I-Geospatial Analytics
I-SaaS Browser ilandelela izinkampani zesofthiwe ze-744 I-Geospatial Analytics, kanti i-38 ingeziwe ezinsukwini ezingu-30 ezedlule. Amazwe aphezulu e-I-Geospatial Analytics SaaS afaka phakathi i-United States (170), United Kingdom (39), Canada (30).
Amaphuzu Edatha Abalulekile e-I-Geospatial Analytics
744
Isofthiwe Ephelele1
38
Okusha (Izinsuku ezingu-30 ezedlule)2
24
Izinhlelo Zokuxhumana3
9
Iminyaka Emaphakathi (Iminyaka)4
+359
Okusha (Izinsuku ezingu-365 ezedlule)5
122
I-Churned (Unyaka Odlule)6
25.4%
Izinga Lonyaka Lokukhushulwa7
27.8%
Isivivinyo Samahhala8
Ukusatshalaliswa Kosayizi Wenkampani9
10
Ibhizinisi (1,000+)
3.2% kwesamba
17
Okukhulu (201-1,000)
5.5% kwesamba
49
Usayizi Ophakathi (51-200)
15.9% kwesamba
233
Okuncane (2-50)
75.4% kwesamba
Izinkampani Ezise-I-Geospatial Analytics Ezisungulwe Kakhulu
| Inkampani | Abasebenzi | Izinga Lesizinda | Yasungulwa | Kungeziwe |
|---|---|---|---|---|
| Esri | 10,000 | 67 | 1969 | 2025-02-28 |
| Google Maps | — | 59 | — | 2025-02-12 |
| HERE | 10,000 | 59 | — | 2025-02-07 |
| IPinfo | 200 | 57 | 2013 | 2025-02-12 |
| Planet | 1,000 | 57 | — | 2025-02-28 |
| Google Earth Engine | — | 56 | — | 2025-02-28 |
| EOSDA | 200 | 55 | 2014 | 2025-02-07 |
| Scribble Maps | — | 55 | — | 2025-02-07 |
| Avenza Maps | 200 | 50 | 1995 | 2025-02-28 |
| Spire | 500 | 49 | 2012 | 2025-02-28 |
Amazwe ayi-10 aphezulu e-I-Geospatial Analytics SaaS
Amazwe alandelayo amelela lapho izinkampani eziningi ze-I-Geospatial Analytics SaaS zinezinhloko zazo, ngokusekelwe kudatha yethu yemikhiqizo yesofthiwe ye-744.
| Izwe | Bala | % wesamba |
|---|---|---|
| United States | 170 | 22.8% |
| United Kingdom | 39 | 5.2% |
| Canada | 30 | 4.0% |
| Australia | 24 | 3.2% |
| India | 19 | 2.6% |
| Germany | 13 | 1.7% |
| Switzerland | 11 | 1.5% |
| Netherlands | 10 | 1.3% |
| France | 9 | 1.2% |
| United Arab Emirates | 7 | 0.9% |
I-SEO kanye ne-Domain Authority ye-I-Geospatial Analytics
Isilinganiso Sesizinda10
15
uma kuqhathaniswa nesilinganiso esiphelele se-8
Izizinda Ezibhekisela Ezimaphakathi11
7
uma kuqhathaniswa nesilinganiso esiphelele se-2
Idatha yamanani e-I-Geospatial Analytics
Intengo Ephakathi Yokuqala (i-USD)12
$20/ngenyanga
Intengo Ephakeme Emaphakathi (i-USD)13
$99/ngenyanga
Ukugcwala Kwemakethe kwe-I-Geospatial Analytics
Leli phuzu libalwa kusukela ekuhlanganisweni kwemikhiqizo iyonke, igunya lesizinda, izizinda ezibhekisela kuzo, ubudala benkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwebhizinisi.
