IkhayaZonke IzigabaAmapulatifomu e-AutoML

Amapulatifomu e-AutoML

I-SaaS Browser ilandelela izinkampani zesofthiwe ze-4,158 Amapulatifomu e-AutoML, kanti i-480 ingeziwe ezinsukwini ezingu-30 ezedlule. Amazwe aphezulu e-Amapulatifomu e-AutoML SaaS afaka phakathi i-United States (547), United Kingdom (100), India (86).

Amaphuzu Edatha Abalulekile e-Amapulatifomu e-AutoML

4,158
Isofthiwe Ephelele1
480
Okusha (Izinsuku ezingu-30 ezedlule)2
113
Izinhlelo Zokuxhumana3
4
Iminyaka Emaphakathi (Iminyaka)4
+3,006
Okusha (Izinsuku ezingu-365 ezedlule)5
1,388
I-Churned (Unyaka Odlule)6
31.6%
Izinga Lonyaka Lokukhushulwa7
27.1%
Isivivinyo Samahhala8

Ukusatshalaliswa Kosayizi Wenkampani9

14
Ibhizinisi (1,000+)
1.5% kwesamba
35
Okukhulu (201-1,000)
3.7% kwesamba
113
Usayizi Ophakathi (51-200)
12.0% kwesamba
779
Okuncane (2-50)
82.8% kwesamba

Izinkampani Ezise-Amapulatifomu e-AutoML Ezisungulwe Kakhulu

Inkampani Abasebenzi Izinga Lesizinda Yasungulwa Kungeziwe
Hugging Face 200 72 2016 2025-02-10
TensorFlow 67 2026-02-19
GTM AI 500 64 2018 2025-02-06
Microsoft Developer 64 2026-03-08
Anaconda 500 62 2012 2025-02-07
Mistral AI 500 61 2025-02-26
Gemini 60 2025-02-28
Replicate 58 2025-02-27
H2O.ai 500 57 2012 2025-02-08
DataRobot 1,000 57 2025-02-04

Amazwe ayi-10 aphezulu e-Amapulatifomu e-AutoML SaaS

Amazwe alandelayo amelela lapho izinkampani eziningi ze-Amapulatifomu e-AutoML SaaS zinezinhloko zazo, ngokusekelwe kudatha yethu yemikhiqizo yesofthiwe ye-4,158.

Izwe Bala % wesamba
United States 547 13.2%
United Kingdom 100 2.4%
India 86 2.1%
Canada 38 0.9%
Germany 36 0.9%
Singapore 25 0.6%
France 24 0.6%
Australia 21 0.5%
Switzerland 18 0.4%
Netherlands 16 0.4%

I-SEO kanye ne-Domain Authority ye-Amapulatifomu e-AutoML

Isilinganiso Sesizinda10
8
uma kuqhathaniswa nesilinganiso esiphelele se-8
Izizinda Ezibhekisela Ezimaphakathi11
2
uma kuqhathaniswa nesilinganiso esiphelele se-2

Idatha yamanani e-Amapulatifomu e-AutoML

Intengo Ephakathi Yokuqala (i-USD)12
$20/ngenyanga
Intengo Ephakeme Emaphakathi (i-USD)13
$99/ngenyanga

Ukugcwala Kwemakethe kwe-Amapulatifomu e-AutoML

Leli phuzu libalwa kusukela ekuhlanganisweni kwemikhiqizo iyonke, igunya lesizinda, izizinda ezibhekisela kuzo, ubudala benkampani, ukukhula kwethrafikhi, amanani, kanye nokuba khona kwebhizinisi.

Isikolo Sokugcwalisa14
45 / 100 (Okuphakathi nendawo)

Izinhlelo Zokubambisana ku-Amapulatifomu e-AutoML

113 Amapulatifomu e-AutoML Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo (2.7% yenani eliphelele).

Ikhomishini Ejwayelekile15
20%
Ukusatshalaliswa Kohlobo Lwekhomishini
Isikhathi esisodwa 12
Okuphindaphindayo 32

Okusanda Kwengezwa i-Amapulatifomu e-AutoML SaaS

KartSync Kungezwe i-2026-08-15
Ren Afkastholm Kungezwe i-2026-08-15
Nbility Kungezwe i-2026-08-15
ADCO AI Kungezwe i-2026-08-15
Zi Finance Kungezwe i-2026-08-15
YDM Data & AI Consulting Kungezwe i-2026-08-14
Wardyn Kungezwe i-2026-08-14
EvoShip Kungezwe i-2026-08-14
Forge Kungezwe i-2026-08-14
MH Markets Kungezwe i-2026-08-14

Isilinganiso Seminyaka Yezinkampani ze-SaaS ze-Amapulatifomu e-AutoML

Inkampani ejwayelekile ye-Amapulatifomu e-AutoML SaaS yasungulwa eminyakeni engu-4.0 eyedlule (isilinganiso sonyaka wokusungulwa: 2022).

