Marktgröße und Marktanteil für No-Code-KI-Plattformen, nach Komponente, Technologie (NLP, Computer Vision, Predictive Analytics), Bereitstellung, Unternehmensgröße, Branche – Wachstumstrends, regionale Einblicke (USA, Japan, Südkorea, Großbritannien, Deutschland), Wettbewerbsfähigkeit Positionierung, Globaler Prognosebericht 2025–2034
MARKET OUTLOOK
Market Size and Growoth Outlook
No-code AI Platform Market size is predicted to reach USD 120.23 billion by 2034, up from USD 4.87 billion in 2024, reflecting a CAGR of over 37.8% during the forecast period from 2025 to 2034. The industry revenue for 2025 is projected to be USD 6.53 billion.
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Marktwert im Prognosejahr ()
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Markt für No-Code-KI-Plattformen Intelligence Snapshot
Regionale Marktdynamik
Segmentdynamik
Treiber der Marktexpansion
Führende Marktteilnehmer
FORECAST SNAPSHOT
Global Market Forecast Snapshot
Marktausblick
Regionaler und segmentbezogener Ausblick
REGIONAL FORECAST
Regionale Nachfragedynamik
Largest Region
North America
40% Market Share in 2024
SEGMENT ANALYSIS
Segment Leadership and Growth Trends
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No-code AI Platform Market:
Component:
The component segment in the no-code AI platform market is divided into software tools and services. Software tools enable users to build and deploy AI solutions without the need for coding, while services encompass training, consulting, and maintenance support.
Technology:
The technology segment of the market includes Natural Language Processing (NLP), Computer Vision, and Predictive Analytics. NLP enables machines to understand and generate human language, Computer Vision allows machines to interpret and analyze visual information, while Predictive Analytics forecasts future outcomes based on historical data.
Deployment:
Deployment methods in the no-code AI platform market consist of cloud-based and on-premise solutions. Cloud-based deployments offer scalability and flexibility, while on-premise deployments provide greater control and security.
Enterprise Size:
The market caters to enterprises of all sizes, including small and medium-sized businesses (SMBs) and large enterprises. SMBs often opt for no-code AI platforms due to their affordability and ease of use, while large enterprises leverage these tools for complex projects and scalability.
Vertical:
The vertical segment of the market covers various industries such as healthcare, finance, retail, manufacturing, and others. Each industry has unique AI use cases and requirements, driving the adoption of no-code AI platforms across different verticals.
Wettbewerbslandschaft
Wettbewerbslandschaft und Marktpositionierung
The competitive landscape in the No-code AI Platform Market is characterized by a rapidly growing ecosystem of companies that enable users to build, deploy, and manage AI-driven applications without the need for extensive programming expertise. This democratization of AI technology has attracted a diverse range of players, from startups to established tech giants, all striving to provide user-friendly, scalable, and versatile platforms. Key differentiators among these platforms include ease of use, integration capabilities with existing tools, access to pre-trained models, and pricing models. As enterprises across various industries seek to empower non-technical users to harness AI for business processes, the competition has intensified, prompting continuous innovation and enhancements in product offerings to capture market share.
Top Market Players
- Microsoft
- Google
- Amazon Web Services
- IBM
- Bubble
- AppGyver
- DataRobot
- Mendix
- RapidMiner
- Alteryx
| Unternehmen | Marktanteil | Unternehmensumsatz | Umsatz-CAGR (%) | Produktportfolio | Geografische Präsenz | Innovations- / F&E-Schwerpunkt | Strategische Entwicklungen |
|---|---|---|---|---|---|---|---|
| Keine Unternehmensdaten verfügbar. | |||||||
Branchennachrichten
Branchenentwicklung/Nachrichten
| Unternehmensname | Datum | Wichtige Entwicklung |
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