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The 2009-2014 Outlook for Semiconductor Intellectual Property (IP) in India

Published by: Icon Group International, Inc.

Published: Dec. 2, 2008 - 317 Pages


Table of Contents


1INTRODUCTION
1.1Overview
1.2What is Latent Demand and the P.I.E.?
1.3The Methodology
2SUMMARY OF FINDINGS
2.1The Latent Demand in India
2.2Top 100 Cities Sorted By Rank
2.3Latent Demand by Year in India
3ANDAMAN & NICOBAR ISLANDS
3.1Latent Demand by Year - Andaman & Nicobar Islands
3.2Cities Sorted by Rank - Andaman & Nicobar Islands
3.3Cities Sorted By District - Andaman & Nicobar Islands
4ANDHRA PRADESH
4.1Latent Demand by Year - Andhra Pradesh
4.2Cities Sorted by Rank - Andhra Pradesh
4.3Cities Sorted By District - Andhra Pradesh
5ARUNACHAL PRADESH
5.1Latent Demand by Year - Arunachal Pradesh
5.2Cities Sorted by Rank - Arunachal Pradesh
5.3Cities Sorted By District - Arunachal Pradesh
6ASSAM
6.1Latent Demand by Year - Assam
6.2Cities Sorted by Rank - Assam
6.3Cities Sorted By District - Assam
7BIHAR
7.1Latent Demand by Year - Bihar
7.2Cities Sorted by Rank - Bihar
7.3Cities Sorted By District - Bihar
8CHANDIGARH
8.1Latent Demand by Year - Chandigarh
8.2Cities Sorted by Rank - Chandigarh
8.3Cities Sorted By District - Chandigarh
9CHHATTISGARH
9.1Latent Demand by Year - Chhattisgarh
9.2Cities Sorted by Rank - Chhattisgarh
9.3Cities Sorted By District - Chhattisgarh
10DADRA & NAGAR HAVELI
10.1Latent Demand by Year - Dadra & Nagar Haveli
10.2Cities Sorted by Rank - Dadra & Nagar Haveli
10.3Cities Sorted By District - Dadra & Nagar Haveli
11DAMAN & DIU
11.1Latent Demand by Year - Daman & Diu
11.2Cities Sorted by Rank - Daman & Diu
11.3Cities Sorted By District - Daman & Diu
12DELHI
12.1Latent Demand by Year - Delhi
12.2Cities Sorted by Rank - Delhi
12.3Cities Sorted By District - Delhi
13GOA
13.1Latent Demand by Year - Goa
13.2Cities Sorted by Rank - Goa
13.3Cities Sorted By District - Goa
14GUJARAT
14.1Latent Demand by Year - Gujarat
14.2Cities Sorted by Rank - Gujarat
14.3Cities Sorted By District - Gujarat
15HARYANA
15.1Latent Demand by Year - Haryana
15.2Cities Sorted by Rank - Haryana
15.3Cities Sorted By District - Haryana
16HIMACHAL PRADESH
16.1Latent Demand by Year - Himachal Pradesh
16.2Cities Sorted by Rank - Himachal Pradesh
16.3Cities Sorted By District - Himachal Pradesh
17JAMMU & KASHMIR
17.1Latent Demand by Year - Jammu & Kashmir
17.2Cities Sorted by Rank - Jammu & Kashmir
17.3Cities Sorted By District - Jammu & Kashmir
18JHARKHAND
18.1Latent Demand by Year - Jharkhand
18.2Cities Sorted by Rank - Jharkhand
18.3Cities Sorted By District - Jharkhand
19KARNATAKA
19.1Latent Demand by Year - Karnataka
19.2Cities Sorted by Rank - Karnataka
19.3Cities Sorted By District - Karnataka
20KERALA
20.1Latent Demand by Year - Kerala
20.2Cities Sorted by Rank - Kerala
20.3Cities Sorted By District - Kerala
21LAKSHADWEEP
21.1Latent Demand by Year - Lakshadweep
21.2Cities Sorted by Rank - Lakshadweep
21.3Cities Sorted By District - Lakshadweep
22MADHYA PRADESH
22.1Latent Demand by Year - Madhya Pradesh
22.2Cities Sorted by Rank - Madhya Pradesh
22.3Cities Sorted By District - Madhya Pradesh
23MAHARASHTRA
23.1Latent Demand by Year - Maharashtra
23.2Cities Sorted by Rank - Maharashtra
23.3Cities Sorted By District - Maharashtra
24MANIPUR
24.1Latent Demand by Year - Manipur
24.2Cities Sorted by Rank - Manipur
24.3Cities Sorted By District - Manipur
25MEGHALAYA
25.1Latent Demand by Year - Meghalaya
25.2Cities Sorted by Rank - Meghalaya
25.3Cities Sorted By District - Meghalaya
26MIZORAM
26.1Latent Demand by Year - Mizoram
26.2Cities Sorted by Rank - Mizoram
26.3Cities Sorted By District - Mizoram
27NAGALAND
27.1Latent Demand by Year - Nagaland
27.2Cities Sorted by Rank - Nagaland
27.3Cities Sorted By District - Nagaland
28ORISSA
28.1Latent Demand by Year - Orissa
28.2Cities Sorted by Rank - Orissa
28.3Cities Sorted By District - Orissa
29PONDICHERRY
29.1Latent Demand by Year - Pondicherry
29.2Cities Sorted by Rank - Pondicherry
29.3Cities Sorted By District - Pondicherry
30PUNJAB
30.1Latent Demand by Year - Punjab
30.2Cities Sorted by Rank - Punjab
30.3Cities Sorted By District - Punjab
31RAJASTHAN
31.1Latent Demand by Year - Rajasthan
31.2Cities Sorted by Rank - Rajasthan
31.3Cities Sorted By District - Rajasthan
32SIKKIM
32.1Latent Demand by Year - Sikkim
32.2Cities Sorted by Rank - Sikkim
32.3Cities Sorted By District - Sikkim
33TAMIL NADU
33.1Latent Demand by Year - Tamil Nadu
33.2Cities Sorted by Rank - Tamil Nadu
33.3Cities Sorted By District - Tamil Nadu
34TRIPURA
34.1Latent Demand by Year - Tripura
34.2Cities Sorted by Rank - Tripura
34.3Cities Sorted By District - Tripura
35UTTAR PRADESH
35.1Latent Demand by Year - Uttar Pradesh
35.2Cities Sorted by Rank - Uttar Pradesh
35.3Cities Sorted By District - Uttar Pradesh
36UTTARANCHAL
36.1Latent Demand by Year - Uttaranchal
36.2Cities Sorted by Rank - Uttaranchal
36.3Cities Sorted By District - Uttaranchal
37WEST BENGAL
37.1Latent Demand by Year - West Bengal
37.2Cities Sorted by Rank - West Bengal
37.3Cities Sorted By District - West Bengal
38DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS
38.1Disclaimers & Safe Harbor
38.2ICON Group International, Inc. User Agreement Provisions

Abstract

This econometric study covers the latent demand outlook for semiconductor intellectual property (IP) across the states, union territories and cities of India. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across over 5,000 cities in India. For each city in question, the percent share the city is of it’s state or union territory and of India as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-à-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state or union territory and city, latent demand estimates are created for semiconductor intellectual property (IP). This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.

This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the cities in India). This study gives, however, my estimates for the latent demand, or the P.I.E., for semiconductor intellectual property (IP) in India. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of India. For each state or union territory, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.

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