市场调查报告书
商品编码
1413822
人工智慧资料管理市场:按产品、按资料类型、按技术、按部署、按应用、按最终用途 - 全球预测,2024-2030 年AI Data Management Market by Offering (Services, Software), Data Type (Audio, Image, Speech & Voice), Technology, Deployment, Application, End-Use - Global Forecast 2024-2030 |
※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。
预计2023年AI资料管理市场规模为247.1亿美元,预计2024年将达299.9亿美元,2030年将达996.3亿美元,复合年增长率为22.03%。
人工智慧资料管理的全球市场
主要市场统计 | |
---|---|
基准年[2023] | 247.1亿美元 |
预测年份 [2024] | 299.9亿美元 |
预测年份 [2030] | 996.3亿美元 |
复合年增长率(%) | 22.03% |
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、管治和使用的技术和服务。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,对法律规章合规性和资料隐私的日益重视,以及物联网技术的兴起,正在增加人工智慧资料管理解决方案的使用。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弹性,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,将为市场成长创造机会。
区域洞察
美国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。对人工智慧资料管理的投资强劲,支持研究和专利申请。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关键地区,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重大投资,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资料管理市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出资讯的决策。根据评估,供应商被分为四个成功程度不同的像限: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研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵考察,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更资讯的决策并制定有效的策略,从而在市场上获得竞争优势。
1-市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2-市场开拓:我们深入研究利润丰厚的新兴市场,并分析它们在成熟细分市场中的渗透率。
3- 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4-竞争力评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5- 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1-AI资料管理市场的市场规模和预测是多少?
2-人工智慧资料管理市场预测期间需要考虑投资的产品、细分市场、应用程式和领域有哪些?
3-AI资料管理市场的技术趋势和法律规范是什么?
4-AI资料管理市场主要厂商的市场占有率是多少?
5-进入AI资料管理市场的合适型态和策略手段是什么?
[188 Pages Report] The AI Data Management Market size was estimated at USD 24.71 billion in 2023 and expected to reach USD 29.99 billion in 2024, at a CAGR 22.03% to reach USD 99.63 billion by 2030.
Global AI Data Management Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 24.71 billion |
Estimated Year [2024] | USD 29.99 billion |
Forecast Year [2030] | USD 99.63 billion |
CAGR (%) | 22.03% |
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.
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.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the AI Data Management Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the AI Data Management Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
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
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the AI Data Management Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI Data Management Market?
3. What are the technology trends and regulatory frameworks in the AI Data Management Market?
4. What is the market share of the leading vendors in the AI Data Management Market?
5. Which modes and strategic moves are suitable for entering the AI Data Management Market?