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AI Systems Market Projected to Hit $1.2 Trillion by 2029
2025-07-25 04:40:16
Artificial Intelligence
Technology

AI Systems Market Projected to Hit $1.2 Trillion by 2029

The artificial intelligence systems spending market is on a trajectory of remarkable growth, anticipated to reach $257.15 billion by 2025 and an astounding $1,225.92 billion by 2029. Key drivers include advanced computational capabilities and increased adoption across various sectors, particularly healthcare.

Concurrently, the GPU as a Service market is expected to expand significantly, fueled by the rising demand for AI and machine learning applications. Major tech firms like Amazon and Google are at the forefront, providing essential resources for businesses.

Additionally, Alphabet has notably increased its 2023 capital expenditure forecast, reflecting the skyrocketing demand for AI infrastructure. Moreover, the radar market is projected to double by 2035, propelled by AI integration and cutting-edge sensing technologies.

This convergence of investments underscores a robust commitment to advancing AI and its applications across multiple industries.

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The Intelligent Transportation Systems (ITS) market is on the brink of significant expansion, projected to soar from $48.61 billion in 2024 to $170.94 billion by 2034. This growth is primarily fueled by urbanization, a rising number of road accidents, and substantial government investments. The integration of autonomous vehicles and the development of smart cities are pivotal trends driving this evolution. Additionally, advancements in Vehicle-to-Everything (V2X) communications are set to enhance safety and connectivity in transportation. As the automotive industry embraces connected vehicles and 5G technology, the market is poised for unprecedented growth. Other sectors, such as space traffic management, are also expanding due to increased launch activities and satellite communication needs. The intersection of innovation and necessity shapes the future of intelligent transportation.

The press radar on this topic:

The Street
26. Juli 2025 um 11:18

Alphabet delivers surprising AI spending update TheStreet Daily Newsletter

Alphabet, the parent company of Google, has ramped up its capital expenditure (capex) forecast for 2023 to $85 billion, significantly higher than the $73 billion expected by Wall Street. This surge in spending is driven by the growing demand for AI-related services and infrastructure, as evidenced by the strong performance of Google Cloud, which saw a 32% year-over-year revenue increase and a significant jump in operating income. The article suggests that the hyperscaler wars are still ongoing,..
openpr
24. Juli 2025 um 12:44

Future of the Artificial Intelligence Systems Spending Market: Trends, Innovations, and Key Forecasts Through 2034

The artificial intelligence systems spending market is projected to grow rapidly, reaching $257.15 billion in 2025 and $1225.92 billion by 2029, driven by factors like enhanced computational capabilities, cloud computing, and increased AI adoption in industries like healthcare. Key trends include AI in edge computing, cybersecurity, and strategic alliances.
openpr
24. Juli 2025 um 18:34

Radar Market Set to Double to USD 85.6 Billion by 2035, Driven by AI Integration and Advanced Sensing

Future radar trends include integrating AI analytics, 5G-driven transmission, and quantum technology to minimize detection time and enhance data processing. As governments invest in defense modernization, intelligent transportation, and climate monitoring, the radar industry is poised for substantial expansion.
openpr
24. Juli 2025 um 19:30

GPU as a Service Market worth $26.62 Billion by 2030, at a CAGR of 26.5%

The GPU as a Service market is expected to grow rapidly, driven by the surge in AI and machine learning applications, the adoption of hybrid cloud deployment, and the increasing demand from SMEs leveraging cloud-based GPU resources from providers like AWS, Azure, and Google Cloud. Key players in the market include Amazon Web Services, Microsoft, Google, Oracle, IBM, Coreweave, Alibaba Cloud, Lambda, Tencent Cloud, and Jarvislabs.ai, who are enabling businesses to access high-performance GPUs for..
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