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trendingreportz · 5 months ago

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Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market - Forecast(2024 - 2030)

AI in Cobots Market Overview

The global AI in cobots market in 2021 reached $118.2 million and is estimated to grow at a CAGR of 34.22% during the forecast period to reach $616.3 million by 2027. The entire robotics industry is witnessing the effects of Covid-19 pandemic, with strain felt on the supply chain restricting parts of imports and equipment exports in H1 2021 especially. The overall economic uncertainty also pushed majority of customers to defer purchases in order to conserve capital. Recent advancements in Machine Learning and human robot interaction have enabled collaborative robots to precisely execute tasks in dynamically changing workspaces, enabling operations and material handling to run more smoothly, efficiently and productively. AI is now intelligently powering cobots by leveraging billions of hours of iterative machine learned practices in manufacturing, production and engineering. Collaborative robots (cobots) represent a variant of industrial robots and is currently considered to be one of the fastest growing segments in industrial automation driven by improved technology such as virtual assistants, cloud computing, internet of things. A cobot is a type of robot that is designed to operate alongside humans in shared workspaces. These machines are easy to program and deploy, can increase productivity manifold, and offer high returns on investment.

Report Coverage

The report: “AI in Cobots Market – Forecast (2022-2027)”, by IndustryARC covers an in-depth analysis of the following segments of the AI in Cobots market

By Payload: Up to 5 Kg, 5 to 10 Kg, Above 10 Kg. By Application: Handling, Assembling/Disassembling, Welding and Soldering, Dispensing, Packaging and Others. By End User: Automotive, Electronics, Semiconductor, Plastics and Polymer, Food and Beverage, Healthcare, Metals and Machining and others. By Geography: North America (U.S, Canada, Mexico), South America (Brazil, Argentina and others), Europe (Germany, UK, France, Italy, Spain, Russia and Others), APAC (China, Japan India, SK, Aus and Others), and RoW (Middle east and Africa).

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Key Takeaways

Group PSA’s Sochaux plant in France has chosen Universal Robots UR10 for its "Plant of the Future" Project. Two UR10 cobots have been implemented at the Sochaux plant in screw driving applications on body-in-white assembly lines to increase performance and reduce production costs at the factory.

In 2019, Walmart has planned to invest $2.7 billion to add new robots totaling almost 4,000 robots in its stores and facilities in order to shift human workforce to customer service roles. The robots are majorly used for scanning, sorting goods from delivery trucks. This is set to create opportunities for AI in cobots in retail sector.

AI in Cobots Market Segment Analysis – By Application

Material Handling had a major share in the AI in Cobots Market with a value share of approximately 22.3% in 2021. Material handling is one of the major applications of industrial robots. Robots in material handling segment are used in applications such as movement of goods, protection, storage and control of products throughout manufacturing as well as warehousing of the products. Any industries that need to store, receive, dispatch or ship its products always entail industrial robot. Manufacturing and Warehouse operations involving handling of goods becomes complex when it takes place at a larger scale. This is made easy and efficient with the aid of industrial robots. Material handling robots are majorly used in warehousing applications as compared to its counterpart. Material handling applications that benefit from the incorporation of AI cobots encompass picking, packing, palletizing, sorting, and more. The wide-ranging use of these applications makes them a more site-specific solution for safety implementation. Operators and other workers are often moving or transporting other materials around the AI cobot, requiring additional planning to avoid hazardous contact. Safety-rated grippers are rare in the market at the present time. Currently, manufacturers typically use pneumatic grippers, which require safety considerations for impacts and the loss of power or suction. Uses of bar code, RFID, voice-activated receiving and packaging, pick-to-light technology, transportation management system is some of the drifts observed by material handling robots. Cycle counting, annual, physical and perpetual are few approaches of keeping a track of inventory.

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AI in Cobots Market Segment Analysis – By End User

Among industries, automotive held the largest share in 2021 at 23.2%. The industry development of AI cobots is ongoing in several different areas. Faster reaction time, more exact movement patterns, orientation capabilities, capabilities in imitating humans – all these aspects contribute to advancements in AI driven cobot development. In addition, brain-computer interfaces is an exciting area that has made significant progress recently. In recent developments in technologies such as linked data, parallel processing, edge computing and distributed artificial intelligence allow for efficient decision making by cobots, making execution robust and efficient. A challenge with the market deployment of AI cobots is that insufficient technology maturity hinders the market deployment of cobots. AI Cobot technology includes hardware design, sensors and actuators, efficient information processing, video processing, planning and multiple of fields from artificial intelligence landscapes, along with technologies that ensure safety, predictability and security of the solution. There is currently a need for high amount of signaling, bandwidth, low latency, and fast decision-making capabilities through efficient computing for AI driven cobots in safety-critical environments, wherein the facilities do not need human intervention. While the automation industry was affected during the pandemic, the longterm outlook for automation is positive, as end users evaluate their reliance on overseas supply chains and reevaluate their operations in a world where a pandemic can stop production cold. Automation is hence being looked upon as a valuable bulwark against the risks laid bare during the pandemic, and this can act as a strong growth driver for AI driven cobots and robots in industrial automation end user verticals.

AI in Cobots Market Segment Analysis – By Geography

Geographically, APAC held major share of 37% of AI in cobots market share in 2021, owing to high adoption of automation technologies in industrial and automotive warehouses and increasing investments and funding. North America is the next largest market with 33% revenue share in 2021. South America is witnessing the fastest growth rate with a CAGR of around 46.6% during the forecast period 2022 – 2027 owing to high investments and growing deployment of automation technology mainly in the countries such as Brazil, Argentina and Colombia. Portuguese company MOV.AI has announced in October, 2020 that it has raised $4m in funding. The company has designed its ROS for manufacturers of cobots, as well as academics and automation integrators. It also contributes to the ROS community. Some of the robots with AI enabled are YuMi from ABB, Franka Emika Panda, APAS from Bosch, Aura, Aubo, NEXTAGE and CORO etc.

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AI in Cobots Market Drivers

Growing demand for automation and technological advancements set to drive the AI In Collaborative Robotics Market

There has been significant growth in AI driven collaborative robotics market owing to the increased demand for automation, high competition in the e-commerce industry, and the advancement in technologies such as Internet of Things (IoT) and Artificial Intelligence (AI). The use of robots reduces the risk of injury to workforce has also witnessed growth. Integration of robots with artificial intelligence (AI) and machine vision technology has been assisting companies in obstacle detection, navigation, movement of the goods. This has been attracting vendors in automating the warehouses and installing the robots in warehouse, thereby driving the collaborative robotics market. In 2019, Geek Plus Robotics, an intelligent logistics robot solution provider had launched the world’s first interweaving sorting robot, which could be an alternative to conveyor systems. Mobile Industrial Robots (MiR), a leading manufacturer of collaborative mobile robots launched a new warehouse robot to automate the transportation of pallets and heavy goods across warehouses. Development of new robots for various applications of warehouses set to boost the demand of collaborative robotics market.

Growth in E-Commerce Sector

E-Commerce industry is rising at global level of retail and logistics. As a result, growing number of e-commerce companies look forward to automate warehouses. Warehouse robots play a key role in e-commerce industry for various applications such as automated storage and retrieval, picking and placing, order fulfillment operations and many others. Adoption of warehouse cobots by e-commerce companies helps in reducing operational and logistical costs and save on delivery time. This has been increasing automation in warehouses in order to deliver goods to shoppers in faster and more efficient ways by increasing productivity of supply chain. In developed countries such as the U.S., and Canada, Grocery retailers are focusing on deploying robots that bring the shelf stacks to human workers, who pick out the right products and package them up to be sent out. These robots travel with high speed, faster than humans, thereby increasing efficiency of the work. In 2019, Amazon had introduced new warehouse cobots in several of its U.S. warehouses that scan and pack items to be sent to customers. It has started using robots in warehouses, which scans goods coming down a conveyor belt raising the scope of adoption. In 2020 Covariant.ai launched its AI robots and solutions through its warehouse bin-picking robots which is being used by companies such as Knapp, a warehouse logistics company and Obeta, a German electronics retailer. As per estimates, around 2,000 AI powered robots have been deployed across warehouses globally.

AI in Cobots Market Challenges

High Initial Investment

The initial cost of AI driven collaborative robots that are used in factories are high as the cost of automation is much higher in comparison with labor costs. This prevents most companies from completely automating their operations with robots. The average selling prices of cobots vary from $25,000 to $50,000 and does not include the installation costs. In addition to this, there is a training cost associated with the robots that further restricts the operators’ likeability for integrating robots into their operating lines. Slow deployment of collaborative robotic systems by smaller and medium enterprises hampers the robotics market. However, high labor costs are set to drive the collaborative robot market during forecast period.

