Market Overview
The Global
No-Code AI Platform Market size is projected to be
valued at USD 4.7 billion by the end of 2024 which is further forecasted to reach a value of
USD 82.6 billion in 2033 at a CAGR of 37.5%.
The global no-code AI platform market has witnessed rapid growth in recent years, pushed by the growing demand for AI solutions that require minimum coding knowledge. These platforms empower users to create and install AI models without tremendous technical expertise, democratizing AI development throughout diverse industries. The market is characterized by its ability to streamline AI projects, lessen development time, and decrease costs associated with hiring specialized AI experts.
Key market players are constantly innovating to improve their abilities of no-code AI tools, integrating advanced machine learning algorithms and user-friendly interfaces.
The adoption of those systems is expected to surge as organizations are seeking efficient methods to leverage AI for improving operational performance consumer experience, and decision-making processes. The market's increase is further supported with the aid of the rising demand for AI-driven applications in sectors along with BFSI, healthcare, retail, and manufacturing.
The US No-Code AI Platform Market
The US no-code AI platform market is expected to show huge potential as it is anticipated to be valued at USD 1.5 billion in 2024 at a CAGR of 37.5%. This market is experiencing a rapid boom, fueled by the increasing demand for AI solutions that are easy to put in force and do now not require extensive programming abilities.
This marketplace is driven by the need for groups to quickly broaden and install AI applications to get a competitive edge over other companies. The presence of primary tech businesses and startups innovating in this space has drastically contributed to the marketplace's growth.
Additionally, the extensive adoption of AI in sectors inclusive of finance, healthcare, and retail is propelling the marketplace growth. The US market is characterized by way of a high degree of funding in AI technology and a strong awareness of enhancing consumer experience and operational efficiency through AI-driven solutions. The marketplace is poised to enlarge extensively during the forecast period, driven by the growing need for accessible AI solutions throughout small and medium-sized establishments and large corporations alike.
The Europe No-Code AI Platform Market
The Europe no-code AI platform market is growing hastily, driven by way of growing rapidly due to the rising demand for
artificial intelligence solutions across numerous industries. European groups like Appway (Switzerland), Celonis (Germany), and Betty Blocks (Netherlands) are the leading players in this region who are leading this market. The marketplace boom is supported by sturdy funding in AI technology, supportive government initiatives and policies that are promoting digital transformation, and a strong focus on improving operational efficiency & customer experience. Companies like Appway, Celonis, Unqork, Betty Blocks, Simplifier, and Landbot from this region are showing great growth potential for the upcoming period.
In Switzerland, companies including Levity AI GmbH are making large strides which is working as a revolution for this region’s growth. These platforms enable companies to deploy AI models without massive coding, democratizing AI adoption. As major European corporations are now leveraging artificial intelligence solutions and services, the marketplace is expected to extend notably at some point in the forecast period.
Key Takeaways
- Market Size: The Global No-Code AI Platform Market size is projected to be valued at USD 82.6 billion in 2033 from a base value of USD 4.7 billion by the end of 2024 at a CAGR of 37.5%.
- By Offering Segment Analysis: Solutions are projected to exert their prominence in the offering segment due to their large consumer base and variety of products which result in them holding the highest market share in 2024.
- By Enterprise Size Segment Analysis: Large enterprises are forecasted to dominate this segment as it is projected to hold the highest market share in 2024.
- By Technology Segment Analysis: Predictive analytics is projected to dominate the global no-code artificial intelligence market in the technology segment as it holds 29.1% of the market share in 2024.
- By Data Modality Segment Analysis: Text modulation is anticipated to dominate this market as it is projected to hold 33.2% of the revenue share by the end of 2024.
- By Vertical Segment Analysis: BFSI is projected to dominate this market in the context of vertical as it is anticipated to hold the highest market share in 2024.
- Regional Analysis: North America is expected to dominate the global no-code AI Platform Market as it is forecasted to hold 38.2% of the market share in 2024.
Use Cases:
- Customer Service Automation: No-code AI platforms permit companies to set up AI-driven chatbots and digital assistants that manage client inquiries, supplying 24/7 support and improving customer satisfaction.
- Predictive Maintenance: Manufacturers use no-code AI equipment to predict equipment failure, decreasing downtime and renovation costs by analyzing sensor data and identifying patterns indicative of potential issues.
- Fraud Detection: Financial institutions install AI models to detect fraudulent transactions in real-time, enhancing protection and reducing financial losses by way of figuring out unusual patterns and behaviors.
- Marketing Optimization: Businesses utilize no-code AI systems to analyze consumer data, optimize advertising and marketing campaigns, and enhance targeting techniques, resulting in higher conversion rates and better ROI.
