The Global No-code AI Platform Market size is expected to reach $17.5 billion by 2030, rising at a market growth of 25.9% CAGR during the forecast period.
Many end-user businesses can now use cloud-based apps due to the growing use of cloud computing services. Because of cloud computing's inherent advantages, scalability, and high resource availability, businesses embrace cloud-based solutions. Hence, the cloud segment would generate approximately 1/2nd share of the market by 2030. It hastens the adoption of cloud-based applications by utilizing a service paradigm. Public cloud services spending increased from $220 billion in 2016 to $411 billion in 2021, according to the Financial Services Sector's Adoption of Cloud Services report by the U.S. Department of the Treasury. Furthermore, it is predicted to increase to almost $600 billion in 2023. As a result, cloud-based applications are used more frequently, so too have the use prospects for no-code AI platforms. To deploy and train AI models, no-code AI systems frequently need a lot of computing power.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For example, In July, 2022, Clarifai, Inc. a free service developed to enable everyone to build, share, and use AI. Additionally, the service is developed on top of Clarifai's platform for the end-to-end AI lifecycle, which is strong enough for developers, reliable enough for data scientists, and simple enough for no-code business users. Additionally, In June, 2023, Amazon Web Services, a subsidiary of Amazon, launched dubbed AppFabric, the latest no-code offering. The launched product aims to lower operational expenses associated with constructing point-to-point solutions and to increase application observability to design SaaS integration for businesses.
Based on the Analysis presented in the KBV Cardinal matrix; Apple, Inc., Microsoft Corporation and Google, Inc. are the forerunners in the Market. In April, 2020, Microsoft released a beta version of Power Apps on mobile, for no-code application development. With mobile applications, anyone without knowledge of programming languages can easily and quickly assemble mobile business applications. The canvas and model development methods are both available in the mobile application. Companies such as Amazon.com, Inc., QuickBase, Inc. and DataRobot, Inc. are some of the key innovators in the Market.
Market Growth Factors
Increasing importance of data-driven and influential business decision-making
Since the no-code AI platform enables organizations to employ AI to automate operations, they can accomplish more with less effort. AI platforms are frequently used in business use cases like recommending self-help materials to users by building chatbots depending on their sentiments. Businesses can now offer customer help without having to hire customer care staff. Moreover, artificial intelligence (AI) can be applied to e-commerce to anticipate fraud and identify questionable transactions. Artificial intelligence-based product recommendations for cross-selling and upselling goods to boost revenue can also be achieved with the help of no-code platforms.
Organizations urgently require task automation
Artificial intelligence (AI) and machine learning (ML) have been put into use in a variety of sectors and divisions during the last few years, including the human resources division of many businesses. These technologies are primarily used to automate a variety of operations and to build models and algorithms that provide real-time insights into a wide range of business-related variables. However, not every person in a company using AI platforms is knowledgeable about the development processes or has the required technical know-how. No-code AI platforms have been a crucial tool for enabling these people to communicate with and construct AI platforms for their job. Hence, more businesses now use no-code AI platforms, which is boosting the expansion of the market.
Market Restraining Factors
Issues and constraints of no-code platforms
The lack of flexibility compared to traditional coding is maybe no-code AI's most severe flaw. When data scientists need to quickly modify their models in response to shifting business needs or fresh data, this restriction can be a major hindrance. Furthermore, the limited functionality of these tools can be difficult to create large models that effectively capture all the subtleties of data while using no-code AI because it provides a small fraction of the power offered by conventional coding languages. In addition to proving that the model is impartial, it is also difficult to justify decisions to stakeholders.
Component Outlook
Based on component, the market is characterized into platforms (without services) and services. The services segment procured a considerable growth rate in the market in 2022. Professional, consulting, support, maintenance, and training & educational services are among the services that most providers offer. By allowing businesses to design, implement, and maintain machine learning models effectively, no-code AI services aid in the growth of organizations. Businesses can shorten the time to market, expand use cases, enhance operational efficiency, and promote collaboration by utilizing these services.
