祝融说。

The automobile has been called the "jewel in the crown of modern industry." For over a hundred years, the traditional automotive industry, defined by internal combustion engines, transmissions, and mechanical drivetrains, has been a pillar of global manufacturing, shaping our cityscapes, lifestyles, and even geopolitical landscapes. It was an "old world" of entrenched giants, formidable barriers, and slow innovation.

Yet, starting in the second decade of the 21st century, a revolution driven by batteries, electric motors, and electronic controls (the "three-electric" system) and software, chips, and data (the "new three transformations" — electrification, intelligence, and connectivity) has been sweeping in with unstoppable force. The new energy vehicle (NEV) is not merely a change in energy form; it is more like a "smartphone on four wheels," fundamentally overturning the product definition, industry chain structure, business model, and competitive landscape of the automobile.

This is a once-in-a-century transformation.

For an industry researcher, the NEV industry is a near-perfect "textbook case." It is complex enough, spanning energy, manufacturing, technology, and consumption; it is dynamic enough, with technology roadmaps, competitive landscapes, and business models changing daily; it is important enough, relating to national strategy, energy security, and the ultimate form of future mobility.

In this chapter, our task is to apply the complete analytical framework established in the preceding eight chapters to conduct a systematic, structured deep-dive into the NEV industry. We will no longer discuss a specific technology or company in isolation; instead, we will build our own "NEV Research Framework."

We will sequentially apply the eight pillars of the framework, moving layer by layer to answer the following core questions:

1. Industry Stage: What stage of the lifecycle is the NEV industry currently in? What does this mean for where our analytical focus should be?
2. Business Model: Is it merely about "selling cars"? How will the business model evolve in the future?
3. Market Size: Just how high is the "ceiling" of this market?
4. Moat: In this entirely new sector, what are the moats that determine success or failure?
5. Competition and Profitability: With old and new forces interweaving, who will be the ultimate winners of this "elimination game"? How will profits be distributed?
6. Valuation Framework: Why is the market willing to give such high valuations to loss-making NEV startups? How will this evolve in the future?
7. External Factors: How do external forces, such as policy and oil prices, steer the industry's "wheel"?
8. Sentiment Indicators: Which high-frequency data should we closely monitor to feel the industry's "accelerator" and "brake"?

Through this complete practical exercise, you will not only deeply understand the NEV industry but, more importantly, learn how to "flexibly apply" an abstract analytical framework to a specific, complex real-world case. This is the crucial leap from "knowing" to "doing."

Now, let us start the engine and begin by positioning the industry stage of new energy vehicles.

Section 1: Industry Stage — An "S-Curve" Revolution of Penetration Rate

Core Judgment: The NEV industry is in the steep climbing phase of the "growth stage," where penetration is rapidly rising from 10% toward 50%.

This is the "overall positioning" for our entire industry analysis. This judgment sets the "overall tone" for all our subsequent analyses.

Identifying Marker: Non-Linear Growth of Penetration Rate

As discussed in Chapter 1, the core indicator for judging an industry's lifecycle is the penetration rate. According to the technology S-curve theory, when the market penetration of a new product or technology breaks through the 10% "tipping point," it typically enters a period of several years of non-linear, exponential, accelerating growth. This phase continues until it approaches a saturation point of 50%-60%, after which growth slows down.

• Global Data:
  • 2020: Global NEV penetration rate was approximately 4%.
  • 2021: Penetration rate jumped to about 8%.
  • 2022: Penetration rate surpassed 13%, officially crossing the "tipping point."
  • 2023: Penetration rate further increased to about 18%.
• China Data (Global Leader):
  • 2020: Penetration rate was about 5.8%.
  • 2021: Penetration rate surged to 13.4%, completing the "tipping."
  • 2022: Penetration rate reached 25.6%.
  • 2023: Penetration rate exceeded 31%.
  • Conclusion: Whether globally or in China, the NEV penetration curve perfectly exhibits the "steep climb" characteristic of the S-curve. The Chinese market, as a pioneer, provides a clear preview of the evolution for the global market.

Core Characteristics and Analytical Focus of the "Growth Stage"

Since we have positioned the industry in the growth stage, according to the theory in Chapter 2, our analysis should focus on the core contradictions of the growth stage, rather than secondary issues of other stages.

Core Contradiction: Growth > Profitability

• Characteristic: In the growth stage, seizing market share, expanding user scale, and building brand recognition are the top priorities for all players. Companies will spare no expense in R&D, marketing, and capacity construction to fuel rapid sales growth. Therefore, industry-wide losses or thin margins are the norm.
• Analytical Focus:
  • Sales Growth Rate (YoY, QoQ): This is the most core and direct indicator for measuring a company's competitiveness in the growth stage. We need to see if its growth rate is exceeding the industry average, and whether its market share is rising or falling.
  • Refrain from demanding short-term profitability: At this stage, applying the profitability standards of a mature industry (such as high net profit margins) to an NEV company is a fool's errand. We should focus more on changes in its gross margin, as this reflects the company's product pricing ability and manufacturing cost control, and is a "leading indicator" of future profitability.

