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China could outspend the U.S. on R&D by 30%‑plus by 2030—even if the trade war roars on

By Brian Buntz | April 25, 2025

U.S. dollar values, PPP‑adjusted (2020 base). The U.S. dip beginning in circa FY2027 tracks the scheduled sunset of the CHIPS Act, legislation (which Trump says he will repeal) and the effect of proposed 55% cuts to the National Science Foundation budget.

Run the numbers 1,000 ways, and the outcome never flips: China overtakes the United States on PPP-adjusted R&D spending well before 2030. Our 1,000-run Monte Carlo model, seeded with OECD and World Bank data, puts the narrowest gap at 30%, the median at 58% when considering recent cuts to the National Science Foundation. Tariff hikes, CHIPS-Act freezes or an unexpected trade truce nudge the curve but never change the ranking. In the middle lane China’s 2030 bill reaches about $1.45 trillion. America’s spending lands at roughly $864 billion (down from $924 billion in our baseline scenario without NSF cuts), which equates to a $586 billion spread. That spread alone is larger than Germany’s entire research budget, which was estimated at roughly $132 billion to $154 billion PPP in recent years.

For the sake of comparison, even the 30% conservative figure is more pronounced than earlier baseline projections. Feeding data from other projections into our Monte Carlo approach while harmonizing everything to 2020 PPP dollars leads to a spread of roughly 9% to 19% spread depending on the model. Why is that? Because those earlier baselines use pre‑2023 inputs and older PPP deflators while assuming steadier U.S. growth. Even when omitting tariff shocks and exploring a range of CHIPS Act scenarios, the projected gap at 2030 looks broadly similar.

[Note: Updated on April 25 with NSF historical data and modeling of proposed 55% NSF budget cut impacts. Analysis now incorporates declining federal R&D share (18.3% as of 2023, decreasing 3.9% annually)]

Shifting fortunes

China’s all but drawn even. Now what?

a circuit board within China

[Image sources: Adobe Stock]

The latest data tend to show the U.S. slightly ahead entering the forecast period, but ITIF entertains the possibility that China may have already pulled ahead. WIPO’s end-of-year 2024 analysis estimates 2023 GERD (in constant 2015 PPP USD) at $784 billion for the U.S. and $723 billion for China [10]. Major trackers converge on a mid-decade hand-over. OECD’s March 2025 flash (Dataset: MSTI 2025‑03) shows China’s 2023 GERD already at 96% of U.S. output (PPP), growing 8.7% real to America’s 1.7%.While ITIF pegs the crossover around 2025, the earlier Battelle-R&D World 2014 forecast [PDF] had anticipated 2022.A more cautious Science and Technology Action Committee (STAC) memo pushes the date to 2027 if U.S. public science stalls. Beijing’s strategic ambitions are clear; its Innovation-Driven Strategy outlines long-term goals, and the 14th Five-year Plan (2021–2025) targeted average annual R&D spending growth of at least 7% (as noted by the Hinrich Foundation). China’s R&D intensity reached 2.68% of GDP in 2024, underscoring its continued investment drive. Looking beyond the 2030 hand‑over, one heavyweight forecast points to an even wider gulf. Angang Hu of Tsinghua University projects in Springer Nature Link that China’s R&D bill could hit about 1.8× the U.S. total by 2035 when measured in constant‑2017 PPP dollars (converted in our model to 2020 base). His calculation assumes Beijing maintains average annual real growth of roughly 7% through 2025 and then eases toward 4% by the mid‑2030s. Even after adjusting that figure to the 2020 PPP base used elsewhere in this report, the implied gap remains comfortably north of +70%—underscoring how far the two trajectories could diverge if current patterns hold.Meanwhile The Diplomat, citing research from the American Academy of Arts and Sciences and Rice University’s Baker Institute for Public Policy, noted China will be the largest economy based on GDP by 2030. Given its rapid investment trajectory, combined with its growing economic scale, makes it probable that China’s total R&D spending will significantly exceed that of the U.S.

U.S. public research faces significant drag. FY2025 House drafts hold NSF at more than 40% below CHIPS authorizations, and insiders warn of potential 25% to 50% staff cuts. NSF’s new-grant count is already down 50% compared to a year ago, according to Science magazine. President Trump’s March 4 joint-session speech urged Congress to “get rid of the CHIPS Act.” Analysts note repeal is unlikely, but even a funding freeze would widen China’s lead.

