The global no-code AI platform market is projected to reach a valuation of USD 4,094.7 million in 2023. The no-code AI platform market is expected to reach USD 49,481.0 million by 2033 and exhibit growth at a CAGR of 28.3% from 2023 to 2033.
No-code AI platforms are referred to as AI development platforms which provide non-programmers and non-AI experts with the necessary tools that they need to implement AI projects. They can also be implemented by AI practitioners and experts for their projects.
No-code AI platforms may not possess the same ability as AI platforms which require programming and other expertise. But they still serve the important purpose of making use of AI for developing software and projects for a wider group of people and beginners. As per FMI, the no-code AI platform market holds about 16% of the global software development market.
An increasing number of AI companies across the globe is anticipated to bode well for the global market. As the number is increasing, the gap between domain experts and AI experts is also widening.
Moreover, in-depth knowledge of AI experts helps domain experts to solve their technology-related issues. No-code AI tools are expected to create new opportunities for domain experts to communicate better and test their ideas with AI experts.
| Attributes | Key Statistics |
|---|---|
| No-code AI Platform Market Estimated Size (2023) | USD 4,094.7 million |
| Projected Market Valuation (2033) | USD 49,481.0 million |
| Value-based CAGR (2023 to 2033) | 28.3% |
| Collective Value Share: Top 5 Vendors | Around 35% |
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The no-code AI platform market is projected to expand at 28.3% CAGR between 2023 and 2033. As per FMI, the market expanded at a CAGR of 13% in the historical period from 2018 to 2022.
Growth is attributed to the rapid evolution and implementation of AI and machine learning across the globe. Technologies like automated ML are gaining immense popularity as these solutions are meant for businesses that lack ML expertise.
Further, there has also been an increase in the adoption of IoT, edge computing, and data science solutions & services across various industries, which is expected to aid growth.
Urgent Need to Automate Tasks in Organizations to Drive Sales of No-code AI Platforms
Artificial intelligence and machine learning have been implemented in numerous industries and departments such as the human resource department of various companies over the past few years. Further, these technologies are mainly used for automating numerous tasks and developing programs & models to obtain real-time insights about several aspects of a company.
Not every employee in a company that uses AI platforms is aware of the development methods or has the correct technical expertise. To allow such individuals to interact with and develop AI platforms for their work, no-code AI platforms have been an essential tool. It is projected to drive the global market in the forecast period.
Key Players in the United States are Developing AI without Coding
| Country | The United States |
|---|---|
| Market Share % (2022) | 19.3% |
Several companies in the United States provide novel AI solutions and services for building mobile & desktop apps for businesses, automating workflows, and automated communication. Furthermore, many large-scale technology companies such as Neuralink, IBM, Microsoft, and Google are implementing AI for multiple applications in the United States.
Companies in India are inclined toward Low Code Machine Learning
| Country | India |
|---|---|
| Market CAGR % (2023 to 2033) | 32.3% |
Several enterprises in India have implemented AI solutions and services for their business purposes over the past few years. The majority of these companies had to shift to software and mobile application platforms irrespective of their domain because of the growing penetration of the internet in India.
Software development automation and analytics have witnessed high growth across the country over the last few years. Further, AI implementation has also witnessed growth in the education and government sectors. Owing to the aforementioned factors, India’s no-code AI platform market is expected to showcase a high CAGR of 32.3% in the forecast period.
Government in Japan to Deploy No-code Machine Learning in Educational Institutions
| Country | Japan |
|---|---|
| Market Share % (2022) | 4.3% |
Due to the growing aging population in Japan, the workforce in Japan is experiencing a decline. However, several companies in the country have started offering AI solutions and services to enhance workflow.
AI is also being developed by financial and chemical manufacturers in Japan, as well as government institutions. The government is focusing on equipping educational institutions with AI platforms. Thus, Japan’s no-code AI platform market is likely to expand at a CAGR of 33.8% in the evaluation period.
