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predictions

ABB prediction: ‘Eyes, hands, brains and mobility will define robotics beyond 2025’

March 6, 2025 by David Edwards

Building on 50 years of robotics experience, 2025 marks the beginning of a new era of AI application in industrial robotics, according to ABB.

The new age of generative AI-powered automation makes robots “more intelligent, mobile, accessible and versatile”, disrupting new and emerging sectors for robotics, says the industrial automation giant.

ABB Robotics, one of the world’s largest manufacturers of industrial robots, has also launched a brand film which unveils “new levels of versatilty for robots to do more tasks, in more places”. [Read more…] about ABB prediction: ‘Eyes, hands, brains and mobility will define robotics beyond 2025’

Filed Under: Features, Industry Tagged With: abb, ai, eyes, generative, hands, mobility, predictions, robotics, robots

Predictions on 3D printing: What does 2025 hold for additive manufacturing?

January 15, 2025 by David Edwards

Despite the tremendous success of 3D printing – also known as additive manufacturing (AM) – across many industrial sectors, the technology is still, in some ways, in its early days.

Here, a number of senior executives at 3D Systems – whose founder Chuck Hull is credited with inventing 3D printing – share their thoughts on what 2025 holds for additive manufacturing. [Read more…] about Predictions on 3D printing: What does 2025 hold for additive manufacturing?

Filed Under: Features, Manufacturing Tagged With: 3d, 3ds, additive, manufacturing, predictions, printing

Predictions: Innovations shaping warehouse automation in 2025

December 13, 2024 by Mark Allinson

By Theresa Macdonald, business development manager, Element Logic

As we approach 2025, it’s clear that the warehouse sector is not just evolving; it’s undergoing a transformative shift. Rapid advancements in technology, paired with growing customer expectations and mounting environmental concerns, are reshaping how warehouses operate.

One thing is certain – warehouse automation is becoming an essential component for businesses to remain competitive in an increasingly demanding marketplace.

In this article, I’ll take a detailed look at the top trends that I predict will define warehouse operations in 2025. From sustainability initiatives and Artificial Intelligence (AI) to smarter, collaborative robotics and the importance of real-time data, the future of warehousing will be characterised by seamless collaboration between technology and human ingenuity.

AI’s growing role in the smart warehouse

AI has been on the horizon for several years, but its growth has accelerated dramatically, and 2025 will be a defining year for AI-driven warehouses. AI is not limited to automating tasks – it is reshaping entire business models by refining decision-making, optimising workflows, and anticipating future problems.

Today’s most advanced Warehouse Management Systems (WMS) use AI to synchronise everything from stock control to equipment maintenance. For example, machine learning models can forecast customer demand based on historical data, economic indicators, and even seasonal patterns, enabling warehouse operators to plan inventory more efficiently.

Additionally, AI-based software allows for predictive maintenance, which can foresee when machinery may fail or need repairs. This has the power to save businesses from costly breakdowns and unplanned downtime.

Furthermore, through Natural Language Processing (NLP) and advanced vision systems, AI tools can now manage complex picking operations.

Traditionally, systems struggled to accurately select and handle delicate or irregularly shaped items-but with the AI systems continuously evolving, the accuracy gets better with every iteration.

In 2025, I anticipate that AI-driven smart warehouses will operate faster, more accurately, and with more flexibility, helping businesses adapt to changing customer demands as soon as they arise.

The real benefit here is that AI isn’t just a back-office technology-it’s becoming the backbone that links and optimises every process in the warehouse. With its ability to adapt and “learn” over time, AI will reduce reliance on human judgement and manual interventions, offering long-term strategic advantages for supply chain management.

The green push: Sustainability as a non-negotiable

Sustainability is more than just a buzzword in industry circles-today, it’s a strategic objective and a legal necessity. According to the International Energy Agency, buildings, including warehouses, are responsible for over 40 per cent of total global CO2 emissions when factoring in energy used for heating, cooling, and lighting.

Given this impact, the need to reduce carbon footprints is without question, and warehouse operators are facing increasing pressure from both regulations and customer demands to take significant action.

In 2025, we’ll see warehouse operators push even harder towards sustainable operations. This includes implementing energy-saving solutions for lighting and cooling, transitioning to green energy sources like solar panels, and adopting advanced building management systems to optimise energy use. Warehouse automation systems are uniquely positioned to contribute to these sustainability efforts.

One example is the AutoStore system, an automated storage and retrieval solution that is inherently energy-efficient. According to research, ten AutoStore robots draw about the same energy as a standard vacuum cleaner-roughly 100 watts per hour.

