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Global Recommendation Engine Market (2022 to 2027) – Industry Trends, Share, Size, Growth, Opportunity and Forecasts

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Dublin, May 03, 2022 (GLOBE NEWSWIRE) — The “Recommendation Engine Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027” report has been added to ResearchAndMarkets.com’s offering.

The global recommendation engine market reached a value of US$ 2.7 billion in 2021. Looking forward, the market is projected to reach US$ 16.3 billion by 2027, exhibiting a CAGR of 35.61% during 2022-2027. Keeping in mind the uncertainties of COVID-19, the analyst is continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different End-use industries. These insights are included in the report as a major market contributor.

Recommendation engine refers to a data filtering tool that enables marketers to offer relevant product recommendations to customers in real-time. It is leveraged with data analysis techniques and advanced algorithms, such as machine learning (ML) and artificial intelligence (AI), which can suggest relevant product catalogs to an individual. In addition, it can show products on websites, apps, and emails, based on customer preferences, past browser history, attributes, and situational context. At present, it is widely utilized in business-to-consumer (B2C) e-commerce fields, such as entertainment, mobile apps, and education, which require a personalization strategy.

Recommendation Engine Market Trends

The coronavirus disease (COVID-19) pandemic and complete lockdowns imposed by governing agencies of numerous countries have encouraged enterprises to shift to online retail platforms. This represents one of the major factors catalyzing the demand for recommendation engines to increase sales and maintain a positive customer relationship.

Apart from this, the thriving e-commerce industry on account of the increasing penetration of the Internet, the growing reliance on smartphones, and the emerging social media trend are contributing to the market growth. This can also be attributed to changing consumer spending habits and the rising need for convenience, immediacy, and simplicity during shopping.

Moreover, the increasing adoption of the omnichannel approach to sales that focuses on providing a seamless customer experience is driving the market. Furthermore, due to the rapid expansion of businesses globally, there is a rise in the demand for recommendation engines to manage large volumes of data and engage users actively. They are also gaining traction in small and medium-sized enterprises (SMEs) worldwide to enable them to increase overall sales by cross-selling new products to existing customers and maximize average order value.

Key Market Segmentation

This report provides an analysis of the key trends in each sub-segment of the global recommendation engine market, along with forecasts at the global, regional and country level from 2022-2027. The report has categorized the market based on type, technology, deployment mode, application and End-user.

Breakup by Type:

  • Collaborative Filtering
  • Content-based Filtering
  • Hybrid Recommendation Systems
  • Others

Breakup by Technology:

  • Context Aware
  • Geospatial Aware

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

Breakup by Application:

  • Strategy and Operations Planning
  • Product Planning and Proactive Asset Management
  • Personalized Campaigns and Customer Discovery

Breakup by End-user:

  • IT and Telecommunication
  • BFSI
  • Retail
  • Media and Entertainment
  • Healthcare
  • Others

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

Competitive Landscape

The competitive landscape of the industry has also been examined along with the profiles of the key players being Adobe Inc., Amazon.com Inc., Dynamic Yield (McDonald’s), Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kibo Software Inc., Microsoft Corporation, Oracle Corporation, Recolize GmbH, Salesforce.com Inc. and SAP SE.

Key Questions Answered in This Report

  • How has the global recommendation engine market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global recommendation engine market?
  • What are the key regional markets?
  • What is the breakup of the market based on the type?
  • What is the breakup of the market based on the technology?
  • What is the breakup of the market based on the deployment mode?
  • What is the breakup of the market based on the application?
  • What is the breakup of the market based on the End-user?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global recommendation engine market and who are the key players?
  • What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction
4.1 Overview
4.2 Key Industry Trends

5 Global Recommendation Engine Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Type
6.1 Collaborative Filtering
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Content-based Filtering
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Hybrid Recommendation Systems
6.3.1 Market Trends
6.3.2 Market Forecast
6.4 Others
6.4.1 Market Trends
6.4.2 Market Forecast

7 Market Breakup by Technology
7.1 Context Aware
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Geospatial Aware
7.2.1 Market Trends
7.2.2 Market Forecast