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AI in Cobots Market Landscape

Technology launches, acquisitions, and R&D activities are key strategies adopted by players in the AI in Cobots market. In 2021, the market of AI in Cobots market has been consolidated by the top players

Fanuc

Techman Robots

Rethink Robots

AUBA Robots

ABB

Kawasaki

KUKA

Yaskawa

Staubli

Universal Robots

Recent Developments

In May 2019, the government of Saudi Arabia announced an investment of $30 billion to upgrade warehousing facilities by adoption of the advanced autonomous robots in the newly built warehouses across Saudi Arabia, thereby contributing towards the growth of the cobots market during forecast period in this region.

In October 2019, the South Korean government announced an investment $150 million to develop the intelligent robots for various industrial application which includes warehousing and logistics, thereby enhancing the growth of the cobots market.

#Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market size #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Industry #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market share #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems top 10 companies #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Market Report #Artificial Intelligence (AI) in Collaborative Robotic (Cobots) Systems Industry outlook

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semiconductor-hub · 2 months ago

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Warehouse Automation Market Demand, Industry News, and Developments Analysis 2032

Warehouse automation refers to the use of technology and automated systems to optimize and streamline warehouse operations. This encompasses a wide range of solutions, including robotic systems, automated storage and retrieval systems (AS/RS), and advanced inventory management software. By automating routine tasks and processes, warehouse automation enhances efficiency, accuracy, and productivity.

The implementation of automation technologies in warehouses addresses common challenges such as labor shortages, increasing order volumes, and the need for faster fulfillment. Automated systems can handle tasks such as sorting, picking, packing, and inventory tracking with high precision and speed, ultimately leading to reduced operational costs and improved service levels.

The Warehouse Automation Market size was valued at USD 16.25 billion in 2023 and is expected to reach USD 61.46 billion by 2032 and grow at a CAGR of 15.93% over the forecast period 2024-2032.

Future Scope

The future of warehouse automation is marked by rapid technological advancements and growing adoption across various industries. Emerging technologies such as artificial intelligence (AI) and machine learning are expected to further enhance the capabilities of automation systems, enabling more intelligent decision-making and adaptive processes.

The integration of Internet of Things (IoT) devices and advanced sensors will provide greater visibility into warehouse operations, allowing for real-time monitoring and optimization. Additionally, the development of autonomous vehicles and drones for material handling and inventory management will expand the scope of automation in warehouses.

Trends

Key trends shaping the warehouse automation landscape include the increasing adoption of robotics and AI-driven solutions. Robotics technology is becoming more sophisticated, with innovations in collaborative robots (cobots) and autonomous mobile robots (AMRs) that work alongside human workers to improve efficiency.

The use of AI and data analytics is driving more intelligent automation systems, enabling predictive maintenance, real-time optimization, and enhanced decision-making. Additionally, there is a growing emphasis on scalability and flexibility, with automation solutions designed to adapt to changing business needs and evolving supply chain requirements.

Applications

Warehouse automation is applied in various sectors, including retail, e-commerce, manufacturing, and logistics. In retail and e-commerce, automated systems enhance order fulfillment processes, reduce lead times, and improve inventory management. In manufacturing and logistics, automation streamlines material handling, assembly, and distribution processes.

The technology also finds applications in cold storage and specialized warehouses, where maintaining specific environmental conditions and handling sensitive products require precise and efficient operations.

Solutions and Services

Providers of warehouse automation solutions offer a range of technologies and services, including robotic systems, AS/RS, and advanced inventory management software. These solutions are designed to integrate seamlessly with existing warehouse infrastructure and optimize various operational aspects.

Support services typically include system design, installation, integration, and ongoing maintenance. Additionally, companies offer consulting and training services to help organizations implement and maximize the benefits of warehouse automation.

Key Points

Warehouse automation optimizes operations through technologies such as robotics, AS/RS, and inventory management software.

Future developments include AI integration, IoT devices, and autonomous vehicles.

Trends include increased use of robotics, AI-driven solutions, and scalable, flexible systems.

Applications span retail, e-commerce, manufacturing, logistics, and specialized warehouses.

Solutions and services include robotic systems, AS/RS, software, installation, integration, and consulting.

Read More Details: https://www.snsinsider.com/reports/warehouse-automation-market-4211

Akash Anand — Head of Business Development & Strategy

Email: [email protected]

Phone: +1–415–230–0044 (US) | +91–7798602273 (IND)

#Warehouse Automation Market

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jack-danial · 3 months ago

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Evolution of Packaging Robots: Transforming Efficiency and Precision in Manufacturing

In today's fast-paced manufacturing landscape, efficiency and precision are paramount. Packaging robots have emerged as game-changers in this arena, revolutionizing how products are packed and prepared for distribution. These advanced machines not only streamline operations but also enhance overall productivity and reduce costs. Here's a closer look at how packaging robots are reshaping the industry.

The Rise of Packaging Robots

The integration of robotics into packaging processes has been driven by the need for higher efficiency and consistency. Traditionally, packaging tasks were labor-intensive, often involving repetitive and mundane activities. This led to a demand for automation that could handle high volumes with minimal error.

Packaging robots are designed to tackle a wide range of tasks, from sorting and packing to palletizing and labeling. They come equipped with sophisticated sensors and advanced algorithms that allow them to perform these tasks with remarkable speed and accuracy.

Key Benefits of Packaging Robots

Enhanced Efficiency: One of the primary advantages of packaging robots is their ability to work continuously without fatigue. They operate at a consistent pace, which significantly increases throughput and reduces the time required for packaging operations. This is especially beneficial in high-volume production environments where speed is crucial.

Improved Precision: Robotics technology offers unparalleled precision in packaging tasks. With advanced sensors and vision systems, robots can handle delicate items and perform intricate packaging operations with high accuracy. This minimizes the risk of product damage and ensures that each package meets quality standards.

Cost Savings: While the initial investment in packaging robots can be substantial, the long-term cost savings are significant. Robots reduce the need for manual labor, lower the incidence of errors, and minimize waste. Additionally, they can be programmed to handle multiple packaging formats, reducing the need for specialized equipment.

Flexibility and Adaptability: Modern palletizer machine are highly versatile. They can be easily reprogrammed to accommodate different packaging requirements, making them suitable for a wide range of products and industries. This adaptability is particularly valuable in dynamic markets where product lines frequently change.

Enhanced Safety: By taking over dangerous and repetitive tasks, packaging robots improve workplace safety. They reduce the risk of workplace injuries associated with manual handling and ensure that employees can focus on more complex and value-added tasks.

Innovations in Packaging Robot Technology

The field of packaging robots continues to evolve with technological advancements. Some notable innovations include:

Collaborative Robots (Cobots): These robots are designed to work alongside human operators, enhancing productivity while ensuring safety. Cobots are equipped with sensors that allow them to detect and respond to the presence of humans, making them ideal for environments where human-robot interaction is frequent.

AI and Machine Learning: Integration of artificial intelligence (AI) and machine learning algorithms enables robots to learn and adapt to new tasks over time. This enhances their ability to handle complex packaging processes and improves their efficiency.

Flexible End-of-Arm Tools: Advances in end-of-arm tooling (EOAT) have made robots more adaptable to various packaging tasks. These tools can be customized to handle different product shapes, sizes, and packaging materials.

Real-Time Data Analytics: Modern packaging robots are equipped with sensors that provide real-time data on performance and operational metrics. This data can be used to optimize processes, predict maintenance needs, and ensure consistent quality.

The Future of Packaging Robots

As technology continues to advance, the role of packaging robots will become even more integral to manufacturing processes. The future will likely see further improvements in AI-driven automation, greater collaboration between humans and robots, and enhanced flexibility to meet evolving market demands.

In conclusion, packaging robots represent a significant leap forward in manufacturing efficiency and precision. Their ability to handle high volumes, perform complex tasks with accuracy, and improve overall safety makes them indispensable in modern production environments. As technology evolves, packaging robots will continue to drive innovation and shape the future of manufacturing.

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nmsc-market-pulse · 7 months ago

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Service Robotics Market: Transforming Industries with Automation

Introduction:

According to the study by Next Move Strategy Consulting, the global Service Robotics Market size is predicted to reach USD 192.29 billion with a CAGR of 20.8% by 2030.

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In recent years, service robotics has emerged as a transformative force, reshaping industries across the globe with its automation capabilities. From healthcare to manufacturing, retail to logistics, service robotics is revolutionizing traditional processes and driving efficiency such never before.

The Rise of Service Robotics:

Service robotics has rapidly gained traction due to advancements in artificial intelligence, machine learning, and sensor technologies. These innovations have enabled robots to perform a wide range of tasks previously reserved for humans, leading to increased productivity, cost savings, and improved safety in various industries.

In the past, robotics was primarily associated with heavy industrial applications, such as automotive manufacturing. However, with the advent of lightweight materials, compact sensors, and sophisticated algorithms, robots have become more versatile and adaptable to different environments. This has opened up new opportunities for their deployment across diverse sectors, including healthcare, retail, agriculture, and hospitality.

