市場調查報告書
商品編碼
1413822
人工智慧資料管理市場:按產品、按資料類型、按技術、按部署、按應用、按最終用途 - 全球預測,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 |
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預計2023年AI資料管理市場規模為247.1億美元,預計2024年將達299.9億美元,2030年將達996.3億美元,複合年成長率為22.03%。
人工智慧資料管理的全球市場
主要市場統計 | |
---|---|
基準年[2023] | 247.1億美元 |
預測年份 [2024] | 299.9億美元 |
預測年份 [2030] | 996.3億美元 |
複合年成長率(%) | 22.03% |
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、管治和使用的技術和服務。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,對法律規章合規性和資料隱私的日益重視,以及物聯網技術的興起,正在增加人工智慧資料管理解決方案的使用。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彈性,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,將為市場成長創造機會。
區域洞察
美國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。對人工智慧資料管理的投資強勁,支持研究和專利申請。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關鍵地區,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重大投資,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資料管理市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出資訊的決策。根據評估,供應商被分為四個成功程度不同的像限: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研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴考察,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更資訊的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1-市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2-市場開拓:我們深入研究利潤豐厚的新興市場,並分析它們在成熟細分市場中的滲透率。
3- 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4-競爭力評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5- 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1-AI資料管理市場的市場規模和預測是多少?
2-人工智慧資料管理市場預測期間需要考慮投資的產品、細分市場、應用程式和領域有哪些?
3-AI資料管理市場的技術趨勢和法律規範是什麼?
4-AI資料管理市場主要廠商的市場佔有率是多少?
5-進入AI資料管理市場的合適型態和策略手段是什麼?
[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?