It’s predicted that the worldwide artificial intelligence (AI) market size will grow nine-fold from $150.2 billion (roughly 200 trillion won) in 2023 to $1.3452 trillion (roughly 1,800 trillion won) in 2030. It is anticipated that vision AI, which is in step with existing industries, will drive the market during this era.
Research specialist Market & Market predicted on the twentieth (local time) that the worldwide AI market will grow at a median annual growth rate of 36.8% by 2030.
This report divided the technology roadmap until 2030 into three stages.
To start with, major trends for 2023 to 2025 include ▲the emergence and development of generative AI for content production ▲adoption of federated learning for private information protection ▲development of explainable AI ▲activation of edge AI.
Also, from 2025 to 2028, the main target was on ▲advancement of generative AI ▲advancement of federated learning ▲advancement of explainable AI ▲advancement of edge AI, etc., and from 2028 to 2030 ▲emergence of human-level sophisticated generative AI ▲extensive adoption of federated learning ▲ It was organized into the introduction of explainable AI across all industries and the generalization of advanced edge AI able to autonomous, real-time intelligence.
Amongst these, federated learning refers to a technology through which multiple local clients and one central server cooperate to learn a worldwide model in a situation where data is decentralized. This has the advantage of knowledge security and efficiency, and is linked to edge AI.
The business model of the AI market was also divided into ▲AI software-as-a-service (SaaS) providers ▲AI platform providers ▲AI licensing and mental property rights vendors ▲AI technology consulting ▲AI management consulting vendors ▲AI research and development providers. Amongst these, it’s noteworthy that firms that specialise in generating profits by utilizing mental property rights are expected to change into energetic.
Overall, 'Autonomous AI', or AI agents, were cited as a vital driver for expanding the AI market by 2030. This was seen as a key factor that can optimize corporate operations and reduce industrial costs.
However, it was analyzed that data availability and poor quality can be a serious obstacle. In other words, should you wouldn’t have access to comprehensive and diverse data, or if inaccurate or biased data is used for learning, AI performance will inevitably deteriorate significantly.
The info collection and processing work for this purpose was expected to be an enormous burden for organizations with limited resources. He also emphasized the importance of creating industry standards for data quality and knowledge protection.
Nevertheless, because the variety of industries adopting AI expands, the expansion of digital data generated from various sources is claimed to be the largest opportunity for AI development. The challenge was to allay concerns about inaccurate or biased output.
The AI ecosystem consists of ▲Hardware and devices (NVIDIA, Intel, Samsung, etc.) ▲Network (Cisco, HPE, Huawei, etc.) ▲Software (Microsoft, Salesforce, SAP, etc.) ▲Security (McAfee, Palo Alto, etc.) ▲Platform (AWS) , Google, Meta, etc.) ▲Services (Deloitte, Accenture, PWC, etc.) ▲Clouds (AWS, MS, Google, etc.).
Vision AI, not generative AI, was chosen as the sector that can record the very best growth rate within the AI market by 2030. The explanation given was that it could have a direct impact on current industries akin to autonomous driving, security, and safety.
By region, North America is anticipated to be the biggest market during this era.
Market & Market said, “AI is revolutionizing several industries and is establishing itself as a key driver of latest technologies akin to big data evaluation, robotics, and the Web of Things (IoT),” adding, “The emergence of ChatGPT and AI image creation tools is “It highlighted the importance of AI.”
He also concluded, “With continued development, the AI industry will drive development in the longer term and establish itself as a robust technological innovator.”
Reporter Lim Da-jun ydj@aitimes.com