Market Dynamic
Trends
Increased Adoption of AIOrganizations are moving towards the implementation of no-code AI solutions to transform AI into a more innovative framework that anyone can implement. It lets every person without a background in technology build and implement their AI models, thereby boosting the industry’s growth. The no-code AI application tools in particular reduce the requirements for the programming skills of the users to enable diverse classes of people to use the AI technology and hence foster innovation in this niche.
Integration with Cloud Services
The integration of no-code AI platforms with cloud services allows organizations to scale, access, and deploy more effective AI solutions because of the nature of the no-code approach. No-code AI platforms that run under the cloud offer the advantage of speed of deployment, low capital investment, and infrastructure to match which makes it possible for businesses to adopt AI technologies under minimal investment in IT infrastructure.
Growth Drivers
Demand for Automation
Advancements in AI technology and the rising need to automate processes across diverse sectors favor the implementation of no-code AI solutions for the enhancement of various business processes. Automating processes with the help of no-code AI solutions eliminates low-value-added tasks, optimizes budgets, and helps organizations concentrate on value-creation processes.
Cost Reduction
AI no-code platforms significantly lower the demand for professional AI solutions, making development cheaper for industries of any size, thus contributing to market growth. These platforms include interfaces that SMEs can easily navigate and pre-built models making it easier for SMEs to implement AI without investing in technical applications, thus empowering everyone in their usage of artificial intelligence.
Growth Opportunities
SME Adoption
The fact that SMEs are more attracted to this market, and the increasing trend by SMEs to adopt no-code AI tools means more opportunities are available for firms with AI capabilities for use in no-code AI applications with minor investment in technology. The EMN capability of no-code AI platforms can deliver improved operational efficiency in SMEs, increased customer satisfaction, and new product development, thereby pushing market growth.
Expansion into Emerging Markets
The no-code AI platform’s opportunities for growth stem from the advancement into emerging market areas, while organizations in these regions integrate the technology into their workflows. It outlines opportunities in emerging markets that have not yet introduced No-code AI platforms to enable local business entities to gain competitive advantages by enhancing productivity, cutting costs, and introducing novelties.
Restraints
Limited Customization
Despite the benefits of no-code AI platforms such as simplicity and flexibility when using them, they may not afford an enterprise the ability to allow the customization necessary in securities fraud detection and other areas where AI applications are complex and unique. Some complex AI development projects may not benefit from no-code platforms due to a lack of customizable algorithms or specific features, thus requiring conventional AI development methods.
Data Privacy Concerns
These include privacy and security concerns when it comes to sharing and processing data, which may pose a problem, especially when embraced in industries that have very strict regulatory measures on data usage. Regional regulations like the GDPR in Europe define strict rules regarding the usage and storage of data, which might be somewhat problematic for no-code AI platform sellers and buyers, thus affecting the market’s growth.
Research Scope and Analysis
By Offering
Solutions are projected to dominate the no-code artificial intelligence platform market as is one of the most sought-after by customers which results in being its dominant force in the offering segment. The solutions segment holds the major share in the no-code AI platform market because of its vast range of services that it address to the requirements of different organizations and businesses. Solutions are grouped into reporting & visualization, AutoML, automation (Flow Builder Tools, Conversation AI Building Tools, Business Process Automation tools), and Others. These tools help to make AI more accessible and easier to implement for enterprises so the firms do not need to have strong programming skills to build and implement the AI models.
Cloud-based deployment goes even a step further to provide easy access and usage, thus making Artificial Intelligence more appealing to an even broader market of companies. The dominance of the solutions segment is influenced by the growing need for efficient adoption of AI-integrated solutions and optimization of organizational performance. This is especially true as companies aim to create even more complex and efficient solutions, which is why the segment of solutions is steadily strengthening its position in the market. Another reason for the growth of this segment is that more businesses are now opting for cloud deployment as compared to on-premise solutions, this is because cloud solutions are flexible, cost-effective, and are implemented much faster.
By Enterprise Size
Large enterprises are projected to dominate this market as they are forecasted to hold the highest market share in 2024. Such enterprises may need high-quality and efficient AI applications to accommodate and process large volumes of data as well as complicated business procedures. Large enterprises can easily implement and deploy AI models using no-code AI platforms, thus enhancing the clarity of the business processes and the decision-making procedure. Also, big businesses are more likely to spend heavily on AI tools and services to improve their operational efficiency and innovativeness. The integration of the no-code AI platforms with the systems and infrastructures already in place within any business is another factor that makes them more suitable for large organizations.
