Geospatial Analytics Artificial Intelligence Market - Forecast (2021 - 2026)

Geospatial Analytics Artificial Intelligence Market

Overview

The Global Geospatial Analytics Artificial Intelligence Market is estimated to reach $160 million by 2025, growing at a CAGR of 32.5% from 2020 to 2025. Geospatial Analytics Artificial Intelligence generally called geospatial AI, GEOINT (geospatial intelligence) is the intersection of artificial intelligence and geospatial data. It collects and provides the geographical data for numerous geographical applications like weather centers, national labs and other agencies that specifically relay on these data for running their business. Owing to the use of geospatial AI real-time feedback can be given nowadays related to the surroundings for instance traffic congestion and many others with the help of just simple smartphone applications. The availability of massive computational power, advancement in the field of artificial intelligence predominantly machine learning and deep learning along with increased availability of geospatial data from satellites are driving the growth of the market.


Report Coverage

The report: “Geospatial Analytics Artificial Intelligence Market” – Forecast (2020-2025)”, by Industry ARC covers an in-depth analysis of the following segments of “Geospatial Analytics Artificial Intelligence Market”.
By Data Source – Global Navigation Satellite System (GNSS), Remote Sensing, Geo Tagging and Others
By Solution - Hardware, Software, Services
By Geospatial Data Model- Vector Data, Raster Data
By Machine Learning- Unsupervised Learning, Reinforced Learning, Supervised Learning, Deep Learning, Semi-Supervised Learning.
By Deployment- Cloud, On-Premises
By Application- Real Estate, Sales & Marketing, Coastal Application, Agriculture, Fraud Detection, Surveying, Hazard Assessment, Natural Resource Management, Transportation and Logistics, National Labs, Weather Centers, Defense Agencies, Insurance, Others
By Geography  - North America (U.S, Canada, Mexico), South America(Brazil, Argentina and others), Europe(Germany, UK, France, Italy, Spain, Russia and Others), APAC(China, Japan India, SK, Aus and Others), and RoW (Middle east and Africa)

Key Takeaways

  • Rise in adoption of Geospatial Analytics Artificial Intelligence tools owing to their wide range of applications like monitoring of real time geographical data, traffic congestions, spatial analytics and others are driving the growth of the market. 
  • The cloud deployment is dominating the market as the data integration can be done efficiently in the cloud with less complexity along with upsurge in use of cloud networks globally.
  • The APAC region is witnessing a significant growth in the market owing to the wide use of this solutions in the various  enterprises.


By Deployment- Segment Analysis 

By Deployment Geospatial Analytics Artificial Intelligence Market is segmented as Cloud and On- Premises. The Cloud based deployment is witnessing significant growth in the market. The Web GIS is widely being adopted and used as it is significantly easier to use, deploy and integrate than on-premises GIS. In recent years the use of smart phones have made the integration of geographical information much easier. The smart phone mobile apps traces location and routing, spatial analytics, smart mapping, field data collection and others which is only possible through the web geospatial AI. The real time geographical data used by devices for instance smart phones, vehicle sensors, imaging sensors on drones are majorly extracted from the cloud. These factors are fueling the growth of the market.

By Geospatial Data Model - Segment Analysis

By Geospatial Data Type the market is segmented into Raster Data and Vector Data. Vector Data Model is witnessing a significant growth in the market. Points and line segments are used by the vector data model to identify the locations on the Earth. The vector data comprises verticals and paths owing to which the end users find it much easier to find the data. The vector data model consist of points, lines and polygons owing to which the cartographers find these symbols to represent real world features in the maps. These factors are driving the growth of the market.


By Geography - Segment Analysis

The Global Geospatial Analytics Artificial Intelligence Market is dominated by APAC with a market share of 36.4% in 2019. The growth in use of geospatial analytics AI tools, growth in internet penetration, rise in the developing industrial sectors and growth in infrastructural developments are boosting the growth of the market. The growth of cellular networks and real time communication for the various applications for instance wireless broadband, mobile applications, GPS tracking and others are also driving the growth of the market in this region. Furthermore, ride sharing companies, Ola, Lyft, Uber and many others are also using it widely  for the purpose of  taking feedback from the customers and process the data to find out the density of cars and check the availability of drivers for ride. These factors are boosting the growth of the market.

Drivers – Geospatial Analytics Artificial Intelligence Market

Rise in the growth of geospatial analytics artificial intelligence due to its use in various applications:

One of the driving factor for upsurge of geospatial analytics intelligence tools are their versatile applications. In the communication from homes to workplaces and workplaces to home almost every day, the biggest problem is traffic congestion.  The problem of traffic congestion is easily solved by the use of GIS application. It is adopted in most of the enterprises as it helps in real time data integration. The geospatial AI applications helps the enterprises to improvise planning, resource allocation, decision making, multiplying supply chain efficiency, optimizing service delivery and other applications. The UAVs are used for variety of applications like inspection, mapping, surveillance, aerial videos and many other applications. All these applications of drones and UAVs are monitored through the use of geospatial analytics artificial intelligence. These factors are driving the growth of the market.

Rise in internet penetration:

The rise in internet penetration has enhanced the use of Geospatial AI solutions through, cloud based deployment and on-premises deployment. It is due to the high speed internet that real time monitoring of devices is possible nowadays through which communication is also possible. The geospatial AI applications are used in real time diagnosis of patients through wireless broadband. All this is possible owing to the presence of internet. The patient receives first aid through the consultation of doctors’ on-route to the hospital. The ambulances are installed with wireless connectivity which runs through the availability of high speed internet. Furthermore, the national labs are using these geospatial AI for managing the chaos of natural disasters, improvement of crisis mapping, weather condition predictions as it allows real time monitoring of all the geographical information. All these applications are possible owing to the presence of high speed internet in almost all the locations around the globe nowadays.  These factors are driving the growth of the market.


Challenges – Geospatial Analytics Artificial Intelligence Market

Cost related challenges:

Although the geospatial analytics artificial intelligence have many advantages owing to which these are used in various of applications such as natural resource management, coastal, marketing and others but the geospatial analytics artificial intelligence solutions are very costly. Owing to the high price of installation many small enterprises are unable to use these solutions. These factors are hindering the growth of the market.

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Location: United States

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