Global artificial intelligence (AI) software revenue is expected to total US $ 62.5 billion in 2022, according to a new forecast from Gartner. This is compared to US $ 51.5 billion in 2021, an increase of 21.3% in total.
The AI software market encompasses applications incorporating AI, such as computer vision software, as well as software used to create AI systems.
Gartner’s AI software forecast is based on use cases, measuring potential business value, timing of business value, and risk to project use case growth.
Gartner predicts that the top five use case categories for AI software spending in 2022 will be knowledge management, virtual assistants, autonomous vehicles, digital workplace, and data crowdsourcing.
Among these categories, knowledge management saw the strongest growth, followed by autonomous vehicles and digital workplaces.
- Knowledge management revenue was US $ 5.5 million in 2021 compared to US $ 7.2 million in 2022, growing 31.5%
- Virtual assistants revenue was US $ 6.2 million in 2021 compared to US $ 7.1 million in 2022, growing 14.7%
- Autonomous vehicle revenue amounted to US $ 5.7 million in 2021 compared to US $ 6.8 million in 2022, with growth of 20.1%
- Digital Workspaces revenue was US $ 3.6 million in 2021 compared to US $ 4.3 million in 2022, growing by 20%
- Crowdsourced data revenue was US $ 3.5 million in 2021 compared to US $ 4.2 million in 2022, growing 19.8%
Alys Woodward, Senior Director of Research at Gartner, said, “The market for AI software is accelerating, but its long-term trajectory will depend on how companies advance the maturity of AI. “
Woodward says, “Successful AI business results will depend on careful selection of use cases. Use cases that deliver significant business value, but can be scaled to reduce risk, are critical in demonstrating the impact of investing in AI to business stakeholders.
The demand for AI technologies and the associated market growth are closely related to organizational demands.
Gartner finds companies continue to show strong interest in AI, with 48% of CIOs in the 2022 Gartner CIO and Technology Executive Survey responding that they have already deployed or plan to deploy AI and learning technologies. automatic over the next 12 months.
However, the reality of deploying AI is much more limited, analysts say.
Gartner research has found that organizations are currently experimenting with AI but are struggling to integrate the technology into their standard operations.
Gartner predicts that it will be until 2025 for half of the organizations in the world to reach what Gartner’s AI maturity model describes as the “stabilization stage” of AI maturity or beyond.
Advances in AI maturity will increase AI software revenue due to increased spending, especially in the category of data and analytics technologies.
A delay in maturity, caused by reluctance to adopt AI, lack of confidence in AI, and difficulties in generating business value from AI, will have a corresponding decelerating effect on spending and revenue. revenues, analysts said.