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AI is currently at its peak on a global basis as every sector is willing to use it for the advancements of their operations. The adoption of disruptive technologies is growing globally and countries like the US, Japan, and China are some of the biggest investors in AI enterprises. India is also in a top position when it comes to its adaptation of AI technology in various industries. Here are the top 10 global AI adopters that are moving forward with Artificial Intelligence in 2022.
The United States has decided to promote Federal investment in AI R&D in collaboration with industry, academia, international partners and allies, and other non-Federal entities to generate technological breakthroughs in Artificial Intelligence. President Trump called for a 2-year doubling of non-defense AI R&D in his fiscal year (FY) 2021 budget proposal, and in 2019 the Administration updated its AI R&D strategic plan, developed the first progress report describing the impact of Federal R&D investments, and published the first-ever reporting of government-wide non-defense AI R&D spending. The United States is adamant about enhancing access to high-quality Federal data, models, and computing resources to increase their value for AI R&D while maintaining and extending safety, security, privacy, and confidentiality protections.
AI adoption is expected to grow up to 32% in Germany by the next two years. It is planning to invest €3 billion in AI research between now and 2025 to help implement its national AI strategy "AI Made in Germany". Like many countries, Germany hopes that adopting Artificial Intelligence will expand its broader economy and improve the competitiveness of its existing industries.
In the UK, the rates of artificial intelligence (AI) adoption by UK businesses are expected to reach 22.7% of companies by 2025, with a third of UK businesses expecting to have at least one AI tool by 2040, according to research commissioned by the Department for Digital, Culture, Media, and Sport (DCMS). According to research, Approximately 40% of businesses developed AI tools in-house, while 40% of firms purchased 'off-the-shelf' tools, and the remaining 20% outsourced the development of Artificial Intelligence to external providers.
So far one of the top Korean AI systems is called Exobrain. It was developed by the Electronics and Telecommunications Research Institute (ETRI). Exobrain a few years back beat two quiz champions as well as two collegians. One of them got a perfect score on Korea's national college entrance exam. Not only did Exobrain beat the human counterparts but crushed them by getting a score of 510. To take that into context, the next highest score was 360. Exobrain won the top prize of 25 million won. Big corporations like Naver, KT are investing in Artificial Intelligence adoption as well as in AI research by collaborating with top Korean universities.
China's high level of AI adoption and citizens' positive perception towards AI set it apart from other nations. China has the advantages of a massive data pool and a high level of adoption. The areas where China can improve are talent, hardware, and research quality. Whereas the US and EU get a lot of Artificial Intelligence talent from foreign countries, China is finding talent within its borders. Between 1998 and 2017 the US gained 1,283 foreign Artificial Intelligence, academic researchers, while China only gained 53. However, China has a larger population to work with, and it is a population that is becoming increasingly more educated. China is already working on more initiatives to increase AI-related education at the university level. In 2018, China's ministry of education announced a plan to promote AI education, and several top universities have already added AI departments and majors. Due to China's AI having a shorter history, AI researchers in China, on average, have less experience. 25% of Chinese AI workers have more than 10 years of experience compared to 50% of the US Artificial Intelligence workers. However, China has published the highest quantity of Artificial Intelligence research globally. Though Chinese papers are cited significantly less than US and EU papers, the quality of research has been increasing. Each year more and more AI papers globally cite Chinese research.
Japan's AI market is estimated to grow from JPY 3.7 trillion in 2015 to JPY 87 trillion by 2030. In 2015, AI solutions for the wholesale and retail sectors were valued at JPY 1.45 trillion or about 39 percent of the total market value, comprising the largest Artificial Intelligence sub-segment. By 2030, the transport sector (driverless taxis and trucks) is expected to grow to JPY 30.48 trillion. Including driverless cars (manufacturing sector), together these two sectors will have a market value of JPY 42.65 trillion or 49 percent of the total forecasted market value. Business opportunities for European companies include AI technologies and Artificial Intelligence solutions. The utilization of deep learning in Artificial Intelligence has not reached the mainstream in Japan. Therefore, this sub-segment will offer the potential for European companies as AI and robotics are prioritized in the government's growth strategy. The automobile industry in Japan will need deep-learning solutions to develop driverless cars. This constitutes another potential area for European companies that are able to offer attractive solutions for self-driving cars. A recent trend is that automakers like Toyota and Honda are lacking specialized personnel to develop the necessary technology for driverless cars. This further stresses the chances for Europe in this field.
Over the period between 2017 and 2030, the adoption of artificial intelligence (AI) is expected to increase the revenues of Italy's economy by nearly 570 billion euros. The sectors that will profit the most from the adoption of AI are the financial services industry and the retail sector.
In India, AI start-ups have attracted total funding of US$ 836.3 million in 2020. IT services and Technology sectors contribute to more than 60% of the Artificial Intelligence Market followed by BFSI, Engineering, and Retail. BFSI sector records the highest adoption (~20%) due to the increasing penetration of digital banking and cashless payments in India.
Only 9 percent of Australia's listed companies are making sustained investments in Artificial Intelligence, compared with more than 20 percent in the United States and nearly 14 percent in leading automation nations globally. 80% of Australian small and medium businesses are delaying the adoption of technology that could deliver long-term benefits.
France is a fertile ground for Artificial Intelligence. French companies acknowledge the potential of AI and are increasingly interested in its use. The willingness to invest is growing, as is the volume of AI projects. AI technologies are becoming more commonly adopted across all sectors, to automate and improve processes, optimize data analysis, and develop new corporate strategies. All signals are green for Artificial Intelligence to grow in France because the country has a globally recognized pull on Artificial Intelligence talent, led by French personalities in charge of AI labs at many tech giants, such as Google and Facebook. In addition to this, the French government is trying to take a leadership position by stimulating the adoption of AI in French sectors of excellence: the health and automotive industries. These are seen as markets that can benefit from early adoption, although all sectors can gain from exploring the possibilities in machine learning, computer vision, speech recognition, and automation.
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