Top Trends Transforming the No-Code Machine Learning Market Landscape in 2025: Advancements In No-Code Machine Learning

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What Will the No-Code Machine Learning Industry Market Size Be by 2025?
The market for no-code machine learning has seen a significant surge in size over the past few years. It is set to expand from $1.1 billion in 2024 to $1.45 billion in 2025, representing a compound annual growth rate (CAGR) of 31.0%. Factors contributing to this growth in the historic period include a heightened demand for tools that are easy to use, a growing need for cost-efficient machine learning solutions, a rise in the usage of cloud-based no-code platforms, increased understanding among non-technical users of the benefits machine learning offers, and an increasing interest in low-code and no-code platforms.

What's the Long-Term Growth Forecast for the No-Code Machine Learning Market Size Through 2029?
In the coming years, the no-code machine learning market is projected to experience a surge in growth, with its worth escalated to $4.21 billion by 2029, reflecting a compound annual growth rate (CAGR) of 30.6%. Factors contributing to the growth during this period include a surge in demand for user-friendly AI tools, an increased application of AI across numerous industries, the expanding use of cloud computing, the rising availability of turnkey machine learning templates, and an emphasis on minimizing the technical skill obstacles. Key trends anticipated during this forecast period encompass breakthroughs in technology, AI-driven customization, IoT integrations, predictive analytics, and self-service analytics.

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What Are the Key Growth Drivers Fueling the No-Code Machine Learning Market Expansion?
The growth of the no-code machine learning market is forecasted to be fuelled by the escalating adoption of the Internet of Things (IoT). The Internet of Things is a system of interrelated devices and systems that exchange and communicate data over the internet, automating tasks and ameliorating operational efficiency. The deployment of IoT is rising owing to its capabilities to enhance operational efficiency, offer immediate data insights, facilitate automation and remote surveillance, lower expenses, augment decision-making, and inspire innovation across numerous industries by synergizing and optimizing a multitude of devices and systems. No-code machine learning is increasingly becoming essential in the Internet of Things to support the creation, deployment, and management of machine learning models without extensive technical knowledge. For instance, Ericsson, a renowned network and telecommunications firm based in Sweden, disclosed in November 2022 that the count of worldwide IoT-connected devices is predicted to surge from 13.2 billion in 2022 to 34.7 billion by 2028. Hence, the escalating adoption of the Internet of Things (IoT) is catalyzing the expansion of the no-code machine learning market.

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What Are the Key Trends Driving No-Code Machine Learning Market Growth?
Key players in the no-code machine learning marketplace are concentrated on enhancing advanced technology to boost workflow automation, such as no-code machine learning instruments. These tools allow users to develop and introduce machine learning models without the need for coding, making it more user-friendly for non-technical individuals. For example, in December 2023, Amazon, an American tech firm, introduced SageMaker Canvas, a no-code machine learning tool specifically tailored to aid users with no coding skills in building machine learning models. Aimed at business analysts and non-technical users, this tool offers a simple-to-use interface for effortless model creation, data organization, and training. Vital uses include predicting customer defection, identifying fraud, and optimizing inventory.

How Is the No-Code Machine Learning Market Segmented?
The no-code machine learningmarket covered in this report is segmented -

1) By Offering: Platform, Services
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Industry Vertical: Banking, Financial Services And Insurance (BFSI), Healthcare, Retail, Information Technology(IT) And Telecom, Manufacturing, Government
4) By Application: Predictive Analytics, Process Automation, Data Visualization, Business Intelligence, Customer Relationship Management, Supply Chain Optimization

Subsegments:
1) By Platform: Automated Machine Learning Platforms (AutoML), Drag-and-Drop Machine Learning Platforms, Model Deployment Platforms, Data Preparation Platforms, Visualization Aand Reporting Platforms, Integration Platforms for APIs And Data Sources
2) By Services: Consulting Services, Implementation Services, Training and Education Services, Support And Maintenance Services, Custom Solution Development Services

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Which Companies Are Leading the Charge in No-Code Machine Learning Market Innovation?
Major companies operating in the no-code machine learning market are Apple Create ML, Microsoft Azure Machine Learning Studio, Amazon Web Services, SAS Viya, DataRobot Inc., LityxIQ, H2O.ai, Dataiku DSS, C3 AI Suite, RapidMiner Studio, BigML Inc., Google Teachable Machine, Edge Impulse, Microsoft Lobe, KNIME Analytics Platform, MonkeyLearn, Akkio AI, Obviously AI, Runway ML, Fritz AI, Sway AI, PyCaret, Ever AI, Neural Designer

Which Regions Are Leading the Global No-Code Machine Learning Market in Revenue?
North America was the largest region in the no-code machine learning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the no-code machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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