No-code AI Platform Market Size, Share, and Industry Analysis, By Deployment (On-premise and Cloud), By Enterprise Type (Small and Mid-sized Enterprises (SMEs) and Large Enterprises), By Technology (Data Preparation and Integration tools, Predictive Analysis, Automated Machine Learning, Natural Language Processing, Computer Vision, Others), By Industry (BFSI, IT and Telecom, Energy and Utilities, Retail and E-Commerce Education, Healthcare, and Others), and Regional Forecast, 2025-2032

The global no-code AI platform market is anticipated to exhibit significant growth as the platforms help boost corporate productivity and expansion by automating repetitive operations, data analysis, and enabling quick decision-making.

No-code AI platform relates to an easy-to-use toolbox that allows businesses to create AI solutions without having to write complicated code. By utilizing automation, artificial intelligence, and data analytics, businesses may streamline processes, reduce costs, and make informed choices.

• According to the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending, the global spending on artificial intelligence (AI) has been estimated to have reached USD 154 billion in 2023, up 26.9% from 2022. This spending includes software, hardware, and services for AI-centric systems.

The COVID-19 pandemic had a big influence on how AI was adopted, especially no-code platforms. These platforms became popular as they allowed for quick implementation without requiring a lot of coding knowledge. As data scientists become more aware of the potential and constraints of AI, human collaboration becomes more crucial. AI applications were essential for public communication, healthcare planning, and other aspects of the health crisis.

Impact of Generative AI on the No-code AI Platform Market

The demand for enterprise applications is rising globally in the current environment. The essential differentiator for success in this rapid shift is no-code platforms as the huge demand for new applications cannot be effectively met by traditional approaches to software development.

No-code technologies are expected to be used in 70% of new applications produced by businesses by 2025, up from less than 25% in 2020. Although generative AI provides serious obstacles to no-code platform's future survival, it also presents chances for the advancement of these technologies. It might be more fruitful to think about how AI can make existing platforms stronger, more effective, and easier to use rather than seeing generative AI as the end of these platforms. Instead of deciding between generative AI and no-code solutions, the future may involve combining their advantages to produce a new class of development tools.

No-code AI Platform Market Driver

Demand for Automation and Cost Reduction

Advances in AI technology and the need to automate processes across various industries, support the use of no-code AI solutions to improve business processes. AI no-code platforms dramatically reduce the demand for expert AI solutions, lowering development costs for industries of all sizes and contributing to market growth.

• According to industry experts, 70% of new corporate apps will employ low-code or no-code platforms by 2025, indicating a rising shift toward automation and cost effectiveness in the tech industry.

No-code AI Platform Market Restraint

Managing Modifications and Simplicity in No-code AI platforms May Hamper Market Growth

No-Code Al platforms have democratized Al development, but their limited customization options can hinder market growth. They rely on pre-built models and a structured framework, restricting users from making significant adjustments. This inflexibility can be problematic for organizations with unique requirements or complex use cases. To address this, platforms should balance simplicity and customization, offering advanced options for users with greater control over their Al models.

• According to a Microsoft statement from 2023, while no-code AI systems such as Azure AI are becoming more accessible, they are sometimes criticized for having limited customization possibilities, which might limit their efficacy for complex use cases. This demonstrates the constant problem of balancing simplicity with the desire for more extensive customization choices.

No-code AI Platform Market Driver Opportunity

Limited Customization and Data Privacy Concerns

Despite the benefits of no-code AI platforms, they may not provide organizations with the flexibility required for complicated AI applications. Privacy and security issues about data sharing and processing can be difficult to address, particularly in businesses with stringent data usage regulations.

• According to industry experts, 48% of firms adopting no-code platforms are concerned about limited flexibility and data protection, underlining the need for platforms that address these issues while adhering to tight data standards.

Segmentation

Key Insights

The report covers the following key insights:

• Micro Macro Economic Indicators


• Drivers, Restraints, Trends, and Opportunities


• Business Strategies Adopted by Key Players


• Impact of Generative AI on the No-code AI Platform Market


• Consolidated SWOT Analysis of Key Players

Analysis By Deployment:

Based on deployment, the market is segmented into on-premise and cloud.

In 2023, the on-premises segment led the market with 56.0% revenue due to its high data safety and security benefits. Enterprises prefer this model for improved efficiency and cost reduction.

The cloud segment is expected to grow at a significant CAGR due to its centralized storage and accessibility. Google's Gen App Builder, a new generative AI tool, enables developers to create AI applications without extensive coding or advanced machine learning skills.

