Скачать или смотреть Global Geospatial Analytics Market – Analysis and Forecast (2023 – 2030)

The global geospatial analytics market is anticipated to grow at a CAGR of 13.8 %, along with market valuation from USD 51.6 billion in 2022 to USD 97.3 billion in 2030. Technological advancement and the emergence of the latest technologies such as IoT (Internet of Things), big data, and artificial intelligence, as well as the exaggerated demand for the system by various companies in developed and developing economies, have driven the growth of the market. These developments have also enabled the integration of information systems with hybrid cloud computing environments.

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Factors that drive the growth of the market are the increase in the upgradation of geospatial analytics with the help of artificial intelligence and big data analytics. According to a recent report, it has been observed that about 80% of the data that is developed and deteriorated is in spatial form, artificial intelligence and automation technologies are adopted to make the data available for various other industries.

One of the key growth drivers for the geospatial analytics market is the increasing availability of geospatial data. With the proliferation of sensors, satellites, and connected devices, there is a massive volume of geospatial data being generated every day. This data provides valuable insights into various industries such as transportation, urban planning, agriculture, defense, and environmental monitoring.

Another growth driver is the advancements in technology, particularly in the fields of artificial intelligence (AI), machine learning (ML), and big data analytics. These technologies enable more efficient and accurate analysis of geospatial data, leading to improved decision-making and operational efficiency for businesses and organizations.

In addition, the increasing deployments of IoT is another factor driving the growth of the global geospatial analytics market. There are various sensors, such as scanners and cameras, that provide data to smart systems on a daily basis, including data related to transportation, healthcare, energy, and agriculture. Various industries are using this data to predict machine failures and automatically eliminate them before they become obsolete. In addition, the increasing popularity and advantages of these latest technologies are helping business enterprises to effectively carry out business operations, thereby propelling the growth of the global geospatial analytics market.

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