Recently, there has been news of collaboration between NVIDIA and MediaTek. Speculation suggests that the future collaboration may extend to smartphone SoCs, allowing MediaTek to enhance the graphical computing and AI performance of Dimensity smartphone SoCs through NVIDIA’s GPU technology licensing.

Currently, the focus of this collaboration is primarily on NB SoC development, with some progress in the automotive-related chip sector. As for the scope of smartphone SoC collaboration, it is still under discussion, but the potential for related partnerships is worth noting.

In the announced collaboration between NVIDIA and MediaTek for the NB SoC products, MediaTek is mainly responsible for CPU, while other part such as GPU, DSP, ISP, and interface IP are provided by NVIDIA or external partners. NVIDIA holds the leadership position, while MediaTek plays a supporting role in this collaboration.

Regarding the industry’s speculation about possible collaboration in smartphone SoC development, it is estimated that MediaTek will take the lead in the design. Therefore, it is necessary to explore the motivations behind MediaTek’s adoption of related technologies.

Firstly, since the era of the Arm V9 instruction set, Arm’s reference GPU, Immortalis, has incorporated ray tracing functionality, assisting MediaTek’s flagship SoCs in improving gaming performance. This indicates that optimizing gaming scenarios is a key development focus for SoC manufacturers.

However, for high-end gaming applications, the current GPU performance of smartphone SoCs still cannot maintain high frame rates and native resolutions during gameplay. While selecting a pure core stacking approach to improve computational power is effective, it puts pressure on device power consumption. In light of this, Qualcomm introduced Snapdragon Game Super Resolution (GSR) technology this year, which simultaneously reduces power consumption and enhances game graphics quality. MediaTek has not yet explored this technology, and Arm Immortalis has not been released. Therefore, when it comes to GPU performance computing, MediaTek has incentives to seek external collaborations.

Furthermore, with the rapid upgrading of GPUs on smartphone SoCs, PC-level games are now being introduced to smartphones, and industry players are promoting compatibility with graphics APIs, opening doors for NVIDIA, AMD, and even Intel to enter the mobile gaming market. Samsung has partnered with AMD for its Exynos SoC GPU, while NVIDIA, with similar technology to Qualcomm Snapdragon GSR, becomes a logical choice as a cooperation partner for MediaTek.

TrendForce believes that if MediaTek integrates NVIDIA GPUs into Dimensity SoCs and leverages TSMC’s process power efficiency advantages, it could bring a new wave of excitement to MediaTek in the flagship or gaming device market, attracting consumer interest. However, despite the potential technical benefits of collaboration, considering the influence of geopolitical factors, MediaTek, which primarily sells its smartphone SoCs to Chinese customers, may ultimately abandon this collaboration option due to related policy risks.

The excitement surrounding ChatGPT has sparked a new era in generative AI. This fresh technological whirlwind is revolutionizing everything, from cloud-based AI servers all the way down to edge-computing in smartphones.

Given that generative AI has enormous potential to foster new applications and boost user productivity, smartphones have unsurprisingly become a crucial vehicle for AI tech. Even though the computational power of an end device isn’t on par with the cloud, it has the double benefit of reducing the overall cost of computation and protecting user privacy. This is primarily why smartphone OEMs started using AI chips to explore and implement new features a few years ago.

However, Oppo’s recent decision to shut down its chip design company, Zheku, casted some doubts on the future of smartphone OEMs’ self-developed chips, bringing the smartphone AI chip market into focus.

Pressing Needs to Speed Up AI Chips Iterations

The industry’s current approach to running generative AI models on end devices involves two-pronged approaches: software efforts focus on reducing the size of the models to lessen the burden and energy consumption of chips, while the hardware side is all about increasing computational power and optimizing energy use through process shrinkage and architectural upgrades.

IC design houses, like Qualcomm with its Snapdragon8 Gen.2, are now hurrying to develop SoC products that are capable of running these generative AI base models.
Here’s the tricky part though: models are constantly evolving at a pace far exceeding the SoC development cycle – with updates like GPT occurring every six months. This gap between hardware iterations and new AI model advancements might only get wider, making the rapid expansion of computational requirements the major pain point that hardware solution providers need to address.

Top-tier OEMs pioneering Add-on AI Accelerators

It’s clear that in this race for AI computational power, the past reliance on SoCs is being challenged. Top-tier smartphone OEMs are no longer merely depending on standard products from SoC suppliers. Instead, they’re aggressively adopting AI accelerator chips to fill the computational gap.

The approaches of integrating and add-on AI accelerator were first seen in 2017:

• Integrated: This strategy is represented by Huawei’s Kirin970 and Apple’s A11 Bionic, which incorporated an AI engine within SoC.
• Add-on: Initially implemented by Google Pixel 2, which used a custom Pixel Visual Core chip alongside Snapdragon 835. It wasn’t until the 2021 Pixel 6 series, which introduced Google’s self-developed Tensor SoC, that the acceleration unit was directly integrated into the Tensor.

Clearly, OEMs with self-developing SoC+ capabilities usually embed their models into AI accelerators at the design stage. This hardware-software synergy supplies the required computing power for specific AI scenarios.

New Strategic Models on the Rise

For OEMs without self-development capabilities, the hefty cost of SoC development keeps them reliant on chip manufacturers’ SoC iterations. Yet, they’re also applying new strategies within the supply chain to keep pace with swift changes.

Here’s the interesting part – brands are leveraging simpler specialized chips to boost AI-enabled applications, making standalone ICs like ISPs(Image Signal Processors) pivotal for new features of photography and display. Meanwhile, we’re also seeing potential advancements in the field of productivity tools – from voice assistants to photo editing – where the implementation of small-scale ASICs is seriously being considered to fulfill computational demands.

