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市场调查报告书
商品编码
1662620

2030 年无程式码 AI 平台市场预测：按组件类型、使用者类型、部署模式、应用程式、最终用户和地区进行的全球分析

No-Code AI Platforms Market Forecasts to 2030 - Global Analysis By Component Type (Platform and Services), User Type, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球无程式码 AI 平台市场预计在 2024 年将达到 50 亿美元，到 2030 年将达到 261 亿美元，预测期内的复合年增长率为 31.6%。

使用户无需程式设计知识即可创建、实施和维护人工智慧模型的平台和技术被称为「无程式码人工智慧」。这些平台提供具有拖放功能和预建模板的视觉化介面，使非技术用户能够为自动化、预测分析和资料处理等任务创建 AI 解决方案。无程式码人工智慧让人工智慧更加触手可及，企业和个人无需深入的程式设计知识即可利用人工智慧的强大功能。

根据业内专家预测，到2025年，70%的新企业应用将建立在低程式码或无程式码平台上，这显示科技业越来越注重自动化和成本效益。

对人工智慧解决方案的需求不断增加

随着企业努力在不依赖专业开发人员的情况下整合先进技术，市场对人工智慧解决方案的需求日益增加。企业正在寻求人工智慧驱动的工具来实现自动化、资料分析和客户服务，以提高效率和决策能力。无程式码平台透过提供一种可行的方式来实现人工智慧，实现更快的采用，增强非技术用户的能力，并帮助各个领域的创新，进一步推动了市场成长。

资料隐私和安全问题

由于使用者可能不具备实施强有力保障措施的专业知识，对资料隐私和安全的担忧给市场带来了重大挑战。处理敏感资料会增加洩漏、未授权存取和滥用的风险。这些漏洞可能会削弱消费者的信任并阻碍无程式码人工智慧平台的广泛采用。这是因为企业优先考虑法规遵循和个人及专有资讯的安全处理。

无程式码平台正在崛起

随着企业和个人越来越多地寻求在没有深厚技术专业知识的情况下利用人工智慧，市场正在迅速扩张。无程式码平台使用户能够透过直觉的介面轻鬆建立 AI 模型、自动化工作流程和创建应用程式。人工智慧的民主化激发了创新、提高了生产力并降低了开发成本，使得人工智慧能够应用于广泛的行业并推动无程式码平台的快速采用。

有限的自订选项

无程式码人工智慧平台提供有限的客製化选项，这可能会阻碍需要高度客製化解决方案的企业。虽然这些平台易于使用，但它们往往缺乏解决复杂、独特需求和复杂流程所需的灵活性。这可能会迫使公司在功能和可扩展性上做出妥协，从而导致结果不理想。因此，用户可能会开始超越这些平台并寻求更多可自订的基于程式码的替代方案来满足他们不断变化的需求。

COVID-19 的影响

随着企业寻求有效的方法来适应远距工作、实现流程自动化、解决劳动力短缺等问题，COVID-19 疫情加速了无程式码 AI 平台的采用。数位转型的需求日益增长，加上预算和技术资源的减少，导致了对用户友好且经济高效的解决方案的需求。无程式码人工智慧使非技术用户能够快速采用人工智慧工具，从而使企业在不确定的时期保持竞争力并增强韧性。

预计商业用户群在预测期内将占最大份额

预计预测期内商业用户群将占据最大的市场占有率。这些使用者包括负责人、分析师和计划经理，他们利用无程式码平台来自动化任务、分析资料和增强决策能力。透过授权业务使用者建立自己的 AI 模型和工作流程，无程式码平台正在帮助组织加速创新、减少对 IT 团队的依赖并提高业务效率。

预计预测期内医疗保健领域将以最高的复合年增长率成长。

预计医疗保健领域将在预测期内见证最高成长率。医疗保健专业人员和管理员使用这些平台来自动执行管理业务、分析患者资料并优化护理计划，而无需专业知识。无程式码人工智慧正在促进人工智慧主导的解决方案的快速实施，例如用于患者照护的预测分析，最终增强决策能力、降低成本并改善整体医疗保健体验。