Technology Outlook
On the basis of technology, the market is classified into natural language processing, computer vision, predictive analytics, and others. The natural language processing (NLP) segment acquired the largest revenue share in the market in 2022. AI systems can comprehend and translate human language with the help of NLP. Users can create applications that comprehend user inputs and react to them naturally and intuitively by incorporating NLP into no-code AI platforms. This creates opportunities for developing language-based interfaces, chatbots, and virtual assistants without requiring intricate coding.
Enterprise Size Outlook
Based on enterprise size, the market is bifurcated into SMEs and large enterprises. The SMEs segment acquired a substantial revenue share in the market in 2022. No-code AI platforms are becoming increasingly valuable to SMEs as a way to boost growth and get an advantage over rivals in their markets. Employing specialist expertise and purchasing infrastructure are two common upfront costs associated with traditional AI development. Because they do not require considerable coding and rely less on highly skilled workers, no-code AI platforms provide a more affordable alternative. Without the requirement for dedicated software developers or data scientists, SMEs can use these platforms to create AI applications.
Deployment Type Outlook
By deployment type, the market is divided into cloud and on-premise. The on-premise segment witnessed the maximum revenue share in the market in 2022. The many advantages that come with on-premises implementation, including high data security and safety, are responsible for the segment's expansion. The on-premise solution is preferred by businesses because it assures that data and models are secure and shielded from outside dangers by keeping them inside the data center of the company. Furthermore, with on-premise technology, businesses have more control over the machine learning pipeline, which can increase productivity and lower expenses.
End-use Outlook
On the basis of end-use, the market is segmented into BFSI, healthcare & life sciences, retail & e-commerce, IT & telecom, energy & utilities, government, and others. The BFSI segment witnessed a considerable growth rate in the market in 2022. BFSI businesses create virtual assistants and chatbots powered by AI to improve the client experience. These chatbots answer client questions, tailor recommendations, and support self-service alternatives. Natural language processing (NLP) tools make it simpler for BFSI companies to train these chatbots, enhancing client engagement and support.
Regional Outlook
Region wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific segment witnessed a significant revenue share in the market in 2022. Many technology startups are launching in nations like India, Singapore, China, and South Korea, which is home to a vibrant startup ecosystem. Many of these startups have an AI focus and look for easily used tools to develop AI applications. These startups have an appealing option in the form of no-code AI platforms, which let them create AI apps without having to invest a lot of time and money in technical personnel.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Apple, Inc., Amazon.com, Inc., Google LLC (Alphabet Inc.), Microsoft Corporation, DataRobot, Inc., QuickBase, Inc., Akkio, Inc., Caspio, Inc., Clarifai, Inc., and Levity AI GmbH.
Recent Strategy Deployed in No-code AI Platform Market
Partnerships, Collaborations and Agreements:
Jun-2023-Jun Amazon Web Services, a subsidiary of Amazon, came into partnership with Persistent Systems, a leader in global Digital Engineering. Through this partnership, both companies would utilize Amazon CodeWhisperer to create and offer industry applications quicker and more protected for commercial clients.
May-2023: Microsoft Corporation partnered with Builder.ai, a startup that helps companies make applications without any coding experience. Following this partnership, Microsoft aims to enable clients to create business apps on the platform, Builder.ai which includes Natasha, its own AI assistant, into its Teams video and chat software.
May-2023: DataRobot, Inc. entered into collaboration with Microsoft Corporation, an American multinational technology. This collaboration would allow data scientists to utilize large language models to aid in writing code by integrating with Microsoft Azure OpenAI Service, Azure Machine Learning, and Azure Kubernetes Service.
Mar-2023: DataRobot, Inc. signed a partnership with SAP SE, a German multinational software company. This partnership would allow clients to connect SAP software. Moreover, DataRobot's powerful machine-learning skills allow it to produce more insightful business forecasts from mission-critical business data.
Feb-2023: Amazon Web Services, a subsidiary of Amazon, joined hands with Hugging Face, an American company that designs tools for creating applications. Under this collaboration, both companies would both model deployment and training for generative AI applications.
Product Launches and Product Expansions:
Jun-2023: Amazon Web Services, a subsidiary of Amazon, launched dubbed AppFabric, the latest no-code offering. The launched product aims to lower operational expenses associated with constructing point-to-point solutions and to increase application observability to design SaaS integration for businesses.
