The Asia-Pacific AI in e-commerce market was valued at $385 million in 2018 and is growing at a CAGR of 26.7% during the forecast period. The increasing investment from prominent e-commerce companies, such as Alibaba, Amazon, and Walmart, is expected to augment the demand for AI in e-commerce in the Asia-Pacific region during the forecast period.

 The Asia-Pacific AI in e-commerce market is segmented on the basis of application into pricing & promotion, supply chain management, marketing, and others such as demand prediction & optimization. The marketing segment held the highest share in 2018 owing to the growing convergence of analytics in marketing to encourage operational efficiency while improving the customer experience. Based on geography, the Asia-Pacific AI in e-commerce market is further segregated into China, Japan, India, and Rest of Asia-Pacific. Among geography, China is projected to have a considerable share in the Asia-Pacific AI in e-commerce market.  

The companies which are covered in the Asia-Pacific AI in e-commerce market include Amazon.com Inc., IBM Corp., Appier Inc., and ViSenze Pte Ltd. Product launch, merger, and acquisition, collaborations with government, and technological advancements through which market players are considerably contributing to the market growth to stay competitive in the market. Additionally, the rising partnerships for AI technology across countries, including China, India, Singapore, and South Korea, tend to accelerate the implementation of AI in the region. For instance, in June 2017, China Center for Information Industry Development, along with the major providers of AI platforms, such as Intel China, iFlytek Co. Ltd., JD.com, SAP China, and Ecovacs Robotics Co., formed China AI Industry Innovation Alliance or CAIIIA. This association has established goals to launch 20 pilot projects and set up a general technology platform over the next three years.

Research Methodology

The market study of the Asia-Pacific AI in e-commerce market is incorporated by extensive primary and secondary research conducted by the research team.  Secondary research has been conducted to refine the available data to breakdown the market into various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity to our reports.

Secondary Sources Include

• Financial reports of companies involved in the market.
• Whitepapers, research-papers, and news blogs.
• Company websites and their product catalog.

The report is intended for AI solution providers, e-commerce companies, logistic service providers, software vendors, system integrators, investment companies, government organizations, and other market participants for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market delivering insights into the market for making better business decisions.

Market Segmentation

1. Asia-Pacific AI in E-commerce Market Research and Analysis by Application

The Report Covers

• Comprehensive research methodology of the Asia-Pacific AI in E-commerce market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the Asia-Pacific AI in E-commerce market.
• Insights about market determinants that are stimulating the Asia-Pacific AI in E-commerce market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
• Extensive profiles and recent developments of market players.