5.4 Supply Chain Management
āā8.5.5 Electrical & Electronics Equipment
āā8.5.6 Others
ā8.6 Historic and Forecast Market Size by Country
āā8.6.1 U.S.
āā8.6.2 Canada
āā8.6.3 Mexico
Chapter 9: Europe Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā9.1 Key Market Trends, Growth Factors and Opportunities
ā9.2 Impact of Covid-19
ā9.3 Key Players
ā9.4 Key Market Trends, Growth Factors and Opportunities
ā9.4 Historic and Forecasted Market Size By Technology
āā9.4.1 Industrial Robotics (Collaborative Robots
āā9.4.2 SCARA Robots
āā9.4.3 and Others)
āā9.4.4 Internet of Things (IoT)
āā9.4.5 Cyber Security
āā9.4.6 Advanced Human-Machine Interface (HMI)
āā9.4.7 3D Printing
āā9.4.8 Big Data
āā9.4.9 Cloud Computing
āā9.4.10 Augmented Reality & Virtual Reality
āā9.4.11 Cognitive Computing
āā9.4.12 Others
ā9.5 Historic and Forecasted Market Size By End-Use
āā9.5.1 Healthcare
āā9.5.2 Manufacturing
āā9.5.3 Automotive
āā9.5.4 Supply Chain Management
āā9.5.5 Electrical & Electronics Equipment
āā9.5.6 Others
ā9.6 Historic and Forecast Market Size by Country
āā9.6.1 Germany
āā9.6.2 U.K.
āā9.6.3 France
āā9.6.4 Italy
āā9.6.5 Russia
āā9.6.6 Spain
Chapter 10: Asia-Pacific Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā10.1 Key Market Trends, Growth Factors and Opportunities
ā10.2 Impact of Covid-19
ā10.3 Key Players
ā10.4 Key Market Trends, Growth Factors and Opportunities
ā10.4 Historic and Forecasted Market Size By Technology
āā10.4.1 Industrial Robotics (Collaborative Robots
āā10.4.2 SCARA Robots
āā10.4.3 and Others)
āā10.4.4 Internet of Things (IoT)
āā10.4.5 Cyber Security
āā10.4.6 Advanced Human-Machine Interface (HMI)
āā10.4.7 3D Printing
āā10.4.8 Big Data
āā10.4.9 Cloud Computing
āā10.4.10 Augmented Reality & Virtual Reality
āā10.4.11 Cognitive Computing
āā10.4.12 Others
ā10.5 Historic and Forecasted Market Size By End-Use
āā10.5.1 Healthcare
āā10.5.2 Manufacturing
āā10.5.3 Automotive
āā10.5.4 Supply Chain Management
āā10.5.5 Electrical & Electronics Equipment
āā10.5.6 Others
ā10.6 Historic and Forecast Market Size by Country
āā10.6.1 China
āā10.6.2 India
āā10.6.3 Japan
āā10.6.4 Southeast Asia
Chapter 11: South America Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā11.1 Key Market Trends, Growth Factors and Opportunities
ā11.2 Impact of Covid-19
ā11.3 Key Players
ā11.4 Key Market Trends, Growth Factors and Opportunities
ā11.4 Historic and Forecasted Market Size By Technology
āā11.4.1 Industrial Robotics (Collaborative Robots
āā11.4.2 SCARA Robots
āā11.4.3 and Others)
āā11.4.4 Internet of Things (IoT)
āā11.4.5 Cyber Security
āā11.4.6 Advanced Human-Machine Interface (HMI)
āā11.4.7 3D Printing
āā11.4.8 Big Data
āā11.4.9 Cloud Computing
āā11.4.10 Augmented Reality & Virtual Reality
āā11.4.11 Cognitive Computing
āā11.4.12 Others
ā11.5 Historic and Forecasted Market Size By End-Use
āā11.5.1 Healthcare
āā11.5.2 Manufacturing
āā11.5.3 Automotive
āā11.5.4 Supply Chain Management
āā11.5.5 Electrical & Electronics Equipment
āā11.5.6 Others
ā11.6 Historic and Forecast Market Size by Country
āā11.6.1 Brazil
āā11.6.2 Argentina
Chapter 12: Middle East & Africa Industry 5.0 Market Analysis, Insights and Forecast, 2017-2032
ā12.1 Key Market Trends, Growth Factors and Opportunities
ā12.2 Impact of Covid-19
ā12.3 Key Players
ā12.4 Key Market Trends, Growth Factors and Opportunities
ā12.4 Historic and Forecasted Market Size By Technology
āā12.4.1 Industrial Robotics (Collaborative Robots
āā12.4.2 SCARA Robots
āā12.4.3 and Others)
āā12.4.4 Internet of Things (IoT)
āā12.4.5 Cyber Security
āā12.4.6 Advanced Human-Machine Interface (HMI)
āā12.4.7 3D Printing
āā12.4.8 Big Data
āā12.4.9 Cloud Computing
āā12.4.10 Augmented Reality & Virtual Reality
āā12.4.11 Cognitive Computing
āā12.4.12 Others
ā12.5 Historic and Forecasted Market Size By End-Use
āā12.5.1 Healthcare
āā12.5.2 Manufacturing
āā12.5.3 Automotive
āā12.5.4 Supply Chain Management
āā12.5.5 Electrical & Electronics Equipment
āā12.5.6 Others
ā12.6 Historic and Forecast Market Size by Country
āā12.6.1 Saudi Arabia
āā12.6.2 South Africa
Chapter 13 Investment Analysis
Chapter 14 Analyst Viewpoint and Conclusion
Global Industry 5.0 Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
Historical Data: |
2017 to 2022 |
Market Size in 2023: |
USD 154.73 Bn |
Forecast Period 2024-32 CAGR: |
18.09% |
Market Size in 2032: |
USD 691.02 Bn |
Segments Covered: |
By Technology |
|
|
By End-Use Vertical |
|
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By Region |
|
||
Key Market Drivers: |
|
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Key Market Restraints: |
|
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Key Opportunities: |
|
||
Companies Covered in the report: |
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Frequently Asked Questions :
The forecast period in the Industry 5.0 Market research report is 2024-2032.
Siemens AG, IBM Corporation, KUKA AG, Rockwell Automation Inc, NSAI INGENIERIA S.L., ABB Ltd., Microsoft Corporation, Cisco Systems, and Other major players.
The Industry 5.0 Market is segmented into Technology, End-Use Vertical, and Region. By Technology, the market is categorized into Industrial Robotics, Cyber Security, Internet of Things (IoT), 3D Printing, Advanced Human-Machine Interface (HMI), Big Data, Augmented Reality & Virtual Reality, Cloud Computing, Cognitive Computing, and Others. By End-Use Vertical, the market is categorized into Manufacturing, Supply Chain Management, Automotive, Healthcare, Electrical & Electronic Equipment, and Others. By region, it is analyzed across North America (U.S.; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain, etc.), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).
Industry 5.0 is a new manufacturing paradigm that places a premium on human-machine interaction. The rise of the digital industry preceded Industry 5.0 with innovations such as the Industrial Internet of Things or the merging of Artificial Intelligence and Big Data created a new form of technology that can provide firms with data-based knowledge.
Industry 5.0 Market Size Was Valued at USD 154.73 Billion in 2023, and is Projected to Reach USD 691.02 Billion by 2032, Growing at a CAGR of 18.09% From 2024-2032