Supply Chain Ecosystem Analysis now part of DBMR Reports
Market Size in USD Billion
| 2021 –2029 | |
|
|
USD 15.39 Billion |
| USD 44.07 Billion | |
| % | |
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Global Data Driven Retail Solution Market, By Component (Solution and Services), Enterprise Size (Small and Medium Size Enterprise and Large Enterprise), Retail Store Type (Apparel and Accessories, Fast-moving Consumer Goods, Hardlines and Leisure Goods and Others), Deployment Model (Cloud and On Premises), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel and Rest of Middle East and Africa) Industry Trends and Forecast to 2029
Growth and expansion of semiconductors industry especially in the emerging ones, growing usage of data driven retail solutions by the small and medium scale enterprises in the developing economies, surging use of internet of things in retail processes, rising up gradation of existing infrastructure with advanced systems and increasing infrastructural development activities especially in the developing economies are the major factors attributable to the growth of data driven retail solution market. Data Bridge Market Research analyses that the data driven retail solution market will exhibit a CAGR of 12.40% for the forecast period of 2022-2029. Therefore, the market value, which was USD 15,393.50 million in 2020, would rocket up to USD 44,079.25 by 2029.
Data driven retail solutions are the solutions that are used to measure everything in the organization that help to evaluate the competitive landscape, optimize operations and develop effective and efficient retail strategies. Data driven retail solutions are used to optimize the channel selection and generate accurate data analytics.
Rising demand from the fast moving consumer goods industry and growth in the adoption of industry 4.0 by the retail sector will emerge as the major market growth driving factors. Growing adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), surging usage of data-driven retail solutions by retailers to personalize the consumers experience, increasing awareness among retailers about the benefits of cloud computing and intelligent solutions, and widespread industrialization will further aggravate the market value. Growing expenditure to undertake research and development proficiencies and surging awareness among retailers about the benefits of cloud computing and intelligent solutions will further carve the way for the growth of the market.
However, high costs associated with the research and development proficiencies and limited digitization in the under-developed countries will act as growth restraints for the market. Also, stringent regulatory framework and low spending on technology-proven solutions due to COVID-19 will further dampen the growth rate of the market. Large scale technological and infrastructural limitations in the underdeveloped economies and high initial cost for implementing a retail analytics plan will further challenge the market growth rate.
This data driven retail solution market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on data driven retail solution market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
The data driven retail solution market is segmented on the basis of component, enterprise size, retail store type and deployment model. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
The data driven retail solution market is analysed and market size, volume information is provided by country, component, enterprise size, retail store type and deployment model as referenced above.
The countries covered in the data driven retail solution market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America region dominates the data driven retail solution market will continue to flourish its trend of dominance during the forecast period owing to the rising technological transformations in the retail sector. Asia-Pacific region will score the highest growth rate owing to the high internet penetration and increasing digitalization of the developing economies.
The country section of the data driven retail solution market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
The data driven retail solution market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to data driven retail solution market.
Some of the major players operating in the data driven retail solution market are Microsoft, IBM, Tata Consultancy Services Limited, Oracle, Adobe, SAP SE, Tableau Software LLC, TIBCO Software Inc., 10101Data, Retail Solutions Inc., RetailNext Inc., Alteryx Inc., Teradata Corporation, MicroStrategy Incorporated, SAS Institute Inc., Wipro Limited, HCL Technologies Limited, QlikTech International AB, Flir Systems Inc., Fractal Analytics Inc., Accenture and Happiest minds among others.
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To support market growth and help clients navigate the impact of geopolitical shifts, DBMR has integrated in-depth supply chain analysis into its Global Data Driven Retail Solution Market research reports. This addition empowers clients to respond effectively to global changes affecting their industries. The supply chain analysis section includes detailed insights such as Global Data Driven Retail Solution Market consumption and production by country, price trend analysis, the impact of tariffs and geopolitical developments, and import and export trends by country and HSN code. It also highlights major suppliers with data on production capacity and company profiles, as well as key importers and exporters. In addition to research, DBMR offers specialized supply chain consulting services backed by over a decade of experience, providing solutions like supplier discovery, supplier risk assessment, price trend analysis, impact evaluation of inflation and trade route changes, and comprehensive market trend analysis.
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.