Global Retail Intelligence Software Market Growth (Status and Outlook) 2024-2030

Global Retail Intelligence Software Market Growth (Status and Outlook) 2024-2030

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.

The global Retail Intelligence Software market size is projected to grow from US$ 5536.9 million in 2023 to US$ 14490 million in 2030; it is expected to grow at a CAGR of 14.7% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Retail Intelligence Software Industry Forecast” looks at past sales and reviews total world Retail Intelligence Software sales in 2023, providing a comprehensive analysis by region and market sector of projected Retail Intelligence Software sales for 2024 through 2030. With Retail Intelligence Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Retail Intelligence Software industry.

This Insight Report provides a comprehensive analysis of the global Retail Intelligence Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Retail Intelligence Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Retail Intelligence Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Retail Intelligence Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Retail Intelligence Software.

Some of the future market trends of Retail Intelligence Software are:

Increasing adoption of cloud-based Retail Intelligence Software: Cloud-based Retail Intelligence Software offers benefits such as scalability, flexibility, cost-effectiveness, and easy deployment. Cloud-based Retail Intelligence Software also enables remote access and centralized management of retail data across multiple locations.

This report presents a comprehensive overview, market shares, and growth opportunities of Retail Intelligence Software market by product type, application, key players and key regions and countries.

Segmentation by type
Cloud Based
On Premises

Segmentation by application
Large Enterprises
SMEs

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.