ABI Research Forecasts Almost One Million Businesses Worldwide Will Adopt AI Technologies by 2022

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Artificial Intelligence Accelerates in Enterprises, But Is Not the Ideal Solution for All
20 Jun 2017

ABI Research predicts the number of businesses adopting artificial intelligence (AI) technologies worldwide will grow considerably, up from 7,000 this year to nearly 900,000 in 2022, a CAGR of 162%. AI is no longer limited to science fiction and movies, with significant strides being made in cloud processing, storage capacity, and machine learning algorithms to enable computer systems to surpass humans in winning strategy games and television shows. Increasingly, businesses are applying these technological advancements to deliver automation and innovation that equal or exceed human capabilities.

“Even though nearly one million businesses will adopt AI by 2022, it will not be a great fit for every company,” says Jeff Orr, Research Director at ABI Research. “Many businesses will have to adapt their corporate governance policies to deal with the lack of a guaranteed outcome when implementing machine learning. While most enterprises start using machine learning to analyze their existing business for insights, the technologies have far-reaching application in specific industries, ranging from reduction of false positives in fraud detection to powering conversational interfaces for chatbots and virtual assistants.”

While some of the world’s largest and innovative enterprises, such as Amazon, American Express, Citrix, Coca Cola, Facebook, Google, Netflix, PayPal, and Uber, already deploy projects powered by machine learning, ABI Research finds that not all will benefit. Organizations that are comfortable with uncertainty in outcomes and measuring changes in key performance indicators (KPIs) will find the most to gain from enacting machine learning projects. On the other hand, companies that focus only on ROI timetables will find emerging technologies, including machine learning, cybersecurity, and IoT, to be frustrating to implement and difficult to measure.

Several SaaS solutions are available for machine learning and businesses looking to experiment will have many vendors to choose from. Best practices include starting off with a pilot project and requesting case studies about enterprises that have already gone through their first operational deployment. “It is the companies that choose to ignore AI entirely that will quickly find themselves at a competitive disadvantage,” concludes Orr.

These findings are from ABI Research’s AI in the Enterprise: Machine Learning report.

About ABI Research

ABI Research is a global technology intelligence firm uniquely positioned at the intersection of technology solution providers and end-market companies. We serve as the bridge that seamlessly connects these two segments by providing exclusive research and expert guidance to drive successful technology implementations and deliver strategies proven to attract and retain customers.

ABI Research 是一家全球性的技术情报公司,拥有得天独厚的优势,充当终端市场公司和技术解决方案提供商之间的桥梁,通过提供独家研究和专业性指导,推动成功的技术实施和提供经证明可吸引和留住客户的战略,无缝连接这两大主体。

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