Transforming Healthcare:

In the healthcare sector, service robotics is playing a pivotal role in patient care, diagnosis, and treatment. Robots equipped with sensors and AI algorithms can assist doctors and nurses in surgeries, monitor vital signs, and provide companionship to elderly patients. This not only enhances the quality of care but also reduces the workload on healthcare professionals, allowing them to focus on critical tasks.

Robotic surgical systems, such as the da Vinci Surgical System, have revolutionized minimally invasive surgery, offering greater precision, flexibility, and control to surgeons. These systems enable complex procedures to be performed through small incisions, resulting in faster recovery times and reduced complications for patients. In addition to surgical robots, service robots are also being used for telemedicine, rehabilitation, and drug delivery, expanding access to healthcare services and improving patient outcomes.

Revolutionizing Manufacturing:

In manufacturing, service robotics is streamlining production processes and driving operational efficiency. Robots equipped with advanced sensors and vision systems can perform complex tasks with precision and speed, leading to higher output and lower defect rates. Collaborative robots, or cobots, are working alongside human workers, enhancing safety and productivity on the factory floor.

Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) are transforming material handling and logistics within manufacturing facilities. These robots can navigate dynamic environments, transport materials between workstations, and optimize workflow layouts in real-time. By automating repetitive and physically demanding tasks, service robotics is not only improving efficiency but also enhancing the working conditions for factory workers.

Empowering Retail and Logistics:

The retail and logistics sectors are also benefiting from the integration of service robotics. Autonomous robots are being used for inventory management, order fulfillment, and last-mile delivery, reducing labor costs and improving service quality. Automated warehouses equipped with robotic systems can handle large volumes of goods efficiently, enabling retailers to meet the demands of e-commerce customers.

In warehouses, robots are employed for tasks such as picking, packing, and sorting items, increasing throughput and accuracy in fulfillment operations. With the rise of omnichannel retailing and same-day delivery expectations, retailers are turning to robotics to optimize their supply chain and enhance the customer experience. Delivery drones and ground-based robots are being deployed for fast and contactless deliveries, especially in urban areas where congestion and traffic congestion are common challenges.

Challenges and Opportunities:

While the prospects of service robotics are promising, there are challenges that need to be addressed. These include concerns about job displacement, data security, and regulatory compliance. However, with proper planning and investment, these challenges can be overcome, unlocking the full potential of service robotics in transforming industries.

Job displacement is a significant concern for workers who fear being replaced by robots. However, studies have shown that automation often leads to the creation of new jobs and the upskilling of existing workers. As robots take over mundane and repetitive tasks, humans can focus on higher-value activities that require creativity, critical thinking, and emotional intelligence. Companies need to invest in training and retraining programs to ensure that their workforce remains relevant in the age of automation.

Inquire before buying, here: https://www.nextmsc.com/service-robotics-market/inquire-before-buying

Data security is another area of concern, especially in industries where robots collect and process sensitive information. Robust cybersecurity measures are essential to protect against data breaches, hacking attempts, and unauthorized access to robotic systems. This includes encryption, authentication, and access control mechanisms to safeguard data integrity and confidentiality.

Regulatory compliance is also a challenge for companies deploying service robotics, as regulations vary across different jurisdictions and industries. Manufacturers need to ensure that their robots comply with safety standards, ethical guidelines, and industry regulations to avoid legal liabilities and reputational damage. This requires collaboration between policymakers, industry stakeholders, and robotics experts to develop clear and coherent regulatory frameworks that foster innovation while ensuring public safety and ethical use of technology.

Economic Disparities and Accessibility:

While service robotics holds great potential for transforming industries and improving productivity, there is a concern about economic disparities and accessibility. The upfront costs associated with implementing robotics solutions can be prohibitive for small and medium-sized enterprises (SMEs) and businesses operating in developing economies. As a result, there is a risk that only large corporations with significant financial resources will be able to afford and benefit from robotics technology, widening the gap between industry leaders and smaller players. Addressing this challenge requires initiatives to promote affordability, accessibility, and inclusivity in the adoption of service robotics, such as government subsidies, financing options, and technology-sharing programs.

Ethical Considerations and Human-Robot Interaction:

As service robotics becomes more pervasive in our daily lives, there are ethical considerations surrounding human-robot interaction and the impact on society. Questions arise about the ethical use of robots in sensitive areas such as healthcare, where issues of patient privacy, autonomy, and consent come into play. There is also a need to define ethical guidelines for the design, deployment, and use of robots to ensure that they respect human rights, cultural norms, and ethical principles. Additionally, there is a growing interest in exploring the psychological and social implications of interacting with robots, including the potential for emotional attachment, trust, and empathy. To address these concerns, interdisciplinary research and dialogue are essential to develop ethical frameworks and guidelines that promote responsible and ethical use of service robotics while maximizing their benefits for society.

Conclusion:

The service robotics market is poised for exponential growth, driven by technological advancements and increasing demand for automation. As industries continue to adopt robotics solutions, we can expect to see further improvements in efficiency, safety, and innovation. Service robotics is not just transforming industries—it is shaping the future of work and redefining the way we live and interact with technology. By harnessing the power of AI, machine learning, and robotics, businesses can unlock new opportunities for growth, competitiveness, and sustainability. Whether it's improving patient outcomes in healthcare, optimizing production processes in manufacturing, or enhancing customer experiences in retail, service robotics has the potential to revolutionize every aspect of our lives. As we embrace the Fourth Industrial Revolution, let us embrace the possibilities of service robotics and build a future where humans and robots work together to create a better world.

#service robotics #artificial intelligence #ai #robotics #market research #industry trends

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svayarobotics · 7 months ago

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The Synergy of Steel and Skill: How Collaborative Robots Are Transforming Manufacturing

Collaborative Robots

In the contemporary landscape of industrial production, the integration of Collaborative Robots, often referred to as Cobots, signifies a pivotal shift towards more dynamic and versatile manufacturing environments. These sophisticated automatons are not just tools of automation; they are becoming integral partners in the craft of manufacturing, bringing a harmonious blend of precision and flexibility to assembly lines worldwide.

The Evolution of Collaborative Robots in Industry

Historically, robots in manufacturing settings were isolated from human operators, designated to perform monotonous, repetitive tasks within confined spaces. However, the advent of Cobots has disrupted this norm. Engineered to work alongside humans, these robots are equipped with advanced sensors and control systems that ensure safety and enhance human-machine interaction.

A Cobot's ability to learn and adapt to different tasks makes it an invaluable asset. For example, in automotive manufacturing, Cobots are used to assist with intricate assembly processes that require a high degree of precision. Their deployment reduces the ergonomic strain on human workers and increases the overall quality of production.

Strategic Implementation of Cobots by Manufacturers

The shift to Cobots does not merely represent a technological upgrade but a strategic transformation within factories. The role of a Cobots manufacturer is not only to produce these machines but also to tailor them to integrate seamlessly into existing workflows. This bespoke adaptation is crucial as it allows for minimal disruption and maximizes the efficiency gains from the robot's deployment.

One of the most significant advantages of Cobots is their flexibility. Unlike their predecessors, Cobots can be reprogrammed and redeployed for different tasks within the same facility. This versatility is particularly beneficial for small to medium-sized enterprises (SMEs) that require production lines to switch between products more frequently.

Economic Impact of Cobots in Manufacturing

The economic implications of integrating Cobots into manufacturing are profound. Initially, the investment might seem substantial; however, the return on investment (ROI) is accelerated by the substantial gains in productivity and reduction in operational costs. Cobots contribute to a decrease in production downtime and maintenance costs, as their precision and reliability prevent the frequent errors that human operators might make.

Moreover, Cobots enable manufacturers to maintain production within domestic markets, mitigating the need to offshore factories to low-cost countries. This not only helps in retaining jobs locally but also reduces the logistical costs associated with long-distance supply chains.

Enhancing Worker Safety and Job Satisfaction

Safety is a paramount concern in any manufacturing setting, and Cobots excel in this arena. Equipped with state-of-the-art safety features, such as collision detection and responsive stop mechanisms, Cobots ensure a safe working environment. This safety enhancement is critical in industries where human workers are at risk of injuries from repetitive tasks or heavy lifting.

Furthermore, the introduction of Cobots relieves workers from the monotony of repetitive tasks, allowing them to focus on more complex and creative aspects of production. This shift not only augments job satisfaction but also fosters a more engaging and mentally stimulating workplace.

Future Trends: Cobots and Beyond

As the technology behind Cobots continues to evolve, their capabilities are expected to become even more sophisticated. With advancements in artificial intelligence (AI) and machine learning, Cobots will be able to perform not only physical tasks but also make autonomous decisions based on real-time data. This evolution will further enhance their utility in manufacturing, making them an even more integral part of the production process.

