LiDAR & Scanning
Technical Track
- Next-Gen Accuracy in Sensing: Advanced LiDAR systems now offer centimeter to sub-centimeter accuracy, revolutionizing surface modeling and enabling high-fidelity spatial reconstruction for real-world objects and terrain.
- Real-Time 3D Scanning and Edge Processing: Portable and UAV-mounted LiDAR units now enable real-time data acquisition and edge processing, allowing for immediate visualization, validation, and adaptive scanning workflows.
- Cloud-Enabled LiDAR Workflows: Cloud platforms now allow massive point cloud data to be stored, streamed, and processed collaboratively across geographies—pushing the boundaries of remote sensing and smart infrastructure management.
- Sustainability Through Precision: LiDAR reduces redundant resource use in surveying, planning, and monitoring, contributing to low-carbon workflows in construction, forestry, and conservation.
- Managing Spatial Scans: Integrating LiDAR with AI and machine learning for advanced analytics, will facilitate opportunities in scaling these technologies globally.
Airborne LiDAR Market
$2 bn
2026
driven by increased demand in topographic mapping and forestry.
LiDAR Revenue
$4.5 bn
2027
$5.1 bn
2028
Source: Market.us
Data Science
Technical Track
- A Game Changer: Sector-Agnostic Intelligence: From precision agriculture to fintech risk modeling, Data Science is the unifying methodology.
- Unlocking Insights: Integrating “where” into the equation—revealing mobility trends, environmental impacts, and socio-economic disparities and the future lies in spatiotemporal fusion models combining time, place, and behavior.
- Spatial Interactions: Geospatial data science unlocks insights by integrating “where” into the equation—the future lies in spatiotemporal fusion models combining time, place, and behavior.
- Data Ecosystems and Open Platforms: Building open data ecosystems—via APIs, federated learning, and cross-sector data-sharing alliances—will drive collaborative innovation, especially in climate resilience, public health, and infrastructure.
- Ethical Lens: Governance and Accountability: Build responsible AI frameworks—combining transparent data governance, reproducible modeling, and equitable data access amplifies trust.
Global Geospatial Analytics Market
$96 bn
2023
$776 bn
2032
CAGR (most cited benchmark) 26.1%.
Global Data Science Platform Market
$447 bn
2030
CAGR 25%
Source: Precedence Research
Spatial Computing & Digital Twin
Technical Track
- Redefining Smart World: Spatial computing and digital twin technologies are redefining the interaction between the physical and digital realms.
- Creating Solutions through Immersion: Immersive simulations, real-time monitoring, and predictive analytics across industries improves operation during production and maintenance phases.
- Dynamic Digital Replicas: Integration of IoT, AR/VR, and AI with location intelligence of real-world objects creates dynamic digital replicas- enabling real time functioning.
- Cross-Domain Systems Integration: Digital twins enable interoperability between complex systems—combining transportation, utilities, and public services into a unified decision-support environment powered by spatial computing.
- Cloud-Native Twin Platforms with Edge Synchronization: Advancements in cloud-edge architectures allow digital twins to sync massive spatial datasets seamlessly—processing real-time updates at the edge while retaining analytical depth in the cloud.
Digital Twin Market
$11.5 bn
2023
$110 bn
2030
CAGR 38.07%
Spatial Computing Market
$97 bn
2023
$280 bn
2030
CAGR 16.35%
Source: Geospatial World Analysis
GeoAI
Technical Track
- Interdisciplinary Collaboration: represents the convergence of geospatial technologies and artificial intelligence, offering transformative capabilities in spatial data analysis.
- More incoming: Latest developments in AI-powered remote sensing, spatial pattern recognition, and predictive modeling.
- GeoAI Promotion and Application: Government investments in smart cities and national security projects are significant drivers of GeoAI market growth.
- Key Trend: Enhanced real-time data processing with edge computing is a key trend in GeoAI.
- The Integration and Adoption: AI with geospatial data is improving environmental monitoring and resource management, expanding sectors like agriculture- aiding in precision farming and yield prediction.
Global GeoAI Market
$38 bn
2024
$64.60 bn
2030
CAGR 9.25%
Source: GlobeNewswire
AI in Geospatial Analytics Market
Over 60% of geospatial analytics platforms now incorporate AI/ML models for tasks such as object detection, land use classification, and predictive modeling.
