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市场调查报告书
商品编码
1464711
无线技术人工智慧市场:按组件、通讯协定、功能模组、最终用户和应用划分 - 2024-2030 年全球预测AI for Wireless Technology Market by Components (Hardware, Services, Software), Protocol (5G and Beyond, Bluetooth Low Energy, Constrained Application Protocol), Functional Module, End Users, Applications - Global Forecast 2024-2030 |
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无线技术人工智慧市场规模预估2023年为320.1亿美元,2024年达到361.4亿美元,预计2030年将达到766.1亿美元,复合年增长率为13.27%。
无线技术市场的人工智慧包括部署人工智慧(AI)技术来增强、优化和创新无线通讯系统的业务和解决方案。市场成长主要受到无线资料流量快速成长的影响,推动了对高效网路管理解决方案的需求。深度学习和机器学习技术的不断进步也为无线技术的创新提供了肥沃的土壤。此外,智慧型设备和物联网应用的采用进一步增加了对人工智慧在网路服务和安全优化方面的需求。然而,对资料隐私和安全的担忧也是市场的主要限制。此外,目前人工智慧系统标准化的缺乏带来了互通性问题,限制了无线技术的广泛采用。此外,探索人工智慧在下一代无线技术的开发和部署中的整合也是创新的重要途径。学术研究机构在前沿人工智慧研究方面的合作可以进一步增加市场成长的潜力。
主要市场统计 | |
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基准年[2023] | 320.1亿美元 |
预测年份 [2024] | 361.4亿美元 |
预测年份 [2030] | 766.1亿美元 |
复合年增长率(%) | 13.27% |
通讯协定:人工智慧在无线技术通讯协定方面的进步
5G 技术非常适合需要高速资料传输和低延迟的应用,例如串流媒体服务、物联网、自动驾驶汽车和智慧城市。 BLE 是传统蓝牙的节能变体,专为装置之间的短距离无线通讯而设计。 CoAP 旨在转换为 HTTP 以简化与网路的集成,并且可以在受限的设备和网路上使用。 LoRaWAN 非常适合智慧城市和农业监控等物联网应用中的远距、低功耗通讯。 MQTT 广泛应用于物联网中的设备到设备通讯。 Wi-Fi 6 适用于需要高吞吐量和高效资料处理的具有大量连接装置的环境,例如家庭、办公室和公共场所。 Zigbee 适用于低速、安全、可靠、节能的近距离无线通讯,例如智慧家庭和工业环境。
最终用户:最终用途产业的多样化应用
政府和国防部门正在将人工智慧无线技术用于安全通讯系统、监视和侦察。稳健、安全、智慧的通讯系统对于确保国家安全至关重要。医疗保健组织正在利用无线技术中的人工智慧进行远端患者监护、远距离诊断和健康资料分析。製造业正在无线技术中部署人工智慧,以实现生产流程自动化、监控设备运作状况并优化供应链。通讯产业的关键需求是人工智慧分析和管理极其庞大的资料集,以确保高效的网路效能和客户满意度。交通领域无线技术引入人工智慧主要用于物流和车队管理、自动驾驶车辆以及即时追踪和监控。
区域洞察
美洲地区正在大力投资研究,因为主要科技公司和新兴企业专注于基于人工智慧的预测分析、网路优化和安全功能增强方面的创新。在美国,在消费者对更有效率、可靠和安全通讯的需求的推动下,人工智慧与无线技术的整合正在迅速进展。在欧洲,重点是人工智慧和无线技术,以增强连接性、推动数位化并确保资料隐私。 GDPR 等法规对欧盟消费行为产生了重大影响,凸显了资料保护的重要性。在中东,人工智慧无线技术的采用正在迅速增加,以实现经济多元化并减少对石油的依赖。非洲呈现出多样化的格局,在无线技术中采用人工智慧具有巨大的潜力。非洲地区的需求是由都市区和偏远地区对强大且负担得起的连接解决方案的需求所推动的。在亚太地区,中国市场正在经历消费者对人工智慧无线技术的强劲采用,竞争格局非常激烈。日本强大的研发能力和社会5.0等政府倡议显示日本在利用人工智慧增强互联互通和建立智慧城市方面的共同努力。
FPNV定位矩阵
FPNV 定位矩阵对于评估无线技术市场的 AI 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,可以对无线技术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.竞争评估与资讯: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、製造能力等进行全面评估。
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.无线技术AI市场的市场规模与预测为何?
2.无线技术人工智慧市场预测期间需要考虑投资的产品、细分市场、应用程式和领域有哪些?
3.无线技术AI市场的技术趋势和法规结构是什么?
4.无线技术AI市场主要厂商的市场占有率为何?
5. 无线技术进入AI市场的适当型态和策略手段是什么?
