In 2023, the annual rainfall measured across India amounted to ***** millimeters. This was a decrease from around ***** millimeters of rainfall recorded one year earlier. The month of July saw the highest amount of rainfall in 2023 across the country.

Rainfall: All India: Normal data was reported at 13.000 mm in 14 May 2025. This records an increase from the previous number of 11.800 mm for 07 May 2025. Rainfall: All India: Normal data is updated weekly, averaging 10.200 mm from Jan 2008 (Median) to 14 May 2025, with 889 observations. The data reached an all-time high of 68.700 mm in 29 Jul 2009 and a record low of 0.600 mm in 24 Jan 2024. Rainfall: All India: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB003: Rainfall: by Region: Weekly.

Precipitation in India increased to 1253.84 mm in 2024 from 1163.62 mm in 2023. This dataset includes a chart with historical data for India Average Precipitation.

India experienced on an average ***** millimeters of rainfall in 2022. The east and north-east region received the highest amount of rainfall that year, at over ***** millimeters. This was followed by the south peninsula region, where some ***** millimeters of rainfall were recorded.

Rainfall: Tamil Nadu: Normal data was reported at 2.700 mm in 16 May 2025. This records an increase from the previous number of 2.100 mm for 15 May 2025. Rainfall: Tamil Nadu: Normal data is updated daily, averaging 2.100 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 36.600 mm in 13 Apr 2021 and a record low of 0.000 mm in 22 Jan 2022. Rainfall: Tamil Nadu: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB005: Rainfall: by States.

During 2023, the average temperature recorded in India was ***** degrees Celsius, a slight increase from the ** degrees Celsius recorded in the previous year. This represented the highest average temperature recorded in the South Asian country since 2017.

Rainfall: Haryana: Gurgaon: Normal data was reported at 1.100 mm in 18 May 2025. This records an increase from the previous number of 0.600 mm for 17 May 2025. Rainfall: Haryana: Gurgaon: Normal data is updated daily, averaging 0.400 mm from Jun 2018 (Median) to 18 May 2025, with 2489 observations. The data reached an all-time high of 13.500 mm in 15 Jul 2021 and a record low of 0.000 mm in 16 May 2025. Rainfall: Haryana: Gurgaon: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB011: Rainfall: by District.

Rainfall: Arunachal Pradesh: Normal data was reported at 11.500 mm in 16 May 2025. This records an increase from the previous number of 10.600 mm for 15 May 2025. Rainfall: Arunachal Pradesh: Normal data is updated daily, averaging 7.600 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 310.700 mm in 13 Apr 2021 and a record low of 0.000 mm in 29 Feb 2024. Rainfall: Arunachal Pradesh: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB008: Rainfall: by Subdivision.

Temperature in India increased to 25.43 celsius in 2024 from 25.03 celsius in 2023. This dataset includes a chart with historical data for India Average Temperature.

Rainfall: Cumulative: Goa: Normal data was reported at 20.600 mm in 16 May 2025. This records an increase from the previous number of 20.100 mm for 15 May 2025. Rainfall: Cumulative: Goa: Normal data is updated daily, averaging 142.900 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 3,007.700 mm in 30 Sep 2024 and a record low of 0.000 mm in 09 Mar 2022. Rainfall: Cumulative: Goa: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB006: Rainfall: by States: Cumulative.

Rainfall: Cumulative: Maharashtra: Pune: Actual data was reported at 35.100 mm in 18 May 2025. This records an increase from the previous number of 32.100 mm for 17 May 2025. Rainfall: Cumulative: Maharashtra: Pune: Actual data is updated daily, averaging 46.200 mm from Jun 2018 (Median) to 18 May 2025, with 2489 observations. The data reached an all-time high of 1,803.500 mm in 30 Sep 2019 and a record low of 0.000 mm in 01 Apr 2025. Rainfall: Cumulative: Maharashtra: Pune: Actual data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB012: Rainfall: by District: Cumulative.

The average for 2020 based on 11 countries was 2136 mm per year. The highest value was in Malaysia: 2875 mm per year and the lowest value was in India: 1083 mm per year. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

Data for Figure 10.19 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 10.19 shows changes in the Indian summer monsoon in the historical and future periods.

