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Artificial Intelligence (Chipsets) Market Trends, Share Analysis, Size, Growth Status And Forecast To 203
Artificial Intelligence (Chipsets) Market Analysis
The Business Research Company's Artificial Intelligence (Chipsets) Global Market Report 2023 identifies rising demand for autonomous vehicles as the major driver for the artificial intelligence (chipsets) market's growth in the forecast period. Autonomous vehicles, also known as self-driving cars or driverless cars, can navigate and operate on the road without direct human input. Artificial intelligence chipsets are used in autonomous vehicles to process sensor data, analyze the surrounding environment, make real-time decisions, and enable safe and efficient navigation without human intervention.
The global artificial intelligence (chipsets) market is expected to grow from $13.72 billion in 2022 to $18.25 billion in 2023 at a compound annual growth rate (CAGR) of 33.1%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The artificial intelligence (chipsets) market is expected to reach $54.45 billion in 2027 at a CAGR of 31.4%.
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Major competitors in the artificial intelligence (chipsets) market are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Co. Ltd., Intel Corporation.
A key trend in the artificial intelligence (chipsets) market includes technological advancement. Major companies operating in the artificial intelligence (chipsets) market are focused on technological advancements to meet specific demands and sustain their position in the market. For instance, in June 2020, Corerain Technologies Co Ltd, a China-based artificial intelligence company, launched commercial artificial intelligence chip based on streaming architecture. It claims the efficiency of the custom artificial intelligence streaming architecture (CAISA) chip with 3.9 times that of NVIDIA's T4 GPU. This chip was the first to mass produce such AI chips and is applicable for automatic driving, smart cities, and intelligent manufacturing markets.
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The artificial intelligence (chipsets) market is segmented -
1) By Hardware: Processor, Memory, Network
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis
3) By Function: Training, Inference
4) By Computing Technology: Cloud AI Computing, Edge AI Computing
5) By Industry Vertical: Consumer Electronics, Media And Advertising, Banking, Financial Services and Insurance (BFSI), Information Technology (IT) And Telecom, Retail, Healthcare, Automotive, Other Industry Verticals
• By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. North America was the largest region in the artificial intelligence (chipsets) market.
The Business Research Company's "Global Artificial Intelligence (Chipsets) Market Report 2023" provides a thorough understanding of the market across 60 geographies. The report covers market size, growth rate, segments, drivers and trends in every region and country. In addition, the report offers insights on historical and forecast growth, helping players analyze and strategize better.
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The Table Of Content For The Artificial Intelligence (Chipsets) Market Include:
1. Executive Summary
2. Artificial Intelligence (Chipsets) Market Characteristics
3. Artificial Intelligence (Chipsets) Market Trends And Strategies
4. Artificial Intelligence (Chipsets) Market - Macro Economic Scenario
…..
32. Global Artificial Intelligence (Chipsets) Market Competitive Benchmarking
33. Global Artificial Intelligence (Chipsets) Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence (Chipsets) Market
35. Artificial Intelligence (Chipsets) Market Future Outlook and Potential Analysis
36. Appendix
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