Core Contradiction: Unsettled Landscape, Dynamic Evolution

• Characteristic: The growth stage is an era of "staking out territory." The competitive landscape is far from stable. New entrants (like Xiaomi, Huawei) are constantly emerging, while old participants may fall behind at any time. Technology roadmaps, product definitions, and business models are all iterating rapidly.
• Analytical Focus:
  • Monitor dynamic changes in the competitive landscape: Monthly and quarterly sales ranking changes are highly noteworthy. Who is leading product innovation? Whose brand momentum is rising?
  • Identify the potential for "endgame players": We need to think about what kind of company is more likely to survive and become a leader in the future "elimination game." (We will explore this in detail in Section 4, "Moat.")

Core Contradiction: Supply Creates Demand

• Characteristic: In the growth stage, industry growth comes not only from replacing the existing stock (ICE vehicles) but also from "new demand" created by new technologies and products.
• Analytical Focus:
  • Product Definition Capability: Pay attention to companies that can stimulate potential consumer demand through innovative product design (such as exterior and cabin experience), technological features (such as autonomous driving and smart interaction), or business models (such as service subscriptions). The success of Tesla's Model 3/Y, and Li Auto's precise targeting of the "family dad car" need, are exemplary cases of "supply creating demand."

The Researcher's Perspective: Viewing the World Through the "Lens" of the Growth Stage

Identifying the "growth stage" provides us with the correct "analytical lens."

• When we see an automaker's quarterly losses widen, we won't simply think "this company is doomed." Instead, we will analyze whether the increased loss is due to deteriorating gross margins or a strategic increase in R&D and sales investment. If it is the latter, and it leads to faster sales growth and increased market share, then it might be a healthy, necessary "cost of growth."
• When evaluating a company's value, we will place more weight on its future growth potential and market position than on its current profitability figures. This explains why the market is willing to give NEV companies valuations far higher than traditional automakers (which we will detail in Section 6, "Valuation Framework").

Accurately judging the industry stage is the "first button" of our entire research framework. Button it correctly, and all subsequent analysis can proceed in an orderly fashion.

Section 2: Business Model — More Than "Selling Cars," an Expedition of "Value Reconstruction"

The traditional automotive business model is simple and clear: a "one-off transaction." Automakers sell cars to consumers through 4S dealerships, and the vast majority of value and profit is realized at the moment of sale. Subsequent maintenance and parts can contribute some profit, but compared to vehicle sales, they are merely "extras."

New energy vehicles, especially smart electric vehicles, are completely upending this century-old model. The business model is evolving from "manufacturing + sales" toward an ecosystem model of "hardware + software + services."

Restructuring the Value Chain: The Shift of the Profit Pool

As we learned in Chapter 5 on value chain analysis, in the era of NEVs, the "profit pools" along the value chain are undergoing a structural shift.

• Traditional Automotive Value Chain: Profits were mainly concentrated in core mechanical components like engines and transmissions, as well as brand premiums and sales channels.
• NEV Value Chain:
  • Upstream: Batteries have become the most costly (about 30%-40% of the vehicle cost) and highest-value component. The rise of battery giants like CATL is a manifestation of this trend. Chips and algorithms (especially those related to autonomous driving and smart cockpits) have become new value highlands.
  • Midstream (Automakers): The core of value creation is shifting from traditional mechanical engineering and manufacturing processes to the vehicle's electronic/electrical architecture, software development, user data operations, and brand ecosystem building.
  • Downstream: Energy services (charging, battery swapping, energy storage) and software/content services have become new, sustainable sources of profit.

Analyzing Per-Vehicle Profitability: How Much Money Can One Car Make?

For an NEV company, we need to meticulously deconstruct its per-vehicle economic model, much like analyzing an internet company.

Per-Vehicle Lifetime Value = (A) Per-Vehicle Sales Gross Profit + (B) Software Subscription Revenue + (C) Energy Service Revenue + (D) Other Ecosystem Revenue

(A) Per-Vehicle Sales Gross Profit = Vehicle Selling Price - Vehicle Material Cost - Manufacturing Costs

• This is currently the primary source of profit.
• Analytical Focus:
  • Gross Margin Level and Trend: Tesla's ability to maintain a gross margin of over 20% for a long time reflects its strong cost control and brand premium. For the new forces (NIO, XPeng, Li Auto), the transition of gross margin from negative to positive and its continuous improvement is a sign of a healthy business model.
  • Scale Effects: As sales volume increases, the per-vehicle share of fixed costs (R&D, production line depreciation) decreases. Scale effects are key to improving gross margin.
  • Battery Costs: Fluctuations in battery prices directly impact per-vehicle gross profit. Automakers manage battery costs through in-house technology R&D (like BYD's Blade Battery), partnering with multiple suppliers, and investing in upstream mineral resources.

(B) Software Subscription Revenue: The "Second Sale"

• Core Logic: After the vehicle hardware is sold, software functions are continuously upgraded via OTA (Over-The-Air technology), and are sold to users for a "second sale" through subscription (monthly/annual fees) or one-time purchase.
• Main Forms:
  • Advanced Driver Assistance Systems (ADAS) / Autonomous Driving: This is currently the highest-value and most promising software service. Tesla's FSD software package, priced at thousands or even tens of thousands of dollars, is a key growth driver for its future profitability. NIO, XPeng, Li Auto, and others have also launched similar service packages.
  • Smart Cockpit Value-Added Services: Such as in-car entertainment (music, video subscriptions), online gaming, and exclusive applications.
• Analytical Focus:
  • Software Paid Conversion Rate: The proportion of total users who purchase software services.
  • ARPU: Average revenue per user from software.
  • Software Business Gross Margin: The marginal cost of software is extremely low. Once developed, the gross margin can reach 80%-90%, making it a typical "high-profit cash cow" business.

