Deep Tech
About Deep Tech
Deep Tech refers to technologies built on scientific discoveries and engineering breakthroughs, including AI, quantum computing, advanced robotics, materials science, biotechnology, and related deep science disciplines that push beyond incremental improvements.
Trend Decomposition
Trigger: Breakthroughs in foundational science enable new capabilities across AI, quantum, and materials domains, attracting investment and policy support.
Behavior change: Companies prioritize long horizon R&D, cross disciplinary teams, and IP heavy strategies over short term product cycles.
Enabler: Access to large compute resources, open research ecosystems, and specialized funding unlocks previously prohibitive research investments.
Constraint removed: High cost barrier to advanced experimentation is reduced by cloud compute, specialized hardware, and collaborative research models.
PESTLE Analysis
Political: Government funding and national strategy initiatives boost investment in foundational technologies and national competitiveness.
Economic: Venture funding flows into deep tech start ups; enterprise demand grows for long term, high impact solutions.
Social: Public interest in transformative technologies rises, driving talent pipelines and interdisciplinary collaboration.
Technological: Advances in AI, quantum computing, nanomaterials, and biotech create new platforms and application possibilities.
Legal: IP regimes and export controls shape collaboration and commercialization pathways for sensitive technologies.
Environmental: Deep tech enables cleaner energy, sustainable materials, and carbon negative processes, aligning with climate goals.
Jobs to be done framework
What problem does this trend help solve?
It provides access to breakthrough solutions for complex problems across science and industry.What workaround existed before?
Incremental improvements via traditional R&D often took longer and offered limited transformative potential.What outcome matters most?
Scientific discovery speed and the ability to deploy high impact, scalable technologies costs and certainty.Consumer Trend canvas
Basic Need: Access to foundational science led innovation.
Drivers of Change: Breakthroughs in computation, cross disciplinary collaboration, and capital willingness to back long horizon programs.
Emerging Consumer Needs: Advanced technologies delivering safer, smarter, and more sustainable products and services.
New Consumer Expectations: Transparent research, ethical deployment, and measurable impact from technology providers.
Inspirations / Signals: Publications of open datasets, large scale experiments, and cross sector partnerships.
Innovations Emerging: Quantum hardware progress, AI alignment advances, novel materials, and bioengineering breakthroughs.
Companies to watch
- DeepMind - AI research lab focusing on foundational AI capabilities with broad applicability.
- Rigetti Computing - Quantum computing company developing quantum processors and integrated software stack.
- D-Wave - Quantum computing company offering quantum annealing hardware and solutions.
- Graphcore - Artificial intelligence hardware accelerator company building IPU processors.
- IonQ - Quantum computing company delivering trapped ion quantum computers and services.
- Cambridge Quantum - Quantum software and cryptography company advancing quantum safe solutions.
- OpenAI - Research lab and for profit company developing advanced general purpose AI technologies.
- IBM - Global technology company advancing AI, quantum computing, and advanced materials research.
- QuantumScape - Developer of solid state battery technology aimed at electric vehicles.