세계의 지리공간 분석 AI 시장 보고서(2025년)
Geospatial Analytics AI Global Market Report 2025
상품코드 : 1686490
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

지리공간 분석 AI 시장 규모는 향후 수년간 비약적으로 성장할 것으로 예상됩니다. 예측 기간의 성장은 토지 이용 변화, 도시 확장, 민간 농업 관행의 증가, AI의 혁신적인 사용, 원격 감지의 발전에 대한 예측에 기인할 수 있습니다. 예측기간의 주요 동향에는 AI와 ML의 이용 증가, 클라우드 기반 플랫폼의 상승, 용도의 확대, 의사결정의 강화, 재해 대비와 대응의 개선 등이 포함됩니다.

지리공간 분석 AI 시장은 주로 인터넷 보급률이 증가함에 따라 성장이 예상됩니다., 정보 접근, 커뮤니케이션, 경제 기회를 촉진하는 중요한 요인이 되고 있습니다. 보다 충분한 서비스를 받지 않은 지역의 접속성을 향상시키고 디지털 인클루전을 개선하기 위한 자원 배분을 최적화하기 위한 적극적인 개입과 인프라 개발이 가능하게 됩니다. 국제 전기 통신 연합(ITU)에 따르면 2022년 전 세계 인터넷 보급률은 세계 인구의 약 66%에 달했으며, 이는 전년 대비 6.1% 성장한 수치입니다.

지리공간 분석 AI 시장의 주요 기업은 시나리오 계획 및 모니터링을 위한 지리공간과 AI 플랫폼 등의 선진기술을 적극적으로 개발하고 있습니다. 2024년 1월, 델로이트 토우 슈토마츠 리미티드는 버텍스 AI의 생성형 AI 기술을 활용하여 구글 클라우드에 의한 지리공간과 AI 플랫폼을 이 플랫폼은 토지 이용에 대한 통찰력을 제공함으로써 재해 대응, 인프라 개발, 도시 계획 등의 계획 프로세스의 개선을 지원해, 보다 지속 가능한 의사 결정에 공헌합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별, 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Geospatial analytics artificial intelligence (AI) involves the incorporation of AI techniques and algorithms to analyze and derive insights from geospatial data. In this context, geospatial analytics AI systems process extensive geographical data to extract meaningful patterns, trends, and correlations. By doing so, these systems empower organizations to make data-driven decisions and address complex spatial problems across various domains. The integration of AI in geospatial analytics enhances the efficiency and accuracy of processing and interpreting geographic information, enabling more informed decision-making in areas such as urban planning, environmental monitoring, and resource management.

The main types of geospatial analytics AI include navigation satellite systems (GNSS), remote sensing, geo-tagging, and others. Navigation satellite systems (GNSS) constitute a network of satellites providing positioning, navigation, and timing data to users on or near the Earth's surface. Solutions within this domain encompass various types such as hardware, software, and services, and can be deployed both on the cloud and on-premises. Geospatial analytics AI is utilized across diverse applications, including real estate, sales and marketing, coastal applications, agriculture, fraud detection, surveying, hazard assessment, natural resource management, transportation and logistics, national labs, and more. These applications showcase the versatility and broad impact of geospatial analytics AI across numerous industries.

The geospatial analytics AI market research report is one of a series of new reports from The Business Research Company that provides geospatial analytics AI market statistics, including geospatial analytics AI industry global market size, regional shares, competitors with a geospatial analytics AI market share, detailed geospatial analytics AI market segments, market trends and opportunities, and any further data you may need to thrive in the geospatial analytics AI industry. This geospatial analytics AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The geospatial analytics ai market size has grown exponentially in recent years. It will grow from $0.11 billion in 2024 to $0.14 billion in 2025 at a compound annual growth rate (CAGR) of 31.2%. The growth in the historic period can be attributed to growth of AI in various industries, increased necessity for surveillance and monitoring, rapid implementation of AI solutions, advancements in machine learning, growing demand for efficient operations.

The geospatial analytics ai market size is expected to see exponential growth in the next few years. It will grow to $0.42 billion in 2029 at a compound annual growth rate (CAGR) of 31.0%. The growth in the forecast period can be attributed to predictions about changes in land use, urban expansion, rise in private agricultural practices, AI's transformative usage, advancements in remote sensing. Major trends in the forecast period include increased use of ai and ml, rise of cloud-based platforms, expansion of applications, enhanced decision making, improved disaster preparedness and response.

