This study covers the latent demand outlook for diabetes therapeutics and diagnostics 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 4,900 cities in India. For each city in question, the percent share the city is of its 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, union territory, and city, latent demand estimates are created for diabetes therapeutics and diagnostics. 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.
In this report we define the sales of diabetes therapeutics and diagnostics as including all commonly understood products falling within this broad category, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Abbot Laboratories, Bayer, Becton Dickson, Merck, Sanofi, and Takeda. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2022).
1 INTRODUCTION
1.1 OVERVIEW
1.2 WHAT IS LATENT DEMAND AND THE P.I.E.?
1.3 THE METHODOLOGY
1.3.1 STEP 1. PRODUCT DEFINITION AND DATA COLLECTION
1.3.2 STEP 2. FILTERING AND SMOOTHING
1.3.3 STEP 3. FILLING IN MISSING VALUES
1.3.4 STEP 4. VARYING PARAMETER, NON-LINEAR ESTIMATION
1.3.5 STEP 5. FIXED-PARAMETER LINEAR ESTIMATION
1.3.6 STEP 6. AGGREGATION AND BENCHMARKING
1.4 FREQUENTLY ASKED QUESTIONS (FAQ)
1.4.1 CATEGORY DEFINITION
1.4.2 UNITS
1.4.3 METHODOLOGY
2 SUMMARY OF FINDINGS
2.1 LATENT DEMAND IN INDIA
2.2 TOP 100 CITIES SORTED BY RANK
2.3 LATENT DEMAND BY YEAR IN INDIA
3 ANDAMAN & NICOBAR ISLANDS
3.1 LATENT DEMAND BY YEAR - ANDAMAN & NICOBAR ISLANDS
3.2 CITIES SORTED BY RANK - ANDAMAN & NICOBAR ISLANDS
3.3 CITIES SORTED BY DISTRICT - ANDAMAN & NICOBAR ISLANDS
4 ANDHRA PRADESH
4.1 LATENT DEMAND BY YEAR - ANDHRA PRADESH
4.2 CITIES SORTED BY RANK - ANDHRA PRADESH
4.3 CITIES SORTED BY DISTRICT - ANDHRA PRADESH
5 ARUNACHAL PRADESH
5.1 LATENT DEMAND BY YEAR - ARUNACHAL PRADESH
5.2 CITIES SORTED BY RANK - ARUNACHAL PRADESH
5.3 CITIES SORTED BY DISTRICT - ARUNACHAL PRADESH
6 ASSAM
6.1 LATENT DEMAND BY YEAR - ASSAM
6.2 CITIES SORTED BY RANK - ASSAM
6.3 CITIES SORTED BY DISTRICT - ASSAM
7 BIHAR
7.1 LATENT DEMAND BY YEAR - BIHAR
7.2 CITIES SORTED BY RANK - BIHAR
7.3 CITIES SORTED BY DISTRICT - BIHAR
8 CHANDIGARH
8.1 LATENT DEMAND BY YEAR - CHANDIGARH
8.2 CITIES SORTED BY RANK - CHANDIGARH
8.3 CITIES SORTED BY DISTRICT - CHANDIGARH
9 CHHATTISGARH
9.1 LATENT DEMAND BY YEAR - CHHATTISGARH
9.2 CITIES SORTED BY RANK - CHHATTISGARH
9.3 CITIES SORTED BY DISTRICT - CHHATTISGARH
10 DADRA & NAGAR HAVELI
10.1 LATENT DEMAND BY YEAR - DADRA & NAGAR HAVELI
10.2 CITIES SORTED BY RANK - DADRA & NAGAR HAVELI
10.3 CITIES SORTED BY DISTRICT - DADRA & NAGAR HAVELI
11 DAMAN & DIU
11.1 LATENT DEMAND BY YEAR - DAMAN & DIU
11.2 CITIES SORTED BY RANK - DAMAN & DIU
11.3 CITIES SORTED BY DISTRICT - DAMAN & DIU
12 DELHI
12.1 LATENT DEMAND BY YEAR - DELHI
12.2 CITIES SORTED BY RANK - DELHI
12.3 CITIES SORTED BY DISTRICT - DELHI
13 GOA
13.1 LATENT DEMAND BY YEAR - GOA
13.2 CITIES SORTED BY RANK - GOA
13.3 CITIES SORTED BY DISTRICT - GOA
14 GUJARAT
14.1 LATENT DEMAND BY YEAR - GUJARAT
14.2 CITIES SORTED BY RANK - GUJARAT
14.3 CITIES SORTED BY DISTRICT - GUJARAT
15 HARYANA
15.1 LATENT DEMAND BY YEAR - HARYANA
15.2 CITIES SORTED BY RANK - HARYANA
15.3 CITIES SORTED BY DISTRICT - HARYANA
