市场调查报告书
商品编码
1618219
AIoT市场机会、成长动力、产业趋势分析及2024年至2032年预测AIoT Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032 |
2023 年,全球 AIoT 市场价值 108 亿美元,预计 2024 年至 2032 年复合年增长率为 24.6%。 这种快速增长主要是由政府加大数位化转型倡议推动的。世界各国政府正在认识到 AIoT 技术在提高效率、促进创新和增强公共服务方面的潜力。透过资助智慧城市、先进製造和数位基础设施领域的项目,他们正在为人工智慧物联网的采用创造支援性环境,通常专注于整合人工智慧和物联网,以优化资源管理、交通和医疗保健系统。 AIoT 市场成长的一个重要驱动力是对能源效率和永续性的重视。
随着人们对气候变迁和资源枯竭的日益担忧,企业和政府都在优先考虑减少能源消耗和优化资源利用的技术。 AIoT 解决方案透过实现更智慧的能源管理和自动化,对于实现这些永续发展目标至关重要。对永续发展的关注正在刺激各行业对 AIoT 技术的投资,因为组织努力提高营运效率,同时尽量减少对环境的影响。软体领域在 AIoT 市场占据主导资料,到 2023 年将占据超过 65% 的市场份额,预计到 2032 年将超过 450 亿美元。
当公司采用 AIoT 解决方案时,他们会透过互连工具创建大量资料。这些资料蕴藏着宝贵的见解,可以优化营运、增强决策并推动创新。具有复杂分析功能的 AIoT 软体使企业能够即时处理和分析资料,识别模式、趋势和异常。随着各产业更加重视数据驱动,对具有强大分析功能的 AIoT 软体的需求持续成长。
市场范围 | |
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开始年份 | 2023年 |
预测年份 | 2024-2032 |
起始值 | 108亿美元 |
预测值 | 756 亿美元 |
复合年增长率 | 24.6% |
在部署方面,到2023年,云端细分市场占据约67%的市场份额。云端平台提供处理波动的工作负载所需的可扩展性,使组织能够即时调整其资源。此外,云端部署加速了人工智慧和物联网功能的持续整合,无需大量本地基础设施即可进行进阶资料处理和分析。这降低了前期成本并简化了维护,使其成为各种规模组织的有吸引力的选择。
美国AIoT市场在2023年占据80%的份额,预计到2032年将超过170亿美元。智慧製造使用互连设备和进阶分析来最大限度地减少生产程序、监控设备执行情况并检测维护需求。透过将人工智慧与物联网系统集成,企业可以即时了解其营运情况,从而加快决策速度并改善资源管理。对个人化商品和活跃供应链的需求进一步鼓励製造商实施具有灵活性和反应能力的 AIoT 解决方案。
The Global AIoT Market was worth USD 10.8 billion in 2023 and is predicted to grow at a CAGR of 24.6% from 2024 to 2032. This rapid growth is largely driven by increased government initiatives aimed at digital transformation. Governments worldwide are recognizing the potential of AIoT technologies to boost efficiency, foster innovation, and enhance public services. By funding projects in smart cities, advanced manufacturing, and digital infrastructure, they are creating a supportive environment for AIoT adoption, often focusing on integrating AI and IoT to optimize resource management, transportation, and healthcare systems. A significant driver of AIoT market growth is the emphasis on energy efficiency and sustainability.
With growing concerns about climate change and resource depletion, both businesses and governments are prioritizing technologies that reduce energy consumption and optimize resource use. AIoT solutions are crucial for achieving these sustainability goals by allowing smarter energy management and automation. This focus on sustainability is spurring investments in AIoT technologies across various sectors as organizations strive to enhance operational efficiency while minimizing their environmental impact. The software segment dominated the AIoT market, accounting for over 65% of the market share in 2023, and is expected to surpass USD 45 billion by 2032. This growth is driven by the increasing need for advanced data analytics.
As companies incorporate AIoT solutions, they create huge data from interconnected tools. This data holds valuable insights that can optimize operations, enhance decision-making, and drive innovation. AIoT software with sophisticated analytics capabilities allows businesses to process and analyze data in real-time, identifying patterns, trends, and anomalies. As industries focus more on becoming data-driven, the demand for AIoT software with robust analytics features continues to grow.
Market Scope | |
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Start Year | 2023 |
Forecast Year | 2024-2032 |
Start Value | $10.8 billion |
Forecast Value | $75.6 billion |
CAGR | 24.6% |
Regarding deployment, the cloud segment held around 67% of the market share in 2023. The demand for scalable and flexible infrastructure is driving the growth of cloud deployment. Cloud platforms offer the scalability needed to handle fluctuating workloads, enabling organizations to adjust their resources in real-time. In addition, cloud deployment accelerates the continuous incorporation of AI and IoT capabilities, allowing advanced data processing and analytics without extensive on-premises infrastructure. This reduces upfront costs and simplifies maintenance, making it an attractive option for organizations of all sizes.
U.S. AIoT market captured an 80% share in 2023 and is expected to exceed USD 17 billion by 2032. This dominance is due to the increasing emphasis on smart manufacturing and industrial automation. Smart manufacturing uses interconnected devices and advanced analytics to minimize production procedures, monitor equipment execution, and detect maintenance requirements. By integrating AI with IoT systems, businesses can gain real-time insights into their operations, enabling faster decision-making and improved resource management. The need for personalized goods and active supply chains further encourages manufacturers to implement AIoT solutions that enable flexibility and responsiveness.