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Global Geospatial Imagery Analytics Market to reach USD 110.16 billion by the end of 2030.

Global Geospatial Imagery Analytics Market Size Study & Forecast, by Imaging Type (Video, Image), by Collection Medium (Geographic Information System, Satellite Imagery, Others), by Application (Weather Conditions Monitoring, Disaster Management, Urban Planning/Development, Natural Resource Exploration, Others), by End-user, and Regional Analysis, 2023-2030

Product Code: ICTNGT-33660960
Publish Date: 10-01-2024
Page: 200

Global Geospatial Imagery Analytics Market is valued at approximately USD 11.88 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 32.1% during the forecast period 2023-2030. Geospatial imagery analytics involves the examination and interpretation of geographical data sourced from various imaging platforms such as Geographic Information Systems (GIS), satellite imagery, UAVs, drones, and more. This technology enables the extraction of valuable information and insights about specific locations or regions. It is used in a wide range of applications including monitoring weather conditions, disaster management, urban planning, natural resource exploration, and optimizing sales and marketing strategies. The incorporation of artificial intelligence and machine learning technologies serves to augment the capabilities of geospatial imagery analytics, contributing to its widespread adoption across diverse sectors. The increase in geospatial imagery analytics technologies and, the surge in demand for location-based insights across diverse industries, coupled with a rising focus on data security and privacy are the most prominent factors that are propelling the market demand across the globe.

In addition, the growth of smart cities and the integration of Internet of Things (IoT) devices contribute to the demand for geospatial imagery analytics for managing urban infrastructure and services, which is fueling the market demand on a global scale. For instance, in December 2020, the Indian government launched the Smart City project, with a plan of deploying 100 smart cities in the region, by allocating INR 7,060 crores (USD 94.33 billion) for the same. Thus, government support is likely to play a critical role in the development and growth of the smart homes market. Similarly, According to Statistics China, the China government is aiming to become the leader in terms of smart city development as the government has aligned around 500 pilot projects considering the development & deployment of smart cities. The China Centre for Urban Development and HSBC has declared the creation of the United Kingdom and China’s joint smart cities growth and investment hub. Also, the Chinese government has allocated approximately USD 75.7 billion (RMB500 billion) for the deployment of smart city projects under China’s 13th five-year plan (2016-2020) which is expected to drive the establishment of smart cities. China targets to bring the urbanization rate to nearly 60% by 2020 which also acts as a pivotal factor towards creating a pathway for the adoption of smart homes. Moreover, overcoming the lacunae of conventional data collecting and tracking methods, as well as the rising implementation of 5G networks presents various lucrative opportunities over the forecasting years. However, the regulations and legal issues and the integration of geospatial imagery analytics data with enterprise solutions are hindering market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Geospatial Imagery Analytics Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising need for location-based insights across diverse industries, growing emphasis on innovations obtained from R&D and various technologies, and growing volumes of data, advancements in AI and big data technologies. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The growing urbanization driven by smart cities, and heightened agricultural demands are significantly propelling the market demand across the region. Numerous countries in the region are actively incorporating this technology to tackle urban planning, resource management, and environmental monitoring challenges. This surge in adoption is promoting the increased utilization of satellite imagery, remote sensing, and Geographic Information Systems (GIS) technologies.

Major market players included in this report are:
Hexagon AB (Sweden)
Satellogic (U.S.)
CAPE Analytics (U.S.)
Esri (U.S.)
Geoimage (Australia)
Maxar Technologies (U.S.)
TomTom International BV (Netherlands)
RMSI (India)
EOS Data Analytics, Inc. (U.S.)
Planet Labs PBC. (U.S.)

Recent Developments in the Market:
Ø In August 2023, onX, a digital navigation company, collaborated with Planet Labs PBC, a satellite imagery provider, to unveil a new feature known as ‘Recent Imagery.’ This enhancement provides users of the onX Hunt, onX Offroad, and onX Backcountry apps with updated satellite imagery maps every two weeks. The introduction of this feature aims to elevate the user experience for outdoor enthusiasts, offering real-time information and contributing to safer and more informed outdoor activities.
Ø In August 2023, Quant Data & Analytics, a company specializing in data products and enterprise solutions for real estate and retail, established a partnership with Satellogic Inc. This establishment involves leveraging Satellogic’s high-resolution satellite imagery to advance property technology in Saudi Arabia and the Gulf region.
Ø In May 2022, Satellogic Inc. announced that the company has entered a partnership with UP42, a geospatial developer platform.This partnership facilitates seamless access to Satellogic’s satellite tasking capabilities through the UP42 API-based platform, encompassing high-resolution multispectral and wide-area hyperspectral imagery.

Global Geospatial Imagery Analytics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Imaging Type, Collection Medium, Application, End-user, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Imaging Type:
Video
Image

By Collection Medium:
Geographic Information System (GIS)
Satellite Imagery
Others

By Application:
Weather Conditions Monitoring
Disaster Management
Urban Planning/Development
Natural Resource Exploration
Others

