From January 2019 to June 2025, financial markets in India and Brazil outpaced developed markets, with India’s share price index more than doubling and Brazil also climbing sharply. In contrast, developed economies—the United States, Euro area, Germany, France, United Kingdom, and Japan—showed steadier, more moderate gains. Japan is an exception among developed countries, experiencing high volatility but ultimately trending upward. Also, China’s and Russia’s markets showed little growth, diverging from the success of other emerging peers. Most indices experienced a marked dip in early 2020, corresponding with the COVID-19 market shock, but recovered afterwards.

TT: Index: Share Price (End of Period) data was reported at 148.565 2010=100 in Jun 2018. This records a decrease from the previous number of 152.017 2010=100 for Mar 2018. TT: Index: Share Price (End of Period) data is updated quarterly, averaging 96.534 2010=100 from Mar 1991 (Median) to Jun 2018, with 110 observations. The data reached an all-time high of 152.308 2010=100 in Dec 2017 and a record low of 7.108 2010=100 in Mar 1993. TT: Index: Share Price (End of Period) data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.IMF.IFS: Share Price Index: Quarterly.

IR: Index: Share Price data was reported at 499.112 2010=100 in 2016. This records an increase from the previous number of 418.000 2010=100 for 2015. IR: Index: Share Price data is updated yearly, averaging 62.831 2010=100 from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 499.112 2010=100 in 2016 and a record low of 2.683 2010=100 in 1993. IR: Index: Share Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Iran – Table IR.IMF.IFS: Share Price Index: Annual.

Building materials made of steel, copper and other metals had some of the highest price growth rates in the U.S. in the first half of 2025 in comparison to the previous year. The growth rate of the cost of several construction materials was slightly lower than in late 2024. It is important to note, though, that the figures provided are Producer Price Indices, which cover production within the United States, but do not include imports or tariffs. This might matter for lumber, as Canada's wood production is normally large enough that the U.S. can import it from its neighboring country. Construction material prices in the United Kingdom Similarly to these trends in the U.S., at that time the price growth rate of construction materials in the UK were generally lower 2024 than in 2023. Nevertheless, the cost of some construction materials in the UK still rose that year, with several of those items reaching price growth rates of over **** percent. Considering that those materials make up a very big share of the costs incurred for a construction project, those developments may also have affected the average construction output price in the UK. Construction material shortages during the COVID-19 pandemic During the first years of the COVID-19 pandemic, there often were supply problems and material shortages, which created instability in the construction market. According to a survey among construction contractors, the construction materials most affected by shortages in the U.S. during most of 2021 were steel and lumber. This was also a problem on the other side of the Atlantic: The share of building construction companies experiencing shortages in Germany soared between March and June 2021, staying at high levels for over a year. Meanwhile, the shortage of material or equipment was one of the main factors limiting the building activity in France in June 2022.

LT: Index: Share Price data was reported at 155.847 2010=100 in 2016. This records an increase from the previous number of 145.365 2010=100 for 2015. LT: Index: Share Price data is updated yearly, averaging 113.090 2010=100 from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 156.412 2010=100 in 2007 and a record low of 24.098 2010=100 in 2001. LT: Index: Share Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Lithuania – Table LT.IMF.IFS: Share Price Index: Annual.

Concept: Share of IPCA subitems with positive change in the month. Source: Central Bank of Brazil – Department of Economics 21379-broad-national-consumer-price-index-ipca---diffusion-index 21379-broad-national-consumer-price-index-ipca---diffusion-index

The global coal price index reached 155.41 index points in July 2025. This was an increase compared to the previous month, while the overall fuel energy price index decreased. The global coal index expresses trading of Australian and South African coal, as both countries are among the largest exporters of coal worldwide. How coal profited from the 2022 gas crunch Throughout 2022, coal prices saw a significant net increase. This was largely due to greater fuel and electricity demand as countries slowly exited more stringent coronavirus restrictions, as well as fallout from the Russia-Ukraine war. As many European countries moved to curtail gas imports from Russia, coal became the alternative to fill the power supply gap, more than doubling the annual average price index between 2021 and 2022. Main coal traders and receivers Although China makes up by far the largest share of worldwide coal production, it is among those countries consuming the majority of its extracted raw materials domestically. In terms of exports, Indonesia, the world's third-largest coal producer, trades more coal than any other country, followed by Australia and Russia. Meanwhile, Japan, China, and India are among the leading coal importers, as these countries rely heavily on coal for electricity and heat generation.

