GET DAILY SIGNALSIGV vs SMH: Weighing Software and Semiconductor ETFs for Tech Exposure
Key Takeaways
- Different ends of the technology stack: IGV concentrates on software, cloud, and cybersecurity names, while SMH is a pure-play semiconductor and chip-equipment portfolio.
- Concentration differs sharply: IGV spreads across roughly 113 holdings, whereas SMH holds only about 26–27 companies, making SMH far more top-heavy.
- Cost structure: SMH charges a 0.35% expense ratio, slightly lower than IGV's 0.38%, though both are passive index-trackers.
- Performance drivers diverge: IGV is driven by software demand, subscription growth, and AI adoption in applications, while SMH is tied to semiconductor cyclicality, AI hardware spending, and memory pricing.
- Risk profiles differ: SMH carries greater single-stock and cyclical risk, while IGV offers broader diversification but is also considered non-diversified by design.
The Case for Comparing These Two Tech ETFs
Investors looking for technology exposure often weigh the iShares Expanded Tech-Software Sector ETF (IGV) against the VanEck Semiconductor ETF (SMH). Both are passively managed exchange-traded funds that sit within the broader information technology complex, yet they target entirely different links of the value chain. IGV owns the software companies that build applications and platforms, while SMH owns the chipmakers and equipment suppliers that manufacture the hardware underpinning those applications. This ETF comparison matters now because the AI buildout is simultaneously lifting software monetization and semiconductor demand, making their relative positioning a key decision point for investors weighing sector exposure, cost, and risk.
A Closer Look at the IGV ETF
IGV tracks the S&P North American Expanded Technology Software Index, a market-cap-weighted benchmark of U.S. and Canadian software companies plus select interactive media and services firms. The fund is non-diversified and holds roughly 113 positions, though its top ten names account for more than half of assets. Top holdings have recently included PLTR (Palantir Technologies), PANW (Palo Alto Networks), MSFT (Microsoft), CRWD (CrowdStrike), ORCL (Oracle), CRM (Salesforce), NOW (ServiceNow), and FTNT (Fortinet).
Sector allocation is dominated by technology at roughly 94%, with smaller exposure to communication services and financial services. With a 0.38% expense ratio and an inception date of 2001, IGV offers a liquid, low-turnover vehicle for capturing enterprise and consumer software growth, cloud migration, and cybersecurity demand. When screening for comparable names, Tickeron’s AI Screener helped highlight how these holdings line up against peers.
A Closer Look at the SMH ETF
SMH tracks the MVIS US Listed Semiconductor 25 Index, a market-cap-weighted index of the 25 largest U.S.-listed semiconductor companies, including American depositary receipts. The portfolio holds roughly 26–27 names, and its top ten positions typically represent more than two-thirds of assets. Top holdings have recently included NVDA (NVIDIA), TSM (Taiwan Semiconductor Manufacturing), AVGO (Broadcom), AMD (Advanced Micro Devices), MU (Micron Technology), TXN (Texas Instruments), AMAT (Applied Materials), and ASML (ASML Holding).
By industry, the fund is heavily weighted to semiconductors at about 75%, with roughly 20% in semiconductor materials and equipment and a small slice in application software. SMH charges a 0.35% expense ratio and has traded since 2000. Its defining trait is extreme concentration in a handful of mega-cap names, particularly NVIDIA, which has often exceeded 20% of the portfolio.
The Broader AI and Tech Landscape
Both funds sit at the center of the artificial intelligence investment cycle, but they respond to different forces. SMH is levered to hardware capital expenditure: hyperscaler spending on data centers, demand for GPUs, memory pricing, and fabrication capacity are its primary catalysts. Regulatory scrutiny of semiconductor supply chains, geopolitical tension around chip manufacturing, and export controls on advanced processors remain persistent risks.
IGV, by contrast, is tied to the software side of AI adoption, including cloud migration, cybersecurity spending, and the monetization of AI-powered applications. Its performance is more closely linked to recurring revenue growth, subscription renewals, and enterprise technology budgets. Macroeconomic drivers such as interest rate expectations influence both funds, but valuations in software have historically been more sensitive to changes in long-term rates, given their growth-oriented profiles and elevated price-to-earnings multiples.
How Performance and Risks Stack Up
Over recent weeks and recent market cycles, the two funds have demonstrated meaningfully different volatility and return characteristics. SMH has tended to exhibit sharper swings, reflecting the semiconductor industry's cyclicality and its heavy reliance on a few mega-cap names. Periods of strong AI hardware demand and memory upcycles have historically powered sharp gains, while inventory corrections or capex fears have triggered rapid drawdowns.
IGV has generally offered a steadier, more diversified path, though it is far from low-risk. Its performance has tracked enterprise software demand, cloud adoption, and cybersecurity tailwinds more closely than hardware cycles. Sector rotation between hardware and software leadership has been a recurring theme, and investors should expect the relative positioning of these two funds to shift as AI spending matures and earnings cycles at their top holdings diverge.
My Take on the AI-Driven Outlook
Based on structural strength, diversification profile, and relative risk, Tickeron's AI would likely favor IGV in environments where breadth, steady earnings, and lower single-name concentration are priorities. IGV's broader holdings base and software-driven revenue streams reduce the idiosyncratic risk that comes with SMH's heavy mega-cap weighting. That said, during periods when AI hardware demand and semiconductor momentum are the market's dominant theme, SMH's concentrated exposure could offer greater upside capture. The probabilistic verdict, therefore, depends on the prevailing trend regime: a momentum-led, hardware-driven tape may favor SMH, while a broader, more diversified technology advance may favor IGV.
Incorporating AI Tools into My ETF Research
In my research process, I frequently use Tickeron’s AI Screener to filter ETFs and individual names by technical patterns, fundamentals, and AI-driven signals. It allows quick comparisons across sectors and helps surface ideas that align with the current market regime, making the IGV versus SMH analysis more efficient.
Disclaimer
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
IGV sees its Stochastic Oscillator ascending out of oversold territory
On October 21, 2026, the Stochastic Oscillator for IGV moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 59 instances where the indicator left the oversold zone. In 53 of the 59 cases the stock moved higher in the following days. This puts the odds of a move higher at over 90%.
Technical Analysis (Indicators)
Bullish Trend Analysis
IGV moved above its 50-day moving average on October 19, 2026 date and that indicates a change from a downward trend to an upward trend.
Following a +2.67% 3-day Advance, the price is estimated to grow further. Considering data from situations where IGV advanced for three days, in 299 of 349 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.
The Aroon Indicator entered an Uptrend today. In 220 of 264 cases where IGV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 83%.
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on October 16, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on IGV as a result. In 64 of 81 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 79%.
The Moving Average Convergence Divergence Histogram (MACD) for IGV turned negative on October 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In 45 of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where IGV declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 84%.
IGV broke above its upper Bollinger Band on October 09, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
Notable companies
Industry description
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Advertisement
General Information
Category Technology
Advertisement