Earth observation has become increasingly valuable in today’s data-driven world, utilizing aerial imagery and ground-based sensors to gather information about Earth. A recent World Economic Forum study estimates that the potential economic value from Earth data could reach $703 billion by 2030, contributing to a cumulative $3.8 trillion in GDP. This data can help reduce greenhouse gas emissions and support sustainable development. Collaborative efforts among governments, industries, and civil society are essential to leverage Earth observation for better decision-making and innovation. The technology can benefit both public and commercial sectors, with significant dual-value potential aligning with sustainable development goals. However, challenges such as equitable access and technical complexity remain, necessitating collective action to harness the full potential of Earth observation for economic and environmental benefits.
| name | description | change | 10-year | driving-force | relevancy |
|---|---|---|---|---|---|
| Exponential Growth of Earth Observation Data | The scale and quality of Earth observation data has surged in the last decade. | Shift from limited data accessibility to widespread, high-quality Earth data availability. | In 10 years, Earth observation data will be integral to various sectors, enhancing decision-making processes. | The advancement of AI and IoT technologies driving the integration of vast data sources. | 4 |
| Sustainability and Economic Growth Link | Earth observation can support economic growth while addressing sustainability challenges. | Transition from viewing sustainability and economic growth as separate to intertwined objectives. | In 2030, businesses will prioritize sustainability as a key driver of profitability and growth. | The increasing urgency of climate change and public demand for sustainable practices. | 5 |
| Dual-Value Proposition Emerging | Organizations increasingly recognize the dual benefits of Earth observation for public and private interests. | Shift from isolated public benefits to integrated public and commercial advantages. | In a decade, collaboration between sectors will be critical for maximizing Earth observation benefits. | The recognition of shared goals in sustainability and economic performance across sectors. | 5 |
| Rise of AI-Enabled Earth Observation Solutions | AI technologies are enhancing the ability to analyze Earth observation data. | From traditional data analysis methods to advanced AI-driven insights. | AI will enable real-time decision-making and predictive analytics for environmental management. | The drive for efficiency and enhanced capabilities in data processing and analysis. | 4 |
| Global Regulatory Trends for Climate Disclosure | New regulations globally mandate climate-related disclosures from companies. | Transition from voluntary to mandatory climate risk and emissions reporting. | By 2030, organizations will rely heavily on Earth observation for compliance with sustainability regulations. | The push for transparency and accountability in corporate environmental practices. | 5 |
| Increased Collaboration Across Sectors | Collaboration among government, industry, and civil society is essential for Earth observation success. | Shift from isolated efforts to collective action and shared responsibility. | In a decade, multi-sector partnerships will be the norm for tackling environmental challenges. | The recognition that complex global issues require diverse stakeholder engagement and solutions. | 5 |
| Emergence of Innovative Earth Observation Applications | New applications of Earth observation data are being developed across various sectors. | From traditional uses to innovative, sector-specific applications for diverse needs. | In 2030, Earth observation will drive innovation in multiple industries, from agriculture to urban planning. | The need for tailored solutions to address specific environmental and social challenges. | 4 |
| Democratization of Earth Data Access | Efforts are being made to provide equitable access to Earth observation data. | Shift from restricted access to open, free access for a wider range of users. | By 2030, equitable data access will empower communities and organizations globally to leverage Earth insights. | The drive for inclusivity and empowerment through data availability and education. | 4 |
| name | description | relevancy |
|---|---|---|
| Equitable Access to Data | Ensuring all users have equal access to Earth observation data and insights is critical for maximizing its societal benefits. | 4 |
| Lack of Standardization | The fragmented nature of Earth observation standards may impede effective measurement and communication of environmental data. | 5 |
| Commercial Demand Challenges | Heavy reliance on the public sector for Earth observation demand may stifle investment and innovation in the commercial sector. | 4 |
| Technical Complexity | The complexity of accessing and utilizing Earth observation data may limit its widespread adoption across various industries. | 3 |
| Sustainability Disclosure Requirements | Unaligned environmental standards and reporting requirements can hinder the adoption of Earth observation data for compliance purposes. | 4 |