(C) Energy Service Revenue: From "Gas Station" to "Energy Grid"

• Core Logic: Providing charging, battery swapping, and other services around users' energy replenishment needs, and collecting service fees.
• Main Forms:
  • Self-Built Supercharging Networks: Such as those by Tesla, NIO, and XPeng. By providing efficient and convenient energy replenishment experiences, they enhance their brand moat and collect charging service fees.
  • Battery Swapping Service: NIO's BaaS (Battery as a Service) model allows users to rent batteries and enjoy battery swapping services, lowering the purchase threshold and creating a continuous stream of service revenue.
  • Vehicle-to-Grid (V2G): In the future, a large number of electric vehicles can act as distributed energy storage units, charging during off-peak hours and selling power back to the grid during peak hours. Vehicle owners can earn income from this, and automakers can participate as energy operators.

(D) Other Ecosystem Revenue

• Insurance: Tesla leverages its massive collection of real-world driving data to assess risks more accurately, allowing it to offer its own insurance products with lower costs and better experiences.
• Lifestyle Products: Such as NIO Life, which sells high-quality lifestyle products to enhance user stickiness and brand cultural identity.
• Used Car Services, Financial Services, etc.

The Researcher's Perspective: A Mental Shift from "Automaker" to "Mobility Service Provider"

When analyzing NEV companies, we must abandon the traditional mindset of valuing automotive stocks.

• Focus on the User Base (Vehicle Fleet): The company's value depends not only on how many new cars it sells in a given year but also on the total number of vehicles on the road. Every smart vehicle on the road is a "terminal" capable of continuously contributing software and service revenue in the future.
• Assess Ecosystem Value: A successful NEV company will ultimately build an ecosystem around the "car" as the core terminal. We need to assess the breadth and depth of its layout in software, energy, finance, and lifestyle.
• Long-Termism: Revenue from software and services may be insignificant in the early stages, but as the vehicle fleet grows and user habits develop, its growth will be exponential and high-margin. This requires us to take a longer-term view of the company's early investments and losses.

The transformation of the business model is the most profound and exciting part of the NEV revolution. It signals that future profits in the automotive industry will shift from "one-time" hardware sales to "subscription-style," sustainable, high-margin service revenue.

Section 3: Market Size — A Trillion-Dollar "Replacement" and "Creation"

As discussed in Chapter 3, market size determines the industry's ceiling. For the NEV industry, market size estimation can be approached from two dimensions: the "replacement" of existing ICE vehicle stock and the "value creation" driven by intelligence and servitization.

Replacement Space: Estimating Global and Major Market NEV Penetration

This is the foundation of market size estimation. The core formula is:

Future NEV Market Size (Sales Revenue) = Global/Country Annual Car Sales x Target Year NEV Penetration x NEV Average Selling Price

Step 1: Forecast Future Total Car Sales

• Developed Countries (US, Europe, Japan): The auto market has entered a saturated "stock replacement" phase. Total sales will remain stable or grow slightly. Their historical sales average can be used as a reference.
• Developing Countries (China, India, Southeast Asia): Still in the "incremental popularization" phase, with significant room for growth in cars per thousand people. Total sales will increase with economic development and rising per capita income.
• Overall Judgment: Global annual car sales are expected to stabilize in the range of 80 million to 100 million units over the next decade.

Step 2: Forecast Target Year NEV Penetration

• This is the most core and most uncertain step in the estimation. We need to comprehensively consider multiple factors:
  • Policy Drivers: Bans on the sale of ICE vehicles set by various governments. For example, the EU plans a ban by 2035, California by 2035, and China's Hainan Province by 2030. These policies set a "floor" for penetration rate increases.
  • Economics: When the total cost of ownership (TCO) of an NEV (purchase cost + energy cost + maintenance cost) becomes lower than that of an equivalent ICE vehicle, the penetration rate increase will shift from policy-driven to market-driven. With falling battery costs and fluctuating oil prices, this "economic inflection point" is accelerating.
  • Product Strength and Infrastructure: Improvements in range, the completion of charging/swapping networks, and a wider selection of products will all alleviate consumer "range anxiety" and "charging anxiety," accelerating the penetration process.
• Mainstream Forecasts:
  • 2025: Global NEV penetration expected to reach 25%-30%. China market may reach 40%-50%.
  • 2030: Global NEV penetration expected to reach 50%-60%. China market may reach 70%-80%.

Step 3: Forecast NEV Average Selling Price (ASP)

• Currently: Due to high battery costs, the ASP of NEVs is generally higher than that of equivalent ICE vehicles.
• Future Trend: With technological progress and scale effects, battery costs will continue to decline. At the same time, to compete for the broader mainstream market, automakers will launch more models at lower price points. Therefore, in the long run, the ASP of NEVs will show a downward trend.

