市場調查報告書
商品編碼
1415445
知識圖市場:按產品、按類型、按模型類型、按資料來源、按應用、按產業 - 2024-2030 年全球預測Knowledge Graph Market by Offering (Services, Solutions), Type (Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, NLP Knowledge Graphs), Model Type, Data Source, Application, Vertical - Global Forecast 2024-2030 |
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預計2023年知識圖譜市場規模為10.5億美元,預計2024年將達到12.4億美元,2030年將達到31.9億美元,複合年成長率為17.07%。
知識圖譜全球市場
主要市場統計 | |
---|---|
基準年[2023] | 10.5億美元 |
預測年份 [2024] | 12.4億美元 |
預測年份 [2030] | 31.9億美元 |
複合年成長率(%) | 17.07% |
知識圖是一種結構化的知識模型,它結合了實體、關係和屬性來建構語意網路。它是一種以機器易於計算和理解的方式組織和連接資訊的方式。知識圖在以實現高效資料搜尋、推理和分析的方式表示和組織知識方面發揮關鍵作用。影響市場成長的因素包括對先進分析工具的需求不斷增加以及資料生成的快速增加。此外,不斷成長的業務需求(例如提高客戶滿意度、無縫溝通和知識共用)也正在推動市場成長。然而,對知識圖的好處缺乏了解、對技術熟練專家的需求以及隱私問題阻礙了市場的採用。強大的資料管理、整合和分析策略的出現提供了巨大的潛在機會。
區域洞察
由於技術進步和消費者購買力,美洲在知識圖譜市場中佔有重要地位。公司正在進行研究和開發舉措,新技術專利正在激增。在EMEA地區,歐洲是知識圖譜市場的主要開拓基地。多項歐盟 (EU) 指令鼓勵使用知識圖譜技術來實現資料隱私合規性。另一方面,中東和非洲的知識圖譜市場仍不發達,但由於數位轉型措施和快速發展的高科技新興企業文化,特別是在這些國家,顯示出廣泛的成長潛力。亞太地區正快速崛起,成為知識圖譜市場的強大參與者。各國正利用科技來加強電子商務、醫療保健和通訊業的資料管理。此外,政府對促進創新和推動數位轉型的大力支持正在推動該地區知識圖譜市場的成長。
FPNV定位矩陣
FPNV定位矩陣對於評估知識圖譜市場至關重要。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明智的決策。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,可以對知識圖譜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明智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-知識圖譜市場的市場規模與預測是多少?
2-知識圖譜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-知識圖譜市場的技術趨勢和法律規範是什麼?
4-知識圖譜市場主要廠商的市場佔有率是多少?
5-進入知識圖譜市場合適的型態或策略手段是什麼?
[182 Pages Report] The Knowledge Graph Market size was estimated at USD 1.05 billion in 2023 and expected to reach USD 1.24 billion in 2024, at a CAGR 17.07% to reach USD 3.19 billion by 2030.
Global Knowledge Graph Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.05 billion |
Estimated Year [2024] | USD 1.24 billion |
Forecast Year [2030] | USD 3.19 billion |
CAGR (%) | 17.07% |
A knowledge graph is a structured model of knowledge that incorporates entities, relationships, and attributes to create a semantic network. It is a way to organize and connect information in a manner easily computable and understandable by machines. Knowledge graphs play a crucial role in representing and organizing knowledge in a way that allows for efficient data retrieval, reasoning, and analysis. Factors influencing the market's growth entail increased demand for advanced analytics tools and soaring data generation. The rise is further driven by the growing need for businesses to offer improved customer satisfaction, seamless communication, and knowledge sharing. However, a lack of understanding about the benefits of knowledge graphs, the necessity for technically skilled professionals, and privacy concerns further hamper the market adoption. The emergence of powerful data management, integration, and analytics strategies offers great potential opportunities.
Regional Insights
The Americas have a significant landscape in the knowledge graph market owing to the region evinces substantial advancements in technology and strong consumer purchasing power. Firms have been engaging in research and development initiatives, confirmed by a surge in new patents in emerging technologies. In the EMEA region, Europe is the hub for major developments in the knowledge graph market. Several European Union directives encourage the use of knowledge graph technology for compliance with data privacy. Meanwhile, the Middle East and Africa, while still nascent in the knowledge graph market, show promising growth potential owing to the digital transformation initiatives and burgeoning tech startup culture, particularly in countries. The APAC region is rapidly emerging as a formidable player in the knowledge graph market, fueled by expansive technological advancements and swift digitalization across major economies. Countries are capitalizing on technology to strengthen data management in e-commerce, healthcare, and telecommunications industries. Moreover, robust support from governments to foster innovation and drive digital transformation bolstered this region's knowledge graph market growth.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Knowledge Graph 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 Knowledge Graph 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 Knowledge Graph Market, highlighting leading vendors and their innovative profiles. These include AllegroGraph by Franz Inc., Amazon Web Services, Inc., ArangoDB, Cambridge Semantics, Inc., Datavid Limited, Diffbot Technologies Corp., Fluree, Franz Inc., Google LLC by Alphabet Inc., International Business Machines Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Neo4j, Inc., Ontotext, Oracle Corporation, SciBite Limited, Semantic Web Company, Stardog Union, TIBCO by Cloud Software Group, Inc., TigerGraph, Inc., XenonStack Pvt. Ltd., and Yext, 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 Knowledge Graph Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Knowledge Graph Market?
3. What are the technology trends and regulatory frameworks in the Knowledge Graph Market?
4. What is the market share of the leading vendors in the Knowledge Graph Market?
5. Which modes and strategic moves are suitable for entering the Knowledge Graph Market?