Ukuhlukaniswa kwe-B2B / B2C kwe-Amapulatifomu e-AutoML16

1,021
Kokubili i-B2B ne-B2C
24.6%
3,089
Ibhizinisi (B2B)
74.4%
44
Umthengi (B2C)
1.1%

Kususelwa ezinkampanini ze-4,154 ezinedatha yohlobo lwabathengi (99.9% yenani eliphelele).

Ithrendi Yokutholwa Kwe-SaaS ye-Amapulatifomu e-AutoML

Inani lokusakazwa lwe-SaaS lenyanga zonke ye-Amapulatifomu e-AutoML uma kuqhathaniswa nengxenye yayo ye-SaaS yonke etholakele. Iphesenti elikhulayo likhombisa ukuthi lesi sigaba sikhula ngokushesha kunemakethe jikelele.

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Thola i-Amapulatifomu e-AutoML SaaS

Hlunga:
Bonisa Izihlungi
1 isihlungi sisetshenzisiwe · Sula konke · Londoloza
Isigaba: Amapulatifomu e-AutoML
Lotra Core Logo

Lotra Core

Isivivinyo Samahhala
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
The platform integrates all essential dealership operations into a single, user-friendly operating system, streamlining inventory management, customer relationship management, sales listings, finance processing, and real-time reporting. Its key features include live inventory tracking, automated multi-platform vehicle listings, accurate pricing with AI-driven market insights, comprehensive vehicle history details, instant updates across modules, and integrated media management, all designed to enhance efficiency, improve decision-making, and increase sales for automotive dealers, vehicle traders, and marketplace managers.
Intengo: £229-£349/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
CAIBOT Logo

CAIBOT

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
An automated trading solution utilizes artificial intelligence to manage cryptocurrency investments, allowing users to grow their portfolios passively without the need for manual trading. Key features include 24/7 trading across multiple coins to capitalize on market volatility, real-time performance tracking through an analytics dashboard, and a focus on minimizing risk during market downturns, making it ideal for both novice and experienced investors seeking to optimize their crypto assets efficiently.
Intengo: $20-$24/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
Crypto
Isigaba salolu hlu.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Administrate Logo

Administrate

Isivivinyo Samahhala
Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
This platform provides comprehensive management and monitoring of AI automation workflows across multiple clients by consolidating data into a single, user-friendly dashboard. It tracks automation performance, client activity, and large language model costs, offering features such as real-time error detection, proactive alerts, detailed usage analytics, and cost attribution, thereby addressing challenges like operational visibility, cost control, and troubleshooting for AI agencies. It is designed for AI service providers, automation consultants, or digital agencies who need to optimize, oversee, and troubleshoot client AI integrations efficiently and proactively.
Intengo: $0-$297/mo
Ibanga lanyanga zonke lentengo yalo mkhiqizo we-SaaS. Izintengo zenziwa ngokwejwayelekile zibe amanani enyanga lapho kungenzeka khona.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Workforce Logo