In the worst-case path the gap balloons to 95%. That number sits on the far rim of the fan chart. Five of our 1,000 simulations land there. All five share the same recipe: China keeps double-digit real growth, U.S. grant freezes drag on, and tariff shocks shave another slice off corporate R&D. Rather than inventing new variance, the model here simply lets those low-probability combinations play out. Even the “floor” run still leaves China one-third ahead, but the tail reminds us how wide the spread could grow if every break goes Beijing’s way.

U.S. giants still unmatched in terms of scale

While China is on a path to become the biggest R&D spender once you adjust for purchasing power, the largest corporate R&D checks still come from the West. Even China’s biggest private lab, Huawei invested roughly $23 billion in 2023, which equates to less than half of Amazon’s estimated $59.8 billion (its broader technology and content expenses for 2023 were $76.9 billion) and about half of Alphabet’s $48.4 billion (FY 2023).

The corporate picture is even more lopsided than the country totals. The 2024 EU Industrial R&D Investment Scoreboard lists 681 U.S. companies among the world’s 2,000 biggest investors and 524 from China, but the cash is stacked at opposite ends of the table, according to the EU Scoreboard. Twenty‑three of the 30 largest R&D check‑writers are American—Amazon ($85.6 billion), Alphabet ($45.4 billion) and Merck ($30.5 billion) lead the pack—while China manages just one entry, Huawei at No. 8 with about $23 billion, per R&D World’s coverage. Tencent, the next Chinese name, spent roughly $10 billion, good for the mid‑30s on the same list, according to Reuters.

In other words, U.S. fire‑power sits in a handful of tech‑ and pharma‑heavy giants, whereas Beijing’s muscle is spread across a swelling cohort of mid‑sized hardware, auto and clean‑energy players bracketed just below the top tier, according to the EU Scoreboard. That long tail is growing faster, too: Chinese firms outside the global top 50 lifted real R&D outlays about 10% last year, versus roughly 6% for their U.S. peers, according to the EU Scoreboard. If that cadence holds, the head‑count gap at the very top will narrow even as China’s broader base continues to thicken.

Chart comparing estimated R&D spending of top tech companies like Amazon, Alphabet, and Huawei

Amazon doesn’t break down its R&D spending in a traditional manner. Thus, the figure here uses an R&D World estimate.

Headwinds on both sides of the Pacific

Beyond 2030, not everyone is convinced China can keep the throttle wide-open. Science | Business points out that “a faltering Chinese economy and plummeting birth-rates have driven a conversation over whether the world has reached ‘peak China,'” a debate now spilling into R&D as well. The U.S. National Intelligence Council’s Global Trends 2040 report similarly acknowledges that China’s long-term growth could moderate, pointing to the international system growing “more contested” while Beijing continues to confront demographic and debt headwinds. Conversely, the U.S. is hardly demographically bullet-proof. The U.S. population is aging and the government intends to clamp down on immigration. On the first day of his new term, President Trump signed the “Securing Our Borders” order, reviving “Remain in Mexico” and instructing DHS to end most categorical parole programs. Choosing to throttle immigration like this means fewer future workers just as the Census Bureau projects that one-fifth of Americans will be over 65 by 2030 and the CDC pegs the fertility rate at around 1.62 — well below replacement. In short, both superpowers face shrinking talent pools; China’s comes from its one-child past, the U.S. from choosing to throttle immigration even as births slump.

Why the gap matters

U.S. headline still looks big—but the federal core is shrinking. Corporate labs are on pace to push total U.S. R&D close to *$1 trillion in 2025* (building from $886 billion in 2022 according to PPI and projecting to $1.2 trillion by 2027 in *R&D World’s* forecast). Yet federal science is being squeezed: the Trump administration has frozen new NSF awards, NSF’s new-grant count is down 50% versus a year ago, according to *Science*, and a draft 2026 budget floats a 40% cut to NIH, as *Science* noted separately. Federal GERD has slipped to 0.55% of GDP—its lowest share since the 1950s.

Our earlier simulation shows proposed tariff hikes could chop roughly –30% off auto R&D in the first year and push semiconductor research budgets into double-digit decline, as an *R&D World* model found. Meanwhile, Beijing logged ¥3.6 trillion (≈ $500 billion, PPP 2020) in 2024 R&D, representing +8% year-on-year growth, and filed a record 70,160 Patent Cooperation Treaty (PCT) patent applications, according to WIPO. The latest OECD release shows China’s public-sector research spend is already 1.6 times the U.S. level and still climbing while U.S. public outlays contract, wrote OECD.