May-2022: Amazon Web Services, a subsidiary of Amazon, introduced AWS Amplify Studio, a visual interface that simplifies front- and backend development for mobile and web software. Additionally, the launched product would further assist programmers in setting up several AWS services more quickly to serve their backend use cases, such as user authentication, file storage, and real-time data.
Apr-2023: Amazon Web Services, a subsidiary of Amazon, unveiled Amazon Bedrock, a cloud service that allows developers to integrate artificial intelligence systems into their applications, and characteristics similar to OpenAI's ChatGPT which is one of the release of generative AI development tools for Amazon Web Services.
Mar-2023: Google LLC unveiled Gen App Builder. This product launch would allow programmers to develop enterprise-grade generative AI applications through limited machine learning expertise. Furthermore, through this product developers would be able to create high-quality experiences and incorporate them into their applications and websites "in minutes or hours," owing to Google's no-code conversational and search capabilities.
Mar-2023: DataRobot, Inc. rolled out AI Platform 9.0. This launch would support assisting businesses in more quickly and easily deploying AI systems and products.
Jan-2023: Apple, Inc. enhanced no-code creation for its XR headset. The product is developed to utilize the headset's no-code software, which is identical to its Final Cut Pro video editing program by both experts and novices.
Jul-2022: Clarifai, Inc. unveiled Clarifai Community, a free service developed to enable everyone to build, share, and use AI. Additionally, the service is developed on top of Clarifai's platform for the end-to-end AI lifecycle, which is strong enough for developers, reliable enough for data scientists, and simple enough for no-code business users.
Jul-2021: Apple, Inc. released Trinity, a no-code AI platform. Additionally, the launched product would support geospatial domain specialists and machine learning researchers to create domain-specific signals and datasets with advanced problem-solving skills.
Mar-2021: Akkio, Inc. enhanced Data Stories. Through this expansion, Akkio allows customers to comprehend the inputs that are most predictive in operating the AI models they develop.
Scope of the Study
Market Segments covered in the Report:
By Component
- Platform (Without Services)
- Services
By Technology
- Natural Language Processing
- Computer Vision
- Predictive Analytics
- Others
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises
By Deployment Type
By End-use
- Telecom & IT
- BFSI
- Retail & E-Commerce
- Healthcare & Lifesciences
- Government
- Energy & Utilities
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Companies Profiled
- Apple, Inc.
- Amazon.com, Inc.
- Google LLC (Alphabet Inc.)
- Microsoft Corporation
- DataRobot, Inc.
- QuickBase, Inc.
- Akkio, Inc.
- Caspio, Inc.
- Clarifai, Inc.
- Levity AI GmbH
Unique Offerings from KBV Research
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global No-code AI Platform Market, by Component
- 1.4.2 Global No-code AI Platform Market, by Technology
- 1.4.3 Global No-code AI Platform Market, by Enterprise Size
- 1.4.4 Global No-code AI Platform Market, by Deployment Type
- 1.4.5 Global No-code AI Platform Market, by End-use
- 1.4.6 Global No-code AI Platform Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market at a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2021
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