Conclusion: A Multi-Trillion Dollar Hardware Market

• Assume global car sales in 2030 are 90 million units, NEV penetration is 50%, and the average selling price is $30,000 (about RMB 200,000).
• 2030 Global NEV Hardware Market Size ≈ 90 million x 50% x $30,000 ≈ $1.35 trillion (approximately RMB 10 trillion).
• This is just the hardware market for vehicle sales. Its sheer size is enough to support several companies with market capitalizations in the trillions.

Creation Space: The "Second Growth Curve" of the Software and Services Market

As described in Section 2, the true imaginative space for NEVs lies in the "second growth curve" beyond hardware.

Future Software/Service Market Size = Global NEV Fleet Size x Annual Service Value Per Vehicle

Step 1: Forecast Future NEV Fleet Size

The fleet size is a snowballing process, the accumulation of sales over the years. With rising penetration, the global NEV fleet will grow from tens of millions currently to hundreds of millions by 2030.

Step 2: Forecast Annual Service Value Per Vehicle

This is a variable with even more imagination. We can refer to the ARPU of smartphones. An Apple user spends tens or even hundreds of dollars annually on services like the App Store, iCloud, and Apple Music.

The value of a car is far higher than that of a phone, and the services it can support are more complex and of higher value.

• Autonomous Driving Software: Annual fee could range from hundreds to thousands of dollars.
• Energy Services: Charging service fees.
• In-Car Infotainment: Content subscription fees.
• Insurance, Financial Services, etc.

In the long term, the annual service value per smart vehicle could reach the order of $1,000.

Conclusion: Another Trillion-Dollar Software/Service Market

• Assume the global NEV fleet reaches 400 million vehicles by 2030, with an ARPU of $500.
• 2030 Global Automotive Software/Service Market Size ≈ 400 million x $500 = $200 billion.
• The profit margin of this market will be far higher than selling hardware. If the net profit margin reaches 30%, it implies a net profit pool of $60 billion.

The Researcher's Perspective: Dual Growth Engines

When evaluating the market size of the NEV industry, we must adopt a "dual perspective":

1. Replacement Perspective: See its enormous potential to replace the trillion-dollar hardware market of traditional ICE vehicles.
2. Creation Perspective: More importantly, see the entirely new, high-margin, sustainable software and services market it creates based on its massive vehicle fleet.

It is this dual growth logic of "hardware replacement" and "software creation" that together supports the grand narrative and high valuations of the NEV industry.

Section 4: Moat — Who Will Forge the "Crown" in the New Era?

In the ICE era, moats were primarily composed of engine/transmission technology, brand heritage, scale effects, and vast dealer networks. These barriers made it daunting for newcomers. But in the NEV era, the rules have been rewritten. Old moats are being filled in, and new moats are being dug.

Technology Moat: From "Mechanics" to "Electronics + Software"

Battery Technology:

• Importance: The battery is the heart of the NEV, directly determining range, safety, and cost.
• Moat Manifestation:
  • Chemical System Innovation: From LFP to NCM, and in the future to semi-solid/solid-state batteries, whoever masters the next-generation battery technology will hold the initiative.
  • Structural Innovation: Through cell-to-pack (CTP) and cell-to-chassis (CTC) technologies, companies can improve pack-level energy density and space utilization and reduce costs without changing the energy density of the cells themselves. BYD's "Blade Battery" is a typical example.
  • Supply Chain Control: Deeply binding or building in-house battery production capacity, or even extending upstream to lithium, nickel, cobalt, and other mineral resources, to ensure supply security and cost advantages.

Autonomous Driving Technology:

• Importance: This is the core that will determine future product differentiation, user experience, and software service revenue.
• Moat Manifestation:
  • Full-Stack In-House Development Capability: From the underlying chips and operating systems, to the middle-layer perception/decision algorithms, to the upper-layer applications, achieving full-stack vertical integration from software to hardware is key to building a technological barrier. This enables faster iteration speed and superior system performance.
  • Data Flywheel: Autonomous driving is an algorithm iteration process driven by data. A larger fleet allows for the collection of more real-world data (especially corner cases) to train and optimize algorithms, making the system smarter and safer. A smarter system attracts more users, forming a virtuous cycle — the "data flywheel." Tesla is the ultimate example of this model.
  • Computing Platform: Developing in-house or partnering with top suppliers to build high-performance in-vehicle computing platforms is the hardware foundation for achieving higher levels of autonomous driving.

Electronic/Electrical (E/E) Architecture:

• Importance: This is the "nervous system" and "brain" of the smart vehicle.
• Moat Manifestation: The evolution from traditional distributed ECU architecture to centralized "domain controllers" and even "central computing platforms." A more advanced E/E architecture enables "hardware-software decoupling," making OTA updates of vehicle software more flexible and efficient. It is the foundation for realizing "software-defined vehicles."

