Machine learning by Business wirenews
ARTIFICIAL INTELLIGENCE MARKET BY TECHNOLOGY, HARDWARE, END-USER INDUSTRY, AND REGION – GLOBAL FORECAST TO 2026 – RESEARCHANDMARKETS.COM “Artificial Intelligence (Chipsets) Market by Technology (Machine learning, Natural Language Processing, Context Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Region – Global Forecast to 2026” The AI (chipsets) market is expected to be valued at USD 7.3 billion in 2020 and is likely to reach USD 57.8 billion by 2026, at a CAGR of 40.1% during the forecast period. Major drivers for the market are increasingly large and complex datasets driving the need for AI, the adoption of AI for improving consumer services & reducing operational costs, the growing number of AI applications, the improving computing power, and growing adoption of deep learning and neural networks. The major restraint for the market is the lack of a skilled workforce. Critical challenges facing the AI (chipsets) market include low return on investment, creating models & mechanisms for AI, and the availability of limited structured training data. Underlying opportunities in the AI (chipsets) market include increasing focus on developing human-aware AI systems and bringing AI to edge devices.
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Asia pacific plant management
The machine learning technology is expected to account for the largest size of the AI (chipsets) market during the forecast period. Machine learning’s ability to collect & handle big data & its applications in real-time speech translation, autonomous robots, and facial analysis are fuelling its growth. AI constitutes various technologies that play a vital role in developing its ecosystem. As AI enables machines to perform activities similar to those performed by human beings, enormous market opportunities have opened up. The predictive maintenance and machinery inspection application in the manufacturing industry of the AI (chipsets) market is projected to hold the largest share during the forecast period. The predictive maintenance and machinery inspection application held the largest share among the manufacturing applications of the AI (chipsets) market in 2019. Extensive use of computer vision cameras in machinery inspection, adoption of the Industrial Internet of Things (IIoT), and use of big data in the anufacturing industry are the factors driving the growth of the predictive maintenance and machinery inspection application. The increasing demand for
