Investors seeking technology exposure often evaluate specialized versus broad-sector ETFs to align portfolios with specific objectives. The iShares Expanded Tech-Software Sector ETF (IGV) and Vanguard Information Technology ETF (VGT) both deliver U.S.-focused technology equity exposure but pursue different strategies. IGV narrows its mandate to software and select interactive media companies, while VGT encompasses the full information technology sector, including semiconductors and hardware. These distinctions make the pair relevant for comparing thematic concentration against diversified sector participation in the current environment of ongoing technological innovation and capital allocation shifts.
The iShares Expanded Tech-Software Sector ETF (IGV) seeks to track the S&P North American Technology-Software Index, which measures the performance of North American equities primarily in the software industry along with select interactive media and services firms. The fund holds approximately 106 securities and maintains a passive indexing approach with market-cap weighting and periodic rebalancing. Top holdings typically include PANW, MSFT, PLTR, CRWD, and ORCL, with the top ten positions accounting for roughly 60% of assets. Sector allocation centers overwhelmingly on information technology, with application software representing about 53% and systems software around 43%. The expense ratio stands at 0.38%. This structure delivers targeted software-sector exposure with moderate concentration risk.
The Vanguard Information Technology ETF (VGT) tracks the MSCI US Investable Market Information Technology 25/50 Index, providing exposure to large-, mid-, and small-capitalization U.S. companies classified in the information technology sector. The fund contains approximately 324 holdings and employs a passive, market-capitalization-weighted methodology with quarterly rebalancing. Top holdings commonly feature NVDA, AAPL, MSFT, AVGO, and MU, with the top ten representing about 62% of assets. Nearly 99% of the portfolio resides in information technology, spanning semiconductors, hardware, software, and related services. The expense ratio is 0.09%. This construction supports broad, diversified participation across the technology landscape.
The technology sector continues to benefit from sustained demand for artificial intelligence infrastructure, cloud computing, cybersecurity, and digital transformation initiatives. Capital flows into both software platforms and semiconductor supply chains reflect enterprise and consumer adoption of advanced technologies. Regulatory developments around data privacy, export controls on advanced chips, and antitrust scrutiny of dominant platforms introduce ongoing considerations for sector participants. Macroeconomic drivers such as interest rate trajectories and corporate capital expenditure cycles influence investment pacing across hardware and software segments. Risks include supply chain disruptions, valuation compression in high-growth areas, and potential shifts in global technology spending patterns.
Over recent market cycles, IGV has exhibited greater sensitivity to software earnings trends and cybersecurity spending patterns, leading to periods of outperformance when those themes dominate investor focus. VGT has demonstrated more balanced behavior tied to broader technology demand, including semiconductor cycles and hardware innovation. Relative positioning shows IGV carrying higher concentration risk that can amplify volatility during software-specific rotations, while VGT’s wider holdings provide some buffering through diversified exposure. Both funds respond to common macro factors such as earnings growth in technology leaders and shifts in risk appetite, yet their distinct compositions result in differentiated drawdown profiles and recovery dynamics across varying market regimes.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors evaluating sector ETFs like IGV and VGT may find the tool useful for refining broader market scans.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favor to VGT. The ETF’s materially lower expense ratio, broader diversification across approximately 324 holdings, and comprehensive coverage of the information technology sector support more consistent risk-adjusted participation in sector momentum compared with IGV’s narrower software focus and higher costs. This assessment rests on cost efficiency, diversification profile, and relative positioning within prevailing technology trends rather than short-term performance outcomes.
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| IGV | VGT | IGV / VGT | |
| Gain YTD | -3.048 | 23.706 | -13% |
| Net Assets | 14.3B | 161B | 9% |
| Total Expense Ratio | 0.39 | 0.09 | 433% |
| Turnover | 20.00 | 8.00 | 250% |
| Yield | 0.02 | 0.38 | 5% |
| Fund Existence | 25 years | 23 years | - |
| IGV | VGT | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 85% |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 89% |
| Advances ODDS (%) | 22 days ago 86% | 13 days ago 87% |
| Declines ODDS (%) | 8 days ago 85% | 6 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 78% |
A.I.dvisor indicates that over the last year, IGV has been closely correlated with CRM. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if IGV jumps, then CRM could also see price increases.
| Ticker / NAME | Correlation To IGV | 1D Price Change % | ||
|---|---|---|---|---|
| IGV | 100% | -0.89% | ||
| CRM - IGV | 74% Closely correlated | -0.05% | ||
| ASAN - IGV | 70% Closely correlated | +1.88% | ||
| ESTC - IGV | 70% Closely correlated | -3.14% | ||
| DSGX - IGV | 69% Closely correlated | +0.33% | ||
| ZETA - IGV | 69% Closely correlated | -2.06% | ||
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A.I.dvisor indicates that over the last year, VGT has been closely correlated with ENTG. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if VGT jumps, then ENTG could also see price increases.
| Ticker / NAME | Correlation To VGT | 1D Price Change % | ||
|---|---|---|---|---|
| VGT | 100% | -1.69% | ||
| ENTG - VGT | 71% Closely correlated | -3.77% | ||
| CEVA - VGT | 71% Closely correlated | -4.68% | ||
| AMD - VGT | 70% Closely correlated | -3.49% | ||
| ONTO - VGT | 70% Closely correlated | -3.55% | ||
| RMBS - VGT | 68% Closely correlated | -4.57% | ||
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