Global DeepTech Investment Landscape

The global investment landscape has historically been dominated by low-risk, short-term ventures, leaving high-risk, capital-intensive DeepTech projects—like AI, biotech, and quantum computing—underfunded despite their potential for transformative impact. There’s growing recognition of the need to fund these capital-heavy projects to drive technological breakthroughs and ensure future economic and societal benefits. The United Nations Sustainable Development Goals (SDGs), including Goal 9 (Industry, Innovation, and Infrastructure), signal a global push to bridge the innovation funding gap by supporting high-risk, transformative technologies.

DeepTech investments are projected to grow significantly, with estimates suggesting they could represent over $500 billion annually by 2030, up from $200 billion in 2020, according to industry reports. This shift is fueled by advancements in IP tokenization, supportive policies, and the decreasing cost of scaling DeepTech solutions. For instance, the cost of gene sequencing dropped by 99% between 2010 and 2020, per the National Human Genome Research Institute, making biotech more accessible for investment.

The World Economic Forum estimates that achieving global innovation goals by 2050 will require annual investments in DeepTech of around $1 trillion by 2030. This capital is vital to meet rising demand for advanced solutions—like AI-driven diagnostics or quantum computing—and transition industries from incremental to transformative innovation. DeepTech is expected to drive over 70% of new tech patents by 2030, with AI and biotech leading this growth.

Innovation Funding Gap and Global Goals

The innovation funding gap remains a pressing challenge, with over 60% of viable DeepTech projects lacking sufficient capital due to their high-risk, long-term nature. This gap is stark in emerging markets, where investment infrastructure is underdeveloped, and funding for capital-heavy ventures is scarce. The United Nations SDG 9 aims to foster innovation by 2030, requiring novel financing models like IP tokenization to unlock non-dilutive capital and improve access for underserved innovators.

Global initiatives, such as the G20’s innovation agendas, have spurred DeepTech investment. Countries like the United States, China, and Israel lead in DeepTech funding, accounting for over 70% of global venture capital in these fields in 2023. Public-private partnerships (PPPs) are also rising, blending government support with private capital to accelerate high-risk projects like fusion energy or advanced materials.

DeepTech investment is gaining momentum globally. AI, biotech, and quantum technologies are at the forefront, driven by cost reductions and breakthroughs. The cost of training large AI models has dropped by 50% since 2018, per Stanford’s AI Index, while biotech R&D efficiency has improved with CRISPR advancements. These trends are bolstered by policies like tax incentives and increasing capital flows into DeepTech infrastructure.

DeepCap Protocol (DCP)

DeepCap Protocol (DCP) addresses the innovation funding gap through IP tokenization and blockchain technology. By connecting inventors, community members, and investors, DCP democratizes access to DeepTech funding, supporting high-risk, capital-intensive projects with transparent, scalable solutions.

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