市場調查報告書
商品編碼
1481758
全球無程式碼人工智慧平台市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢和預測Global No-code AI Platform Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球無程式碼人工智慧平台市場需求預計將從 2023 年的 40.2 億美元達到 2032 年近 419.9 億美元的市場規模,2024-2032 年研究期間複合年成長率為 29.78%。
無程式碼 AI 平台是一種軟體工具或平台,使用戶無需具備豐富的編碼或程式設計知識即可建置和部署人工智慧 (AI) 應用程式和解決方案。這些平台提供直覺的圖形介面、拖放功能以及預先建立的人工智慧模型和演算法,允許用戶使用視覺化元件和工作流程建立自訂人工智慧應用程式。它實現了人工智慧開發和部署的民主化,使業務用戶、公民開發人員和主題專家能夠利用人工智慧的力量來實現各種用例,例如預測分析、自然語言處理、圖像識別和流程自動化。
各行業對人工智慧驅動的解決方案的需求不斷成長,需要易於存取且方便用戶使用的工具,使非技術用戶能夠利用人工智慧的力量。無程式碼人工智慧平台消除了對編碼技能的需求,從而使人工智慧開發民主化,允許業務用戶、領域專家和公民資料科學家在不依賴傳統程式設計方法的情況下建立和部署機器學習模型。人工智慧的民主化使組織能夠利用人工智慧驅動的見解和自動化來加速創新、提高營運效率並獲得競爭優勢。此外,資料分析任務的複雜性不斷增加以及熟練的資料科學家和人工智慧工程師的短缺推動了市場的成長。
此外,數位轉型的不斷成長趨勢和基於雲端的技術的採用促進了無程式碼人工智慧平台的部署和可擴展性,使組織能夠快速適應不斷變化的市場動態和客戶需求。此外,無程式碼人工智慧平台與現有業務應用程式和工作流程(例如企業資源規劃、客戶關係管理和行銷自動化系統)的整合增強了其可用性和互通性,推動了市場擴張。此外,電腦視覺、自然語言處理 (NLP) 和預測分析等人工智慧技術的進步正在擴大從金融和醫療保健到製造和零售等各個行業的用例和功能。然而,替代性低程式碼和傳統程式設計平台的出現可能會挑戰未來幾年的市場成長。
研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外,這些工具也對全球無程式碼人工智慧平台市場的各個細分市場進行了包容性評估。無程式碼人工智慧平台產業的成長和趨勢為本研究提供了整體方法。
無程式碼人工智慧平台市場報告的這一部分提供了國家和地區層面細分市場的詳細資料,從而幫助策略家確定相應產品或服務的目標人群以及即將到來的機會。
本節涵蓋區域前景,重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲無程式碼人工智慧平台市場當前和未來的需求。此外,該報告重點關注所有主要地區各個應用領域的需求、估計和預測。
該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。無程式碼人工智慧平台市場的主要參與者包括亞馬遜。 Inc.、Microsoft、Google LLC、Apple Inc.、Caspio Inc.、DataRobot Inc.、Clarifai Inc.、Quickbase Inc.、Levity AI GmbH、Akkio Inc.。重大併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展等動態。
如果您有任何客製化要求,請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。
The global demand for No-code AI Platform Market is presumed to reach the market size of nearly USD 41.99 Billion by 2032 from USD 4.02 Billion in 2023 with a CAGR of 29.78% under the study period 2024-2032.
A no-code AI platform is a software tool or platform that enables users to build and deploy artificial intelligence (AI) applications and solutions without extensive coding or programming knowledge. These platforms provide intuitive graphical interfaces, drag-and-drop functionalities, and pre-built AI models and algorithms, allowing users to create custom AI applications using visual components and workflows. It democratizes AI development and deployment, enabling business users, citizen developers, and subject matter experts to harness the power of AI for various use cases, such as predictive analytics, natural language processing, image recognition, and process automation.
The increasing demand for AI-driven solutions across industries is creating a need for accessible and user-friendly tools that enable non-technical users to leverage the power of artificial intelligence. No-code AI platforms democratize AI development by eliminating the need for coding skills, allowing business users, domain experts, and citizen data scientists to construct and deploy machine learning models without relying on traditional programming methods. This democratization of AI empowers organizations to accelerate innovation, drive operational efficiency, and gain competitive advantage by leveraging AI-driven insights and automation. Additionally, the rising complexity of data analysis tasks and the shortage of skilled data scientists and AI engineers drive market growth.
Moreover, the growing trend towards digital transformation and the adoption of cloud-based technologies facilitate the deployment and scalability of no-code AI platforms, enabling organizations to rapidly adapt to shifting market dynamics and customer needs. Furthermore, the integration of no-code AI platforms with existing business applications and workflows, such as enterprise resource planning, customer relationship management, and marketing automation systems, enhances their usability and interoperability, driving market expansion. Additionally, advancements in AI technology, such as computer vision, natural language processing (NLP), and predictive analytics, are expanding the use cases and capabilities across industries, from finance & healthcare to manufacturing and retail. However, the emergence of alternative low-code and traditional programming platforms may challenge the market growth in the coming years.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of No-code AI Platform. The growth and trends of No-code AI Platform industry provide a holistic approach to this study.
This section of the No-code AI Platform market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the No-code AI Platform market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the No-code AI Platform market include Amazon.Com. Inc., Microsoft, Google LLC, Apple Inc., Caspio Inc., DataRobot Inc., Clarifai Inc., Quickbase Inc., Levity AI GmbH, Akkio Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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