In conclusion, the synergy between steel and skill introduced by Cobots is transforming the manufacturing sector. This transformation is not merely about automating tasks but about enhancing and augmenting the human workforce's capabilities. As Cobots become more embedded in industrial operations, their impact on productivity, safety, and innovation continues to grow, heralding a new era of manufacturing that is more efficient, safer, and more sustainable. The role of the Cobots manufacturer will be crucial in navigating this shift, ensuring that these robotic assistants are not only accessible but also adaptable to the varying needs of a rapidly evolving industry.

#technology #robotics #cobots #collaborative robots #automationrobotics #manufacturing robots

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businessresearchreportss · 9 months ago

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Future Trends in Manufacturing Sector ICT Market: Predictions for Industry Evolution and Innovation

The manufacturing sector ICT market is poised for significant evolution and innovation driven by emerging technologies and shifting industry dynamics.

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Here are some predictions for future trends in the manufacturing sector ICT market:

AI-Powered Manufacturing: Artificial intelligence (AI) will play a central role in transforming manufacturing operations, with predictive analytics, machine learning, and cognitive automation enabling predictive maintenance, quality control, and demand forecasting. AI-powered systems will optimize production processes, reduce downtime, and improve overall efficiency.

Digital Twins and Simulation: The adoption of digital twins will become more widespread, allowing manufacturers to create virtual replicas of physical assets and processes. Digital twins will enable real-time simulation, optimization, and analysis of manufacturing operations, leading to better decision-making, faster time-to-market, and improved product quality.

Edge Computing for Real-Time Insights: Edge computing will gain prominence in manufacturing environments, enabling data processing and analytics to be performed closer to the point of data generation. Edge computing architectures will support real-time monitoring, analysis, and control of manufacturing processes, enhancing agility and responsiveness.

5G Connectivity for Smart Factories: The rollout of 5G networks will enable high-speed, low-latency communication between devices and systems in smart factories. 5G connectivity will support a wide range of IoT devices, robots, and autonomous systems, enabling real-time data exchange, remote monitoring, and control of manufacturing equipment.

Cyber-Physical Systems Integration: Cyber-physical systems (CPS) integration will enable seamless interoperability between digital and physical components in manufacturing environments. CPS will enable autonomous production processes, self-optimizing systems, and adaptive manufacturing capabilities, driving efficiency and flexibility.

Advanced Robotics and Automation: Robotics and automation technologies will continue to evolve, with advancements in robotics capabilities, collaborative robots (cobots), and autonomous guided vehicles (AGVs). Robotics and automation will enable flexible, scalable, and agile manufacturing operations, improving productivity and reducing manual labor.

Blockchain for Supply Chain Transparency: Blockchain technology will be increasingly used to enhance supply chain transparency, traceability, and trustworthiness. Blockchain-enabled platforms will provide secure, immutable records of transactions, ensuring authenticity and provenance of products throughout the supply chain.

Augmented Reality (AR) for Training and Maintenance: Augmented reality (AR) technologies will be integrated into manufacturing processes for training, maintenance, and remote assistance. AR-enabled tools will provide interactive, hands-on training experiences, facilitate troubleshooting, and improve productivity on the shop floor.

Sustainable and Green Manufacturing Practices: Manufacturers will prioritize sustainability and environmental stewardship, leveraging ICT solutions to reduce energy consumption, minimize waste, and optimize resource usage. Sustainable manufacturing practices will become integral to corporate social responsibility (CSR) initiatives and brand reputation.

Personalized and On-Demand Manufacturing: Advances in ICT will enable personalized and on-demand manufacturing models, allowing manufacturers to produce customized products in small batch sizes at scale. ICT solutions such as 3D printing, digital design tools, and agile manufacturing processes will support flexible and adaptive production capabilities.

In summary, the future of the manufacturing sector ICT market will be characterized by AI-powered manufacturing, digital twins, edge computing, 5G connectivity, cyber-physical systems integration, advanced robotics, blockchain for supply chain transparency, AR for training and maintenance, sustainable manufacturing practices, and personalized manufacturing models. These trends will drive innovation, efficiency, and competitiveness in the manufacturing industry, paving the way for the factories of the future.

#Manufacturing Sector ICT Market

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shashiemrf · 3 years ago

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Industrial Robotics Market Global Upcoming Demand, Growth Analysis & Forecast till 2022

Industrial Robotics Market: Industrial robotics comprises mechanical systems that are useful for various activities of industrial applications. Market Research Future (MRFR) has published a research report about the global industrial robotics market that observes a huge surge for this market at 14% CAGR (Compound Annual Growth Rate) between 2016 and 2022.

The primary factor driving the global industrial robotics market growth is high demand of robotics products in industrial application especially in manufacturing sectors, growing adoption of robotics in small & medium size organizations and growing investment by the automotive industry in technological advancement.

The global industrial robotics market has been segmented on the basis of application, end user, type, and lastly, region. The application-based segmentation segments this market into assembling, material handling, painting, palletizing, welding, and others. As per segmentation with regards to the end users, the market has been segmented into automotive, electronics, entertainment, food & beverage, rubber & plastic, pharmaceuticals, and others. By type, the market segmentation covers 6-axis robots, articulated, Cartesian, delta, dual-arm, parallel, redundant, selective compliance assembly robot arm, (SCARA) and others.

The regional segmentation of the global industrial robotics market segments the market into North America, Europe, Asia Pacific, and the Middle East & Africa. The Asia Pacific is the biggest regional market. Japan is the leading market in this region due to maximum technological advancement, followed by China and India. Japan alone is responsible for half of the market revenue due to its technological advancement. Another major country-specific market in this region is South Korea, followed by the remaining countries of the Asia Pacific region.

Europe is the second largest regional market due to the high density of population. Due to technological advancement, Western Europe is a bigger market than Eastern Europe. In this region, the strongest economies that can be perfect markets are France, Germany, Italy, Spain, and the UK, followed by the remaining countries of Europe.

North America is the third largest market due to technological advancement, the presence of many key market players, and many industries using robotic applications for activities like welding, packaging, and testing. The pressing country-specific markets in this region are the USA and Canada.

The MEA region shows a limited market with slow and steady growth due to the lack of technological development, lack of education, lack of awareness, and political instability.

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Key Players: The key players in the global industrial robotics market include ABB Ltd. (Switzerland), Bosch GmbH (Germany), Denso Corporation (Japan), Fanuc Corporation (Japan), Kawasaki Heavy Industries Ltd. (Japan), Kuka AG (Germany), Mitsubishi Electric Corporation (Japan), Rockwell Automation Inc. (USA), Toshiba Corporation (Japan), and Yaskawa Electric Corporation (Japan).

Latest Industry News:

Veo Robotics Inc. has introduced collaborative robot arms, known as Cobots. Cobots can help small and midsize enterprises. They can work alongside people more safely than traditional industrial automation. Cobots add multiple cameras and sensors to a work cell, combining 3D sensing through LiDAR with computer vision and artificial intelligence (AI). This enables larger robots to slow or stop around people but otherwise operate at full speed. 5 NOV 2018

uArm has been famous for selling robot arms to consumers at affordable prices like US $ 200. Now they have introduced a more capable, 7-axis arm that costs US $ 2,000. 20 NOV 2018

Canadian startup Omnirobotic is set to begin on-site field testing for its industrial painting robot to locations in Canada and the USA, with larger rollouts set to begin in early 2019. 30 NOV 2018

Table of Content:

Report Prologue

Introduction

2.1 Definition

2.2 Scope Of The Study

2.2.1 Research Objective

2.2.2 Assumptions

2.2.3 Limitations

2.3 Market Structure

Research Methodology

3.1 Research Process

3.2 Primary Research

3.3 Secondary Research

3.4 Market Size Estimation

3.5 Forecast Model

Market Dynamics

4.1 Drivers

4.2 Restraints

4.3 Opportunities

4.4 Challenges

Market Factor Analysis

5.1 Value Chain Analysis/Supply Chain Analysis

5.2 Porters Five Forces

5.2.1. Bargaining Power Of Suppliers

5.2.2. Bargaining Power Of Customer

5.2.3. Intensity Of Competitor’s

5.2.4. Threat Of New Entrants

5.2.5 Threat Of Substitutes

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Market Research Future (MRFR) is an esteemed company with a reputation of serving clients across domains of information technology (IT), healthcare, and chemicals. Our analysts undertake painstaking primary and secondary research to provide a seamless report with a 360 degree perspective. Data is compared against reputed organizations, trustworthy databases, and international surveys for producing impeccable reports backed with graphical and statistical information.

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iamaraja · 4 years ago

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Industrial Robotics Market Global Demand, share Growth and Industry Analysis 2021

Industrial Robotics Market:

Industrial robotics comprises mechanical systems that are useful for various activities of industrial applications. Market Research Future (MRFR) has published a research report about the global industrial robotics market that observes a huge surge for this market at 14% CAGR (Compound Annual Growth Rate) between 2016 and 2022.

