Disruptive Technologies for Digital Climate Monitoring Solutions to Accelerate Urban Transitions Towards a Net-zero Future
This study provides an analysis of the key cities around the world best positioned to implement smart emission monitoring solutions in the short, medium, and long terms. Cities account for 70% of global emissions and therefore play key roles in the transition towards a low-carbon economy. New technologies play an important role in this transition. Next-generation climate intelligence solutions that combine real-time datasets with artificial intelligence (AI) benefit all urban stakeholders, enabling effective and innovative communication and exchange of information.
Real-time monitoring of greenhouse gas (GHG) emissions in urban spaces help stakeholders prioritize, plan, implement, and monitor science-based measures in a transparent manner. Access to relevant information on emission reduction and related costs helps urban planners break down their strategies by key sectors and finance and monetize climate projects through carbon markets. The global market for real-time GHG monitoring solutions reached $350 million in 2022 and is expected to reach $1,453.4 million in 2030 at a significant compound annual growth rate (CAGR) of 19.5%.
This report explains the digital components of real-time emissions monitoring systems and examines how digital solutions can drive the global transition towards a net-zero economy. It analyzes the highest urban GHG emitters in the world, identifies the key addressable city sectors for relevant climate actions, and examines the benefits of emerging climate technologies, focusing on key market drivers and restraints. The report identifies the main stakeholders along the value chain and provides an overview of the companies to watch and the new business models in this space. The study also highlights successful case studies and identifies the growth opportunities emerging from the development of climate technologies for urban applications.
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Ecopia AI