Texas Instruments (TXN.US), a chip giant focused on analog chips and embedded processing solutions long regarded as a barometer for global chip demand, reported its latest quarterly results and future outlook after the U.S. market closed on Tuesday. While the Q4 results slightly missed market consensus, the company's management provided a stronger-than-expected revenue and profit forecast for the current quarter, signaling a robust recovery trajectory for analog chips and MCUs in large industrial equipment and automotive sectors. This marks a significant rebound from the "darkest period for analog demand" in 2023, with the eagerly anticipated strong recovery in analog chip demand driven by the如火如荼construction of AI data centers now materializing across the chip industry.
In a statement on Tuesday, Texas Instruments' management projected first-quarter total revenue to be between $4.32 billion and $4.68 billion. The midpoint of this outlook is slightly above the average analyst estimate of $4.42 billion. The company expects profits for the period to reach up to $1.48 per share, with an EPS forecast range of $1.22 to $1.48, significantly surpassing the average analyst expectation of approximately $1.26 per share at the midpoint.
For the fourth quarter, Texas Instruments reported total revenue of $4.42 billion, a 10% year-over-year increase, with earnings per share of $1.27. These figures fell slightly short of analyst expectations of $4.43 billion in revenue and $1.30 EPS, but were completely overshadowed by the dazzling strength of the company's forward-looking guidance.
Breaking down the Q4 performance, the company's core analog chip business generated revenue of $3.615 billion, representing a 14% year-over-year increase. The embedded processing solutions business, which includes MCU chips, saw revenue grow 8% to $662 million. Operating profits for both of these core businesses achieved double-digit growth.
The CEO of Texas Instruments announced that Q4 data center business surged by 70% year-over-year and stated that the company will soon begin reporting sales for the data center end-market separately. The company's latest optimistic outlook indicates that major customers have fully digested the massive inventory buildup of analog chips accumulated during the COVID-19 pandemic and have begun placing large-scale orders again—with orders related to AI data center analog chip business being the primary driving force.
During the earnings call with analysts, Texas Instruments CEO Haviv Ilan noted a significant increase in orders during the fourth quarter, particularly highlighting the strongest growth coming from AI data centers. "The market has been tight; we just need to see how the results play out," Ilan stated, citing the 70% revenue growth achieved by the company's data center business unit in the quarter ending in December.
Following the release of the earnings report, propelled by the strong performance outlook, Texas Instruments' stock price surged approximately 10% in after-hours trading. Investors are clearly beginning to bet on the robust demand for analog chips fueled by the booming development of AI data centers. Before the market close on Tuesday, the stock had already risen 13% year-to-date to $196.63, significantly outperforming the S&P 500 index, driven by expectations of a recovery in analog chip demand fueled by AI data centers.
This wave of optimism regarding analog chips also boosted the stock prices of other companies in the sector. For instance, the company's long-time competitor, Analog Devices, saw its stock rise over 5% in after-hours trading. Following the earnings release, veteran analyst Jay Goldberg from Seaport Group LLC remarked, "The recovery now seems to have finally begun, and it's strong." "It looks like they are catching up with this upturn cycle," he added. "For the first time in my memory, sales are starting to move forward significantly faster than inventory."
Tore Svanberg, an analyst from Stifel, commented, "The inventory adjustment that has plagued the industry for the past two years is largely complete, and we believe the company's growth will accelerate into 2026, driven by AI." Texas Instruments' strong revenue and EPS outlook underscore that the seemingly "endless" chip demand generated by AI training and inference under the unprecedented AI wave is successfully transferring from AI chips and memory chips to the analog chip segment. This is expected to strongly drive a robust recovery trajectory for leading analog chip companies like Texas Instruments, Microchip Technology, Analog Devices, and NXP Semiconductors.