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https://www.marketresearchfuture.com/sample_request/1933

The MEA region shows a limited market with slow and steady growth due to the lack of technological development, lack of education, lack of awareness, and political instability.

Key Players:

The key players in the global industrial robotics market include ABB Ltd. (Switzerland), Bosch GmbH (Germany), Denso Corporation (Japan), Fanuc Corporation (Japan), Kawasaki Heavy Industries Ltd. (Japan), Kuka AG (Germany), Mitsubishi Electric Corporation (Japan), Rockwell Automation Inc. (USA), Toshiba Corporation (Japan), and Yaskawa Electric Corporation (Japan).

Latest Industry News:

uArm has been famous for selling robot arms to consumers at affordable prices like US $ 200. Now they have introduced a more capable, 7-axis arm that costs US $ 2,000. 20 NOV 2018

Canadian startup Omnirobotic is set to begin on-site field testing for its industrial painting robot to locations in Canada and the USA, with larger rollouts set to begin in early 2019. 30 NOV 2018

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samarthj · 4 years ago

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Collaborative Robots Industry Size, Share, Supply, Demand, Segments and Forecast 2027

The global collaborative robots market size is projected to reach USD 11,684.7 million by 2027, exhibiting a CAGR of 42.0% during the forecast period. Introduction of robotics technology in agriculture will create several opportunities, states Fortune Business Insights™ in its report, titled “Collaborative Robots Market Size, Share & COVID-19 Impact Analysis, By Payload Capacity (Upto 5 Kg, 6-10 Kg, 11 Kg and Above), By Application (Welding, Material Handling, Quality Testing, Painting/Spraying, Assembling, Others), By Industry (Automotive, Electronics & Semi-Conductors, Food & Beverages, Retail, Metal & Machining, Rubber & Plastic, Others), and Regional Forecast, 2020-2027”.

Agricultural productivity and efficiency can get substantially boosted with the deployment of advanced technologies such as collaborative robots, which can aid farmers in routine farming tasks. To that end, private organizations and academic institutions are developing innovative robots in a bid to bolster agricultural operations worldwide. For example, a Florida-based company, Harvest CROO, developed a strawberry-harvesting robot called Berry 5, which helps in picking and packing ripe berries at a pace significantly faster than humans. Similarly, researchers at the University of Cambridge developed “Vegebot”, a robot embedded with Machine Learning (ML) algorithms that enable it to harvest fresh lettuce and also allow it to decipher between ripe and diseased lettuce.

Some of the leading companies that are operating in the global market are:

Universal Robots

Rethink Robotics GmbH

Denso Wave Incorporated

Fanuc Corporation

Bosch Rexroth AG

ABB

Yaskawa America, Inc.- Motoman Robotics Div.

AUBO Robotics

Stäubli International AG.

K2 Kinetics

Regional Insights

Factory Automation Trends to Drive Market Growth in Europe

With a market size of USD 352.3 million in 2019, Europe is set to lead the collaborative robots market share in the coming years on the back of growing demand for automation of industrial production processes. Companies in this region are pumping large amounts of money in research & development activities to engineer advanced robotics solutions using Industry 4.0 technologies such as Artificial Intelligence (AI) and Internet of Things (IoT). This factor will crucial for the cobots market growth in the region.

In Asia Pacific, the primary growth drivers will be rapid expansion of the manufacturing sector in India and China and proliferation of small and medium enterprises in the region. In North America, strong governmental support to advanced manufacturing technologies and active adoption of smart factories will be the central factors propelling the market.

Industry Developments:

April 2020: OnRobot, the Danish collaborative robots specialist, released “Eye”, its next-gen 2.5D vision system. The system can work on an application based on a single image taken for part recognition and calibration, with its 2.5D vision allowing unrivalled depth perception.

February 2020: Universal Robots (UR) and Mobile Industrial Robots (MiR) announced investment of USD 36 million to acquire a building site in Odense. Backed by their US-based parent company Terdyne, UR and MiR will build the world’s biggest hub for these robots at the site.

#Collaborative Robots market

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trendingreportz · 4 months ago

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5G IoT Market - Forecast(2024 - 2030)

5G IoT Market Overview

The 5G IoT Market size is forecast to reach $40.5 billion by 2026, growing at a CAGR 61% from 2022 to 2026. Increased proliferation of technologies like predictive maintenance, data analytics, digital twins and others in manufacturing sector has been eventually driving the need for 5G IoT. Rising demand for connected cars equipped with advanced in-vehicle infotainment and telematics system along with increasing penetration of advanced communication infrastructure in healthcare sector to optimize surgical robots, asset tracking, telemedicine, remote health monitoring are some of the prime factors driving the global 5G IoT Market. Furthermore, with growing adoption of precision farming, agricultural drones and greenhouse automation, global 5G IoT has gained a huge traction. Rise in adoption of IoT and artificial intelligence (AI) to develop fully connected smart cities offering high speed data transmission and data analytics as a part of improving real-time monitoring is analyzed to drive the market in future years.

5G IoT Market Report Coverage

The report: “5G IoT Industry Outlook – Forecast (2022-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the 5G IoT Industry.

By Solution: Hardware, Cellular Connectivity, Software, Services

By Organization Size: SME, Large Enterprises

By Radio Technology: 5G New Radio Standalone Architecture, 5G New Radio Non-Standalone Architecture

By Range: Short Range 5G IoT devices, Wide Range 5G IoT devices

By Application: Predictive Maintenance, Business Optimization, Asset Tracking and Management, Logistics & Supply Chain Management, Automation Control and Management, Others

By End Users: Manufacturing (Medical & Pharmaceutical, Chemical, Food & Beverage, FMCG, Metal, Machinery & Equipment, Semiconductor & Electronics, Others), Transportation & Logistics, Consumer, Oil & Gas, Automotive, Ports, Energy, Smart City, Smart Building, Retail, Agriculture, Healthcare, Education, Smart Events & Stadia, Mining, Utilities, Others

By Geography: North America (US, Canada, Mexico), Europe (Germany, U.K, France, Spain, Italy, Others), APAC (China, Japan, Malaysia, Thailand, South Korea, Philippines, Hong Kong, Others), South America (Brazil, Argentina and others), RoW (Middle East and Africa)

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Key Takeaways

5G New Radio Standalone architecture is analyzed to witness highest growth in the 5G IoT Market during 2022-2026 owing to increased performance, super-fast response times and faster access to higher data rates.

APAC 5G IoT Market held the largest share in 2021, attributing to factors like rising demand for more reliable connectivity and more bandwidth between devices among manufacturers as a part of optimizing smart industrial operations including process automation, remote monitoring, collaborative robots, predictive analytics, augmented reality, additive manufacturing.

Increased proliferation of technologies like predictive maintenance, data analytics, digital twins and others in manufacturing sector along with rise in demand for connected cars equipped with advanced in-vehicle infotainment and telematics system are analyzed to significantly drive the global 5G IoT Market during the forecast period 2022-2026.

5G IoT Market Segment Analysis- By Radio Technology

By radio technology, 5G IoT Market has been segmented into 5G New Radio Standalone Architecture, 5G New Radio Non-Standalone Architecture. 5G New Radio Standalone Architecture is analyzed to grow with the highest CAGR of 72% during the forecast period 2022-2026. As compared to 5G non-standalone architecture, standalone architecture acts as a more efficient solution, which includes increased performance, better flexibility, and reduced complexity, attributing to its market growth. Rising adoption of connected cars, immersive media, automated guided vehicles or cobots control need super-fast response times and faster access to higher data rates, which is enabled by SA architecture, and thus such beneficiary capabilities of 5G standalone technology are boosting its market growth. In May 2021, Swisscom announced its plans to strengthen its long-term strategic partnership commitment to Ericsson with a deal including 5G Standalone (SA) rollout. This 5G SA is analyzed to enable Swisscom to deliver superior network performance and new use cases comprising logistics, energy, factory, mining, and airport and so on. Such factors are further set to propel the market growth of 5G IoT Market in the long run.

