Houston, TX -- (SBWIRE) -- 08/06/2018 -- Our analysts forecast the Global Geospatial Analytics Artificial Intelligence Market to grow at a CAGR of +23% during the period 2018-2025.
Geospatial analysis is considered as the process of gathering, displaying and manipulating the images, GPS, satellite photography and historical data, which are described in terms of geographic coordinates, street address, postal codes and others. Artificial intelligence (AI), in contrast to natural intelligence, is the intelligence demonstrated by machines. Machine learning and machine vision among others, are considered as approaches to artificial intelligence. Various applications of artificial intelligence include geospatial analytics, big data analytics, autonomous driving, and drone analytics among others. Geospatial artificial intelligence or GEO AI is considered as a new form of machine learning, based on geography. Incorporating the geographical and location component in AI would serve multiple purposes. This report discusses the artificial intelligence applications in geospatial analytics segment.
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The study presents a qualitative and quantitative analysis of the global Geospatial Analytics Artificial Intelligence market, its key segments, regulatory landscape, competitive scenario, and recent developments. A detailed analysis of factors expected to drive and challenge the growth of the market as well as the trends that decide consumer inclination. The report utilizes a variety of primary and secondary research methodologies for gathering quantitative as well as qualitative data on global as well as regional fronts. With the help of a number of industry-best analytical methods, the vast amount of market data thus gathered is filtered and narrowed down to the details that matter the most to companies operating in the market or aspiring to enter it.
Key Players Profiled in this Report: Google, Esri, Geoblink, Aethon Technologies among others.
Regions Covered:
United States, North America, China, Europe, Japan, Southeast Asia and India.
Various segments have been taken into consideration to provide the readers a holistic view of the entire market scenario. The competitive landscape in consideration with the leading companies and the companies operating in the global Geospatial Analytics Artificial Intelligence market has been highlighted and researched upon minutely. Numerous geographies, where the market is operating successfully, have also been explained and so are the regions where the players might find lucrative opportunities in the future.
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The research publication presents an objective and comprehensive overview of the global Geospatial Analytics Artificial Intelligence market for the period 2018 to 2025, emphasizing on the definition, industry chain structure, application, classification, policy evaluation, industry overview, and news analysis of the global market. The overall global demand for the market over the report's forecast period forms the main focus of the report. Divided into a number of concise and in-depth chapters, the research study is supported with the help of a list of figures and tables that give clients a quantitative assessment of the global market.
The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.
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Table of Contents
Global Geospatial Analytics Artificial Intelligence Market Research Report 2018
Chapter 1 Global Geospatial Analytics Artificial Intelligence Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Geospatial Analytics Artificial Intelligence Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis