Deep Computers

Deep Tech Market Size, Share, Growth , Outlook, Trends 2035

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Q3 2024: German robotics startup Agile Robots raises $100M Series C to expand global manufacturing Agile Robots, a Munich-based deep tech firm, raised $100 million in Series C funding to scale up its intelligent robotics manufacturing and expand into new international markets. Q2 2024: NVIDIA launches Blackwell GPU platform for AI and scientific computing NVIDIA announced the launch of its Blackwell GPU platform, designed to power next-generation AI models and scientific computing applications, marking a major product milestone in deep tech hardware. The Deep Tech Market is witnessing remarkable progress in artificial intelligence, which is being integrated into various applications. This trend indicates a growing reliance on machine learning algorithms to enhance decision-making processes and automate tasks across multiple sectors. Quantum computing is emerging as a pivotal area within the Deep Tech Market, with ongoing research aimed at solving complex problems beyond the capabilities of classical computers. This trend suggests a potential paradigm shift in computational power, impacting industries such as cryptography and materials science. Innovations in biotechnology are reshaping the Deep Tech Market, particularly in healthcare and agriculture. Q1 2024: Oxford Nanopore secures regulatory approval for new DNA sequencing device in Europe Oxford Nanopore Technologies received CE-IVD regulatory approval for its latest DNA sequencing device, enabling clinical diagnostics and expanding its deep tech product portfolio. Q2 2024: UK’s Wayve raises $1.05 billion to develop AI-powered autonomous vehicles Wayve, a British deep tech startup, raised $1.05 billion in a funding round led by SoftBank, Microsoft, and Nvidia to accelerate the development of its AI-driven autonomous vehicle technology. Q3 2024: IonQ acquires Q-CTRL to strengthen quantum error correction capabilities IonQ, a US-based quantum computing company, acquired Australian quantum control software firm Q-CTRL to enhance its quantum error correction and expand its deep tech offerings.

A deep dive into deep tech I HSBC Innovation Banking

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Deep tech is often defined using terms that sound like the come straight from science fiction, but put simply, it’s a term applied to novel technology built on scientific discovery or meaningful engineering innovation. To distil it even further, it’s best understood as hardware-focused innovation that creates tangible products that change how we interact with the world. Of course software and hardware go hand-in-hand, but unlike the code that underpins software development, deep tech is focused on the machines and mechanisms that make new realities possible. Think Quantinuum developing quantum computers that will revolutionise encryption, or XYZ bringing mixed reality headsets into the construction space. Deep tech is a term applied to novel technology built on scientific discovery or meaningful engineering innovation. Many technologies in the space, which comprises quantum computing, robotics, augmented/mixed reality, and semiconductors, are maturing, leading to convergence that’s driving innovation across different industries. Although new developments in deep tech are incredible feats of engineering in their own right, the reason why deep tech is particularly exciting today is because many of these technologies are maturing simultaneously. This convergence creates opportunities to reshape industries and solve problems previously considered impossible by creating powerful feedback loops that accelerate innovation across sectors. Rapberry Pi’s small single-board computers are a good example. Despite the common misconception that deep tech companies fail more often than their SaaS counterparts, recent activity suggests that investors are increasingly comfortable with the sector’s unique risk profile. Take quantum computing: in 2024, over €1.2 billion in public and private funding flowed into European quantum startups alone1.

A Complete Guide on the Impact of Deep Tech on Industries

appinventiv.com

Its platforms accelerate­ computing for data analytics, research, and autonomous systems, catalyzing innovation across he­althcare, automotive, finance and more­. Though foremost in hardware, NVIDIA’s software advance­ments also drive progress. The growth of de­ep tech-enable­d companies is surging. This advancement is drive­n by progress in Deep Tech trends such as AI, ML, biotechnology, and more. Deep Tech examples include artificial intelligence, robotics, blockchain, quantum computing, synthetic biology, and augmented reality. The knowledge intensity and technical complexity inherent to Deep Tech leads to products and solutions with broad, transformational potential. Fields like quantum computing promise solutions to problems beyond classical computers’ reach. Science-based techniques open up new approaches to innovation. Enhanced Efficiency: Deep tech in AI and robotics has huge potential to substantially automate tasks and optimize processes to improve efficiency across functions. Systems can operate with less downtime and minimal errors. Resources can be allocated in a highly precise, data-driven manner to boost productivity. Furthermore, computer vision inspects products for minute defects. Generative design also produces novel, efficient product architectures. In finance, robo-advisors automate wealth and investment management using algorithms built on academic research in data science and finance. For cybersecurity, Deep Tech in AI systems detects patterns indicative of fraudulent transactions in real-time, reducing risk.