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5G IoT Market Segment Analysis- By End Users

By end users, 5G IoT market has been segmented into Manufacturing, Transportation & Logistics, Consumer, Oil & Gas, Automotive, Ports, Energy, Smart City, Smart Building, Retail, Agriculture, Healthcare, Education, Smart Events & Stadia, Mining, Utilities and Others. Automotive sector is analyzed to witness the highest growth with a CAGR 70% during 2022-2026. The demand for future mobility and automated driving coupled with enhanced multimedia and infotainment features in the car is attributing to the market growth. Rising investment towards infotainment solutions with 5G connectivity for seamless and delay-free video and music streaming along with the integration of weather forecasts, or information on the current traffic situation is another prime factor contributing towards market growth. Expansion of digital infrastructure is set to lead to a huge increase in data in the automotive sector. According to a report published by Acta Verba, in advanced connected cars, the data flow is to reach 1 GB per vehicle per day, and it will further explode by 30 times to 1 TB of data per vehicle, per month, by 2025. This creates a need for significantly more bandwidth and faster data processing capabilities close to end users and mobile devices at the digital edge, and such factors are contributing towards expansion of 5G IoT Market. In December 2021, Volkswagen announced the deployment of Nokia’s industrial-grade private 5G wireless network at the company’s main plant in Wolfsburg, Germany. This development was done to help the facility achieve real-time connectivity for IoT sensors, connected vehicles and machinery, supporting intelligent networking of production robots and wireless assembly tools. Such factors are set to drive the market forward in the coming years.

5G IoT Market Segment Analysis- By Geography

By Geography, 5G IoT Market has been segmented into North America, Europe, APAC, South America and Others. APAC dominated the 5G IoT Market with a share of 34% in 2021, owing to burgeoning demand for next-generation high-speed mobile internet among manufacturers in this region for more reliable connectivity and more bandwidth between devices. Rising partnerships between telecom operators and IoT network providers in APAC region with an aim to enable enterprises running more automated, productive, sustainable and safer businesses with harmonized service level agreements, while providing real-time insights is resulting in speedy expansion of the market. Although 4G can accommodate Industry 4.0 capabilities, 5G is analysed to be the true accelerator for digitalization and the key to implementing features like IoT, advanced robotics and remote machine control, and augmented/virtual reality (AR/VR) to enterprises, with the manufacturing and energy sectors taking the lead in its adoption. According to GSMA, APAC 5G Industry Community is formed by 12 Contributing members and the existing IoT community and 5G emerging market community with over 500 members in more than 30 countries with an aim to build a platform for people who are passionate about 5G benefits to industries and enterprises, to connect with peers and share their knowledge, requirement, and build the ecosystem to support each other to drive businesses forward with the new technologies in APAC. Furthermore, growing investment towards smart city infrastructure, equipped with advanced security features for real-time surveillance, large scale monitoring by local authorities and backed up by analytics, Artificial Intelligence (AI), Internet-of -Things (IoT) and data-driven insights is one of the key factors driving its market growth within the region. In January 2022, Qualcomm announced collaboration with Cybertrust Japan Co., Ltd. and SB Technology Corp. through the Qualcomm IoT Services Suite offering to proliferate smart Cities and 5G IoT solutions in Japan. This collaboration was done to explore projects with Qualcomm Smart Cities Accelerator Program ecosystem members and develop smart solutions for use cases across smart cities, smart campuses, smart parking, smart energy-management, smart security, smart factories, and more in this country. Such developments are set to create significant growth opportunities for the market during 2022-2026.

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5G IoT Market Drivers

Increased proliferation of technologies like predictive maintenance, data analytics, digital twins and others in manufacturing sector are impacting the market growth

Increasing penetration of advanced technologies like predictive maintenance, data analytics, digital twins and others as a part of improving business insights for greater operational efficiency, better product quality, optimized supply chain performance and so on acts as major factor driving the market growth towards 5G IoT Market. The burgeoning demand for predictive maintenance in manufacturing sector leveraging critical communication infrastructure provides data analysis tools and techniques, which are used to monitor equipment condition for regular operational wear and tears, and such factors are analyzed to elevate the 5G IoT Market. Furthermore, rising investments towards connected asset monitoring enabling real-time asset data analysis assists in providing a powerful tool for productivity improvement, which in turn can also aid the market growth overtime. 5G’s enhanced bandwidth compared with other wireless communications technologies help robots and cobots to be monitored and updated in real-time as the environment changes. 5G’s low latency allows for actions to be monitored close to real-time, and such benefits of 5G are propelling the growth of the market. In November 2021, Huawei and China Mobile jointly deployed 5G enabled manufacturing solutions powered by mobile edge computing (MEC) at Haier’s smart factories. Haier is leveraging advanced technologies like artificial intelligence and machine vision at seven smart factories in China and has planned to expand in 20 factories by the end of 2022. Such new development is set to fuel the market growth in the long run.

Rise in demand for connected cars equipped with advanced in-vehicle infotainment and telematics system drives its market forward

Growing demand for connected cars equipped with advanced in-vehicle infotainment and telematics system act as a major driver boosting its market growth. The enhanced bandwidth of 5G New Radio enables richer infotainment and more immersive in-car entertainment experiences. Adoption of multi-access edge computing (MEC) platform puts processing power at the edge of the network, for faster gaming and higher quality video. Such beneficiary capabilities of 5G IoT is analyzed to positively impact the market growth overtime. Furthermore, with the substantial growth of C-V2X technology, 5G network for C-V2X infrastructure for use on on-board platforms is evolving. The rise in adoption of advanced driver assistance system (ADAS), equipped with on-board sensors, is also set to significantly trigger the growth of 5G IoT Market. Rising investments towards autonomous driving (AD) with an aim to harmonize and accelerate the introduction of intelligent transport and communication solutions is augmenting the growth of the market. According to the Economic Times, connected car shipments in the U.S. is expected to cross 80 million units during 2020 to 2025, growing at a CAGR of 10%. They moreover state that 5G cars will account for 27% of the market by 2025. In August 2021, Honda collaborated with Verizon to explore how Verizon 5G Ultra Wideband and 5G Mobile Edge Computing (MEC) can ensure fast, reliable communication between road infrastructure, vehicles and pedestrians. Verizon’s 5G and MEC platforms bring the power of the cloud closer to the vehicle, lowering latency, offering massive bandwidth, and improving communications and connectivity between drivers, other cars, traffic lights, pedestrians and emergency vehicles to improve threat detection and avoid accidents. Such developments are analyzed to propel the 5G IoT Market growth in the coming years.

5G IoT Market Challenges

High infrastructure cost related with 5G deployment and coverage hinders its market growth

5G offers a significant increase in speed and bandwidth, but its more limited range requires further infrastructure. 5G antennas and base stations are smaller in the 5G era, but more of them would have to be installed on buildings or homes to compensate for their shorter range. Cities need to install extra repeaters to spread out the waves and extend range, while also maintaining consistent speeds in more densely populated areas, and thus, deployment of additional infrastructure requires high cost, which in turn create a negative impact on the growth of the market. A small tower and 5G cell site costs $30,000–$50,000 and due to such high costs small and medium enterprises are not opting for 5G. Investments needed in key components for a 5G network coverage includes spectrum, sites, power distribution and resilient strength fibre. Such factors have been creating an adverse impact on its market growth.

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5G IoT Market Landscape

Product innovations, acquisitions, Partnerships and R&D activities are key strategies adopted by players in the 5G IoT Market. 5G IoT top 10 companies include:

Qualcomm

Ericsson

Nokia Corporation

Samsung Electronics Co. Ltd.

AT&T Inc.

Verizon Communications Inc.

Vodafone Group Plc

Telefonica S.A.

Deutsche Telekom

SK Telecom

Recent Developments

In November 2021, Samsung announced about the launch of its latest automotive chip solutions, the Exynos Auto T5123 for 5G connectivity to enhance smarter and more connected automotive technologies for enriched in-vehicle experiences including entertainment, safety and comfort and other critical features on the road. This product is specifically designed to bring fast and seamless 5G connectivity in both standalone (SA) and non-standalone (NSA) mode to the next generation of connected cars.

In October 2021, Ericsson announced about the launch of end-to-end time critical communication for real time 5G experiences such as cloud gaming, AR/VR, and unlock new ones in remote control, mobility automation, and industrial control. With the launch of its new Critical IoT product, Ericsson is enhancing its 5G capabilities ensuring consistent low latency and high reliability demanded by time-critical applications and services for consumers, enterprises, and public sector.

In August 2021, Qualcomm announced about the launch of Qualcomm Flight RB5 5G Platform to offer both 5G and AI-capabilities for delivering a solution which will drive the next generation of high-performance, low-power, 5G drones. With this launch, Qualcomm combines heterogeneous, low-power computing and camera systems with AI, and long-range connectivity such as 5G, and Wi-Fi 6 to bring together the unparalleled power of 15 TOPS with advanced imaging capabilities and drone-to-drone communication.

#5G IoT Market #5G IoT Market Share #5G IoT Market Size #5G IoT Market Forecast #5G IoT Market Report #5G IoT Market Growth

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johnstones15 · 4 years ago

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Top Robotics Solution Companies

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maritzaerwin · 5 years ago

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7 Trends That Will Shape the eLearning Industry in 2020

The field of education has undergone some seismic changes over the past few decades as it has been closely following developments in the business landscape.

It would be impossible to leave technology out of this equation as it’s one of the major disruptors not only in business and education but also in our everyday lives.

Online education is on the rise as reflects the disruptive potential of digitization and technology in shaping the modern workplace, which is why it’s essential to keep pace with its latest trends.