Workforce

Umnikazi uqinisekise imininingwane yephrofayela yakhe eboniswe kuleli khasi.
The platform transforms language models into autonomous engineering teammates capable of managing complex software development tasks by automating code generation, review, merging, and ticket handling, thereby significantly increasing team productivity and output velocity. Its core features include persistent memory for retaining organizational knowledge, seamless integration with development tools like GitHub and Slack, adaptive routing between different model capabilities to optimize costs, and enterprise-grade security with self-hosted infrastructure, catering to small to large software development teams seeking efficient, secure, and scalable automation solutions.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Athina Logo
Athina AI is a collaborative platform that accelerates the development, testing, and monitoring of AI features, enabling teams to ship AI to production ten times faster. With tools designed for both technical and non-technical users, Athina facilitates seamless collaboration on experiments, dataset evaluations, and prompt management, ensuring comprehensive support for AI development processes.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Xonai Logo
This tool enhances the performance of Apache Spark workloads by significantly reducing execution time and resource consumption without requiring code modifications, platform migrations, or new operational practices. It features a plug-and-play MLIR JIT compiler engine that executes Spark jobs faster and more efficiently by eliminating interpretation overhead, allowing users to scale workloads, cut costs, accelerate AI initiatives, and maintain existing security controls, making it ideal for data engineers, data scientists, and organizations seeking to optimize big data processing within their current infrastructure.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Astrikos Logo
Astrikos offers AI-driven platforms that help cities, industries, and communities manage their infrastructure more effectively. The solutions focus on real-time data integration, promoting sustainability and efficiency across various sectors.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Radicalbit Logo
Radicalbit is an MLOps platform designed to simplify the deployment and management of AI models. It offers tools for data transformation, integrity, observability, and explainability, helping teams efficiently run AI applications at scale.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
Simple ML Logo
Simple ML for Sheets is an add-on that enables users to apply machine learning in Google Sheets without needing any coding skills or prior knowledge. It automates common tasks like predicting missing values, spotting abnormal values, and forecasting future outcomes, making it accessible for everyone.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
AmplifAI Logo
AmplifAI is a leading AI-driven platform designed to enhance contact center performance through advanced coaching, gamification, and quality assurance solutions. Trusted by top brands across various industries, the platform empowers teams to optimize their operations, improve customer satisfaction, and drive revenue growth.
AutoML Platforms
Isigaba salolu hlu.
Bhalisa ukuze ubuke zonke izibalo
* 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-Amapulatifomu e-AutoML SaaS ezikhona?

Isiphequluli se-SaaS silandelela imikhiqizo yesofthiwe ye-4,158 Amapulatifomu e-AutoML kusukela ku-August 2026. Izinkampani ezintsha ze-480 Amapulatifomu e-AutoML ze-SaaS zengezwe ezinsukwini ezingu-30 ezedlule.

Zingaki izinkampani ezintsha ze-Amapulatifomu e-AutoML SaaS ezingezwayo njalo ngenyanga?

Izinkampani ezintsha ze-480 Amapulatifomu e-AutoML SaaS zengezwe ku-SaaS Browser ezinsukwini ezingu-30 ezedlule. Ingqalasizinda yethu yokukhasa eyimfihlo iyaqhubeka nokuthola imikhiqizo emisha yesofthiwe.

Yiziphi izinkampani ze-Amapulatifomu e-AutoML SaaS ezisungulwe kakhulu?

Izinkampani ze-Amapulatifomu e-AutoML SaaS ezidumile kakhulu ngokwegunya lesizinda zifaka phakathi i-Hugging Face, TensorFlow, GTM AI, Microsoft Developer, Anaconda. Lezi zinkampani zimele amaphuzu aphezulu kakhulu esizinda esigabeni se-Amapulatifomu e-AutoML.

Ungakanani usayizi wenkampani ojwayelekile we-Amapulatifomu e-AutoML SaaS?

Phakathi kwezinkampani ze-Amapulatifomu e-AutoML SaaS ezinemininingwane yabasebenzi, ukusatshalaliswa kosayizi yilokhu: - 14 (1.5%), - 35 (3.7%), - 113 (12.0%), - 779 (82.8%).

Iyini igunya elijwayelekile lesizinda sezinkampani ze-Amapulatifomu e-AutoML SaaS?

Isilinganiso sesizinda sezinkampani ze-Amapulatifomu e-AutoML SaaS singu-8, uma kuqhathaniswa nesilinganiso se-SaaS sisonke esingu-8. Lezi zinkampani zinesilinganiso sama-domain abhekisela ku-2.

Yimaphi amazwe anezinkampani ze-SaaS ze-Amapulatifomu e-AutoML eziningi kakhulu?

Amazwe aphezulu e-Amapulatifomu e-AutoML SaaS yilawa: United States (547), United Kingdom (100), India (86), Canada (38), Germany (36). Lawa amelela amazinga amakhulu ezinkampani zesofthiwe ze-Amapulatifomu e-AutoML emhlabeni jikelele.

Yimaphi amaphesenti ezinkampani ze-Amapulatifomu e-AutoML ze-SaaS ezinikeza izinhlelo zokubambisana?

