市場調查報告書
商品編碼
1467944
決策智慧市場:按模型、提供者、最終用途和應用分類 - 2024-2030 年全球預測Decision Intelligence Market by Model (Human-Based, Hybrid-Based, Machine-Based), Provider (Big Cloud Providers, Start-Ups), End-Use, Application - Global Forecast 2024-2030 |
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預計2023年決策智慧市場規模為116.8億美元,預計2024年將達到128.4億美元,2030年將達到230.9億美元,複合年成長率為10.21%。
決策智慧(DI)是一個基於技術的領域,透過整合人工智慧(AI)和人類決策來幫助企業做出更好的決策。決策智慧將各種決策技術與人工智慧 (AI)、自動化、商業智慧(BI) 和高階決策者結合,對組織產生更大的影響,從資料中獲得更高的回報,並使使用者能夠收集可操作的情報。為了保持競爭優勢,整個企業對資料主導的即時決策的需求不斷成長,這推動了對決策智慧平台的需求。人工智慧和機器學習 (ML) 技術的日益普及和可用性正在推動決策智慧解決方案的採用。與決策智慧解決方案相關的高實施成本以及安全和隱私問題阻礙了市場成長。供應商正在推出先進的決策智慧平台,這些平台具有擴充性、彈性和成本效益等優勢,預計將創造市場成長機會。
主要市場統計 | |
---|---|
基準年[2023] | 116.8億美元 |
預測年份 [2024] | 128.4億美元 |
預測年份 [2030] | 230.9億美元 |
複合年成長率(%) | 10.21% |
擴大基於機器的決策智慧的使用,以實現模型決策流程的自動化
基於人的決策智慧模型在決策流程中優先考慮人類的判斷和專業知識。這些模型整合了人類直覺、情緒智商和道德考慮,以提供純粹資料驅動方法可能會錯過的獨特見解。它在人類價值、道德和細緻的理解發揮重要作用的情況下尤其有效。基於混合的模型代表了人類直覺和自動決策之間的平衡,充分利用了基於人類和機器的方法的優點。該模型旨在提高決策流程的效率和擴充性,同時保留人類判斷提供的理解深度。基於機器的決策智慧採用演算法和資料分析來自動化決策流程。該模型的蓬勃發展得益於其處理和分析遠遠超出人類能力的巨大資料集的能力,在時間和準確性至關重要的場景中提供速度和準確性。
決策智慧在最終用途醫療保健產業中日益成長的潛力:改善患者照護和業務效率
在 BFSI 領域,決策智慧對於風險管理、詐欺預防和客戶個人化至關重要。銀行和金融機構使用先進的分析來制定貸款決策、評估風險並為個人客戶提供量身定做的服務。醫療保健組織利用決策智慧來提高患者照護、業務效率和醫學研究。從預測患者再入院到簡化供應鏈,其應用廣泛且至關重要。在媒體和娛樂領域,決策智慧可最佳化內容推薦演算法、廣告投放和客戶參與策略。最大化商機,同時增強觀眾的體驗。在石油和天然氣行業,決策智慧有助於探勘、生產最佳化和預測性維護。它還在安全管理和環境合規方面發揮作用。零售商正在部署決策智慧來進行庫存管理、客戶行為分析和供應鏈最佳化。決策智慧支援個人化行銷和客製化產品推薦,顯著提高客戶滿意度。運輸和物流公司使用決策智慧來最佳化路線、車隊管理和預測性維護。決策智慧可確保高業務效率和客戶服務水準。
區域洞察
由於跨企業更快、更準確和自動化的決策智慧的日益整合,美國決策智慧市場在預測期內不斷發展和增強。對先進數位化技術不斷成長的需求預計將為區域決策智慧市場創造巨大的成長機會。數位化是加速技術轉型的驅動力,可促進雲端運算、量子技術、人工智慧和機器學習等實行技術的發展。歐盟委員會的戰略提案「數位指南針」制定了到 2030 年在技能、商業、政府和基礎設施領域要實現的具體數字目標和里程碑。根據歐盟統計局的數據,到 2020 年,歐盟 (EU) 約有 10 名員工的公司中,有 7% 將使用人工智慧應用程式,2% 將使用機器學習在內部分析巨量資料。政府在最終用戶產業數位化方面的主要努力正在不斷發展新人工智慧技術的使用,並加速採用決策智慧軟體的潛力。隨著國際參與者在資料分析和人工智慧 (AI) 領域加強產品供應,亞太決策智慧市場正在不斷發展。該地區的新興企業正在籌集資金,以加速研發,以增強人工智慧產品,並支援設計決策智慧工具的潛力。
FPNV定位矩陣
FPNV定位矩陣對於評估決策智慧市場至關重要。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種綜合工具,可以對決策智慧市場中供應商的現狀進行深入而深入的研究。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見解,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。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,並分析其在成熟細分市場的滲透率。
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. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
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.決策智慧市場的市場規模與預測是多少?
2.在決策智慧市場的預測期間內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3.決策智慧市場的技術趨勢與法規結構是什麼?
4.決策智慧市場主要供應商的市場佔有率為何?
5. 進入決策情報市場的適當型態和策略手段是什麼?
