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1662620

2030 年無程式碼 AI 平台市場預測：按組件類型、使用者類型、部署模式、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球無程式碼 AI 平台市場預計在 2024 年將達到 50 億美元，到 2030 年將達到 261 億美元，預測期內的複合年成長率為 31.6%。

使用戶無需程式設計知識即可創建、實施和維護人工智慧模型的平台和技術被稱為「無程式碼人工智慧」。這些平台提供具有拖放功能和預建模板的視覺化介面，使非技術用戶能夠為自動化、預測分析和資料處理等任務創建 AI 解決方案。無程式碼人工智慧讓人工智慧更加觸手可及，企業和個人無需深入的程式設計知識即可利用人工智慧的強大功能。

根據業內專家預測，到2025年，70%的新企業應用將建立在低程式碼或無程式碼平台上，這顯示科技業越來越注重自動化和成本效益。

對人工智慧解決方案的需求不斷增加

隨著企業努力在不依賴專業開發人員的情況下整合先進技術，市場對人工智慧解決方案的需求日益增加。企業正在尋求人工智慧驅動的工具來實現自動化、資料分析和客戶服務，以提高效率和決策能力。無程式碼平台透過提供一種可行的方式來實現人工智慧，實現更快的採用，增強非技術用戶的能力，並幫助各個領域的創新，進一步推動了市場成長。

資料隱私和安全問題

由於使用者可能不具備實施強力保障措施的專業知識，對資料隱私和安全的擔憂給市場帶來了重大挑戰。處理敏感資料會增加洩漏、未授權存取和濫用的風險。這些漏洞可能會削弱消費者的信任並阻礙無程式碼人工智慧平台的廣泛採用。這是因為企業優先考慮法規遵循和個人及專有資訊的安全處理。

無程式碼平台正在崛起

隨著企業和個人擴大尋求在沒有深厚技術專業知識的情況下利用人工智慧，市場正在迅速擴張。無程式碼平台使用戶能夠透過直覺的介面輕鬆建立 AI 模型、自動化工作流程和創建應用程式。人工智慧的民主化激發了創新、提高了生產力並降低了開發成本，使得人工智慧能夠應用於廣泛的行業並推動無程式碼平台的快速採用。

有限的自訂選項

無程式碼人工智慧平台提供有限的客製化選項，這可能會阻礙需要高度客製化解決方案的企業。雖然這些平台易於使用，但它們往往缺乏解決複雜、獨特需求和複雜流程所需的靈活性。這可能會迫使公司在功能和可擴展性上做出妥協，從而導致結果不理想。因此，用戶可能會開始超越這些平台並尋求更多可自訂的基於程式碼的替代方案來滿足他們不斷變化的需求。

COVID-19 的影響

隨著企業尋求有效的方法來適應遠距工作、實現流程自動化、解決勞動力短缺等問題，COVID-19 疫情加速了無程式碼 AI 平台的採用。數位轉型的需求日益成長，加上預算和技術資源的減少，導致了對方便用戶使用且經濟高效的解決方案的需求。無程式碼人工智慧使非技術用戶能夠快速採用人工智慧工具，從而使企業在不確定的時期保持競爭力並增強韌性。

預計商業用戶群在預測期內將佔最大佔有率

預計預測期內商業用戶群將佔據最大的市場佔有率。這些使用者包括負責人、分析師和計劃經理，他們利用無程式碼平台來自動化任務、分析資料和增強決策能力。透過授權業務使用者建立自己的 AI 模型和工作流程，無程式碼平台正在幫助組織加速創新、減少對 IT 團隊的依賴並提高業務效率。

預計預測期內醫療保健領域將以最高的複合年成長率成長。

預計醫療保健領域將在預測期內見證最高成長率。醫療保健專業人員和管理員使用這些平台來自動執行管理業務、分析患者資料並最佳化護理計劃，而無需專業知識。無程式碼人工智慧正在促進人工智慧主導的解決方案的快速實施，例如用於患者照護的預測分析，最終增強決策能力、降低成本並改善整體醫療保健體驗。

比最大的地區

在預測期內，北美預計將憑藉其強大的技術基礎設施佔據最大的市場佔有率。金融、醫療保健、零售和製造等領域的組織正在轉向無線平台來簡化業務、改善客戶體驗並推動創新。自動化的興起，加上對經濟高效、易於使用的人工智慧工具的需求，正在刺激北美採用無程式碼人工智慧平台。

複合年成長率最高的地區

在預測期內，由於非技術用戶對人工智慧解決方案的需求不斷增加，預計亞太地區將呈現最高的複合年成長率。推動該市場成長的關鍵因素包括自動化的興起、對具有成本效益的人工智慧解決方案的需求以及各種規模的組織擴大採用數位轉型策略。此外，一些新興經濟體，尤其是中國、印度、日本和韓國，正在增加對人工智慧主導創新的投資。

免費客製化服務

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章 全球無程式碼 AI 平台市場按組件類型分類

  • 介紹
  • 平台
    • 使用者介面 (UI)
    • AI 模型建構器
    • 資料處理和管理工具
    • AI演算法庫
    • 安全和存取管理
  • 服務
    • 專業服務
    • 培訓和入職
    • 技術支援
    • 自訂開發服務

6. 全球無程式碼 AI 平台市場按使用者類型分類

  • 介紹
  • 商業用戶
  • 資料科學家和人工智慧開發人員
  • IT 專業人士
  • 最終消費者

7. 全球無程式碼 AI 平台市場（依部署模式）

  • 介紹
  • 雲端基礎
  • 本地

第 8 章 全球無程式碼人工智慧平台市場（按應用）

  • 介紹
  • 自然語言處理 (NLP)
  • 電腦視覺
  • 機器人流程自動化 (RPA)
  • 預測分析
  • 其他

第9章 全球無程式碼 AI 平台市場（依最終用戶分類）

  • 介紹
  • 醫療
  • 零售與電子商務
  • 銀行和金融服務
  • 製造業
  • 教育
  • 其他

第 10 章。

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.