By End-user:
Defense & Security
Healthcare
Retail & Logistics
Government
Banking, Financial Services & Insurance (BFSI)
Mining/Manufacturing
Agriculture
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Geospatial Imagery Analytics Market, by Region, 2020-2030 (USD Billion)
1.2.2. Geospatial Imagery Analytics Market, by Imaging Type, 2020-2030 (USD Billion)
1.2.3. Geospatial Imagery Analytics Market, by Collection Medium, 2020-2030 (USD Billion)
1.2.4. Geospatial Imagery Analytics Market, by Application, 2020-2030 (USD Billion)
1.2.5. Geospatial Imagery Analytics Market, by End-user, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Geospatial Imagery Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Geospatial Imagery Analytics Market Dynamics
3.1. Geospatial Imagery Analytics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Surge in demand for location-based insights across diverse industries
3.1.1.2. Rising smart cities and the integration of Internet of Things (IoT) devices
3.1.2. Market Challenges
3.1.2.1. Regulations and legal issues
3.1.2.2. Integration of geospatial imagery analytics data with enterprise solutions
3.1.3. Market Opportunities
3.1.3.1. Overcoming the lacunae of conventional data collecting and tracking methods
3.1.3.2. Increasing implementation of 5G networks
Chapter 4. Global Geospatial Imagery Analytics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Geospatial Imagery Analytics Market, by Imaging Type
5.1. Market Snapshot
5.2. Global Geospatial Imagery Analytics Market by Imaging Type, Performance – Potential Analysis
5.3. Global Geospatial Imagery Analytics Market Estimates & Forecasts by Imaging Type 2020-2030 (USD Billion)
5.4. Geospatial Imagery Analytics Market, Sub Segment Analysis
5.4.1. Video
5.4.2. Image
Chapter 6. Global Geospatial Imagery Analytics Market, by Collection Medium
6.1. Market Snapshot
6.2. Global Geospatial Imagery Analytics Market by Collection Medium, Performance – Potential Analysis
6.3. Global Geospatial Imagery Analytics Market Estimates & Forecasts by Collection Medium 2020-2030 (USD Billion)
6.4. Geospatial Imagery Analytics Market, Sub Segment Analysis
6.4.1. Geographic Information System (GIS)
6.4.2. Satellite Imagery
6.4.3. Others
Chapter 7. Global Geospatial Imagery Analytics Market, by Application
7.1. Market Snapshot
7.2. Global Geospatial Imagery Analytics Market by Application, Performance – Potential Analysis
7.3. Global Geospatial Imagery Analytics Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
7.4. Geospatial Imagery Analytics Market, Sub Segment Analysis
7.4.1. Weather Conditions Monitoring
7.4.2. Disaster Management
7.4.3. Urban Planning/Development
7.4.4. Natural Resource Exploration
7.4.5. Others
Chapter 8. Geospatial Imagery Analytics Market, by End-user
8.1. Market Snapshot
8.2. Global Geospatial Imagery Analytics Market by End-user, Performance – Potential Analysis
8.3. Global Geospatial Imagery Analytics Market Estimates & Forecasts by End-user 2020-2030 (USD Billion)
8.4. Geospatial Imagery Analytics Market, Sub Segment Analysis
8.4.1. Defense & Security
8.4.2. Healthcare
8.4.3. Retail & Logistics
8.4.4. Government
8.4.5. Banking, Financial Services & Insurance (BFSI)
8.4.6. Mining/Manufacturing
8.4.7. Agriculture
8.4.8. Others
Chapter 9. Global Geospatial Imagery Analytics Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Geospatial Imagery Analytics Market, Regional Market Snapshot
9.4. North America Geospatial Imagery Analytics Market
9.4.1. U.S. Geospatial Imagery Analytics Market
9.4.1.1. Imaging Type breakdown estimates & forecasts, 2020-2030
9.4.1.2. Collection Medium breakdown estimates & forecasts, 2020-2030
9.4.1.3. Application breakdown estimates & forecasts, 2020-2030
9.4.1.4. End-user breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Geospatial Imagery Analytics Market
9.5. Europe Geospatial Imagery Analytics Market Snapshot
9.5.1. U.K. Geospatial Imagery Analytics Market
9.5.2. Germany Geospatial Imagery Analytics Market
9.5.3. France Geospatial Imagery Analytics Market
9.5.4. Spain Geospatial Imagery Analytics Market
9.5.5. Italy Geospatial Imagery Analytics Market
9.5.6. Rest of Europe Geospatial Imagery Analytics Market
9.6. Asia-Pacific Geospatial Imagery Analytics Market Snapshot
9.6.1. China Geospatial Imagery Analytics Market
9.6.2. India Geospatial Imagery Analytics Market
9.6.3. Japan Geospatial Imagery Analytics Market
9.6.4. Australia Geospatial Imagery Analytics Market
9.6.5. South Korea Geospatial Imagery Analytics Market
9.6.6. Rest of Asia Pacific Geospatial Imagery Analytics Market
9.7. Latin America Geospatial Imagery Analytics Market Snapshot
9.7.1. Brazil Geospatial Imagery Analytics Market
9.7.2. Mexico Geospatial Imagery Analytics Market
9.8. Middle East & Africa Geospatial Imagery Analytics Market
9.8.1. Saudi Arabia Geospatial Imagery Analytics Market
9.8.2. South Africa Geospatial Imagery Analytics Market
9.8.3. Rest of Middle East & Africa Geospatial Imagery Analytics Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Hexagon AB (Sweden)
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. Satellogic (U.S.)
10.3.3. CAPE Analytics (U.S.)
10.3.4. Esri (U.S.)
10.3.5. Geoimage (Australia)
10.3.6. Maxar Technologies (U.S.)
10.3.7. TomTom International BV (Netherlands)
10.3.8. RMSI (India)
10.3.9. EOS Data Analytics, Inc. (U.S.)
10.3.10. Planet Labs PBC. (U.S.)
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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Data Collection:
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In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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