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Artificial Intelligence is Reshaping the Indian Industry Landscape, and Business Leaders Look to Capitalize on Strategic and Economic Benefits of AI Applications
27-Feb-2019
South Asia, Middle East & North Africa
Market Research
P98B-01-00-00-00
IT03811-SA-MR_22893
Artificial Intelligence (AI) allows computer and computer-enabled systems to transcend beyond traditional computing and provides a layer of intelligence through algorithms that enable machines to complete tasks and produce results that are analogous to human-like thought processes, decision making and problem solving. The democratization of data brought about by the digital revolution has led to increasing adoption of AI-related technologies, which help business processes shift from a traditional data-centric IT to a more evolved information-centric IT process. The combination of superior hardware, cloud-based computing, and the proliferation of Big Data technology has spurred considerable development in the performance of machine learning - one of the pillars of AI that enables machines to learn from their own experience rather than from human intervention. By leveraging the advanced insight-generation and knowledge engineering capabilities of AI, businesses have the power to make informed decisions based on logical reasoning.
The last decade has seen the growth of AI from a technological luxury providing static intelligence to a strategic necessity delivering incremental intelligence through revenue generation. The Indian market offers tremendous scope for technology-assisted solutions, and in recent years, it has been an active enabler for adopting analytics and AI-based solutions. The push from the government to utilize technological advancements to reduce financial losses and increase output efficiency has also been a key driver for the adoption of AI applications in India. While there is considerable traction in the adoption of advanced technology, the Indian market has its own challenges as compared to other developed nations. As a result, service offerings in the AI market are subjected to challenges such as reluctance to invest, lack of trust owing to data privacy concerns, and security issues. There has been an exponential increase in the number of AI-based start-up companies in the last five years, which are focused on delivering solutions that cater to industry-specific requirements and generate reliable, revenue-generating insights.
Research Highlights
The study provides an overview of the AI market in India, driving factors and challenges for AI adoption, popular AI applications that have found increasing adoption in the market, and case studies demonstrating success of AI adoption and also explores some of the key industry verticals that have either already infused or are looking to incorporate AI into their business processes along with guidance on areas of opportunity for organizations in the AI space. The study also aims to inform AI services about the potential growth opportunities for AI offerings and possible strategies to increase their footprint in the Indian market.
Author: Rakesh Thayyil
Disruptive Trends for Artificial Intelligence (AI) in India
Market Overview—Definitions
Evolution of AI Systems
Transformative Landscape of AI
AI—Value Chain
Government Initiatives—Push for Adoption
Economic Impact of AI for India
Key Drivers for AI Adoption in India
Key Restraints for AI Adoption in India
Growth Opportunity 1—Acceleration of Digital Automation
Growth Opportunity 2—Autonomous Framework Approach
Growth Opportunity 3—Risk Mitigation
Strategic Imperatives for AI Service Providers
AI—Key Industry Verticals in India
AI in BFSI—Overview of Sector
BFSI—Industry Challenges and Strategic AI Use Cases
AI in BFSI—Case Studies
AI in BFSI Opportunity Attractiveness Dashboard
AI in Healthcare—Overview of Sector
HealthCare—Industry Challenges and Strategic AI Use Cases
AI in Healthcare—Case Studies
AI in Healthcare Opportunity Attractiveness Dashboard
AI in Retail—Overview of Sector
Retail—Industry Challenges and Strategic AI Use Cases
AI in Retail—Case Studies
AI in Retail Opportunity Attractiveness Dashboard
AI in Transportation & Logistics—Overview of Sector
Transportation & Logistics—Industry Challenges and Strategic AI Use Cases
AI in Transportation & Logistics—Case Studies
AI in Transportation & Logistics Opportunity Attractiveness Dashboard
AI in Manufacturing—Overview of Sector
Manufacturing—Industry Challenges and Strategic AI Use Cases
AI in Manufacturing—Case Studies
AI in Manufacturing Opportunity Attractiveness Dashboard
AI in Agriculture—Overview of Sector
Agriculture—Industry Challenges and Strategic AI Use Cases
AI in Agriculture—Case Studies
AI in Agriculture Opportunity Attractiveness Dashboard
NLP
NLP—Key Application and Use Cases
NLP—Key Application and Use Cases (continued)
Machine Learning
Machine Learning—Key Application and Use Cases
Machine Learning—Key Application and Use Cases (continued)
Machine Perception
Machine Perception—Key Application and Use Cases
Machine Perception—Key Application and Use Cases (continued)
Predictive Analytics
Predictive Analytics—Key Application and Use Cases
Predictive Analytics—Key Application and Use Cases (continued)
Key Recommendations
Legal Disclaimer
Abbreviations and Acronyms Used
List of Exhibits
The Frost & Sullivan Story
Value Proposition—Future of Your Company & Career
Global Perspective
Industry Convergence
360º Research Perspective
Implementation Excellence
Our Blue Ocean Strategy
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Research Highlights
The study provides an overview of the AI market in India, driving factors and challenges for AI adoption, popular AI applications that have found increasing adoption in the market, and case studies demonstrating success of AI adoption and also explores some of the key industry verticals that have either already infused or are looking to incorporate AI into their business processes along with guidance on areas of opportunity for organizations in the AI space. The study also aims to inform AI services about the potential growth opportunities for AI offerings and possible strategies to increase their footprint in the Indian market.
Author: Rakesh Thayyil
| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Jonas Zelba |
| Industries | Information Technology |
| WIP Number | P98B-01-00-00-00 |
| Is Prebook | No |
| GPS Codes | 99DB-C1,9705-C1,9A65-C1,9658,9659,9B07-C1 |
Assessment of Artificial Intelligence Market in India—Key Industrial Applications and Insights, 2018
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