Demand for No-code AI Tools to Surge among Organizations
| Segment | No-code AI Tools |
|---|---|
| Market Share % (2022) | 64.3% |
The no-code AI tools segment is projected to generate a global market share of more than 64.3% in the assessment period. These tools require programming from users and provide them with compilers, programming assistance, software testing tools, and operation assistance.
Natural Language Processing Technology is Preferred by No-Code AI Tools Users
| Segment | Natural Language Processing |
|---|---|
| Market Share % (2022) | 43.3% |
Natural language processing (NLP) is a technology that is widely implemented in chatbots, language translators, and voice assistants. Chatbots and translators are being widely implemented by companies for their websites and internal use. For instance,
Healthcare Industry is Looking for Advanced No-code AI Builders
AI is being implemented in the healthcare sector to improve healthcare services and operations. Implementation of AI includes algorithms to identify patients’ health conditions, several operations such as booking appointments & filling prescriptions, and patient identification to increase the speed of tasks.
AI implementation can help healthcare workers automate or accelerate tasks that are time-consuming, simple, and require high effort. Also, AI can assist them to improve services for patients. For instance,
No-code AI platform developers are striving to provide several solution development tools to non-programmers. A few others are launching their platforms equipped with various features for multiple operations or specific purposes. For instance,
Google AutoML, Amazon Sagemaker, Microsoft Lobe: 3 No-code AI Platforms at the Forefront
Considering the need for non-AI experts to test their ideas and processes, many companies are now offering easy-to-access platforms. Google, Amazon, and Lobe are among the leading companies in the no-code AI platform space.
Google’s AutoML enables developers who have limited machine learning expertise to build high-quality models that pertain to their businesses. Additionally, Google announced the launch of this product in 2018 and since then, it has become one of the highly preferred platforms for non-AI experts.
The focus of Google is to develop a unique platform that requires minimal technical expertise. Therefore, it is building its product in such a way that it requires less coding. For instance,
The platform is compatible with 22 compliance programs such as PCI, HIPPA, and FedRAMP. It is currently being used by leading companies such as Aurora, AstraZeneca, Celgene, Lenovo, Hyundai, and Roche.
Amazon is also partnering with many artificial intelligence providers to drive innovation. For instance, Observe.AI is using the Amazon Sagemaker to build an intelligence workforce platform. Microsoft Lobe is another key platform in the no-code AI space.
The platform offers pre-built project templates such as image classification, object detection, and data classification. Lobe.ai was an individual entity and was bought by Microsoft in 2018.
| Attribute | Details |
|---|---|
| Estimated Market Size (2023) | USD 4,094.7 million |
| Projected Market Valuation (2033) | USD 49,481.0 million |
| Value-based CAGR (2023 to 2033) | 28.3% |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | Value (USD million) |
| Key Regions Covered | North America, Latin America, Europe, South Asia & Pacific, East Asia, and the Middle East & Africa |
| Key Countries Covered | The United States, Canada, Germany, The United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Australia & New Zealand, GCC Countries, and South Africa |
| Key Segments Covered | Solution, Technology, Enterprise Size, Industry, and Region |
| Key Companies Profiled | Clarifai Inc; Caspio Inc; Google; Amazon; Microsoft; Akkio Inc; Apteo; Runway; QuickBase Inc; AgilePoint Inc; MonkeyLearn; Levity; Intersect Labs; Apple; DataRobot Inc |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The United States may witness significant growth in the No-code AI Platform Market.
The increasing demand for AI solutions and the growing popularity of no-code development are expected to drive sales of No-code AI Platforms.
The growing adoption of cloud computing and the increasing availability of open-source AI tools are driving the No-code AI Platform Market.
The market recorded a CAGR of 13% in 2022.
Substantial investment in research and development and the development of new no-code AI platforms may provide growth prospects for the market players.
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No-code AI Platform Market
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