The ongoing global economic downturn continues to impact consumer confidence in the market. TrendForce reports that the global production volume of smartphones in 1Q23 was only 250 million units—marking a 19.5% YoY decrease. This represents not only the greatest annual decrease but also a historic low in quarterly production since 2014.

Samsung observed a slight surge in Q1 production thanks to the launch of its Galaxy S23 series, reaching 61.5 million units—a 5.5% QoQ rise. However, TrendForce predicts a nearly 10% drop in Q2 production due to weakening demand for new models. Apple faced a substantial 27.5% QoQ drop in smartphone production in Q1, delivering a total of 53.3 million units. The new iPhone 14 series accounted for approximately 78% of this figure, an improvement from the same period last year. Nonetheless, as the company navigates the transition period between model launches, a projected decrease of 20% is expected in Q2.

In light of unsatisfactory market conditions and necessary inventory adjustments, brands such as Oppo (which includes Oppo, Realme, and OnePlus) made strategic moves to reduce production in Q1 to 26.8 million units, a 17% QoQ decrease. However, TrendForce forecasts a more than 30% rise in Q2 production, attributed to successful inventory management and a moderate demand resurgence in Southeast Asia and other regions. It’s worth mentioning that, in addition to continuously strengthening its market share of high-end models in China, Oppo has achieved notable sales success in South Asia, Southeast Asia, and Latin America. In fact, its overseas market accounts for nearly 60% of its total sales.

In the first quarter, Xiaomi (which includes Xiaomi, Redmi, POCO) saw its production volume dip to 26.5 million units—a 27.4% quarterly decrease. This decline can largely be attributed to a global dip in consumer confidence and an overstocked inventory of finished products at Xiaomi, leading to restrained production plans. Due to ongoing inventory adjustments set for the second quarter, quarterly production growth is projected to be capped, with a modest estimated increase of around 20%. Concurrently, Vivo (including Vivo, iQoo) reported a production volume of 20 million units for the first quarter—a 14.2% quarterly decrease. While China continues to be the primary market for Vivo’s sales, Q2 demand continues to remain stagnant in the Chinese market, following the reopening of its borders. As a result, the quarterly production volume is anticipated to show a modest increase of around 10%.

The continuous economic slump has led to increased activity in the used phone and repair markets, which could potentially hinder Q2 smartphone production growth. Notwithstanding, Q2 production is forecasted to reach 260 million units, demonstrating a QoQ increase of around 5%. However, due to the unfavorable economic environment, TrendForce forecasts that smartphone production will still fall by 10% when compared to the same period last year.

Apple’s latest MR device, the “Vision Pro,” utilizes Micro OLED technology. This technology, along with Micro LED, is considered the next generation of display technology. So what are the differences between Micro OLED and Micro LED, and which one is better suited for AR/VR/MR devices?

According to market research firm TrendForce, ideal smart glasses must meet three major criteria. Firstly, to minimize the burden of wearing glasses, the display engine’s size should be below 1 inch. Secondly, in terms of content recognition requirements, the display brightness specification should reach at least 4,000 nits to ensure immunity to external factors such as weather or venue conditions. Lastly, the resolution should be at least 3,000 PPI to ensure clear projection and magnification.

Currently, Micro LED and Micro OLED are the primary technologies that meet these requirements. However, Micro LED is still in the early stages of AR technology development and faces several challenges that need to be overcome. Therefore, Micro OLED is currently the mainstream technology in the field.

Micro OLED technology enables full-color capabilities and has become the preferred choice for AR/VR manufacturers. According to TrendForce’s comparison of display engines, Micro LED outperforms Micro OLED in pixel size, luminous efficiency, and brightness. It appears to be the most suitable for AR glasses based on specifications. However, Micro LED is currently limited to a single green color, while Micro OLED can achieve full color. As a result, Micro OLED has a competitive advantage in AR/VR devices.

In terms of manufacturers, Sony remains the main supplier for Micro OLED technology. Due to their longer investment time and technological advantages, South Korean manufacturers Samsung and LG Display (LGD) are expected to join Apple’s MR supply chain in 2024.

Last year, reports suggested that Samsung initially considered Micro OLED a niche market and lagged behind its competitor, LGD. However, due to demands from Apple, Meta, and Samsung’s parent company, they began developing Micro OLED in the third quarter of last year. The latest news reveals that Samsung will acquire American Micro OLED display manufacturer eMagin for a price of $218 million.