The flavor of the decade becomes more apparent as to organizations using AI for business planning, figuring out ways to improve customer satisfaction, or making changes to save money, the need for no-code AI platforms increases. Ensuring constant reign in the no-code AI platform market, the market is focused on offering extensive solutions for large enterprises, including professional services for consulting, deployment, and support services.
By Technology
Predictive analytics is projected to dominate the no-code AI platform market as it is projected to hold 29.1% of the market share in 2024 because of its critical function in helping organizations forecast future trends and make data-based predictions. No-code AI platforms enable users to leverage predictive analytics without requiring significant coding talents, democratizing access to advanced data analysis tools. These systems allow companies to research historical information, identify patterns, and predict outcomes, improving strategic making plans and operational performance.
Predictive analytics is especially valued in industries together with finance, healthcare, retail, and production, where market trends, customer behaviors, and potential risks are essential. The integration of predictive analytics with different AI technologies, consisting of
natural language processing and
machine learning, similarly enhances its abilities, making it a cornerstone of AI-pushed decision-making. As companies increasingly depend upon data to drive growth and innovation, the demand for consumer-friendly predictive analytics tools inside no-code AI platforms continues to rise, solidifying its dominance in the market.
By Data Modality
Text modality is projected to dominate the no-code AI platform market as it is anticipated to
hold 33.2% of the market share in 2024 Text modality is used most in no-code AI platforms and is of primary importance because it is commonly used in different applications. Nothing is surprising in the abundance of textual data in the modern world, as well as in the successful usage of this type of data in various business processes, starting from customers’ communication and finishing with tickets, documents, and social network data. AI platforms with no coding that are focused mostly on text analysis can help companies work with huge amounts of textual information and analyze them to their advantage without a need to know how to code.
They enable tasks like sentiment analysis, text classification, language translation, and automated content creation, which improve decision-making and business processes. Credibly, text modality is overwhelmingly dominant concerning its flexibility and broad usability in various fields such as customer relations, business promotion, health, and banking. Given the fact that organizations keep on creating and using text data the need for no-code artificial intelligence that can work with this data is likely to remain high, thus, maintaining the relevance of the text modality.
By Application
Workflow automation stands out as the leading no-code AI platform in the application segment owing to the efficiency it brings to different businesses. The application of no-code AI allows organizations to integrate automation into previously manual processes, improve productivity, and reduce the margin of error while requiring minimal coding expertise. Workflows are defined as applications that enable the design, deployment, and management of automated and optimized business processes. It is especially important in industries, like manufacturing, finance, healthcare, and retail ones, as the increase in efficiency always means tangible performance improvements and optimized costs.
Workflow automation, as a part of an essential no-code AI concept of business digitalization, is the means to deliver sheer performance while the intuitive interfaces for frontrunners make such solutions relevant and efficient to help businesses embrace the change accelerated by market evolutions. Looking at the future, increased requirements for operational productivity and cost optimization should keep the leadership of the no-code AI platform market in terms of workflow automation.
By Vertical
The BFSI sector dominates the no-code AI platform market due to its extensive reliance on data-driven processes and the need for high levels of accuracy and compliance. No-code AI platforms enable BFSI organizations to automate a wide range of tasks, including fraud detection, risk assessment, customer onboarding, and loan processing, without requiring specialized AI development skills. This democratizes AI, allowing financial institutions to quickly implement and benefit from AI solutions. Additionally, the regulatory environment in BFSI demands rigorous documentation and reporting, which no-code platforms can streamline efficiently. The ability to rapidly deploy AI models and adjust to regulatory changes makes these platforms invaluable to BFSI companies.
Moreover, the cost savings and operational efficiencies gained through automation contribute to their widespread adoption in this sector. As a result, the BFSI vertical holds a significant share of the no-code AI platform market and is expected to maintain its leading position throughout the forecast period.
