宏观研究 证 券 研 究 报 告 【宏观快评】2025 年 12 月非农数据点评 10W！或是美国降息的就业分水岭 主要观点 ❖ 2025 年 12 月份非农数据简述 1、新增非农低于预期，前两个月数据明显下修。新增非农就业 5 万，预期 7 万。私人部门新增非农就业 3.7 万，预期 7.5 万。10-11 月新增就业合计下修 7.6 万。就业增长集中在教育保健服务（+4.1 万，前值+5.9 万）、休闲酒店（+4.7 万，前值-0.3 万）。零售、建筑、制造业、专业和商业服务等行业就业萎缩。 2、失业率意外回落，录得 4.4%（4.375%），预期 4.5%，前值 4.5%（4.536%）。 劳动参与率从 62.46%降至 62.40%，预期 62.4%。失业率下行主要源于就业增 长和供给小幅收缩，前者影响约 0.14 个百分点，后者影响约 0.03 个百分点。 3、时薪增速符合预期，但周工时下滑。私人行业时薪环比 0.3%，预期 0.3%， 同比增速 3.8%，预期 3.6%。周工时从 34.3 小时降至 34.2 小时，仍处于 2015 年以来的低位水平。周薪环比持平，并未增长（时薪是周薪和周工时的倒 ...

Investment Rating - The report maintains a "Buy" recommendation for the transportation industry, particularly focusing on the low-altitude economy and drone sectors [2]. Core Insights - The report emphasizes the growing importance of drones in modern warfare, highlighting their low cost and high efficiency, with global military drone spending expected to grow from $14.9 billion in 2025 to $28.6 billion by 2034, at a CAGR of 7.5% [4][8]. - It suggests a focus on companies involved in drone manufacturing and military applications, such as Aerospace Rainbow and Zhongyun Drone, as well as industrial drone representatives like Zongheng Co. and Green Energy Huichong [4][13]. - The report also discusses the urgent need for anti-drone systems, estimating a global market potential of $63 billion by 2025, with a CAGR of 11-13% from 2025 to 2030 [15][16]. Summary by Sections Industry Overview - The transportation industry includes 121 listed companies with a total market capitalization of ¥34,170.25 billion, representing 2.69% of the overall market [2]. - The absolute performance of the industry over the past 12 months is 9.0%, while relative performance has decreased by 16.9% [2]. Drone Warfare and Anti-Drone Systems - Drones are increasingly recognized as a new force in modern warfare, with significant applications in recent conflicts [5][6]. - The report highlights the successful test flights of new drone models, such as the Rainbow-7 and the "Jiutian" drone, showcasing advancements in China's drone capabilities [11][12]. - The anti-drone market is driven by both military and civilian needs, with a focus on protecting critical infrastructure [15][16]. Aviation Industry and Engine Manufacturing - The report identifies the aviation engine sector as a critical area for investment, noting that China is still in the early stages of developing its civil aviation engines, with a market penetration of less than 1% [19][20]. - It recommends focusing on the commercial aviation engine supply chain, including key players like Aero Engine Corporation of China and its suppliers [21][24]. Market Performance - The Huachuang Transportation Low Altitude 60 Index increased by 7.6% over the past week and year, outperforming major indices like the CSI 300 [28][30]. - Notable stock performances include Aerospace Electronics, which saw a 35% increase, and Haige Communication, which rose by 27% [33][34]. Investment Recommendations - The report suggests a multi-faceted approach to investment, focusing on various segments of the low-altitude economy, including manufacturers, supply chains, and digital infrastructure [38][39]. - Key companies to watch include Wan Feng Ao Wei, Xie Rui, and Zhongyun Drone, among others, as they are positioned to benefit from the growth in low-altitude applications and infrastructure [39][46].