Brand Moat: From "Reliability and Durability" to "Technology, Trend, Lifestyle"

• Old brand perceptions are fading: The brand image built by traditional luxury brands (like BBA) in the ICE era, based on engine performance and mechanical quality, is difficult to transfer directly into the electric vehicle era.
• New brand mindsets are forming:
  • Technology Leader: Through its sustained lead in the three-electric system and autonomous driving, Tesla has successfully positioned itself as synonymous with "smart electric vehicles," occupying the high ground of consumer mindshare.
  • User-Centric Company: Through its ultimate service experience (like NIO's one-tap battery charging service and NIO Houses), premium brand positioning, and active user community, NIO has built strong user loyalty and emotional brand connection.
  • Precise Positioning: Li Auto has precisely targeted the "family luxury SUV" niche, establishing a clear and solid brand recognition by solving the genuine pain points of "family dads."

Scale Moat: The Return of a Classic Principle

• Importance: The essence of the automotive industry remains a manufacturing business with extremely significant scale effects. The per-vehicle cost between producing 100,000 units and 1 million units is worlds apart.
• Moat Manifestation:
  • Procurement Cost Advantage: Larger purchasing volumes mean stronger bargaining power with upstream parts suppliers (especially for batteries and chips).
  • Manufacturing Cost Advantage: Higher production volumes can dilute the huge fixed asset investments in production lines and tooling dies, reducing the manufacturing cost per vehicle. Tesla has taken cost reduction at scale to the extreme through process innovations like Giga-casting.
  • R&D Cost Dilution: Massive R&D investments need to be diluted by sufficient sales volume. A company selling a million cars a year can afford higher R&D costs per vehicle than Tesla, maintaining its competitive edge in technology.
  • Network Effects:
    • Charging Network: The wider a self-built charging/swapping network covers, the better the user experience, which in turn attracts more users, creating a positive feedback loop.
    • Service Network: The density of sales and service outlets directly affects the convenience of users buying and using vehicles.

The Researcher's Perspective: The "Changing of the Guard" in Moats

• Challenges for Traditional Automakers: They still have advantages in scale and manufacturing, but in new dimensions like software, E/E architecture, and user operations, they face enormous organizational inertia and transformation pains. Their moats are transitioning from "assets" to "liabilities."
• Opportunities for New Players: They have no historical baggage and can start from scratch, building their organizations and capabilities around the new technological paradigm. Their challenge is to translate their technological and brand advantages into tangible scale advantages quickly, within the window of opportunity.
• Endgame Scenario: The future leaders of the NEV industry will inevitably be those companies that can build deep moats across all three dimensions — technology, brand, and scale — simultaneously. A weakness in any single dimension could prove fatal in the fierce "elimination game."

Section 5: Competition and Profitability — A "Clash of the Titans" and the Redistribution of Profits

The NEV sector has attracted the most star-studded and diverse cast of players in history. This is a magnificent "clash of the titans," with participants broadly falling into four categories: the Trailblazer, the Local Giant, the New Forces, and the Transformers.

Player Profiles and Competitive Strategies

The Trailblazer: Tesla

• Position: The "definer" and "leader" of the global market.
• Core Advantages:
  • First-Mover Advantage: The earliest to mass-produce high-end smart electric vehicles, establishing strong brand mindshare and user recognition.
  • Technology Moat: Holds a significant lead in the three-electric system, autonomous driving (data flywheel), E/E architecture, and production processes (Giga-casting).
  • Scale and Cost: Global production layout (Shanghai, Berlin, Texas) brings enormous scale effects and cost advantages, enabling it to wage "price wars."
• Competitive Strategy: By maintaining a continuous lead in technology and cost, cover the mainstream market from the top down, and open a second growth curve through software services like FSD.

The Local Giant: BYD

• Position: The "king" of the Chinese market, the "versatile champion" of vertical integration.
• Core Advantages:
  • Vertical Integration: Uniquely masters the core technologies of the entire industry chain, from upstream batteries (Blade Battery) and semiconductors (IGBT chips) to midstream three-electric systems and vehicle manufacturing. This brings ultimate cost control and supply chain resilience.
  • "Technology + Cost" Dual Engine: Through its DM-i Super Hybrid and e-Platform 3.0 BEV technology, it achieves a "dimensionality reduction attack" on ICE vehicles in terms of performance and usage costs.
  • Multi-Brand Matrix: Through brands like Dynasty, Ocean, Denza, Fangchengbao, and Yangwang, it achieves full coverage of the price spectrum from RMB 50,000 to over RMB 1 million.
• Competitive Strategy: With "technology for all" as its core, use ultimate cost-effectiveness to comprehensively replace ICE vehicles in the mid-to-low-end market, while gradually breaking into higher segments.

The New Forces: NIO, Li Auto, XPeng, etc.

• Position: "Innovation pioneers" in the Chinese high-end market, establishing differentiated advantages in specific areas.
• Core Advantages:
  • NIO: Ultimate user service, battery swapping system, high-end brand image.
  • Li Auto: Precise product definition (family SUVs), extended-range technology route that solved early range anxiety.
  • XPeng: Strong technological recognition in "intelligent" labels like smart driving and smart cockpit.
• Competitive Strategy: In a market surrounded by giants, find a niche market and go deep and deep, build a differentiated brand moat through ultimate product or service experience, survive first, then seek development.

The Transformers: Traditional Giants (VW, GM, Ford, etc.) & Tech Giants (Huawei, Xiaomi, etc.)

