Content Recommendation Engine Market 2021: Soaring Demand Assures Motivated Revenue Share by 2025 | Analysis by AWS, IBM, Boomtrain, Certona, Curata, Cxense, Dynamic Yield
This report provides in-depth study of “Global Content Recommendation Engine Market 2021” using SWOT analysis i.e. Strength, Weakness, Opportunities, and Threat to the organization. The Content Recommendation Engine Market report also provides an in-depth survey of key players in the market organization.
The Global Content Recommendation Engine Market has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Content Recommendation Engine market size to maintain the average annual growth rate of 25.99% from $560 Million in 2015 to $1120 Million $ in 2019, market analysts believe that in the next few years, Content Recommendation Engine market size will be further expanded, we expect that by 2025, The market size of the Content Recommendation Engine will reach $4510 Million $.
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According to the market research study, Recommendation Engine is software that examines accessible, structured data to make recommendations for information that a website user is interested in, such as a book, a video or a job posting, and others. Recommendation engines are widely used among e-commerce, content-based websites, and across social media platforms. A content-based recommender works with information that user provides, either unequivocally (rating) or certainly.
Some of the most significant key factors driving the growth of the Global Content Recommendation Engine Market are rapid growth in the digitization, increase in emphasis on enhancing customer experience, increasing need for analyzing large volume of customer data, and growing use of artificial intelligence in recommendation engine to offer personalized customer experience.
In the end, the report makes some important proposals for a new project of Content Recommendation Engine Market before evaluating its feasibility. Overall, the report provides an in-depth insight of 2013-2025 global Content Recommendation Engine market covering all important parameters.
Global Key Vendors:
1 Amazon Web Services
5 Cxense (Norway)
6 Dynamic Yield
8 Kibo Commerce
12 ThinkAnalytics and More……………..
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Product Type Segmentation
1 Collaborative Filtering
2 Content-based Filtering
3 Hybrid Filtering
3 Entertainment & Gaming
4 Retail & Consumer Goods
6 IT & Telecommunication
International Business News:
IBM (March 26, 2021) - Raise Green Engages IBM to Build a Solution to Support Solar Developers and Climate Entrepreneurs - IBM and Raise Green, an impact investment marketplace for clean energy projects, announced their collaboration to develop Raise Green's software solution deployed using Red Hat OpenShift on IBM Cloud, intended to empower any entrepreneur to start their own community solar energy businesses. Today marks the rollout of the latest Beta version of the Originator Engine, following the initial launch announced last year.
To help address the growing urgency of climate change, Raise Green came to IBM Global Business Services (GBS) with a need that the parties developed into the Originator Engine - a groundbreaking digital tool that customers, investors, and ecosystem partners can leverage to create, finance, build, and run new solar businesses.
"Everyone has a role to play in tackling climate change in an equitable way. Countries have committed to act, technologies are ready, and policies are moving in the right direction, but it's not happening fast enough," said Franz Hochstrasser, CEO and co-founder of Raise Green. "Raise Green is designed to empower communities tired of waiting for action on climate and social impact. IBM is helping us bring this innovation to life by designing a smooth user experience that makes starting a new business straightforward while enabling us to expand into areas beyond solar like template microgrids, energy efficiency, electric vehicle charging, urban farms, and affordable housing."
Raise Green engaged IBM GBS to help build a digital experience that would empower climate entrepreneurs to start and finance their businesses and local climate projects by removing obstacles and equipping them with tools and resources. A team of IBM design and technology specialists worked with Raise Green to co-create, develop and deploy a proof-of-concept for the Originator Engine in just eight weeks through the IBM Garage – IBM's approach to fast-tracking innovation at scale, to help transform organizations from the inside out. The Originator Engine uses Red Hat OpenShift and is deployed on IBM Cloud for all of Raise Green's services. IBM Cloud is the industry's most open and secure public cloud.
The Originator Engine combines multiple database standards, allows companies to create filings for the Securities and Exchange Commission (SEC), and offers investment opportunities through the Raise Green Investor Marketplace. The Originator Engine is designed to automate the process of creating and completing legal and financial documents by taking thousands of pages and converting them into streamlined and easy to use templates.
"The collaboration between Raise Green and IBM serves as a meaningful response to the question of how to get involved in the fight against climate change," said Debbie Vavangas, Global Lead, IBM Garage. "To address the growing need for an innovative solution, Raise Green wanted to embrace cloud-based and agile methodologies which not only can accelerate the creation of a new digital experience for climate entrepreneurs but also gives Raise Green the flexibility to evolve digital capabilities for future growth."
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Major Points in Table of Contents:
Global Content Recommendation Engine Market Report 2021
1 Content Recommendation Engine Definition
2 Global Content Recommendation Engine Market Major Player Share and Market Overview
2.1 Global Major Player Content Recommendation Engine Business Revenue
2.2 Global Content Recommendation Engine Market Overview
3 Major Player Content Recommendation Engine Business Introduction
3.1 Amazon Web Services Content Recommendation Engine Business Introduction
3.2 Boomtrain Content Recommendation Engine Business Introduction
3.3 Certona Content Recommendation Engine Business Introduction
3.4 Curata Content Recommendation Engine Business Introduction
3.5 Cxense Content Recommendation Engine Business Introduction
3.6 Dynamic Yield Content Recommendation Engine Business Introduction
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