Investment Rating - The report maintains a "Recommended" rating for the mechanical industry, with a focus on AI equipment and consumables, as well as engineering machinery [1]. Core Insights - The mechanical industry is expected to benefit from the acceleration of AI applications, particularly in high-performance servers and GPU demand, driven by the rapid iteration of AI models and smart hardware [7]. - The excavator market is projected to exceed expectations in both domestic and international sales, with a forecasted 17% year-on-year growth in 2025, supported by government policies and infrastructure projects [7]. - The report emphasizes the potential for a new recovery cycle in the equipment industry, driven by monetary and fiscal policy support, and suggests focusing on key companies across various segments [7]. Summary by Sections Key Company Earnings Forecast, Valuation, and Investment Ratings - Companies such as 汇川技术 (Inovance Technology), 法兰泰克 (Falan Tech), and 信捷电气 (Xinjie Electric) are rated as "Strong Buy" with projected EPS growth and favorable PE ratios [2][8]. - For example, 汇川技术 is expected to have an EPS of 2.11元 in 2025, with a PE ratio of 37.13, indicating strong growth potential [2]. Industry and Company Investment Views - The report highlights the AI equipment and consumables sector as a key area for investment, with significant growth expected in the PCB market driven by AI infrastructure needs [9]. - The engineering machinery sector is also highlighted, with companies like 三一重工 (Sany Heavy Industry) and 徐工机械 (XCMG) expected to benefit from increased domestic demand and international market recovery [7][9]. Key Data Tracking - The report provides macroeconomic data indicating a total market capitalization of 70,956.73 billion yuan for the mechanical industry, with 636 listed companies [4]. - The mechanical sector has shown strong performance, with a 5.7% increase in the sector index over the past week, outperforming major indices [11][14].

Investment Rating - The report maintains a "Buy" rating for the non-ferrous metals sector, highlighting the initiation of a spring rally with significant price increases in metals [2]. Core Views - The spring rally is believed to have started, with aluminum prices showing strong elasticity. As of January 9, the SHFE aluminum closing price was 24,385 CNY/ton, a 6.4% increase from December 31, 2025. The report anticipates that aluminum prices may rise further due to rigid supply constraints and increasing demand in new sectors [3][4]. - The report emphasizes the positive outlook for the electrolytic aluminum sector, predicting average profits to exceed 7,500 CNY/ton, supported by improved cash flow and stable profitability among companies [4]. - A strike at the Mantoverde copper mine in Chile could impact copper production, potentially exacerbating supply tightness in 2026 [5]. Summary by Sections Industrial Metals - **Aluminum Market**: The report notes a significant increase in aluminum prices and a rise in profits, driven by supply constraints and new demand areas. The global aluminum inventory remains low, providing strong support for prices [3]. - **Copper Market**: The report highlights a rise in copper inventories and recommends several companies in the copper sector, including Zijin Mining and Western Mining [6]. New Energy Metals and Minor Metals - **Cobalt Market**: The report indicates that cobalt exports from the Democratic Republic of Congo are delayed, leading to a potential price increase. The average price of electrolytic cobalt rose to 460,000 CNY/ton, a 1.1% increase from December 31, 2025 [7][12]. - **Company Performance**: Huayou Cobalt's 2025 earnings forecast exceeds market expectations, with a projected net profit increase of 40.8% to 55.2% year-on-year [14]. Industry Data - **Market Performance**: The non-ferrous metals sector has shown strong absolute and relative performance over the past year, with a 110.2% increase over 12 months [9]. - **Stock Market Data**: The total market capitalization of the sector is approximately 457.86 billion CNY, with 126 listed companies [8].

