No-Code Machine Learning Market Global Report 2026

Published Feb 12, 2026

Length 250 Pages

SKU # BRC20889079

Description

No-Code Machine Learning Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses no-code machine learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
Create regional and country strategies on the basis of local data and analysis.
Identify growth segments for investment.
Outperform competitors using forecast data and the drivers and trends shaping the market.
Understand customers based on end user analysis.
Benchmark performance against key competitors based on market share, innovation, and brand strength.
Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
All data from the report will also be delivered in an excel dashboard format.

Description:

Where is the largest and fastest growing market for no-code machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The no-code machine learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

Markets Covered: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

Companies Mentioned: 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

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.

Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa

Time Series: Five years historic and ten years forecast.

Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,

Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.

Please Note: Report will be updated with the latest data and delivered to you within 2-3 working days of order.

1. Executive Summary: 1.1. Key Market Insights (2020-2035); 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots; 1.3. Major Factors Driving the Market; 1.4. Top Three Trends Shaping the Market
2. No-Code Machine Learning Market Characteristics: 2.1. Market Definition & Scope; 2.2. Market Segmentations; 2.3. Overview of Key Products and Services; 2.4. Global No-Code Machine Learning Market Attractiveness Scoring And Analysis; 2.4.1. Overview of Market Attractiveness Framework; 2.4.2. Quantitative Scoring Methodology; 2.4.3. Factor-Wise Evaluation; Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation; 2.4.4. Market Attractiveness Scoring and Interpretation; 2.4.5. Strategic Implications and Recommendations
3. No-Code Machine Learning Market Supply Chain Analysis: 3.1. Overview of the Supply Chain and Ecosystem; 3.2. List Of Key Raw Materials, Resources & Suppliers; 3.3. List Of Major Distributors and Channel Partners; 3.4. List Of Major End Users
4. Global No-Code Machine Learning Market Trends And Strategies: 4.1. Key Technologies & Future Trends; 4.1.1 Artificial Intelligence & Autonomous Intelligence; 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity; 4.1.3 Industry 4.0 & Intelligent Manufacturing; 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems; 4.1.5 Fintech, Blockchain, Regtech & Digital Finance; 4.2. Major Trends; 4.2.1 Low-Code/No-Code Adoption; 4.2.2 Automated Model Tuning; 4.2.3 Citizen Data Scientist Enablement; 4.2.4 Drag-And-Drop AI Workflows; 4.2.5 Pre-Built Ml Templates
5. No-Code Machine Learning Market Analysis Of End Use Industries: 5.1 Banking, Financial Services And Insurance (Bfsi); 5.2 Healthcare; 5.3 Retail; 5.4 Information Technology (It) And Telecom; 5.5 Manufacturing
6. No-Code Machine Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market
7. Global No-Code Machine Learning Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis: 7.1. Global No-Code Machine Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints); 7.2. Global No-Code Machine Learning Market Size, Comparisons And Growth Rate Analysis; 7.3. Global No-Code Machine Learning Historic Market Size and Growth, 2020 - 2025, Value ($ Billion); 7.4. Global No-Code Machine Learning Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)
8. Global No-Code Machine Learning Total Addressable Market (TAM) Analysis for the Market: 8.1. Definition and Scope of Total Addressable Market (TAM); 8.2. Methodology and Assumptions; 8.3. Global Total Addressable Market (TAM) Estimation; 8.4. TAM vs. Current Market Size Analysis; 8.5. Strategic Insights and Growth Opportunities from TAM Analysis
9. No-Code Machine Learning Market Segmentation: 9.1. Global No-Code Machine Learning Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Platform, Services; 9.2. Global No-Code Machine Learning Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Cloud-Based, On-Premise; 9.3. Global No-Code Machine Learning Market, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Banking, Financial Services And Insurance (BFSI), Healthcare, Retail, Information Technology(IT) And Telecom, Manufacturing, Government; 9.4. Global No-Code Machine Learning Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Predictive Analytics, Process Automation, Data Visualization, Business Intelligence, Customer Relationship Management, Supply Chain Optimization; 9.5. Global No-Code Machine Learning Market, Sub-Segmentation Of Platform, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; 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; 9.6. Global No-Code Machine Learning Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Consulting Services, Implementation Services, Training and Education Services, Support And Maintenance Services, Custom Solution Development Services
10. No-Code Machine Learning Market, Industry Metrics By Country: 10.1. Global No-Code Machine Learning Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $; 10.2. Global No-Code Machine Learning Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
11. No-Code Machine Learning Market Regional And Country Analysis: 11.1. Global No-Code Machine Learning Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; 11.2. Global No-Code Machine Learning Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