8 Market Breakup by Deployment Mode
8.1 On-premises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Cloud-based
8.2.1 Market Trends
8.2.2 Market Forecast

9 Market Breakup by Application
9.1 Strategy and Operations Planning
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Product Planning and Proactive Asset Management
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 Personalized Campaigns and Customer Discovery
9.3.1 Market Trends
9.3.2 Market Forecast

10 Market Breakup by End User
10.1 IT and Telecommunication
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 BFSI
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Retail
10.3.1 Market Trends
10.3.2 Market Forecast
10.4 Media and Entertainment
10.4.1 Market Trends
10.4.2 Market Forecast
10.5 Healthcare
10.5.1 Market Trends
10.5.2 Market Forecast
10.6 Others
10.6.1 Market Trends
10.6.2 Market Forecast

11 Market Breakup by Region

12 SWOT Analysis

13 Value Chain Analysis

14 Porters Five Forces Analysis

15 Price Analysis

16 Competitive Landscape
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 Adobe Inc.
16.3.1.1 Company Overview
16.3.1.2 Product Portfolio
16.3.1.3 Financials
16.3.1.4 SWOT Analysis
16.3.2 Amazon.com Inc.
16.3.2.1 Company Overview
16.3.2.2 Product Portfolio
16.3.2.3 Financials
16.3.2.4 SWOT Analysis
16.3.3 Dynamic Yield (McDonald’s)
16.3.3.1 Company Overview
16.3.3.2 Product Portfolio
16.3.4 Google LLC (Alphabet Inc.)
16.3.4.1 Company Overview
16.3.4.2 Product Portfolio
16.3.4.3 SWOT Analysis
16.3.5 Hewlett Packard Enterprise Development LP
16.3.5.1 Company Overview
16.3.5.2 Product Portfolio
16.3.5.3 Financials
16.3.5.4 SWOT Analysis
16.3.6 Intel Corporation
16.3.6.1 Company Overview
16.3.6.2 Product Portfolio
16.3.6.3 Financials
16.3.6.4 SWOT Analysis
16.3.7 International Business Machines Corporation
16.3.7.1 Company Overview
16.3.7.2 Product Portfolio
16.3.7.3 Financials
16.3.7.4 SWOT Analysis
16.3.8 Kibo Software Inc.
16.3.8.1 Company Overview
16.3.8.2 Product Portfolio
16.3.9 Microsoft Corporation
16.3.9.1 Company Overview
16.3.9.2 Product Portfolio
16.3.9.3 Financials
16.3.9.4 SWOT Analysis
16.3.10 Oracle Corporation
16.3.10.1 Company Overview
16.3.10.2 Product Portfolio
16.3.10.3 Financials
16.3.10.4 SWOT Analysis
16.3.11 Recolize GmbH
16.3.11.1 Company Overview
16.3.11.2 Product Portfolio
16.3.12 Salesforce.com Inc.
16.3.12.1 Company Overview
16.3.12.2 Product Portfolio
16.3.12.3 Financials
16.3.12.4 SWOT Analysis
16.3.13 SAP SE
16.3.13.1 Company Overview
16.3.13.2 Product Portfolio
16.3.13.3 Financials
16.3.13.4 SWOT Analysis

For more information about this report visit https://www.researchandmarkets.com/r/ua7kw5

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Artificial Intelligence

XtalPi Unveils XtalGazer: A Comprehensive AI-Driven Polymorph Selection Platform

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CAMBRIDGE, Mass., March 28, 2024 /PRNewswire/ — XtalPi Inc., a leading global technology company in integrating artificial intelligence (AI) and robotics to advance the discovery of groundbreaking medicine and innovative materials, announced today the launch of its proprietary comprehensive solid form discovery and selection platform, XtalGazer. This advanced platform aims to significantly improve the polymorph selection process for the pharmaceutical industry by integrating AI- and automation-powered experimental and computational approaches.

