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Adoption rate in business of AI worldwide and selected countries 2022

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www.statista.com2024-09-16 更新2025-01-21 收录
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Combined, China had the highest rate of exploring and deploying artificial intelligence (AI) globally in 2022. It was followed closely by India and Singapore. This lead was also marked when accounting only for the deployment of AI in organizations in China, with India following. Both nations had a nearly 60 percent deployment rate. When accounting only for exploration, however, the leading nations were Canada and the United States. AI in Europe on the rise Europe contains an exceptionally vibrant technology sector. This is particularly true in the field of AI, where funding for startups specializing in this high-demand technology stood at more than 1.4 billion U.S. dollars in late 2022. Many of Europe’s major economies are leaders in the exploration and deployment of AI and are ahead of the global curve. Opportunities for early adopters Those businesses that begin using AI early will find it easier to reap the benefits. The most desirable effect, or at least the one that directly affects most businesses, is a revenue increase as it underpins the whole of their business model. The most important benefit of AI usage in enterprises is in supply chain management and human resources. Major improvements to supply chains provide a major boost to revenue by using AI to map out idiosyncrasies and problematic stops. When it comes to human resources, the use of AI can drastically reduce time in hiring cycles by enabling AI-driven algorithms to select those candidates whose resume most aligns with the job requirements.

综合来看,中国在2022年全球范围内的人工智能(AI)探索与部署率位居首位。紧随其后的是印度和新加坡。即使在仅考虑中国组织中AI部署的情况下,这一领先地位依然明显,印度紧随其后。这两个国家的部署率接近60%。然而,在仅考虑探索阶段时,领先的则是加拿大和美国。欧洲的AI崛起:欧洲科技行业尤为活跃,尤其在人工智能领域,该领域初创企业的融资额在2022年底已超过14亿美元。欧洲的许多主要经济体在AI的探索与部署方面处于领先地位,并领先于全球趋势。早期采用者的机遇:那些早期开始使用AI的企业将发现,从中获益更为容易。最理想的效果,至少对大多数企业而言,是通过支持其整个商业模式而带来的收入增长。在企业管理中,AI的使用最重要的益处体现在供应链管理和人力资源管理。通过AI绘制出供应链的个性化和问题点,大幅改进供应链,从而显著提升收入。在人力资源管理方面,AI的应用可通过驱动算法选择与职位要求最匹配的候选人,极大地减少招聘周期所需的时间。
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