Source: Geospatial World, 2024
AEC (Architecture, Engineering, and Construction)
Knowledge Partners
Government Partner
Institutional Partners
Summit
- Digital Sovereignty: Infrastructure represents national identity, resilience, and autonomy, built Environments Define Sovereignty Beyond Borders
- Economic Impact: The AEC industry contributes over 13% to global GDP, yet productivity lags behind other sectors due to disjointed planning, lack of interoperability, and inefficiencies.
- Resilience Planning: As cities expand, social equity and quality of life depend on how well we design and manage buildings, transport, and utilities- Urban Societies Demand Safer, Smarter Infrastructure
- Climate Change Adapted Construction processes: Climate change is disrupting construction lifecycles—from material sourcing to infrastructure durability, we must move from Climate Risk to Construction Resilience
- Improving Collaboration: Geospatial platforms, construction transparency tools, stakeholder involvement and urban modeling must become the norm to rebuild confidence and ensure infrastructure serves the public good.
Global AEC Market
$11.09 bn
2024
$24.29 bn
2032
At CAGR 10.3%
Source: SkyQuest
Infrastructure Investments
$6.9 trillion is required annually upto 2030 to align AEC with climate resilience goals
Source: OECD
Geospatial Knowledge Infrastructure
Summit
- National Resilience: GKI empowers nations to manage critical infrastructure, resources, and emergencies with real-time geospatial intelligence, enhancing sovereignty.
- Integration with Emerging Technologies for Smart Governance: GKI synergizes with AI, IoT, and big data, creating intelligent systems for various applications, involving even citizens- promoting citizen science in decision making processes.
- Cross-Sector Collaboration Fuels Innovation: Strong public-private partnerships will drive economic growth and innovation, integrating geospatial data across sectors like infrastructure and smart cities to create new economic opportunities.
- GKI & Society: Nations can improve the quality of life of its people by integrating insights revealed from GKI towards urban resiliency, climate change adaptation, smart cities and public health outcomes.
- National Mapping Agencies as Strategic Enablers: National Mapping Agencies (NMAs) will evolve from data providers to strategic enablers, guiding national geospatial initiatives, building public-private partnerships, and ensuring the integration of geospatial data into broader economic, environmental, and policy frameworks.
Global Geospatial Market
$454 bn
2022
$1196 bn
2030
CAGR 12.5% (2025-2030)
Source: Geospatial Knowledge Infrastructure Readiness Index 2025
Earth Observation (EO) Market
$71 bn
2022
$255 bn
2030
CAGR ~17% (2025 and 2030)
Source: GW Consulting
Utilities & Network
Seminar
- Energy Systems are Pillars of Sovereignty: Governments must build spatially intelligent utility grids—leveraging real-time GIS, asset mapping, and digital twins to secure critical infrastructure from disruption.
- Global Utility Governance Needs Digital Cooperation: Cross-border grids, data centers, and telecom corridors are growing and require cooperation.
- On Energy loss: Over 30% of global energy is lost before reaching consumers due to poor network visibility and outdated systems- technologies must be scaled for reliability through monitoring leakages and loss, support predictive maintenance and catalyze green utility investments worldwide.
- Balancing Renewables: Smart grids—enabled by geospatial intelligence—are essential to balance demand, integrate renewables, and reduce reliance on imported fossil fuels—while accelerating a green, inclusive economy.
- Surging Electricity Demands to Meet Growing Needs: The proliferation of AI technologies and data centres is causing an unprecedented increase in electricity consumption. This surge is prompting utilities to invest in new power generation assets to meet the growing needs.
Global Geospatial Utility Market
$3.55 bn
2025 to 2029
Source: PR News
Global Smart Grid Market
$50.2 bn
2022
$130.2 bn
2030
CAGR 12.7%
Source: Research & Markets
Defence & Intelligence
Summit
- GEOINT as the Strategic Backbone: Geospatial Intelligence (GEOINT) has become foundational for modern defence operations—offering real-time terrain awareness, enemy movement tracking, and border surveillance.
- Satellite Sovereignty: Investing in sovereign Earth observation and positioning systems will enable control over data and surveillance capabilities, crucial for defence autonomy.
