Commercial Artificial Intelligence Market : Segmented By Application (Customer Relationship Management, Warehouse, Supply Chain Analysis, Fake Review Analysis and Others): By End-user (Retail, Electronics, Logistics, Food and Beverages and Others): By Platform (E-Commerce and In Store): Global Analysis by Market size, share & trends for 2020-2021 and forecasts to 2031
Commercial Artificial Intelligence Market to surpass USD 54.9 billion by 2031 from USD 2.1 billion in 2021 at a CAGR of 38.54% within the coming years, i.e., 2021-31. Product overview Artificia... もっと見る
SummaryCommercial Artificial Intelligence Market to surpass USD 54.9 billion by 2031 from USD 2.1 billion in 2021 at a CAGR of 38.54% within the coming years, i.e., 2021-31.Product overview Artificial Intelligence (AI) is the mechanism of developing smart robots that perform work and react similarly to humans. Artificial Intelligence in commerce empowers faster business decisions based on outputs from cognitive technologies and saves time and money by self-automating and enhancing routine courses and tasks. Business leaders are looking for the behaviors to refine their competitive edge, and are implementing AI to improve the canons, customer experience, and revenues, and fast processing. Commerce Artificial Intelligence (AI) is set to cover the way for the smart commercialism in industries like food & beverages, electronics, fashion, and all other sectors, where progressions can be achieved by machine learning and forecasting the human behavior. Market Highlights Commercial Artificial Intelligence Market is predicted to project a notable CAGR of 38.54% in 2031 Commerce Artificial Intelligence Market is majorly boosted by growing practice of artificial intelligence in customer relationship management, warehouse automation, and in online stores, especially in clothing. The increasing investments in AI-based solutions along with the rising machine capacity for verdict formation from trillion bytes of online data is projected to drive the market growth during the forecast period 2021-2031. Recent News and Development In September 2020, Google LLC introduced a bundle of new products and capabilities within its cloud portfolio, including various new products and features in Contact Center AI and new versions of Document AI In June 2020, Microsoft Corp. acquired Cyber X, Inc. a software company. This acquisition allows Microsoft to accelerate and secure customers’ IoT deployments. Commercial Artificial Intelligence Market: Segments E-commerce segment to grow with the highest CAGR during 2021-2031 Based on the Platform, the market is segmented into -commerce and In-store. The E-commerce segment holds the highest market share of Commercial Artificial Intelligence. Commerce Artificial Intelligence, which has started showing results on diverse industries such as marketing, healthcare finance, and more, is now being used in the area of e-commerce. It is predicted to see a huge surge of Commerce Artificial Intelligence in e-commerce, and this technology is used to develop valuable business insights. Today, Commerce Artificial Intelligence is adapting the way in which e-commerce stores function and propose the services to their customers. Warehouse Segment to grow with the highest CAGR during 2021-2031 Commercial Artificial Intelligence Market by Application is segmented into Customer Relationship Management, Warehouse, Supply Chain Analysis, Fake Review Analysis, and Others. The market size of the Warehouse segment is anticipated to grow at the highest CAGR during the forecast period owing to the usage of robots to automate and hurry up of work. Commerce Artificial Intelligence is all around us, all the businesses have been using AI technology to advance the decision-making process, and the practice of Customer Relationship Management is growing as well. Combination of AI into CRM can automate the customer emails, reports, capture the data, and more, which evades the risk of human errors in everyday life and in organizations. Commercial Artificial Intelligence Market: Market Dynamics Drivers Growing Use of AI in CRM Customer Relationship Management (CRM) software has grew with many advances such as face and voice recognition. Companies are using AI to increase their decision-making procedures such as online customer support, intelligent personal assistants, and course automation. 65% of the company's business comes from existing customers and it costs five times greater to interest a new customer than to save an existed satisfied one. Hence, the use of CRM is essential. Integration of Artificial Intelligence tools in CRM will help them to better understand the customers by processing more evidence in terms of data. Increasing Deployment in Growing E-Commerce Sector Artificial Intelligence is empowering consumers to sense, predict, and program. It benefits startups, developers, manufacturers, and retailers to set a new example in the industry by improving user experience. Trends of customers are shifting in terms of using such technological goods and purchasing power. Advanced Visual Search engines such as Google, Amazon, Bing uses real-world images for online searches. Hence, use of AI in e-commerce industry is driving the demand for Commerce Artificial Intelligence during the forecast timeframe. Restraints High Cost of AI Solutions Custom AI solution costs between $6000 to $300,000. This price comprises developments and rollout. Businesses that are limited to in-house skills or unfamiliar with Artificial Intelligence often must outsource where main challenge of the cost comes around. Small and medium-sized organizations scuffles when it comes to accepting AI advancement because of their higher cost. Artificial Intelligence adopters are inclined to think about these technologies more lavishly in order to grow and increase their market share, while companies with less experience emphasize mostly on dipping cost whereas high digitized companies invest more in AI and derive greater value from its use. Thus, High cost is set to be a restraint for the growth of Commerce Artificial Intelligence during the forecast period. Impact of the COVID-19 on the Commercial Artificial Intelligence Market Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the world with the WHO declaring it a public health emergency. The global impacts of the coronavirus disease 2019 are already starting to be felt, and will significantly affect the Commercial Artificial Intelligence market in 2021. The outbreak of COVID-19 has brought effects on many features, like aircraft terminations; travel bans and quarantines; restaurants, cafes closed; all outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market instability; dropping business confidence, building panic among the population, and doubt about future. Commercial Artificial Intelligence Market: Key Players Google, Inc. Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis Lifegraph Tomwise, Inc. Sense.ly, Inc. Zebra Medical Vision, Inc. Baidu, Inc. H2O ai IBM Watson Health NVIDIA Enlitic, Inc. Google, Inc. Intel Corporation Microsoft Corporation Other prominent players Commercial Artificial Intelligence Market: Regions Commercial Artificial Intelligence Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East, and Africa. North America is estimated to contribute the largest share of the Commercial Artificial Intelligence Market during the forecast period owing to the overall preference and enthusiasm shown by the general population in the region towards adopting Commercial Artificial Intelligence. Moreover, large number of players functioning in this region also influence to drive the growth of the market in North America. Europe also holds a major share of the global market. The market in the region is also projected to register the highest CAGR during the forecast period. Commercial Artificial Intelligence Market is further segmented by region into: North America Market Size, Share Trends, Opportunities, Y-o-Y Growth, CAGR-United States and Canada Latin America Market Size, Share Trends, Opportunities, Y-o-Y Growth, CAGR-Mexico, Argentina, Brazil, and Rest of Latin America Europe Market Size, Share Trends, Opportunities, Y-o-Y Growth, CAGR- United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey and Rest of Europe Asia Pacific Market Size, Share Trends, Opportunities, Y-o-Y Growth, CAGR-India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC Middle East and Africa Market Size, Share Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA Commercial Artificial Intelligence Market report also contains analysis on: Commercial Artificial Intelligence Market Segments: By Application Customer Relationship Management Warehouse Supply Chain Analysis Fake Review Analysis Others By End-user Retail Electronics Logistics Food and Beverages Others By Platform E-Commerce In-Store By Organization Size Small Medium Large Enterprises Commercial Artificial Intelligence Market Dynamics Commercial Artificial Intelligence Market Size Supply & Demand Current Trends/Issues/Challenges Competition & Companies Involved in the Market Value chain of the Market Market Drivers and Restraints Commercial Artificial Intelligence Market Report Scope and Segmentation Report Attribute Details Market size value in 2021 USD 2.1 billion Revenue forecast in 2031 USD 54.9 billion Growth Rate CAGR of 38.54% from 2021 to 2031 Base year for estimation 2021 Quantitative units Revenue in USD million and CAGR from 2021 to 2031 Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends Segments covered Application, End-user, Platform, Organization Size, and region Region scope North America; Europe; Asia Pacific; Latin America; Middle East & Africa (MEA) Key companies profiled Google Inc, Tomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai IBM Watson Health, NVIDIA, Enlitic, Inc.., Intel Corporation, and Microsoft Corporation, and Others Table of ContentsContents1. Executive Summary 2. Commercial Artificial Intelligence Market 2.1. Product Overview 2.2. Market Definition 2.3. Segmentation 2.4. Assumptions and Acronyms 3. Research Methodology 3.1. Research Objectives 3.2. Primary Research 3.3. Secondary Research 3.4. Forecast Model 3.5. Market Size Estimation 4. Average Pricing Analysis 5. Macro-Economic Indicators 6. Market Dynamics 6.1. Growth Drivers 6.2. Restraints 6.3. Opportunity 6.4. Trends 7. Correlation & Regression Analysis 7.1. Correlation Matrix 7.2. Regression Matrix 8. Recent Development, Policies & Regulatory Landscape 9. Risk Analysis 9.1. Demand Risk Analysis 9.2. Supply Risk Analysis 10. Commercial Artificial Intelligence Market Analysis 10.1. Porters Five Forces 10.1.1. Threat of New Entrants 10.1.2. Bargaining Power of Suppliers 10.1.3. Threat of Substitutes 10.1.4. Rivalry 10.2. PEST Analysis 10.2.1. Political 10.2.2. Economic 10.2.3. Social 10.2.4. Technological 11. Commercial Artificial Intelligence Market 11.1. Market Size & forecast, 2020A-2030F 11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12. Commercial Artificial Intelligence Market: Market Segmentation 12.1. By Regions 12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F 12.2. By End-user: Market Share (2021-2031F) 12.2.1. Retail, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.2.2. Electronics, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.2.3. Logistics, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.2.4. Food and Beverages, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.2.5. Others, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.3. By Application: Market Share (2021-2031F) 12.3.1. Customer Relationship Management, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.3.2. Warehouse, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.3.3. Supply Chain Analysis, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.3.4. Fake Review Analysis, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.3.5. Others, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.4. By Platform: Market Share (2021-2031F) 12.4.1. E-Commerce, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 12.4.2. In Store, By Value (USD Million) 2021-2031F; Y-o-Y Growth (%) 2021-2030F 13 Company Profile 13.1. Google Inc. 13.1.1. Company Overview 13.1.2. Company Total Revenue (Financials) 13.1.3. Market Potential 13.1.4. Global Presence 13.1.5. Key Performance Indicators 13.1.6. SWOT Analysis 13.1.7. Product Launch 13.2. Tomwise, Inc. 13.3. Lifegraph, Sense.ly, Inc. 13.4. Zebra Medical Vision, Inc 13.5. Baidu, Inc. 13.6. H2O ai 13.7. IBM Watson Health 13.8. NVIDIA 13.9. Enlitic, Inc. 13.10. Intel Corporation 13.11. Microsoft Corporation 13.12. Other Prominent Players 14 Consultant Recommendation **The above given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
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