Sopra Steria Next, the consulting division of the Sopra Steria Group, has launched a ground-breaking study on the future of the Artificial Intelligence (AI) market, which predicts that its value will double to $1.27 trillion by 2028. The report not only presents growth estimates, but also proposes a novel analysis methodology based on four AI archetypes: applied to machines, processes, humans and software, offering a clear strategy to guide investments in this expanding technology.
Alicia Calvo, Director of Sopra Steria Next in Spain, underlines the importance of this approach: “With these four archetypes we offer a strategic perspective that helps companies navigate the complex ecosystem of Artificial Intelligence, optimizing their investments and avoiding blind spots in their technological adoption.“, he said.
The AI market
The Sopra Steria Next report reveals that the global AI market, valued at $540 billion in 2023 (equivalent to 6% of the IT market), will reach $1.27 trillion by 2028, representing 10% of the technology sector. This 19% annual growth, which is three times the rate of the IT market as a whole, is due to advances in the four identified archetypes of this technology.
In the industrial field, AI will enable factories and supply chains to operate more intelligently thanks to technologies such as 5G/6G and digital twins. The value of this archetype will reach $330 billion by 2028, with an annual growth of 13%.
- Process AI will optimize business management, especially in finance and utilities, with projected growth of 18% annually, reaching $390 billion. This type of AI will be driven by integrated automation platforms that detect anomalies and fraud.
AI will grow from $540 billion in 2023 to $1.27 trillion five years later
- As for AI for humans, tools such as virtual and generative assistants will help improve productivity in sectors such as finance and healthcare. This archetype is expected to grow to $380 billion, representing 30% of the AI market by 2028.
- AI for software, which includes tools for code development, is set to triple to $170 billion, thanks to increased interest in low-code applications and improved developer efficiency.
A strategic management tool
The study also highlights how this methodology is positioned as a strategic tool for guiding investments, facilitating the identification of use cases in different sectors such as finance, health and manufacturing. In addition, Sopra Steria Next identifies the top ten uses of AI that will be prioritized from 2024 onwards in various industries.
Ultimately, the key challenge, according to Sopra Steria Next CEO Fabrice Asvazadourian, is to scale AI beyond the development of algorithms, and to achieve this, it is necessary to address the maturity of use cases, modernize data platforms, integrate new algorithms into industrial processes, and train talent in AI. To do so, the company has developed a comprehensive approach that allows companies to gradually advance their adoption of AI.