As of July 2025, the diffusion index (DI) of the Consumer Price Index (CPI) of all items in Japan stood at **** percentage points, indicating that the share of items with price increases was higher than the share of items with price reductions. The highest index percentage point since January 2021 was recorded in September 2023 at ****.

The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

Real-Time Material Price Index API Market Outlook

According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.14 billion in 2024, demonstrating robust momentum as organizations increasingly prioritize dynamic pricing and supply chain optimization. The market is projected to grow at a CAGR of 12.7% from 2025 to 2033, reaching an estimated USD 3.39 billion by 2033. This growth is driven by heightened demand for real-time data integration, the proliferation of digital transformation initiatives across industries, and a growing emphasis on cost control and procurement efficiency. As per our latest research, the adoption of Real-Time Material Price Index APIs is accelerating, particularly as businesses seek to enhance agility and make data-driven decisions in volatile market environments.

One of the primary growth factors propelling the Real-Time Material Price Index API market is the increasing complexity and globalization of supply chains. Organizations across sectors such as construction, manufacturing, and energy face constant fluctuations in material costs due to geopolitical tensions, supply disruptions, and volatile commodity prices. Real-Time Material Price Index APIs empower these enterprises with instant access to up-to-date pricing data, enabling more accurate forecasting, agile procurement strategies, and optimized inventory management. This capability is especially critical in industries where material costs represent a significant portion of overall expenses, allowing businesses to maintain competitiveness and protect margins in an unpredictable economic landscape.

Another significant driver is the rapid digitalization of procurement and enterprise resource planning (ERP) systems. As companies invest in automation and digital transformation, the integration of Real-Time Material Price Index APIs into their digital ecosystems becomes essential for seamless operations. These APIs facilitate the automatic synchronization of pricing data with purchasing, finance, and inventory modules, reducing manual intervention and minimizing the risk of costly errors. The demand for cloud-based solutions, in particular, is surging, as they offer scalability, flexibility, and ease of integration with existing platforms. This trend is further supported by the proliferation of Industry 4.0 initiatives, where real-time data is the backbone of smart manufacturing and supply chain optimization.

The growing emphasis on data-driven decision-making is also fueling market expansion. Enterprises are increasingly leveraging advanced analytics and artificial intelligence to derive actionable insights from real-time material price data. This enables proactive risk management, dynamic pricing strategies, and improved supplier negotiations. The ability to access and analyze granular, real-time pricing information is becoming a competitive differentiator, particularly in sectors where margins are tight and responsiveness to market changes is critical. As organizations recognize the value of integrating Real-Time Material Price Index APIs with their business intelligence tools, the market is expected to witness sustained growth over the forecast period.

From a regional perspective, North America currently leads the Real-Time Material Price Index API market, driven by early adoption of digital technologies and the presence of major players in the technology and manufacturing sectors. However, Asia Pacific is emerging as a high-growth region, fueled by rapid industrialization, expanding construction activities, and increasing investment in digital infrastructure. Europe also holds a significant share, supported by stringent regulatory requirements and a strong focus on supply chain transparency. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, with growth opportunities arising from infrastructure development and modernization initiatives. Overall, the global market is characterized by diverse regional dynamics, with each geography contributing uniquely to the overall growth trajectory.

Component Analysis

The Real-Time Material Price Index API market by component is primarily segmented into software and services. The software segment comprises API platforms, integration tools, and analytics solutions that facilitate the seamless retrieval and processing of real-time material pricing data. These software solutions are designed to be highly scalable and adaptable, cate

BA: Index: Share Price: FIRS (End of Period) data was reported at 96.515 2010=100 in 2016. This records a decrease from the previous number of 108.946 2010=100 for 2014. BA: Index: Share Price: FIRS (End of Period) data is updated yearly, averaging 112.375 2010=100 from Dec 2004 (Median) to 2016, with 12 observations. The data reached an all-time high of 405.409 2010=100 in 2007 and a record low of 96.515 2010=100 in 2016. BA: Index: Share Price: FIRS (End of Period) data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.IMF.IFS: Share Price Index: Annual.