How to cite this dataset

When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.

Figure subpanels

The figure has 6 subpanels. Data for all subpanels is provided.

List of data provided

The dataset contains: APHRODITE station density for June-September (JJAS) 1956 Precipitation June-September (JJAS):

• Model mean bias 1985-2010
• Observed and modelled trends: CRU TS 1950-2000, CMIP6 hist-GHG & hist-aer 1950-2000, and CMIP6 SSP5-8.5 2015-2100 trends
• Observed and model relative anomalies over 1950-2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)
• Modelled change until 2081‒2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)
• Trends in relative precipitation anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N).
• Trend difference between the 3 MPI-ESM runs with the lowest and the 3 MPI-ESM runs with the highest trend

Data provided in relation to figure

Panel (a): APHRODITE station density for JJAS 1956: - Data file: Fig_10_19_panel-a_mapplot_APHRODITE_stationdensity_single_mean.nc

Panel (b): CMIP6 mean precipitation bias June-September mean 1985-2010 mean with respect to CRU TS: - Data file: Fig_10_19_panel-b_mapplot_pr_cmip6_bias_pr_cmip6_maps_past_bias_MultiModelMean_bias.nc

Panel (c): OLS linear precipitation for June-September mean trend of CRU TS 1950-2000 (top left), CMIP6 hist-GHG (bottom left) & hist-aer (bottom right) 1950-2000, and CMIP6 SSP5-8.5 2015-2100 (top right): - Data files: Fig_10_19_panel-c_mapplot_pr_cmip6_mean_trend_future_pr_cmip6_maps_trend_future_MultiModelMean_trend.nc, Fig_10_19_panel-c_mapplot_pr_histaer_mean_trend_past_pr_aer_maps_trend_past_MultiModelMean_trend.nc, Fig_10_19_panel-c_mapplot_pr_histghg_mean_trend_past_pr_ghg_maps_trend_past_MultiModelMean_trend.nc, Fig_10_19_panel-c_mapplot_pr_obs_mean_trend_past_CRU_single_trend.nc;

Panel (d): Observed and model relative precipitation June-September mean anomalies over 1950-2100 in respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N) (CRU TS (brown), GPCC (dark blue), REGEN (green), APHRO-MA (light brown), IITM all-India rainfall (light blue), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), CMIP6 hist-aer (grey), hist-GHG (light blue) CMIP6 historical/SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue) and Modelled change until 2081‒2100 in respect to 1995-2014 averages over central India (CMIP6 SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue)): - Data files: Fig_10_19_panel-d_timeseries.csv, Fig_10_19_panel-d_boxplot.csv

Panel (e): OLS linear trends in relative precipitation June-September mean anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N) of observations (GPCC, CRU TS, REGEN and APRHO-MA: black crosses) and models (individual members of CMIP5 historical-RCP8.5 (blue), CMIP6 historical-SSP5-8.5 (dark red), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangl... For full abstract see: https://catalogue.ceda.ac.uk/uuid/e79aab21bf644e61bf5dacd02199daa3.

Rainfall: Cumulative: Delhi: Actual data was reported at 52.000 mm in 16 May 2025. This stayed constant from the previous number of 52.000 mm for 15 May 2025. Rainfall: Cumulative: Delhi: Actual data is updated daily, averaging 21.300 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 745.200 mm in 30 Sep 2021 and a record low of 0.000 mm in 05 Jan 2025. Rainfall: Cumulative: Delhi: Actual data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB006: Rainfall: by States: Cumulative.

Rainfall: Uttar Pradesh: Deviation data was reported at -97.000 % in 16 May 2025. This records an increase from the previous number of -100.000 % for 15 May 2025. Rainfall: Uttar Pradesh: Deviation data is updated daily, averaging -98.000 % from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 10,000.000 % in 04 Mar 2024 and a record low of -100.000 % in 15 May 2025. Rainfall: Uttar Pradesh: Deviation data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB005: Rainfall: by States.