XtalGazer provides a total solution for delivering high-quality polymorph screening and selection methods to expedite drug development and mitigate risks. It represents a paradigm shift in solid-state research, moving from the traditional trial-and-error approach to a data-driven, design-led methodology. The platform provides an expansive suite of foundational tools to accelerate polymorph discovery, characterization, and selection process, empowering pharmaceutical companies to conduct thorough research with less active pharmaceutical ingredient (API) in shorter development cycles.
A key component of XtalGazer is XtalCSP, a crystal structure prediction platform to perform global searches of crystal structures for target molecules and the other optional components in the corresponding searching space, offering a deep insight into possible stable forms. Furthermore, crystallization strategy recommendations will provide AI-backed experimental design to help avoid human bias. XtalGazer also utilizes MicroED to rapidly elucidate crystal structures from powder samples, reducing the need for growing single crystals.
XtalPi’s launch of XtalGazer marks another significant step in the company’s ongoing exploration of solid-state research. From crystal structure prediction platforms being one of the first products to launch at XtalPi, to today’s comprehensive polymorph selection platform, XtalPi will keep fulfilling its promise to solving challenging problems in this space. XtalPi will continue to deliver faster, more accurate, and more comprehensive approaches to building an ecosystem for the R&D process in solid-state, pre-formulation and crystallization.
For more information about XtalPi, please visit www.xtalpi.com.
About XtalPi:
XtalPi is an innovative technology company powered by artificial intelligence (AI) and robotics. Founded in 2015 on the MIT campus, XtalPi is dedicated to driving intelligent and digital transformation in the life science and new materials industries. With tightly interwoven quantum physics, AI, cloud computing, and large-scale clusters of robotic workstations, XtalPi offers a range of technology solutions, services, and products to accelerate and empower innovation for biopharmaceutical and new materials companies worldwide.
Media Contact: Vivienne [email protected]
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Artificial Intelligence

ICIS and Base Oil News Announce Partnership to Enhance Market Insights

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LONDON, March 28, 2024 /PRNewswire/ — ICIS, a global source of commodity intelligence, is pleased to announce a strategic partnership with Base Oil News, a premier news outlet founded by industry expert Iain Pocock that provides in-depth coverage of the base oils and lubricants market. This collaboration marks a significant milestone in the dissemination and exchange of critical market data and insights.

With more than two decades of journalism experience at Bloomberg, Reuters, and Argus Media, Iain Pocock brings unparalleled expertise to this partnership. His deep understanding of illiquid energy markets makes him a credible and influential figure in the industry. Since November 2023, Iain has been working closely with ICIS to share and exchange valuable data and insights, enhancing the services both platforms offer to the base oils and lubricants market.
Through the collaboration, Iain integrates ICIS’ extensive content and data resources in Base Oil News market coverage. In return, he contributes market insights to ICIS News, including expert and exclusive analysis of supply and demand dynamics, price margins, and other critical market drivers. This exchange ensures that subscribers of both ICIS and Base Oil News have access to the most comprehensive, timely, and accurate market information, empowering them to make informed decisions.
“It’s a very exciting partnership – where we leverage each other’s strengths and provide actionable insights to our customers,” said Iain Pocock, Founder of Base Oil News. “The market is the winner.”
“As ICIS is already the world’s most trusted pricing benchmark for base oils, this collaboration with Iain Pocock and Base Oil News provides an even stronger and deeper service to our customers,” said Stephen Burns, Editorial Director at ICIS. “Iain’s expertise and extensive industry connections are invaluable, and we have established a fruitful partnership that benefits the market at large.”
For the latest insights from Iain Pocock on ICIS News, visit ICIS News.  
About ICIS
ICIS – Independent Commodity Intelligence Services – helps businesses through seamlessly delivering data and analytics, across the chemical, fertilizer and energy markets. A trusted source and benchmark for price information and insight across key commodities markets worldwide. Our independent, transparent market intelligence informs thousands of quality decisions every day, taking the pressure out of negotiations and giving customers space for more innovative thinking, through published datasets including price assessments, price forecasts, supply and demand fundamentals and more.
Over 150 years of shaping the world by connecting markets to optimise the world’s valuable resources. With a global team of more than 600 experts, ICIS has employees based in London, New York, Houston, Karlsruhe, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.
ICIS is part of RELX, a FTSE15 company with a market cap of £64bn and an employee base of over 30,000 experts across 40 countries.
About RELX
RELX is a global provider of information and analytics for professional and business customers across industries. The Group serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. RELX PLC is a London listed holding company which owns 52.9% of RELX Group. RELX NV is an Amsterdam listed holding company which owns 47.1% of RELX Group. The shares are traded on the London, Amsterdam and New York Stock Exchanges using the following ticker symbols: London: REL; Amsterdam: REN; New York: RELX and RENX. Total market capitalisation is approximately £64bn | €75bn | $81bn.
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Trianz Welcomes Israel Abraham as Vice President of Services for Extrica.ai – The Data to AI Platform

