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Artificial Intelligence Enabling the Global Geospatial Value-added Services Market

  • Report

  • 54 Pages
  • December 2020
  • Region: Global
  • Frost & Sullivan
  • ID: 5231175

New Products Integrating AI Models Create Growth Opportunities

The geospatial value-added services market is seeing an influx of new participants owing to cheaper satellite data products and services and enabling information and communication technologies. Established incumbents have to compete with not only these participants but also new customer groups arising from the evolution of new use cases.

The market’s uptake of artificial intelligence (AI) capabilities is bringing multiple disruptions. There is a rising need to better understand evolving customer requirements along with the potential impact of AI and the essentials of sustainable business models within the value-added services market. The convergence of geospatial and AI capabilities is driving the evolution of the geospatial services market. AI advancements are giving actionable intelligence access to existing and new customer groups. Expansion of sensing and transmission capabilities has converged the volume and velocity of datasets in geospatial solutions, driving the need for advanced AI to capture relevant data for creating and delivering useful intelligence. The increasing diversity of datasets entering geospatial solutions is also necessitating enhanced capabilities for differentiation and suitable data processing for relevant information output. AI capabilities are expected to meet such requirements, thus changing the geospatial value-added services landscape. AI is also expected to enhance the value of data in geospatial solutions, enabling solutions developers to achieve more insights through relevant data enrichment.

This study covers the impact of AI capabilities on the geospatial value-added services market. The discussion includes key industry trends, evolving requirements, future market predictions, and essentials of sustainable business models across key use cases. The study also covers relevant action points for geospatial value-added services market participants.

Table of Contents

Executive Dashboard
  • Purpose of this Experiential Study
  • 5-step Process to Transformational Growth
  • Strategic Imperatives for Geospatial Value-added Services Providers

Growth Environment - Market Overview
  • Geospatial Value-added Services Market - Overview of Services Provider Landscape
  • Large and Small Satellites - Planned & Installed Base
  • Market Evolution - Integration and Automation Driving Future Solutions
  • Drivers and Restraints
  • Drivers Explained
  • Restraints Explained

Visioning Scenarios
  • Macro-to-Micro Visioning
  • Trends/Factors Impacting the AI-driven Geospatial Value-added Services Market
  • Top Predictions for the AI-driven Geospatial Value-added Services Market

Growth Pipeline
  • Levers for Growth
  • AI and Geospatial ServicesAI capabilities enabling the evolution of next-generation geospatial intelligence services
  • Geospatial Solutions - Workflow and Impact of AI
  • Use Case Formats - Key Elements and Impact
  • Applying Artificial Intelligence Capabilities - Market Challenges & Opportunities

IBM’s AI Contributions to the Geospatial Domain
  • IBM Space Tech - Geo Observation
  • AI-enabled Geospatial Solution - IBM PAIRS-Geoscope
  • Case Study - IBM and OmniEarth, Inc
  • IBM Space Tech - Anomaly Detection
  • IBM Space Tech - Operator Support
  • IBM’s AI in Geospatial Domain - Other Use Cases

Vision and Strategy - Growth Opportunities
  • Growth Opportunity 1 - Marketing
  • Growth Opportunity 2 - Asset Management
  • Growth Opportunity 3 - Situational Awareness
  • Growth Opportunity 4 - Risk Management

Growth Strategy and Implementation
  • Success of Geospatial Business Models - Key Factors
  • Pointers for Successful Business Models - An Overview
  • Strategic Recommendations for Solutions Providers
  • Legal Disclaimer

  • List of Exhibits

Companies Mentioned

A selection of companies mentioned in this report includes:

  • IBM
  • OmniEarth Inc.