Rainfall: Assam: Normal data was reported at 10.400 mm in 16 May 2025. This records an increase from the previous number of 9.500 mm for 15 May 2025. Rainfall: Assam: Normal data is updated daily, averaging 5.100 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 139.500 mm in 13 Apr 2021 and a record low of 0.000 mm in 08 Dec 2024. Rainfall: Assam: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB005: Rainfall: by States.

Rainfall: Tamil Nadu: Chennai: Actual data was reported at 0.600 mm in 18 May 2025. This stayed constant from the previous number of 0.600 mm for 17 May 2025. Rainfall: Tamil Nadu: Chennai: Actual data is updated daily, averaging 0.000 mm from Jun 2018 (Median) to 18 May 2025, with 2489 observations. The data reached an all-time high of 209.600 mm in 04 Dec 2023 and a record low of 0.000 mm in 16 May 2025. Rainfall: Tamil Nadu: Chennai: Actual data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB011: Rainfall: by District.

Snapshot img

India Rainwater Harvesting Market Size 2025-2029

The India rainwater harvesting market size is forecast to increase by USD 89.1 million at a CAGR of 11.7% between 2024 and 2029.

Rainwater harvesting has emerged as a critical solution for sustainable water management in various sectors, including construction, irrigation, landscaping and gardening, and smart cities. The market is driven by the increasing consumption of water and the need to mitigate the uneven distribution of rainfall. Rainwater harvesting systems are increasingly being used for groundwater recharge, reducing the burden on municipal water supplies and promoting water conservation. The use in green buildings is also gaining popularity due to the growing trend towards sustainability. Advanced technologies such as filters, pumps, and LED lighting are being integrated into rainwater harvesting systems to improve efficiency and effectiveness. The rising awareness of the benefits is expected to further fuel market growth. In the context of smart cities, rainwater harvesting is an essential component of sustainable urban infrastructure, enabling efficient water management and reducing reliance on traditional water sources.

What will be the Size of the market During the Forecast Period?

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The rainwater harvesting market is experiencing strong growth due to increasing water scarcity and urbanization worldwide. Groundwater depletion and the need to mitigate urban flooding and soil erosion drive the demand for rainwater collection systems. These systems provide a sustainable solution for various applications, including gardening, irrigation, and even drinking water in some cases. Natural reservoirs like tanks, wells, boreholes, and catchment systems are essential components of rainwater harvesting systems. They offer cost savings and resource savings for farmers and households, making them an attractive alternative to traditional water sources. Climatic disasters and awareness campaigns further boost market momentum.



Government support through tax breaks and legislation also contributes to the market's expansion. Conveyance systems, filters, and water storage solutions are integral components of comprehensive rainwater harvesting systems. Wastewater treatment is an emerging trend as rainwater harvesting systems evolve to address multiple water needs. Overall, the market is poised for continued growth as the world seeks sustainable water management solutions.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Residential
  Non-residential


Application

  Surface-based
  Rooftop-based


Geography

  India

By End-user Insights

The residential segment is estimated to witness significant growth during the forecast period.

The market's residential segment is experiencing consistent growth due to the increasing construction activities and the mandatory installation of rainwater harvesting systems in new homes above a certain size. The global population rise and accommodation requirements are driving the construction sector, leading to an increase In the adoption of these systems. These systems collect and store rainwater from rooftops and other hard surfaces for various uses, including landscape irrigation, decorative ponds and fountain filling, cooling tower make-up, and toilet and urinal flushing. In India, where water scarcity is a significant issue, this is essential for meeting drinking water demands.

Furthermore, urbanization and the resulting flooding and soil erosion further highlight the importance of water availability. The market includes above-ground and underground storage solutions, catering to commercial, residential, and industrial sectors. Government support, incentives, and the integration of rainwater harvesting into smart cities and green buildings are also contributing to the market's growth. These systems offer cost savings and resource savings, making them an attractive solution for farmers, businesses, and households dealing with water shortages and climatic disasters.

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Market Dynamics

Our market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in the adoption of India Rainwater Harvesting Market?

Increase in water consumption is the key driver of the market.

