市場調查報告書
商品編碼
1497756
人工智慧資料管理市場:按產品、資料類型、技術、部署、應用程式、最終用途分類 - 2024-2030 年全球預測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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預計2023年AI資料管理市場規模為299.9億美元,2024年預計將達364.9億美元,複合年成長率為22.21%,2030年將達1222億美元。
人工智慧資料管理涵蓋支援人工智慧 (AI) 應用程式中大量結構化和非結構化資料的組織、儲存、管治和利用的技術和服務。人工智慧資料管理應用程式包括機器學習模型、自然語言處理、電腦視覺系統和預測分析的資料管理。各組織資料使用量的快速增加以及對增強資料分析和處理的需求不斷成長正在推動市場成長。此外,對監管合規性和資料隱私的日益重視以及物聯網技術的興起正在推動人工智慧資料管理解決方案的使用增加。實施人工智慧資料管理解決方案的高昂成本限制了其部署。然而,擴大採用混合和多重雲端環境來提高資料儲存和處理的靈活性,預計將推動人工智慧資料管理市場的成長。此外,區塊鏈和人工智慧在不可變資料追蹤方面的不斷融合,以及針對產業專用的人工智慧資料管理工具的開拓,以滿足各個行業的獨特需求,預計將為市場成長創造機會。
主要市場統計 | |
---|---|
基準年[2023] | 299.9億美元 |
預測年份 [2024] | 364.9億美元 |
預測年份 [2030] | 1222億美元 |
複合年成長率(%) | 22.21% |
區域洞察
美洲人工智慧資料管理市場的特點是高水準的投資和技術採用,重點是金融、醫療保健和零售等領域的創新。在美洲,消費者變得更加精通技術,並對人工智慧驅動的產品和服務越來越感興趣。對 Theme_KEYWORD 的投資很活躍,支持研究和專利收購。跨國公司和新興企業正在開拓性地努力透過雲端、邊緣運算和網路安全來整合人工智慧和電力資料管理解決方案。歐盟對人工智慧的立場圍繞著道德和負責任的使用,特別關注資料隱私。因此,客戶越來越喜歡符合 GDPR 和其他法律規範的人工智慧解決方案。地平線歐洲計畫強調了歐盟致力於發展人工智慧能力,同時維護道德標準。中東,特別是阿拉伯聯合大公國和沙烏地阿拉伯等海灣國家,正在大力投資人工智慧,作為其除石油以外的經濟多元化願景的一部分。非洲人工智慧市場正處於起步階段,南非和肯亞在人工智慧應用方面處於領先地位。它是消費者需求的獨特融合,既解決了傳統工業部門的問題,也解決了非洲大陸特有的挑戰,例如農業最佳化和疾病預測。亞太地區已成為人工智慧的重要地區,企業和政府申請了大量人工智慧相關專利。國家主導的方法包括對人工智慧的大規模投資,重點是資料管理和分析,以支援監控、電子商務和智慧城市等領域。
FPNV定位矩陣
FPNV 定位矩陣對於評估 AI資料管理市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對人工智慧資料管理市場中供應商的現狀進行深入而詳細的評估。對供應商貢獻的徹底比較和分析可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在人工智慧資料管理市場中的地位進行全面評估可以幫助企業做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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