• In July 2023, Google spent USD 2 billion on cloud infrastructure enhancements, using sophisticated AI tools such as Gen App Builder to improve cloud-based generative AI capabilities. This highlights the growing trend of cloud installations, where centralized storage and real-time access are crucial.

Analysis By Enterprise Type:

The large enterprises segment held the largest revenue share of 75.0% due to the implementation of AI technology and data science. No-code AI platforms automate processes, improve operational effectiveness, and lower costs.

The SMEs segment is expected to grow at a significant CAGR owing to the rising adoption of no-code platforms to drive growth and gain a competitive edge. These platforms offer a cost-effective alternative to traditional methods, eliminating the need for extensive coding and skilled professionals.

• In 2023, IBM adopted a no-code AI platform throughout its operations, automating more than 40% of internal functions such as customer assistance and data analytics. This highlights how huge businesses are using no-code AI technology to increase productivity and minimize the need for substantial coding, allowing for quicker scaling.

Analysis By Technology:

Natural language processing (NLP) is the leading technology in the AI market, with a 55.6% revenue share in 2023. NLP enables AI systems to understand and interpret human language, allowing for the creation of intuitive applications such as virtual assistants and chatbots.

The computer vision segment is projected to grow at a significant CAGR, allowing for tasks such as image recognition and object detection without extensive coding. Viso.ai's low-code AI vision platform enables custom deep learning and computer vision applications.

• In May 2023, Viso.ai introduced a low-code AI platform for computer vision applications, allowing organizations to create unique AI models for picture identification and object detection without requiring considerable programming experience. This platform enables businesses to construct AI-powered visual systems more effectively, fostering innovation in areas such as security and manufacturing.

Analysis By Industry:

The IT and telecom sector is expected to lead the market in 2023, with the no-code AI platform automating operational tasks, improving customer service, and enhancing network performance.

AI solutions for fraud detection, risk assessment, and financial advice are increasingly popular in the banking and financial services industry. Furthermore, banking and financial enterprises are adopting AI for fraud detection and risk management, with Accenture reporting a 45% rise in AI investments in this sector.

• In June 2023, Accenture established a USD 1 billion AI innovation fund to assist financial institutions in implementing AI-based fraud detection and risk management technologies. This program is intended to simplify banking procedures, resulting in faster and more secure financial services.

Regional Analysis

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North America holds the largest market share based on the region's high adoption rate of AI solutions, technological improvements, and a number of significant market players.

The U.S. market in particular is predicted to exhibit considerable potential. The dominance is due to the consumer desire for AI solutions that are simple to use and do not require advanced programming knowledge.

• Microsoft has been recognized as a Leader in the No-Code Solutions Omdia Universe for 2023–2024. Since Microsoft Copilot is closely connected across the Microsoft Power Platform, creators can use generative AI to create web pages, apps, automations, and custom copilots that are updated on a regular basis. Power Apps meets the needs of both amateur and expert developers with a wide range of features for beginners and a quick development speed for professionals.

The market for no-code AI platforms in Europe is expanding quickly due to the rising need for AI solutions in a variety of industries. Leading contenders are European companies, such as Betty Blocks (Netherlands), Celonis (Germany), and Appway (Switzerland). Strong investments in AI technology, encouraging government programs fostering digital transformation, and an emphasis on enhancing customer satisfaction and operational effectiveness all contribute to the region's progress.

Distribution of the No-code AI Platform Market, By Region of Origin:

• North America – 38.2%


• South America – 5.4%


• Europe – 32%


• Middle East & Africa – 2.4%


• Asia Pacific – 22%

Key Players Covered

• Apple Inc. (U.S.)


• Amazon Inc. (U.S.)


• Google LLC (U.S.)


• Microsoft Corporation (U.S.)


• DataRobot Inc. (U.S.)


• QuickBase Inc. (U.S.)


• Akkio Inc. (U.S.)


• Caspio Inc. (U.S.)


• Clarifai Inc. (U.S.)


• Levity AI GmbH (Germany)

Key Industry Developments

• May 2024: To improve AI capabilities for cutting-edge customer experiences, IBM and Salesforce deepened their collaboration by integrating IBM Watson with Salesforce Einstein.


• April 2024: Through the Google Cloud Marketplace’s, no-code technologies, C3 AI and Google Cloud are working together to democratize generative AI.


• October 2023: CyborgIntell introduces two new platforms that feature Store and Model Risk Management for BFSI sector, automating data preparation and enabling financial institutions to analyze transaction patterns, habits, and risks.