Machine Learning Market in India (2018-2023) Overview, Share, Scope, Revenue, Trends, Drivers, Challenges, Growth Forecast and Data on City-Wise Job Split and Implementation in Business Functions (Finance, Accounting, IT, Operations, Admin, General Management)

April 2019 | 46 pages | ID: M0DFB927A483EN
Netscribes (India) Pvt. Ltd.

Abstracts

Machine learning (ML) is an emerging artificial intelligence (AI) technology which is being adopted aggressively by retail, transportation (especially airlines), and financial services companies operating in India. In 2018, this resulted in the creation of ~0.18 Mn to ~0.2 Mn new jobs, for professionals who have skills and expertise in machine learning applications.

Global market insights:

The global machine learning market is expected to reach a value of INR 543.18 Bn by the end of 2023, from INR 91.83 Bn in 2017, expanding at a compound annual growth rate (CAGR) of nearly 42.99%. This growth is attributed to technological advancements, and its proliferation in the field of data generation.

India market insights:

In India, though the adoption of AI applications is still at a nascent stage, it is anticipated that the market will grow at a high rate in the coming years. Among the various AI technologies being implemented in India, the highest investments are in the field of machine learning applications. In India, investments in artificial intelligence (which was INR 773.64 Bn in 2017) is expected to expand at a CAGR of 33.49% during the 2018-2023 period. The reason behind such high anticipated investments is the growing popularity of AI technologies, especially ML applications, across business functions like finance, accounting, general management, IT, operations, and administration.

Key growth drivers of the market:

• The implementation of machine learning reduces the chances of human error. Also, it makes machines smarter, thereby reducing their reliance on operators. In a way, machine learning enhances technicians’ accuracy and efficiency, owing to which many companies are switching from traditional data interpretation methods, to machine learning. This, in turn, is providing growth opportunities for the market in India.
• Cloud-based analytics, when used in conjunction with machine learning, helps analysts identify anomalies in real time, so that they can be rectified swiftly. The introduction of the concept of stream-based analytic platforms has opened up new avenues for the extensive use of machine learning applications in various sectors of the Indian market.

Key deterrents to the growth of the market:

Most machine learning applications are interlinked with cloud-based analytics. In order to update customer information on cloud-based platforms, front line employees ask customers to provide their personal details (such as social security numbers, financial information, etc.). However, customers are often reluctant to share such information, owing to concerns regarding privacy. Customers’ apprehensions regarding the safety of their information hinders the implementation of machine learning applications.

Companies covered:

• Artivatic Data Labs Pvt. Ltd.
• Formcept Technologies & Solutions Pvt. Ltd.
• PixelCrayons
• QBurst Technologies Pvt. Ltd.
• Active Intelligence Pte. Ltd.
• Amazon Web Services, Inc.
• Fair Isaac Corporation
• International Business Machines Corporation
• Microsoft Corporation
• Xoriant Corporation

Customizations available

With the given market data, we offer customizations according to specific needs.

Contents

CHAPTER 1: EXECUTIVE SUMMARY

CHAPTER 2: SOCIO-ECONOMIC INDICATORS

CHAPTER 3: INTRODUCTION

3.1. Indian machine learning market - definition and structure
3.2. Application of machine learning across industries

CHAPTER 4: GLOBAL MACHINE LEARNING MARKET

4.1. Market overview
4.2. Market size and growth forecast – value-wise (2017-2023e)
4.3. Number of machine learning applications published by global companies (2017)
  IBM
  Microsoft
  Google
  LinkedIn
  Facebook
  Intel
  Fujitsu

CHAPTER 5: ARTIFICIAL INTELLIGENCE MARKET IN INDIA

5.1. Market overview
5.2. Artificial intelligence market size and growth forecast – investment-wise (2017-2023e)
5.3. Artificial intelligence jobs – city-wise split (2017)
  Bengaluru
  Delhi NCR
  Mumbai
  Hyderabad
  Pune
  Chennai
  Others
5.4. Artificial intelligence applications – business function-wise
  Precision agriculture
  Healthcare
  Indian language project

CHAPTER 6: MACHINE LEARNING MARKET SEGMENTATION IN INDIA

6.1. Machine learning software development – sector-wise split (2018)
  IT services
  Electronics and heavy electrical
  Agriculture
  Automobiles
6.2. Machine learning software development – focus area-wise split (2018)
  Surveillance
  Robotics
  Language processing
  Recruitment
  Virtual assistant
  Process management
  Customer analytics
  Analytics
  Decision making
6.3. Machine learning market – company type-wise split (2018)
  International
  Domestic
6.4. Popularity of machine learning applications – business functions-wise split (2018)
  Finance function
  Accounting
  General management
  IT function
  Operations/production
  Administration

CHAPTER 7: KEY GROWTH DRIVERS OF THE MARKET

CHAPTER 8: KEY DETERRENTS TO THE GROWTH OF THE MARKET

CHAPTER 9: COMPETITIVE LANDSCAPE

9.1. Artivatic Data Labs Pvt. Ltd.
  Corporate information
  Business description
  Products and services
  Key people
Note: Similar information areas will be covered for the remaining competitors
9.2. Formcept Technologies & Solutions Pvt. Ltd.
9.3. PixelCrayons.com
9.4. QBurst Technologies Pvt. Ltd.
9.5. Active Intelligence Pte. Ltd.
9.6. Amazon Web Services, Inc.
9.7. Fair Isaac Corporation
9.8. International Business Machines Corporation
9.9. Microsoft Corporation
9.10. Xoriant Corporation

CHAPTER 10: RECENT DEVELOPMENTS

Appendix
1. Research methodology
2. About Research On Global