Technology Convergence Report

The World Economic Forum's Technology Convergence Report 2025 presents the 3C Framework to help organizations navigate the synergy between eight key technology domains: AI, omni computing, engineering biology, spatial intelligence, robotics, advanced materials, next-generation energy, and quantum technologies. The report argues that innovation now occurs through the combination of sub-components at varying maturity levels, leading to the convergence of value chains and eventually compounding ecosystem effects that drive exponential adoption and cost reductions. It provides specific examples of these intersections, such as the rise of humanoid robotics in China and the integration of AI with genomic sequencing in healthcare.

• The 3C Framework describes a three-stage evolution of technology: Combination (integrating complementary technologies), Convergence (reshaping value chains to enter new markets), and Compounding (where scale and network effects drive exponential adoption and cost reductions).
• The most effective technological combinations typically pair innovations at different maturity levels, such as combining experimental 'genesis-stage' technologies with stable 'commodity-stage' infrastructure.
• In China, cross-industry convergence between consumer electronics, drones, and autonomous vehicles is accelerating the humanoid robot market, with shipments projected to grow from 18,000 units in 2025 to over 1 million by 2030.
• The cost of producing humanoid robots is expected to decrease significantly, falling from approximately $35,000 in 2025 to around $17,000 by 2030 due to economies of scale and improved manufacturing.
• AI is acting as a universal integrator across other domains, with 'agentic AI' currently at the genesis stage, enabling autonomous decision-making and collaboration between intelligent systems.
• Omni computing is shifting toward decentralized physical infrastructure networks (DePIN), a sector valued at $30-50 billion with over 1,500 projects, projected to reach $3.5 trillion by 2028.
• Engineering biology is converging with AI to move beyond healthcare into consumer goods, energy, and food, such as using precision fermentation to create animal-free proteins.
• Next-generation energy convergence is utilizing AI-driven predictive analytics and IoT to transform static power grids into adaptive, self-balancing 'intelligent grid systems'.
• Quantum technology is moving toward hybrid quantum-classical computing systems to bridge the gap between probabilistic quantum mechanics and deterministic classical computing for near-term applications in drug discovery and materials science.
• The integration of AI and quantum science has demonstrated a 95% reduction in the time needed to predict lithium-ion battery end-of-life, with 35 times greater accuracy than traditional methods.

APA

World Economic Forum (2025). Technology Convergence Report. https://reports.weforum.org/docs/WEF_Technology_Convergence_Report_2025.pdf

Chicago

World Economic Forum. Technology Convergence Report. 2025. https://reports.weforum.org/docs/WEF_Technology_Convergence_Report_2025.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Technology Convergence Report |date=June 2025 |url=https://reports.weforum.org/docs/WEF_Technology_Convergence_Report_2025.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2025technology, author = {{World Economic Forum}}, title = {{Technology Convergence Report}}, institution = {World Economic Forum}, year = {2025}, month = jun, url = {https://reports.weforum.org/docs/WEF_Technology_Convergence_Report_2025.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }