TI (Texas Instruments) and ADI (Adno Semiconductor) as the global analog chip field, each has its competitive advantages, but from the perspective of market share, product layout and strategic direction, TI is still firmly in the "analog chip king" throne, while ADI through mergers and acquisitions and focus on high-growth areas continue to narrow the gap. Here's a breakdown from DeepSeek:

1. Market share and industry position
    TI: has long occupied the first position in the global analog chip market. In 2019, its analog chip sales reached $10.2 billion, with a market share of 19%, far exceeding the second place Analog Devices' $5.2 billion (10%). Although TI's revenue declined for two consecutive years in 2024, its size is still ahead of its peers.
    DI: Expanded its business scope through strategies such as the acquisition of Maxim Integrated (2020), further consolidating its position as number two in the industry. After the acquisition, ADI's competitiveness in the automotive, industrial and other sectors has been significantly enhanced.

2. Product layout and terminal market
    TI: The product line covers more than 100,000 products, 75% of the products can be applied to multiple end markets, and the customer is more dispersed. Its core revenue comes from industrial (62%) and automotive (21%), with key positions in areas such as power management and sensor interfaces for electric vehicles.
    ADI: Focused on high-end customization solutions, industrial segment revenue accounted for 71%, automotive accounted for 16%. Through the acquisition of Mexin, its autonomous driving and 5G-related chip technologies have been supplemented, but the product diversity is slightly less than TI.

3. Manufacturing and cost control
    TI: Adopting a vertical integration model, 80% of its wafers are produced independently, and it plans to increase the proportion of 300mm wafers to 75% in the future. This model enhances supply chain stability and reduces costs.
    ADI: Relies more on foundries (such as TSMC), with only 45% of manufacturing done in-house. Although the capital expenditure is light, the optimization ability is weak.

4. Financials and recent performance
    TI: 2024 revenue fell 10.7% year-on-year, gross margin fell below 60%, and net profit hit a six-year low. Despite the pressure on performance, its research and development investment continues to increase, showing confidence in long-term technology accumulation.
    DI: The Q4 financial report for 2024 showed that demand in various end markets (industrial, automotive, consumer electronics) increased quarter-on-quarter, and consumer electronics revenue unexpectedly increased by 30%, releasing a recovery signal. Through acquisitions and focusing on AI-driven automotive and industrial demand, it is likely to benefit from the industry's recovery more quickly.

5. Focus of future competition
    Automotive and Industrial: TI has a higher market share in electric vehicle chips, while ADI is accelerating its layout in the field of autonomous driving and connected vehicles by integrating Meisun's technology.
    AI and Edge Computing: TI launches TDA4VM platform with integrated AI accelerator to support real-time data processing for autonomous driving; ADI uses AI to optimize industrial manufacturing and predictive maintenance solutions.
    Mature process demand: Growth in mature process orders (e.g. 14nm/28nm) from founticos such as UMC indicates a recovery in analog chip demand, which both TI and ADI are likely to benefit from.
 
conclusion
    TI's advantages: scale, vertical integration, broad customer base.
    ADI's potential: to quickly strengthen technology weaknesses through mergers and acquisitions, and to be more active in the AI-driven demand recovery.
    In the short term, TI remains ahead with its market position and manufacturing capabilities, but ADI's flexibility and strategic acquisitions could further narrow the gap in future competition. The competition between the two will revolve around the integration of automotive electronics, industrial automation and AI, and the final outcome or outcome depends on the speed of technology iteration and the matching degree of market demand.