By automating picking and retrieval in an eco-friendly manner, AutoStore minimises the need for energy-intensive lighting and HVAC systems in areas that don’t require human activity. Going even further, businesses are looking into renewable materials and recyclable packaging solutions.

Overall, meeting sustainability goals won’t just help the environment – it also lowers operational costs and ensures compliance with increasingly stringent regulations.

Customer expectations are redefining speed, accuracy, and flexibility

No discussion about 2025 trends can ignore the impact of rising customer expectations. Consumers today expect faster deliveries, flawless order accuracy, and no-hassle returns, driven largely by the e-commerce boom and its heightened focus on convenience.

The challenge for warehouse operators is meeting these expectations efficiently without raising operational costs.

Warehouses will need to be more agile, scalable, and precise than ever before as demand cycles become increasingly volatile, especially during peak shopping periods such as Black Friday or Christmas.

One key to managing these volatile demand cycles is the ability to scale automation systems up or down based on demand-something that solutions like Automated Storage and Retrieval Systems (ASRS), such as AutoStore, excel in.

The modular nature of systems like this allows warehouses to quickly scale up labour and resources to meet surges in demand and wind down once a seasonal peak is over – without compromising operational efficiencies.

Additionally, automated returns processing – another mounting pressure point for logistics managers – is helping businesses streamline the increasingly common process of reverse logistics.

Automation removes human error, ensuring faster processing times and mitigating issues such as warehouse backlog, improving overall customer satisfaction.

As customer demands grow, warehouses must be agile enough to shift with them, which will be a key driver of operational choices in 2025.

Robotics and human collaboration are the future

The fear of robots displacing human workers has been overblown in many instances. In fact, as we move towards 2025, the collaboration between warehouse robots and human employees is proving far more powerful and sustainable than merely relying on one or the other.

Intelligent robots are taking over repetitive, manual tasks-such as lifting, sorting, and transportation. But these machines aren’t replacing workers; they’re augmenting human capabilities.

By taking physically demanding jobs off human shoulders, robots create safer working environments, reduce injury rates, and allow human staff to focus on tasks that require creativity, decision-making, and complex problem-solving.

For example, robotic piece-picking arms are increasingly powered by machine learning, and by continuously adjusting their approach, such systems become more effective over time.

These arms can identify, sort, and handle a wide variety of items, meaning they often complement strategies already handled by automated storage systems like AutoStore. The result is an end-to-end solution: products are stored, retrieved, and packed faster and more precisely than ever before.

Interestingly, this kind of integrated robotics hasn’t led to labour cuts. Rather, employees are shifting into more valuable roles, such as overseeing the systems, troubleshooting issues, and interacting more closely with other parts of the supply chain.

As we step into 2025, this collaboration between smart robots and warehouse operatives will continue to grow-leading to more efficient operations and a happier, safer workforce.

The power of data-driven warehousing

In today’s digital age, data is emerging as one of the most powerful tools warehouse managers have at their disposal. In 2025, data will do much more than simply track inventory and monitor stock.

Far-reaching datasets, combined with AI and analytics tools, will allow warehousing professionals to make educated, data-driven decisions in real-time.

Predictive analytics will play a more significant role as warehouses seek to anticipate everything from maintenance needs to stock shortages and track customer behaviour patterns. This kind of foresight is invaluable in planning, enabling swift responses that minimise costly disruptions.

Analysing real-time data on inventory flow can also reveal subtle patterns that businesses can leverage. For instance, many companies already find they can predict the timing of demand surges based on specific customer behaviour ahead of particular holidays or events.

By accurately predicting demands, warehouses can fine-tune capacity planning, improving how space is used, optimising transit routes, and better managing distribution channels to avoid bottlenecks.

Furthermore, predictive maintenance tools can ensure that robots and automated systems are serviced before they break down-thus avoiding costly interruptions. By 2025, such insights won’t only be seen as advantages but as fundamental operational necessities.

Looking ahead: Future-proofing warehouse operations

As we move towards 2025, warehouse automation solutions are less about introducing flashy new technology for technology’s sake and more about creating agile, efficient operations that drive value across entire supply chains.

Whether it’s leveraging the power of AI to refine decision-making, utilising advanced robotics to achieve operational efficiency, or adopting sustainable practices that minimise environmental impact-warehouses of the future will be deeply interconnected, advanced ecosystems that seamlessly meet customer demands.

These trends will not only help businesses remain competitive but also future-proof their operations against the ever-growing complexity of the supply chain.

The future of logistics is here-and smart businesses will use these innovations to build resilience, drive growth, and ensure long-term success.