- The report introduces a "Total Heat Index" indicator, defined as the sum of browsing, self-selection, and click counts for individual stocks, normalized by their market share on the same day, and multiplied by 10,000. The indicator range is [0,10000][7] - A rotation strategy is constructed based on the weekly heat index change rate (MA2). At the end of each week, the strategy buys the broad-based index with the highest MA2 change rate. If the "Others" group has the highest change rate, the strategy remains in cash. The annualized return since 2017 is 8.74%, with a maximum drawdown of 23.5%. In 2026, the strategy achieved a return of 7.9%[13][16] - A concept-based strategy is developed by selecting the top 5 concepts with the highest weekly heat index change rate. Stocks within these concepts are filtered by excluding the bottom 20% in terms of market capitalization. Two portfolios are constructed: the "TOP" portfolio holds the top 10 stocks with the highest heat index within each concept, while the "BOTTOM" portfolio holds the bottom 10 stocks. The "BOTTOM" portfolio historically achieved an annualized return of 15.71% with a maximum drawdown of 28.89%. In 2026, the "BOTTOM" portfolio returned 6.4%[32][34]

Quantitative Models and Construction Methods 1. Model Name: Volume Model - **Construction Idea**: The model uses trading volume data to predict market trends[1][13] - **Construction Process**: The model analyzes the trading volume of various broad-based indices to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing short-term market movements[1][13] 2. Model Name: Feature Dragon Tiger List Institutional Model - **Construction Idea**: This model uses institutional trading data from the Dragon Tiger List to predict market trends[1][13] - **Construction Process**: The model analyzes the trading activities of institutions listed on the Dragon Tiger List to generate buy or sell signals[1][13] - **Evaluation**: The model is useful for understanding institutional trading behavior and its impact on the market[1][13] 3. Model Name: Feature Volume Model - **Construction Idea**: This model uses specific volume characteristics to predict market trends[1][13] - **Construction Process**: The model analyzes specific volume patterns to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in identifying significant volume changes that precede market movements[1][13] 4. Model Name: Intelligent Algorithm CSI 300 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 300 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 300 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 5. Model Name: Intelligent Algorithm CSI 500 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 500 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 500 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 6. Model Name: Limit Up and Down Model - **Construction Idea**: This model uses the occurrence of limit up and down events to predict market trends[1][13] - **Construction Process**: The model analyzes the frequency and context of limit up and down events to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing extreme market movements[1][13] 7. Model Name: Up and Down Return Difference Model - **Construction Idea**: This model uses the difference between upward and downward returns to predict market trends[1][13] - **Construction Process**: The model calculates the difference between upward and downward returns to generate buy or sell signals[1][13] - **Evaluation**: The model provides insights into market momentum and potential reversals[1][13] 8. Model Name: Calendar Effect Model - **Construction Idea**: This model uses calendar-based patterns to predict market trends[1][13] - **Construction Process**: The model analyzes historical data to identify recurring calendar-based patterns and generate buy or sell signals[1][13] - **Evaluation**: The model is useful for identifying seasonal trends in the market[1][13] 9. Model Name: Long-term Momentum Model - **Construction Idea**: This model uses long-term momentum to predict market trends[1][14] - **Construction Process**: The model analyzes long-term price momentum to generate buy or sell signals[1][14] - **Evaluation**: The model is effective in capturing long-term market trends[1][14] 10. Model Name: A-Share Comprehensive Weapon V3 Model - **Construction Idea**: This model combines multiple factors to predict market trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 11. Model Name: A-Share Comprehensive Guozheng 2000 Model - **Construction Idea**: This model combines multiple factors to predict the Guozheng 2000 index trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal for the Guozheng 2000 index[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 12. Model Name: Turnover Rate Inverse Volatility Model - **Construction Idea**: This model uses the inverse relationship between turnover rate and volatility to predict market trends[1][16] - **Construction Process**: The model analyzes the turnover rate and its inverse relationship with volatility to generate buy or sell signals[1][16] - **Evaluation**: The model is effective in identifying periods of high market uncertainty[1][16] Model Backtesting Results 1. Volume Model - **Indicator Value**: All broad-based indices are bullish[1][13] 2. Feature Dragon Tiger List Institutional Model - **Indicator Value**: Bullish[1][13] 3. Feature Volume Model - **Indicator Value**: Bullish[1][13] 4. Intelligent Algorithm CSI 300 Model - **Indicator Value**: Bullish[1][13] 5. Intelligent Algorithm CSI 500 Model - **Indicator Value**: Bullish[1][13] 6. Limit Up and Down Model - **Indicator Value**: Bullish[1][13] 7. Up and Down Return Difference Model - **Indicator Value**: All broad-based indices are bullish[1][13] 8. Calendar Effect Model - **Indicator Value**: Neutral[1][13] 9. Long-term Momentum Model - **Indicator Value**: Some broad-based indices are bullish[1][14] 10. A-Share Comprehensive Weapon V3 Model - **Indicator Value**: Bullish[1][15] 11. A-Share Comprehensive Guozheng 2000 Model - **Indicator Value**: Bullish[1][15] 12. Turnover Rate Inverse Volatility Model - **Indicator Value**: Bearish[1][16]

Group 1: Inflation Overview - In December 2025, CPI increased year-on-year from 0.7% to 0.8%, while core CPI remained stable at 1.2%[2] - PPI narrowed its year-on-year decline from -2.2% to -1.9%[2] - The GDP deflator index for Q4 2025 is expected to be around -0.4%, with earlier quarters at -0.8%, -1.2%, and -1%[2] Group 2: CPI Analysis - The cumulative CPI increase for 2025 is 0.8%, a significant recovery compared to the average -0.1% in 2023-24[5] - Food prices rose by 1.1% in 2025, driven by increases in fruits, vegetables, and beef[5] - Gold jewelry prices surged by 68.5%, contributing to the overall CPI improvement[5] Group 3: PPI Trends - In the first half of 2025, PPI experienced a monthly average decline of -0.3%, compared to -0.2% in 2023 and 2024[6] - The second half of 2025 saw PPI stabilize with a monthly average of 0%, indicating a recovery in various industry chains[6] - Factors influencing PPI include global recession fears due to U.S. tariff policies and ongoing adjustments in the domestic real estate market[6] Group 4: 2026 Outlook - CPI is projected to rise by approximately 0.8% in 2026, with a technical adjustment of 0.1 percentage points due to base effects[10] - PPI is expected to decline by about -1%, with an upward adjustment of 0.4 percentage points due to price increases in the non-ferrous sector[10] - Potential upward risks for CPI include increased consumer subsidies and improved service supply in the economy[10]

Summary of Key Points Core Viewpoints - The fourth quarter of 2025 saw mixed performance across different indices, with the Growth Index rising by 5.03% and the Shanghai Composite Index increasing by 2.22% [1] - Most sectors within the CITIC first-level industries showed positive returns, particularly the Oil & Petrochemical sector, which rose by 16.97%, and the Defense & Military sector, which increased by 16.74% [1][10] - Timing models in the fourth quarter demonstrated the ability to achieve absolute positive returns, with several models performing notably well [1] Sector Performance - The Oil & Petrochemical sector had a closing price of 3,424.25 with a quarterly increase of 16.97% [11] - The Defense & Military sector closed at 11,864.34, reflecting a quarterly rise of 16.74% [11] - Other sectors with significant gains included Nonferrous Metals (15.63%), Communications (14.72%), and Consumer Services (8.45%) [11][10] Fund Performance - Balanced mixed funds outperformed others with an average return of 1.22%, while stock funds showed a decline of 1.71% [14] - A total of 715 new public funds were established in Q4 2025, raising a total of 2,784.53 billion, with mixed funds raising 997.56 billion [14] Investment Themes - The report emphasizes the importance of utilizing historical timing, sector rotation, and stock selection models to identify future investment opportunities [5][6] - The focus for Q1 2026 is on sectors such as Construction Materials, Automotive, and Electronics [3] Timing Strategies - The report outlines various timing models, including short-term models like the Price-Volume Resonance Model and the Low-Volatility Blade Model, which aim to capture market trends and rebounds [15][16] - The Long-term Momentum Swing Model has shown a 7.01% annualized return since June 2008, indicating its effectiveness in long-term market analysis [43][44] Comprehensive Models - The Comprehensive Weapon V3 Model integrates multiple timing strategies and has achieved an annualized return of 29.55% since February 2015 [46] - The Smart Algorithm Timing Model for the CSI 300 Index has demonstrated a remarkable annualized return of 35.42% since January 2014, showcasing its superior performance compared to the index itself [49][50]

