市场调查报告书
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1467944
决策智慧市场:按模型、提供者、最终用途和应用划分 - 2024-2030 年全球预测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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预计2023年决策智慧市场规模为116.8亿美元,预计2024年将达到128.4亿美元,2030年将达到230.9亿美元,复合年增长率为10.21%。
决策智能(DI)是一个基于技术的领域,透过整合人工智慧(AI)和人类决策来帮助企业做出更好的决策。决策智慧将各种决策技术与人工智慧 (AI)、自动化、商业智慧(BI) 和高阶决策者结合,对组织产生更大的影响,从资料中获得更高的回报,并使使用者能够收集可操作的情报。为了保持竞争优势,整个企业对资料主导的即时决策的需求不断增长,这推动了对决策智慧平台的需求。人工智慧和机器学习 (ML) 技术的日益普及和可用性正在推动决策智慧解决方案的采用。与决策智慧解决方案相关的高实施成本以及安全和隐私问题阻碍了市场成长。供应商正在推出先进的决策智慧平台,这些平台具有扩充性、弹性和成本效益等优势,预计将创造市场成长机会。
主要市场统计 | |
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基准年[2023] | 116.8亿美元 |
预测年份 [2024] | 128.4亿美元 |
预测年份 [2030] | 230.9亿美元 |
复合年增长率(%) | 10.21% |
扩大基于机器的决策智慧的使用,以实现模型决策流程的自动化
基于人的决策智能模型在决策流程中优先考虑人类的判断和专业知识。这些模型整合了人类直觉、情绪智商和道德考虑,以提供纯粹资料驱动方法可能会错过的独特见解。它在人类价值、道德和细緻的理解发挥重要作用的情况下尤其有效。基于混合的模型代表了人类直觉和自动决策之间的平衡,充分利用了基于人类和机器的方法的优点。该模型旨在提高决策流程的效率和扩充性,同时保留人类判断提供的理解深度。基于机器的决策智慧采用演算法和资料分析来自动化决策流程。该模型的蓬勃发展得益于其处理和分析远远超出人类能力的巨大资料集的能力,在时间和准确性至关重要的场景中提供速度和准确性。
决策智慧在最终用途医疗保健产业中日益增长的潜力:改善患者照护和业务效率
在 BFSI 领域,决策智能对于风险管理、诈欺预防和客户个人化至关重要。银行和金融机构使用先进的分析来制定贷款决策、评估风险并为个人客户提供量身定制的服务。医疗保健组织利用决策智慧来提高患者照护、业务效率和医学研究。从预测患者再入院到简化供应链,其应用广泛且至关重要。在媒体和娱乐领域,决策智慧可优化内容推荐演算法、广告投放和客户参与策略。最大化商机,同时增强观众的体验。在石油和天然气行业,决策智慧有助于探勘、生产最佳化和预测性维护。它还在安全管理和环境合规方面发挥作用。零售商正在部署决策智慧来进行库存管理、客户行为分析和供应链最佳化。决策智能支援个人化行销和客製化产品推荐,显着提高客户满意度。运输和物流公司使用决策智慧来优化路线、车队管理和预测性维护。决策智能可确保高业务效率和客户服务水准。
区域洞察
由于跨企业更快、更准确和自动化的决策智慧的日益集成,美国决策智慧市场在预测期内不断发展和增强。对先进数位化技术不断增长的需求预计将为区域决策智慧市场创造巨大的成长机会。数位化是加速技术转型的驱动力,可促进云端运算、量子技术、人工智慧和机器学习等实行技术的发展。欧盟委员会的战略提案「数位指南针」制定了到 2030 年在技能、商业、政府和基础设施领域要实现的具体数字目标和里程碑。根据欧盟统计局的数据,到 2020 年,欧盟 (EU) 约有 10 名员工的公司中,有 7% 将使用人工智慧应用程序,2% 将使用机器学习在内部分析巨量资料。政府在最终用户产业数位化方面的主要努力正在不断发展新人工智慧技术的使用,并加速采用决策智慧软体的潜力。随着国际参与者在资料分析和人工智慧 (AI) 领域加强产品供应,亚太决策智慧市场正在不断发展。该地区的新兴企业正在筹集资金,以加速研发,以增强人工智慧产品,并支援设计决策智慧工具的潜力。
FPNV定位矩阵
FPNV定位矩阵对于评估决策智慧市场至关重要。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明智的决策。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种综合工具,可以对决策智慧市场中供应商的现状进行深入而深入的研究。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见解,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。详细程度的提高使供应商能够做出更明智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,并分析其在成熟细分市场的渗透率。
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. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
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.决策智慧市场的市场规模与预测是多少?
2.在决策智慧市场的预测期间内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.决策智慧市场的技术趋势与法规结构是什么?
4.决策智慧市场主要供应商的市场占有率为何?
5. 进入决策情报市场的适当型态和策略手段是什么?
[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?