How sensitive is the forecast?

How we ran the 1,000 what-ifs

Our model uses Vector Autoregression with Exogenous Variables (VARX) on OECD data (2000–2023) to capture the relationship between R&D spending and economic factors. We then ran 1,000 Monte Carlo simulations to stress-test different scenarios while cross-referencing against, including:

  • Baseline GDP growth trajectories
  • Trade war escalations (–0.8% US GDP, –1.5% China GDP annually)
  • Tariff reductions (+0.3% US GDP, +0.7% China GDP boost)
  • CHIPS Act impacts on semiconductor R&D

Read more in the methodology FAQ

We benchmarked our model against SpringLink’s The Great Leap Development and Outlook of China’s Scientific and Technological Strength (2000–2035), and re-ran the model two ways: a fat-tailed Student’s t version that allows bigger shocks, and a Five-year Plan-conservative run that locks China to its 14th Five-year Plan target of 7% real R&D growth through 2025 before letting the stochastic engine take over. Both land squarely inside the original cone: the Student’s t median gap is +60%, while the conservative path still shows approximately +63% China-over-U.S. in 2030. The takeaway: even after taming the growth assumptions or fattening the tails, China’s lead never falls below one-third.

China’s breadth vs. America’s height. The 2024 EU Industrial R&D Investment Scoreboard shows 524 Chinese companies in the global top 2,000—just shy of America’s 681. But only five Chinese names crack the top 50, while 22 are American. In short, the U.S. still writes the big checks, but China fields an army of mid‑tier spenders. That bench strength matters: Chinese enterprises now fund 79% of the nation’s total R&D bill, so Beijing’s momentum is powered less by a handful of tech titans than by hundreds of Suzhou‑ and Shenzhen‑based firms.

Note: The models below were generated before taking into account the National Science Foundation cuts. The top image and the above text now bake in the proposed 55% cut.

Comparison chart showing R&D projection models: Gaussian base vs Student's t distribution vs Five-year Plan conservative plots

Comparison of the Gaussian base model versus Student’s t distribution and Five-year Plan conservative plots

Methodology FAQ (▼ Click to expand)

What methodology did you use? We fit a Vector Autoregression with Exogenous factors (a work-horse ML regression) on 2000–2023 data sourced from OECD’s Main Science and Technology Indicators (MSTI database) merged with data from the World Bank, then let a Monte Carlo routine explore 1,000 plausible futures.

What kind of data did you use? We kept the data plumbing simple: OECD’s PPP-adjusted GERD, 2020 base; World Bank’s “R&D % of GDP,” converted to dollars with each country’s GDP. Fills the few OECD gaps; World Bank real-GDP growth rates for the U.S. and China, fed into the VARX to capture macro shocks. In short: OECD for the headline R&D spend; World Bank for GDP growth and any missing data points.

Why does the Springer/Tsinghua line sit well below our median?
Angang Hu’s chapter (Springer, June 2023) is already post‑COVID and uses 2020/21 data in constant‑2017 PPP $. Converting those figures to our 2020 PPP basis (+6% deflator) and running his 7.3% real‑growth path through our VARX—with no CHIPS taper on the U.S. side—yields a +46% China lead in 2030 and reproduces his headline +78% (1.78×) by 2035. Our status‑quo branch keeps China closer to its recent 8–9% real pace and layers in a CHIPS fade, widening the 2030 gap to roughly +60%–75%. Anything lower than +46% only appears if we either strip out the 2022–23 surge or override the model’s coefficients.

How did you reconcile forecasts that use different PPP base years? Short answer: We convert every legacy figure to constant‑2020 international‑dollar PPP before it enters the model. For sources that sit on a 2017 PPP base (e.g., Angang Hu) we multiply by 1.06—the cumulative U.S. GDP‑deflator change between 2017 and 2020. WIPO’s 2015‑base series, or any other vintage, gets the same treatment with its own deflator. That single normalization step removes the “apples‑to‑oranges” inflation wedge and lets the Monte‑Carlo engine compare like with like.

Why use PPP instead of raw dollars? PPP levels the playing field: a lab microscope costs less in Shanghai than in Boston. In nominal terms the U.S. looks nearly two times larger; under PPP the gap all but disappears.

