市场调查报告书
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1466652
复合人工智慧市场:按组件、应用程式和最终用户划分 - 2024-2030 年全球预测Composite AI Market by Component (Hardware, Services, Software), Application (Predictive Maintenance, Product Design & Development, Quality Control), End-User - Global Forecast 2024-2030 |
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预计2023年复合人工智慧市场规模为15.4亿美元,2024年达20.6亿美元,2030年预计将达到116.8亿美元,复合年增长率为33.45%。
复合人工智慧整合了多种人工智慧(AI)技术、机器学习演算法和资料处理技术,建构能够理解、分析和解决复杂问题的复杂系统。复杂人工智慧正在应用于各个行业,包括医疗保健、金融、零售、製造、汽车和通讯。对能够解决传统特定产业方法局限性的创新人工智慧主导解决方案的需求不断增长,正在推动复合人工智慧市场的成长。资料隐私和监管合规性问题会出现,尤其是在处理资料敏感资讯时。此外,将多种人工智慧技术整合到复合解决方案中可能会带来相容性问题、系统管理复杂性增加和潜在技术故障等挑战。此外,人工智慧演算法和机器学习技术的不断进步,帮助企业将多种人工智慧功能整合到全面的解决方案中,以及跨产业数位转型的快速采用,有利于市场成长。
主要市场统计 | |
---|---|
基准年[2023] | 15.4亿美元 |
预测年份 [2024] | 20.6亿美元 |
预测年份 [2030] | 116.8亿美元 |
复合年增长率(%) | 33.45% |
零件公司扩大复杂人工智慧软体的使用
硬体组件是在设备和系统中启用人工智慧功能的基础。硬体组件包括处理器(GPU、CPU、FPGA)、感测器、储存设备和其他旨在高效执行人工智慧任务的专用硬体模组。对自动驾驶汽车、机器人和智慧城市的需求不断增长正在推动这一类别的成长。服务包括公司提供的一系列支持,帮助客户有效实施复杂的人工智慧解决方案。这包括咨询服务、系统整合服务、培训计划、维护服务等。软体元件由平台、应用程式和工具组成,允许公司设计、开发和部署复杂的人工智慧解决方案。硬体领域也取得了重大进展,推出了尖端处理器来满足人工智慧任务日益增长的运算需求。
消费者越来越多地采用人工智慧驱动的安全和监控系统
预测性维护使用先进的分析和建模技术来主动识别潜在的设备故障。在产品设计和开发中,我们在创意产生、概念规划、原型製作和测试的每个阶段都利用人工智慧技术创造新产品。这使得製造商能够更快地生产更好的产品,同时最大限度地降低失败风险。品管使用人工智慧演算法来确保製造的产品始终满足行业标准和客户要求。该技术使自动化检测系统能够比传统手动流程更准确地检测缺陷和规格偏差。人工智慧驱动的安全和监控系统分析视讯来源以进行物件识别、行为识别和异常检测,以加强安全措施并改善公共。人工智慧技术正在透过预测性维护、产品设计和开发、品管、安全和监控等应用来改变产业,提供资料主导的见解,从而提高效率和生产力,同时降低成本。
最终用户:持续努力实现能源和公共产业部门的数位化,以实现能源管理和高效维护
由于需要改善客户体验、确保监管合规性和优化业务效率,银行和金融部门越来越多地采用复杂的人工智慧。在能源和电力领域,复杂的人工智慧用于预测性资产维护、能源管理优化和需求预测。医疗保健组织正在采用复杂的人工智慧,透过个人化护理计划、疾病早期诊断、加速药物开发和改善远端医疗服务来改善患者治疗结果。在製造业中,复杂的人工智慧正在帮助增强精益流程自动化、优化品管和简化供应链。媒体和娱乐公司正在采用复杂的人工智慧技术来实现内容个人化、自动影片编辑、目标受众分析和版权执法。在零售业,复杂的人工智慧解决方案被用来提高需求预测准确性、制定动态定价策略、细化客户细分并增强虚拟购物体验。在交通运输产业,复杂的人工智慧被用来优化路线、加速自动驾驶汽车的开发、改善物流管理并加强交通模式分析。
区域洞察
北美市场的特征是电商普及高、经济成熟。由于技术进步,消费者的偏好多种多样且不断变化。该地区在研发 (R&D) 方面投入巨资,领先企业寻求透过专利保护其创新。由于成员国基础设施发达且产品种类繁多,欧盟地区的零售竞争格局极为严峻。此外,欧盟各国政府也积极参与资助与人工智慧(AI)和区块链技术相关的研究计划。在亚太地区,在大型科技公司的主导,全部区域对人工智慧研究的投资正在迅速增加。此外,该地区的行动普及很高,消费者也广泛采用数位付款管道。
FPNV定位矩阵
FPNV定位矩阵对于评估复合AI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个综合工具,可以对复杂人工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。这种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.复合AI市场规模及预测是多少?
2.复合人工智慧市场预测期内需要考虑投资的产品、细分市场、应用程式和领域有哪些?
3.复杂的人工智慧市场的技术趋势和法规结构是什么?
4.复杂AI市场主要厂商的市场占有率为何?
5.进入复杂的人工智慧市场的适当型态和策略手段是什么?
[190 Pages Report] The Composite AI Market size was estimated at USD 1.54 billion in 2023 and expected to reach USD 2.06 billion in 2024, at a CAGR 33.45% to reach USD 11.68 billion by 2030.