The No-Code AI Platforms Market Report is segmented on the basis of the following
By Offering
- Solutions
- By Type
- Reporting & Visualization Tools
- AutoML Platforms
- Automation Platforms
- Flow Builder Tools
- Conversational AI Building Tool
- Business Process Automation Tools
- Others
- Others
- By Deployment Mode
- Services
- Professional Services
- Consulting Services
- Deployment & Integration Services
- Support & Maintenance Services
- Managed Services
By Enterprise Size
By Technology
- Predictive Analytics
- Natural Language Processing
- Deep Learning
- Data Preparation and Integration Tools
- Automated Machine Learning (AutoML)
- Computer Vision
By Data Modality
- Text
- Image
- Video
- Audio & Speech
- Multimodal
By Application
- Workflow Automation
- Text Translation & Generation
- Platform Building
- Chatbot & Virtual Assistants
- Predictive Lead Scoring
- Digital Workflow Design
- Visual Recognition & Object Detection
- Predictive Customer Churn
- Other Applications
By Vertical
- BFSI
- Retail & eCommerce
- Automotive, Transportation & Logistics
- Government & Defense
- Healthcare & Life Sciences
- Telecommunications
- Energy & Utilities
- Manufacturing
- Agriculture
- IT/ITeS
- Media & Entertainment
- Other Verticals
Regional Analysis
North America is projected to dominate the global no-code AI platform market as it is anticipated to hold 38.9% of the market share in 2024. North America holds the highest market share for the no-code AI platform market due to the region’s technological development, frequent deployment of AI solutions, and presence of many major market players. The region is strongly developed in terms of the presence of tech companies and start-ups that work in the field of AI development and implementation.
Furthermore, it targets enterprise entities from North America that have considerable amounts of funding to allocate to new technologies, such as no-code AI. Another factor that contributes to the adoption of these platforms is the availability of skilled professionals in these areas and a favorable regulatory climate. Furthermore, the need for no-code AI solutions in the North American region is fuelled by the strategic priority of digital transformation and automation across industries such as BFSI, healthcare, and retail.
Following North America, Europe is anticipated to show growth at a significant rate in the upcoming period of 2024 to 2033. Europe's no-code AI platform market is growing at a very high rate due to rapidly growing research in AI, because of government support and growing awareness in every sector. The focus on digitalization and competitiveness of the region positively influences the use of no-code AI solutions. Essentially, the country that can be highlighted as the key player in this process is Switzerland since it has emphasized the role of technological progress and has a well-developed startup culture. Businesses in Switzerland are using no-code AI tools to build unique AI programs in finance, health care, and production industries. Many companies in this region like Swisscom, Codeless Platforms, Levity AI GmbH, Peltarion, data robot, H2O.ai, and Starmind are some of the prominent regional companies that are playing a significant role in the growth of this market in the European region.
By Region
North America
Europe
- Germany
- The U.K.
- France
- Italy
- Russia
- Spain
- Benelux
- Nordic
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- ANZ
- ASEAN
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Rest of Latin America
Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Israel
- Egypt
- Rest of MEA
Competitive Landscape
The no-code AI platform marketplace is characterized by intense competition amongst key players who are continuously innovating and focusing on R&D to offer advanced solutions. Leading agencies inclusive of Google, Microsoft, and Amazon Web Services dominate the market with their great resources and established client base. These tech giants provide comprehensive no-code AI tools that enable businesses to create and set up AI applications without extensive coding knowledge.
Additionally, emerging startups and specialized vendors like Levity AI GmbH are gaining traction by supplying niche solutions tailored to precise industry needs. The market dynamics are pushed using the regular evolution of AI technology and the growing demand for user-friendly structures that democratize AI development. Strategic partnerships, acquisitions, and continuous product development are usual strategies adopted by market players to preserve their competitive edge. As the adoption of no-code AI platforms grows across numerous sectors, the aggressive landscape is anticipated to remain dynamic, with new entrants and progressive solutions shaping the market during the forecast period.
Some of the prominent players in the Global No-Code AI Platform Market are
- Akkio Inc.
- Amazon.com, Inc.
- Swisscom
- Microsoft
- AI Bridge
- AI Foundation
- Starmind
- H2O.ai
- Levity AI GmbH
- Codeless Platforms
- Unqork
- OutSystems
- Mendix
- Appway
- Betty Blocks
- Apple Inc.
- Simplifier
- Caspio, Inc.
- DataRobot, Inc.
- Google LLC
- Levity AI GmbH
- Other Key Players
Recent Development
May 2024
- IBM and Salesforce expanded their partnership to advance open, trusted AI and data ecosystems, combining IBM Watson with Salesforce Einstein. This collaboration aims to offer greater customer choice, responsible AI development, and industry-specific solutions to enhance customer experiences while safeguarding data. The integration accelerates AI adoption through IBM Consulting and a diverse partner ecosystem.
April 2024
- C3 AI and Google Cloud partnered to democratize generative AI with no-code tools on the Google Cloud Marketplace, making it more accessible to enterprises. This partnership allows more companies to benefit from the technology, improve access to data, boost productivity, and deliver better-personalized experiences.
- Google unveiled Vertex AI Agent Builder, a no-code tool designed to streamline the creation of AI agents. This tool simplifies the process of building and deploying conversational agents, empowering users to train and guide them for enhanced performance efficiently.
