1.8 Billion Heterogenous AI Chipsets by 2030, 129 Million RISC-V AI Shipments by 2030 and 36 Other Transformative Technology Stats You Need to Know

The technology community – both innovators and implementers – is at a critical juncture in 2024. Global market pressures are starting to ease, but persistent geopolitical threats are hindering progress. As a result, companies are under pressure to make the right near-term decisions to drive positive impact and ROI within their organizations.

In its new whitepaper, 38 Transformative Technology Stats You Need to Know for 2024, global technology intelligence firm ABI Research identifies key forecasts to help companies and organizations make winning, informed decisions that impact the near term to seize market shifts, choose the best technologies and partners, achieve quick wins, meet robust ROI requirements, and use technology for aggressive growth or to safeguard against geopolitical shocks.

“This paper provides a selection of forecasts from ABI Research that can help companies and organizations make contextual decisions with the benefit of rigorously produced hard data. The rapid rise of heterogenous AI chipsets, huge growth in RISC-V AI shipments, and a big bet on generative AI in financial services, retail, and e-commerce are just some of the many changes on the horizon of which companies and organizations must be aware to make mid-course corrections or complete roadmaps,” Stuart Carlaw, Chief Research Officer at ABI Research explains.

Some stats highlighted in the whitepaper include:

Shipments of heterogenous AI chipsets at the edge will reach more than 1.8 billion by 2030.

“The penetration of heterogenous Artificial Intelligence (AI) systems into overall shipments increases at an accelerating rate between 2025 and 2028 as the proliferation of generative AI picks up and the software ecosystem matures. During this interval, smartphone penetration more than triples from 23%,” explains ABI Research Senior Analyst Reece Hayden, Senior Analyst at ABI Research. 

ABI Industry Analyst Paul Schell adds, “Total edge AI RISC-V shipment forecasts (excluding TinyML) begin in 2023, with RISC-V’s penetration into AI workloads only just beginning. Growth is steady throughout the rest of the decade, reaching more than 129 million by 2030. A key driver is edge AI gateways, the bulk of which target consumer applications using home sensors, as well as those found on manufacturing floors.”

Financial services and retail & e-commerce will create a value of nearly US$80 billion with generative AI.

According to Hayden, “The year 2024 will see the conversion of enterprise Proofs-of-Concept (PoCs) into tangible generative Artificial Intelligence (AI) deployments with ma­turity coming by 2026. This will translate into significant value created for most enterprise verticals. The financial services and retail verticals have much to gain from generative AI deployments, with plenty of low-hanging use cases across chatbots, trend analysis, fraud protection, website development, marketing, and personalized experiences. This will translate into huge opportunities to drive additional revenue from new/existing customers and save operational costs.”

“Our unique, deep, comprehensive, relevant, and timely forecasts provide our clients with the tools to make better decisions when it matters most. We look forward to supporting our clients in 2024 as they outperform their competition,” Carlaw concludes.

Download the whitepaper, 38 Transformative Technology Stats You Need to Know for 2024, to learn more. You are welcome to share this link with your readers.