DUBLIN–(BUSINESS WIRE)–The “Explainable AI Market by Offering, by Deployment, by Technology, by End-use Industry, by Application – Global Opportunity Analysis and Industry Forecast, 2021-2030” report has been added to ResearchAndMarkets.com’s offering.
The Global Explainable AI (XAI) Market size is estimated to be USD 3.50 billion in 2020 and is predicted to reach USD 21.03 billion by 2030 with a CAGR of 18.95% from 2021-2030.
Explainable AI is a method/technique in the space of artificial intelligence, where the solution can be analyzed and understood by humans. It is different than the traditional machine learning techniques, where developers are often fail to understand why the system has arrived at a specific decision. Explainable AI is gaining traction from industries such as healthcare, retail, media & entertainment, and aerospace & defense.
For instance, the use of explainable AI or XAI in the retail industry is imperative for predicting upcoming trends in fashion along with reason, and that would allow the retailers to stock and display the latest merchandise in their store. In addition, the concept of recommendation engines in the e-commerce industry is an example of explainable AI, where the system recommends products to the customer based on his/her search history. Further, recommendation engines also suggest accessories/additional products along with the product being selected for purchase. This is done with the help of explainable AI, where the system suggests products that are useful to the customer.
Market Dynamics and Trends
Explainable AI offers significant benefits such as higher customer retention rate, and better inventory management. Understanding the weakness of a model is a major way to maximize its performance. Better understanding of the models and reason for their failure makes it easier to improve them. Using explainable AI is a powerful way to detect flaws in the system and remove biases in the data, resulting in increased trust among the users. Explainable AI helps in verifying predictions in order to fine tune models, and gain newer insights to solve the problem at hand.
Fraud detection is a major application area of explainable AI. Explainable AI is useful to predict fraudulent attacks and determine which attack has a higher degree of threat. Cyber-attacks have become smarter over the years. For instance, in April 2019, approximately 540 million Facebook profiles were leaked, and were published on Amazon’s cloud computing service by third-party app developers. This is an example where explainable AI can be used to understand why and how this incident happened, in order to protect user information in the future.
Moreover, on 3rd July 2020, National Highways Authority of India (NHAI) was struck with a cyber-attack resulting in the loss of a huge amount of data stored in its server. This attack was a result of a weak cyber infrastructure. Such increasing number of attacks all over the world are creating demand for explainable AI in areas such as fraud detection among others. The growing demand for explainable AI has attracted major investments in recent time. For instance, in 2019, Fiddler Labs managed to bag a funding of USD 10.2 Mn by Lightspeed Ventures and Lux Capital. This funding has helped the company to take its total funding to reach USD 13.2 Mn since 2018.
However, greater deployment costs for explainable AI is a major factor barring the growth of the market. High capital investment is a major reason why most companies find it difficult to implement such technologies in their systems.
Key Topics Covered:
1. Introduction
2. Explainable AI (XAI) Market – Executive Summary
3. Market Overview
3.1. Market Definition and Scope
3.2. Market Dynamics
4. Covid-19 Analysis
4.1. Impact on Market Size
5. Market Share Analysis
5.1. Market Share Analysis of Top Explainable AI (XAI) Providers, 2020
6. Global Explainable AI (XAI) Market, by Offering
6.1. Overview
6.2. Solutions
6.3. Services
7. Global Explainable AI (XAI) Market, by Deployment
7.1. Overview
7.2. Cloud
7.3. On-Premise
8. Global Explainable AI (XAI) Market, by Technology
8.1. Overview
8.2. Machine Learning
8.3. Natural Language Processing
8.4. Contextual Awareness
8.5. Others
9. Global Explainable AI (XAI) Market, by Application
9.1. Overview
9.2. Fraud Detection
9.3. Drug Discovery
9.4. Predictive Maintenance
9.5. Social Media Advertising
9.6. Identity & Access Management
9.7. Recommendation Engines
9.8. Supply Chain Management
9.9. Other Applications
10. Global Explainable AI (XAI) Market, by End-Use Industry
10.1. Overview
10.2. Telecom
10.3. Healthcare
10.4. Bfsi
10.5. Public Sector
10.6. Retail
10.7. Logistics
10.8. Aerospace & Defense
10.9. Media & Entertainment
10.10. Other Industries
11. Global Explainable AI (XAI) Market, by Region
11.1. Overview
11.2. North America
11.3. Europe
11.4. Asia-Pacific
11.5. Rest of World
12. Company Profiles
12.1. International Business Machines Corporation
12.2. Microsoft Corporation
12.3. Google LLC
12.4. Datarobot, Inc.
12.5. Factmata
12.6. Darwinai
12.7. Digite, Inc.
12.8. Kyndi Inc.
12.9. Hacarus Inc.
12.10. Fiddler AI
12.11. Techman Robot Inc.
12.12. Precise Automation
For more information about this report visit https://www.researchandmarkets.com/r/a7gs0u
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