Artificial Intelligence Seeing Massive Surge in Education

AI software and supporting hardware systems are seeing explosive growth and will continue to do so at least through 2022, with most of it happening in the United States, according to a new artificial intelligence market analysis by IDC.

IDC reported that worldwide spending on AI is seeing 44 percent growth this year over 2018 and is expected to hit $35.8 billion by the end of 2019. That figure is expected to hit $79.2 billion in 2022. The United States will account for approximately two-thirds of total AI spending.

While the education sector won't crack the top 5 in terms of total spending in the forecast period, it is expected to see some of the biggest growth as a percentage — 42.9 percent compound annual growth — compared with an overall average of 38 percent over the forecast period.

Education will experience the third-largest growth of any sector, coming in slightly behind government (44.3 percent) and "personal and consumer services" (43.3 percent).

The top use cases for AI at present, based on current market share, are:

  1. Automated customer service agents (12.5 percent);
  2. Sales process recommendation and automation (7.6 percent);
  3. Automated threat intelligence and prevention systems (7.5 percent);
  4. Program advisors and recommendation systems (6.4 percent); and
  5. Automated preventative maintenance, diagnosis and treatment systems (6.2 percent).

Other popular use cases includes fraud analysis and investigation and intelligent process automation, both of which will see spending above $2 billion in 2019.

Uses for AI are, however, extremely diverse. The "other" category accounted for 59.8 percent of use cases.

According to IDC, there have been challenges to implementing AI, but the benefits seem to be outweighing those challenges.

"IDC is seeing that spending on both AI software platforms and AI applications are continuing to trend upwards and the types and varieties of use cases are also expanding," said David Schubmehl, research director, Cognitive/Artificial Intelligence Systems at IDC, in a prepared statement. "While organizations see continuing challenges with staffing, data and other issues deploying AI solutions, they are finding that they can help to significantly improve the bottom line of their enterprises by reducing costs, improving revenue, and providing better, faster access to information thereby improving decision making."

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • tool icons with variety of business icons

    SETDA Releases Free EdTech Quality Action Toolkit

    The State Educational Technology Directors Association (SETDA) has put together a free K-12 EdTech Quality Action Toolkit that provides a framework for evaluating education technology products as well as guidance on regulatory compliance, templates for communicating with vendors, training resources, and more.

  • Young child

    When Technology Serves Learning, Not the Other Way Around

    A reflection on designing learning experiences where technology supports instruction rather than defines it.

  • abstract colored blocks

    OpenAI Letting Go of Sora Short-Form AI Video Platform

    OpenAI is reportedly getting rid of Sora, its generative AI model that creates short video clips from text prompts, images, or existing video inputs. The move upends the company's December partnership with The Walt Disney Company.

  • abstract generative AI technology

    Apple and Google Announce AI Deal to Bring Gemini Models to Siri

    Apple and Google have embarked on a multiyear partnership that will put Google's Gemini models and cloud technology at the core of the next generation of Apple Foundation Models, a move that could help Apple accelerate long-promised upgrades to Siri while handing Google a high-profile distribution win on the iPhone.