The geospatial analytics AI market is anticipated to experience growth, primarily driven by the increasing growth in internet penetration. Internet penetration, representing the percentage of the population or a specific demographic group with access to the internet, has become a key factor in facilitating widespread connectivity, information access, communication, and economic opportunities. Geospatial analytics AI plays a pivotal role in analyzing and understanding spatial patterns of internet usage. This technology enables targeted interventions and infrastructure development to enhance connectivity in underserved areas and optimize resource allocation for improved digital inclusion. According to the International Telecommunication Union (ITU), global internet penetration reached an estimated 66% of the world's population in 2022, marking a 6.1% growth over the previous year. The anticipated growth in internet penetration is expected to drive the expansion of the geospatial analytics AI market.

Leading companies in the geospatial analytics AI market are actively developing advanced technologies, including geospatial and AI platforms for scenario planning and monitoring. These platforms combine geospatial technology with artificial intelligence (AI) to analyze and interpret data related to geographic locations. AI enhances the computational power and predictive abilities of this framework, allowing the extraction of valuable insights from vast amounts of geospatial data. In January 2024, Deloitte Touche Tohmatsu Limited launched a geospatial and AI platform powered by Google Cloud, utilizing generative AI technology from Vertex AI. This platform aids clients in improving planning processes for disaster response, infrastructure development, and urban planning by providing insights on land use, contributing to more sustainable decision-making.

In February 2022, AiDash Inc., a US-based technology company, acquired Neurafarms.ai to strengthen its position in leveraging satellites and AI to revolutionize operations, maintenance, and sustainability for core industries. This strategic acquisition enhances AiDash's capabilities, particularly in data science and remote sensing, allowing for the improvement of existing products such as the Disaster and Disruption Management System (DDMS). Neurafarms.ai, based in India, specializes in providing geospatial and AI-backed farming solutions through a cloud-based platform.

Major companies operating in the geospatial analytics AI market are Alphabet Inc., Microsoft Corporation, Amazon.com Inc., Intel Corporation, IBM Corporation, Oracle Corporation, SAP SE, Presto Automation Inc., NVIDIA Corporation, Baidu Inc., Hexagon AB, Trimble Inc., DigitalGlobe Inc., Environmental Systems Research Institute Inc., Bentley Systems Inc., Databricks Inc., CE Info Systems Ltd., Dataiku Inc., Climate X, Genesys International Corporation Ltd., Geoblink SL, L3Harris Geospatial Solutions Inc., Climate X Ltd., Chloris Geospatial Inc., Skydweller Aero Inc.

Asia-Pacific was the largest region in the geospatial analytics AI market in 2024. The regions covered in the geospatial analytics ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the geospatial analytics ai market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The geospatial analytics AI market includes revenues earned by entities by providing services such as spatial data processing, predictive modeling, real-time monitoring, and image recognition and analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The geospatial analytics AI market consists of sales of GPS (Global Positioning System) receivers, light detection and ranging (LiDAR) scanners, cameras, and unmanned aerial vehicles (UAVs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Geospatial Analytics AI Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on geospatial analytics ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for geospatial analytics ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The geospatial analytics ai market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Geospatial Analytics AI Market Characteristics

3. Geospatial Analytics AI Market Trends And Strategies

4. Geospatial Analytics AI Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Geospatial Analytics AI Growth Analysis And Strategic Analysis Framework

6. Geospatial Analytics AI Market Segmentation

7. Geospatial Analytics AI Market Regional And Country Analysis

8. Asia-Pacific Geospatial Analytics AI Market

9. China Geospatial Analytics AI Market

10. India Geospatial Analytics AI Market

11. Japan Geospatial Analytics AI Market

12. Australia Geospatial Analytics AI Market

13. Indonesia Geospatial Analytics AI Market

14. South Korea Geospatial Analytics AI Market

15. Western Europe Geospatial Analytics AI Market

16. UK Geospatial Analytics AI Market

17. Germany Geospatial Analytics AI Market

18. France Geospatial Analytics AI Market

19. Italy Geospatial Analytics AI Market

20. Spain Geospatial Analytics AI Market

21. Eastern Europe Geospatial Analytics AI Market

22. Russia Geospatial Analytics AI Market

23. North America Geospatial Analytics AI Market

24. USA Geospatial Analytics AI Market

25. Canada Geospatial Analytics AI Market

26. South America Geospatial Analytics AI Market

27. Brazil Geospatial Analytics AI Market

28. Middle East Geospatial Analytics AI Market

29. Africa Geospatial Analytics AI Market

30. Geospatial Analytics AI Market Competitive Landscape And Company Profiles

31. Geospatial Analytics AI Market Other Major And Innovative Companies

32. Global Geospatial Analytics AI Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Geospatial Analytics AI Market

34. Recent Developments In The Geospatial Analytics AI Market

35. Geospatial Analytics AI Market High Potential Countries, Segments and Strategies

36. Appendix

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