• Traditional Giants:
  • Advantages: Deep pockets, strong manufacturing capabilities, profound brand heritage, and extensive channel networks.
  • Disadvantages: Rigid organizational structures, weak software capabilities, slow decision-making processes, making their "pivot" difficult.
  • Strategy: Launch dedicated electrification platforms (like VW's MEB), and attempt to catch up in scale and cost through massive investment.
• Tech Giants:
  • Advantages: Possess a "dimensionality reduction attack" capability in software, operating systems, smart ecosystems, user experience, and brand marketing.
  • Disadvantages: Lack of experience in vehicle manufacturing and supply chain management know-how.
  • Strategy: Through partnerships with automakers (like Huawei's Smart Selection model) or building cars themselves (like Xiaomi), empower or replicate their consumer electronics capabilities in the automotive industry.

Profitability Analysis and Outlook

Current Landscape:

• Tesla: The first NEV company globally to achieve stable, large-scale profitability. Its gross and net profit margins have long led the industry.
• BYD: Leveraging its cost advantages from vertical integration and enormous sales volume, it has also achieved significant profitability, making it the most profitable NEV company in China.
• New Forces: Most are still in a phase of strategic losses. Li Auto, with its precise product positioning and strict cost control, was the first to achieve annual profitability. NIO and XPeng, due to high R&D and channel investments, are still seeking scale breakthroughs while operating at a loss.
• Traditional Giants: Their EV businesses are generally in a phase of "swapping huge losses for sales volume," needing to "subsidize" them with profits from their ICE vehicle businesses.

Future Outlook: A Brutal "Elimination Game"

• "Scale" is the threshold for profitability: The industry generally believes that annual sales of 500,000 units are the "life-or-death line" for an automaker to break even, while annual sales of 1-2 million units are the foundation for becoming a global giant and achieving stable profitability.
• Price Wars to Become the Norm: With intensifying competition and overcapacity, "price wars" will become the norm for the next few years. This will accelerate the industry's clearing process. Companies that cannot gain an advantage in cost control and technological innovation will be eliminated.
• Profits Concentrate at the Top: Ultimately, the vast majority of the industry's profits will be divided among a few head companies (likely no more than 5-10 globally) that are comprehensively leading in technology, brand, and scale. This mirrors the smartphone industry, where Apple and Samsung capture the vast majority of profits.

The Researcher's Perspective: From "A Hundred Flowers Bloom" to "Oligarchic Monopoly"

We are currently in a transitional period, from the Spring and Autumn period of "a hundred flowers blooming" to the Warring States period of "oligarchic monopoly."

• Short Term: Focus on each automaker's monthly sales, market share changes, and gross margin trends to assess their relative competitive position.
• Long Term: Think about whose moat (technology, brand, scale) is deepest, whose business model (hardware + software + services) is most visionary, and whose organizational capabilities are best suited to a rapidly changing market. These will be the keys to determining who can laugh last.

Section 6: Valuation Framework — Why Use a "Telescope" Instead of a "Magnifying Glass"?

The valuation of the NEV industry has always been one of the most controversial topics in the market. Why did loss-making startups worth billions once surpass the market capitalization of traditional giants making billions in profit? Behind this lies a completely different valuation logic and narrative system.

Why Do Traditional Valuation Methods Fail?

• P/E Ratio (Price-to-Earnings): For most NEV companies in the growth stage that are still loss-making or barely profitable, net profit is negative or highly unstable, making the P/E valuation method completely ineffective.
• P/B Ratio (Price-to-Book): The core value of NEV companies lies in their intangible assets — technology, software, brand — not in heavy assets like plants and equipment. P/B ratio cannot reflect this core value.

Using P/E and P/B — a "magnifying glass" based on current earnings and book assets — to measure a growth industry oriented toward future great change is like trying to catch fish up a tree.

Core Valuation Methods for the Growth Stage: P/S and PEG

P/S Ratio (Price-to-Sales):

• Applicable Logic: In the growth stage, revenue (sales) growth is the most core indicator of a company's development. The P/S valuation method directly links market capitalization to the company's market expansion ability. Revenue is more stable than profit and will not be negative.
• How to Use:
  • Horizontal Comparison: Compare the P/S multiples of different NEV companies. However, a simple comparison is meaningless. It must be combined with their growth rate, gross margin level, and future profit potential. A company growing at 100% per year with a 20% gross margin should rightly enjoy a higher P/S multiple than one growing at 30% with a 10% gross margin.
  • Historical Comparison: Observing the P/S valuation range of a leading company (like Tesla) at different development stages (sales from 100,000 to 1 million) can serve as a reference for later players.
• The Essence of P/S Valuation: It is the market's vote of confidence in the company's "sustainability of revenue growth" and the "ultimate net profit margin it can achieve."

PEG Ratio (Price/Earnings to Growth):

• Applicable Logic: For companies that have already achieved profitability but are still in a high-growth phase (like Tesla and BYD in the future), PEG is a useful supplementary tool. It combines the static P/E ratio with the dynamic growth rate to judge whether the valuation matches its growth potential.
• How to Use: If a company has a P/E of 40x, but its future 3-5 year profit compound growth rate is also 40%, then its PEG = 1, suggesting the valuation may be reasonable.

Forward-Looking Valuation: "Weighing" the Future

For the NEV industry, a more fundamental valuation logic is a forward-looking valuation method (or a simplified version of the DCF model) based on endgame thinking.