Only one lag in the model—seriously? Yes. AIC (Akaike Information Criterion), BIC (Bayesian Information Criterion) and HQIC (Hannan-Quinn Information Criterion) all pick VARX; more lags add noise without boosting out-of-sample accuracy. Mean Absolute Percentage Error was ≈ 2.4%.

What makes the “95%” tail outcome so high? It combines rare but not impossible conditions: China keeps 10% real GERD growth, U.S. freezes NSF grants, and tariff shocks shave 0.5 percentage points off corporate R&D each year. Only five of 1,000 paths hit that stack.

Did you use AI in this forecast? Yes, a trio of large language models: Claude 3.7 Sonnet, Gemini 2.5 Pro, and OpenAI’s o3 model helped with the Python but not the fetching of the raw data to safeguard against hallucinations. The data in the models was all sourced directly from official sources — via manual download for OECD and via the API for World Bank data.

What did you do to ensure statistical rigor? Every run passes a three-layer validation: As alluded to earlier, the model used lag order search: AIC, BIC and HQIC test up to six lags and auto-select the best (usually p = 1). It also used residual checks. Ljung-Box for autocorrelation and Shapiro-Wilk / Jarque-Bera for normality; warnings print to the log and halt the run in command line. Out-of-sample back-test: we refit on 2000–18, forecast 2019–23, and score RMSE, MAE, MAPE (≈ 2.4%), plus prediction-interval coverage. We set up an autosave mechanism to capture every hyper-parameter and support audit trails. Beside the Monte‑Carlo fan we re‑ran companion deterministic tracks. All clear the same validation gates (≤ 3% MAPE; ≥ 90% PI coverage) and still deliver China leads in 2030 ranging from +9% to +19% on a level basis.

Other scenarios for comparison normalized to 2020 PPP

Chart showing conservative R&D spending projection path based on STAC 2024 memo

Conservative path. Tracks the Science & Technology Action Committee’s 2024 memo (≈ 7% real CN growth tapering to 6%; steady 3% US). Crossover appears in 2027 and delivers a +9% China lead in 2030 (PPP 2020 $).

Chart showing median R&D spending projection path from 1,000 Monte Carlo simulations

Monte‑Carlo median branch. Median of 1,000 VARX simulation runs (includes tariff noise and CHIPS ramp‑and‑fade). China passes the US in 2026; the central estimate for 2030 is +12%. Note: The dashed line doesn’t precisely intersect the crossover because it is positioned at the start of the nearest year.

Chart showing fast-growth R&D projection path replicating Le Monde/Duncan 2021 forecast

“Le Monde 2021” fast‑growth reprise. Replicates the 2021 Le Monde / R. Duncan projection (approximately 10% nominal CN CAGR; 3 % US). Shows a +19% gap by 2030 and an earlier 2025 crossover.

Chart showing R&D projection path based on Angang Hu's 2035 target

Hu 2035 straight‑line to the 1.78× target. Imposes Angang Hu’s 7.3% real CAGR for China (with 3% US) to hit his 2035 1.78× ratio. Line‑draw gap is +15% in 2030 (roughly +46% on a ratio basis); crossover in 2026.

Chart showing conservative R&D spending projection path based on STAC 2024 memo

Conservative path. Tracks the Science & Technology Action Committee’s 2024 memo (≈ 7 % real CN growth tapering to 6 %; steady 3 % US). Crossover appears in 2027 and delivers a +9 % China lead in 2030 (PPP 2020 $). Note: The dashed line doesn’t precisely intersect the crossover because it is positioned at the start of the nearest year

Chart showing median R&D spending projection path from 1,000 Monte Carlo simulations

Monte‑Carlo median branch. Median of 1,000 VARX simulation runs (includes tariff noise and CHIPS ramp‑and‑fade). China passes the US in 2026; the central estimate for 2030 is +12 %. Note: The dashed line doesn’t precisely intersect the crossover because it is positioned at the start of the nearest year

Chart showing fast-growth R&D projection path replicating Le Monde/Duncan 2021 forecast

“Le Monde 2021” fast‑growth reprise. Replicates the 2021 Le Monde / R. Duncan projection (approximately 10 % nominal CN CAGR; 3 % US). Shows a +19 % gap by 2030 and an earlier 2025 crossover.

