.png)
Analysis as of 2022-07-14 and auto generated using "Code+AI"
Consumer View
We first analyze the consumer view to determine the momentum and awareness amongst
people in social media. These days consumers look for everything on the internet and this
data trail is a great source of insights. We analyze the chatter on social media, analyze
search trends of the consumers & find specific pattern of internet lookups. This analysis
serves as a lead indicator for the topic to understand the conversations and feedback better.
Consumer Interest Analysis
We analyze 5 years of search data from 2017-07-16 to 2022-07-10. The analysis was done
for global region.
It has trended with a Positive cagr of 5.55%
Malaysia, Singapore, St. Helena, Bangladesh, Nepal are the main regions that have shown interest
It has shown 1 peaks as seen in image below
Queries like dhl ecommerce kuantan, ecommerce datablitz, correo argentino ecommerce, innoart ecommerce limited are top related searches in last 12 months
Their changes over the last 12 months can be seen in image below
Use Case Analysis
Consumers look for ecommerce usage in multiple areas which can be seen below
The image shows a word tree that visualizes the lookups as performed by consumers
wordpress, sale, service, beginners, dummies are the top areas that consumers lookup ecommerce for.
Note: Consumers may not type entire keywords and hence you would see some repetitions
Consumers look for ecommerce usage in multiple areas along with certain aspects which can be seen below
The image shows a word tree that visualizes the lookups as performed by consumers. n & n year old suggest queries like product for 5 year old and so on
react, django, google, penny, quickbooks are the top areas that consumers lookup ecommerce with.
Note: Consumers may not type entire keywords and hence you would see some repetitions
Market View
Having a sense of what consumers are looking for next we shift to the players and consumer
engagement with them. Apps have become integral to customer experience and most
companies interact with their customers through apps to enhance customer experience. So,
when understanding consumer engagement with a product, analysing the app landscape is
an important aspect to gauge the communication effectiveness between a brand and its
customers. It also gives indications of features required and issues to be fixed.
Analysis of apps
50 apps are analyzed across 7 categories.
Top 20 categories are shown below.
Business, Shopping, Education, Libraries & Demo, Productivity are the top 5 categories seeing app development.
The top trends in App categories are seen below. This gives an indication of where ecommerce is seeing market traction.
Business, Shopping, Education, Libraries & Demo, Productivity are the top 5 categories
Top 20 categories basis installs are shown below including new niche areas.
Business, Tools, Education, Libraries & Demo, Productivity are the top 5 categories seeing app installations.
Consumers leave feedback on the app regarding their experience, usage & issues. We identify the different aspects and consumer sentiment around it.
Top 25 aspects and their sentiment are shown below.
Note: Every aspect would have both positive & negative sentiment which is shown in the chart. Green implies positive & red negative. Width of box signifies number of comments.
ecommerce site, connection error, android phone, internet connection, commerce site are the top 5 negative categories.
business owner, commerce store, commerce business, online store, long time are the top 5 positive categories.
Research View
Now that we’ve understood the market and consumer view let us switch gears to
understand technology advancements. Research agenda is key to understanding the
upcoming technologies that are being researched that will have a major influence in this
space. We do this by analysing research papers to understand emerging technologies.
Analysis of research papers
We analyze 96 research papers
Let us take 3 views of what areas are being researched. 1) basis words in the abstract 2) basis topic classification of the papers 3) discipline classification
The top trends basis words are seen below
neural networks, commerce search, based recommendation, ecommerce search, visual search are the top 5 areas
The top trends basis topics are seen below
Market_research, Behavioral_and_social_facets_of_systemic_risk, Information_technology_management, Product_management, Fields_of_application_of_statistics are the top 5 areas
Research progresses across multiple disciplines. The top discipline trends are seen below that provides insights on how the topic is evolving.
The top 15 disciplines are:
discipline_1: Information Retrieval
discipline_2: Information Retrieval:Machine Learning
discipline_3: Computers and Society
discipline_4: Machine Learning:Machine Learning
discipline_5: Cryptography and Security
discipline_6: Machine Learning
discipline_7: Computation and Language:Artificial Intelligence
discipline_8: Computer Vision and Pattern Recognition
discipline_9: Information Retrieval:Artificial Intelligence
discipline_10: Human-Computer Interaction
discipline_11: Computation and Language:Machine Learning
discipline_12: Information Retrieval:Computation and Language:Machine Learning
discipline_13: Information Retrieval:Computation and Language
discipline_14: Software Engineering
discipline_15: Information Retrieval:Artificial Intelligence:Machine Learning
What are the top cited papers? Next let us analyze papers bases on citations.
