• The global industry was valued at US$ 537.7 Mn in 2022
• It is projected to grow at a CAGR of 5.2% from 2023 to 2031 and reach more than US$ 851.8 Mn by the end of 2031

Global Inflation Devices Market Snapshot

Attribute	Detail
Market Value in 2022	US$ 537.7 Mn
Forecast (Value) in 2031	US$ 851.8 Mn
Growth Rate (CAGR)	5.2%
Forecast Period	2023-2031
Historical Data Available for	2017-2021
Quantitative Units	US$ Mn for Value
Market Analysis	It provides segment analysis as well as regional level analysis. Furthermore, qualitative analysis includes drivers, restraints, opportunities, key trends, Porter’s Five Forces analysis, value chain analysis, and key trend analysis.
Competition Landscape	Market share analysis by company (2022) Company profiles section includes overview, product portfolio, sales footprint, key subsidiaries or distributors, strategy & recent developments, and key financials
Format	Electronic (PDF) + Excel
Market Segmentation	Display Type Analog Inflation Devices Digital Inflation Devices Pressure Capacity 20 ml Inflation Devices 30 ml Inflation Devices 60 ml Inflation Devices Function Balloon Angioplasty Arterial Stent Placement Endoscopy Others Application Coronary Interventions Urology Gastroenterology Peripheral Interventions Others End-user Hospitals Specialty Clinics Ambulatory Surgery Centers
Regions Covered	North America Latin America Europe Asia Pacific Middle East & Africa
Countries Covered	U.S. Canada Germany U.K. France Italy Spain China India Japan Australia & New Zealand Brazil Mexico South Africa GCC Countries
Companies Profiled	Atrion Medical BD Lepu Medical Technology (Beijing) Co., Ltd. Merit Medical Systems Translumina Advin Health Care Dolphin Life Science India LLP Boston Scientific Corporation Acclarent, Inc. (Johnson & Johnson MedTech) B. Braun Interventional Systems Inc. CONMED Corporation Cook Medical
Customization Scope	Available upon request
Pricing	Available upon request

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

South African monthly The FTSE/JSE All Share Index data was procured from Bloomberg and the nominal effective exchange rate (NEER) from South African Reserve Bank (SARB) database, where the data has been seasonally adjusted specifying 2015 as the base year. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. South African monthly consumer price index (CPI) data was procured from the International Monetary Fund’s International Financial Statistics (IFS) database, where the data has been seasonally adjusted, specifying 2010 as the base year. The inflation rate is constructed by taking the year-on-year changes in the monthly CPI figures. Inflation uncertainty was generated through the GARCH model in Eviews software. The following South African macroeconomic variables were procured from the SARB: real industrial production (IP), which is used as a proxy for real GDP, real investment (I), real consumption (C), inflation (CPI), broad money (M3), the 3-month treasury bill rate (TB3) and the policy rate (R), a measure of U.S. EPU developed by Baker et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation (EMVMACROINFLATION) from Jan 1985 to Jun 2025 about volatility, uncertainty, equity, inflation, and USA.

The source forecast that, in 2023, the cost of advertising on digital videos in Argentina will increase by an average of ** percent. The medium's average inflation rate in Turkey and Taiwan will reach ** and ** percent that year, respectively.

Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This statistic shows the average inflation rate in the emerging market and developing economies from 2020 to 2024, with projections up until 2030. In 2024, the average inflation rate in the emerging market and developing economies amounted to about 7.74 percent compared to the previous year.

The global automatic tire inflation system (ATIS) sales were recorded at USD 1.8 billion in 2020. This figure is estimated to rise to USD 2.4 billion by 2025. Over the forecast period through 2035, the market is projected to reach USD 4.1 billion, exhibiting a compound annual growth rate (CAGR) of 5.6%.

Metric	Value
Industry Size (2025E)	USD 2.4 billion
Industry Value (2035F)	USD 4.1 billion
CAGR (2025 to 2035)	5.6%

Country-Wise Analysis

Country	CAGR (2025 to 2035)
United States	5.4%

Country	CAGR (2025 to 2035)
United Kingdom	5.3%

Country	CAGR (2025 to 2035)
Germany	5.8%

Country	CAGR (2025 to 2035)
Japan	5.7%

Country	CAGR (2025 to 2035)
South Korea	5.6%

Competitive Outlook

Company Name	Estimated Market Share (%)
Dana Incorporated	12-18%
SAF-Holland	10-15%
Michelin	9-13%
The Goodyear Tire & Rubber Company	7-12%
Hendrickson USA	5-9%
Other Companies	40-50%

The source forecast that, in 2023, the cost of digital display advertising in Argentina will increase by ** percent, on average. The medium's average inflation rate in Turkey and Taiwan will reach ** and ** percent that year, respectively.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Inflation: Friend or Foe to the Stock Market?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Inflation Devices Market report segments the industry into By Display Type (Analog Display, Digital Display), By Application (Interventional Cardiology, Interventional Radiology, Peripheral Vascular Procedures, Gastroenterology Procedures, Urology Procedures, Other Applications), By End User (Hospitals and Clinics, Ambulatory Surgical Center, Other End Users), and By Geography (North America, Europe, Asia-Pacific, and more).