- Defence Tech Driving Economies: Geospatial-powered defence tech boosts innovation, manufacturing, and job creation—serving as a catalyst for economic growth.
- Autonomous Systems & UAVs: Drones and unmanned systems are reshaping warfare. Sovereignty demands localized development and clear ethical-geospatial governance.
- Cyber-Geospatial Defence: Cyberattacks on geospatial infrastructure are rising. Integrated cyber-GEOINT strategies are essential to safeguard national assets.
Global Defence Geospatial Market
$273.1 bn
2032
At 11.6% CAGR
Source: Taiwan News
Global Military UAV Market
$12.5 bn
2024
$20 bn
2034
Source: DroneLife
Climate Resilience & Disaster Management
Institutional Partners
Seminar
- Climate Security = National Security: Rising sea levels, floods, and extreme weather are reshaping geopolitical boundaries and displacing populations.
- Economic Shock Absorbers through Preparedness: Globally, climate disasters cost over $300 billion annually- strengthening early warning systems and geospatial-enabled risk planning can drastically reduce recovery costs and economic disruption.
- Protecting Communities: Targeted geospatial vulnerability mapping is essential for designing equitable resilience programs and reducing socio-economic inequalities.
- Business Use Case-Climate Risk Disclosure: ESG-aligned geospatial solutions help visualize, quantify, and communicate climate risks across sectors.
- Global Solidarity, Local Action: Climate impacts are transboundary but solutions must be locally rooted. Global cooperation is needed for funding, data sharing, and capacity building.
Global Disaster Occurrences
70%
Climate-related
Source: UNDRR
Global Annual Losses
~$38 tn
Currently
~$19-59 tn
2050
Source: PIK- Potsdam
Hydrospatial Infrastructure and Blue Economy
Institutional Partners
Seminar
- Ecosystem Resilience as Societal Insurance: Mapping and restoring blue carbon ecosystems such as mangroves, seagrasses and coral reefs can fast-track climate change mitigation.
- Ocean Governance: Fragmented and Data-Poor: A global geospatial framework—linked to the UN Decade of Ocean Science—can enhance coordination, data sharing, and policy enforcement.
- Maritime Transport and Supply Chains: Over 80% of global trade moves by sea. Safeguarding maritime infrastructure from geopolitical risks and climate disruptions requires smart ports and cross-border geospatial data collaboration.
- Marine Industries as Catalysts for Coastal Economies: Marine sectors like shipbuilding and logistics contribute over $1.5 trillion to global GDP. Geospatial planning is key to their sustainable growth and infrastructure modernization.
- Marine Renewable Energy: Untapped Economic Sovereignty: Offshore wind, wave, and tidal energy offer vast potential. Real-time seabed data and marine spatial planning are essential to accelerate clean energy while protecting marine ecosystems.
Global Ocean Economy
$3 tn - $6 tn
Currently
Source: UNCTAD
Ocean Economic Growth
>75% from Asia-Pacific
55% of this comes from Eastern Asia alone
Source: OECD
Agriculture
Seminar
- Augmenting Crop Monitoring: Geospatial data can track crop health, predict pest outbreaks, and assess drought impact. Scaling this intelligence at the farm-to-nation level develops food security at a local level and a farm’s maintained output.
- Precision Agriculture for Resilient Yields: Satellites imageries, drone data, and IoT-based precision farming optimize inputs, boost yields, and make farming more climate-resilient.
- Regenerative Agriculture for Adaptation: By restoring soil carbon and enhancing biodiversity, regenerative practices—tracked via geospatial platforms—can offset emissions and improve adaptation.
- Advanced Harvesting Technologies: Automation, GPS-guided machinery, and AI vision systems improve harvest efficiency and reduce post-harvest losses, this can greatly redefine productivity.
- Maintaining Food Security through Supply Chains: Geospatial tools strengthen food supply chains by enabling logistics planning, risk analysis, and climate impact forecasts- this will reduce losses during transportation and distribution.
