市场调查报告书
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人工智慧资料管理市场:按产品、资料类型、技术、部署、应用程式、最终用途划分 - 2024-2030 年全球预测AI Data Management Market by Offering (Services, Software), Data Type (Audio, Image, Speech & Voice), Technology, Deployment, Application, End-Use - Global Forecast 2024-2030 |
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预计2023年AI资料管理市场规模为299.9亿美元,2024年预计将达364.9亿美元,复合年增长率为22.21%,2030年将达1222亿美元。
人工智慧资料管理涵盖支援人工智慧 (AI) 应用程式中大量结构化和非结构化资料的组织、储存、管治和利用的技术和服务。人工智慧资料管理应用程式包括机器学习模型、自然语言处理、电脑视觉系统和预测分析的资料管理。各组织资料使用量的快速增加以及对增强资料分析和处理的需求不断增长正在推动市场成长。此外,对监管合规性和资料隐私的日益重视以及物联网技术的兴起正在推动人工智慧资料管理解决方案的使用增加。实施人工智慧资料管理解决方案的高昂成本限制了其部署。然而,越来越多地采用混合和多重云端环境来提高资料储存和处理的灵活性,预计将推动人工智慧资料管理市场的成长。此外,区块链和人工智慧在不可变资料追踪方面的不断融合,以及针对产业专用的人工智慧资料管理工具的开拓,以满足各个行业的独特需求,预计将为市场成长创造机会。
主要市场统计 | |
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基准年[2023] | 299.9亿美元 |
预测年份 [2024] | 364.9亿美元 |
预测年份 [2030] | 1222亿美元 |
复合年增长率(%) | 22.21% |
区域洞察
美洲人工智慧资料管理市场的特点是高水准的投资和技术采用,重点是金融、医疗保健和零售等领域的创新。在美洲,消费者变得更加精通技术,并对人工智慧驱动的产品和服务越来越感兴趣。对 Theme_KEYWORD 的投资很活跃,支持研究和专利收购。跨国公司和新兴企业正在开拓性地努力透过云端、边缘运算和网路安全来整合人工智慧和电力资料管理解决方案。欧盟对人工智慧的立场围绕着道德和负责任的使用,特别关注资料隐私。因此,客户越来越喜欢符合 GDPR 和其他法律规范的人工智慧解决方案。地平线欧洲计画强调了欧盟致力于发展人工智慧能力,同时维护道德标准。中东,特别是阿联酋和沙乌地阿拉伯等海湾国家,正在大力投资人工智慧,作为其除石油以外的经济多元化愿景的一部分。非洲人工智慧市场正处于起步阶段,南非和肯亚在人工智慧应用方面处于领先地位。它是消费者需求的独特融合,既解决了传统工业部门的问题,也解决了非洲大陆特有的挑战,例如农业优化和疾病预测。亚太地区已成为人工智慧的重要地区,企业和政府申请了大量人工智慧相关专利。国家主导的方法包括对人工智慧的大规模投资,重点是资料管理和分析,以支援监控、电子商务和智慧城市等领域。
FPNV定位矩阵
FPNV 定位矩阵对于评估 AI资料管理市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对人工智慧资料管理市场中供应商的现状进行深入而详细的评估。对供应商贡献的彻底比较和分析可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在人工智慧资料管理市场中的地位进行全面评估可以帮助企业做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[180 Pages Report] The AI Data Management Market size was estimated at USD 29.99 billion in 2023 and expected to reach USD 36.49 billion in 2024, at a CAGR 22.21% to reach USD 122.20 billion by 2030.