Company Market Cap = Target Year (e.g., 2030) Forward Market Cap / (1 + Discount Rate)ⁿ

Forward Market Cap = Target Year Global Sales x Company's Market Share x Average Vehicle Price x Forward Net Profit Margin x Forward P/E Multiple

Every variable in this formula depends on our analysis from the previous chapters:

• Global Sales & Market Share: From judgments in Section 3 "Market Size" and Section 5 "Competitive Landscape."
• Average Vehicle Price & Forward Net Profit Margin: From judgments in Section 2 "Business Model" and Section 5 "Profitability." Net profit margin includes not only hardware but also the high-profit contribution of software and services.
• Forward P/E Multiple: When the company enters its mature phase, the market will give it a reasonable P/E. This P/E will be higher than that of traditional automakers because its business contains high-growth technology and service components.
• Discount Rate: Reflects the risk and uncertainty of the company achieving this long-term goal.

The Art of Valuation: The model itself is not complex. What is complex is the judgment of every core assumption. Different analysts will make different assumptions about market share, net profit margin, etc., leading to vastly different valuation results. The process of valuation is a systematic, quantitative "stress test" of all your knowledge about the industry and the company.

The Evolution of the Valuation Framework: The Shift from P/S to P/E

Current: The industry is in its growth phase, and P/S is the protagonist. The market's core contradiction is "who will survive and win market share."

Future: When the industry enters its mature phase (penetration rate exceeds 50%), the competitive landscape stabilizes, and leading companies achieve stable, large-scale profitability, the valuation framework will gradually shift back to P/E.

Conditions for the Shift:

• Industry growth slows down: From high-speed growth of over 50% to steady growth of 10%-20%.
• Profit predictability increases: Companies can consistently generate stable free cash flow.

The Researcher's Task: To anticipate this "valuation shift" point in advance. While the market is still cheering for sales volume, you need to start thinking about when the company's profitability can materialize to support its lofty valuation.

Section 7: External Factors — The "Policy Hand" and "Market Hand" Driving Change

The development of the NEV industry is profoundly influenced by external macro-economic factors. Among them, policy and oil prices are the two most important "hands."

Policy: The Powerful Guidance of "Carrots and Sticks"

The "Carrots": Demand-Side Stimulus and Supply-Side Support

• Purchase Subsidies / Tax Breaks: In the early stages of industry development, this was the most direct and effective means of stimulating demand. Although subsidies are gradually being phased out globally, their historical contribution to initiating the industry is undeniable.
• Industrial Investment: Governments provide substantial financial support to the industry through industrial funds, low-interest loans for enterprises, and support for public listings.
• Infrastructure Construction: By including charging stations and battery swapping stations in the "new infrastructure" category, governments either lead or guide social capital to undertake large-scale construction, addressing users' range anxiety.

The "Sticks": Regulations Forcing Transformation

• Dual Credit Policy (China) / Carbon Emission Regulations (Europe): The core of these policies is to set strict average fuel consumption or carbon emission targets for automakers. If they fail to meet these targets, automakers face heavy fines. To avoid fines, automakers must produce and sell a sufficient number of NEVs (positive credits) to offset the negative credits generated by their ICE vehicles. This forcefully "pushes" traditional automakers toward electrification from the supply side.
• ICE Vehicle Ban Timelines: The ban timelines set by various governments provide the clearest and most irreversible long-term expectation for the industry's development.

Geopolitical Factors:

• Energy Security: For countries and regions heavily dependent on oil imports, like China and Europe, developing electric vehicles is a national-level strategy to replace "oil security" with "electricity security."
• Supply Chain Security: In recent years, various countries have introduced policies encouraging the "localization" of core industry chains like batteries and chips, which could have a profound impact on the globalized supply chain landscape.

Oil Price Fluctuations: The Most Direct "Economic Calculation"

• High oil prices are the "best ally" of NEVs: When oil prices are high, the usage cost advantage of NEVs (electricity cost far lower than fuel cost) becomes extremely prominent. This directly stimulates a large number of price-sensitive consumers to switch from ICE vehicles to NEVs. The global oil price surge caused by the Russia-Ukraine conflict in 2022 significantly accelerated the global NEV penetration process.
• Low oil prices can delay the replacement process: Conversely, if oil prices remain low for an extended period, the economic advantage of NEVs weakens, which might delay the replacement process to some extent.

The Researcher's Perspective: Grasping the Main Contradictions

• Current Stage: The industry has moved past the "policy-driven" phase of complete reliance on subsidies and entered a market-driven phase driven by "product strength + economics." The role of policy is now more about setting a "floor" through regulations (like dual credit, carbon emissions) and providing "direction" through long-term strategies (like carbon neutrality).
• Continuous Tracking: It is necessary to closely monitor the latest developments in the energy policies, environmental regulations, and trade policies of major countries (China, US, Europe), and assess their potential impact on the industry chain and competitive landscape.

Section 8: Sentiment Indicators — Sensing the Industry's "Accelerator" and "Brake"

To stay ahead of financial reports, we need to build a high-frequency sentiment tracking system to sense the industry's "temperature" in real time.