- 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2019, May - 2023, Jun) Leading Players
- 4.5 Porter's Five Force Analysis
Chapter 5. Global No-code AI Platform Market by Component
- 5.1 Global Platform (Without Services) Market by Region
- 5.2 Global Services Market by Region
Chapter 6. Global No-code AI Platform Market by Technology
- 6.1 Global Natural Language Processing Market by Region
- 6.2 Global Computer Vision Market by Region
- 6.3 Global Predictive Analytics Market by Region
- 6.4 Global Other Technology Market by Region
Chapter 7. Global No-code AI Platform Market by Enterprise Size
- 7.1 Global Large Enterprises Market by Region
- 7.2 Global Small & Medium Enterprises Market by Region
Chapter 8. Global No-code AI Platform Market by Deployment Type
- 8.1 Global On-premise Market by Region
- 8.2 Global Cloud Market by Region
Chapter 9. Global No-code AI Platform Market by End-use
- 9.1 Global Telecom & IT Market by Region
- 9.2 Global BFSI Market by Region
- 9.3 Global Retail & E-Commerce Market by Region
- 9.4 Global Healthcare & Lifesciences Market by Region
- 9.5 Global Government Market by Region
- 9.6 Global Energy & Utilities Market by Region
- 9.7 Global Others Market by Region
Chapter 10. Global No-code AI Platform Market by Region
- 10.1 North America No-code AI Platform Market
- 10.1.1 North America No-code AI Platform Market by Component
- 10.1.1.1 North America Platform (Without Services) Market by Country
- 10.1.1.2 North America Services Market by Country
- 10.1.2 North America No-code AI Platform Market by Technology
- 10.1.2.1 North America Natural Language Processing Market by Country
- 10.1.2.2 North America Computer Vision Market by Country
- 10.1.2.3 North America Predictive Analytics Market by Country
- 10.1.2.4 North America Other Technology Market by Country
- 10.1.3 North America No-code AI Platform Market by Enterprise Size
- 10.1.3.1 North America Large Enterprises Market by Country
- 10.1.3.2 North America Small & Medium Enterprises Market by Country
- 10.1.4 North America No-code AI Platform Market by Deployment Type
- 10.1.4.1 North America On-premise Market by Country
- 10.1.4.2 North America Cloud Market by Country
- 10.1.5 North America No-code AI Platform Market by End-use
- 10.1.5.1 North America Telecom & IT Market by Country
- 10.1.5.2 North America BFSI Market by Country
- 10.1.5.3 North America Retail & E-Commerce Market by Country
- 10.1.5.4 North America Healthcare & Lifesciences Market by Country
- 10.1.5.5 North America Government Market by Country
- 10.1.5.6 North America Energy & Utilities Market by Country
- 10.1.5.7 North America Others Market by Country
- 10.1.6 North America No-code AI Platform Market by Country
- 10.1.6.1 US No-code AI Platform Market
- 10.1.6.1.1 US No-code AI Platform Market by Component
- 10.1.6.1.2 US No-code AI Platform Market by Technology
- 10.1.6.1.3 US No-code AI Platform Market by Enterprise Size
- 10.1.6.1.4 US No-code AI Platform Market by Deployment Type
- 10.1.6.1.5 US No-code AI Platform Market by End-use
- 10.1.6.2 Canada No-code AI Platform Market
- 10.1.6.2.1 Canada No-code AI Platform Market by Component
- 10.1.6.2.2 Canada No-code AI Platform Market by Technology
- 10.1.6.2.3 Canada No-code AI Platform Market by Enterprise Size
- 10.1.6.2.4 Canada No-code AI Platform Market by Deployment Type
- 10.1.6.2.5 Canada No-code AI Platform Market by End-use
- 10.1.6.3 Mexico No-code AI Platform Market
- 10.1.6.3.1 Mexico No-code AI Platform Market by Component
- 10.1.6.3.2 Mexico No-code AI Platform Market by Technology
