AI In Hardware Market Growth Revenue, Share And Opportunities 2024-2033

The Business Research Company has updated its global market reports with latest data for 2024 and projections up to 2033.

The AI In Hardware by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s AI In Hardware, The ai in hardware market size has grown exponentially in recent years. It will grow from $20.88 billion in 2023 to $25.96 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%.  The  growth in the historic period can be attributed to strong economic growth in emerging markets, increase in penetration of smartphones and rise in adoption of ai hardware in banking, it and telecom.The ai in hardware market size is expected to see exponential growth in the next few years. It will grow to $58.61 billion in 2028 at a compound annual growth rate (CAGR) of 22.6%.

The adoption of AI hardware in banking, IT, and telecom sectors is expected to drive the growth of the AI hardware market going forward. These industries are witnessing significant growth and are increasingly integrating AI technologies to enhance their operations, elevate customer experiences, and foster innovation. AI hardware plays a crucial role in banking by improving fraud detection and prevention, managing risks, and enhancing customer service. In the IT sector, AI hardware is utilized to analyze extensive datasets from connected devices, enabling the detection of anomalies and predictive maintenance scheduling. Similarly, in the telecom sector, AI-enabled hardware is employed to analyze real-time network traffic, identifying and resolving performance issues promptly. For example, in January 2022, according to the Government Digital Service, AI adoption in IT and telecom reached 29.5%. In 2021, banking and IT sectors led AI adoption with 52%, followed by media and telecoms with 38%. Hence, the increasing adoption of AI hardware across banking, IT, and telecom sectors is fueling the growth of the AI in hardware market.

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The ai in hardware market covered in this report is segmented –
1) By Type: Processor, Memory Network, Storage
2) By Deployment: Cloud, On-Premise
3) By Technology: Machine Learning, Computer Vision, Natural Language Processing, Expert Systems
4) By Application: Training And Simulation, Driver Monitoring Systems, Surveillance And Security, Other Applications
5) By End User: Telecommunication And IT (Information Technology) Industry, Banking And Finance Sectors, Ecommerce, Robotics, Healthcare, Other End Users

Top Major Players

Qualcomm Technologies,

Alphabet Inc.,

Micron Technology,

NVDIA Corporation,

Huawei Technologies Co. Ltd.

The ai in hardware market report table of contents includes:
            1. Executive Summary

2. AI In Hardware Market Characteristics
3. AI In Hardware Market Trends And Strategies
4. AI In Hardware Market – Macro Economic Scenario
5. Global AI In Hardware Market Size and Growth
6. AI In Hardware Market Segmentation
7. AI In Hardware Market Regional And Country Analysis

……………….

34. Key Mergers And Acquisitions In The AI In Hardware Market
35. AI In Hardware Market Future Outlook and Potential Analysis
36. Appendix

    List Of Tables :

Table 1: Global Historic Market Growth, 2018-2023, $ Billion

Table 2: Global Forecast Market Growth, 2023-2028F, 2033F, $ Billion

Table 3: Global AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

Table 4: Global AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

Table 5: Global AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

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Table 76: Qualcomm Technologies Financial Performance

Table 77: Alphabet Inc. Financial Performance

Table 78: Micron Technology Financial Performance

Table 79: NVDIA Corporation Financial Performance

Table 80: Huawei Technologies Co. Ltd. Financial Performance 

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