Introduction

AI Chipsets market was valued at USD 51.2 billion in 2023 and is estimated to reach USD 131.8 billion by 2028, registering a CAGR of 20.8% during the forecast period.

Nvidia, a leader in graphics processing technology, is at the forefront of the AI revolution with its cutting-edge chipsets. These AI-driven Nvidia chipsets are transforming various industries by enabling faster data processing, improved machine learning capabilities, and enhanced overall performance. As demand for AI solutions skyrockets, Nvidia’s innovative chipsets are playing a crucial role in shaping the future of computing.

Key Innovations

1. Nvidia A100 Tensor Core GPU: This flagship AI chipset is designed for high-performance computing and data centers. It delivers exceptional processing power, making it ideal for complex AI workloads, including deep learning and neural networks.
2. Nvidia Grace CPU: Announced to complement the company’s GPU lineup, the Grace CPU is tailored for AI and high-performance computing applications. It offers a significant boost in performance and efficiency, enabling faster data processing and analysis.
3. Nvidia Jetson: Targeted at edge AI and robotics applications, the Jetson lineup provides powerful AI capabilities in a compact form factor. It supports real-time data processing, making it ideal for autonomous machines and IoT devices.

Top Automated Border Control Companies — Key Market Players

The automated border control companies are dominated by a few globally established players such as Vision-Box (Portugal), SITA (Netherlands), Secunet Security Networks AG (Germany), IDEMIA (France), Thales (France), NEC Corporation (Japan), Indra Sistemas, S.A. (Spain), Gunnebo AB (Sweden), and HID Global Corporation (US).

Industry Applications

1. Healthcare: Nvidia’s AI chipsets are revolutionizing medical imaging, drug discovery, and personalized medicine. The enhanced processing power and machine learning capabilities enable faster and more accurate diagnosis and treatment plans.
2. Automotive: In the automotive industry, Nvidia’s AI chipsets are crucial for developing autonomous vehicles. They provide the necessary computational power to process data from various sensors and make real-time driving decisions.
3. Finance: Financial institutions leverage Nvidia’s AI chipsets for algorithmic trading, risk management, and fraud detection. The chipsets’ ability to process large datasets quickly and accurately is invaluable in these applications.
4. Gaming: Nvidia’s AI chipsets continue to push the boundaries of gaming technology, delivering stunning graphics and immersive experiences. The real-time ray tracing and AI-enhanced graphics capabilities set new standards in the gaming industry.

1 INTRODUCTION (Page No. — 29)

1.1 STUDY OBJECTIVES

1.2 MARKET DEFINITION

1.2.1 INCLUSIONS AND EXCLUSIONS

1.3 STUDY SCOPE

1.3.1 MARKETS COVERED

FIGURE 1 AUTOMATED BORDER CONTROL MARKET: MARKET SEGMENTATION

1.3.2 GEOGRAPHICAL SCOPE

1.3.3 YEARS CONSIDERED

1.4 CURRENCY CONSIDERED

1.5 RESEARCH LIMITATIONS

1.6 STAKEHOLDERS

1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. — 34)

2.1 RESEARCH DATA

FIGURE 2 AUTOMATED BORDER CONTROL MARKET: RESEARCH DESIGN

2.1.1 SECONDARY AND PRIMARY RESEARCH

2.1.2 SECONDARY DATA

2.1.2.1 Major secondary sources

2.1.2.2 Key data from secondary sources

2.1.3 PRIMARY DATA

2.1.3.1 Primary interviews with experts

2.1.3.2 Key data from primary sources

2.1.3.3 Key industry insights

2.1.3.4 Breakdown of primaries

2.2 MARKET SIZE ESTIMATION

FIGURE 3 APPROACH (SUPPLY SIDE): REVENUE GENERATED THROUGH SALES OF PRODUCTS/SOLUTIONS/SERVICES FOR AUTOMATED BORDER CONTROL MARKET

2.2.1 BOTTOM-UP APPROACH

2.2.1.1 Approach for arriving at market size using bottom-up analysis

FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH

2.2.2 TOP-DOWN APPROACH

2.2.2.1 Approach for capturing market sizing using top-down analysis

FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH

2.3 MARKET BREAKDOWN AND DATA TRIANGULATION

FIGURE 6 AUTOMATED BORDER CONTROL MARKET: DATA TRIANGULATION

2.4 STUDY ASSUMPTIONS

FIGURE 7 STUDY ASSUMPTIONS IN AUTOMATED BORDER CONTROL MARKET

2.5 APPROACH TO UNDERSTANDING IMPACT OF RECESSION ON AUTOMATED BORDER CONTROL MARKET

2.6 RESEARCH LIMITATIONS AND RISK ASSESSMENT

TABLE 1 RESEARCH LIMITATIONS AND ASSOCIATED RISKSa