113 Amapulatifomu e-AutoML Izinkampani ze-SaaS zinikeza izinhlelo ezihambisanayo, ezimele i-2.7% yazo zonke izinhlelo ze-Amapulatifomu e-AutoML ezilandelwa yi-SaaS Browser. Izinga elimaphakathi lekhomishini lingu-20%.

Ingakanani iminyaka yobudala yezinkampani ze-Amapulatifomu e-AutoML SaaS?

Inkampani ejwayelekile ye-Amapulatifomu e-AutoML SaaS yasungulwa eminyakeni engu-4.0 eyedlule, kanti isilinganiso sonyaka wokusungulwa kwayo sasingu-2022.

Ingabe izinkampani ze-Amapulatifomu e-AutoML SaaS zisebenza kakhulu njenge-B2B noma i-B2C?

Ngokusekelwe kudatha etholakalayo, izinkampani ze-Amapulatifomu e-AutoML SaaS zihlukaniswa kanje: Kokubili i-B2B ne-B2C (24.6%), Ibhizinisi (B2B) (74.4%), Umthengi (B2C) (1.1%).

Yiziphi izinkampani ezintsha ze-Amapulatifomu e-AutoML SaaS?

Izinkampani ze-Amapulatifomu e-AutoML SaaS ezisanda kutholakala zifaka phakathi i-KartSync, Ren Afkastholm, Nbility, ADCO AI, Zi Finance. 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

  1. Isofthiwe Ephelele. Inani lezinkampani ze-SaaS ezishicilelwe njengamanje ezisohlwini lalokhu okukhethiwe. Izinkampani eziphasa ukuhlola kwethu kwekhwalithi okuzenzakalelayo kuphela ezibalwayo.
  2. Okusha (Izinsuku ezingu-30 ezedlule). Inani eliyiqiniso lezinkampani ze-SaaS ezisanda kushicilelwa kulokhu okukhethiwe ezinsukwini ezingu-30 ezedlule.
  3. Izinhlelo Zokuxhumana. Inani lezinkampani ze-SaaS ezisohlwini ezisebenzisa uhlelo lokuxhumana noma lokudlulisa oluqinisekisiwe.
  4. Iminyaka Emaphakathi (Iminyaka). Iminyaka ephakathi, ngeminyaka, yezinkampani kulokhu okukhethiwe, ngokusekelwe onyakeni wokusungulwa. Iphakathi liyinani eliphakathi, ngakho-ke uhhafu badala futhi uhhafu basebancane.
  5. Okusha (Izinsuku ezingu-365 ezedlule). Inani lezinkampani ze-SaaS ezishicilelwe kulokhu okukhethiwe ezinsukwini ezingu-365 ezedlule.
  6. I-Churned (Unyaka Odlule). Izinkampani ezishicilelwe phakathi nonyaka odlule ezingasekho ohlwini — zaya offline, zasuswa, noma zayeka ukudlula ekuhloleni kwethu kwekhwalithi.
  7. Izinga Lonyaka Lokukhushulwa. Izinga lokushona lonyaka — izinkampani ezishonile njengephesenti lazo zonke izinkampani ezishicilelwe onyakeni odlule (ezisesohlwini kanye nezishonile).
  8. Isivivinyo Samahhala. Iphesenti lezinkampani ezisohlwini kulokhu okukhethiwe ezinikeza ukulingwa kwamahhala.
  9. 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.
  10. 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.
  11. Izizinda Ezibhekisela Ezimaphakathi. Inani eliphakathi lezizinda eziyingqayizivele ezibhekisela (amasayithi angaphandle ahlukene axhuma enkampanini) kuzo zonke izinkampani ezisohlwini.
  12. Intengo Ephakathi Yokuqala (i-USD). Intengo yanyanga yokungena ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  13. Intengo Ephakeme Emaphakathi (i-USD). Intengo yanyanga eliphakeme ephakathi (USD) kuzo zonke izinkampani kulokhu okukhethiwe ezinedatha yamanani.
  14. 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.
  15. Ikhomishini Ejwayelekile. Izinga lekhomishini lokuxhumana eliphakathi elinikezwa izinkampani kulokhu okukhethiwe ezisebenzisa uhlelo lokuxhumana.
  16. Ukuhlukaniswa kwe-B2B / B2C. Ukuhlukaniswa kwezinkampani ngokwemakethe okuqondiwe — ibhizinisi (B2B), umthengi (B2C), noma kokubili — phakathi kwalezo ezinedatha yohlobo lomthengi.