Global Precision Agriculture Market
$9.86 bn
2024
$22.49 bn
2034
CAGR 8.59%
Source: Bis Research
Regenerative Practices
15%–25% RoI
For farmer including these practices
Source: BCG
Business Intelligence
Seminar
- Leveraging geospatial and satellite data for executive decision-making and competitive advantage
- Integrating Earth Observation (EO), GIS, and AI to generate actionable business insights
- Addressing digital sovereignty, data governance, and regulatory challenges in geo-analytics
- Future trends shaping geo-enabled business intelligence and enterprise platforms
- Optimizing mobility, logistics, and route planning using GIS and real-time traffic analytics
- Enhancing supply chain visibility, demand forecasting, and risk management with location intelligence
- Driving retail, hospitality, and marketplace growth through geospatial site selection and expansion analysis
- Mapping customer behavior and enabling location-based personalization across channels
- Applying geo-analytics to financial risk, fraud detection, climate resilience, and investment intelligence
- Executing geo-targeted marketing while balancing privacy, ethics, and regulatory compliance
Global business intelligence (BI) market
The global business intelligence (BI) market is experiencing rapid growth, valued at approximately $29-$32 billion in 2023-2024 and projected to exceed $54-$63 billion by 2030-2032, driven by a CAGR of 9% to 16%.
HD Mapping & Autonomy
Technical Track
- Cornerstone Technology: For advancement of autonomous vehicles, HD Mapping has enabled high-definition maps with details and precise representations of environments.
- Information Integration: Map generation, real-time updates, and the integration of HD maps with vehicle sensors and AI systems augments usability.
- Cloud-Native Mapping Infrastructure: HD Mapping pipelines increasingly rely on scalable cloud platforms that support parallel processing, global map distribution, and collaborative version control to manage constantly evolving spatial datasets.
- Localization-First Architecture: For autonomous navigation, HD Maps prioritize localization layers that offer detailed road geometry, landmarks, and lane-level metadata—enabling machines to accurately determine their position in complex environments.
- Maintaining Map Integrity: Map accuracy, data privacy concerns, and collaborative efforts can develop the required and standardised quality of maps for autonomous vehicles.
HD Mapping Global Market
$3 bn
2025
$20 bn
2032
CAGR 30.8%
Source: Fortune Business Insights
Markets for HD Mapping
Asia-Pacific is expected to be the fastest-growing region in the HD map market driven by increasing adoption of autonomous vehicles.
Source: Market Insights
Capacity Development
Summit
- From Training to Sovereignty: Strengthening national capacity ensures technological sovereignty and autonomy and enhances credibility of nations.
- Geospatial Skills as Economic Catalysts: Workforce development fuels startups, SMEs, and R&D ecosystems.
- Inclusive Capacity: Societal resilience depends on democratizing spatial data knowledge and access and thus capacity development must prioritize inclusive participation.
- Institutional Modernization: Enhancing national mapping agencies, disaster authorities, and local governance bodies with standards, data interoperability, and digital infrastructure is essential for holistic growth.
- Global Collaboration for Local Impact: Multilateral programs, industry should focus on mentorship, data sharing, and funding for skill-building in least-developed and urgent topics.
Geospatial Training
65% of countries need a dedicated geospatial education or training strategy
Source: UN-GGIM
Geospatial Skillset
70% of GIS professionals globally report a shortage of advanced technical skills, especially in AI, data ethics, and satellite analytics
Source: Geospatial World Trends Report
Space2Earth
Seminar
- Explore how Earth Observation and GNSS constellations transform agriculture, climate, security, infrastructure, and governance.
- Learn how spatial analytics and geospatial solutions drive cross-sectoral value creation.
- Discover transformative technologies like digital twins, big data, satellite broadband, and space-based AI.
- Gain insights into evolving investment landscapes and emerging FDI opportunities.
- Explore innovative business models fueling space and geospatial entrepreneurship.
- Highlight advancements in spatial computing, Earth Observation, and satellite systems.
- Understand how space innovations revolutionize disaster management, urban planning, and maritime security.
- Discuss real-time applications and technological breakthroughs shaping the future of space technologies.
Geospatial Sovereignty
80% of data has a location component, hence geospatial data sovereignty becomes crucial, especially concerning privacy, security, and governance.
Source: Zipdo
Data Sovereignty
As of 2025, 79% of countries have legislation on Privacy and Data Protection whereas 17% countries have no legislation
Source: UNCTAD