比最大的地区

在预测期内，北美预计将凭藉其强大的技术基础设施占据最大的市场占有率。金融、医疗保健、零售和製造等领域的组织正在转向无线平台来简化业务、改善客户体验并推动创新。自动化的兴起，加上对经济高效、易于使用的人工智慧工具的需求，正在刺激北美采用无程式码人工智慧平台。

复合年增长率最高的地区

在预测期内，由于非技术用户对人工智慧解决方案的需求不断增加，预计亚太地区将呈现最高的复合年增长率。推动该市场成长的关键因素包括自动化的兴起、对具有成本效益的人工智慧解决方案的需求以及各种规模的组织越来越多地采用数位转型策略。此外，一些新兴经济体，尤其是中国、印度、日本和韩国，正在增加对人工智慧主导创新的投资。

免费客製化服务

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场参与企业（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球无程式码 AI 平台市场按组件类型划分

  • 介绍
  • 平台
    • 使用者介面 (UI)
    • AI 模型建构器
    • 资料处理和管理工具
    • AI演算法库
    • 安全和存取管理
  • 服务
    • 专业服务
    • 培训和入职
    • 技术支援
    • 自订开发服务

6. 全球无程式码 AI 平台市场按使用者类型划分

  • 介绍
  • 商业用户
  • 资料科学家和人工智慧开发人员
  • IT 专业人士
  • 最终消费者

7. 全球无程式码 AI 平台市场（依部署模式）

  • 介绍
  • 云端基础
  • 本地

第 8 章 全球无程式码人工智慧平台市场（按应用）

  • 介绍
  • 自然语言处理 (NLP)
  • 电脑视觉
  • 机器人流程自动化 (RPA)
  • 预测分析
  • 其他的

第九章 全球无程式码 AI 平台市场（依最终用户划分）

  • 介绍
  • 医疗
  • 零售与电子商务
  • 银行和金融服务
  • 製造业
  • 教育
  • 其他的

第 10 章。

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • DataRobot Inc.
  • IBM
  • Levity AI GmbH
  • Amazon Inc.
  • Clarifai Inc.
  • Google
  • Caspio Inc.
  • QuickBase Inc.
  • Sift Science
  • AWS
  • Bubble
  • Apple Inc.
  • Akkio Inc.
  • RunwayML
  • Microsoft Corporation
Product Code: SMRC28481

According to Stratistics MRC, the Global No-Code AI Market is accounted for $5.0 billion in 2024 and is expected to reach $26.1 billion by 2030 growing at a CAGR of 31.6% during the forecast period. Platforms or technologies that let users create, implement, and maintain artificial intelligence models without the need for programming knowledge are known to as "no-code AI." These platforms offer visual interfaces with drag-and-drop features and pre-built templates, enabling non-technical users to create AI solutions for tasks like automation, predictive analytics, and data processing. No-Code AI makes artificial intelligence more accessible, allowing businesses and individuals to leverage AI's capabilities without requiring deep programming knowledge, thus accelerating innovation and reducing barriers to entry.

According to industry experts, 70% of new corporate apps will employ low-code or no-code platforms by 2025, indicating a rising shift toward automation and cost effectiveness in the tech industry.

Market Dynamics:

Driver:

Increasing demand for AI solutions

The demand for AI solutions in the market is rising as organizations strive to integrate advanced technologies without relying on specialized developers. Businesses seek AI-driven tools for automation, data analysis, and customer service to improve efficiency and decision-making. No-code platforms provide an accessible way to implement AI, enabling faster adoption, empowering non-technical users, and supporting innovation across various sectors, further fueling the market's growth.

Restraint:

Data privacy and security concerns

Data privacy and security concerns pose significant challenges in the market, as users may lack the expertise to implement robust safeguards. With sensitive data being processed, there is a heightened risk of breaches, unauthorized access, or misuse. These vulnerabilities can erode consumer trust and hinder widespread adoption of no-code AI platforms, as businesses prioritize compliance with regulations and ensuring secure handling of personal and proprietary information.