1. Report Industry Investment Rating No information provided in the content. 2. Core Viewpoints of the Report - In the second week of January, food price declines narrowed, while industrial product spot and futures prices rose. After the holiday, the resumption of work was relatively fast, and production generally improved compared to pre - holiday levels [37]. - For the bond market, January is an important window for the economy to achieve a "good start". Benefiting from the early release of "two new" policies and the expansion of the early batch of "two major" policies, the post - holiday resumption of work was fast, and production improved. The manufacturing PMI in December exceeded expectations in terms of production and orders. With more working days in January this year compared to last year and the impact of pre - Spring Festival stockpiling and rush work, the prosperity in production and exports is expected to continue, and the PMI at the end of the month may still be strong. Macro front - loaded efforts and the promotion of the "anti - involution" concept may boost short - term re - inflation trading expectations. The suppression of the bond market sentiment by the equity and commodity markets may still occur repeatedly, so high - frequency verification is needed, especially the slope and persistence of price index recovery [37]. 3. Summary According to the Directory 3.1 Inflation - related: Food Price Declines Narrowed - Pork price increases expanded, and the food price index showed a mild decline. From January 5th to January 9th, the average wholesale price of pork in the country increased by 1.45% week - on - week, and the decline of vegetable prices narrowed to - 0.9%. The 200 - index of agricultural product wholesale prices and the wholesale price index of basket products decreased by 0.1% and 0.2% respectively week - on - week, with the declines narrowing [10]. 3.2 Import and Export - related: Container Shipping Demand was Stable, and Freight Rate Indices were Divergent - Container shipping demand was basically stable, and route freight rates were divergent. This week, the CCFI index increased by 4.2% week - on - week, while the SCFI decreased by 0.5% week - on - week. The export container shipping market was generally stable. The demand and freight rates of European and North American routes were stable and rising, while the freight rates of routes such as Australia - New Zealand and South America declined significantly, dragging down the SCFI [15]. - In terms of port throughput, from December 29th to January 4th, the container throughput and cargo throughput of ports increased by 6.3% and decreased by 0.7% respectively compared to the pre - holiday week. The post - holiday resumption of work was fast, and there was a month - on - month improvement [15]. - The BDI and CDFI indices continued to weaken. Affected by the Christmas and New Year holidays, the international dry bulk shipping market entered the traditional off - season, with limited market trading activity. The BDI and CDFI decreased by 5.8% and 3.2% respectively, with the declines expanding [15]. 3.3 Industry - related: Industrial Production Rhythm Accelerated after the Festival - There was an expectation of tightened coal supply, and coal prices rose. This week, the price of thermal coal (Q5500) at Qinhuangdao Port increased by 1.8% week - on - week, compared with a 1.4% decline in the previous week. Before the New Year's Day, the heating load did not meet expectations, the demand for household electricity was weak, and the daily consumption of power plants decreased slightly. After the festival, the temperature dropped in the central and eastern regions, and the daily consumption of power plants increased. However, coal inventories were still relatively high compared to the same period. End - users mainly consumed inventories and ensured long - term contract shipments, with limited incremental demand. Before the Spring Festival, some coal mines completed their annual production and sales tasks and successively stopped production for maintenance, resulting in a phased tightening of pit - mouth supply and an obvious reduction in port inventories, which boosted coal prices [19][20]. - The decline of rebar prices expanded. The spot price of rebar (HRB400 20mm) decreased by 0.36% week - on - week, compared with a 0.02% decline in the previous week. Before the festival, the profitability of steel mills stabilized at a low level, and some blast furnaces resumed production after maintenance. After the holiday, more production resumed, the rebar output continued to rise, and the inventories in factories and society ended the destocking trend and turned to inventory accumulation [20]. - The asphalt start - up rate was at a low level compared to the same period at the beginning of the year. This week, the start - up rate of asphalt plants decreased by 6.8 percentage points to 25.4% week - on - week, and was 1.6 percentage points lower year - on - year, still at a seasonal low. The road construction demand in the north basically stagnated, while the demand in South China and Southwest China was okay, but mainly focused on digesting existing inventories, with limited boost to production increments [20]. - Copper prices continued to rise. This week, the average prices of Yangtze River non - ferrous copper and LME copper increased by 2.8% and 4.8% respectively week - on - week, maintaining a strong trend. On the one hand, there was still an expectation of tightened supply. On the other hand, the good performance of China's manufacturing PMI and the early implementation of macro - policies such as the "two new" policies boosted confidence and supported copper prices [24]. - Glass futures turned from decline to rise, and the production and sales improved significantly after the festival. The futures market was mainly driven by the general rise of commodities. In the spot market, the trading was good this week, and the price trend increased. Before the New Year's Day holiday, the trading performance was weak. After the festival, boosted by macro - policies and the re - inflation trading in the futures market, the production and sales performance in many places improved significantly, and the industry's inventory pressure was relieved [24]. 