Isikolo Sokugcwalisa14
61 / 100 (Okuphakathi nendawo)
Izinhlelo Zokubambisana ku-I-Geospatial Analytics
24 I-Geospatial Analytics Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo (3.2% yenani eliphelele).
Ikhomishini Ejwayelekile15
18%
Ukusatshalaliswa Kohlobo Lwekhomishini
Isikhathi esisodwa
1
Okuphindaphindayo
3
Okusanda Kwengezwa i-I-Geospatial Analytics SaaS
NewRoads
Kungezwe i-2026-07-18
Prismo
Kungezwe i-2026-07-18
GeoPatrol
Kungezwe i-2026-07-17
Scope
Kungezwe i-2026-07-17
ApexRMS
Kungezwe i-2026-07-15
Sharpe Blue
Kungezwe i-2026-07-15
Pinn Ai
Kungezwe i-2026-07-15
SpatioSynth
Kungezwe i-2026-07-14
Voxelaro
Kungezwe i-2026-07-13
RrAD
Kungezwe i-2026-07-13
Isilinganiso Seminyaka Yezinkampani ze-SaaS ze-I-Geospatial Analytics
Inkampani ejwayelekile ye-I-Geospatial Analytics SaaS yasungulwa eminyakeni engu-9.0 eyedlule (isilinganiso sonyaka wokusungulwa: 2017).
Ukuhlukaniswa kwe-B2B / B2C kwe-I-Geospatial Analytics16
157
Kokubili i-B2B ne-B2C
21.2%
579
Ibhizinisi (B2B)
78.0%
6
Umthengi (B2C)
0.8%
Kususelwa ezinkampanini ze-742 ezinedatha yohlobo lwabathengi (99.7% yenani eliphelele).
Ithrendi Yokutholwa Kwe-SaaS ye-I-Geospatial Analytics
Inani lokusakazwa lwe-SaaS lenyanga zonke ye-I-Geospatial Analytics uma kuqhathaniswa nengxenye yayo ye-SaaS yonke etholakele. Iphesenti elikhulayo likhombisa ukuthi lesi sigaba sikhula ngokushesha kunemakethe jikelele.
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Thola i-I-Geospatial Analytics SaaS
Bonisa Izihlungi
Izihlungi Ezithuthukile
X
Ciholas
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This system utilizes ultra-wideband (UWB) technology to provide real-time, highly accurate asset tracking and location management across expansive and complex environments. Its main features include lightweight and versatile tags for asset identification, fixed anchor points that establish precise reference locations, and software with comprehensive documentation, technical support, and insights, all designed to deliver centimeter-level accuracy at high update rates with minimal latency. It addresses problems related to asset loss, inefficient inventory management, and lack of real-time visibility by enabling organizations, such as warehouses, manufacturing plants, and logistics providers, to monitor and manage their assets efficiently, improve operational productivity, and reduce costs through precise, fast, and scalable location solutions.
Warehouse & Inventory Management
Isigaba salolu hlu.
Industrial Automation
Isigaba salolu hlu.
Satelytics
Le SaaS iyathrenda! Sithole ukukhula kwethrafikhi kwanyanga zonke.This geospatial analytics platform harnesses artificial intelligence to continuously monitor assets using multispectral and hyperspectral imagery, detecting early signals of leaks, land movement, methane emissions, chemical contamination, and other risks, and delivering precise location, severity, and actionable alerts. Its features include scalable cloud-based visualization, real-time alerts with exact geolocation, spectral analysis automation, trend analysis, regulatory compliance monitoring, and cross-device access, enabling rapid response, cost containment, and reduced environmental impact for industries such as oil and gas, pipelines, power utilities, water and wastewater, mining, forestry, and specialty chemicals.
Geospatial Analytics
Isigaba salolu hlu.
Geoteric
Le SaaS iyathrenda! Sithole ukukhula kwethrafikhi kwanyanga zonke.Geoteric offers advanced 3D seismic interpretation software designed for the oil and gas industry, utilizing AI technology to enhance geological analysis. This innovative solution helps energy companies reduce costs, increase efficiency, and improve decision-making by providing a deeper understanding of subsurface data.
Geospatial Analytics
Isigaba salolu hlu.
A scalable location-data platform enables search, analysis, and action on location-based information by delivering direct-source, privacy-compliant datasets of unmatched accuracy and reliability, so you own the answers and can act with confidence. Key features include ingestion speeds over one billion records per minute, turnkey data management, unlimited refined search and workflow capabilities that let a single analyst do the work of ten, enhanced discovery through smarter questioning, and access to global historical datasets on demand for intelligence, military, and commercial teams seeking faster, smarter insights and mission-ready outcomes.