Core Sentiment Indicators

"Volume" Indicators (Demand Side):

• Monthly Sales Data (Most Core):
  • Sources: China Passenger Car Association (CPCA), national automotive industry associations, company self-disclosures.
  • Analysis Dimensions:
    • Total sales YoY/QoQ growth rate: Determines the overall industry sentiment.
    • Sales ranking and share changes by brand/model: Determines the evolution of the competitive landscape.
    • BEV vs. PHEV mix: Determines technology roadmap preference.
• Weekly Insurance Registration Data: More timely than monthly data, allowing earlier detection of trend changes.
• Terminal Discounts and Order Backlogs: Through grassroots research (visiting stores, forums like Autohome), understand real-time discounts, order backlogs, and delivery lead times for various models. These are "capillary-level" indicators reflecting the true supply-demand relationship.

"Price" Indicators (Profit Side):

• Upstream Raw Material Prices:
  • Core Battery Materials: The price trends of lithium carbonate, lithium hydroxide, cobalt, and nickel directly determine battery costs and are the most critical variable affecting automaker gross margins. Requires weekly or even daily tracking.
  • Others: Prices of commodities like steel, aluminum, and chips, and components.
• Vehicle Prices:
  • Official MSRP: Track official price adjustment actions by automakers. Price cuts usually signal intensified competition or falling costs; price increases signal the opposite.
  • Used Car Residual Value Rate: A strong residual value is a manifestation of brand strength and product reliability, and in turn, influences the sale of new cars.

Leading and Coincident Indicators

Leading Indicators:

• New Model Launch Plans: The new model plans of various automakers for the next 1-2 years herald future product cycles and market competition focus. A successful "new model launch event" can itself become a catalyst for stock price movements.
• Technology Releases: For example, CATL's release of the Qilin battery, or Tesla's AI Day showcasing its autonomous driving progress. These signals of technological breakthroughs herald future product strength improvements.
• Policy Drafts or Briefings: Exposure drafts or official statements from relevant ministries before formal policy release are windows for anticipating policy direction.

Coincident/Supporting Indicators:

• Charging Station Count and Growth Rate: Reflects the completeness of energy replenishment infrastructure.
• Grid Load and Electricity Prices: In the long term, the carrying capacity of the power system and electricity price levels are constraints affecting EV adoption.
• Mainstream Tech Media Reviews and Social Media Buzz: Reflects the product's reputation and attention within professional and public circles.

The Researcher's Dashboard

A professional NEV industry analyst should have an Excel sheet or data terminal page on their computer that integrates:

• A chart of monthly NEV sales and penetration rates for global and major country markets.
• A dynamic chart of monthly sales rankings of major brands/models in the Chinese market.
• A price trend chart of core raw materials like lithium carbonate.
• An overlay chart comparing the stock prices of leading companies like Tesla and BYD with sales volumes and raw material prices.
• A calendar recording major new model launches and technology events over the next six months.

By continuously tracking and interpreting this "dashboard," you can stay well-informed about the industry's short-term fluctuations and long-term trends.

Chapter Summary: Building Your NEV Research "Cognitive Flywheel"

In this chapter, we have engaged in a thrilling practical exercise, fully applying the analytical framework established in the preceding eight chapters to the complex and fascinating NEV industry. Like experienced mechanics, we have systematically "disassembled" this future war machine called the "NEV."

1. We first used the "Industry Stage" perspective to position it in the steep growth phase of the S-curve, establishing an analytical tone of "growth priority."
2. We delved into the core of the "Business Model," discovering its evolution from "selling hardware" to an ecosystem model of "selling software + services," opening up entirely new value space.
3. We used the "Market Size" ruler to measure its vast trillion-dollar prospects, driven jointly by "replacement" and "creation."
4. We explored the "Moats" of the new era, recognizing that technology (three-electric, intelligence), brand (new perceptions), and scale (classic principles) are the three cornerstones that will determine future kings.
5. We examined the battlefield of "Competition and Profitability," painting a picture of a "clash of titans" between old and new forces, ultimately heading toward oligarchic monopoly.
6. We deconstructed its unique "Valuation Framework," understanding why "telescopes" like P/S and forward-looking valuation are needed to examine its future.
7. We analyzed "External Factors," seeing how the "hand of policy" and the "hand of the market" jointly drive this century-old transformation.
8. Finally, we established a "Sentiment" dashboard, learning how to sense the industry's pulse by tracking high-frequency "volume" and "price" data.

These eight links are interconnected, forming a dynamic, self-reinforcing "cognitive flywheel" for analyzing the NEV industry. Your understanding of the competitive landscape affects your assumptions about "market share" within the market size; your insight into the business model determines your judgment of the long-term "net profit margin"; and all of these ultimately converge in your conclusion about the company's "valuation." At the same time, the continuous inflow of sentiment data will, in turn, verify or correct these judgments.

Through this case study, we hope you will grasp not just knowledge about NEVs, but a "methodology" for putting theoretical frameworks into practice. Faced with any industry that interests you, you can try to apply this eight-step framework to build your own research system.

This is the transformation from a "learner" to a "researcher." In the final chapter of this book, we will return to the researcher themselves, exploring how to manage your information input, construct your research process, and ultimately form independent, insightful investment viewpoints.