From Xiaomi’s collaboration with Altek and Vivo’s joint effort with Novatek to develop ISPs, the future looks bright for ASIC development, opening up opportunities for small-scale IC design and IP service providers.

Responding to the trend, SoC leader MediaTek is embracing an open 5G architecture strategy for market expansion through licensing and custom services. However, there’s speculation about OEMs possibly replacing MediaTek’s standard IP with self-developed ones for deeper product differentiation.

Looking at this, it’s clear that the battle of AI chips continues with no winning strategy for speeding up smartphone AI chip product iteration.

Considering the substantial resources required for chip development and the saturation of the smartphone market, maintaining chip-related strategies adds a layer of uncertainty for OEMs.With Oppo’s move to discontinue its chip R&D, other brands like Vivo and Xiaomi are likely reconsidering their game plans. The future, therefore, warrants close watch.

Read more:

AI Sparks a Revolution Up In the Cloud

Due to geopolitical and pandemic, Apple has been accelerating the diversification of its supply sources, with India being the most well-known case for such transfer. According to TrendForce, India’s Tata Group is expected to become the fourth iPhone assembler for Apple. Following Apple’s pattern, new suppliers receive smaller orders for lower-end models, which means Tata Group will initially get only small orders for the iPhone 15 and iPhone 15 Plus.

TrendForce thinks the small order has 3 implications in Apple’s relocation plan:

First, Tata, the largest conglomerate in India, has received orders for iPhone 15 and iPhone 15 Plus, indicating that India will become the first wave of shipments for new iPhone series.

Second, the reason why Tata is able to produce iPhone is due to the acquisition of Wistron’s Indian production line. Therefore, Tata’s entry also means Wistron’s exit from the iPhone assembly business.

Last, Tata is the fourth company to undertake iPhone assembly business after Luxshare joined in 2020 for iPhone 12 Pro Max assembly.

TrendForce emphasized that although Tata’s share of assembly orders for various iPhone models is only 5% in 2023, it still shows an accelerating trend of Apple’s production relocation.

As smartphones have entered a mature phase, the pace of innovation has slowed down. Additionally, the hardware and software of smartphones have reached a certain level, leading to longer lifespans and indirectly causing longer replacement cycles. On the other hand, to boost sales, brands and retailers have opened up old-for-new exchange programs, which has helped stabilize the growing market for second-hand and refurbished phones. Furthermore, the recent global economic downturn and consumer spending constraints have further driven the growth of this market.

The second-hand and refurbished phone market has been gradually strengthening, even eroding the performance of the new smartphone market. According to MediaTek, a major mobile chipmaker, the total volume of the iPhone second-hand and refurbished market is estimated to be around 50 million to 100 million units annually.

TrendForce estimates that the sales volume of this second-hand and refurbished market will be between 150 million to 200 million units this year, accounting for approximately 10-15% of the overall handset sales.

Looking ahead to 2024, due to the global economic situation not being overly optimistic, as well as the increased demand for smartphones in emerging regions, the market is expected to continue to contribute to growth. We estimate that the second-hand and refurbished market will reach a sales performance of over 200 million units in 2024.

On the other hand, the second-hand and refurbished market is still mainly dominated by high-end phones from Apple and non-Apple brands with higher resale value. Among them, Apple accounts for about 50% of the market, followed by Samsung.

Due to weak demand in the mobile phone market, the decline in prices of mobile phone panels, especially AMOLED panels, has accelerated this year. Under overcapacity pressure, the price decline has exceeded expectations.

According to our survey, some brands actively introduced Ramless DDI flexible AMOLED panels in the second half of last year, trying to narrow the price gap with rigid AMOLED panels and increase usage rates through DDI cost optimization. However, the inventory level of flexible AMOLED panels with Ram is high, and the price decline has also accelerated, while also narrowing the price gap with rigid AMOLED panels.

The current prices update:

• Rigid AMOLED panels are around USD 18-20.
• Flexible AMOLED panels with Ram are priced at around USD 25 or even lower, which is a significant drop from the average of USD 30 or more last year.
• The above price reduction of flexible AMOLED panels with Ram has led to a price reduction of Ramless DDI flexible AMOLED panels, which are currently priced at around USD 20-22.

The significant price reduction of flexible AMOLED panels with Ram has dimmed the cost advantage of Ramless DDI flexible AMOLED panels, and currently only Xiaomi has adopted them. Other first-tier brand customers remain cautious.

In addition, due to the momentum of flexible AMOLED panel price declines, whether the price of rigid AMOLED panels will follow suit has become a challenge for SDC. We believe that SDC should follow the price reduction strategy and may even approach the level of USD 15 in the second half of the year after abandoning the USD 20 threshold.

However, there are two reasons why we believe SDC may find it difficult to reverse the current situation even with a price reduction strategy. These reasons include:

• Weak overall smartphone demand this year.
• Chinese brand customers will gradually adjust their procurement strategy to focus on domestic panel factories. For SDC, how to dispose of rigid AMOLED panel capacity in the medium to long term will be a major issue.

Due to the sustained pressure on AMOLED panel prices, LTPS LCD panel prices are also forced to continue to decline, and it is expected that prices will continue to drop from the current range of USD 10-15 and may even fall below USD 10.

On the other hand, because LTPS LCD prices have approached a-Si LCD panel prices, it has aroused the interest of some brand customers. Under the overall weak market conditions, adopting low-cost LTPS LCD specifications may help improve revenue performance or stimulate demand by upgrading from HD to FHD specifications at the same price.