To put things into perspective, it’s worth mentioning that 68% of online students are experienced professionals. In other words, this method of education allows people who have already established a certain career path to explore new possibilities and advance.

In order to better leverage online education and eLearning and its advantages, it’s essential to monitor current trends and make the most of them.

1) Tech Giants Have Entered the Education Dollar Race

We’re already witnessing a number of jobs being obliterated by automation technologies, smart algorithms, and artificial intelligence. For example, AI-powered chatbots are expected to replace humans in customer support centers, although not entirely, while their manufacturing counterparts robotic process automation (RPA) machines – cobots, already dominate the manufacturing industry.

Even though both chatbots and cobots reach their full potential when they are working in tandem with their human co-workers, a lot of people will lose jobs because of this technological evolution.

On the other hand, tech companies are faced with talent scarcity and have an increasing demand for skilled professionals capable of filling new positions. As traditional education clearly has a problem staying on top of this need and provide work-ready graduates who would be onboarded quickly and easily, tech companies have decided to create their own certification programs and teaming up with traditional colleges to offer the training needed for the latest technologies.

Google is one of the trailblazers in this approach, as it designed a string of different online and in-person training programs and courses for educating and training various tech professionals from developers to data analysts. Its online IT support certificate program managed to attract 75,000 applicants.

Similarly, Amazon joined this race and announced that it would spend $700 million over a period of six years in an attempt to keep its 100,000 employees by expanding its own post-secondary training and credential programs. But, this isn’t an act of generosity but a way to overcome the challenges of a highly competitive job market and have a skilled workforce available for their future demands.

2) Adaptive Learning Will Be Even More Relevant

We live in an age of personalization.

Marketing, business, customer service, you name it. Different industries strive to offer personalized experiences to their customers, and the situation is similar in education.

Traditional learning techniques that relied on the exact same textbooks and learning materials were inefficient, as they failed to address peculiarities, needs, performance, and learning methods of individual students. For example, some people are visual types, and they’re more likely to memorize and learn the information presented through images and videos.

Also, it might take someone 30 minutes to understand and memorize a certain scientific concept, while another person might struggle with the same concept for a couple of hours. That’s why the key to a successful learning process lies in taking into consideration everyone’s speed, accuracy, and quality of learning.

Adaptive learning is an algorithm-driven approach that provides personalized learning through efficient, effective, customized learning modules tailored to every individual student.

In other words, this technique delivers personalized learning experiences and meets learners’ needs.

Given that online learning usually leverages digital platforms and tools, it allows for implementing smart algorithms that can be programmed to use the right format, pace, and materials with regards to individual students’ performance.

3) The Rise of Video-Based Learning

The human brain is capable of processing and identifying entire images within just 13 milliseconds.

This fact proves that people learn much more efficiently with the help of video-based content. The nature of this format is more engaging and easier to consume and digest.

Videos easily capture learners’ attention and they’re effortlessly delivered through a learning management system, which makes them perfect for online learning.

Insisting that learning materials should come in a format that’s easy on the eyes and mind completely makes sense if we bear in mind a couple of interesting stats.

According to a research study, the human brain is exposed to 34GB of information on a daily basis, so it basically has to process a deluge of data in the form of emails, books, newspapers, TV shows, music, etc.

For the sake of accuracy, it’s worth mentioning that this study was conducted a few years ago, meaning that this information overload most probably increased exponentially.

No wonder that the average attention span dropped to a mere 12 seconds.

It’s not hard to conclude why video isn’t an optional but mandatory tool in education these days. Besides, let’s not forget that mobile devices make it possible for people to watch videos while they’re commuting or waiting in lines. This, in turn, means that they can use this time more productively and take advantage of on-the-go training.

Finally, video is a great format for bite-size learning, an approach that prevents burying learners under an avalanche of information and keeps mental burnout at bay.

4) Personal Development and Soft Skills Will Continue to Dominate

Traditional education has always been more focused on acquiring academic, hard skills.

However, with the rise of corporate learning, the idea of leadership, and collaboration, soft skills have begun to gain momentum.

When that seemingly subtle difference between a leader and a manager was pinpointed, it became clear that a new approach to learning should emphasize polishing interpersonal skills, learning how to communicate effectively, and overcome potential conflicts in the workplace.

It’s soft skills that most successful companies are after, to the extent that 67% of managers would rather pick a candidate with strong soft skills even if their hard skills leave much to be desired.

An employee well-versed in this regard is expected to navigate the changing workplace and be more prepared for their professional role. Online education tackles this issue properly as there are a number of courses and training programs that revolve around gaining leadership, collaboration, problem-solving, teamwork, motivation, or time-management skills.

Moreover, the expansion of digital technologies and new work requirements have brought about a shift towards merging these two skill-sets and integrating a component of technology into non-tech positions and vice versa.

These so-called hybrid skills can’t be defined out of a context, but they refer to a combination of technical and non-technical skills.

In other words, back in the day, an administrative support employee’s role revolved around greeting visitors, picking up the phone, and organizing files. However, nowadays such a professional is expected to be pretty eclectic as they need to understand how to properly use social media, update websites, create presentation materials, and be proficient in using database software.

Similarly, a good application developer isn’t someone who can successfully write code. Employers are looking for those capable of communicating their ideas clearly and effectively, writing copy, solving problems as they emerge, understanding users’ challenges and implementing their feedback, as well as adapting to new and upgraded platforms.

5) Learning From Top Experts Has Become Possible

World-class experts do not limit themselves to lecturing in the most prestigious universities these days.

Advanced technology has made them more accessible to the global audience of learners, which is one of the most important legacies of online learning.

Some 20 years later, students who wanted to learn from distinguished experts had to get into prestigious universities, which wasn’t an easy task.

Luckily, nowadays, apart from holding teaching positions at Harvard, Yale, or Cambridge, renowned pundits can expand their reach and influence all around the world.

Apart from transcending geographical boundaries, the latest tech also enables practical online teaching and learning.

5G technology is about to disrupt the way we do things. With its near-zero latency, this network will, for example, make remote surgeries possible. One such exceptional effort already happened when Chinese doctors inserted a stimulation device into the brain of a Parkinson’s patient who at the time of this surgery was situated almost 2,000 miles away.

This opens the doors not only to the improvement of people’s lives for better but also to unlocking the potential of online learning. Learners will be able to get the best possible practice even if they’re not physically present in the same classroom, or operating theater, as their teachers and mentors.

As a result, online education allows for the democratization of knowledge.

It can’t be denied that traditional education is in a way elitist – the best faculties and courses are gated and available only to those who are either affluent and capable of covering sky-high tuitions or exceptional talents.

On the other hand, online education breaks down such barriers and provides an opportunity for many people to benefit from world-class teachers at an affordable price, at their own pace, and regardless of where they live.

6) Online Education Drives Lifelong Learning

There’s no excuse for not practicing lifelong learning in this day and age when jobs emerge and disappear even as we speak.

Getting a college degree doesn’t mean that you’re done with being a student. Quite the opposite, as your career progresses, it’s essential to keep pace with the latest trends and developments in your area of expertise.

And that’s where online education comes in handy.

Namely, it can be difficult to squeeze additional lessons in your busy schedule while working full time, so the flexibility of distance education offers you to do both without having to quit or give up on your lifelong learning idea.

A wide variety of courses and programs allow people with a degree to expand their knowledge and keep updating their skills through years and ensure that they never lose a competitive edge; at the same time, those who haven’t earned a degree in a particular field can do so, without having to go back to school physically.

Employees who think about a career change don’t have to jeopardize their security by leaving their current job until they make the full transition and obtain all the necessary skills for such a challenging professional leap.

Source – DepositPhotos.com

7) The Power of Gamification

Gamification isn’t a new concept as it has been around for quite some time.

A majority of today’s labor force consists of millennials and Gen Zers combined. Both these demographic cohorts are prolific when it comes to technology, and the latter is even dubbed “the first digital natives” as they were born into a world where the internet already existed.

This is important to bear in mind because these young people are very familiar with gamification as many of them grew up playing video games and using smartphones. That’s why it’s logical that gamification should be incorporated into corporate education.

However, this technique doesn’t only add fun to the process of learning – its true power comes from the fact that gamification provides people with a safe learning environment in which they aren’t afraid to take risks and are motivated through positive reinforcement.

Earning badges, collaborating with their peers, and competing makes learners feel a sense of accomplishment.

New technologies such as virtual reality (VR) and augmented reality (AR) take gamification to a whole new level as with them learners have an opportunity to experience real-life situations, interact with each other, and practice safely. With the help of VR, for example, medical students can perform virtual operations and procedures in an immersive but consequence-free environment.

Gamification boosts engagement and allows learners to acquire new skills effectively, and it’s naturally integrated into online education.

