市場調查報告書
商品編碼
1504882
AIoT 市場規模、佔有率和成長分析:按產品、按技術、按應用、按最終用戶、按地區 - 行業預測,2024-2031 年Artificial Intelligence of Things Market Size, Share, Growth Analysis, By Offering, By Technology(Machine learning, natural language processing, generative ai, robotics), By Application, By Industry Vertical, By Region - Industry Forecast 2024-2031 |
2022年AIoT市場規模預計為655億美元,從2023年的820.1億美元成長到2031年的4950.9億美元,預計在預測期內(2024-2031年)複合年成長率為25.2%。
AIoT市場正在快速發展,人工智慧與物聯網的融合正在成為全球轉型的關鍵催化劑。這種融合有望徹底改變我們與科技的互動,並改善許多領域的日常生活。智慧演算法和機器學習模型在 AIoT 市場中至關重要,有助於促進 AI 框架與 IoT 設備、系統和感測器的連接。這種整合使連接的設備能夠分析資料、做出決策、自主採取行動、最佳化效率並提供有價值的見解。數十億物聯網設備的激增,加上產生的資料呈指數級成長,進一步推動了人工智慧物聯網市場的發展。這將使物聯網設備能夠從資料中獲取價值,增強自我最佳化,自主改善功能並提供個人化的使用者體驗。例如,2023 年 6 月,Amazon Go 商店透過 AIoT 創新顛覆了零售業。這家無收銀員商店利用人工智慧驅動的互聯智慧設備,在出口處直接從顧客的電子錢包中金額購買金額,並在商品從購物車中移除時立即調整總合,這從根本上改變了購物體驗。
Artificial Intelligence of Things (AIoT) Market size was valued at USD 65.50 billion in 2022 and is poised to grow from USD 82.01 billion in 2023 to USD 495.09 billion by 2031, growing at a CAGR of 25.2% during the forecast period (2024-2031).
The Artificial Intelligence of Things (AIoT) market is rapidly evolving and stands as a significant catalyst for change globally, merging artificial intelligence with the Internet of Things. This convergence is poised to revolutionize our interaction with technology, enhancing daily life across various sectors. Intelligent algorithms and machine learning models are pivotal within the AIoT market, facilitating the connection between AI frameworks and IoT devices, systems, and sensors. This integration empowers connected devices to analyze data, make decisions, and autonomously perform actions, optimizing their efficiency and offering valuable insights. The proliferation of IoT devices, numbering in the billions, coupled with the exponential growth of generated data, drives the AIoT market further. This enables IoT devices to derive value from data, enhance self-optimization, autonomously improve functions, and provide personalized user experiences. For instance, in June 2023, Amazon Go stores disrupted the retail industry with AIoT innovations. These cashier-less stores utilize interconnected smart devices powered by AI, deducting purchases directly from customers' e-wallets upon exit and adjusting totals instantly if items are removed from the cart, fundamentally altering the shopping experience.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence of Things (AIoT) Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence of Things (AIoT) Market Segmental Analysis
Global Artificial Intelligence of Things (AIoT) Market is segmented by offering, technology, application, industry vertical, and region. Based on offering, the market is segmented into hardware, software, and services. Based on technology, the market is segmented into machine learning, natural language processing (NLP), generative ai, robotics, computer vision, autonomous and sensor technology. Based on application, the market is segmented into real-time machinery condition monitoring, supply chain management, predictive maintenance, inventory management, energy consumption management, and others. Based on industry vertical, the market is segmented into BFSI, manufacturing, healthcare, automotive, retail, transportation & logistics, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Artificial Intelligence of Things (AIoT) Market
AIoT has a great influence over digital homes and extends its effort towards the development of sustainable communities. This has fostered the application for the efficient use of energy and water for smart cities and has furthered the market advancement. They augment process efficiency through facilitating automation and improved decision making. For instance, Smart City Development, a company that specializes in manufacturing and conceptualizing smart cities at an affordable price, proposes a solution known as Smart Infrastructure Management or SIM. The solution being referred to lays its foundation in IoT, considered as the foundational pillar of the framework as it presents data processed by AI. Moreover, AIoT is initiatory and deployed to recognize characteristic events. It is implemented onto SIM's tank truck and water management to pre-alert of low water levels in overhead tank (OHT) and subsequently turning on the refill pumps. This helps residents to have a constant water supply while reducing water wastage and boosting the standard of living. So, we see that adopting AIoT to encourage efficient utilization of water and energy is one of the key reasons for the expansion of the global market.
Restraints in the Artificial Intelligence of Things (AIoT) Market
Interoperability between AI and IoT devices raises significant concerns due to inherent security challenges. AIoT systems are data-intensive, handling large volumes of potentially sensitive information, making them susceptible to cybersecurity threats. Security, privacy, and the isolation needed to prevent unauthorized access to AIoT networks are critical concerns in the market. Consequently, safeguarding AIoT systems from malicious attacks and ensuring the confidentiality of user information are major obstacles impeding market growth.
Market Trends of the Artificial Intelligence of Things (AIoT) Market
AIoT is emerging as a potent tool for automating industries and revolutionizing robotics. Modern robots, driven by artificial intelligence principles, can interpret speech and gestures, exchange information, coordinate actions, learn, and operate autonomously under varying conditions, performing complex tasks without human intervention. This trend is significantly enhancing manufacturing, logistics, and various other sectors. AIoT transforms robotics by imbuing them with intelligence and self-sufficiency. Within robots, smart IoT devices collect environmental data such as sensor readings and machine performance metrics. AI algorithms utilize this data to make informed decisions, learn from experiences, adapt to new environments, and enhance operational speed across diverse projects. The integration of autonomous systems with industrial processes promises heightened efficiency and optimized resource utilization across multiple industries. For example, in January 2022, Hitachi Industrial Equipment Systems Co., and Hitachi Limited announced plans to expand their global footprint in industrial robotics across Japan and the ASEAN region. Their strategy includes pioneering full turnkey solutions in line construction fused with digital technologies, reflecting how industrial automation and robotics are driving advancements in the AIoT market.