Composite AI integrates multiple artificial intelligence (AI) technologies, machine learning algorithms, and data processing methodologies to create advanced systems capable of understanding, analyzing, and solving complex problems. Composite AI applications across various healthcare, finance, retail, manufacturing, automotive, and telecommunications industries. Increasing demand for innovative AI-driven solutions that can address the limitations of traditional industry-specific approaches driving the growth of the composite AI market. Data privacy and regulatory compliance concerns emerge, especially when dealing with sensitive information such as personal or financial data. Moreover, integrating multiple AI technologies into a composite solution may pose challenges in terms of compatibility issues, increased complexity in system management, and potential technical failures. Furthermore, continuous advancements in AI algorithms and machine learning techniques that help businesses to integrate multiple AI capabilities into one comprehensive solution and rapid adoption of digital transformation across industries have created lucrative opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 1.54 billion |
Estimated Year [2024] | USD 2.06 billion |
Forecast Year [2030] | USD 11.68 billion |
CAGR (%) | 33.45% |
Component: Growing utilization of composite AI software by businesses
Hardware components are the foundation for enabling AI capabilities in devices or systems. They include processors (GPUs, CPUs, FPGAs), sensors, memory devices, and other specialized hardware modules designed to execute AI tasks efficiently. The increasing demand for autonomous vehicles, robotics, and smart cities drives growth in this category. Services encompass various support offerings provided by companies to help clients implement composite AI solutions effectively. These include consulting services, system integration services, training programs, maintenance services, and others aimed at facilitating successful deployment and adaptation of advanced AI technologies across industries. Software components comprise platforms, applications, and tools that allow organizations to design, develop, and deploy composite AI solutions. The hardware segment is also witnessing significant advancements, with cutting-edge processors being launched to cater to increasing computational demands of AI tasks.
Application: Increasing consumer adoption of AI-powered security & surveillance systems
Predictive maintenance involves the use of advanced analytics and modeling techniques to identify potential equipment failures before they happen, allowing businesses to save time and money by addressing issues proactively. Product design & development leverages AI technology in the ideation, conceptualization, prototyping, and testing phases of new product creation. This enables manufacturers to create better products faster while minimizing risks associated with failure. Quality control uses AI algorithms to ensure that manufactured products meet industry standards and customer requirements consistently. The technology allows for automated inspection systems that can detect defects or variations from specifications with high accuracy rates compared to traditional manual processes. AI-powered security & surveillance systems analyze video feeds for object identification, behavior recognition, and anomaly detection to enhance security measures and improve public safety. AI technology is transforming industries through applications such as predictive maintenance, product design & development, quality control, and security & surveillance by providing data-driven insights that drive efficiency and productivity while reducing costs.
End-User: Ongoing efforts to digitize the energy & utility sector for energy management and efficient maintenance
In the banking & finance sector, composite AI adoption is driven by the need to improve customer experience, ensure regulatory compliance, and optimize operational efficiency. The energy & power sector leverages composite AI for predictive maintenance of assets, energy management optimization, and demand forecasting. Healthcare organizations employ composite AI to enhance patient outcomes through personalized care plans, early diagnosis of diseases, drug development acceleration, and telemedicine services improvement. In manufacturing environments, composite AI finds utility in process automation enhancement to reduce waste, quality control optimization, and improve supply chain efficiency. Media & entertainment companies adopt composite AI techniques for content personalization, automated video editing, target audience analysis, and copyright enforcement. The retail sector relies on composite AI solutions for demand forecasting accuracy improvement, dynamic pricing strategy development, customer segmentation refinement, and virtual shopping experiences enhancement. In the transportation industry, composite AI has been employed for route optimization purposes, autonomous vehicle development acceleration, logistics management improvement, and traffic pattern analysis enrichment.
Regional Insights
The North American market is characterized by a mature economy with high levels of e-commerce penetration. Consumer preferences are diverse and constantly evolving due to technological advancements. The region is witnessing significant investment in research and development (R&D), with major corporations seeking to protect their innovations through patents. The EU region has a highly competitive retail landscape due to its well-developed infrastructure and diverse range of products available throughout its member states. Additionally, EU governments are actively involved in funding research projects related to artificial intelligence (AI) and blockchain technology. In the APAC region, investment in AI research has surged across the region, with major tech companies leading the charge. Moreover, mobile penetration rates are high in this area, which has led to significant adoption of digital payment platforms among consumers.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Composite AI 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 Composite AI 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 Composite AI Market, highlighting leading vendors and their innovative profiles. These include ACTICO GmbH, Amazon Web Service, Inc., BST LABS, CognitiveScale by Tecnotree Corporation, DataRobot, Inc., Diwo, Google LLC by Alphabet Inc., H2O.ai, Inc., HP Development Company, L.P., Intel Corporation, International Business Machines Corporation, Microsoft, Inc., Netra Ltd. by Claravine, Open Text Corporation, Oracle Corporation, Salesforce, Inc., SAS Institute Inc., Squirro AG, UiPath, and ZestFinance 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 Composite AI Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Composite AI Market?
3. What are the technology trends and regulatory frameworks in the Composite AI Market?
4. What is the market share of the leading vendors in the Composite AI Market?
5. Which modes and strategic moves are suitable for entering the Composite AI Market?