LiDAR & Scanning

Technical Session

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 Session

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

$209.6 bn

2023

$78.5 bn

2032

CAGR 11.6%.

Global Data Science Platform Market

$447 bn

2030

CAGR 25%

Source: Precedence Research

Spatial Computing & Digital Twin

Technical Session

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 Session

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) Summit

2 Days Program

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

2 Days Program

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 Summit

2 Days Program

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

2 Days Program

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

1 Day Program

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

1 Day Program

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 Summit

1 Day Program

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

Land & Property

1 Day Program

Digitalisation of Land Records for Inclusive Access: Globally land record management requires interoperability, AI & Data Science adoption, to create citizen-facing platforms to secure land rights.
Economic Growth through Real Estate Transparency: Reliable and accurate land registry, real estate investment, credit access, and infrastructure development facilitates growth of this industry which requires digital and geospatial frameworks to unlock its full potential.
Land Economy and Fiscal Planning: Land-based financing (e.g., property tax, land value capture) remains underutilized in many economies. Geospatial land valuation and digital tax records can enhance fiscal autonomy at the local level.
Monitoring and Administration through Emerging Tech: AI, IoT, and Earth observation enable real-time monitoring of land use, encroachments, and compliance.
Land Governance is Central to Climate Mitigation: land policy reforms are deeply influenced by the political and economic contexts of each country or region.

Global PropTech Market

$1.7 tn

2030

Driven by digital transformation in real estate and land governance

Source: Statista, PwC

Land Disputes

90% property disputes in developing nations stem from poor land records and overlapping claims

Source: UN Habitat

HD Mapping & Autonomy

Technical Session

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

2 Days Program

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

Space & Geospatial Sovereignty

1 Day Program

Geospatial Sovereignty is Strategic Sovereignty: Control over geospatial data is directly tied to national security, resource control, and territorial integrity.
Data Integrity, Privacy & Governance: New policies and regulatory frameworks specific to geospatial data ethics and access- they will respond to the question of data ownership and utilisation.
Interoperability vs. Fragmentation: The challenge is to balance open access and shared protocols with national control and licensing — avoiding fragmentation of global geospatial ecosystems.
Cloud & Platform Dependence in Geospatial Analytics: Countries must invest in domestic cloud capacity, AI models trained on national data, and open-source geospatial solutions to retain control.
Economic Sovereignty and Value Capture: Building national geospatial platforms can enable local innovation, generate economic resilience, and foster digital independence.