About the author: Theresa Macdonald, a sales professional with more than 20 years of career experience, is the business development manager at Element Logic.

Filed Under: Features, Warehouse robots Tagged With: element, logic, predictions, sector, shift, transformative, warehouse

Predictions: Ultimation Industries forecasts five material handling trends for 2025

December 13, 2024 by Mark Allinson

Artificial intelligence and other smart technologies are expected to help boost operational efficiency

Smart technologies such as robotics, automation and artificial intelligence (AI) in material handling operations are expected to be among the top trends in 2025 for manufacturers, distributors and warehouses in their quest to improve operational efficiency, according to Ultimation Industries.

Ultimation is an MCE company that solves productivity challenges with special purpose machinery and industrial automation equipment systems as well as direct-to-consumer solutions for a broad range of end-markets, including energy, automotive, logistics and vertical farming.

Kali Wahrman, general manager, e-commerce for Ultimation, says: “Companies of all sizes in the manufacturing, warehouse and distribution sectors are realizing that they need new technologies and sustainable options to remain competitive in an increasingly demanding marketplace.” [Read more…] about Predictions: Ultimation Industries forecasts five material handling trends for 2025

Filed Under: Features, Material handling Tagged With: 2025, handling, industries, material, predictions, trends, ultimation

Nvidia’s predictions for 2024: What’s Next in AI?

January 7, 2024 by Mark Allinson


Richard Kerris

Vice President of Developer Relations, Nvidia Head of Media and Entertainment

The democratization of development: Virtually anyone, anywhere will soon be set to become a developer. Traditionally, one had to know and be proficient at using a specific development language to develop applications or services.

As computing infrastructure becomes increasingly trained on the languages of software development, anyone will be able to prompt the machine to create applications, services, device support and more.

While companies will continue to hire developers to build and train AI models and other professional applications, expect to see significantly broader opportunities for anyone with the right skill set to build custom products and services.

They’ll be helped by text inputs or voice prompts, making interactions with computers as simple as verbally instructing it.

“Now and Then” in film and song: Just as the “new” AI-augmented song by the Fab Four spurred a fresh round of Beatlemania, the dawn of the first feature-length generative AI movie will send shockwaves through the film industry.

Take a filmmaker who shoots using a 35mm film camera. The same content can soon be transformed into a 70mm production using generative AI, reducing the significant costs involved in film production in the IMAX format and allowing a broader set of directors to participate.

Creators will transform beautiful images and videos into new types and forms of entertainment by prompting a computer with text, images or videos. Some professionals worry their craft will be replaced, but those issues will fade as generative AI gets better at being trained on specific tasks.

This, in turn, will free up hands to tackle other tasks and provide new tools with artist-friendly interfaces.


Rev Lebaredian

Vice President of Nvidia Omniverse and Simulation Technology

Industrial digitalization meets generative AI: The fusion of industrial digitalization with generative AI is poised to catalyze industrial transformation.

Generative AI will make it easier to turn aspects of the physical world – such as geometry, light, physics, matter and behavior – into digital data.

Democratizing the digitalization of the physical world will accelerate industrial enterprises, enabling them to design, optimize, manufacture and sell products more efficiently.

It also enables them to more easily create virtual training grounds and synthetic data to train a new generation of AIs that will interact and operate within the physical world, such as autonomous robots and self-driving cars.

3D interoperability takes off: From the drawing board to the factory floor, data for the first time will be interoperable.

The world’s most influential software and practitioner companies from the manufacturing, product design, retail, e-commerce and robotics industries are committing to the newly established Alliance for OpenUSD.

OpenUSD, the universal language between 3D tools and data, will break down data siloes, enabling industrial enterprises to collaborate across data lakes, tool systems and specialized teams easier and faster than ever to accelerate the digitalization of previously cumbersome, manual industrial processes.


Bob Pette

Nvidia Vice President of Enterprise Platforms

Building anew with generative AI: Generative AI will allow organizations to design cars by simply speaking to a large language model or create cities from scratch using new techniques and design principles.

The architecture, engineering, construction and operations (AECO) industry is building the future using generative AI as its guidepost.

Hundreds of generative AI startups and customers in AECO and manufacturing will focus on creating solutions for virtually any use case, including design optimization, market intelligence, construction management and physics prediction.

AI will accelerate a manufacturing evolution that promises increased efficiency, reduced waste and entirely new approaches to production and sustainability.

Developers and enterprises are focusing in particular on point cloud data analysis, which uses lidar to generate representations of built and natural environments with precise details. This could lead to high-fidelity insights and analysis through generative AI-accelerated workflows.

