Press Release Description
AI Chips Global Market to be Valued Around USD 360 Billion by 2030
The Global AI Chips Market size was valued at around USD 123 billion in 2024 and is projected to reach USD 360 billion by 2030. The market is also estimated to grow at a CAGR of around 20.2% during the forecast period, i.e., 2025-30, cites MarkNtel Advisors in the recent research report. The most essential driver of the Global AI Chips Market is the increased demand for big data and real-time analytics. As trends in digitization push manufacturers to analyze large volumes of data from automation, IoT devices, and industries, businesses could call for high-performance computing applications for analyzing these loads with pace for actionable insights.
Furthermore, owing to the rapid penetration of AI into diverse industries, such as healthcare, automotive, and retail, the global market for AI chips has recently been burgeoning. High-performance computing demands for the cloud and edge applications are likewise pushing up the need for AI chips. Custom-built AI processors are being deployed by cloud companies such as Amazon Web Services and Google Cloud for accelerating data-intensive tasks. Additionally, computer vision tasks and natural language processing (NLP) applications are emphasizing the importance of AI chips engineered for high-throughput and low-latency operations, due to applications in real-time language translation and facial recognition.
The lack of qualified workers and the growing complexity of AI chip design present major obstacles for the growth of the global AI chip industry. AI chip design necessitates knowledge of hardware-software integration, AI algorithms, and semiconductor manufacturing, all of which are still specialized fields. But to tackle this challenge, professionals are upgrading their skills to minimize the knowledge gap and meet the required demand for Advanced AI-enabled chips.
Additionally, emerging markets present abundant opportunities as governments and corporations invest in AI-powered technologies. Because of government incentives, artificial intelligence is increasingly being used in robotics industrial automation, and smart city initiatives in Southeast Asian and Middle Eastern markets. Furthermore, collaboration between AI startups and semiconductor giants is speeding up innovation and will notably propel the market growth, further states the research report, “Global AI Chips Market Analysis, 2025”.
Global AI Chips Market Segmentation Analysis
Machine Learning Attracts a Large Group of End-Users
Based on technology, the market is further bifurcated into Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, and Predictive Analysis. Machine Learning (ML) holds a roughly 40% market share and dominates the global market for AI chips. The dominance of ML can be attributed to its extensive use in numerous industries. These chips facilitate real-time decision-making, pattern recognition, and predictive analytics which in turn enable sophisticated automation and operational efficiency. ML-powered AI chips are used in the automotive industry to power autonomous car systems and in healthcare to aid in disease diagnosis and drug discovery. Additionally, AI chips efficiently provide the processing power required by ML algorithms which makes them crucial for applications like fraud detection and recommendation engines.
North America Holds the Largest Market Share
Geographically, North America holds around 40% of the Global AI Chips Market, making it the leading region. The most important region for the dominance is that a number of the most important tech corporations like; Google, NVIDIA, and Intel are at the forefront of developing AI chips. The efforts of governments and venture capital in the region’s AI startup companies have attracted substantial investments in the R&D associated with AI Chips. Furthermore, North America's need for AI chips will upward thrust in tandem with the faster adoption of AI technology in sectors like; healthcare, Finance, and the automobile industry. The growth of cloud and edge computing data centers is another factor that is presently fueling the demand for AI chips in North America, ultimately boosting the growth & expansion of the North American AI Chips Industry.
Competitive Landscape
With strategic initiatives such as mergers, collaborations, and acquisitions, the leading market companies, including NVIDIA, Google Cloud, AMD, Intel, Qualcomm, Apple Inc., IBM, Cerebras Systems Inc., Microsoft Corporation, TSMC, Amazon Web Services, Alphabet Inc., Micron Technology, Applied Materials, Texas Instruments, Samsung, HCL Technologies, and Others are looking forward to strengthening their market positions.
Key Questions Answered in the Research Report
- What are the industry’s overall statistics or estimates (Overview, Size- By Value, Forecast Numbers, Segmentation, Shares)?
- What are the trends influencing the current scenario of the market?
- What key factors would propel and impede the industry across the globe?
- How has the industry been evolving in terms of geography & solution adoption?
- How has the competition been shaping up across the regions?
- How have buying behavior, customer inclination, and expectations from product manufacturers been evolving during 2020-30?
- Who are the key competitors, and what strategic partnerships or ventures are they coming up with to stay afloat during the projected time frame?
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