- 10.1.6.3.3 Mexico No-code AI Platform Market by Enterprise Size
- 10.1.6.3.4 Mexico No-code AI Platform Market by Deployment Type
- 10.1.6.3.5 Mexico No-code AI Platform Market by End-use
- 10.1.6.4 Rest of North America No-code AI Platform Market
- 10.1.6.4.1 Rest of North America No-code AI Platform Market by Component
- 10.1.6.4.2 Rest of North America No-code AI Platform Market by Technology
- 10.1.6.4.3 Rest of North America No-code AI Platform Market by Enterprise Size
- 10.1.6.4.4 Rest of North America No-code AI Platform Market by Deployment Type
- 10.1.6.4.5 Rest of North America No-code AI Platform Market by End-use
- 10.2 Europe No-code AI Platform Market
- 10.2.1 Europe No-code AI Platform Market by Component
- 10.2.1.1 Europe Platform (Without Services) Market by Country
- 10.2.1.2 Europe Services Market by Country
- 10.2.2 Europe No-code AI Platform Market by Technology
- 10.2.2.1 Europe Natural Language Processing Market by Country
- 10.2.2.2 Europe Computer Vision Market by Country
- 10.2.2.3 Europe Predictive Analytics Market by Country
- 10.2.2.4 Europe Other Technology Market by Country
- 10.2.3 Europe No-code AI Platform Market by Enterprise Size
- 10.2.3.1 Europe Large Enterprises Market by Country
- 10.2.3.2 Europe Small & Medium Enterprises Market by Country
- 10.2.4 Europe No-code AI Platform Market by Deployment Type
- 10.2.4.1 Europe On-premise Market by Country
- 10.2.4.2 Europe Cloud Market by Country
- 10.2.5 Europe No-code AI Platform Market by End-use
- 10.2.5.1 Europe Telecom & IT Market by Country
- 10.2.5.2 Europe BFSI Market by Country
- 10.2.5.3 Europe Retail & E-Commerce Market by Country
- 10.2.5.4 Europe Healthcare & Lifesciences Market by Country
- 10.2.5.5 Europe Government Market by Country
- 10.2.5.6 Europe Energy & Utilities Market by Country
- 10.2.5.7 Europe Others Market by Country
- 10.2.6 Europe No-code AI Platform Market by Country
- 10.2.6.1 Germany No-code AI Platform Market
- 10.2.6.1.1 Germany No-code AI Platform Market by Component
- 10.2.6.1.2 Germany No-code AI Platform Market by Technology
- 10.2.6.1.3 Germany No-code AI Platform Market by Enterprise Size
- 10.2.6.1.4 Germany No-code AI Platform Market by Deployment Type
- 10.2.6.1.5 Germany No-code AI Platform Market by End-use
- 10.2.6.2 UK No-code AI Platform Market
- 10.2.6.2.1 UK No-code AI Platform Market by Component
- 10.2.6.2.2 UK No-code AI Platform Market by Technology
- 10.2.6.2.3 UK No-code AI Platform Market by Enterprise Size
- 10.2.6.2.4 UK No-code AI Platform Market by Deployment Type
- 10.2.6.2.5 UK No-code AI Platform Market by End-use
- 10.2.6.3 France No-code AI Platform Market
- 10.2.6.3.1 France No-code AI Platform Market by Component
- 10.2.6.3.2 France No-code AI Platform Market by Technology
- 10.2.6.3.3 France No-code AI Platform Market by Enterprise Size
- 10.2.6.3.4 France No-code AI Platform Market by Deployment Type
- 10.2.6.3.5 France No-code AI Platform Market by End-use
- 10.2.6.4 Russia No-code AI Platform Market
- 10.2.6.4.1 Russia No-code AI Platform Market by Component
- 10.2.6.4.2 Russia No-code AI Platform Market by Technology
- 10.2.6.4.3 Russia No-code AI Platform Market by Enterprise Size
- 10.2.6.4.4 Russia No-code AI Platform Market by Deployment Type
- 10.2.6.4.5 Russia No-code AI Platform Market by End-use
- 10.2.6.5 Spain No-code AI Platform Market
- 10.2.6.5.1 Spain No-code AI Platform Market by Component
- 10.2.6.5.2 Spain No-code AI Platform Market by Technology
- 10.2.6.5.3 Spain No-code AI Platform Market by Enterprise Size