3.4 Investment - related: At the Beginning of the Month, it was the Off - season, and Real Estate Sales Declined Slightly - Cement prices continued to decline. This week, the weekly average of the cement price index decreased by 0.62% week - on - week, and the decline continued to expand. The performance varied by region. In East China, the demand declined slightly due to the holiday and cooling, while in Central and South China and Northwest China, the construction demand of construction sites was released, and the increase in the concrete shipping volume boosted the cement price to maintain a slight increase [26]. - New home sales decreased month - on - month. From January 2nd to January 8th, the transaction area of new homes in 30 cities was 1.032 million square meters, a month - on - month decrease of 67% compared with the previous week (December 26th - January 1st). The decline slope was similar to that in the same period in 2025, and the year - on - year decrease for the single week was 3%. The transactions during the New Year's Day holiday maintained the characteristics of the traditional off - season [30]. - Second - hand home sales continued to decline. From last Friday to this Thursday, the transaction area of second - hand homes decreased by 7.7% month - on - month, and it decreased by 7.3% month - on - month last week (December 26th - January 1st), indicating a continuous cooling of transactions [30]. 3.5 Consumption: Passenger Car Retail Sales in December Decreased by 13% Year - on - year - In December, passenger car retail sales decreased by 13% year - on - year and increased by 3% month - on - month. According to the Passenger Car Association, the total retail sales of the passenger car market in December were 2.296 million vehicles, a year - on - year decrease of 13% and a month - on - month increase of 3%. Among them, the retail sales in the week from December 29th to 31st were 123,000 vehicles, a year - on - year increase of 17% and a month - on - month increase of 2%, highlighting the year - end sprint effect [31]. - The impact of geopolitics escalated, and crude oil prices rose more significantly. As of January 9th, compared with January 2nd, the prices of Brent crude oil and WTI crude oil increased by 4.2% and 3.1% respectively week - on - week, continuing to strengthen. The increasing uncertainty of the Russia - Ukraine geopolitical situation and the US military strike on Venezuela boosted oil prices [31].

Investment Rating - The report maintains a "Recommended" rating for the medical device sector, particularly highlighting opportunities in innovative drugs and medical devices [49]. Core Insights - The report emphasizes a transition in the innovative drug sector from quantity to quality, suggesting a focus on differentiated products and internationalization by 2025 [11]. - In the medical device sector, there is a notable recovery in bidding volumes for imaging equipment, with a focus on companies like Mindray and United Imaging [11]. - The report identifies a significant growth potential in the orthopedic market due to aging demographics and increasing surgical penetration rates in China [43]. - The life sciences service sector is experiencing a demand recovery, driven by both domestic and international market needs, with a focus on the importance of mergers and acquisitions for growth [50]. Summary by Sections Market Review - The medical index rose by 7.70%, outperforming the CSI 300 index by 4.91 percentage points, ranking 5th among 30 sectors [7]. - The top-performing stocks included Baitai, Innovation Medical, and Sanbo Neuroscience, while the worst performers were Baihua Pharmaceutical and Jinhao Medical [7]. Overall Views and Investment Themes - Innovative drugs are expected to see a shift towards quality, with a focus on companies like BeiGene and Innovent [11]. - Medical devices are benefiting from a recovery in bidding for imaging equipment and a push for domestic substitutes in the market [11]. - The innovative chain (CXO + life sciences services) is anticipated to see a rebound in investment, with a focus on high-growth potential companies [11]. - The report highlights the potential for growth in the blood products sector, with an emphasis on companies like TianTan Biological and Boya Biological [11]. Specific Company Insights - Neuralink is positioned as a leader in the invasive brain-computer interface sector, with significant advancements in its technology and clinical trials [21]. - Synchron is noted for its endovascular brain-computer interface, which offers a safer solution for severely paralyzed patients [25]. - Paradromics focuses on high-bandwidth brain-computer interfaces, aiming to decode complex human intentions [32]. - CorTec is pioneering closed-loop brain-computer interfaces, providing real-time interaction between the brain and external devices [36]. - Precision Neuroscience is innovating minimally invasive implantation techniques for brain-computer interfaces [39]. - Blackrock Neurotech is recognized for its comprehensive solutions in the brain-computer interface field, aiding patients with sensory restoration and control [42].