![]() is likely to be heavily impacted by the adoption of AI. Together these bodies pose significant challenges to data-hungry AI companies.īoth in productivity and labor changes, the U.S. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. This challenge takes many forms for AI companies. Chatbots, image-generating AI, and mobile applications are all among the major trends that will enhance AI in the coming years.ĭata management remains the most difficult task of AI-related infrastructure. The rate of adoption and deployment of the technology is becoming more prolific worldwide. Indeed, the AI market covers a vast number of industries, including healthcare, education, finance, media and marketing. dollars in 2023 is expected to grow ninefold by 2030, reaching around 1.85 trillion U.S. Meanwhile, according to Next Move Strategy Consulting, its value of approximately 208 billion U.S. dollars in 20230, accounting for a compound annual growth rate of 17.3%. dollars in 2023 to almost 740 billion U.S. According to Statista data, the AI market size is projected to rise from 241.8 billion U.S. The market for artificial intelligence (AI) is expected to show significant growth in the coming decade, according to a variety of sources. Artificial Intelligence (AI) market size/revenue comparisons 2018-2030
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