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SANTA CLARA, Calif., March 28, 2024 /PRNewswire/ — Digital transformation technology & services company Trianz is pleased to announce the appointment of Israel Abraham as Vice President of Extrica Platform Services.

Trianz has embarked on a transformative journey, redefining its value proposition with an ‘IP Led’ model, with a commitment to deliver the fastest time to value, lowest human dependence, and highest ROI. Central to this approach are our hyper-automated platforms, Concierto.Cloud, Extrica.AI, and Pulse, driving industry-leading transformations in cloud, data and analytics, AI, and the digital workplace.
Israel Abraham is a very well-known pioneer and industry leader in AI, data management, and analytics systems, with over three decades of experience. He joins as the services leader for Extrica- the Trianz Data to AI platform, which productizes data, provides data a face and purpose, and accelerates time to insights and AI by 50% or more. In the role of Extrica Services leader, Israel will lead the shaping, visioning, and delivery of Extrica.ai based enterprise wide datamesh, BI, and AI solutions for customers worldwide.
“We are thrilled to welcome Israel Abraham to the Trianz family,” said Sri Manchala, CEO of Trianz and author of Crossing the Digital Faultline. “He is a leader in modernization as well as conceptualization of data platforms anew. Israel’s prior background in the industry with financial services and insurance giants underscores our commitment to securing top-tier talent that brings real-world experiences and needs to our technology platforms. As we continue to broaden our footprint in the digital transformation space, Israel’s visionary leadership and practical experience will serve as the cornerstone in accelerating insights and AI to deliver transformative value to our clients.”
Having played pivotal roles in highly reputed and large organizations such as Liberty Mutual Insurance, MassMutual, Safeco, and CNA Insurance, Israel has garnered recognition as a seasoned leader in big data and AI cloud implementations. His accolades include the prestigious 2014 Ventana Research IT Innovation Award, the 2009 Informatica MDM Innovation Award, and three filed Data Engineering patents in the last four years.
“Trianz has been at the forefront of digital innovation, and Extrica.ai is a paradigm shifting data to AI platform that completely changes how analytics and AI are delivered- much faster, taking business ahead of change. I am excited to scale the adoption of the Extrica platform, which has attracted attention from giants across the industry and hyperscalers,” said Israel Abraham. “I look forward to engaging with customers, bringing my own experiences, and collaborating with the talented team at Trianz to further enhance the capabilities of the Extrica Platform Services to transform data & AI strategies, execution, and outcomes for customers.”
About Trianz
Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. Our ‘IP Led Transformations’ approach, informed by insights from a recent global study spanning 20+ industries and 5000+ companies, addresses challenges posed by the rapid pace of AI-driven transformation, digital talent scarcity, and economic uncertainty. Our IP and platforms, including Concierto, Extrica, and Pulse, revolutionize cloud adoption, data analytics, and AI insights, empowering organizations to navigate the complexities of digital transformation seamlessly.
Founded in California and with an organization of over 2,000 associates across the United States and India, Trianz is a Premier Partner of AWS, consistently rated #1 by clients for value delivery over the past five years. Trianz has been ranked as one of the best Consulting Firms by Forbes and has been certified as a Great Place to Work for three years in a row. To learn more about Trianz, email [email protected] or visit www.trianz.com.
Watch Trianz CEO Sri Manchala’s insightful interview with Bloomberg on Partner | Crossing The Digital Faultline & Leading Towards Transformative Success – YouTube and delve deeper into his book Crossing the Digital Faultline at Crossing the Digital Faultline | Trianz.
Trianz Media [email protected] +1-408-387-5800
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