For example, Texas Instruments' 48V hot-swap eFuse solutions, high-current point-of-load (POL) power delivery, and intermediate bus conversion are prime examples of strong growth driven by the data center sector. During the earnings call, CEO Haviv Ilan emphasized that while the data center business unit has historically been a smaller revenue contributor for the company, orders are now growing rapidly, driven by the accelerated expansion of AI training/inference scale, and it is beginning to make a significant contribution to overall revenue. He expects this strong growth trend to continue.
Recent semiconductor industry outlook data from the World Semiconductor Trade Statistics organization (WSTS) indicates that the global expansion of chip demand is expected to continue strongly into 2026. MCU chips and analog chips, which have experienced sustained weakness since late 2022, are also expected to enter a strong recovery curve. WSTS forecasts that after a strong rebound in 2024, the global semiconductor market will grow by 22.5% in 2025, reaching a total value of $772.2 billion, higher than its spring outlook. Building on this strong growth in 2025, the semiconductor market value is projected to expand significantly to $975.5 billion in 2026, approaching SEMI's projected market size target of $1 trillion by 2030, implying a potential year-over-year increase of approximately 26%.
WSTS stated that this trend of strong growth for two consecutive years will be primarily driven by sustained robust momentum in the logic chip sector, dominated by AI GPU/TPU, and the memory sector, led by HBM memory systems, DDR5 RDIMM, and enterprise data center SSDs. Both sectors are expected to achieve very strong double-digit growth, benefiting from continuously strong expansion demand in areas such as AI inference systems and cloud computing infrastructure.
Texas Instruments' core business—analog chips—converts real-world inputs into electronic signals and is used in fuel vehicles, electric vehicles, large-scale industrial intelligent equipment, and a wide range of other consumer electronics products. This has long made Texas Instruments' performance one of the important barometers for measuring the global macroeconomy, reflecting whether companies are confident about future sales growth. Particularly, manufacturers of factory equipment and automobiles order analog chip components well in advance, as the production of electronic components and final assembly can take months.
Although Texas Instruments' overall revenue has shown strong year-over-year growth—after being significantly suppressed by inventory surpluses the previous year—the timing of the recovery arrived much later than Wall Street had initially anticipated. The company's stock price had fallen significantly following each of its last four earnings reports, primarily because investors were still waiting for stronger signals of recovery.
Texas Instruments is the world's largest analog chip manufacturer and a critically important MCU chip maker. Its products perform simple yet vital functions and are used extremely widely across the globe, such as converting power to different voltages in electronic devices. More importantly, analog chips have become indispensable in recent years for various key functional modules and systems in electric vehicles, including power management, battery management, sensor interfaces, audio and video processing, and motor control. Analog chips convert real-world signals like sound, temperature, pressure, and current into the digital domain, supporting scenarios like automotive ADAS, industrial automation, IoT sensing, and smart grids. Analog ICs are difficult to replace and have long design cycles, creating long-term stickiness once adopted. MCUs act as the "brains of electronic devices," controlling logic and real-time computations, and are present in almost all networked or electromechanical systems. Texas Instruments' TI MSP430, C2000, and Arm-M series MCU products hold leading market shares in low-power and industrial real-time control applications.
Long holding the top position globally in analog chips with a market share of approximately 19%-20%, Texas Instruments also ranks among the top five globally in the MCU field, with a product line covering over 40,000 embedded devices. The company offers more than 80,000 analog, power, signal chain, and MCU products, supplying over 100,000 major customers and penetrating almost all end markets. This "ubiquitous" coverage leads Wall Street to refer to its quarterly results as a barometer for global semiconductor demand: changes in Texas Instruments' sales often presage the景气度of downstream industries.