16 HIMACHAL PRADESH
16.1 LATENT DEMAND BY YEAR - HIMACHAL PRADESH
16.2 CITIES SORTED BY RANK - HIMACHAL PRADESH
16.3 CITIES SORTED BY DISTRICT - HIMACHAL PRADESH
17 JAMMU & KASHMIR
17.1 LATENT DEMAND BY YEAR - JAMMU & KASHMIR
17.2 CITIES SORTED BY RANK - JAMMU & KASHMIR
17.3 CITIES SORTED BY DISTRICT - JAMMU & KASHMIR
18 JHARKHAND
18.1 LATENT DEMAND BY YEAR - JHARKHAND
18.2 CITIES SORTED BY RANK - JHARKHAND
18.3 CITIES SORTED BY DISTRICT - JHARKHAND
19 KARNATAKA
19.1 LATENT DEMAND BY YEAR - KARNATAKA
19.2 CITIES SORTED BY RANK - KARNATAKA
19.3 CITIES SORTED BY DISTRICT - KARNATAKA
20 KERALA
20.1 LATENT DEMAND BY YEAR - KERALA
20.2 CITIES SORTED BY RANK - KERALA
20.3 CITIES SORTED BY DISTRICT - KERALA
21 LAKSHADWEEP
21.1 LATENT DEMAND BY YEAR - LAKSHADWEEP
21.2 CITIES SORTED BY RANK - LAKSHADWEEP
21.3 CITIES SORTED BY DISTRICT - LAKSHADWEEP
22 MADHYA PRADESH
22.1 LATENT DEMAND BY YEAR - MADHYA PRADESH
22.2 CITIES SORTED BY RANK - MADHYA PRADESH
22.3 CITIES SORTED BY DISTRICT - MADHYA PRADESH
23 MAHARASHTRA
23.1 LATENT DEMAND BY YEAR - MAHARASHTRA
23.2 CITIES SORTED BY RANK - MAHARASHTRA
23.3 CITIES SORTED BY DISTRICT - MAHARASHTRA
24 MANIPUR
24.1 LATENT DEMAND BY YEAR - MANIPUR
24.2 CITIES SORTED BY RANK - MANIPUR
24.3 CITIES SORTED BY DISTRICT - MANIPUR
25 MEGHALAYA
25.1 LATENT DEMAND BY YEAR - MEGHALAYA
25.2 CITIES SORTED BY RANK - MEGHALAYA
25.3 CITIES SORTED BY DISTRICT - MEGHALAYA
26 MIZORAM
26.1 LATENT DEMAND BY YEAR - MIZORAM
26.2 CITIES SORTED BY RANK - MIZORAM
26.3 CITIES SORTED BY DISTRICT - MIZORAM
27 NAGALAND
27.1 LATENT DEMAND BY YEAR - NAGALAND
27.2 CITIES SORTED BY RANK - NAGALAND
27.3 CITIES SORTED BY DISTRICT - NAGALAND
28 ORISSA
28.1 LATENT DEMAND BY YEAR - ORISSA
28.2 CITIES SORTED BY RANK - ORISSA
28.3 CITIES SORTED BY DISTRICT - ORISSA
29 PONDICHERRY
29.1 LATENT DEMAND BY YEAR - PONDICHERRY
29.2 CITIES SORTED BY RANK - PONDICHERRY
29.3 CITIES SORTED BY DISTRICT - PONDICHERRY
30 PUNJAB
30.1 LATENT DEMAND BY YEAR - PUNJAB
30.2 CITIES SORTED BY RANK - PUNJAB
30.3 CITIES SORTED BY DISTRICT - PUNJAB
31 RAJASTHAN
31.1 LATENT DEMAND BY YEAR - RAJASTHAN
31.2 CITIES SORTED BY RANK - RAJASTHAN
31.3 CITIES SORTED BY DISTRICT - RAJASTHAN
32 SIKKIM
32.1 LATENT DEMAND BY YEAR - SIKKIM
32.2 CITIES SORTED BY RANK - SIKKIM
32.3 CITIES SORTED BY DISTRICT - SIKKIM
33 TAMIL NADU
33.1 LATENT DEMAND BY YEAR - TAMIL NADU
33.2 CITIES SORTED BY RANK - TAMIL NADU
33.3 CITIES SORTED BY DISTRICT - TAMIL NADU
34 TRIPURA
34.1 LATENT DEMAND BY YEAR - TRIPURA
34.2 CITIES SORTED BY RANK - TRIPURA
34.3 CITIES SORTED BY DISTRICT - TRIPURA
35 UTTAR PRADESH
35.1 LATENT DEMAND BY YEAR - UTTAR PRADESH
35.2 CITIES SORTED BY RANK - UTTAR PRADESH
35.3 CITIES SORTED BY DISTRICT - UTTAR PRADESH
36 UTTARAKHAND
36.1 LATENT DEMAND BY YEAR - UTTARAKHAND
36.2 CITIES SORTED BY RANK - UTTARAKHAND
36.3 CITIES SORTED BY DISTRICT - UTTARAKHAND
37 WEST BENGAL
37.1 LATENT DEMAND BY YEAR - WEST BENGAL
37.2 CITIES SORTED BY RANK - WEST BENGAL
37.3 CITIES SORTED BY DISTRICT - WEST BENGAL
38 DISCLAIMERS, WARRANTIES, AND USER AGREEMENT PROVISIONS
38.1 DISCLAIMERS & SAFE HARBOR
38.2 ICON GROUP INTERNATIONAL, INC. USER AGREEMENT PROVISIONS