Opportunity:

Rising popularity of no-code platforms

The market is rapidly growing as businesses and individuals increasingly seek to leverage artificial intelligence without deep technical expertise. No-code platforms empower users to build AI models, automate workflows, and create applications easily through intuitive interfaces. This democratization of AI fosters innovation, enhances productivity, and reduces development costs, making AI accessible to a broader range of industries and driving the surge in no-code platform adoption.

Threat:

Limited customization options

Limited customization options in no-code AI platforms can hinder businesses that require highly tailored solutions. While these platforms offer ease of use, they often lack the flexibility needed to address complex, unique needs or intricate processes. This can lead to suboptimal outcomes, forcing companies to compromise on functionality or scalability. As a result, users may outgrow these platforms, seeking more customizable, code-based alternatives to meet their evolving requirements.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of no-code AI platforms as businesses sought efficient ways to adapt to remote work, automate processes, and address labor shortages. The increased need for digital transformation, coupled with reduced budgets and technical resources, drove demand for user-friendly, cost-effective solutions. No-code AI empowered non-technical users to quickly implement AI tools, enabling businesses to stay competitive and resilient during uncertain times.

The business users segment is expected to be the largest during the forecast period

The business users segment is expected to account for the largest market share during the forecast period. These users, including marketers, analysts, and project managers, leverage no-code platforms to automate tasks, analyze data, and enhance decision-making. By enabling business users to build AI models and workflows independently, no-code platforms empower organizations to innovate faster, reduce reliance on IT teams, and improve operational efficiency.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate. Medical professionals and administrators use these platforms to automate administrative tasks, analyze patient data, and optimize treatment plans without needing technical expertise. No-code AI facilitates faster implementation of AI-driven solutions, such as predictive analytics for patient care, ultimately enhancing decision-making, reducing costs, and improving the overall healthcare experience.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to the region's strong technological infrastructure. Businesses in sectors like finance, healthcare, retail, and manufacturing are leveraging no-code platforms to streamline operations, enhance customer experiences, and drive innovation. The rise of automation, coupled with the need for cost-effective and accessible AI tools, is fueling the widespread adoption of no-code AI platforms in North America.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by increasing demand for AI solutions that are accessible to non-technical users. Key factors fueling the market's growth include the rise of automation, the need for cost-effective AI solutions, and the growing adoption of digital transformation strategies by organizations of all sizes. Additionally, it is home to several emerging economies, is witnessing increasing investments in AI-driven innovations, especially from countries like China, India, Japan, and South Korea.

Key players in the market

Some of the key players in No-Code AI market include DataRobot Inc., IBM, Levity AI GmbH, Amazon Inc., Clarifai Inc., Google, Caspio Inc., QuickBase Inc., Sift Science, AWS, Bubble, Apple Inc., Akkio Inc., RunwayML and Microsoft Corporation.

Key Developments:

In May 2024, IBM and Salesforce expand partnership to advance open, trusted AI and data ecosystems, combining IBM Watsonx with Salesforce Einstein for greater customer choice, responsible AI development, and industry-specific solutions to enhance customer experiences while safeguarding data and accelerating AI adoption through IBM Consulting and diverse partner ecosystem.

In April 2024, C3 AI and Google Cloud have partnered to democratize generative AI with no-code tools on the Google Cloud Marketplace, making it more accessible to enterprises. This enables more companies to benefit from the technology and improve access to data, boost productivity, and deliver better personalized experiences.

Component Types Covered:

  • Platform
  • Services

User Types Covered:

  • Business Users
  • Data Scientists and AI Developers
  • IT Professionals
  • End Consumers

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises

Applications Covered:

  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotic Process Automation (RPA)
  • Predictive Analytics
  • Other Applications

End Users Covered:

  • Healthcare
  • Retail and E-Commerce
  • Banking and Financial Services
  • Manufacturing
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global No-Code AI Market, By Component Type

  • 5.1 Introduction
  • 5.2 Platform
    • 5.2.1 User Interface (UI)
    • 5.2.2 AI Model Builder
    • 5.2.3 Data Processing and Management Tools
    • 5.2.4 AI Algorithm Library
    • 5.2.5 Security and Access Management
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Training and Onboarding
    • 5.3.3 Technical Support
    • 5.3.4 Custom Development Services

