Report overview
Retail intelligence helps retailers improve revenue and operations by delivering insights and advanced analytics. This type of software gathers, manages, and analyzes retail and e-commerce data from multiple sources: internal (software such as e-commerce platforms), external (e-commerce marketplaces), and industry benchmarking data provided by third parties. The data is obtained through integration, parsing, and scraping. Artificial intelligence (AI) and machine learning (ML) are used to clean and analyze the data for the following purposes: competitive intelligence, market analysis, brand protection, and pricing optimization.
This report aims to provide a comprehensive presentation of the global market for Retail Intelligence Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Retail Intelligence Software. This report contains market size and forecasts of Retail Intelligence Software in global, including the following market information:
Global Retail Intelligence Software Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Retail Intelligence Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Retail Intelligence Software include Glew.io, Numerator (InfoScout), DataWeave, Omnilytics, Rakuten Advertising, AFS Technologies, EPICA, Flxpoint and HALO, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Retail Intelligence Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Retail Intelligence Software Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Retail Intelligence Software Market Segment Percentages, by Type, 2022 (%)
Cloud Based
On Premises
Global Retail Intelligence Software Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Retail Intelligence Software Market Segment Percentages, by Application, 2022 (%)
Large Enterprises
SMEs
Global Retail Intelligence Software Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Retail Intelligence Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Retail Intelligence Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Retail Intelligence Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Glew.io
Numerator (InfoScout)
DataWeave
Omnilytics
Rakuten Advertising
AFS Technologies
EPICA
Flxpoint
HALO
Intelligence Node
inte.ly
Pricing Excellence
Mi9 Retail
Premise Data
Quotient Technology
Kinaxis
SPS Commerce
Stackline
SupplyPike
Wiser Solutions
Outline of Major Chapters:
Chapter 1: Introduces the definition of Retail Intelligence Software, market overview.
Chapter 2: Global Retail Intelligence Software market size in revenue.
Chapter 3: Detailed analysis of Retail Intelligence Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Retail Intelligence Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