These seven trends have a tremendous impact on online education at the moment, and will definitely affect the academic and professional careers of learners. Both educators and students who want to be ahead of the curve should follow the latest developments and embrace online education.

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businessmarketanalysis · 5 years ago

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Ai Assisted Robots Market to Witness Comprehensive Growth by 2029

AI Assisted Robots: Introduction

Artificial Intelligence (AI) assisted robotics industry can be classified into the interactive and industrial segment in which all the manufacturing sectors fall under the industrial segment while government sector, commercial sector, and household sector come under the interactive segment. AI Assisted Robots are available in all shapes and sizes, from the micro level to huge air and ground systems, and they are usually employed for tasks that hectic, repetitive, dangerous, or in hard-to-reach areas. AI assisted robots or artificially intelligent robots are intended for manipulating the physical properties of the prospective object by picking, modifying, or moving the object thereby eliminating the manpower form exhaustive and repetitive tasks. Thus, the AI assisted robots are pre-programmed robots that include machine learning and programme intelligence as well. Industry giants are undertaking various projects for the research development of intelligent application centered on machine learning along with AI based technologies. It’s an ongoing trend in the AI assisted robots market which is anticipated to intensify over the forecast period.

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AI Assisted Robots: Market Dynamics

Nowadays, AI Assisted Robots are being hugely employed in various end use industries, such as Automotive, Electrical & Electronics, Food & Beverage, Manufacturing, Agriculture, Construction, Military, Healthcare, Consumer, Logistics & Transportation, and Packaging. Amongst these end use industries, the automotive industry is estimated to be the emerging sector in the AI assisted robots market, whereas the healthcare sector is predicted to be the leading industry in the global AI Assisted Robots market.

In the recent past, one of the primary AI Assisted Robots that have been gaining traction in the global AI assisted robots market is artificially intelligent cobot (collaborative robots). These AI assisted robots to support manpower by automating physically demanding and repetitive tasks. AI assisted collaborative robots can be employed in various applications including production sites.

Also, the increasing cost of manpower in developed countries is expected to need AI assisted robots in order to reduce the overall cost. Though the AI Assisted Robots are expensive, its return on investment is high and of short duration. However, the adoption of AI Assisted Robots might increase the unemployment in developing and under-developed regions hence these regions are reluctant to adopt AI assisted robots which could hinder the growth of the global AI assisted robots market.

AI Assisted Robots: Market Segmentation

On the basis of end use industries, the global AI Assisted Robots market can be segmented into the following,

Automotive

Electrical & Electronics

Food & Beverage

Manufacturing

Agriculture

Construction

Military

Healthcare

Consumer

Logistics & Transportation

Packaging

AI Assisted Robots: Regional Market Outlook

Government of various countries, particularly European countries, are inclined towards people safety and have implemented stringent regulations pertaining to the same, which in turn, is expected to drive the demand for AI assisted robots in manufacturing plants. Hence, Europe’s AI assisted robots market is stipulated to have a positive outlook during the forecast period. In terms of growth rate, Asia Pacific is predicted to be the foremost region, especially China, India, Australia, and Ireland, and in coming few years the region is forecasted to hold a significant share in the AI assisted robots market. In the Americas, AI assisted robots, such as vacuum cleaners and floor cleaners, are estimated to have had an overwhelming share in the region’s AI assisted robots market. The Middle East & Africa and Latin America are foreseen as in the introductory phase of the global AI assisted robots market.

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AI Assisted Robots: Market Key Players

Some of the major participants operating in the global AI Assisted Robots market include:

ABB

Anki

Robotics Hanson, Inc.

Blue Frog Robotics

CloudMinds

Mayfield Robotics

Nvidia Corporation

Promobot LLC

UBTech Robotics Limited

Brain Corporation

Vicarious Systems

Argo AI, LLC

#Ai Assisted Robots Market Market Share Market Analysis Market demand Market Challenges

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mandarworld · 5 years ago

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Industrial Robotics Market Opportunities, Challenges and Growth Factors 2023

New Study On “2018-2022 Industrial Robotics Market Global Key Player, Demand, Growth, Opportunities and Analysis Forecast” This report focuses on the global Industrial Robotics Market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Industrial Robotics Market development in United States, Europe and China.

Industrial Robotics Market Key Company Analyzed In Report Are:

Get Sample of Report @ https://www.marketresearchfuture.com/sample_request/1933

Market Overview:

Segmentation:

Latest Industry News

uArm has been famous for selling robot arms to consumers at affordable prices like US $ 200. Now they have introduced a more capable, 7-axis arm that costs US $ 2,000. 20 NOV 2018

Canadian startup Omnirobotic is set to begin on-site field testing for its industrial painting robot to locations in Canada and the USA, with larger rollouts set to begin in early 2019. 30 NOV 2018

Access Full Report @ https://www.marketresearchfuture.com/reports/industrial-robotics-market-1933

Regional analysis

The MEA region shows a limited market with slow and steady growth due to the lack of technological development, lack of education, lack of awareness, and political instability.

About Market Research Future:

Contact:

Market Research Future

+1 646 845 9312

Email: [email protected]

#industrial robotics market

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shashiemrf · 3 years ago

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Ongoing Trend of Industrialization to Bolster Growth of the Industrial Robotics Market 2022

Industrial Robotics Market:

Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/1933

The MEA region shows a limited market with slow and steady growth due to the lack of technological development, lack of education, lack of awareness, and political instability. Key Players: The key players in the global industrial robotics market include ABB Ltd. (Switzerland), Bosch GmbH (Germany), Denso Corporation (Japan), Fanuc Corporation (Japan), Kawasaki Heavy Industries Ltd. (Japan), Kuka AG (Germany), Mitsubishi Electric Corporation (Japan), Rockwell Automation Inc. (USA), Toshiba Corporation (Japan), and Yaskawa Electric Corporation (Japan). Latest Industry News:

uArm has been famous for selling robot arms to consumers at affordable prices like US $ 200. Now they have introduced a more capable, 7-axis arm that costs US $ 2,000. 20 NOV 2018

Canadian startup Omnirobotic is set to begin on-site field testing for its industrial painting robot to locations in Canada and the USA, with larger rollouts set to begin in early 2019. 30 NOV 2018

Table of Content:

Introduction

2.1 Definition

2.2 Scope Of The Study

2.2.1 Research Objective

2.2.2 Assumptions

2.2.3 Limitations

2.3 Market Structure

Research Methodology

3.1 Research Process

3.2 Primary Research

3.3 Secondary Research

3.4 Market Size Estimation

3.5 Forecast Model

Market Dynamics

4.1 Drivers

4.2 Restraints

4.3 Opportunities

4.4 Challenges

Market Factor Analysis

5.1 Value Chain Analysis/Supply Chain Analysis

5.2 Porters Five Forces

5.2.1. Bargaining Power Of Suppliers

5.2.2. Bargaining Power Of Customer

5.2.3. Intensity Of Competitor’s

5.2.4. Threat Of New Entrants

5.2.5 Threat Of Substitutes

Global Industrial Robotics: By Types

6.1. Introduction

6.2. Market Sub-Segments

6.2.1. Cartesian

6.2.2. SCARA

6.2.3. Articulated

6.2.4. Delta

6.2.5. 6-Axis

6.2.6. Redundant

6.2.7. Dual-Arm

6.2.8. Parallel

6.2.9. Others

Global Industrial Robotics, By Application

7.1. Introduction

7.2. Market Sub-Segments

7.2.1. Material Handling

7.2.2. Welding

7.2.3. Assembling

7.2.4. Palletizing

7.2.5. Painting

7.2.6. Others

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About Us

Media Contact:

Market Research Future

Office No. 528, Amanora Chambers

Magarpatta Road, Hadapsar,

Pune - 411028

Maharashtra, India

+1 646 845 9312

Email: [email protected]

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iamaraja · 4 years ago

Text

Industrial Robotics Market Trends, Strategy and Forecast to 2027

Industrial Robotics Market:

Get Free Sample Report:

https://www.marketresearchfuture.com/sample_request/1933

The MEA region shows a limited market with slow and steady growth due to the lack of technological development, lack of education, lack of awareness, and political instability.

Key Players:

Latest Industry News:

uArm has been famous for selling robot arms to consumers at affordable prices like US $ 200. Now they have introduced a more capable, 7-axis arm that costs US $ 2,000. 20 NOV 2018

Canadian startup Omnirobotic is set to begin on-site field testing for its industrial painting robot to locations in Canada and the USA, with larger rollouts set to begin in early 2019. 30 NOV 2018

FOR MORE DETAILS:

https://www.marketresearchfuture.com/reports/industrial-robotics-market-1933

About Us:

Media Contact:

Market Research Future

Office No. 528, Amanora Chambers

Magarpatta Road, Hadapsar,

Pune - 411028

Maharashtra, India

+1 628 258 0071(US)

Email: [email protected]

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