6 Global No-Code AI Market, By User Type

  • 6.1 Introduction
  • 6.2 Business Users
  • 6.3 Data Scientists and AI Developers
  • 6.4 IT Professionals
  • 6.5 End Consumers

7 Global No-Code AI Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud-Based
  • 7.3 On-Premises

8 Global No-Code AI Market, By Application

  • 8.1 Introduction
  • 8.2 Natural Language Processing (NLP)
  • 8.3 Computer Vision
  • 8.4 Robotic Process Automation (RPA)
  • 8.5 Predictive Analytics
  • 8.6 Other Applications

9 Global No-Code AI Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare
  • 9.3 Retail and E-Commerce
  • 9.4 Banking and Financial Services
  • 9.5 Manufacturing
  • 9.6 Education
  • 9.7 Other End Users

10 Global No-Code AI Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 DataRobot Inc.
  • 12.2 IBM
  • 12.3 Levity AI GmbH
  • 12.4 Amazon Inc.
  • 12.5 Clarifai Inc.
  • 12.6 Google
  • 12.7 Caspio Inc.
  • 12.8 QuickBase Inc.
  • 12.9 Sift Science
  • 12.10 AWS
  • 12.11 Bubble
  • 12.12 Apple Inc.
  • 12.13 Akkio Inc.
  • 12.14 RunwayML
  • 12.15 Microsoft Corporation

List of Tables

  • Table 1 Global No-Code AI Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global No-Code AI Market Outlook, By Component Type (2022-2030) ($MN)
  • Table 3 Global No-Code AI Market Outlook, By Platform (2022-2030) ($MN)
  • Table 4 Global No-Code AI Market Outlook, By User Interface (UI) (2022-2030) ($MN)
  • Table 5 Global No-Code AI Market Outlook, By AI Model Builder (2022-2030) ($MN)
  • Table 6 Global No-Code AI Market Outlook, By Data Processing and Management Tools (2022-2030) ($MN)
  • Table 7 Global No-Code AI Market Outlook, By AI Algorithm Library (2022-2030) ($MN)
  • Table 8 Global No-Code AI Market Outlook, By Security and Access Management (2022-2030) ($MN)
  • Table 9 Global No-Code AI Market Outlook, By Services (2022-2030) ($MN)
  • Table 10 Global No-Code AI Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 11 Global No-Code AI Market Outlook, By Training and Onboarding (2022-2030) ($MN)
  • Table 12 Global No-Code AI Market Outlook, By Technical Support (2022-2030) ($MN)
  • Table 13 Global No-Code AI Market Outlook, By Custom Development Services (2022-2030) ($MN)
  • Table 14 Global No-Code AI Market Outlook, By User Type (2022-2030) ($MN)
  • Table 15 Global No-Code AI Market Outlook, By Business Users (2022-2030) ($MN)
  • Table 16 Global No-Code AI Market Outlook, By Data Scientists and AI Developers (2022-2030) ($MN)
  • Table 17 Global No-Code AI Market Outlook, By IT Professionals (2022-2030) ($MN)
  • Table 18 Global No-Code AI Market Outlook, By End Consumers (2022-2030) ($MN)
  • Table 19 Global No-Code AI Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 20 Global No-Code AI Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 21 Global No-Code AI Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 22 Global No-Code AI Market Outlook, By Application (2022-2030) ($MN)
  • Table 23 Global No-Code AI Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 24 Global No-Code AI Market Outlook, By Computer Vision (2022-2030) ($MN)
  • Table 25 Global No-Code AI Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)
  • Table 26 Global No-Code AI Market Outlook, By Predictive Analytics (2022-2030) ($MN)
  • Table 27 Global No-Code AI Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 28 Global No-Code AI Market Outlook, By End User (2022-2030) ($MN)
  • Table 29 Global No-Code AI Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 30 Global No-Code AI Market Outlook, By Retail and E-Commerce (2022-2030) ($MN)
  • Table 31 Global No-Code AI Market Outlook, By Banking and Financial Services (2022-2030) ($MN)
  • Table 32 Global No-Code AI Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 33 Global No-Code AI Market Outlook, By Education (2022-2030) ($MN)
  • Table 34 Global No-Code AI Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.