Rainwater harvesting has gained significant importance in addressing water scarcity issues, particularly i

Rainfall: Kerala: Actual data was reported at 4.000 mm in 16 May 2025. This records a decrease from the previous number of 6.200 mm for 15 May 2025. Rainfall: Kerala: Actual data is updated daily, averaging 2.700 mm from May 2018 (Median) to 16 May 2025, with 2509 observations. The data reached an all-time high of 154.800 mm in 09 Aug 2019 and a record low of 0.000 mm in 11 May 2025. Rainfall: Kerala: Actual data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB008: Rainfall: by Subdivision.

According to Cognitive Market Research, The Global Umbrellas market size will be USD 7.0 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2023 to 2030.

Ssia Pacific held the largest share of XX% in the year 2024 
Europe held a share of XX% in the year 2024 
North America held a significant share of XX% in the year 2024 
South America held a significant share of XX% in the year 2024
Middle East and Africa held a significant share of XX% in the year 2024 

Changing Weather Conditions to Provide Viable Market Output

Changing weather conditions, including increased rainfall, unpredictable storms, and the intensification of extreme weather events, drive the umbrella market. Consumers seek reliable protection from the elements, making umbrellas essential for staying dry and comfortable.

Multinational companies are relocating their operations away from China due to escalating labor costs. However, China's strong demand for umbrellas remains a significant market driver.

The demand for durable, wind-resistant, and UV-protective umbrellas has grown in response to these weather challenges. As climate variability continues, people turn to umbrellas not only for practicality but also as a means of adapting to the evolving climate, resulting in sustained market growth.

Increasing Tourism and Travel to Propel Market Growth

The rise in tourism and travel significantly drives the umbrellas market. Travelers often encounter diverse weather conditions during their journeys and frequently carry umbrellas for protection from rain and sun. Tourist destinations with unpredictable weather, such as coastal regions, see increased demand for travel-friendly, compact umbrellas.

In India, the Ministry of Youth Affairs and Sports reported that the government allocated INR 8.39 billion (approximately USD 0.112 billion) for umbrellas in the fiscal year 2021-22, primarily through the Khelo India scheme. These investments in sports initiatives and schemes are expected to play a supportive role in the growth of the umbrella market in the country.

As the tourism industry grows, so does the need for umbrellas designed for travelers, making them a practical and convenient accessory, thus fueling the growth of the market.

The Growing Trend and Availablity of Various Options fuels the Market 

Market Dynamics of the Umbrella

Seasonal Demand Hinder Market Growth

Seasonal demand poses a significant challenge in the umbrella market due to the cyclical nature of umbrella use. Umbrellas are primarily in demand during rainy or stormy seasons, resulting in periods of high sales followed by lower off-season demand. This seasonality can create production and inventory management challenges for manufacturers, impacting their ability to maintain consistent revenue and profitability throughout the year. It also necessitates effective forecasting and supply chain management to match supply with the fluctuating demand, which can be complex and costly for businesses in the umbrella market.

Impact of COVID–19 on the Umbrella Market

The COVID-19 pandemic had a mixed impact on the umbrellas market. Initially, it led to reduced consumer spending as lockdowns limited outdoor activities and travel. However, as restrictions eased, there was an uptick in demand for personal umbrellas to facilitate social distancing and outdoor dining. The pandemic also prompted greater awareness of hygiene, potentially driving interest in personal rain and sun protection. Overall, the market experienced shifts in consumer behavior and demand patterns during the pandemic. Introduction of The Umbrellas Market

The umbrella market is experiencing growth due to a combination of factors. Changing weather patterns and the need for protection against sun and rain have increased demand for umbrellas. Additionally, innovative designs, materials, and features are making umbrellas more attractive to consumers. The fashion industry's influence has also contributed to umbrella market growth, as they are increasingly viewed as stylish accessories. Overall, the utility and style of umbrellas, along with the impact of weather-related events, drive their market expansion.

China is set to host the 2022 Asian Games in 2023, scheduled to be held in Hangzhou from September 23 to October 8, 2023, according to the Olympic Council of Asia (OCA). These games ty...