Press Release / Technology / Recommendation Search Engine Market Growth and Analysis, Industry Trends, Size, Shares, Forecast to 2023
Recommendation Search Engine Market Growth and Analysis, Industry Trends, Size, Shares, Forecast to 2023
By MarketRF39 on September 20 2018 | 405 Views
Global Recommendation Search Engine Market Research Report— Type (Collaborative Filtering, Content-Based Filtering, Hybrid Recommendation), Technology (Context-Aware, Geospatial Aware), Application, D
Market Highlights:
Over the past two decades, the Internet has emerged as the mainstay for online shopping, social networking, e-mail and many more. Corporations also consider the Web as a potential business accelerator. Thus, we see a huge volume of transactional and interaction data generated by the Internet every day. It becomes a herculean task for the user to find the relevant information. A recommendation search engine system provides a solution for this by allocating suggestions for the items to be of use to a user. Recommendation search engine systems have mathematical roots and are more akin to artificial intelligence (AI) than any other IT discipline. A recommendation search engine system learns from a customer’s behavior and recommends a product in which users may be interested. For instance, Netflix recommends movies according to the interest of the user like drama, comedy, action. Netflix went so far as to offer a $1 million prize to researchers who could improve its recommendation engine. After data collection, recommendation search engine system use machine-learning algorithms to find similarities and affinities between products and users.
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Key Players
Some of the key players of Recommendation Search Engine market include Google (US), IBM (US), Microsoft (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Intel (US), AWS (US), and Sentient Technologies (US).
The prominent players keep innovating and investing in research and development to present cost-effective offerings. Merger and acquisitions among various players are changing the market structure. For instance, Google has acquired Jetpac, makers of an app that recommends destinations based on an analysis of publicly shared Instagram photos. The technology works automatically, extracting information from large numbers of publicly available photos instead of relying on curation or other manual processes.
According to MRFR, The global Recommendation Search Engine market is expected to reach approximately USD 5,900 Million by 2023 growing at a ~40% CAGR over the forecast period 2018-2023.
Regional Analysis
The geographical analysis of Recommendation Search Engine market is studied for North America, Europe Asia Pacific and the rest of the world.
North America is expected to dominate the Recommendation Search Engine market during the forecast period as many organizations are shifting towards new and upgraded technologies with the increasing adoption of digital business strategies. Also due to the rise in the focus of the companies to enhance consumer experience is major driving for the growth of Recommendation Search Engine Market. Asia Pacific is expected to grow at a faster rate due to rapid digitalization and the increasing presence of over the top players (OTT).
Segmentation
On the basis of type, the market is segmented into Collaborative Filtering, Content-Based Filtering, Hybrid Recommendation. Collaborative Filtering is expected to grow at the highest CAGR during the forecast period. This model uses the collaborative power of the ratings provided by multiple users to make recommendations. Collaborative filtering approach doesn’t need a representation of items in terms of features, it is based only on the judgment of the participating user community which is an advantage. Several industries such as Retail, Media & entertainment, and others have deployed recommendation systems powered by AI and Big data for various applications such as personalizing campaigns.
On the basis of Technology, market is segmented into Context-Aware and Geospatial Aware. Context-aware technology is expected to dominate the market as it helps in giving diverse and accurate recommendations to the user. The contextual information includes the location of the user, Identity of people around, date, season, temperature etc. For instance, a website may recommend songs to a user by asking the current mood of the user.
On the basis of Application, market is segmented into Personalized Campaigns and Customer Discovery, Product Planning, Strategy and Operations Planning, Proactive Asset Management. Personalized campaigns and customer discovery application is expected to account for the largest market size during the forecast period. The more the recommendation system
knows about user’s profile, the better it can help to provide customized search results, recommendations or ads.
On the basis of Deployment Mode, market is segmented into On-cloud and On-premise. The Cloud deployment mode is expected to dominate the market due to high adoption of cloud technologies by SMEs as it is simple, efficient & cost effective.
On the basis of End Users, the market is segmented into Media and Entertainment, Retail, Banking, Financial Services, and Insurance, Transportation, Healthcare, and others. Retail Sector is expected to be a strong contender in Recommendation search engine market.
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Target Audience
AI recommendation engine software and platform providers
Training and consulting service providers
AI System integrators
Recommendation Search Engine vendors
Government Agencies
Managed service providers
Research organizations
Value-added Resellers (VARs)
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