Recommendation Search Engine Market Trends, Competitive Landscape, Size, Segments, Emerging Technologies by Salesforce, HPE, Oracle, Intel, AWS, Google, Microsoft

Market Highlights:

Recommendation search engine is a powerful tool that increases average order values, using the Big Data delivers personalized recommendations based on a visitor's previous activities and other similar customers. Providers Recommendation search engine in addition to other things can suggest accessories or products the visitor is about to purchase, based on what other customers have bought together with the item.

These search engines use technologies such as Machine Learning and Natural Language Processing (NLP) to provide such services. Recommendation search engines find a vast uptake across some burgeoning industries such as BFSI, Healthcare, IT & Telecom, Media and Entertainment, Transportation, and Retail among others. This, in turn, drives the market growth of these search engines.

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What our report offers:

– Market share assessments for the regional and country level segments
– Market share analysis of the top industry players
– Strategic recommendations for the new entrants
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
– Strategic recommendations in key business segments based on the market estimations
– Competitive landscaping mapping the key common trends
– Company profiling with detailed strategies, financials, and recent developments
– Supply chain trends mapping the latest technological advancements

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.

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 the 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 human processes.

Industry/Innovation/ Related News:

October 19, 2018 – Pinterest (US), a Social network and search Engine Company launched product recommendations for easier shopping. Pinterest functionality is versatile as it works as a powerful search engine. Hence, the targeting is based on keywords, and, the recommendation tool like Shop the Look and Lens that helps in figuring out the needs of consumers.

Unlike, the other social media creates an outlet for people to interact with each other, creating an environment where users connect by sharing with new ideas and products that interest them with the simple “save” of a Pin.
October 22, 2018 – Mozilla Corporation (US), a leading global provider of Internet solutions and search engines such as Firefox announced the testing of a commercial VPN offering for a subset of users of Firefox 62 in the U.S. The company has not created its own VPN network but has partnered up with the ProtonVPN (Sweden), a VPN provider to use the established network of the provider.

The bulk of Mozilla's revenue comes from deals with search engine companies like Google or Yandex. VPNs presented by ProtonVPN include security features that block certain attacks outright and they hide the IP address.

Competitive Analysis

The embryonic market of Recommendation Search Engine appears to be fiercely competitive and fragmented. Several large and small players are churning the competition to gain competitive edge accounting for a substantial market share. Collaboration, acquisition, partnership, product/ technology launch & expansion, remain the prevailing strategies of market players.
Matured players keep innovating and investing in research and development to present cost-effective offerings. Key strategic initiatives are changing the market structure among the various players.

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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.

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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LIST OF FIGURES
FIGURE 1 Global Recommendation Search Engine Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis of Global Recommendation Search Engine Market
FIGURE 4 Value Chain of Global Recommendation Search Engine Market
FIGURE 5 Share of Recommendation Search Engine Market in 2018, by country (in %)

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