Geospatial Analytics
Isigaba salolu hlu.
This web-based platform functions as an environmental analysis, planning, and reporting tool designed to support sustainable land use, conservation planning, and regional resilience efforts. It offers key features such as interactive dashboards, data analysis for habitat connectivity, climate change impacts, water quality, flood risk mitigation, and urban greening, addressing issues like habitat loss, biodiversity protection, water management, and climate adaptation. It is primarily intended for conservation organizations, urban planners, developers, environmental professionals, and policymakers seeking to integrate natural infrastructure into land development and policy decisions, ultimately aiming to enhance ecological health, climate resilience, and community well-being.
Geospatial Analytics
Isigaba salolu hlu.
This innovative platform provides hyper-accurate geolocation services, enabling businesses to enhance customer engagement, optimize operations, and ensure compliance through advanced geofencing and mapping capabilities. Key features include real-time location tracking, customizable geofences, and robust APIs for seamless integration, addressing challenges in fraud prevention, delivery logistics, and personalized marketing for industries such as retail, travel, and gaming.
Geospatial Analytics
Isigaba salolu hlu.
A scalable location-data platform enables search, analysis, and action on location-based information by delivering direct-source, privacy-compliant datasets of unmatched accuracy and reliability, so you own the answers and can act with confidence. Key features include ingestion speeds over one billion records per minute, turnkey data management, unlimited refined search and workflow capabilities that let a single analyst do the work of ten, enhanced discovery through smarter questioning, and access to global historical datasets on demand for intelligence, military, and commercial teams seeking faster, smarter insights and mission-ready outcomes.
Geoalert is an advanced AI mapping and geoanalytics platform that transforms satellite and aerial imagery into actionable insights, enabling faster decision-making and enhanced awareness. With tools designed for urban planning, powerline management, and telecom mapping, users can leverage deep learning and geospatial analysis to optimize their operations and strategies.
Geospatial Analytics
Isigaba salolu hlu.
Paradise
Le SaaS iyathrenda! Sithole ukukhula kwethrafikhi kwanyanga zonke.Geophysical Insights offers advanced AI tools for reservoir characterization, helping geoscientists and engineers improve their workflows. The Paradise AI Workbench enables users to extract detailed geological information, detect faults, and produce accurate interpretations more efficiently than traditional methods.
Geospatial Analytics
Isigaba salolu hlu.
This website offers a free and scalable geocoding API that helps businesses and developers access accurate location data for global addresses and coordinates. With coverage of over 2 billion addresses and the ability to handle more than 1 billion requests daily, it provides a fast and reliable solution for geocoding needs.
Intengo:
$9.99-$0/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Geospatial Analytics
Isigaba salolu hlu.
Gravity Forms Geolocation enhances forms with advanced location features, providing tools for seamless geolocation and mapping. Users can easily integrate various geolocation fields, such as address, map, and coordinates, to streamline location-based data collection and improve user experience.
Intengo:
$55-$179/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Geospatial Analytics
Isigaba salolu hlu.
* Ezinye noma zonke izingxenye zaleli khasi zingase zenziwe i-AI, ngakho-ke sicela uqinisekise noma yiluphi ulwazi olubalulekile ngokuzimela.
imibuzo ejwayelekile ukubuzwa
Zingaki izinkampani ze-I-Geospatial Analytics SaaS ezikhona?
Isiphequluli se-SaaS silandelela imikhiqizo yesofthiwe ye-744 I-Geospatial Analytics kusukela ku-July 2026. Izinkampani ezintsha ze-38 I-Geospatial Analytics ze-SaaS zengezwe ezinsukwini ezingu-30 ezedlule.
Zingaki izinkampani ezintsha ze-I-Geospatial Analytics SaaS ezingezwayo njalo ngenyanga?
Izinkampani ezintsha ze-38 I-Geospatial Analytics SaaS zengezwe ku-SaaS Browser ezinsukwini ezingu-30 ezedlule. Ingqalasizinda yethu yokukhasa eyimfihlo iyaqhubeka nokuthola imikhiqizo emisha yesofthiwe.
