Rising IoT Adoption Driving Growth In No-Code Machine Learning Market: An Emerging Driver Transforming The No-Code Machine Learning Market Landscape

The No-Code Machine Learning Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Projected Growth of the No-Code Machine Learning Market?
The no-code machine learning market size will grow from $1.1 billion in 2024 to $1.45 billion in 2025 at a compound annual growth rate (CAGR) of 31.0%. The growth in the historic period is attributed to increasing demand for user-friendly tools, need for cost-effective machine learning solutions, use of cloud-based no-code platforms, awareness of machine learning benefits among non-technical users, and the rise of low-code and no-code platforms.

The no-code machine learning market size is projected to grow to $4.21 billion by 2029, at a CAGR of 30.6%. Growth is attributed to the demand for accessible AI tools, adoption across sectors, cloud computing, pre-built machine learning templates, and reducing the technical skills barrier. Trends include AI-driven personalization, IoT applications, predictive analytics, and self-service analytics.

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What Are the Different No-Code Machine Learning Market Segments?
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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What Are the Primary Drivers Shaping the No-Code Machine Learning Market?
The growing adoption of the Internet of Things (IoT) is expected to drive the growth of the no-code machine learning market. IoT refers to the network of connected devices that share data over the internet to improve operational efficiency. The adoption of IoT is driven by its ability to enhance efficiency, reduce costs, and foster automation across industries. No-code machine learning is increasingly used in IoT applications to create and manage machine learning models without requiring deep technical knowledge. For instance, Ericsson projected that the number of IoT-connected devices globally would grow from 13.2 billion in 2022 to 34.7 billion by 2028. Therefore, the rise in IoT adoption is fueling the growth of the no-code machine learning market.

Which Companies Are Leading in the No-Code Machine Learning Market?
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

What Trends Are Expected to Dominate the No-Code Machine Learning Market in the Next 5 Years?
Companies in the no-code machine learning market are developing tools to automate workflows and enable non-technical users to create machine learning models without coding. For instance, Amazon, a US-based technology company, launched SageMaker Canvas in December 2023, a no-code machine learning tool designed for business analysts and non-technical users. It enables easy model creation, data preparation, and training for tasks like customer churn prediction and fraud detection.

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What Are the Top Revenue-Generating Geographies in the No-Code Machine Learning Market?
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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the No-Code Machine Learning Market?
2. What is the CAGR expected in the No-Code Machine Learning Market?
3. What Are the Key Innovations Transforming the No-Code Machine Learning Industry?
4. Which Region Is Leading the No-Code Machine Learning Market?

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