No-Code AI Platform Market Size & Analysis for North America, Europe, APAC, South America, Middle East and Africa - US, UK, France, Germany, China – 2025-2029

No-Code AI Platform Market Size 2025-2029

The no-code AI platform market size is forecast to increase by USD 15-19 billion at a CAGR of 30%-33% between 2024 and 2029. Exact values for this market can be accessed upon purchasing the report.

The market is experiencing significant growth, driven by several key trends. One such trend is the increasing adoption of AI solutions by non-technical users and small businesses that are leveraging these platforms to automate tasks and improve operational efficiency. Another key trend is the integration of no-code AI platforms with various cloud-based services and APIs, which enable businesses to build AI applications with minimal technical expertise.

The rise of digital transformation across industries and the growing need for personalized customer experiences are also accelerating the demand for no-code AI solutions. However, the market faces challenges such as data privacy concerns, the complexity of integrating AI into legacy systems, and the need for skilled professionals to oversee deployment and maintain these systems. To stay competitive, companies must focus on simplifying user experiences, addressing security concerns, and expanding platform capabilities to cater to a broader range of industries. Overall, the market is expected to grow rapidly, driven by these trends and challenges.

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How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2025-2029, as well as historical data from 2019-2024 for the following segments.

Deployment Mode

• Cloud-Based
• On-Premises

Industry

• Healthcare
• Energy
• BFSI
• Retail
• IT & Telecom
• Others

Geography

• North America
  • Canada
  • US
• APAC
  • China
  • India
  • Japan
  • South Korea
• Europe
  • Germany
  • UK
  • France
• South America
  • Brazil
• Middle East and Africa

Deployment Mode Insights

Cloud-based no-code AI platforms are gaining significant traction due to their scalability, lower upfront costs, and accessibility for businesses of all sizes. These platforms are particularly popular in industries like healthcare, finance, and retail, where businesses need to quickly deploy AI solutions without the need for in-house AI expertise. The rise of Software-as-a-Service (SaaS) solutions and the growth of public cloud services are driving this trend. On-premises deployments, while less popular, still cater to businesses with strict data security or compliance requirements, such as government agencies or large enterprises.

Regional Analysis

The North American market is witnessing robust growth, driven by the increasing adoption of no-code AI platforms by tech-savvy businesses in the US and Canada. Companies across various sectors, including finance, healthcare, and retail, are leveraging these platforms for enhanced automation, personalized customer experiences, and data analytics. Meanwhile, the APAC region, led by China and India, is expected to experience the fastest growth due to the rapid digital transformation across industries and increasing smartphone penetration. In Europe, countries like the UK, Germany, and France are witnessing strong demand for AI solutions, fueled by the need for better data-driven decision-making.

Market Dynamics

Our no-code AI platform market researchers analyzed data from 2024 as the base year, with a focus on key drivers, trends, and challenges. Understanding these dynamics will help businesses refine their strategies and gain a competitive edge in the market.

What are the key market drivers leading to the rise in adoption of No-Code AI Platforms?

The increasing democratization of AI is a key driver of the market. With no-code platforms, businesses without specialized AI knowledge can develop powerful AI models for various applications, such as customer service automation, predictive analytics, and marketing. Furthermore, the demand for cost-effective AI solutions that reduce the time to market is boosting the adoption of no-code platforms. The rapid digitalization of businesses, along with the growing need to automate processes and improve decision-making, are also contributing to the market's expansion.

What are the market trends shaping the No-Code AI Platform Market?

The trend toward platform interoperability is shaping the market. No-code AI platforms are increasingly integrating with third-party services and tools, allowing users to build custom AI solutions that work seamlessly within their existing infrastructure. Additionally, there is a growing focus on improving user experience and creating intuitive interfaces, ensuring that business users without technical skills can easily build and manage AI applications. Another trend is the rise of AI-driven customer service tools, such as chatbots and virtual assistants, powered by no-code platforms.

What challenges does the No-Code AI Platform Market face?

Security and data privacy concerns are key challenges affecting the market. As businesses rely more on AI-powered platforms for decision-making, ensuring the protection of sensitive data becomes paramount. Integrating no-code AI solutions with existing IT infrastructure can also be complex, especially for legacy systems. Additionally, while no-code platforms reduce the need for specialized technical skills, there is still a demand for skilled professionals to manage the deployment, customization, and optimization of AI solutions.

