市场调查报告书
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1604677
物联网人工智慧市场:按组件、技术和行业划分 - 2025-2030 年全球预测Artificial Intelligence in IoT Market by Component (Platform, Services, Software), Technology (Ml & Deep Learning, Natural Language Processing), Vertical - Global Forecast 2025-2030 |
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2023年,人工智慧在物联网市场的价值为91.7亿美元,预计到2024年将达到107.5亿美元,复合年增长率为17.35%,预计到2030年将达到281.1亿美元。
物联网(IoT)中人工智慧(AI)的范围和定义是机器学习和深度学习等人工智慧技术与物联网连接设备的集成,以提高业务效率、资料分析、决策和自动化。 。物联网对人工智慧的需求是由互联设备的指数级增长所推动的,这些设备会产生大量资料,需要智慧处理才能获得有意义的见解。应用程式为智慧家庭、工业IoT、医疗保健、汽车和零售等众多行业提供预测性维护、即时分析、个人化体验和增强的安全性。最终用途包括寻求简化业务、降低成本和实现高阶分析的企业。关键的成长要素包括人工智慧功能的进步、物联网设备成本的降低以及对巨量资料高效处理的需求不断增加。然而,资料隐私问题、整合复杂性和初始实施成本高昂等市场挑战仍然存在。机会在于利用人工智慧开发在边缘设备上高效运行的人工智慧演算法、增强即时资料处理并提高物联网网路的网路安全。智慧城市计划和工业应用对人工智慧主导的分析的要求越来越高,为创新创造了肥沃的土壤。鼓励企业投资结合人工智慧和物联网的解决方案,以提高互通性并开发可满足特定产业需求的扩充性平台。由于技术的快速进步,市场竞争日益加剧,需要持续的研发投资才能保持领先地位。一个限制是,实施人工智慧取决于强大的基础设施和熟练的劳动力,这可能会减缓资源较少地区的采用速度。儘管资料标准化和监管合规性等领域仍然存在挑战,但透过探索自主物联网系统的突破并专注于人工智慧主导的物联网应用的以用户为中心的设计,将带来巨大的创新潜力。
主要市场统计 | |
---|---|
基准年[2023] | 91.7亿美元 |
预测年份 [2024] | 107.5亿美元 |
预测年份 [2030] | 281.1亿美元 |
复合年增长率(%) | 17.35% |
市场动态:针对快速发展的物联网人工智慧市场所揭示的关键市场洞察
物联网中的人工智慧市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态,公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险,同时也能帮助企业了解消费行为及其对製造业的影响。
波特五力:驾驭物联网人工智慧市场的策略工具
波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势,解决弱点并避免潜在的挑战,从而确保更强大的市场地位。
PESTLE分析:了解物联网市场人工智慧的外部影响
外部宏观环境因素在塑造物联网市场人工智慧的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素,公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化,并帮助他们做出积极主动的决策。
市场占有率分析 了解物联网人工智慧市场的竞争状况
对物联网市场中人工智慧的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势,为供应商提供了製定策略决策所需的洞察力,使他们能够在日益激烈的竞争中占有一席之地。
FPNV 物联网市场人工智慧供应商定位矩阵绩效评估
FPNV 定位矩阵是评估物联网市场人工智慧供应商的关键工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商,从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商,并确定最能满足您的策略目标的合作伙伴和解决方案。
策略分析与建议绘製物联网市场人工智慧的成功之路
对于旨在加强其在全球市场的影响力的公司来说,对物联网市场中的人工智慧进行策略分析至关重要。透过审查关键资源、能力和绩效指标,公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战,利用新的商机并取得长期成功。
1. 市场渗透率:详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。
2. 市场开拓:辨识新兴市场的成长机会,评估现有领域的扩张潜力,并提供未来成长的策略蓝图。
3. 市场多元化:分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。
4. 竞争评估与情报:彻底分析竞争格局,检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。
5. 产品开发与创新:重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。
1.目前的市场规模和未来的成长预测是多少?
2. 哪些产品、区隔市场和地区提供最佳投资机会?
3.塑造市场的主要技术趋势和监管影响是什么?
4.主要厂商的市场占有率和竞争地位如何?
5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么?
The Artificial Intelligence in IoT Market was valued at USD 9.17 billion in 2023, expected to reach USD 10.75 billion in 2024, and is projected to grow at a CAGR of 17.35%, to USD 28.11 billion by 2030.
The scope and definition of Artificial Intelligence (AI) in the Internet of Things (IoT) encompass the integration of AI technologies, like machine learning and deep learning, with IoT-connected devices to enhance operational efficiency, data analytics, decision-making, and automation. The necessity for AI in IoT stems from the exponential growth of connected devices generating vast amounts of data that require intelligent processing to extract meaningful insights. Applications span numerous sectors, including smart homes, industrial IoT, healthcare, automotive, and retail, facilitating predictive maintenance, real-time analytics, personalized experiences, and enhanced security. The end-use scope incorporates enterprises looking to streamline operations, reduce costs, and enable advanced analytics. Key growth factors include advances in AI capabilities, reduction in IoT device costs, and increasing demand for efficient handling of big data. However, market challenges such as data privacy concerns, integration complexities, and high initial deployment costs persist. Opportunities lie in developing AI algorithms that can operate efficiently on edge devices, enhancing real-time data processing, and leveraging AI for improving cybersecurity of IoT networks. There's a rising demand for AI-driven analytics in smart city projects and industrial applications, creating fertile ground for innovation. Businesses are recommended to invest in solutions that combine AI with IoT to improve interoperability and develop scalable platforms that address industry-specific needs. The market nature is competitive with rapid technological advancements, requiring continuous R&D investments to stay ahead. Limitations include the dependency on a robust infrastructure and skilled workforce for AI implementation, potentially slowing down adoption in segments with lesser resources. While challenges remain in areas like data standardization and regulatory compliance, exploring breakthroughs in autonomous IoT systems and focusing on user-centric design for AI-driven IoT applications provide significant innovation potential for growth.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 9.17 billion |
Estimated Year [2024] | USD 10.75 billion |
Forecast Year [2030] | USD 28.11 billion |
CAGR (%) | 17.35% |
Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in IoT Market
The Artificial Intelligence in IoT Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.
Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in IoT Market
Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in IoT Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.
PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in IoT Market
External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in IoT Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.
Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in IoT Market
A detailed market share analysis in the Artificial Intelligence in IoT Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.
FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in IoT Market
The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in IoT Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.
Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in IoT Market
A strategic analysis of the Artificial Intelligence in IoT Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in IoT Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Autoplant System India Pvt. Ltd., C3.ai, Inc., General Electric company, Google LLC by Alphabet Inc., Hitachi, Ltd., Imagimob AB, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, PTC Inc., Salesforce.com, Inc., SAP SE, SAS Institute Inc., and Softweb Solutions Inc..
Market Segmentation & Coverage
1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.
2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.
3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.
4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.
5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.
1. What is the current market size, and what is the forecasted growth?
2. Which products, segments, and regions offer the best investment opportunities?
3. What are the key technology trends and regulatory influences shaping the market?
4. How do leading vendors rank in terms of market share and competitive positioning?
5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?
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