In response to a prolonged earnings slowdown, this traditional U.S. semiconductor company headquartered in Dallas has slowed production at some of its analog chip factories to avoid accumulating excess inventory. As one of the oldest giants in the U.S. semiconductor industry, Texas Instruments is emerging from a period of massive investment in large-scale new factory construction within the United States, responding to the policy基调of the Trump administration's "chip manufacturing reshoring" while also actively navigating trade tensions sparked by Trump-era tariff threats. Contrary to trends in the broader semiconductor industry, the company has progressively reduced its reliance on outsourced chip production, aiming to bring the vast majority of its manufacturing capacity under its own control. In contrast, Fabless chip companies like NVIDIA, AMD, Broadcom, and Marvell choose to have foundries like TSMC manufacture nearly all of their chip orders.
From a cyclical perspective, the analog/industrial chain typically bottoms out later and begins restocking later than CPU, GPU, and DRAM/NAND memory products. Therefore, Texas Instruments' strong performance outlook and management's optimistic comments demonstrate that AI data centers are indeed "pulling analog demand up a notch," particularly for power and signal chain components. However, this growth manifests differently than the explosive shipments seen in GPUs/HBM; the incremental growth from the data center business will primarily be seen in power management/protection and monitoring analog devices. Compared to GPU/ASIC/HBM memory systems, analog devices for data centers, propelled by the如火如荼construction of global AI data centers, are more likely to exhibit a "broader, more stable, and longer-cycle" recovery rhythm.
Texas Instruments' long-standing competitor, Analog Devices, also pointed directly during its Q4 earnings call to "massive AI CapEx investments" driving record performance in its AI data center-related chip business, with some analog chip design and testing "at least doubling." Furthermore, its cable/data center business within the communications segment achieved consecutive year-over-year and quarter-over-quarter growth, strongly driven by AI training/inference demand. Like other major chip manufacturers such as TSMC, Samsung Electronics, and SK Hynix, Texas Instruments is eager to benefit from the unprecedented wave of large-scale new construction and expansion of AI data centers, which are essential large-scale infrastructure for the exponentially growing global AI computing resources.
The AI computing demand driven by generative AI applications and AI agents on the inference side is truly vast, promising to push the AI computing infrastructure market into sustained exponential growth. "AI inference systems" are also seen by Jensen Huang as the largest future revenue source for NVIDIA. According to Wall Street giants like Morgan Stanley, Citi, Loop Capital, and Wedbush, the global wave of investment in AI infrastructure, centered on AI chip computing power hardware, is far from over and is merely in its beginning stages. Driven by an unprecedented "storm of inference-side computing demand," this wave of AI infrastructure investment lasting until 2030 could reach a staggering scale of $3 trillion to $4 trillion. AI data centers represent the most core large-scale infrastructure projects of the AI era, crucial for the efficient operation of generative AI applications and the iterative更新of large AI models.
For analog chip leader Texas Instruments, the unprecedented scale of AI data center expansion and new construction initiated by tech giants like Microsoft, Google, Meta, and Amazon is set to catalyze a record-strong recovery cycle for analog chips, which have been on a trajectory of prolonged demand weakness since the end of 2022. The analog chip components closely related to the efficient operation of AI training/inference systems are the indispensable utilities of AI data centers. The analog product categories from which Texas Instruments is benefitting massively from the AI data center construction frenzy are primarily concentrated in the power delivery path and observability/protection. This represents the most direct and growth-resilient beneficiary direction for Texas Instruments within the global data center construction进程.
Driven by the common needs of AI data centers for "higher power density, larger currents, faster links, and stronger observability," Texas Instruments' signature product lines—including power management, high-speed interconnect signal chains, and monitoring/isolation—are poised to be the most direct and resilient beneficiaries. Specifically, massive AI training/inference workloads are pushing PSU and busbar power to new levels, driving significant increases in the value and demand for Texas Instruments' product lines related to front-end power conversion, hot-swap controllers, and isolation measurement. Furthermore, increasing board-level Vcore currents and steeper transients are driving the need for Texas Instruments' multi-phase controllers and high-current PoL solutions to scale up in tandem with the rising power consumption curves of GPUs/accelerator cards.