AI data management encompasses technologies and services that support the organization, storage, governance, and use of large volumes of structured and unstructured data in artificial intelligence (AI) applications. The application of AI data management includes managing data for machine learning models, natural language processing, computer vision systems, and predictive analytics. The exponential increase in the usage of data across organizations, along with the increasing need for enhanced data analytics and processing, is driving the growth of the market. Additionally, the growing emphasis on regulatory compliance and data privacy and the emergence of IoT technology are increasing the usage of AI data management solutions. The high costs associated with implementing AI data management solutions limit their deployment. Nevertheless, the growing adoption of hybrid and multi-cloud environments for greater flexibility in data storage and processing is expected to fuel the growth of the AI data management market. Further, the rising integration of AI with Blockchain for immutable data tracking and the development of industry-specific AI data management tools to cater to the unique needs of different sectors is expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 29.99 billion |
Estimated Year [2024] | USD 36.49 billion |
Forecast Year [2030] | USD 122.20 billion |
CAGR (%) | 22.21% |
Regional Insights
America's AI data management market is characterized by high levels of investment and technological adoption, emphasizing innovation across sectors such as finance, healthcare, and retail. In the Americas, consumers are increasingly tech-savvy, with an appetite for AI-driven products and services. Investments in AI data management are substantial, propelling research and patenting activity. Multinational corporations and startups are pioneering integrating AI through the cloud, edge computing, and cybersecurity to enhance data management solutions. The EU's stance on AI revolves around ethical and responsible use, with a strong focus on data privacy. This has resulted in a customer preference towards AI solutions that align with GDPR and other regulatory frameworks. The Horizon Europe program underlines the EU's dedication to advancing AI capabilities while maintaining ethical standards. The Middle East, particularly Gulf states such as the UAE and Saudi Arabia, is investing heavily in AI as part of their vision to diversify economies beyond oil. Africa's AI market is nascent, with South Africa and Kenya leading the way in AI adoption. There is a unique blend of consumer needs addressing both traditional industry sectors and challenges unique to the continent, such as agricultural optimization and disease prediction. Asia-Pacific has emerged as a significant region in AI, with its companies and government filing numerous AI-related patents. The state-driven approach has included massive investments in AI, strongly emphasizing data management and analytics to support sectors like surveillance, e-commerce, and smart cities.
Market Insights
The market dynamics represent an ever-changing landscape of the AI Data Management Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI Data Management Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the AI Data Management Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
AI Powered Inventory Management System Predian Launches
Predian unveiled a cutting-edge, cloud-based AI solution to revolutionize inventory management for automotive dealerships. This innovative system utilizes predictive analytics and deep data mining capabilities powered by artificial intelligence and machine learning to optimize inventory control. The result is a substantial enhancement in profitability and a marked decrease in time to sell. [Published On: 2024-01-11]
Duck Creek Technologies Unveils the Next Generation of Data Management and Analytics with the Launch of Duck Creek Clarity
Duck Creek Technologies unveiled Duck Creek Clarity, a cutting-edge, cloud-native platform architected to revolutionize data management, reporting, and analytics for property and casualty (P&C) and general insurance sectors. As the pioneering successor to Duck Creek Insights, this solution enriches insurers with superior capabilities for manipulating and integrating data from Duck Creek's core SaaS offerings and beyond into a unified, clear picture. Insurers are furnished with real-time insights that drive informed decisions and optimize loss ratios. [Published On: 2023-12-05]
K2view Launches Synthetic Data Management Solution
K2view unveiled an industry-first integrated synthetic data management solution that brings a groundbreaking blend of generative artificial intelligence and systematic, rule-based synthesis techniques. Leveraged alongside their proprietary business-entity-centered data model, this innovative platform delivers synthetic data with exceptional fidelity and strict adherence to regulatory compliance. K2view's solution is tailored to revolutionize various applications, such as thorough software testing, the training of advanced machine learning models, and the facilitation of secure data collaboration and sharing, ensuring organizations can harness the full potential of synthetic data while maintaining privacy and operational integrity. [Published On: 2023-10-03]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI Data Management Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the AI Data Management Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Amazon Web Services, Inc., Attivio Inc., Cloudera, Inc., Collibra N.V., Confluent, Inc., Couchbase, Inc., Databricks Inc., Dataiku Inc., DataRobot, Inc., Elastic N.V., Google LLC, Informatica LLC, International Business Machines Corporation, MarkLogic Corporation, Microsoft Corporation, MongoDB, Inc., Neo4j, Inc., Oracle Corporation, Palantir Technologies Inc., Qlik Technologies Inc., Redis Labs, Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Talend SA, Teradata Corporation, and ThoughtSpot Inc..
Market Segmentation & Coverage