[185 Pages Report] The Decision Intelligence Market size was estimated at USD 11.68 billion in 2023 and expected to reach USD 12.84 billion in 2024, at a CAGR 10.21% to reach USD 23.09 billion by 2030.
Decision intelligence (DI) is a technology-based discipline that helps businesses make better decisions by integrating artificial intelligence (AI) and human decision-making. Decision intelligence combines different decision-making techniques with artificial intelligence (AI), automation, business intelligence (BI), and forward-thinking decision-makers to drive a significant impact on the organization, achieve a higher return on data, and allow users to gather actionable intelligence that powers more progressive decisions. Increasing demand for data-driven and real-time decision-making across businesses to stay competitive elevates the need for decision intelligence platforms. The increasing adoption and availability of AI and machine learning (ML) technologies drive the adoption of decision intelligence solutions. High implementation costs and security & privacy concerns associated with decision intelligence solutions hamper the market's growth. The ongoing introduction of advanced decision intelligence platforms that offer several benefits, such as scalability, flexibility, and cost-effectiveness, by market vendors is expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 11.68 billion |
Estimated Year [2024] | USD 12.84 billion |
Forecast Year [2030] | USD 23.09 billion |
CAGR (%) | 10.21% |
Model: Growing usage of machine-based decision intelligence to automate decision-making processes
Human-based decision intelligence models prioritize human judgment and expertise in the decision-making process. These models integrate human intuition, emotional intelligence, and ethical considerations, offering unique insights that purely data-driven approaches may miss. They're particularly effective in scenarios where human values, ethics, and nuanced understanding play a crucial role. Hybrid-based models represent a balance between human intuition and automated decision-making, leveraging the strengths of both human-based and machine-based approaches. This model aims to enhance the efficiency and scalability of decision-making processes while maintaining the depth of understanding that human judgment provides. Machine-based decision intelligence employs algorithms and data analytics to automate decision-making processes. This model thrives on its ability to process and analyze vast datasets far beyond human capability, delivering speed and precision in scenarios where time and accuracy are critical.
End-Use: Rising potential of decision intelligence across the healthcare industry for enhancing patient care and operational efficiency
In the BFSI sector, decision intelligence is paramount for risk management, fraud prevention, and customer personalization. Banks and financial institutions leverage advanced analytics for better decision-making on loans, risk assessment, and tailoring services for individual customers. Healthcare institutions utilize decision intelligence to enhance patient care, operational efficiency, and medical research. From predicting patient readmissions to streamlining the supply chain, the applications are vast and crucial. In media & entertainment, decision intelligence optimizes content recommendation algorithms, ad placements, and customer engagement strategies. It enhances the viewer's experience while maximizing revenue opportunities. For the oil & gas industry, decision intelligence aids in exploration, production optimization, and predictive maintenance. It also plays a role in safety management and environmental compliance. Retailers implement decision intelligence for inventory management, customer behavior analysis, and optimizing the supply chain. It enables personalized marketing and tailored product recommendations, significantly enhancing customer satisfaction. Transportation & logistics companies use decision intelligence for route optimization, fleet management, and predictive maintenance. It ensures high operational efficiency and customer service levels.
Regional Insights
America's decision intelligence market is evolving and reinforcing over the forecast period with the growing integration of faster, more accurate, and automated decision intelligence across businesses. The rising need for advanced and digitized technologies is envisioned to offer massive opportunities for the decision intelligence market to grow in the region. Digitalization has given the European region further impetus to accelerate the technological transition by promoting enabling technologies such as cloud computing, quantum technologies, and AI & ML. The Digital Compass, a strategy proposal from the European Commission, sets specific digital targets and milestones to be reached by 2030 across skills, business, government, and infrastructure. According to Eurostat, in 2020, 7% of enterprises in the European Union (EU), with approximately ten people employed, used AI applications, and 2% of the enterprises used machine learning to analyze big data internally. The evolving use of new AI technologies with major government initiatives for digitalizing end-user industries is accelerating the potential for the adoption of decision intelligence software. The Asia-Pacific decision intelligence market is developing, driven by the existence of international players enhancing their product footprint across data analytics and Artificial intelligence (AI). Startups in the region are raising funds to accelerate research and development on AI product enhancement, thereby supporting the potential for designing decision intelligence tools.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Decision Intelligence 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 Decision Intelligence 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 Decision Intelligence Market, highlighting leading vendors and their innovative profiles. These include 4Cast Systems Ltd., Actico GmbH, Advanced Micro Devices, Inc., Aera Technology, Amazon Web Services, Inc., Arm Limited, Automation Anywhere, Inc., Busigence Technologies, C3.ai, Inc., Clarifai, Inc., Cloudera, Inc., Cogneau Systems Private Limited, Enlitic, Inc., Google LLC by Alphabet Inc., H2O.ai., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, nextmv.io inc., NVIDIA Corporation, Oracle Corporation, Paretos GmbH, Peak AI Ltd., Provenir, Pyramid Analytics BV, Salesforce, Inc., SymphonyAI Group by SAIGroup, Tellius, Inc., Vidora Corp., and Xylem 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 Decision Intelligence Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Decision Intelligence Market?
3. What are the technology trends and regulatory frameworks in the Decision Intelligence Market?
4. What is the market share of the leading vendors in the Decision Intelligence Market?
5. Which modes and strategic moves are suitable for entering the Decision Intelligence Market?