Monthly indexes and percentage changes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to Jun 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

Dairy Price Index in World decreased to 152.60 Index Points in August from 154.60 Index Points in July of 2025. This dataset includes a chart with historical data for World Dairy Price Index.

• End of Period Data.
• 1985=1000.
• As from April 2008, the number of sectors increased from 8 to 15, and the number of the market indices rose from 9 to 16 & are calculated on basis of free-floated shares only.
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Graph and download economic data for Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) (PCEPILFE) from Jan 1959 to Jul 2025 about core, chained, headline figure, energy, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

AI-Powered Rental Price Index Market Outlook

According to our latest research, the AI-Powered Rental Price Index market size reached USD 1.7 billion in 2024, reflecting the rapid adoption of artificial intelligence technologies in the real estate sector. The market is projected to grow at a robust CAGR of 18.9% from 2025 to 2033, with the forecasted market size anticipated to reach USD 8.5 billion by 2033. This impressive growth trajectory is driven by the increasing demand for data-driven rental pricing solutions, the proliferation of smart property management systems, and the need for real-time market intelligence among property stakeholders.

One of the key growth factors fueling the expansion of the AI-Powered Rental Price Index market is the escalating complexity and dynamism of global rental markets. Traditional pricing models often fail to capture the nuanced shifts in demand and supply, especially in urban and high-growth regions. AI-powered solutions leverage vast datasets, including historical rental data, economic indicators, neighborhood trends, and even social sentiment, to provide highly accurate and adaptive rental price indices. This enables property managers, landlords, and real estate agencies to optimize pricing strategies, reduce vacancy rates, and maximize returns. The ability to harness predictive analytics and machine learning for rental price forecasting is increasingly seen as a competitive differentiator in the industry.

Another significant driver is the digital transformation sweeping through the real estate sector. The integration of AI-powered rental price indices with property management platforms, listing services, and financial analytics tools is streamlining operations and enhancing decision-making. Cloud-based deployment models are making these advanced analytics accessible to a broader range of users, from large real estate agencies to individual landlords. The automation of rental price assessments not only reduces human error but also accelerates the leasing process, providing a seamless experience for both property owners and tenants. Furthermore, the growing emphasis on transparency and fairness in rental pricing is prompting regulatory bodies and public sector organizations to adopt AI-driven solutions for market monitoring and policy formulation.

The surge in urbanization and the proliferation of rental properties, especially in emerging economies, are also contributing to market growth. As cities expand and rental housing becomes a primary option for a growing segment of the population, the need for accurate, real-time rental price indices becomes critical. AI-powered platforms are uniquely positioned to capture hyper-local trends, adjust for seasonality, and factor in external events such as economic shocks or policy changes. This level of granularity and agility is essential for navigating the increasingly competitive and fragmented rental market landscape. Additionally, the COVID-19 pandemic has accelerated the adoption of digital solutions in real estate, further boosting the demand for AI-powered rental price indices.

Regionally, North America currently dominates the AI-Powered Rental Price Index market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The United States, in particular, has witnessed widespread adoption of AI-driven property management tools, supported by a mature real estate ecosystem and high digital literacy. Europe is rapidly catching up, driven by regulatory initiatives and a strong focus on data-driven urban planning. The Asia Pacific region is expected to exhibit the highest CAGR over the forecast period, fueled by rapid urbanization, rising investments in proptech startups, and the digitalization of real estate services in countries like China, India, and Australia. Latin America and the Middle East & Africa are also emerging as promising markets, albeit from a smaller base, as local governments and private players recognize the value of AI in addressing housing market inefficiencies.

Component Analysis

The AI-Powered Rental Price Index market is segmented by component into Software and Services, each playing a pivotal role in the ecosystem. The software segment comprises AI algorithms, analytics engines, and user interfaces that enable stakeholders to access, interpret, and act on rental price data. These platforms are increasingly incorporating advanced features such as n

This statistic shows the stock price development of selected petroleum companies from January 2, 2020 to April 15, 2024. After the Russian invasion of Ukraine in February 2022, oil prices increased sharply in the first quarter of 2022 since many countries depend on Russian oil. Petroleum companies highly benefited from inclined oil prices, and saw significant increases in their share prices.

Housing Index in the United Kingdom increased to 516.20 points in August from 514.60 points in July of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.