市场调查报告书
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1481758
全球无程式码人工智慧平台市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势和预测Global No-code AI Platform Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球无程式码人工智慧平台市场需求预计将从 2023 年的 40.2 亿美元达到 2032 年近 419.9 亿美元的市场规模,2024-2032 年研究期间复合年增长率为 29.78%。
无程式码 AI 平台是一种软体工具或平台,使用户无需具备丰富的编码或程式设计知识即可建置和部署人工智慧 (AI) 应用程式和解决方案。这些平台提供直觉的图形介面、拖放功能以及预先建立的人工智慧模型和演算法,允许用户使用视觉化元件和工作流程建立自订人工智慧应用程式。它实现了人工智慧开发和部署的民主化,使业务用户、公民开发人员和主题专家能够利用人工智慧的力量来实现各种用例,例如预测分析、自然语言处理、图像识别和流程自动化。
各行业对人工智慧驱动的解决方案的需求不断增长,需要易于存取且用户友好的工具,使非技术用户能够利用人工智慧的力量。无程式码人工智慧平台消除了对编码技能的需求,从而使人工智慧开发民主化,允许业务用户、领域专家和公民资料科学家在不依赖传统程式设计方法的情况下建立和部署机器学习模型。人工智慧的民主化使组织能够利用人工智慧驱动的见解和自动化来加速创新、提高营运效率并获得竞争优势。此外,资料分析任务的复杂性不断增加以及熟练的资料科学家和人工智慧工程师的短缺推动了市场的成长。
此外,数位转型的不断增长趋势和基于云端的技术的采用促进了无程式码人工智慧平台的部署和可扩展性,使组织能够快速适应不断变化的市场动态和客户需求。此外,无程式码人工智慧平台与现有业务应用程式和工作流程(例如企业资源规划、客户关係管理和行销自动化系统)的整合增强了其可用性和互通性,推动了市场扩张。此外,电脑视觉、自然语言处理 (NLP) 和预测分析等人工智慧技术的进步正在扩大从金融和医疗保健到製造和零售等各个行业的用例和功能。然而,替代性低程式码和传统程式设计平台的出现可能会挑战未来几年的市场成长。
研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外,这些工具也对全球无程式码人工智慧平台市场的各个细分市场进行了包容性评估。无程式码人工智慧平台产业的成长和趋势为本研究提供了整体方法。
无程式码人工智慧平台市场报告的这一部分提供了国家和地区层面细分市场的详细资料,从而帮助策略家确定相应产品或服务的目标人群以及即将到来的机会。
本节涵盖区域前景,重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲无程式码人工智慧平台市场当前和未来的需求。此外,该报告重点关注所有主要地区各个应用领域的需求、估计和预测。
该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。无程式码人工智慧平台市场的主要参与者包括亚马逊。 Inc.、Microsoft、Google LLC、Apple Inc.、Caspio Inc.、DataRobot Inc.、Clarifai Inc.、Quickbase Inc.、Levity AI GmbH、Akkio Inc.。重大併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展等动态。
如果您有任何客製化要求,请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。
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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