12. Asia-Pacific No-Code Machine Learning Market: 12.1. Asia-Pacific No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 12.2. Asia-Pacific No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
13. China No-Code Machine Learning Market: 13.1. China No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 13.2. China No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
14. India No-Code Machine Learning Market: 14.1. India No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
15. Japan No-Code Machine Learning Market: 15.1. Japan No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 15.2. Japan No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
16. Australia No-Code Machine Learning Market: 16.1. Australia No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
17. Indonesia No-Code Machine Learning Market: 17.1. Indonesia No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
18. South Korea No-Code Machine Learning Market: 18.1. South Korea No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 18.2. South Korea No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
19. Taiwan No-Code Machine Learning Market: 19.1. Taiwan No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 19.2. Taiwan No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
20. South East Asia No-Code Machine Learning Market: 20.1. South East Asia No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 20.2. South East Asia No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
21. Western Europe No-Code Machine Learning Market: 21.1. Western Europe No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 21.2. Western Europe No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
22. UK No-Code Machine Learning Market: 22.1. UK No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
23. Germany No-Code Machine Learning Market: 23.1. Germany No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
24. France No-Code Machine Learning Market: 24.1. France No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
25. Italy No-Code Machine Learning Market: 25.1. Italy No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
26. Spain No-Code Machine Learning Market: 26.1. Spain No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
27. Eastern Europe No-Code Machine Learning Market: 27.1. Eastern Europe No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 27.2. Eastern Europe No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
28. Russia No-Code Machine Learning Market: 28.1. Russia No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
29. North America No-Code Machine Learning Market: 29.1. North America No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 29.2. North America No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
30. USA No-Code Machine Learning Market: 30.1. USA No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 30.2. USA No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
31. Canada No-Code Machine Learning Market: 31.1. Canada No-Code Machine Learning Market Overview; Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 31.2. Canada No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
32. South America No-Code Machine Learning Market: 32.1. South America No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 32.2. South America No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
33. Brazil No-Code Machine Learning Market: 33.1. Brazil No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
34. Middle East No-Code Machine Learning Market: 34.1. Middle East No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 34.2. Middle East No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
35. Africa No-Code Machine Learning Market: 35.1. Africa No-Code Machine Learning Market Overview; Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies; 35.2. Africa No-Code Machine Learning Market, Segmentation By Offering, Segmentation By Deployment Mode, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
36. No-Code Machine Learning Market Regulatory and Investment Landscape
37. No-Code Machine Learning Market Competitive Landscape And Company Profiles: 37.1. No-Code Machine Learning Market Competitive Landscape And Market Share 2024; 37.1.1. Top 10 Companies (Ranked by revenue/share); 37.2. No-Code Machine Learning Market - Company Scoring Matrix; 37.2.1. Market Revenues; 37.2.2. Product Innovation Score; 37.2.3. Brand Recognition; 37.3. No-Code Machine Learning Market Company Profiles; 37.3.1. Apple Create ML Overview, Products and Services, Strategy and Financial Analysis; 37.3.2. Microsoft Azure Machine Learning Studio Overview, Products and Services, Strategy and Financial Analysis; 37.3.3. Amazon Web Services Overview, Products and Services, Strategy and Financial Analysis; 37.3.4. SAS Viya Overview, Products and Services, Strategy and Financial Analysis; 37.3.5. DataRobot Inc Overview, Products and Services, Strategy and Financial Analysis
38. No-Code Machine Learning Market Other Major And Innovative Companies: 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
39. Global No-Code Machine Learning Market Competitive Benchmarking And Dashboard
40. Key Mergers And Acquisitions In The No-Code Machine Learning Market
41. No-Code Machine Learning Market High Potential Countries, Segments and Strategies: 41.1. No-Code Machine Learning Market In 2030 - Countries Offering Most New Opportunities; 41.2. No-Code Machine Learning Market In 2030 - Segments Offering Most New Opportunities; 41.3. No-Code Machine Learning Market In 2030 - Growth Strategies; 41.3.1. Market Trend Based Strategies; 41.3.2. Competitor Strategies
42. Appendix: 42.1. Abbreviations; 42.2. Currencies; 42.3. Historic And Forecast Inflation Rates; 42.4. Research Inquiries; 42.5. The Business Research Company; 42.6. Copyright And Disclaimer

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