Key Companies & Market Insights

Companies are adopting various strategies, including partnerships, mergers and acquisitions, and expanding their product offerings to strengthen their position in the market. Leading companies are also focusing on improving the accessibility and functionality of their no-code AI platforms to meet the growing demand. This market research report includes detailed analyses of the competitive landscape of the market and information on close to 20 key companies, including:

• Google Cloud
• Microsoft Corporation
• Amazon Web Services (AWS)
• IBM Corporation
• Zoho Corporation
• UiPath
• Automation Anywhere
• DataRobot
• Trifacta
• Prediction.io

Market Scope

Base Year	2024
Forecast Period	2025-2029
Market Size	USD 15-19 Billion
Market Growth	30%-33%
Deployment Mode	Cloud-Based On-Premises
Industry	Healthcare Energy BFSI Retail IT & Telecom Others
Regional Landscape	North America Europe APAC South America Middle East and Africa
Key Companies Profiled	Google Cloud Microsoft Corporation Amazon Web Services (AWS) IBM Corporation Zoho Corporation UiPath Automation Anywhere DataRobot Trifacta Prediction.io Others

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How the Benefits of a Technavio Market Research Report Can Empower Your Business

Technavio’s reports provide a range of market insights, including:

• A detailed analysis of the market, featuring market size, growth rate, segmentation, and regional performance
• In-depth analysis of the drivers, challenges, and other dynamics that will impact the growth of the market
• Predictions about upcoming trends and changes in consumer behavior
• Detailed information on key market players, including market positioning, product offerings, and more

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

• 2.2 Criticality of inputs and factors of differentiation
  • Overview on criticality of inputs and factors of differentiation

• 2.3 Factors of disruption
  • Overview on factors of disruption

• 2.4 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029

3 Market Landscape

• 3.1 Market ecosystem
  • Parent Market
  • Data Table on - Parent Market

• 3.2 Market characteristics
  • Market characteristics analysis

• 3.3 Value chain analysis
  • Value chain analysis

4 Market Sizing

• 4.1 Market definition
  • Offerings of companies included in the market definition

• 4.2 Market segment analysis
  • Market segments

• 4.3 Market size 2024

• 4.4 Market outlook: Forecast for 2024-2029
  • Chart on Global Market - Market size and forecast 2024-2029 ($ billion)
  • Data Table on Global Market - Market size and forecast 2024-2029 ($ billion)
  • Chart on Global Market: Year-over-year growth 2024-2029 (%)
  • Data Table on Global Market: Year-over-year growth 2024-2029 (%)

5 Historic Market Size

• 5.1 Global Market 2019 - 2023
  • Historic Market Size - Data Table on Global Market 2019 - 2023 ($ billion)

• 5.2 Segment Analysis 2019 - 2023
  • Historic Market Size – Segment Analysis 2019 - 2023 ($ billion)

• 5.4 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ billion)

6 Qualitative Analysis

• 6.1 Impact of AI on the Global Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029

• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029

• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029

• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029

• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029

• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029

• 7.7 Market condition
  • Chart on market condition - Five forces 2024 and 2029

8 Market Segmentation

• 8.1 Market segments
  • Chart on Segmentation - Market share 2024-2029 (%)
  • Data Table on Segmentation - Market share 2024-2029 (%)

• 8.2 Segment Comparison
  • Chart on Comparison
  • Data Table on Comparison

• 8.3 Segment Market Opportunity
  • Market opportunity ($ billion)
  • Data Table on Market Opportunity ($ billion)

9 Customer Landscape

• 9.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

10 Geographic Landscape

• 10.1 Geographic segmentation
  • Chart on market share by geography 2024-2029 (%)
  • Data Table on market share by geography 2024-2029 (%)

• 10.2 Geographic comparison
  • Chart on Geographic comparison
  • Data Table on Geographic comparison

• 10.3 Market opportunity by geography
  • Market opportunity by geography ($ billion)
  • Data Tables on Market opportunity by geography ($ billion)

11 Drivers, Challenges, and Opportunity/Restraints

• 11.1 Market drivers

• 11.2 Market challenges

• 11.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029

• 11.4 Market opportunities/restraints

12 Competitive Landscape

• 12.1 Overview

• 12.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation

• 12.3 Landscape disruption
  • Overview on factors of disruption

• 12.4 Industry risks
  • Impact of key risks on business

13 Competitive Analysis

• 13.1 Companies profiled
  • Companies covered

• 13.2 Company ranking index
  • Company ranking index

• 13.3 Market positioning of companies
  • Matrix on companies position and classification

14 Appendix

• 14.1 Scope of the report

• 14.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist

• 14.3 Currency conversion rates for US$
  • Currency conversion rates for US$

• 14.4 Research methodology
  • Research methodology

• 14.5 Data procurement
  • Information sources

• 14.6 Data validation
  • Data validation

• 14.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing

• 14.8 Data synthesis
  • Data synthesis

• 14.9 360 degree market analysis
  • 360 degree market analysis

• 14.10 List of abbreviations
  • List of abbreviations