| Emerging AI Integration Risks | The increasing integration of AI with Earth observation raises concerns about data accuracy and ethical implications. | 4 |
| Urgency in Climate Action | The growing pressure to address climate change necessitates immediate and effective use of Earth observation to drive action. | 5 |
| Data-Driven Decision Making Accessibility | Not all organizations may be equipped to translate Earth data into actionable insights, limiting its overall impact. | 3 |
| Market Resilience | Concentration of demand in the public sector may create vulnerabilities in the Earth observation market as it shifts toward commercial viability. | 4 |
| User Engagement and Activation | Sustained user engagement is crucial for the effective utilization of Earth observation data in decision-making processes. | 3 |
| name | description | relevancy |
|---|---|---|
| Collaborative Earth Observation Strategies | A collective approach involving government, industry, and civil society to enhance Earth observation applications for public and commercial benefits. | 5 |
| AI-Enabled Earth Data Insights | Utilizing artificial intelligence to analyze and derive actionable insights from Earth observation data, enhancing decision-making across sectors. | 5 |
| Equitable Access to Earth Data | Ensuring all stakeholders, regardless of background, can access and utilize Earth observation data effectively for various applications. | 4 |
| Integration of Earth Observation in Business Models | Adopting Earth observation data into commercial products and services to drive innovation and operational efficiency in industries. | 5 |
| Sustainability-Focused Applications | Developing Earth observation solutions that align with sustainable development goals, addressing climate risks and environmental challenges. | 5 |
| User-Centric Design in Earth Data Solutions | Applying human-centered design principles to create accessible and actionable Earth observation tools for diverse users. | 4 |
| Standardization of Earth Observation Data | Establishing consistent definitions and open standards for Earth observation data to facilitate interoperability and widespread use. | 4 |
| Public Sector Leadership in Earth Observation | Leveraging government capabilities and investments to drive advancements and adoption of Earth observation technologies. | 5 |
| Commercial Demand for Dual-Value Applications | Encouraging the private sector to invest in Earth observation solutions that provide both economic and environmental benefits. | 5 |
| name | description | relevancy |
|---|---|---|
| Earth Observation Data Integration | Combining aerial imagery from satellites, drones, and ground-based sensors for enhanced environmental insights. | 5 |
| AI-Enabled Earth Insights | Leveraging artificial intelligence to analyze Earth observation data for better decision-making and operational efficiencies. | 5 |
| Hyperspectral Imaging | Utilizing high-resolution data to tackle climate and environmental policy issues effectively. | 4 |
| Geospatial Data Accessibility Platforms | Providing open access to Earth observation data through platforms like Google Earth Engine and Microsoft’s Planetary Computer. | 4 |
| Parametric Insurance Models | Using remote sensing data to assess risk and develop innovative insurance products tailored to specific environmental conditions. | 4 |
| Open-Source Standards for Earth Observation | Developing interoperability standards to simplify access to and utilization of geospatial data. | 4 |
| Sustainable Development Goal Alignment | Aligning Earth observation applications with UN Sustainable Development Goals for climate action and resource management. | 5 |
| name | description | relevancy |
|---|---|---|
| Growth of Earth Observation Data Market | The Earth observation data market is projected to grow significantly, with potential contributions to global GDP and sustainability goals by 2030. | 5 |
| Integration of AI in Earth Observation | The convergence of AI technologies with Earth observation data is enhancing insights and applications across industries. | 5 |
| Public-Private Collaboration for Sustainability | Growing collaboration between public and private sectors is key to leveraging Earth observation for economic and environmental benefits. | 4 |
| Demand for Climate-Related Financial Disclosures | New regulations are increasing the demand for objective Earth observation data for climate risk disclosures and compliance. | 4 |
| Equitable Access to Earth Data | Ensuring equitable access to Earth observation data for diverse users is crucial for maximizing its benefits. | 4 |
| Standards Development for Earth Observation | The lack of widely accepted standards for Earth observation measurements poses challenges for adoption and effectiveness. | 5 |
| Commercial Use Cases for Earth Observation | There is an untapped potential for commercial applications of Earth observation data beyond public sector usage. | 4 |
| Sustainability Impact Measurement | Establishing methods to measure sustainability impacts using Earth observation data is increasingly important. | 4 |
| Adoption of Open Standards in Earth Data | The need for open standards in Earth observation data to improve interoperability and user experience is critical. | 4 |