- 10.2.6.5.4 Spain No-code AI Platform Market by Deployment Type
- 10.2.6.5.5 Spain No-code AI Platform Market by End-use
- 10.2.6.6 Italy No-code AI Platform Market
- 10.2.6.6.1 Italy No-code AI Platform Market by Component
- 10.2.6.6.2 Italy No-code AI Platform Market by Technology
- 10.2.6.6.3 Italy No-code AI Platform Market by Enterprise Size
- 10.2.6.6.4 Italy No-code AI Platform Market by Deployment Type
- 10.2.6.6.5 Italy No-code AI Platform Market by End-use
- 10.2.6.7 Rest of Europe No-code AI Platform Market
- 10.2.6.7.1 Rest of Europe No-code AI Platform Market by Component
- 10.2.6.7.2 Rest of Europe No-code AI Platform Market by Technology
- 10.2.6.7.3 Rest of Europe No-code AI Platform Market by Enterprise Size
- 10.2.6.7.4 Rest of Europe No-code AI Platform Market by Deployment Type
- 10.2.6.7.5 Rest of Europe No-code AI Platform Market by End-use
- 10.3 Asia Pacific No-code AI Platform Market
- 10.3.1 Asia Pacific No-code AI Platform Market by Component
- 10.3.1.1 Asia Pacific Platform (Without Services) Market by Country
- 10.3.1.2 Asia Pacific Services Market by Country
- 10.3.2 Asia Pacific No-code AI Platform Market by Technology
- 10.3.2.1 Asia Pacific Natural Language Processing Market by Country
- 10.3.2.2 Asia Pacific Computer Vision Market by Country
- 10.3.2.3 Asia Pacific Predictive Analytics Market by Country
- 10.3.2.4 Asia Pacific Other Technology Market by Country
- 10.3.3 Asia Pacific No-code AI Platform Market by Enterprise Size
- 10.3.3.1 Asia Pacific Large Enterprises Market by Country
- 10.3.3.2 Asia Pacific Small & Medium Enterprises Market by Country
- 10.3.4 Asia Pacific No-code AI Platform Market by Deployment Type
- 10.3.4.1 Asia Pacific On-premise Market by Country
- 10.3.4.2 Asia Pacific Cloud Market by Country
- 10.3.5 Asia Pacific No-code AI Platform Market by End-use
- 10.3.5.1 Asia Pacific Telecom & IT Market by Country
- 10.3.5.2 Asia Pacific BFSI Market by Country
- 10.3.5.3 Asia Pacific Retail & E-Commerce Market by Country
- 10.3.5.4 Asia Pacific Healthcare & Lifesciences Market by Country
- 10.3.5.5 Asia Pacific Government Market by Country
- 10.3.5.6 Asia Pacific Energy & Utilities Market by Country
- 10.3.5.7 Asia Pacific Others Market by Country
- 10.3.6 Asia Pacific No-code AI Platform Market by Country
- 10.3.6.1 China No-code AI Platform Market
- 10.3.6.1.1 China No-code AI Platform Market by Component
- 10.3.6.1.2 China No-code AI Platform Market by Technology
- 10.3.6.1.3 China No-code AI Platform Market by Enterprise Size
- 10.3.6.1.4 China No-code AI Platform Market by Deployment Type
- 10.3.6.1.5 China No-code AI Platform Market by End-use
- 10.3.6.2 Japan No-code AI Platform Market
- 10.3.6.2.1 Japan No-code AI Platform Market by Component
- 10.3.6.2.2 Japan No-code AI Platform Market by Technology
- 10.3.6.2.3 Japan No-code AI Platform Market by Enterprise Size
- 10.3.6.2.4 Japan No-code AI Platform Market by Deployment Type
- 10.3.6.2.5 Japan No-code AI Platform Market by End-use
- 10.3.6.3 India No-code AI Platform Market
- 10.3.6.3.1 India No-code AI Platform Market by Component
- 10.3.6.3.2 India No-code AI Platform Market by Technology
- 10.3.6.3.3 India No-code AI Platform Market by Enterprise Size
- 10.3.6.3.4 India No-code AI Platform Market by Deployment Type
- 10.3.6.3.5 India No-code AI Platform Market by End-use
- 10.3.6.4 South Korea No-code AI Platform Market
- 10.3.6.4.1 South Korea No-code AI Platform Market by Component
- 10.3.6.4.2 South Korea No-code AI Platform Market by Technology