October 2023
- Salesforce announced the acquisition of Airkit.ai, bolstering its Service Cloud division by integrating AI-powered customer service solutions. This addition enriches the ecosystem for more advanced AI-driven customer experiences and solidifies Salesforce's leadership in AI-driven customer engagement.
- CyborgIntell unveiled two new offerings tailored for the BFSI sector: Feature Store and Model Risk Management (MRM). Feature Store is a zero-code AI platform that automates the creation of thousands of new features from raw data, significantly reducing data preparation time by 90%. This empowers financial institutions to analyze various aspects of their transactions, including behaviors, patterns, habits, preferences, risks, and relationships.
- Akkio Inc. introduced Generative Reports, an AI tool that transforms data into actionable insights instantly. This tool enables small and medium businesses to connect their data, describe projects, and automatically generate real-time reports. It offers a self-service solution for optimizing marketing spend, lead scoring, revenue forecasting, and enhancing customer experiences.
May 2023
- Microsoft made an undisclosed investment in Builder.ai. This strategic collaboration aimed to integrate Builder.ai's AI assistant, Natasha, into Microsoft Teams video and chat software, enabling customers to create business apps seamlessly within the platform. Additionally, Builder.ai planned to enhance Natasha's capabilities by incorporating Microsoft's AI algorithms to achieve a more human-like conversational experience.
April 2023
- Amazon Web Services unveiled Amazon Bedrock, a cloud service that allows developers to integrate artificial intelligence systems into their applications. It includes features similar to OpenAI's ChatGPT and is part of the release of generative AI development tools for Amazon Web Services.
March 2023
- Google LLC launched Gen App Builder, a new product designed to empower programmers in developing advanced generative AI applications without machine learning proficiency. This product launch was aimed at enabling developers to seamlessly integrate experience into applications and websites.
June 2023
- Amazon Web Services launched AppFabric, a no-code offering designed to lower operational expenses associated with constructing point-to-point solutions and to increase application observability to design SaaS integration for businesses.
February 2023
- Amazon Web Services joined hands with Hugging Face, an American company that designs tools for creating applications. Under this collaboration, both companies would focus on model deployment and training for generative AI applications.
Report Details
| Report Characteristics |
| Market Size (2024) |
USD 4.7 Bn |
| Forecast Value (2033) |
USD 82.6 Bn |
| CAGR (2024-2033) |
37.5% |
| Historical Data |
2018 – 2023 |
| The US Market Size (2024) |
USD 1.5 Bn |
| Forecast Data |
2024 – 2033 |
| Base Year |
2023 |
| Estimate Year |
2024 |
| Report Coverage |
Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc. |
| Segments Covered |
By Offering (Solutions, and Services), By Enterprise Size (Large Enterprise, and SMEs), By Technology (Predictive Analytics, Natural Language Processing, Deep Learning, Data Preparation and Integration Tools, Automated Machine Learning (AutoML), and Computer Vision), By Data Modality (Text, Image, Video, Audio & Speech, and Multimodal), By Application (Workflow Automation, Text Translation & Generation, Platform Building, Chatbot & Virtual Assistants, Predictive Lead Scoring, Digital Workflow Design, Visual Recognition & Object Detection, Predictive Customer Churn, and Other Applications), and, By Vertical (BFSI, Retail & eCommerce, Automotive, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Telecommunications, Energy & Utilities, Manufacturing, Agriculture, IT/ITeS, Media & Entertainment, and Other Verticals) |
| Regional Coverage |
North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
|
| Prominent Players |
Akkio Inc., Amazon Inc., Swisscom, Codeless Platforms, Unqork, OutSystems, Mendix, Appway, Betty Blocks, Apple Inc., Simplifier, Caspio Inc., DataRobot, Inc., Google LLC, Levity AI GmbH, Microsoft, Quickbase Inc., and Other Key Players |
| Purchase Options |
HVMN Inc., Thync Global Inc., Apple Inc., Fitbit Inc., TrackmyStack, OsteoStrong, The ODIN, Thriveport LLC, Muse, Moodmetric, and Other Key Players |
Frequently Asked Questions
The Global No-Code AI Platforms Market is expected to reach a valuation of USD 4.7 billion in 2024 and
USD 82.2 billion in 2033.
The expected CAGR for the Global No-Code AI Platforms Market is 37.5% for the forecast period (2024-
2033).
North America is expected to dominate the Global No-Code AI Platforms Market with a maximum share
of 38.9% in 2024.
Some of the prominent players in the Global No-Code AI Platforms Market include Akkio Inc., Amazon
Inc., Swisscom, Codeless Platforms, Unqork, OutSystems, Mendix, Appway, Betty Blocks, Apple Inc., etc.