Citation of a paper is a key measure of importance of a technology/ concept articluated in a paper. Here we list the titles of top cited papers & show a timeline of the top cited papers.
Cited count: 1454 Title: The Internet: An Ethnographic Approach
Cited count: 1430 Title: Web Service Modeling Ontology
Cited count: 998 Title: The Long Tail: Why the Future of Business is Selling Less of More
Cited count: 699 Title: An Environment for Merging and Testing Large Ontologies
Cited count: 630 Title: Measuring Motivations for Online Opinion Seeking
What are the emerging cited papers? Next let us analyze cited papers bases on recency.
Here we list the titles of top cited papers in last 12 months & show a timeline of the top cited papers adjusted for age.
The chart to the right is the same as previous slide but citations are time adjusted. An growth line indicates an area with increasing research interest
Cited count: 53 Title: E-commerce Ethics and Its Impact on Buyer Repurchase Intentions and Loyalty: An Empirical Study of Small and Medium Egyptian Businesses
Cited count: 46 Title: "Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions
Cited count: 29 Title: Challenges and research opportunities in eCommerce search and recommendations
Cited count: 23 Title: Cyber physical ecommerce logistics system: An implementation case in Hong Kong
We then look at application areas of the technology/ use cases. We do this by seeing what it is applied FOR
Consumers look for ecommerce usage in multiple areas which can be seen below
The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"
These use cases are based on most cited papers in history (see papers over years chart to discover timeline)
Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper
We then look at recent application areas of the technology/ use cases. We do this by seeing what it is applied FOR recently
Consumers look for ecommerce usage in multiple areas which can be seen below
The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"
These use cases are based on most cited papers in the years 2021.0, 2020.0
Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper
Analysis of developer questions
As part of R&D developers build and in the process as questions in developer forums. Let us
understand trends from this source.
Developer question filing trends
A total of 1400 questions were analyzed.
javascript, reactjs, django, python, php are the top 5 areas
Technology View
Now that we’ve understood the market, consumer & future research view let us switch
gears to understand companies that are investing & leveraging these technology
advancements. Patent analysis is key to understanding technologies that are being utilized
in this space. This also gives us an insight into organizations that will play a key role going
forward.
Analysis of patents
A total of 1229 patents were analyzed.
Patent filing trends
Applicants filing patent trends
Top inventor organizations are shown below.
A vibrant area is one where new entrants are filing patents. Here are companies that have filed in last 5 years sorted by citation count.
Let us take 3 views of what areas are being patented. 1) basis words in the abstract 2) basis topic classification of the patents 3) CPC classification
The top trends basis words are seen below
utility model, model discloses, commerce platform, electronic commerce, ecommerce transaction are the top 5 areas
The top trends basis topics are seen below
Information_technology_management, Enterprise_application_integration, Marketing, E-commerce, Data_management are the top 5 areas
The top discipline trends are seen below
The top 10 disciplines are:
cpc_1: Processing of requisition or of purchase orders
cpc_2: Graphical representation of items or shoppers
cpc_3: Electronic shopping
cpc_4: Item recommendations
cpc_5: Lists, e.g. purchase orders, compilation or processing
cpc_6: Payment architectures specially adapted for electronic shopping systems
cpc_7: Market data gathering, market analysis or market modelling
cpc_8: Interconnection or interaction of plural electronic cash registers [ECR] or to host computer, e.g. network details, transfer of information from host to ECR or from ECR to ECR
cpc_9: During e-commerce, i.e. online transactions
cpc_10: Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes involving authentication
Emerging discipline trends are seen below
The top 10 emerging disciplines are:
cpc_1: Processing of requisition or of purchase orders
cpc_2: Graphical representation of items or shoppers
cpc_3: Electronic shopping
cpc_4: Item recommendations
cpc_5: Lists, e.g. purchase orders, compilation or processing
cpc_6: Payment architectures specially adapted for electronic shopping systems
cpc_7: Market data gathering, market analysis or market modelling
cpc_8: Interconnection or interaction of plural electronic cash registers [ECR] or to host computer, e.g. network details, transfer of information from host to ECR or from ECR to ECR
cpc_9: During e-commerce, i.e. online transactions
cpc_10: Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes involving authentication
This report was auto generated by Code+AI algorithms driven machine on 2022-07-14