Generative AI also offers enterprises a significant opportunity to gain new insights from their existing data.

By customizing pre-trained foundation models with techniques like fine-tuning and retrieval augmented generation (RAG), organizations can harness the transformative power of generative AI for domain-specific tasks to improve decision-making and develop a competitive edge.

To capture this opportunity and accelerate adoption of generative AI, enterprises will need a trusted pathway to design and implement scalable, efficient, and reliable infrastructure.


Deepu Talla

Nvidia Vice President of Embedded and Edge Computing

The rise of robotics programmers: LLMs will lead to rapid improvements for robotics engineers. Generative AI will develop code for robots and create new simulations to test and train them.

LLMs will accelerate simulation development by automatically building 3D scenes, constructing environments and generating assets from inputs.

The resulting simulation assets will be critical for workflows like synthetic data generation, robot skills training and robotics application testing.

In addition to helping robotics engineers, transformer AI models, the engines behind LLMs, will make robots themselves smarter so that they better understand complex environments and more effectively execute a breadth of skills within them.

For the robotics industry to scale, robots have to become more generalizable – that is, they need to acquire skills more quickly or bring them to new environments.

Generative AI models – trained and tested in simulation — will be a key enabler in the drive toward more powerful, flexible and easier-to-use robots.

Filed Under: Artificial Intelligence, Features Tagged With: ai, nvidia, predictions

2023 Predictions & Forecasts: The future is bright machines

January 22, 2023 by Mark Allinson

Two senior executives from Bright Machines, a manufacturing automation company, give Robotics and Automation News their thoughts and forecasts for the year ahead.

The predictions offer insight on manufacturing trends, supply chain evolution, the future of automation, and more. [Read more…] about 2023 Predictions & Forecasts: The future is bright machines

Filed Under: Features, Manufacturing Tagged With: automation, better, bright, chain, distributed, factories, flexibility, future, innovation, intelligent, labor, machines, mitigate, offer, predictions, production, products, reshoring, speed, supply, technology

2023 Predictions & Forecasts: Berkshire Grey expects RaaS to get bigger

January 22, 2023 by Mark Allinson

Insights from Chris Geyer, VP at Berkshire Grey

Since Berkshire Grey designs and deploys AI and robotics technology to Fortune100 customers like FedEx, Target and Walmart, they have an expansive view of what’s happening across retail, e-commerce, grocery, package handling and logistics industries.

Chris Geyer, vice president at Berkshire Grey, works closely with these customers on product development and implementation and is well-equipped to see what the new year has in store. [Read more…] about 2023 Predictions & Forecasts: Berkshire Grey expects RaaS to get bigger

Filed Under: Features, Logistics Tagged With: automation, berkshire, capital, don, geyer, grey, grocery, grow, increase, labor, market, models, online, operations, operators, predictions, RaaS, robotic, smaller, store, trend, year

Christie’s auction house and Hyundai host art and artificial intelligence exhibition

July 2, 2019 by Sam Francis

Prestigious auction house Christie’s recently hosted an art exhibition with a difference – the subject of this one was the impact of artificial intelligence on all aspects of the art world.

The 2019 Art+Tech Summit: The AI Revolution brought together thought leaders, industry experts, and artists for a series of lectures and panel discussions.

Produced in conjunction with Christie’s Education and presented by Hyundai, the summit facilitated lively conversation on emerging trends and predictions facing the future of our business and provided a platform for feedback and cultivating new ideas. [Read more…] about Christie’s auction house and Hyundai host art and artificial intelligence exhibition

Filed Under: Features, Sections A-Z Tagged With: ai, analytics, art, artists, artwork, christie, considered, data, discussion, discussions, emerging, ethical, exhibition, fiennes, future, hyundai, included, issues, museum, panel, predictions, summit, technology, trends, view, yugen

Predictions for the future of manufacturing

December 20, 2016 by Sam Francis

industrial trends

industrial trends

Martyn Williams, managing director of industrial software expert Copa-Data UK, examines three of the most prominent automation trends of 2017 and discusses how these trends are changing manufacturing operations

As manufacturing facilities incorporate greater levels of automation, the demand for new technologies continues to grow.

Recent years have seen several trends create a shift in the way the industry operates.  [Read more…] about Predictions for the future of manufacturing

Filed Under: Computing, Industry, Manufacturing, News Tagged With: automation, cloud, data, industrial, learning, machine, machinery, manufacturers, manufacturing, modularisation, predictions, production, scada, software, trends

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