[194 Pages Report] The AI for Wireless Technology Market size was estimated at USD 32.01 billion in 2023 and expected to reach USD 36.14 billion in 2024, at a CAGR 13.27% to reach USD 76.61 billion by 2030.
The AI for wireless technology market includes businesses and solutions that implement Artificial Intelligence (AI) technologies to enhance, optimize, or innovate wireless communication systems. The market growth is primarily influenced by exponential increase in wireless data traffic, driving demand for efficient network management solutions. Ongoing advancements in deep learning & machine learning technologies also provide fertile ground for innovation in wireless technologies. Moreover, the adoption of smart devices and IoT applications further amplifies the need for AI in optimizing network services and security. However, concerns regarding data privacy and security also serve as a major restraint for the market. Additionally, the current lack of standardization in AI systems poses interoperability issues, limiting broader adoption across the wireless technology spectrum. Moreover, exploring the integration of AI in the development and deployment of next-generation wireless technologies also presents a significant avenue for innovation. The collaboration of academic and research institutions on cutting-edge AI research can further amplify a business's potential for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 32.01 billion |
Estimated Year [2024] | USD 36.14 billion |
Forecast Year [2030] | USD 76.61 billion |
CAGR (%) | 13.27% |
Protocol: Advances of AI in wireless technology protocols
5G technology is ideal for applications requiring high data rates and low latency, such as streaming services, IoT, autonomous vehicles, and smart cities. BLE is a power-conserving variant of traditional Bluetooth, designed for short-range wireless communication between devices. CoAP is designed to translate to HTTP for simplified integration with the web, while also being usable with constrained devices and networks. LoRaWAN is ideal for long-range, low-power communication in IoT applications such as smart cities and agricultural monitoring. MQTT is widely used in IoT for device-to-device communication. Wi-Fi 6 is useful in environments with many connected devices such as homes, offices, and public venues, requiring high throughput and efficient data handling. Zigbee is preferred for low-rate, secure, reliable, and energy-efficient wireless communication within close proximity, such as in smart homes and industrial settings.
End Users: Diverse applications across end-use industries
The government & defense sector relies on AI for wireless technology for secure communication systems, surveillance, and reconnaissance operations. The need for robust, secure, and intelligent communication systems is paramount to ensure national security. Healthcare institutions leverage AI in wireless technology for remote patient monitoring, telediagnosis, and health data analytics. Manufacturers implement AI in wireless technology to automate production processes, monitor equipment health, and optimize supply chains. The primary need for telecommunications is for AI to analyze and manage exceedingly large datasets to ensure efficient network performance and customer satisfaction. The transportation sector's adoption of AI in wireless tech is mainly for logistics and fleet management, autonomous vehicles, and real-time tracking and monitoring.
Regional Insights
Significant investments are being channeled into research in the Americas region, with key tech companies and startups alike focusing on innovations in AI-based predictive analytics, network optimization, and enhanced security features. In the United States, the integration of AI in wireless technology is rapidly advancing, driven by consumer demand for more efficient, reliable, and secure communications. The European region focuses on AI and wireless technology, which enhances connectivity, advances digitization, and ensures data privacy. With regulations such as GDPR, consumer behavior in the EU is greatly influenced by the importance placed on data protection. The Middle East is witnessing a surge in the adoption of AI for wireless technology to diversify economies and reduce oil dependency. Africa presents a varied landscape with significant potential for adopting AI in wireless technology. The demand in the African region is driven by the need for robust and affordable connectivity solutions in both urban and remote areas. In the APAC region, the chinese market exhibits strong consumer adoption of AI-powered wireless technologies, driven by a highly competitive company landscape. Japan's strong R&D capabilities, combined with government initiatives like Society 5.0, illustrate a concerted effort to leverage AI for enhancing connectivity and creating smart cities.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the AI for Wireless Technology 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 AI for Wireless Technology 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 AI for Wireless Technology Market, highlighting leading vendors and their innovative profiles. These include Apple Inc., AT&T, Inc., Broadcom Inc., Cisco Systems, Inc., Google LLC by Alphabet Inc., Huawei Technologies Co., Ltd., Hughes Systique Corporation., IBM Corporation, Intel Connectivity, Juniper Networks, Inc., Keysight Technologies, Inc., Marvell Technology, Inc., MediaTek Inc., Microsoft Corporation, Nokia Corporation, NTT Docomo, Inc., Nvidia Corporation, Qualcomm Technologies, Inc., Rakuten Mobile, Inc., Samsung Electronics Co., Ltd., Silicon Laboratories by Skyworks Solutions, Inc., Telefonica, S.A., Wyebot, and ZTE Corporation.
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 AI for Wireless Technology Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI for Wireless Technology Market?
3. What are the technology trends and regulatory frameworks in the AI for Wireless Technology Market?
4. What is the market share of the leading vendors in the AI for Wireless Technology Market?
5. Which modes and strategic moves are suitable for entering the AI for Wireless Technology Market?