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Report
Artificial Intelligence (AI) Chipsets Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
Market Report I 2024-08-07 I 250 Pages I Global Market Insights
The AI chipsets market will exhibit a 34% CAGR during 2024-2032 due to the widespread adoption of AI technologies in sectors such as healthcare, automotive, finance, and retail. AI applications are crucial for automating tasks, improving decision-making, and enhancing customer experiences. In McKinsey's recent Global Survey on AI, 65% of respondents indicate that their organizations are consistently utilizing generative AI, almost twice the percentage reported in the previous survey. Additionally, the findings show that companies are now applying AI across a broader range of business functions. This adoption requires powerful computational capabilities, making AI chipsets essential. Their efficiency in processing large data volumes has led to substantial investments from companies seeking a competitive edge.
The demand for high-performance, energy-efficient hardware to support AI workloads is also driving market growth. As AI applications become more complex and data-intensive, the need for specialized chipsets that offer faster processing and lower power consumption increases. Additionally, advancements in semiconductor technologies, such as neuromorphic and quantum computing chips, are expanding AI hardware capabilities and fostering innovation. This combination of increased AI adoption, technological advancements, and the need for efficient processing power is favoring market outlook.
The AI chipsets industry is classified based on product, technology, processing type, industry vertical, and region.
The computer vision segment is experiencing rapid growth due to its expanding applications across industries such as automotive, healthcare, retail, and security. AI chipsets designed for computer vision enable machines to interpret and process visual data, powering advancements in areas like autonomous vehicles, facial recognition, medical imaging, and augmented reality. As demand for automation, real-time data processing, and intelligent surveillance systems increases, computer vision technology is gaining traction, driving the need for high-performance AI chipsets that can efficiently handle complex image and video analysis tasks with precision and speed.
The retail segment will hold a notable market share by 2032 as retailers increasingly adopt AI-driven solutions to enhance customer experiences, streamline operations, and improve decision-making. AI chipsets power technologies such as predictive analytics, personalized marketing, automated checkout systems, and inventory management, enabling retailers to offer more tailored and efficient services. With the growing focus on customer behavior analysis, demand forecasting, and real-time pricing strategies, AI chipsets are becoming essential tools for retailers aiming to stay competitive in a rapidly evolving digital marketplace.
Latin America Artificial Intelligence (AI) chipsets market is poised for notable growth through 2032, driven by the increasing adoption of AI technologies across key sectors such as finance, healthcare, and e-commerce. Governments and businesses in the region are recognizing the potential of AI to enhance operational efficiency, improve customer engagement, and drive innovation. Additionally, the expanding digital economy and growing demand for AI-driven applications, such as predictive analytics and automation, are further propelling the market.
Report Content
Chapter 1 Scope and Methodology
1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast parameters
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Industry 360synopsis, 2021-2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Technology and innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
3.6 Regulatory landscape
3.7 Impact forces
3.7.1 Growth drivers
3.7.1.1 Rising demand from automotive industry
3.7.1.2 Increasing demand for smart homes and smart cities across the globe
3.7.1.3 Increasing integration of AI in smartphone and smart wearable devices
3.7.1.4 Growing industrial automation across the globe
3.7.1.5 Growth of AI inferencing hardware in data centers
3.7.2 Industry pitfalls and challenges
3.7.2.1 High development and production costs
3.7.2.2 Heat dissipation and power consumption issues
3.8 Growth potential analysis
3.9 Porter's analysis
3.9.1 Supplier power
3.9.2 Buyer power
3.9.3 Threat of new entrants
3.9.4 Threat of substitutes
3.9.5 Industry rivalry
3.10 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Company market share analysis
4.2 Competitive positioning matrix
4.3 Strategic outlook matrix
Chapter 5 Market Estimates and Forecast, By Product, 2021-2032 (USD Million and Units)
5.1 Key trends
5.2 GPU
5.3 ASIC
5.4 FPGA
5.5 CPU
Chapter 6 Market Estimates and Forecast, By Technology, 2021-2032 (USD Million and Units)
6.1 Key trends
6.2 NLP
6.3 RPA
6.4 Computer vision
6.5 Network security
6.6 Others
Chapter 7 Market Estimates and Forecast, By Processing Type, 2021-2032 (USD Million and Units)
7.1 Key trends
7.2 Edge
7.3 Cloud
Chapter 8 Market Estimates and Forecast, By Industry Vertical, 2021-2032 (USD Million and Units)
8.1 Key trends
8.2 Consumer electronics
8.3 Media and advertising
8.4 BFSI
8.5 IT and telecom
8.6 Retail
8.7 Healthcare
8.8 Automotive
8.9 Others
Chapter 9 Market Estimates and Forecast, By Region, 2021-2032 (USD Million and Units)
9.1 Key trends
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Rest of Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Rest of Latin America
9.6 MEA
9.6.1 UAE
9.6.2 Saudi Arabia
9.6.3 South Africa
9.6.4 Rest of MEA
Chapter 10 Company Profiles
10.1 Alphabet Inc.
10.2 AMD (Advanced Micro Devices)
10.3 Analog Devices, Inc.
10.4 Apple Inc.
10.5 Arm Ltd.
10.6 Blaize
10.7 Graphcore
10.8 Groq, Inc.
10.9 Hailo
10.10 Huawei Technologies Co., Ltd.
10.11 IBM
10.12 Imagination Technologies
10.13 Infineon Technologies Inc
10.14 Intel Corporation
10.15 Kalray
10.16 LG Electronics
10.17 MediaTek Inc.
10.18 Micron Technology Inc
10.19 NVIDIA Corporation
10.20 NXP Semiconductors
10.21 Qualcomm Technologies, Inc
10.22 ROHM Co., Ltd.
10.23 Samsung Electronics Co., Ltd.
10.24 STMicroelectronics
10.25 Texas Instruments Incorporated
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