- 10.3.6.4.3 South Korea No-code AI Platform Market by Enterprise Size
- 10.3.6.4.4 South Korea No-code AI Platform Market by Deployment Type
- 10.3.6.4.5 South Korea No-code AI Platform Market by End-use
- 10.3.6.5 Singapore No-code AI Platform Market
- 10.3.6.5.1 Singapore No-code AI Platform Market by Component
- 10.3.6.5.2 Singapore No-code AI Platform Market by Technology
- 10.3.6.5.3 Singapore No-code AI Platform Market by Enterprise Size
- 10.3.6.5.4 Singapore No-code AI Platform Market by Deployment Type
- 10.3.6.5.5 Singapore No-code AI Platform Market by End-use
- 10.3.6.6 Malaysia No-code AI Platform Market
- 10.3.6.6.1 Malaysia No-code AI Platform Market by Component
- 10.3.6.6.2 Malaysia No-code AI Platform Market by Technology
- 10.3.6.6.3 Malaysia No-code AI Platform Market by Enterprise Size
- 10.3.6.6.4 Malaysia No-code AI Platform Market by Deployment Type
- 10.3.6.6.5 Malaysia No-code AI Platform Market by End-use
- 10.3.6.7 Rest of Asia Pacific No-code AI Platform Market
- 10.3.6.7.1 Rest of Asia Pacific No-code AI Platform Market by Component
- 10.3.6.7.2 Rest of Asia Pacific No-code AI Platform Market by Technology
- 10.3.6.7.3 Rest of Asia Pacific No-code AI Platform Market by Enterprise Size
- 10.3.6.7.4 Rest of Asia Pacific No-code AI Platform Market by Deployment Type
- 10.3.6.7.5 Rest of Asia Pacific No-code AI Platform Market by End-use
- 10.4 LAMEA No-code AI Platform Market
- 10.4.1 LAMEA No-code AI Platform Market by Component
- 10.4.1.1 LAMEA Platform (Without Services) Market by Country
- 10.4.1.2 LAMEA Services Market by Country
- 10.4.2 LAMEA No-code AI Platform Market by Technology
- 10.4.2.1 LAMEA Natural Language Processing Market by Country
- 10.4.2.2 LAMEA Computer Vision Market by Country
- 10.4.2.3 LAMEA Predictive Analytics Market by Country
- 10.4.2.4 LAMEA Other Technology Market by Country
- 10.4.3 LAMEA No-code AI Platform Market by Enterprise Size
- 10.4.3.1 LAMEA Large Enterprises Market by Country
- 10.4.3.2 LAMEA Small & Medium Enterprises Market by Country
- 10.4.4 LAMEA No-code AI Platform Market by Deployment Type
- 10.4.4.1 LAMEA On-premise Market by Country
- 10.4.4.2 LAMEA Cloud Market by Country
- 10.4.5 LAMEA No-code AI Platform Market by End-use
- 10.4.5.1 LAMEA Telecom & IT Market by Country
- 10.4.5.2 LAMEA BFSI Market by Country
- 10.4.5.3 LAMEA Retail & E-Commerce Market by Country
- 10.4.5.4 LAMEA Healthcare & Lifesciences Market by Country
- 10.4.5.5 LAMEA Government Market by Country
- 10.4.5.6 LAMEA Energy & Utilities Market by Country
- 10.4.5.7 LAMEA Others Market by Country
- 10.4.6 LAMEA No-code AI Platform Market by Country
- 10.4.6.1 Brazil No-code AI Platform Market
- 10.4.6.1.1 Brazil No-code AI Platform Market by Component
- 10.4.6.1.2 Brazil No-code AI Platform Market by Technology
- 10.4.6.1.3 Brazil No-code AI Platform Market by Enterprise Size
- 10.4.6.1.4 Brazil No-code AI Platform Market by Deployment Type
- 10.4.6.1.5 Brazil No-code AI Platform Market by End-use
- 10.4.6.2 Argentina No-code AI Platform Market
- 10.4.6.2.1 Argentina No-code AI Platform Market by Component
- 10.4.6.2.2 Argentina No-code AI Platform Market by Technology
- 10.4.6.2.3 Argentina No-code AI Platform Market by Enterprise Size
- 10.4.6.2.4 Argentina No-code AI Platform Market by Deployment Type
- 10.4.6.2.5 Argentina No-code AI Platform Market by End-use
- 10.4.6.3 UAE No-code AI Platform Market
- 10.4.6.3.1 UAE No-code AI Platform Market by Component
- 10.4.6.3.2 UAE No-code AI Platform Market by Technology
- 10.4.6.3.3 UAE No-code AI Platform Market by Enterprise Size