This data package includes the underlying data to replicate the charts, tables, and calculations presented in Labor market tightness and inflation before and after the COVID-19 pandemic, PIIE Working Paper 24-23.

If you use the data, please cite as:

Bloesch, Justin. 2024. Labor market tightness and inflation before and after the COVID-19 pandemic. PIIE Working Paper 24-23. Washington: Peterson Institute for International Economics.

This paper exploits the term structure of interest rates to develop testable economic restrictions on the joint process of long-term interest rates and inflation when the latter is subject to a targeting policy by the central bank. In an empirical application to the Canadian inflation target zone, results indicate that financial markets perceive the band to be of approximately the same width as announced but asymmetrically distributed around the official target. This finding suggests that, in practice, the monetary authority might attach different weights to positive and negative inflation deviations from the target.

Graph and download economic data for Real market-based PCE excluding food and energy (DISCONTINUED) (DPCXRL1M225NBEA) from Feb 1987 to Jun 2015 about market-based, core, PCE, consumption expenditures, consumption, personal, real, inflation, rate, and USA.

Graph and download economic data for Longer Run FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Central Tendency, High (PCECTPICTHLR) from 2009-02-18 to 2025-06-18 about projection, PCE, consumption expenditures, consumption, personal, inflation, rate, and USA.

Iceland Breakeven Inflation Rate: Bond Market: 5 Year data was reported at 3.300 % in Dec 2024. This records a decrease from the previous number of 3.800 % for Sep 2024. Iceland Breakeven Inflation Rate: Bond Market: 5 Year data is updated quarterly, averaging 3.360 % from Mar 2003 (Median) to Dec 2024, with 88 observations. The data reached an all-time high of 7.531 % in Dec 2008 and a record low of 1.900 % in Jun 2020. Iceland Breakeven Inflation Rate: Bond Market: 5 Year data remains active status in CEIC and is reported by Central Bank of Iceland. The data is categorized under Global Database’s Iceland – Table IS.I018: Breakeven Inflation Rate (BEI). [COVID-19-IMPACT]

This dataset holds valuable insights that can be leveraged by researchers, analysts, and policymakers to better understand the complex interactions between financial markets and food price inflation. Here are some potential insights that users could gain from this dataset:

Market-Food Price Correlation: By examining the relationship between financial market data (Open, High, Low, Close) and food price inflation, users can identify potential correlations. For example, they may uncover patterns where food price inflation impacts market sentiment or vice versa.

United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data was reported at 0.002 % in 12 May 2025. This stayed constant from the previous number of 0.002 % for 05 May 2025. United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 1.566 % in 05 Aug 2024 and a record low of 0.000 % in 28 Apr 2025. United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.

It is widely acknowledged that the Fed can control the average inflation rate over a period of time reasonably well. Because of this and the Federal Open Market Committee's (FOMC's) long-standing commitment to price stability, the author argues that the FOMC has an implicit long-run inflation objective (LIO) lower and upper bounds to the long-run inflation rate. He shows that the statements made by the FOMC in 2003 clarified the lower bound of its LIO and that the average of long-run inflation expectations responded by rising about 80 basis points. Moreover, consistent with reducing the market's uncertainty about the FOMC's LIO, long-run inflation expectations became more stable. The FOMC has recently been more specific about the upper bound of its LIO as well. The FOMC could eliminate the remaining uncertainty by establishing an explicit, numerical inflation objective.

Core Inflation Nowcast: sa: Contribution: Labour Market: Private Sector Payroll: Financial Activities data was reported at 0.022 % in 12 May 2025. This stayed constant from the previous number of 0.022 % for 05 May 2025. Core Inflation Nowcast: sa: Contribution: Labour Market: Private Sector Payroll: Financial Activities data is updated weekly, averaging 0.048 % from Apr 2018 (Median) to 12 May 2025, with 369 observations. The data reached an all-time high of 14.165 % in 01 Jul 2019 and a record low of 0.000 % in 22 Jan 2024. Core Inflation Nowcast: sa: Contribution: Labour Market: Private Sector Payroll: Financial Activities data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Core.