Meanwhile, Meta will also collaborate with South Korean semiconductor giants SK hynix and LGD to develop Micro OLED panels for Meta XR (Extended Reality) devices. This partnership is expected to lead to more Micro OLED applications in AR/VR in the future.

Micro LED technology is still facing bottlenecks, but it has the potential to surpass Micro OLED in the medium to long term. TrendForce states that Micro LED AR glasses, due to the bottleneck in achieving full colorization, primarily display monochromatic information such as informational prompts, navigation, translation, and note-taking functions. Achieving higher resolutions requires chip miniaturization, reducing the size of Micro LED to 5 micrometers. In this situation, epitaxial processes are affected by wavelength uniformity issues, which impact yield. Additionally, smaller chips raise concerns about the external quantum efficiency (EQE) of red chips.

Overall, although Micro LED faces many challenges in AR glasses, it still outperforms Micro OLED in contrast, responsiveness, lifespan, power consumption, and other specifications. Considering the limitations of waveguide component technology in transparent AR glasses, which restricts optical efficiency from exceeding 1%, Micro LED remains an excellent choice in the medium to long term.

Therefore, if Apple wants to introduce Micro LED technology, it plans to start with the Apple Watch. However, the project’s launch has been delayed from 2024 to a later date, possibly beyond 2025, due to technological bottlenecks. In fact, over the past decade, Apple has invested significant funds in collaboration with ams Osram to develop Micro LED components. Once the technology is ready for mass production, Apple is likely to take charge of the critical “mass transfer” process, which may be carried out at its secret research and development center in Longtan, Taoyuan.

It’s worth noting that in addition to Micro LED, the Longtan research and development center is also where Apple collaborates with TSMC on Micro OLED technology for MR devices.

(Photo credit: Apple)

TrendForce reports that the recently unveiled Apple Vision Pro at this year’s WWDC is poised to revolutionize the AR/VR market with its sleek design and high-performance capabilities. However, the complexity behind its production and its limited production capacity present significant challenges, leading to a projected initial release in the US during 1H24. Furthermore, considering factors such as pricing and the absence of certain essential features, TrendForce anticipates a modest shipment volume of approximately 200,000 units for Apple Vision Pro in 2024. The market’s response will heavily depend on the subsequent introduction of consumer-oriented Apple Vision models and the ability of Apple to offer enticing everyday functionalities that will drive the rapid growth of the AR market as a whole.

TrendForce also notes that the Apple Vision Pro boasts cutting-edge hardware specifications and innovative design. However, a substantial price tag of US$3,499 and the requirement for an external power source to operate for a mere two hours pose challenges to consumer adoption. Currently, the Apple Vision Pro lacks sufficient applications for mainstream users, making it more attractive to developers and enterprise customers who can capitalize on its innovative features to create diverse applications. Consequently, the higher price point of the product is justified.

Looking ahead, Apple has the opportunity to fine-tune the product specifications based on the usage patterns of various features in Vision Pro. This will pave the way for the launch of a distinct offering, Apple Vision, which will cater to the budgetary constraints of general consumers while optimizing battery life. As such, WWDC 2023 primarily focuses on the concept of spatial computing, setting the stage for the anticipation of more practical AR applications to be showcased at WWDC 2024. These applications will be tailored towards usage in daily life, including seamless integration with other Apple products for information retrieval and effortless command execution.

Will AIGC Bring New Development Boost to MR?

According to TrendForce, it is difficult to see AIGC exerting influence in the MR field in the short term due to the need for corresponding AI models and tools to be established. Currently, the AR/VR market is not large, and coupled with the complexity of content development, it is challenging to attract AIGC’s development in this area in the short term.

Furthermore, the complexity and cost of entry into the MR field, along with limited market size, have caused many brand manufacturers to focus on small-scale commercial products. This is because such products have a high unit price and low quantity, allowing manufacturers to control the total cost within a manageable range while capitalizing on the AR/VR industry trend. However, it does not mean that manufacturers are willing to heavily invest in this market.

Overall, this is the biggest difference in strategy between Apple and these manufacturers. Apple indeed wants to aggressively develop the AR market, but the lack of market understanding and content applications led to the introduction of developer products like Vision Pro. The purpose is twofold: to allow developers to advance in content application development and to gather feedback on hardware design and features used by developers. This feedback helps Apple determine which hardware design and features to retain or discard when launching new consumer products that closely align with content application needs.

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.

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