ANZ Geospatial Analytics Market Market Size (2024 - 2029)

ANZ Geospatial Analytics Market Analysis

The ANZ Geospatial Analytics Market size is estimated at USD 0.68 billion in 2024, and is expected to reach USD 1.05 billion by 2029, growing at a CAGR of 9.13% during the forecast period (2024-2029).

The ANZ geospatial analytics market is driven by the increasing demand from various public and private end-user industries, the presence of major market players, and the increasing demand for geospatial analytics in urban planning.

• The ANZ geospatial analytics ecosystem has witnessed substantial growth in the past couple of years owing to the growth in innovative geospatial analytics solutions by the market players and the increasing use of advanced technologies such as artificial intelligence(AI) and machine learning(ML) for meaningful insights from the geospatial data. 
• Moreover, the increasing use of location information to make informed decisions further drives the demand for geospatial capabilities and geospatial analytics solutions in the region.
• Market vendors in the region are using advanced technologies to offer innovative analytics capabilities in the geospatial domain, which is further analyzed to boost the demand for geospatial analytics solutions in the end-user industries across the region. For instance, Australia-based geospatial intelligence has considerable expertise in geospatial analysis, big data & link analytics, machine learning, artificial intelligence, and the development of effective user interfaces. 
• These skills allow the company to develop sophisticated and innovative geospatial analytical tools that automate the extraction of data and information from large data sets and display this information in a format that supports informed decision-making.
• The increasing availability and accessibility of geospatial data from satellites, sensors, etc., aided the market's growth, as the geospatial data can provide substantial informed decisions and valuable insights by leveraging geospatial analytics solutions in organizations across the region. For instance, the National mapping agency Land Information New Zealand (LINZ) focused on publishing detailed geospatial data that models New Zealand's built and natural environments. LINZ shares its datasets-from road and river data to aerial imagery and LiDAR-on data.linz.govt.nz.
• Further, in May 2023, Vexcel Data Program announced free access to aerial imagery in New Zealand and Australia through its web-based platform, Viewer. This no-cost access provides commercial and government users with high-resolution, highly accurate imagery of major metro areas such as Perth, Auckland, Sydney, Melbourne, Brisbane, Wellington, and Christchurch. Australian and New Zealand organizations are eligible to participate in this free offering. 
• Such factors are further expected to offer growth opportunities for the geospatial analytics market in the region over the forecast period. Such factors have driven organizations' demand for geospatial analytics solutions to maximize benefits and competitive edge from the spatial data from imagery, satellites, and sensors.

ANZ Geospatial Analytics Industry Segmentation

Geospatial analytics is the process of acquiring, manipulating, and displaying imagery and data from the geographic information system (GIS), such as satellite photos and global positioning system (GPS) data. The specific identifiers of a street address and a zip code are used in geospatial data analytics. They are used to create geographic models and data visualizations for more accurate trends modeling and forecasting.

The ANZ geospatial analytics market is segmented by type (surface analysis, network analysis, and geovisualization), by end-user vertical ( agriculture, utility and communication, defense and intelligence, government, mining and natural resources, automotive and transportation, healthcare, real estate and construction, and other end-user verticals), and by country (Australia and New Zealand). The market sizes and forecasts are provided in terms of value USD for all the above segments.