- 10.4.6.3.4 UAE No-code AI Platform Market by Deployment Type
- 10.4.6.3.5 UAE No-code AI Platform Market by End-use
- 10.4.6.4 Saudi Arabia No-code AI Platform Market
- 10.4.6.4.1 Saudi Arabia No-code AI Platform Market by Component
- 10.4.6.4.2 Saudi Arabia No-code AI Platform Market by Technology
- 10.4.6.4.3 Saudi Arabia No-code AI Platform Market by Enterprise Size
- 10.4.6.4.4 Saudi Arabia No-code AI Platform Market by Deployment Type
- 10.4.6.4.5 Saudi Arabia No-code AI Platform Market by End-use
- 10.4.6.5 South Africa No-code AI Platform Market
- 10.4.6.5.1 South Africa No-code AI Platform Market by Component
- 10.4.6.5.2 South Africa No-code AI Platform Market by Technology
- 10.4.6.5.3 South Africa No-code AI Platform Market by Enterprise Size
- 10.4.6.5.4 South Africa No-code AI Platform Market by Deployment Type
- 10.4.6.5.5 South Africa No-code AI Platform Market by End-use
- 10.4.6.6 Nigeria No-code AI Platform Market
- 10.4.6.6.1 Nigeria No-code AI Platform Market by Component
- 10.4.6.6.2 Nigeria No-code AI Platform Market by Technology
- 10.4.6.6.3 Nigeria No-code AI Platform Market by Enterprise Size
- 10.4.6.6.4 Nigeria No-code AI Platform Market by Deployment Type
- 10.4.6.6.5 Nigeria No-code AI Platform Market by End-use
- 10.4.6.7 Rest of LAMEA No-code AI Platform Market
- 10.4.6.7.1 Rest of LAMEA No-code AI Platform Market by Component
- 10.4.6.7.2 Rest of LAMEA No-code AI Platform Market by Technology
- 10.4.6.7.3 Rest of LAMEA No-code AI Platform Market by Enterprise Size
- 10.4.6.7.4 Rest of LAMEA No-code AI Platform Market by Deployment Type
- 10.4.6.7.5 Rest of LAMEA No-code AI Platform Market by End-use
Chapter 11. Company Profiles
- 11.1 Apple, Inc.
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Regional Analysis
- 11.1.4 Research & Development Expense
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Product Launches and Product Expansions:
- 11.1.5.2 Acquisition and Mergers:
- 11.1.6 SWOT Analysis
- 11.2 Amazon.com, Inc.
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental Analysis
- 11.2.4 Recent strategies and developments:
- 11.2.4.1 Partnerships, Collaborations, and Agreements:
- 11.2.4.2 Product Launches and Product Expansions:
- 11.2.5 SWOT Analysis
- 11.3 Google LLC (Alphabet Inc.)
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Microsoft Corporation
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expenses
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Partnerships, Collaborations, and Agreements:
- 11.4.5.2 Product Launches and Product Expansions:
- 11.4.6 SWOT Analysis
- 11.5 DataRobot, Inc.
- 11.5.1 Company Overview
- 11.5.2 Recent strategies and developments:
- 11.5.2.1 Partnerships, Collaborations, and Agreements:
- 11.5.2.2 Product Launches and Product Expansions:
- 11.5.3 SWOT Analysis
- 11.6 QuickBase, Inc.
- 11.6.1 Company Overview
- 11.6.2 Recent strategies and developments:
- 11.6.2.1 Product Launches and Product Expansions:
- 11.6.2.2 Acquisition and Mergers:
- 11.6.3 SWOT Analysis
- 11.7 Akkio, Inc.
- 11.7.1 Company Overview
- 11.7.2 Recent strategies and developments:
- 11.7.2.1 Product Launches and Product Expansions:
- 11.7.3 SWOT Analysis
- 11.8 Caspio, Inc.
- 11.8.1 Company Overview
- 11.8.2 SWOT Analysis
- 11.9 Clarifai, Inc.
- 11.9.1 Company Overview
- 11.9.2 Recent strategies and developments:
- 11.9.2.1 Product Launches and Product Expansions:
- 11.9.3 SWOT Analysis
- 11.10. Levity AI GmbH
- 11.10.1 Company Overview
- 11.10.2 SWOT Analysis
Chapter 12. Winning Imperative for No-code AI Platform Market