Yiziphi izinkampani ze-I-Geospatial Analytics SaaS ezisungulwe kakhulu?
Izinkampani ze-I-Geospatial Analytics SaaS ezidumile kakhulu ngokwegunya lesizinda zifaka phakathi i-Esri, Google Maps, HERE, IPinfo, Planet. Lezi zinkampani zimele amaphuzu aphezulu kakhulu esizinda esigabeni se-I-Geospatial Analytics.
Ungakanani usayizi wenkampani ojwayelekile we-I-Geospatial Analytics SaaS?
Phakathi kwezinkampani ze-I-Geospatial Analytics SaaS ezinemininingwane yabasebenzi, ukusatshalaliswa kosayizi yilokhu: - 10 (3.2%), - 17 (5.5%), - 49 (15.9%), - 233 (75.4%).
Iyini igunya elijwayelekile lesizinda sezinkampani ze-I-Geospatial Analytics SaaS?
Isilinganiso sesizinda sezinkampani ze-I-Geospatial Analytics SaaS singu-15, uma kuqhathaniswa nesilinganiso se-SaaS sisonke esingu-8. Lezi zinkampani zinesilinganiso sama-domain abhekisela ku-7.
Yimaphi amazwe anezinkampani ze-SaaS ze-I-Geospatial Analytics eziningi kakhulu?
Amazwe aphezulu e-I-Geospatial Analytics SaaS yilawa: United States (170), United Kingdom (39), Canada (30), Australia (24), India (19). Lawa amelela amazinga amakhulu ezinkampani zesofthiwe ze-I-Geospatial Analytics emhlabeni jikelele.
Yimaphi amaphesenti ezinkampani ze-I-Geospatial Analytics ze-SaaS ezinikeza izinhlelo zokubambisana?
24 I-Geospatial Analytics Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo, ezimele i-3.2% yazo zonke izinhlelo ze-I-Geospatial Analytics ezilandelwa yi-SaaS Browser. Izinga elimaphakathi lekhomishini lingu-18%.
Ingakanani iminyaka yobudala yezinkampani ze-I-Geospatial Analytics SaaS?
Inkampani ejwayelekile ye-I-Geospatial Analytics SaaS yasungulwa eminyakeni engu-9.0 eyedlule, kanti isilinganiso sonyaka wokusungulwa kwayo sasingu-2017.
Ingabe izinkampani ze-I-Geospatial Analytics SaaS zisebenza kakhulu njenge-B2B noma i-B2C?
Ngokusekelwe kudatha etholakalayo, izinkampani ze-I-Geospatial Analytics SaaS zihlukaniswa kanje: Kokubili i-B2B ne-B2C (21.2%), Ibhizinisi (B2B) (78.0%), Umthengi (B2C) (0.8%).
Yiziphi izinkampani ezintsha ze-I-Geospatial Analytics SaaS?
Izinkampani ze-I-Geospatial Analytics SaaS ezisanda kutholakala zifaka phakathi i-NewRoads, Prismo, GeoPatrol, Scope, ApexRMS. I-SaaS Browser ithola futhi ibhale imikhiqizo emisha yesofthiwe njalo isebenzisa ingqalasizinda yokukhasa eyimfihlo.
Mayelana nesiphequluli se-SaaS
I-SaaS Browser iyisizindalwazi se-SaaS esikhulu kunazo zonke nesisesikhathini kakhulu ku-inthanethi - ithuluzi lokuhlola nokucwaninga eliphelele lezinkampani ze-SaaS.
Sithola amathuluzi amasha ngemva kwamasonto okwethulwa, ngaphambi kokuba avele ku-Apollo, ZoomInfo, noma kwezinye izizindalwazi. Ipulatifomu yethu eyakhelwe ngenhloso ilandelela kuphela imikhiqizo yesofthiwe yangempela enedatha eqinisekisiwe, ngokungafani namathuluzi okuhlola ajwayelekile angcoliswe yizinhlangano, izinhlangano zokubonisana, kanye nohlu oluphelelwe yisikhathi.
