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

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

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.

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.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the AI for Wireless Technology Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers

• Exponential surge in wireless data traffic, necessitating efficient network management solutions
• Advancements in machine learning and deep learning technologies leading to innovation in wireless technologies
• The proliferation of smart devices and IoT applications across industries

Market Restraints

• Data privacy and security concerns related to AI for Wireless technology

Market Opportunities

• Advancements in AI-based predictive analytics for improving network reliability and performance
• Integration of AI in the development and deployment of next-generation wireless technologies such as 6G technology

Market Challenges

• The complexity and cost of integrating AI into existing wireless infrastructures

Market Segmentation Analysis

• Protocol: Advances of AI in wireless technology protocols
• End Users: Diverse applications across end-use industries

Market Disruption Analysis

• Porter’s Five Forces Analysis
• Value Chain & Critical Path Analysis
• Pricing Analysis
• Technology Analysis
• Patent Analysis
• Trade Analysis
• Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI for Wireless Technology Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the AI for Wireless Technology Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Viettel High Tech and DeepSig Announce Industry-First AI/ML-based Neural Receiver Operating in Live 5G Network

Viettel High Technology Industries Corporation (VHT), has partnered with AI and machine learning company DeepSig to launch the first-ever live AI/ML-enabled neural receiver in a 5G Open virtualized radio access network (vRAN) in Hanoi. The collaboration marks a significant advancement in wireless communications, with the AI/ML application enhancing signal processing to improve 5G user throughput and resource utilization in an Open vRAN setup.

Keysight And InterDigital To Demonstrate AI In 6G Systems At Mobile World Congress 2024

Keysight Technologies, Inc., in a pioneering collaboration with InterDigital Inc. launched a groundbreaking demonstration. This innovative approach leverages Keysight's specialized Electronic Design Automation (EDA) software to simulate a 3GPP physical layer and wireless channels, marking a shift from conventional signal processing to neural network-based channel estimation, aiming to optimize performance and adaptation to new applications.

NTT Docomo Deploys First AI-Powered 5G Network in Japan

NTT Docomo, has pioneered the commercial utilization of the 5G network powered by GPU-accelerated wireless technology, marking a notable achievement in collaboration with 13 technological enterprises such as Nvidia Corp, Fujitsu Global, and Wind River Systems Inc., under the 5G Open RAN Ecosystem Experience (OREX). The innovative deployment in Japan features a cutting-edge 5G virtual Radio Access Network (vRAN) developed by Fujitsu, leveraging Nvidia’s Aerial 5G vRAN stack, which is software and cloud-based, thereby optimizing resource distribution in line with mobile data demands.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI for Wireless Technology Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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., Telefónica, S.A., Wyebot, and ZTE Corporation.

Market Segmentation & Coverage

This research report categorizes the AI for Wireless Technology Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Components
• Hardware
• AI-enabled Chips
• Antennas
• Sensors
• Services
• Consulting
• Integration
• Maintenance
• Software
• AI algorithms
• Machine Learning Models
• Protocol
• 5G and Beyond
• Bluetooth Low Energy
• Constrained Application Protocol
• LoRaWAN
• Message Queuing Telemetry Transport
• Wi-Fi 6
• Zigbee
• Functional Module
• AI-Driven Spectrum Management
• AI-Powered Beamforming & Multiple Input Multiple Output
• Cognitive Radio Systems
• Machine Learning for Wireless Signal Processing
• Neural Network-Based Interference Mitigation
• End Users
• Government & Defense
• Healthcare
• Manufacturing
• Telecommunications
• Transportation
• Applications
• Network Optimization & Management
• Predictive Maintenance
• Security & Threat Detection
• Spectrum Management
• Traffic Analysis & Optimization
• Region
• Americas
• Argentina
• Brazil
• Canada
• Mexico
• United States
• California
• Florida
• Illinois
• New York
• Ohio
• Pennsylvania
• Texas
• Asia-Pacific
• Australia
• China
• India
• Indonesia
• Japan
• Malaysia
• Philippines
• Singapore
• South Korea
• Taiwan
• Thailand
• Vietnam
• Europe, Middle East & Africa
• Denmark
• Egypt
• Finland
• France
• Germany
• Israel
• Italy
• Netherlands
• Nigeria
• Norway
• Poland
• Qatar
• Russia
• Saudi Arabia
• South Africa
• Spain
• Sweden
• Switzerland
• Turkey
• United Arab Emirates
• United Kingdom

Please Note: PDF & Excel + Online Access - 1 Year