Organizations are increasingly leveraging data, including alternative data sources, to gain insights that drive business outcomes, particularly in relation to economic and environmental factors. The advancement of technologies such as AI and computer vision applied to satellite data is enabling better tracking of human activity and its environmental impact. Different satellite types, including Earth-observation and atmospheric satellites, provide valuable data for macroeconomic indicators and ESG reporting. Robust model construction is vital for accurate insights, which can help close data gaps in ESG ratings and reveal the true environmental and economic conditions. Ultimately, satellite data is proving crucial for understanding the interconnectedness of economies and ecosystems, offering real-time insights for investors and organizations.
| name | description | change | 10-year | driving-force | relevancy |
|---|---|---|---|---|---|
| Rise of Alternative Data Utilization | Organizations are increasingly using nontraditional data sources for insights. | Shift from traditional data reliance to leveraging alternative data for insights. | In ten years, alternative data will be a standard part of business intelligence strategies. | The need for deeper economic and environmental insights drives the adoption of alternative data. | 4 |
| Proliferation of Satellite Technology | More satellites are being launched, enhancing data collection capabilities. | Transition from limited satellite data to widespread access and application. | In a decade, satellite data will be integral to real-time economic and environmental monitoring. | Technological advancements and decreasing costs drive satellite launches and data accessibility. | 5 |
| Integration of AI in Data Analysis | AI technologies are being used to analyze both traditional and alternative data. | Evolution from manual data analysis to automated, AI-driven insights. | AI will revolutionize data analysis, providing instant, actionable insights across industries. | The demand for faster, more accurate data insights fuels AI adoption in analytics. | 5 |
| Enhanced ESG Reporting | Stakeholders demand more robust environmental, social, and governance reports. | Shift from basic to detailed and actionable ESG reporting requirements. | In ten years, ESG reporting will be data-driven and standardized across industries. | Increased awareness of sustainability and accountability drives the demand for ESG transparency. | 4 |
| Real-time Economic Indicators from Satellite Data | Satellite data is being used to create real-time macroeconomic indicators. | Move from delayed economic indicators to real-time, satellite-derived insights. | Real-time satellite data will redefine how we understand and respond to economic changes. | The need for timely economic data drives the integration of satellite technology in economics. | 4 |
| Growth of Computer Vision Applications | Applications of computer vision in satellite data are increasing. | Transition from traditional methods to advanced computer vision for data interpretation. | In a decade, computer vision will be commonplace in various industries for data analysis. | The pursuit of more accurate and granular data insights fuels computer vision development. | 4 |
| Demand for Granular Asset-Level Insights | Investors seek detailed insights at the asset level for risk assessment. | Shift from general data to specific, detailed asset-level information. | Asset-level insights will become standard in investment analysis and decision-making. | The need for better risk management and investment strategies drives this demand. | 4 |
| name | description | relevancy |
|---|---|---|
| Data Privacy and Security | The use of satellite data and AI can lead to privacy infringements if not handled with strict protocols, raising concerns for individuals’ and corporations’ data. | 4 |
| Environmental Impact Monitoring | Relying on satellite data to track environmental changes could inadvertently lead to negative consequences if models aren’t accurate or misapplied. | 5 |
| ESG Data Accuracy | Potential over-reliance on satellite data for ESG ratings may overlook fundamental issues, creating a false sense of security among investors. | 4 |
| Technological Reliance | Heavy dependence on AI and machine learning models may create systemic risks if these technologies fail or produce biased results. | 5 |
| Economic Inequality | The application of advanced data insights may widen the gap between organizations that can leverage such tools and those that cannot. | 4 |
| Climate Change Impact Misinterpretation | Satellites provide data that can be misinterpreted if not contextualized properly, potentially leading to misguided policy and investment decisions. | 5 |
| Sustainability Reporting Pressure | Increased demand for ESG insights may pressure companies into superficial compliance rather than genuine sustainability efforts. | 4 |
| name | description | relevancy |
|---|---|---|
| Proactive Data Utilization | Organizations increasingly seek alternative data sources to enhance their traditional data for deeper insights, especially in changing economic conditions. | 5 |
| Integration of Advanced Technologies | Businesses are leveraging AI, ML, and computer vision to interpret both traditional and alternative data for innovative solutions. | 5 |
| Real-time Environmental Monitoring | Utilizing satellite data for continuous monitoring of environmental factors and their economic implications. | 5 |
| Enhanced ESG Reporting | Demand for more accurate and detailed ESG data is rising, influenced by satellite observations and alternative data integration. | 5 |
| Cross-Verification of Data Sources | Employing satellite imagery to validate self-reported ESG ratings and assess environmental impacts more accurately. | 4 |
| Sector-Specific Insights Development | Using computer vision to categorize and analyze industrial sites for tailored economic insights across sectors. | 4 |
| Visualization of Macroeconomic Indicators | Creating data visualizations from satellite insights to communicate economic and environmental trends effectively. | 4 |
| name | description | relevancy |
|---|---|---|
| Alternative Data | Nontraditional data sources used for insights beyond typical industry data, crucial for economic and environmental analysis. | 5 |
| Artificial Intelligence (AI) | Technologies that simulate human intelligence, used for processing data and generating insights. | 5 |
| Machine Learning (ML) | A branch of AI that enables systems to learn from data and improve their performance over time. | 5 |
| Deep Learning | A subset of ML that uses neural networks with many layers to analyze various forms of data. | 4 |
| Natural Language Processing (NLP) | AI technology that enables computers to understand and interpret human language, enhancing data insights. | 4 |
| Computer Vision | Technology that allows computers to interpret and process visual data from the world, particularly from satellites. | 5 |
| Satellite Data Analytics | Using data from satellites for economic and environmental insights, tracking human activity and its impacts. | 5 |
| ESG Reporting Technologies | Tools for improving the accuracy and granularity of Environmental, Social, and Governance reporting. | 4 |
| name | description | relevancy |
|---|---|---|
| Alternative Data Utilization | Organizations are increasingly turning to alternative data sources for economic insights, moving beyond traditional datasets. | 4 |
| Satellite Data for ESG Reporting | The use of satellite data is becoming crucial for accurate ESG reporting and transparency in environmental impact. | 5 |
| Computer Vision in Earth Observation | Advancements in computer vision technology are enabling better analysis of satellite imagery for various applications including urban growth and pollution tracking. | 4 |
| Real-time Macroeconomic Indicators | The ability to derive real-time indicators from satellite data can enhance understanding of economic recovery and growth. | 5 |
| Integration of Multi-Source Data | Combining satellite data with alternative data sources like social media can improve the reliability of economic and environmental models. | 4 |
| Impact of Climate Change on Economies | As climate change affects economies, understanding its impact through satellite data becomes increasingly vital. | 5 |
| Demand for Granular ESG Insights | Investors are seeking more detailed ESG insights to assess risks effectively, pushing for better data integration. | 4 |
| Data Gaps in ESG Ratings | The need to close data gaps in ESG ratings is driving innovation in data collection and analysis from satellite sources. | 4 |
| Environmental Monitoring via Satellites | Satellites are now essential tools for monitoring environmental changes and human activities affecting the planet. | 5 |