Kusukela emabhizinisini e-Fortune 500 kuya ezinkampanini ezintsha eziqaliswe kuleli sonto - uma kuyi-SaaS, siyayilandela.
Indlela lezi zinombolo ezibalwa ngayo
- Isofthiwe Ephelele. Inani lezinkampani ze-SaaS ezishicilelwe njengamanje ezisohlwini lalokhu okukhethiwe. Izinkampani eziphasa ukuhlola kwethu kwekhwalithi okuzenzakalelayo kuphela ezibalwayo.
- Okusha (Izinsuku ezingu-30 ezedlule). Inani eliyiqiniso lezinkampani ze-SaaS ezisanda kushicilelwa kulokhu okukhethiwe ezinsukwini ezingu-30 ezedlule.
- Izinhlelo Zokuxhumana. Inani lezinkampani ze-SaaS ezisohlwini ezisebenzisa uhlelo lokuxhumana noma lokudlulisa oluqinisekisiwe.
- Iminyaka Emaphakathi (Iminyaka). Iminyaka ephakathi, ngeminyaka, yezinkampani kulokhu okukhethiwe, ngokusekelwe onyakeni wokusungulwa. Iphakathi liyinani eliphakathi, ngakho-ke uhhafu badala futhi uhhafu basebancane.
- Okusha (Izinsuku ezingu-365 ezedlule). Inani lezinkampani ze-SaaS ezishicilelwe kulokhu okukhethiwe ezinsukwini ezingu-365 ezedlule.
- I-Churned (Unyaka Odlule). Izinkampani ezishicilelwe phakathi nonyaka odlule ezingasekho ohlwini — zaya offline, zasuswa, noma zayeka ukudlula ekuhloleni kwethu kwekhwalithi.
- Izinga Lonyaka Lokukhushulwa. Izinga lokushona lonyaka — izinkampani ezishonile njengephesenti lazo zonke izinkampani ezishicilelwe onyakeni odlule (ezisesohlwini kanye nezishonile).
- Isivivinyo Samahhala. Iphesenti lezinkampani ezisohlwini kulokhu okukhethiwe ezinikeza ukulingwa kwamahhala.
- Ukusatshalaliswa Kosayizi Wenkampani. Ukusatshalaliswa kwezinkampani ngenani labasebenzi: oyedwa (1), encane (2–50), ephakathi (51–200), enkulu (201–1,000), ye-enthaphrayizi (1,000+). Amaphesenti angawezinkampani ezinedatha yabasebenzi.
- Isilinganiso Sesizinda. Izinga lesizinda eliphakathi (0–100) kuzo zonke izinkampani ezisohlwini, isilinganiso segunya lenjini yokusesha. Eliphezulu liqine kakhulu. Liboniswa lingelinye nephakathi eliphelele kuzo zonke ze-SaaS ukuze kuqhathaniswe.
- Izizinda Ezibhekisela Ezimaphakathi. Inani eliphakathi lezizinda eziyingqayizivele ezibhekisela (amasayithi angaphandle ahlukene axhuma enkampanini) kuzo zonke izinkampani ezisohlwini.
- Intengo Ephakathi Yokuqala (i-USD). Intengo yanyanga yokungena ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
- Intengo Ephakeme Emaphakathi (i-USD). Intengo yanyanga eliphakeme ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
- Isikolo Sokugcwalisa. Isikolo sokugcwala kwemakethe esingu-0–100 esihlanganisa imikhiqizo ephelele, igunya lesizinda, izizinda ezibhekisela, iminyaka yenkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwe-enthaphrayizi. Eliphezulu lisho ukuncintisana okukhulu.
- Ikhomishini Ejwayelekile. Izinga lekhomishini lokuxhumana eliphakathi elinikezwa izinkampani kulokhu okukhethiwe ezisebenzisa uhlelo lokuxhumana.
- Ukuhlukaniswa kwe-B2B / B2C. Ukuhlukaniswa kwezinkampani ngokwemakethe okuqondiwe — ibhizinisi (B2B), umthengi (B2C), noma kokubili — phakathi kwalezo ezinedatha yohlobo lomthengi.