Deep Tech for Dummies (& Smart VCs Who Want an Edge) | by Ali Alam ...

medium.com

In essence, deep tech is about leveraging scientific breakthroughs to create transformative products and industries, defining Europe’s economic future and technological independence. As venture capitalists, understanding this landscape is not merely beneficial — it is strategically essential. Investing in deep tech is a different ballgame from backing a SaaS app or marketplace. Before the game, newbies should familiarise themselves with the history and trends of the sector. Ensure the startup has a credible entry market where they can get traction in 5 years, not just a sci-fi vision of dominating all computing. Scalability & Production: Ask how the company will scale production or deployment once the core tech is proven. Deep tech isn’t just lab demos; you have to build stuff at scale. For instance, Daimler’s partnership and investment in battery tech startup Sila Nano and Volkswagen’s strategic funding of Northvolt underscore this trend. Emerging Category Leaders: Larger deep tech startups occasionally acquire smaller niche players to consolidate market leadership. According to the 2025 European Deep Tech Report, deep tech encompasses seven key sectors, each with distinct market dynamics: ... Investments in Deep Tech Sectors By Ali Alam Inspired by Lakestar, Walden Catalyst and Dealroom’s 2025 European Deep Tech Report · Novel AI: Cutting-edge artificial intelligence, including generative AI and foundational models, attracting about $3.0 billion in Europe in 2024 (100% YoY growth). Future of Compute: Next-generation computing tech like advanced semiconductors, quantum computing, and photonics, securing around $1.2 billion (flat YoY).

State of Deep Tech - Bessemer Venture Partners

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Does the software product have product-market fit with customers? —whereas technical and financing risks dominate risks in deep tech. For instance, if a deep tech company actually manages to build a commercial quantum computer, it’s a no-brainer that the market is more than big enough and that customers will clamor to use it. Deep tech companies and industries across the board have the potential to continue along this trend, hitting inflection points in societal awareness upon reaching different ground-breaking milestones. 7. The average TRL of companies on the XB100 is ~7. At this stage, companies have demonstrated a fully-functioning prototype of their technology in a close-to-real-world environment. The company category with the lowest TRL was quantum computing, with a TRL of 4, while the company categories with the highest TRL were robotics and mobility, each with a TRL of ~8.5. This suggests that even among deep tech investors in the private markets, the required capital expenditures and time to exit is too far into the future. Instead, AR/VR has attracted attention from public tech companies with balance sheets large enough to invest in what they believe is the next computing platform. While different software verticals face similar product development and marketing processes, the engineering challenges across deep tech categories, such as drones and hydrogen production, are too different to make them easily comparable. Deep tech is more than just government research.

What is deep tech? | Definition from TechTarget

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Development of advanced forms of power production, including but not limited to nuclear fusion technology, is a deep-tech issue of critical importance to all life on Earth. Quantum computing. The workforce in deep tech requires advanced expertise and skills in complex fields such as quantum computing, robotics, genomics and AI. Competition is intense for this scarce talent. Regulatory landscape. Highly regulated industries such as aerospace, pharmaceuticals and energy require deep-tech startups to work closely with government bodies in navigating complex regulations. Customized production. Create new types of business applications. By advancing fields such as quantum computing and material sciences, deep tech lays the groundwork for new products, services and revenue opportunities. Robotics combines engineering and computer science to build machines that can operate autonomously. Deep-tech robotics innovators develop next-generation industrial robots, humanoid service robots, surgical bots, autonomous drones and other intelligent machines. Deep tech differs from regular high tech and mainstream consumer technology in various ways.