Chart showing R&D projection path based on Angang Hu's 2035 target

Hu 2035 straight‑line to the 1.78× target. Imposes Angang Hu’s 7.3 % real CAGR for China (with 3 % US) to hit his 2035 1.78× ratio. Line‑draw gap is +15 % in 2030 (roughly +46 % on a ratio basis); crossover in 2026.

Comparisons of other projections at a glance

Source Key projections & methodology Time period Notes / currency base
Battelle–R&D World Global R&D Funding Forecast (2014) Projection extrapolates recent growth trends from a 2013 baseline, using normalized (PPP) data for comparison. The document lists data sources (IMF, World Bank, OECD, surveys etc.) and mentions using IMPLAN for economic impact analysis  2014–2030 Converted here to 2020 PPP $ for comparability.
R&D World Forecast – 2018 edition PPP‑based trend chart; projects China to overtake the U.S. “by mid‑2026 or sooner,” with China’s annual increase ≥ 3× the U.S.; methodology described qualitatively. The report notes that it bases its “R&D forecasts for each country on economic forecasts and science and technology (S&T) survey data by the International Monetary Fund (IMF), the World Bank, the Organization for Economic Cooperation and Development (OECD), and the U.S. Central Intelligence Agency, along with multiple reader surveys.” primarily 2016–2018 Published in PPP; crossover mid‑decade.
R&D World Forecast – 2019 edition PPP-based projection extrapolating trends; projects crossover ‘no later than 2024,’ implying average growth rates differing significantly between China and the U.S.; specific long-term model assumptions not published. primarily 2017–2019 Nominal $; assumes listed CAGRs.
R&D World Forecast – 2020 edition Updates the PPP-based trend; projects crossover ‘no later than 2025,’ with the China/U.S. R&D spending ratio reaching about 0.925 in the 2020 forecast; underlying long-term projection model not disclosed. primarily 2018–2020 Nominal $; ± 0.5 pp variance noted.
R&D World Forecast – 2021 edition Forecasts China overtaking the U.S. in 2021 (PPP basis), reflecting ~8.2% Chinese vs. ~3.2% U.S. growth from 2020 estimates. The report notes the COVID-19 pandemic accelerated this crossover timeframe; specific model methodology not detailed. primarily 2019–2021 First explicit nominal crossover in series.
R&D World Forecast – 2022 edition Provides a 2022 forecast of GERD on a PPP basis, with the United States at $679 billion still leading China at $551 billion, though China’s share is growing. The forecast does not extend to 2030 or describe its methodology. primarily 2020 to 2022 Nominal $; details 2022 funding mix.
R&D World Forecast – 2024 edition 2024 R&D World Funding Forecast does not appear to make an explicit prediction about the year China’s R&D spending will surpass the U.S. It presents the current forecast data showing the U.S. lead in 2024 and acknowledges the ongoing competitive trend and China’s rapid growth in areas like patenting 2022–2024 Primarily a forecast for 2024
American Academy “Perils of Complacency” (2020) Shows U.S. vs. China R&D investment (billions of constant 2020 USD) using OECD PPP data. Contrasts China’s spending based on the OECD’s latest 2020 PPP factors with estimates using earlier factors. The update widens the 2018 gap; no new future projection based on the latest data is provided. 2020–2030 OECD PPP basis; rebased here to 2020 PPP.
Le Monde op‑ed (2021) Ratio narrative: asserts China could outspend the U.S. by about 40 % in 2030. 2021–2030 Statement of ratios; underlying series not published.
Science & Technology Action Committee memo (Dec 2024) Scenario based on the memo’s premise: “If both countries’ current rate of R&D spending growth continues,” it produces a crossover in 2027. Methodology is descriptive of the condition. (Note: Specific growth rates used for projection are not provided in the text). 2024–2030 Not provided
Hu Angang (Springer chapter) (2023) GDP-driven projection using stepped average annual growth rates for China: 5.5% (2021-25), decreasing to 4.5% (2030-35). This implies China’s per capita GDP reaching over 40% of the US level by 2035. 2025–2035 Constant‑2017 PPP; converted to 2020 PPP.
ITIF policy brief (Apr 2025) Uses 2023 GERD estimates plus a cost-efficiency adjustment multiplying China’s spending by 2.3x; cites historical average growth (2019-23) of ≈ 8.9% for China and 4.7% for the U.S. 2023–2030 Raw and “efficiency‑adjusted” views; rebased to 2020 PPP.

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