CoreLogic Dwelling Prices MoM in Australia increased to 0.60 percent in June from 0.50 percent in May of 2025. This dataset includes a chart with historical data for Australia CoreLogic Dwelling Prices MoM.

Graph and download economic data for S&P CoreLogic Case-Shiller CA-San Francisco Home Price Index (SFXRNSA) from Jan 1987 to Apr 2025 about San Francisco, CA, HPI, housing, price index, indexes, price, and USA.

Case Shiller Home Price Index in the United States increased to 341.48 points in April from 338.39 points in March of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for S&P CoreLogic Case-Shiller TX-Dallas Home Price Index (DAXRNSA) from Jan 2000 to Apr 2025 about Dallas, HPI, TX, housing, price index, indexes, price, and USA.

Housing Index in Australia increased to 183.90 points in the fourth quarter of 2021 from 175.60 points in the third quarter of 2021. This dataset provides the latest reported value for - Australia House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for S&P CoreLogic Case-Shiller DC-Washington Home Price Index (WDXRNSA) from Jan 1987 to Apr 2025 about DC, Washington, MD, WV, VA, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for S&P CoreLogic Case-Shiller NV-Las Vegas Home Price Index (LVXRNSA) from Jan 1987 to Apr 2025 about Las Vegas, NV, HPI, housing, price index, indexes, price, and USA.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

This report analyses the price of residential housing in New Zealand. The data is presented as an index with a base year of 2022-23 and measures changes in residential house prices across New Zealand. The data for this report is compiled by CoreLogic, sourced from the Reserve Bank of New Zealand (Te Putea Matua), or RBNZ, and is presented in financial years.

Graph and download economic data for S&P CoreLogic Case-Shiller NY-New York Home Price Index (NYXRSA) from Jan 1987 to Apr 2025 about New York, NY, HPI, housing, price index, indexes, price, and USA.

The Property Intelligence Platform market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. Technological advancements, such as AI and machine learning, are enhancing the capabilities of these platforms, providing more accurate and insightful property data analysis. This allows real estate professionals to make informed decisions regarding investments, valuations, risk assessment, and portfolio management. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the increasing adoption of cloud-based solutions, the growing need for efficient property management, and the expansion of the global real estate market. The rise of PropTech and the integration of various data sources, such as public records, transactional data, and market analytics, are further contributing to this expansion. The competitive landscape is highly fragmented, with a mix of established players and emerging startups. Key players like Yardi, VTS, and CoreLogic are leveraging their existing market presence and expertise to maintain their market share. However, agile startups are innovating with advanced analytical tools and specialized solutions, catering to niche market segments. Geographical expansion, particularly in emerging economies with rapidly growing real estate sectors, presents significant opportunities for both established and new entrants. The market's future growth will likely be shaped by the ongoing integration of data analytics, the development of more sophisticated predictive models, and the increasing adoption of these platforms by smaller real estate firms. The continued focus on enhancing data security and privacy will also play a crucial role in shaping the market's trajectory.

The global Property Appraisal Software market is experiencing robust growth, driven by increasing demand for efficient and accurate property valuations. The market is projected to reach a significant size, with a Compound Annual Growth Rate (CAGR) reflecting a healthy expansion trajectory. While precise figures for market size and CAGR are not provided, considering similar software markets and recent technological advancements in the real estate sector, a reasonable estimate for the 2025 market size could be placed in the range of $2.5 billion to $3 billion. A projected CAGR of 15-18% from 2025 to 2033 seems plausible given the ongoing adoption of digitalization and automation in property appraisal processes. This growth is primarily fueled by the increasing need for faster turnaround times, reduced operational costs, and improved accuracy in property assessments. Key drivers include the rising volume of real estate transactions, the growing complexity of property valuation methods, and the increasing use of data analytics and machine learning in property assessment. Furthermore, several market trends are shaping the future of Property Appraisal Software. The increasing integration of AI and machine learning algorithms is automating valuation processes, improving accuracy, and reducing manual effort. Cloud-based solutions are gaining popularity due to their scalability, accessibility, and cost-effectiveness. Moreover, the demand for software solutions that comply with evolving regulatory standards and industry best practices is also driving market expansion. Despite these positive trends, challenges such as the need for data security and integration with existing systems, along with the cost of implementation and training, may pose restraints on market growth. Key players like Aprao, HouseCanary, ValueLink Software, SFREP, CoreLogic, ACI, Voxtur Analytics, CompStak, Realquantum, and Valcre are actively contributing to innovation and market competition. The competitive landscape is dynamic and characterized by both established players and emerging technology providers.

Graph and download economic data for S&P CoreLogic Case-Shiller FL-Tampa Home Price Index (TPXRNSA) from Jan 1987 to Apr 2025 about Tampa, FL, HPI, housing, price index, indexes, price, and USA.

Average House Prices in Australia increased to 1002.50 AUD Thousand in the first quarter of 2025 from 995.60 AUD Thousand in the fourth quarter of 2024. This dataset includes a chart with historical data for Australia Mean Dwelling Price.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

Graph and download economic data for S&P CoreLogic Case-Shiller OR-Portland Home Price Index (POXRNSA) from Jan 1987 to Apr 2025 about Portland, OR, WA, HPI, housing, price index, indexes, price, and USA.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

Graph and download economic data for S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index (LXXRNSA) from Jan 1987 to Apr 2025 about Los Angeles, CA, HPI, housing, price index, indexes, price, and USA.